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<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2024.1496176</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparative efficacy of repurposed drugs lopinavir-ritonavir and darunavir-ritonavir in hospitalised COVID-19 patients: insights from a tertiary centre cohort</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Par&#xf3;czai</surname>
<given-names>D&#xf3;ra</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Bikov</surname>
<given-names>Andr&#xe1;s</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Blidaru</surname>
<given-names>Andreea</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<contrib contrib-type="author">
<name>
<surname>Bobu</surname>
<given-names>Emanuel</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lascu</surname>
<given-names>Ana</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Mot</surname>
<given-names>Cristian Ion</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Mihaicuta</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Frent</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Medical Microbiology, University of Szeged</institution>, <addr-line>Szeged</addr-line>, <country>Hungary</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Albert Szent-Gy&#xf6;rgyi Health Center, Pulmonology Clinic, University of Szeged</institution>, <addr-line>Deszk</addr-line>, <country>Hungary</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>North West Lung Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Division of Immunology, Immunity to Infection and Respiratory Medicine, University of Manchester</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Infectious Diseases, Infectious Diseases and Pulmonology Clinical Hospital</institution>, <addr-line>Timisoara</addr-line>, <country>Romania</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Pulmonology, University of Medicine and Pharmacy Timisoara</institution>, <addr-line>Timisoara</addr-line>, <country>Romania</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Functional Sciences, Discipline of Pathophysiology, Centre for Translational Research and Systems Medicine, University of Medicine and Pharmacy Timisoara</institution>, <addr-line>Timisoara</addr-line>, <country>Romania</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Institute for Cardiovascular Diseases of Timisoara, Clinic for Cardiovascular Surgery</institution>, <addr-line>Timisoara</addr-line>, <country>Romania</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>ENT Department, Municipal Emergency Hospital Timisoara</institution>, <addr-line>Timisoara</addr-line>, <country>Romania</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Department of Surgery, University of Medicine and Pharmacy Timisoara</institution>, <addr-line>Timisoara</addr-line>, <country>Romania</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>Centre for Research and Innovation in Precision Medicine of Respiratory Diseases, Department of Pulmonology, University of Medicine and Pharmacy Timisoara</institution>, <addr-line>Timisoara</addr-line>, <country>Romania</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Ariadna Petronela Fildan, Ovidius University, Romania</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: German Gornalusse, University of Washington, United States</p>
<p>Michael Z. Zulu, University of Cape Town, South Africa</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ana Lascu, <email xlink:href="mailto:lascu.ana@umft.ro">lascu.ana@umft.ro</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1496176</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Par&#xf3;czai, Bikov, Blidaru, Bobu, Lascu, Mot, Mihaicuta and Frent</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Par&#xf3;czai, Bikov, Blidaru, Bobu, Lascu, Mot, Mihaicuta and Frent</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Drug repurposing has become a widely adopted strategy to minimise research time, costs, and associated risks. Combinations of protease inhibitors such as lopinavir and darunavir with ritonavir have been repurposed as treatments for COVID-19. Although lopinavir-ritonavir (LPV/r) and darunavir-ritonavir (DRV/r) have shown <italic>in vitro</italic> efficacy against COVID-19, the results in human studies have been inconsistent. Therefore, our objective was to compare the efficacy of LPV/r and DRV/r in COVID-19 patients admitted to a tertiary centre in Romania.</p>
</sec>
<sec>
<title>Research design and methods</title>
<p>A clinical dataset from 417 hospitalised patients was analysed. Patients were assigned to the LPV/r, DRV/r, or control (standard-of-care) group based on clinical decisions made by the attending infectious disease specialists, aligned with national treatment protocols. Kaplan-Meier and Cox proportional hazards regression analyses were conducted to compare in-hospital mortality and to identify factors associated with clinical improvement or fatal outcomes.</p>
</sec>
<sec>
<title>Results</title>
<p>By day 10, more patients showed improvement with LPV/r and DRV/r (p=0.03 and 0.01, respectively), but only LPV/r was associated with improved survival compared to the control group (p=0.05). Factors associated with mortality included male gender (HR: 3.63, p=0.02), diabetes (HR: 2.49, p=0.03), oxygen saturation below 90% at admission (HR: 5.23, p&lt;0.01), high blood glucose levels (HR: 3.68, p=0.01), age (HR: 1.04, p=0.02), and more than 25% lesion extension on chest CT scan (HR: 2.28, p=0.03).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>LPV/r, but not DRV/r, showed a survival benefit in patients hospitalised with COVID-19, but these findings deserve further investigation in a randomised clinical trial.</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>darunavir</kwd>
<kwd>lopinavir</kwd>
<kwd>propensity score matching</kwd>
<kwd>ritonavir</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="43"/>
<page-count count="11"/>
<word-count count="5958"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Clinical Microbiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in late 2019 (<xref ref-type="bibr" rid="B19">Kumar et&#xa0;al., 2021</xref>) and evolved into a global health crisis within the first few months of 2020 (<xref ref-type="bibr" rid="B25">Mallah et&#xa0;al., 2021</xref>). Despite extensive research, the effectiveness of some proposed treatments for COVID-19 remains uncertain. The pandemic affected over 650 million individuals worldwide, resulting in more than 6 million deaths. The burden on healthcare systems, as well as the lack of efficient medications, prompted drug regulators, including agencies such as The Food and Drug Administration (FDA), to authorise the use of repurposed drugs and off-label medications (<xref ref-type="bibr" rid="B37">Singh et&#xa0;al., 2020</xref>). Humans across the globe are regularly infected with endemic coronaviruses, which typically result in respiratory illnesses with mild symptoms (<xref ref-type="bibr" rid="B21">Li et&#xa0;al., 2005</xref>). These viruses have not been deemed a significant public health threat, and thus the development of specific antiviral treatments or preventive vaccines was not prioritised. Consequently, when SARS-CoV-2 appeared, no specific antiviral treatments for coronavirus diseases, including COVID-19, were available. Traditional methods for discovering new antiviral compounds and developing new therapeutic options are lengthy and complex, often taking several years. In this scenario, drug repurposing has emerged as a promising and potentially valuable strategy for identifying already approved drugs for the treatment of other diseases, including COVID-19.</p>
<p>Drug repurposing offers a cost-effective and time-efficient alternative to developing new drugs. As a result, medications like remdesivir, favipiravir, umifenovir, lopinavir, ritonavir, and darunavir were utilised in clinical practice to treat COVID-19. Some of these drugs such as lopinavir, remdesivir and darunavir derivates demonstrated inhibitory effects on SARS-CoV-2 replication <italic>in vitro</italic> on cell cultures (<xref ref-type="bibr" rid="B6">Choy et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B38">Wang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B23">Ma et&#xa0;al., 2022</xref>). Protease inhibitors, originally developed to target aspartate protease in HIV treatment, have been among the most extensively studied repurposed drugs and were found to inhibit the 3C-like protease of SARS-CoV-2 (<xref ref-type="bibr" rid="B28">Nutho et&#xa0;al., 2020</xref>).</p>
<p>Both LPV/r and DRV/r target the viral protease necessary for SARS-CoV-2 replication. However, LPV/r primarily inhibits the 3CL-like protease, while DRV/r demonstrates activity at higher concentrations and was initially designed to target only the HIV-1 protease. An <italic>in vitro</italic> study clarified that darunavir derivates can also inhibit 3CL-like protease like LPV/r (<xref ref-type="bibr" rid="B23">Ma et&#xa0;al., 2022</xref>). However, they have distinct pharmacodynamic properties: their inhibitory action differs in affinity and efficacy for SARS-CoV-2 protease target, with LPV/r showing greater efficacy at clinically achievable concentrations (<xref ref-type="bibr" rid="B6">Choy et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Kang et&#xa0;al., 2020</xref>).</p>
<p>Moreover, protease inhibitors showed <italic>in vitro</italic> efficacy against coronaviruses causing severe acute respiratory syndrome (SARS) and Middle-East respiratory syndrome (MERS) (<xref ref-type="bibr" rid="B7">Chu et&#xa0;al., 2004</xref>). Studies conducted to evaluate the protease inhibitors combination of lopinavir-ritonavir with ribavirin reduced the mortality and viral load of SARS patients (<xref ref-type="bibr" rid="B7">Chu et&#xa0;al., 2004</xref>). Similarly, in MERS, lopinavir-ritonavir was effective both <italic>in vitro</italic> and in animal models, decreasing the viral load and improving clinical and radiological outcomes (<xref ref-type="bibr" rid="B10">de Wilde et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B5">Chan et&#xa0;al., 2015</xref>). Although the clinical impact of lopinavir-ritonavir in SARS or MERS was scarce, <italic>in vitro</italic> and animal studies revealed the potential inhibitory effect on SARS-CoV-2. Based on the structural similarities of the coronaviruses, lopinavir and ritonavir showed favourable inhibitory action on the replication of SARS-CoV-2 <italic>in vitro</italic> (<xref ref-type="bibr" rid="B6">Choy et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Kang et&#xa0;al., 2020</xref>). Another protease inhibitor, darunavir-cobicistat was also found to have <italic>in vitro</italic> inhibitory effect on SARS-CoV-2, but only at higher concentrations (<xref ref-type="bibr" rid="B41">Yamamoto et&#xa0;al., 2020</xref>). The initiation of lopinavir-ritonavir and darunavir-cobicistat into COVID-19 treatments was based on the previous experience in SARS and MERS, however, in the last two years several clinical trials were conducted in SARS-CoV-2 infection and most showed no significant improvement in mortality, viral load, hospital stay or the need for ventilation support. Of note, the design of some of these clinical trials raised several bias concerns in terms of patient enrolment and sample size, the start of anti-viral therapy after disease onset, underpowered statistics and the lack of control group (<xref ref-type="bibr" rid="B3">Cao et&#xa0;al., 2020b</xref>; <xref ref-type="bibr" rid="B31">Patel et&#xa0;al., 2021</xref>). Lopinavir-ritonavir was abandoned as a therapeutic option based on these studies with few concerns, including the trial conducted by Cao et&#xa0;al., which failed to demonstrate a significant benefit of lopinavir-ritonavir in decreasing mortality rates (<xref ref-type="bibr" rid="B2">Cao et&#xa0;al., 2020a</xref>; <xref ref-type="bibr" rid="B30">Owa and Owa, 2020</xref>). However, patients receiving lopinavir-ritonavir showed lower 28-day mortality rates and had a shorter intensive care unit (ICU) stay with a median of 6 days, compared to 11 days in the standard of care group. Data of this trial were reanalysed and a 73% a posteriori probability of clinical improvement in case of the protease inhibitors was found (<xref ref-type="bibr" rid="B4">Carmona-Bayonas et&#xa0;al., 2020</xref>). Along with this observation, a report by Lim et&#xa0;al. confirmed the beneficial clinical effects of lopinavir-ritonavir (<xref ref-type="bibr" rid="B22">Lim et&#xa0;al., 2020</xref>).</p>
<p>To our knowledge, data is lacking on the efficacy of lopinavir-ritonavir compared to the standard of care and to an additional protease inhibitor alternative, darunavir-ritonavir combination. Thus, we conducted a retrospective study to assess the differences between various protease inhibitors on comparable patient groups, from a Romanian cohort of patients hospitalised for COVID-19.</p>
</sec>
<sec id="s2">
<title>Patients and methods</title>
<sec id="s2_1">
<title>Study design</title>
<p>We conducted a retrospective, single-site, tertiary care center-based, observational study to compare several clinical outcomes in patients taking lopinavir-ritonavir (Kaletra, 200 mg/50 mg, 1 tablet orally twice daily) or darunavir/ritonavir (800 mg darunavir/100 mg ritonavir 1 tablet once daily). We included consecutive patients hospitalised for COVID-19 in the Pulmonology and Infectious Diseases departments of our hospital, between July and October 2020. Concomitantly hospitalised COVID-19 patients, who received standard of care only including antibiotics, anticoagulants, dexamethasone and oxygen therapy via nasal cannula or oxygen mask, served as our controls. Patients were assigned to receive lopinavir/ritonavir, darunavir/ritonavir or standard of care only based on the infectious diseases&#x2019; specialist advice concordant with a national treatment protocol, and the treatment duration with the protease inhibitors was 7 - 14 days. Of note, the antiviral treatment in eligible patients was started on or the next day of hospital admission. The research project was approved by the hospital&#x2019;s Ethics Committee on 16<sup>th</sup> of November 2020, on the condition of respect for the confidentiality of personal data and compliance with all applicable data protection laws and regulations. Given the retrospective design of data collection, there was no request from the Ethics Committee to obtain informed consent from the subjects included in the study. The research was conducted in accordance with the principles of the Declaration of Helsinki and its later amendments.</p>
</sec>
<sec id="s2_2">
<title>Study population and data collection</title>
<p>We collected data from a cohort compromising 824 hospitalised COVID-19 patients, with confirmed SARS-CoV-2 infection. Male and non-pregnant female patients older than 18 years were eligible if they needed hospitalisation, had a positive quantitative real-time polymerase chain reaction (RT-PCR) for SARS-CoV-2 infection, suggestive symptomatology and chest imaging. Exclusion criteria included pregnancy, prior use of protease inhibitors, necessity of invasive ventilation before considering antivirals, history of known cardiac arrhythmias, known drug allergy, a history of severe liver conditions such as cirrhosis and/or elevated alanine aminotransferase or aspartate aminotransferase level, and inability to swallow the medications.</p>
<p>The diagnosis of COVID-19 was confirmed by the detection of SARS-CoV-2 nucleocapsid genes with Exicycler&#x2122; 96 &#x2013; Bioneer (Korea) RT-PCR system. We collected medical data, including demographics, laboratory tests results, chest CT scan reports, symptomatology, current medication use and comorbidities. Data were obtained from the hospital available documents (i.e., patients&#x2019; files, discharge letters, electronic database) as recorded by the treating physicians and were assessed for accuracy by the investigators. As a standard of care, all COVID-19 hospitalised patients underwent a chest CT scan upon admission, which was interpreted by experienced radiologists. The extension of lung lesions was graded as mild (&lt;25%), moderate (25-50%) or severe (&gt;50%).</p>
</sec>
<sec id="s2_3">
<title>Statistical analysis</title>
<p>Propensity score matching based on age, gender, oxygen use, steroid therapy and chest computed tomography (CT) imaging was used to divide the source population consisting of 824 patients. As 139 patients received LPV/r combination, all three groups (LPV/r, DRV/r, and control) comprised in the end the same number of patients.</p>
<p>Baseline characteristics were expressed as average &#xb1; standard deviation (SD) or proportions. The time to death or clinical improvement were assessed by Kaplan-Meier plot using log-rank test. In order to assess the relationship between mortality and drug administration, we used the Cox proportional hazard model and hazard ratios were shown with 95% CIs. All p&lt;0.05 values were considered significant, adjusted p values were calculated with the Bonferroni method. We performed sensitivity analyses in pre-defined subgroups [male gender, age&gt;50 years, &gt;25% lesions on chest CT, presence of obesity, arterial hypertension or diabetes, high blood glucose level, low SaO2, high C- reactive protein (CRP) level, and the use of oxygen, dexamethasone and low molecular weight heparin (LMWH)]. Statistics were performed with R version 4.2.2 (R Project for Statistical Computing) and the Graphpad Prism 8.0.1 software.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patient characteristics</title>
<p>The flowchart for patient selection is summarised on <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart for the patient selection pathway with propensity score matching method. A population of 824 patients was assigned using propensity score matching based on age, sex, oxygen use, steroid therapy, and chest CT imaging. 139 out of 824 patients received LPV/r combination, so the three groups (LPV/r, DRV/r, and control) comprised in the end the same number of patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1496176-g001.tif"/>
</fig>
<p>With respect to age, gender, and comorbidities, the three groups were generally balanced. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> summarised the pre-treatment demographic and clinical characteristics. Patients in the LPV/r showed less 25-50% lesion extension on chest CT, compared to DRV/r group (p&lt;0.05) and fewer patients had obesity or diabetes, compared to the control and DRV/r group. In both treatment arms gastrointestinal symptoms, headache and myalgia were the most common symptoms and occurred more frequently than in the control group (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>General characteristics of COVID-19 patients, assigned to lopinavir/ritonavir (LPV/r), darunavir/ritonavir (DRV/r) use or standard care.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Control<break/>N=139</th>
<th valign="top" align="left">LPV/r<break/>N=139</th>
<th valign="top" align="left">Unadjusted<break/>P value</th>
<th valign="top" align="left">Adjusted P value</th>
<th valign="top" align="left">DRV/r<break/>N=139</th>
<th valign="top" align="left">Unadjusted<break/>P value</th>
<th valign="top" align="left">Adjusted<break/>P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (mean, SD)</td>
<td valign="top" align="left">50.5 &#xb1; 16.9</td>
<td valign="top" align="left">50.2 &#xb1; 15.3</td>
<td valign="top" align="left">0.98</td>
<td valign="top" align="left">ns</td>
<td valign="top" align="left">52.5 &#xb1; 5.8</td>
<td valign="top" align="left">0.45</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">Male sex<break/>No (%)</td>
<td valign="top" align="left">75 (54%)</td>
<td valign="top" align="left">62 (45%)</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">ns</td>
<td valign="top" align="left">72 (52%)</td>
<td valign="top" align="left">0.36</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">Smoking history</td>
<td valign="top" align="left">14 (10.1%)</td>
<td valign="top" align="left">21 (15.8%)</td>
<td valign="top" align="left">0.1</td>
<td valign="top" align="left">ns</td>
<td valign="top" align="left">31 (22.3%)</td>
<td valign="top" align="left">0.44</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<th valign="top" colspan="8" align="left">Disease severity on chest CT No (%)</th>
</tr>
<tr>
<td valign="top" align="left">
<italic>Grade &lt;25%</italic>
</td>
<td valign="top" align="left">101 (73%)</td>
<td valign="top" align="left">95 (68%)</td>
<td valign="top" align="left">0.18</td>
<td valign="top" align="left">ns</td>
<td valign="top" align="left">69 (49%)</td>
<td valign="top" align="left">&lt;0.01</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>Grade 25-50%</italic>
</td>
<td valign="top" align="left">29 (21%)</td>
<td valign="top" align="left">37 (26%)</td>
<td valign="top" align="left">0.16</td>
<td valign="top" align="left"/>
<td valign="top" align="left">62 (45%)</td>
<td valign="top" align="left">&lt;0.01</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>Grade &gt;50%</italic>
</td>
<td valign="top" align="left">9 (6%)</td>
<td valign="top" align="left">7 (5%)</td>
<td valign="top" align="left">0.35</td>
<td valign="top" align="left"/>
<td valign="top" align="left">8 (5.7%)</td>
<td valign="top" align="left">0.45</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Hospital-onset COVID-19</td>
<td valign="top" align="left">4 (2.9%)</td>
<td valign="top" align="left">8 (5.8%)</td>
<td valign="top" align="left">0.11</td>
<td valign="top" align="left">ns</td>
<td valign="top" align="left">2 (1.5%)</td>
<td valign="top" align="left">0.2</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<th valign="top" colspan="8" align="left">Coexisting conditions No (%)</th>
</tr>
<tr>
<td valign="top" align="left">
<italic>Diabetes</italic>
</td>
<td valign="top" align="left">30 (21.6%)</td>
<td valign="top" align="left">15 (10.8%)</td>
<td valign="top" align="left">0.007</td>
<td valign="top" align="left">ns</td>
<td valign="top" align="left">31 (22.3%)</td>
<td valign="top" align="left">0.44</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Arterial hypertension</italic>
</td>
<td valign="top" align="left">50 (35.6%)</td>
<td valign="top" align="left">52 (37.4%)</td>
<td valign="top" align="left">0.4</td>
<td valign="top" align="left">ns</td>
<td valign="top" align="left">62 (44.6%)</td>
<td valign="top" align="left">0.07</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Chronic kidney disease</italic>
</td>
<td valign="top" align="left">5 (3.6%)</td>
<td valign="top" align="left">1 (0.7%)</td>
<td valign="top" align="left">0.05</td>
<td valign="top" align="left">ns</td>
<td valign="top" align="left">6 (4.3%)</td>
<td valign="top" align="left">0.38</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Obesity</italic>
</td>
<td valign="top" align="left">35 (25.2%)</td>
<td valign="top" align="left">18 (13%)</td>
<td valign="top" align="left">0.004</td>
<td valign="top" align="left">0.116</td>
<td valign="top" align="left">67 (48.2%)</td>
<td valign="top" align="left">&lt;0.001</td>
<td valign="top" align="left">0.01</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Asthma</italic>
</td>
<td valign="top" align="left">4 (2.8%)</td>
<td valign="top" align="left">8 (5.7%)</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.99</td>
<td valign="top" align="left">13 (9.5%)</td>
<td valign="top" align="left">0.01</td>
<td valign="top" align="left">0.39</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Other cardiovascular comorbidities</italic>
</td>
<td valign="top" align="left">20 (14.4%)</td>
<td valign="top" align="left">16 (11.5%)</td>
<td valign="top" align="left">0.23</td>
<td valign="top" align="left">ns</td>
<td valign="top" align="left">21 (15.1%)</td>
<td valign="top" align="left">0.43</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Other pulmonary conditions</italic>
</td>
<td valign="top" align="left">6 (4.3%)</td>
<td valign="top" align="left">8 (5.7%)</td>
<td valign="top" align="left">0.29</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">11 (7.9%)</td>
<td valign="top" align="left">0.1</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Neurological disorders</italic>
</td>
<td valign="top" align="left">3 (2.1%)</td>
<td valign="top" align="left">8 (5.7%)</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">10 (7.2%)</td>
<td valign="top" align="left">0.02</td>
<td valign="top" align="left">0.78</td>
</tr>
<tr>
<th valign="top" colspan="8" align="left">Symptoms</th>
</tr>
<tr>
<td valign="top" align="left">
<italic>Asymptomatic</italic>
</td>
<td valign="top" align="left">18 (13%)</td>
<td valign="top" align="left">4 (2.8%)</td>
<td valign="top" align="left">0.001</td>
<td valign="top" align="left">0.029</td>
<td valign="top" align="left">6 (4.31%)</td>
<td valign="top" align="left">0.005</td>
<td valign="top" align="left">0.19</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Asthenia</italic>
</td>
<td valign="top" align="left">47 (33.8%)</td>
<td valign="top" align="left">53 (38.1%)</td>
<td valign="top" align="left">0.22</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">54 (38.8%)</td>
<td valign="top" align="left">0.19</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Fever</italic>
</td>
<td valign="top" align="left">55 (39.5%)</td>
<td valign="top" align="left">67 (48.2%)</td>
<td valign="top" align="left">0.07</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">84 (60.4%)</td>
<td valign="top" align="left">&lt;0.001</td>
<td valign="top" align="left">0.01</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Sweats</italic>
</td>
<td valign="top" align="left">10 (7.2%)</td>
<td valign="top" align="left">24 (17.3%)</td>
<td valign="top" align="left">0.005</td>
<td valign="top" align="left">0.145</td>
<td valign="top" align="left">15 (10.8%)</td>
<td valign="top" align="left">0.14</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Fatigue</italic>
</td>
<td valign="top" align="left">69 (49.6%)</td>
<td valign="top" align="left">73 (52.5%)</td>
<td valign="top" align="left">0.31</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">63 (45.3%)</td>
<td valign="top" align="left">0.23</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Dyspnea</italic>
</td>
<td valign="top" align="left">35 (25.1%)</td>
<td valign="top" align="left">27 (19.4%)</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">55 (39.5%)</td>
<td valign="top" align="left">0.005</td>
<td valign="top" align="left">0.19</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Dry cough</italic>
</td>
<td valign="top" align="left">66 (47.5%)</td>
<td valign="top" align="left">77 (55.4%)</td>
<td valign="top" align="left">0.09</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">86 (61.8%)</td>
<td valign="top" align="left">0.008</td>
<td valign="top" align="left">0.31</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Productive cough</italic>
</td>
<td valign="top" align="left">9 (6.5%)</td>
<td valign="top" align="left">16 (11.5%)</td>
<td valign="top" align="left">0.07</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">17 (12.2%)</td>
<td valign="top" align="left">0.05</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Chills</italic>
</td>
<td valign="top" align="left">17 (12.2%)</td>
<td valign="top" align="left">31 (22.3%)</td>
<td valign="top" align="left">0.01</td>
<td valign="top" align="left">0.3</td>
<td valign="top" align="left">43 (30.9%)</td>
<td valign="top" align="left">&lt;0.001</td>
<td valign="top" align="left">0.003</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Headache</italic>
</td>
<td valign="top" align="left">33 (23.7%)</td>
<td valign="top" align="left">57 (41%)</td>
<td valign="top" align="left">0.001</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">50 (35.9%)</td>
<td valign="top" align="left">0.01</td>
<td valign="top" align="left">0.39</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Diarrhoea</italic>
</td>
<td valign="top" align="left">10 (7.2%)</td>
<td valign="top" align="left">16 (11.5%)</td>
<td valign="top" align="left">0.1</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">24 (17.3%)</td>
<td valign="top" align="left">0.005</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Nausea</italic>
</td>
<td valign="top" align="left">7 (5%)</td>
<td valign="top" align="left">19 (13.7%)</td>
<td valign="top" align="left">0.007</td>
<td valign="top" align="left">0.2</td>
<td valign="top" align="left">22 (15.8%)</td>
<td valign="top" align="left">0.001</td>
<td valign="top" align="left">0.04</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Vomiting</italic>
</td>
<td valign="top" align="left">7 (5%)</td>
<td valign="top" align="left">12 (8.6%)</td>
<td valign="top" align="left">0.11</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">18 (12.9%)</td>
<td valign="top" align="left">0.01</td>
<td valign="top" align="left">0.4</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Altered general condition</italic>
</td>
<td valign="top" align="left">73 (52.5%)</td>
<td valign="top" align="left">73 (52.5%)</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">108 (77.7%)</td>
<td valign="top" align="left">&lt;0.001</td>
<td valign="top" align="left">0.003</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Loss of appetite</italic>
</td>
<td valign="top" align="left">15 (10.8%)</td>
<td valign="top" align="left">29 (20.1%)</td>
<td valign="top" align="left">0.01</td>
<td valign="top" align="left">0.29</td>
<td valign="top" align="left">9 (6.5%)</td>
<td valign="top" align="left">0.1</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Ageusia</italic>
</td>
<td valign="top" align="left">15 (10.8%)</td>
<td valign="top" align="left">13 (9.3%)</td>
<td valign="top" align="left">0.34</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">24 (17.3%)</td>
<td valign="top" align="left">0.06</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Dysphagia</italic>
</td>
<td valign="top" align="left">19 (13.7%)</td>
<td valign="top" align="left">27 (19.4%)</td>
<td valign="top" align="left">0.09</td>
<td valign="top" align="left">Ns</td>
<td valign="top" align="left">26 (18.7%)</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Myalgia</italic>
</td>
<td valign="top" align="left">23 (16.5%)</td>
<td valign="top" align="left">35 (25.2%)</td>
<td valign="top" align="left">0.03</td>
<td valign="top" align="left">0.87</td>
<td valign="top" align="left">56 (40.3%)</td>
<td valign="top" align="left">&lt;0.001</td>
<td valign="top" align="left">0.004</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are expressed as number (percentage).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> shows the main clinical characteristics at admission and discharge including vital parameters, laboratory tests results and adjuvant therapies. Heart rate, blood pressure, body temperature and SaO2 did not show significant differences between the groups both at admission and at discharge. Although more patients had known diabetes in the DRV/r group, the LPV/r and control group had comparable glycaemia at admission. In both antiviral groups, dexamethasone and LMWH were more frequently administered, and patients receiving DRV/r more commonly needed oxygen supplementation (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Patient status and treatments administered at the time of enrolment and discharge.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">LPV/r</th>
<th valign="top" align="center">p (vs. control)</th>
<th valign="top" align="center">DRV/r</th>
<th valign="top" align="center">p (vs. control)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">SaO2 (admission)</td>
<td valign="top" align="center">95.2 &#xb1; 4.4</td>
<td valign="top" align="center">95 &#xb1; 5.7</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">94.6 &#xb1; 3.4</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Low SaO2 at admission (&lt;90%)</td>
<td valign="top" align="center">12 (8.6%)</td>
<td valign="top" align="center">13 (9.4%)</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">20 (14%)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">SaO2 (discharge)</td>
<td valign="top" align="center">95.4 &#xb1; 6.2</td>
<td valign="top" align="center">95.7 &#xb1; 5.7</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">94.8 &#xb1; 6.3</td>
<td valign="top" align="center">0.81</td>
</tr>
<tr>
<td valign="top" align="left">Blood pressure admission (systole, mmHg)</td>
<td valign="top" align="center">129.31 &#xb1; 18.79</td>
<td valign="top" align="center">128.48 &#xb1; 17.52</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">130.82 &#xb1; 19.54</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left">Blood pressure admission (diastole, mmHg)</td>
<td valign="top" align="center">80.34 &#xb1; 12.35</td>
<td valign="top" align="center">80.52 &#xb1; 10.23</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">82.76 &#xb1; 12.47</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">Heart rate admission</td>
<td valign="top" align="center">84.86 &#xb1; 14.13</td>
<td valign="top" align="center">85.06 &#xb1; 14.55</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">87.46 &#xb1; 15.54</td>
<td valign="top" align="center">0.31</td>
</tr>
<tr>
<td valign="top" align="left">Body temperature admission (&#xb0;C)</td>
<td valign="top" align="center">36.21 &#xb1; 2.85</td>
<td valign="top" align="center">36.57 &#xb1; 0.71</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">36.51 &#xb1; 0.65</td>
<td valign="top" align="center">0.33</td>
</tr>
<tr>
<td valign="top" align="left">Blood pressure discharge (systole, mmHg)</td>
<td valign="top" align="center">124.63 &#xb1; 15.63</td>
<td valign="top" align="center">125.43 &#xb1; 16.13</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">126.39 &#xb1; 18.79</td>
<td valign="top" align="center">0.66</td>
</tr>
<tr>
<td valign="top" align="left">Blood pressure discharge(diastole, mmHg)</td>
<td valign="top" align="center">78.58 &#xb1; 11.0</td>
<td valign="top" align="center">78.51 &#xb1; 10.56</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">80.01 &#xb1; 12.22</td>
<td valign="top" align="center">0.54</td>
</tr>
<tr>
<td valign="top" align="left">Heart rate discharge</td>
<td valign="top" align="center">79.52 &#xb1; 12.32</td>
<td valign="top" align="center">81.32 &#xb1; 13.78</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">80.67 &#xb1; 14.60</td>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left">Body temperature discharge (&#xb0;C)</td>
<td valign="top" align="center">36.32 &#xb1; 0.46</td>
<td valign="top" align="center">36.27 &#xb1; 0.46</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">36.31 &#xb1; 0.36</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Na (mmol/l)</td>
<td valign="top" align="center">135.88 &#xb1; 3.95</td>
<td valign="top" align="center">136.98 &#xb1; 3.07</td>
<td valign="top" align="center">0.047</td>
<td valign="top" align="center">136.68 &#xb1; 4.16</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left">K (mmol/l)</td>
<td valign="top" align="center">4.26 &#xb1; 0.63</td>
<td valign="top" align="center">4.12 &#xb1; 0.51</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">4.34 &#xb1; 0.65</td>
<td valign="top" align="center">0.71</td>
</tr>
<tr>
<td valign="top" align="left">CRP (mg/ml)</td>
<td valign="top" align="center">39.3 &#xb1; 59.2</td>
<td valign="top" align="center">37.5 &#xb1; 58.5</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="center">63.7 &#xb1; 88.6</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="left">Glycaemia (admission)</td>
<td valign="top" align="center">136.9 &#xb1; 79.8</td>
<td valign="top" align="center">136.7 &#xb1; 73.6</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">145.9 &#xb1; 73</td>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">Impaired glucose &gt;110 mg/dl</td>
<td valign="top" align="center">54 (39%)</td>
<td valign="top" align="center">67 (48%)</td>
<td valign="top" align="center">0.065</td>
<td valign="top" align="center">87 (62.6%)</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="left">High glucose &gt;125 mg/dl</td>
<td valign="top" align="center">41 (29.5%)</td>
<td valign="top" align="center">48 (34.5%)</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">87 (62.6%)</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="left">Fibrinogen</td>
<td valign="top" align="center">4.43 &#xb1; 1.48</td>
<td valign="top" align="center">4.52 &#xb1; 1.78</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">5.07 &#xb1; 4.2</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left">GOT (U/ml)</td>
<td valign="top" align="center">27.98 &#xb1; 19.89</td>
<td valign="top" align="center">40.50 &#xb1; 71.31</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">59.61 &#xb1; 238.26</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">GPT (U/ml)</td>
<td valign="top" align="center">35.88 &#xb1; 36.65</td>
<td valign="top" align="center">68.84 &#xb1; 192.92</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">54.74 &#xb1; 66.17</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">Oxygen therapy</td>
<td valign="top" align="center">33 (23.7%)</td>
<td valign="top" align="center">30 (21.6%)</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">74 (53.2%)</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="left">Ceftriaxone</td>
<td valign="top" align="center">34 (24.5)</td>
<td valign="top" align="center">24 (17.3%)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">55 (39.6%)</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="left">Azithromycin</td>
<td valign="top" align="center">56 (40.3%)</td>
<td valign="top" align="center">58 (41.7%)</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">68 (48.9%)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">Dexamethasone</td>
<td valign="top" align="center">58 (41.7%)</td>
<td valign="top" align="center">59 (42.4%)</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">116 (83.4%)</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="left">LMWH</td>
<td valign="top" align="center">84 (60.4%)</td>
<td valign="top" align="center">110 (79.1%)</td>
<td valign="top" align="center">&lt;0.01</td>
<td valign="top" align="center">136 (97.8%)</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are expressed as number (percentage) or mean&#xb1; standard deviation (SD). CRP, C-reactive protein; GOT, glutamate oxaloacetate transaminase; GPT, glutamate pyruvate transaminase; LMWH, Low molecular weight heparin; SaO2, arterial oxygen saturation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Outcomes</title>
<p>Although the mean duration of hospitalisation and the time to clinical improvement were significantly higher in both treated groups compared to controls (p&lt;0.01), in-hospital mortality rate was decreased by lopinavir/ritonavir compared to the control and darunavir/ritonavir groups. As compared to the control group, univariable hazard ratios for death were 0.39 (95% CI 0.19-0.99) and 1.49 (95% CI 0.71-3.12) for LPV/r and for DRV/r, respectively (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Mortality data of study population by treatment allocation.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">Control<break/>N=139</th>
<th valign="top" align="center">LPV/r<break/>N=139</th>
<th valign="top" align="center">Difference</th>
<th valign="top" align="center">Adj.p (vs. control)</th>
<th valign="top" align="center">DRV/r<break/>N=139</th>
<th valign="top" align="center">Difference</th>
<th valign="top" align="center">Adj.p (vs. control)</th>
<th valign="top" align="center">LPV/r<break/>vs. DRV/r<break/>difference</th>
<th valign="top" align="center">Adj.p<break/>LPV/r vs. DRV/r</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Days spent in hospital</td>
<td valign="top" align="left">8.09 &#xb1; 6.0</td>
<td valign="top" align="left">10.63 &#xb1; 5.5</td>
<td valign="top" align="left">-2.54 (-4.24 to -0.83)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">12.83 &#xb1; 6.4</td>
<td valign="top" align="center">-4.73(-6.42 to -3.044)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">-2.193 (-3.89 to -0.48)</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Time to clinical improvement<break/>(average days &#xb1; SD)</td>
<td valign="top" align="center">7.9 &#xb1; 5.9</td>
<td valign="top" align="center">10.6 &#xb1; 5.4</td>
<td valign="top" align="center">-2.69 (-4.41 to -0.97)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">11 &#xb1; 6.3</td>
<td valign="top" align="center">-3.13 (-4.87 to -1.37)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">-0.43 (-2.16 to 1.30)</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="left">In-hospital mortality</td>
<td valign="top" align="center">10 (7.2%)</td>
<td valign="top" align="center">5 (3.6%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">14 (10%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">Time to death</td>
<td valign="top" align="center">10.1 &#xb1; 6.7</td>
<td valign="top" align="center">13.8 &#xb1; 8.4</td>
<td valign="top" align="center">-3.7 (-13.68 to 6.27</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">13.4 &#xb1; 7.1</td>
<td valign="top" align="center">-3.32 (-10.87 to 4.21)</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.37 (-9.11 to 9.8)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Univariate analysis (HR, 95% CI)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.39 (0.19-0.99)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">1.49 (0.71-3.12)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data is expressed as mean &#xb1; SD. CI, confidence interval; HR, hazard ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Several confounding factors may have contributed due to the retrospective nature of the study, thus the Cox proportional hazards model was adjusted for significant and clinically relevant baseline variables. These factors include comorbidities, oxygen saturation, high glucose levels and radiological abnormalities. In this multivariate analysis, the association with decreased mortality rates in LPV/r group remained significant (HR=0.25, 95% CI 0.09-0.66), while the administration of DRV/r was associated with higher risk for mortality (HR=2.60, 95% CI 1.37-4.92) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Hazard ratios for the risk factor of death in the study population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">CI 95%</th>
<th valign="top" align="center">p value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">1.00-1.07</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">Male sex</td>
<td valign="top" align="center">3.63</td>
<td valign="top" align="center">1.23-10.68</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">LPV/r</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.09-0.66</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="left">DRV/r</td>
<td valign="top" align="center">2.60</td>
<td valign="top" align="center">1.37-4.92</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="left">Obesity</td>
<td valign="top" align="center">1.49</td>
<td valign="top" align="center">0.65-3.43</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">2.49</td>
<td valign="top" align="center">1.05-5.58</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Low SaO2 (&lt;90%)</td>
<td valign="top" align="center">5.23</td>
<td valign="top" align="center">2.45-11.17</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">High glucose &gt;125 mg/dl</td>
<td valign="top" align="center">3.68</td>
<td valign="top" align="center">1.23-10.91</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Grade1 lesion (&lt;25%)</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.02-0.53</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Grade3 lesion (&gt;50%)</td>
<td valign="top" align="center">2.67</td>
<td valign="top" align="center">1.12-6.39</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Dexamethasone</td>
<td valign="top" align="center">1.69</td>
<td valign="top" align="center">0.55-5.18</td>
<td valign="top" align="center">0.36</td>
</tr>
<tr>
<td valign="top" align="left">Oxygen therapy</td>
<td valign="top" align="center">1.37</td>
<td valign="top" align="center">0.57-3.31</td>
<td valign="top" align="center">0.47</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Cox proportional hazard model was used to determine the relationship of clinical factors and in-hospital mortality in the treated and control groups (n=417). Hazard ratios are shown with 95% CIs. All COVID-19 hospitalised patients underwent a chest CT scan and the extension of lung lesions was graded as mild (&lt;25%, Grade 1), moderate (25-50%, Grade 2) or severe (&gt;50%, Grade 3).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Kaplan-Meier analysis on antiviral treatment which was used to compare survival curves using the log-rank test, revealed that unlike DRV/r, LPV/r was associated with higher probability of survival (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Interestingly, clinically improved alive patients showed significant improvement at day 10 with both LPV/r and DRV/r, but not with standard care (p&lt; 0.05, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Clinically improved patients were defined as those who were alive and demonstrated stabilised vital signs, improved oxygen saturation, better laboratory markers, and readiness for discharge.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> Survival curves according to LPV/r or DRV/r use. A Kaplan-Meier analysis was performed to evaluate in-hospital mortality. Significance was calculated by using log-rank test. <bold>(B)</bold> Patient improvement on LPV/r or DRV/r therapy. Patient improvement was expressed according to the days patients spent in hospital. At day 10 both the LPV/r and DRV/r treated patients showed significant improvement compared to control participants. n= number of patients, *<italic>p</italic>&lt;0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1496176-g002.tif"/>
</fig>
<p>In a subgroup analysis, LPV/r demonstrated improved survival in the group of patients with &gt;25% lesion extension on the chest CT scan, however, the presence of comorbidities such as arterial hypertension, diabetes and the need for oxygen therapy significantly decreased the benefits of LPV/r. (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Hazard ratios for mortality according to LPV/r and DRV/r use in different subgroups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" colspan="2" align="center">HR (95% CI)</th>
</tr>
<tr>
<th valign="top" align="left">Subgroups</th>
<th valign="top" align="left">LPV/r vs. control</th>
<th valign="top" align="left">DRV/r vs. control</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="3" align="left">Demographics</th>
</tr>
<tr>
<td valign="top" align="left">Men (N=209)</td>
<td valign="top" align="left">0.45 (0.15-1.35)</td>
<td valign="top" align="left">0.71 (0.50-1.01)</td>
</tr>
<tr>
<td valign="top" align="left">Age &gt;50 years<break/>(N=223)</td>
<td valign="top" align="left">0.54 (0.14-1.66)</td>
<td valign="top" align="left">0.78 (0.28-2.09)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Comorbidities</th>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Obesity</th>
</tr>
<tr>
<td valign="top" align="left">Yes (N=120)</td>
<td valign="top" align="left">0.55 (0.06-5.13)</td>
<td valign="top" align="left">0.89 (0.28-2.74)</td>
</tr>
<tr>
<td valign="top" align="left">No (N=297)</td>
<td valign="top" align="left">0.35 (0.09-1.35)</td>
<td valign="top" align="left">0.93 (0.28-3.07)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Diabetes</th>
</tr>
<tr>
<td valign="top" align="left">Yes (N=76)</td>
<td valign="top" align="left">0.93 (0.16-5.16)</td>
<td valign="top" align="left">2.10 (0.61-7.21)</td>
</tr>
<tr>
<td valign="top" align="left">No (N=341)</td>
<td valign="top" align="left">0.23 (0.06-0.96)<break/>p=0.044</td>
<td valign="top" align="left">0.61 (0.20-1.84)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Arterial hypertension</th>
</tr>
<tr>
<td valign="top" align="left">Yes (N=164)</td>
<td valign="top" align="left">1.02 (0.26-3.89)</td>
<td valign="top" align="left">1.30 (0.42-4.05)</td>
</tr>
<tr>
<td valign="top" align="left">No (N=253)</td>
<td valign="top" align="left">0.07 (0.0086-0.67)<break/>P= 0.021</td>
<td valign="top" align="left">0.56 (0.17-1.88)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Patient status</th>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Degree of COVID-19 severity on chest CT scan</th>
</tr>
<tr>
<td valign="top" align="left">Grade&lt;25% (N=265)</td>
<td valign="top" align="left">NA (1)</td>
<td valign="top" align="left">NA (2)</td>
</tr>
<tr>
<td valign="top" align="left">Grade&gt;25%<break/>(N=152)</td>
<td valign="top" align="left">0.35 (0.12-1.03)<break/>p=0.05</td>
<td valign="top" align="left">0.63 (0.27-1.48)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Impaired glucose metabolism (&gt;110 mg/dl)</th>
</tr>
<tr>
<td valign="top" align="left">Yes (N=208)</td>
<td valign="top" align="left">0.42 (0.12-1.51)</td>
<td valign="top" align="left">1.28 (0.48-3.39)</td>
</tr>
<tr>
<td valign="top" align="left">No (N=263)</td>
<td valign="top" align="left">0.18 (0.02-1.6)</td>
<td valign="top" align="left">NA (1)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Low SaO2 (&lt;90%)</th>
</tr>
<tr>
<td valign="top" align="left">Yes (N=45)</td>
<td valign="top" align="left">0.47 (0.11-1.97)</td>
<td valign="top" align="left">0.58 (0.16-2.02)</td>
</tr>
<tr>
<td valign="top" align="left">No (N=372)</td>
<td valign="top" align="left">0.29 (0.05-1.54)</td>
<td valign="top" align="left">1.49 (0.45-4.91)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">High CRP (10 mg/dl)</th>
</tr>
<tr>
<td valign="top" align="left">Yes (N=243)</td>
<td valign="top" align="left">0.29 (0.07-1.14)<break/>P=0.07</td>
<td valign="top" align="left">1.15 (0.44-2.80)</td>
</tr>
<tr>
<td valign="top" align="left">No (N=174)</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Therapies</th>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Use of oxygen</th>
</tr>
<tr>
<td valign="top" align="left">Yes (N=137)</td>
<td valign="top" align="left">0.65 (0.16-2.59)</td>
<td valign="top" align="left">1.14 (0.40-3.03)</td>
</tr>
<tr>
<td valign="top" align="left">No (N=280)</td>
<td valign="top" align="left">0.18 (0.03-1.12)<break/>p=0.05</td>
<td valign="top" align="left">0.62 (0.13-2.85)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Use of dexamethasone</th>
</tr>
<tr>
<td valign="top" align="left">Yes (N=228)</td>
<td valign="top" align="left">0.73 (0.22-2.39)</td>
<td valign="top" align="left">1.16 (0.44-3.04)</td>
</tr>
<tr>
<td valign="top" align="left">No (N=189)</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Use of LMWH</th>
</tr>
<tr>
<td valign="top" align="left">Yes (N=330)</td>
<td valign="top" align="left">0.61 (0.18-2.00)</td>
<td valign="top" align="left">1.41 (0.54-3.69)</td>
</tr>
<tr>
<td valign="top" align="left">No (N=87)</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>A subgroup analysis was conducted to reveal the main risk factors in mortality according to protease inhibitor use. Hazard ratios are shown with 95% CIs. Values showed NA (not applicable) meaning the inability to calculate values due to low number of patients. CRP, C-reactive protein; LMWH, Low molecular weight heparin; SaO2, arterial oxygen saturation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In this single centre, retrospective study we compared the efficacy of LPV/r and DRV/r combinations for the treatment of patients with COVID-19 during the second wave of pandemic. We found that the treatment with LPV/r was associated with better survival in hospitalised patients, but not with DRV/r. Comorbidities such as diabetes increased the risk of mortality in case of DRV/r but not with LPV/r. Lopinavir-ritonavir was particularly beneficial in patients with moderate-to-severe lesions on chest CT scan; however, arterial hypertension and the need for oxygen supplementation reduced its effectiveness.</p>
<p>Similarly to the HIV aspartic protease, the cysteine protease of SARS-CoV-2 was hypothesised to be a reasonable target of repurposed antiretroviral protease inhibitors (<xref ref-type="bibr" rid="B24">Magro et&#xa0;al., 2021</xref>). <italic>In vitro</italic> studies demonstrated the efficacy of lopinavir-ritonavir against SARS-CoV-2 and its ability to bind to SARS-CoV 3C-like protease, thus inhibiting viral replication (<xref ref-type="bibr" rid="B43">Zumla et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B6">Choy et&#xa0;al., 2020</xref>). Apart from lopinavir- ritonavir, another protease inhibitor combination darunavir-cobicistat was tested in silico and found to have theoretical affinity to 3C-like protease and potential inhibitory effect on viral replication (<xref ref-type="bibr" rid="B36">Sang et&#xa0;al., 2020</xref>). Later, an <italic>in vitro</italic> research demonstrated the lack of antiviral effects of darunavir on SARS-CoV-2 (<xref ref-type="bibr" rid="B9">De Meyer et&#xa0;al., 2020</xref>). In the early desperate times of the pandemic, protease inhibitors came into focus again after successful treatment of a patient with mild COVID-19 (<xref ref-type="bibr" rid="B22">Lim et&#xa0;al., 2020</xref>). Although lopinavir-ritonavir and hydroxychloroquine reduced organ support-free days and worsened the clinical outcomes among critically ill patients at an intensive care unit (<xref ref-type="bibr" rid="B1">Arabi et&#xa0;al., 2021</xref>), protease inhibitors remained still a potential option for hospitalised mild to severe COVID-19 patients. In a randomised, controlled, open-label trial by Cao et&#xa0;al., the authors suggested that lopinavir-ritonavir has no benefit in hospitalised patients compared to standard care (<xref ref-type="bibr" rid="B2">Cao et&#xa0;al., 2020a</xref>). Although the clinicians started to abandon lopinavir-ritonavir based on the results of this trial, several arguments should be taken into consideration: the trial was underpowered due to small sample size (N=199) and arguably, the treatment started at a median time of 13 days after symptom onset. Of note, the same trial reported several interesting findings with regard to the secondary outcomes suggesting lopinavir-ritonavir may be associated with reduced all-cause mortality (19% of patients in the lopinavir-ritonavir group vs. 25% of control group), decreased risk of severe adverse events (20% in lopinavir-ritonavir vs 32% of control group) and lower risk of severe respiratory failure (13% vs. 27%, respectively) (<xref ref-type="bibr" rid="B8">Dalerba et&#xa0;al., 2020</xref>). Another group reanalysed these data and found that lopinavir-ritonavir can contribute to clinical improvement (<xref ref-type="bibr" rid="B4">Carmona-Bayonas et&#xa0;al., 2020</xref>). In this aspect, our results were consistent with their observation that lopinavir-ritonavir reduced mortality. A further publication advised to consider starting lopinavir-ritonavir earlier and speculated about the favourable effects of LPV/r, supporting the need for further clinical studies in this field (<xref ref-type="bibr" rid="B30">Owa and Owa, 2020</xref>).</p>
<p>In the RECOVERY trial LPV/r was not associated with reduced 28-day mortality, duration of hospital stay or the risk of progression to invasive mechanical ventilation. However, we have to evaluate these results cautiously as an overall 74% of patients required respiratory support in form of oxygen therapy at baseline and both the usual care and LPV/r were started at an average 8 days after symptom onset (<xref ref-type="bibr" rid="B33">RECOVERY Collaborative Group, 2020</xref>). In line with this, oxygen therapy was associated with worse outcomes in the LPV/r group in our study. Additionally, the WHO SOLIDARITY trial included primarily patients already being ventilated or using respiratory support at the time of their recruitment.</p>
<p>Patients assigned to antiviral treatment had severe COVID-19, most of them lived in Asia and Africa where limited treatment resources were available, and some patients would have needed respiratory support (<xref ref-type="bibr" rid="B39">WHO Solidarity Trial Consortium, 2022</xref>). Although the final results concentrated on the effects of remdesivir therapy, the interim research results suggested that LPV/r can have benefits in a defined group of patients (&lt; 50 years) (<xref ref-type="bibr" rid="B40">WHO Solidarity Trial Consortium et&#xa0;al., 2021</xref>). Further studies compared LPV/r to other drug combinations, and one of them found that a triple combination with LPV/r, interferon beta -1b and ribavirin significantly improved National Early Warning Score (NEWS2), Sequential Organ Failure Assessment (SOFA) scores, hospital stay and decreased the time to negative viral load in nasopharyngeal specimens only if the patient allocation was done prior to 7 days after symptom onset (<xref ref-type="bibr" rid="B15">Hung et&#xa0;al., 2020</xref>). These data also pointed out that similar to MERS and SARS, the early antiviral treatment may be crucial against SARS-CoV-2, and one should consider the wide randomisation windows in the evaluation of clinical trial results (<xref ref-type="bibr" rid="B11">de Wit et&#xa0;al., 2016</xref>). Additional studies aimed to compare LPV/r alone to other drugs such as umifenovir, novaferon or hydroxychloroquine, and to their combinations. However, these studies had no standard care group, had small sample size, poor statistical power and different control groups with various study population heterogeneity, therefore they have to be interpreted cautiously (<xref ref-type="bibr" rid="B20">Li et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B27">Nojomi et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B42">Zheng et&#xa0;al., 2020</xref>). The TOGETHER trial enrolled COVID-19 patients with at least one clinical criterion for high risk and compared the effects of LPV/r or hydroxychloroquine to placebo. Although the participants received the treatment less than 8 days from symptom onset, the trial confirmed that neither LPV/r, nor hydroxychloroquine showed associations with COVID-19 mortality or hospitalisation (<xref ref-type="bibr" rid="B34">Reis et&#xa0;al., 2021</xref>). Another study confirmed that all paediatric patients with mild or moderate COVID-19 receiving LPV/r were cured and had reduced hospital stay (<xref ref-type="bibr" rid="B32">Qiu et&#xa0;al., 2020</xref>). Taken together, these data suggest that LPV/r may have clinical benefits in a predefined subgroup of hospitalised patients without baseline respiratory support. Indeed, our data is consistent with this theory, as patients without severe comorbidities or oxygen supplementation receiving LPV/r showed association with lower risk of COVID-19 associated death.</p>
<p>Darunavir, another protease inhibitor, was identified as a promising hit by computational methods which indicated it to be more effective against COVID-19 than LPV/r (<xref ref-type="bibr" rid="B18">Khan et&#xa0;al., 2021</xref>). Darunavir was mostly used in combination with cobicistat (DRV/c), but this drug combination did not meet the initial expectations. DRV/c was effective at high concentrations against SARS-CoV-2 <italic>in vitro</italic> and proved to be more tolerable and safer than LPV/r (<xref ref-type="bibr" rid="B29">Orkin et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B41">Yamamoto et&#xa0;al., 2020</xref>). However, a study by Milic et&#xa0;al. confirmed that patients on DRV/c had higher mortality rate and risk for mechanical ventilation, compared to patients received standard care (<xref ref-type="bibr" rid="B26">Milic et&#xa0;al., 2021</xref>). A further study compared DRV/c with LPV/r and revealed that DRV/c was associated with 89% increased risk of death if the patients were women, older, had severe infection and received hydroxychloroquine. Additionally, a subgroup analysis of data from this study showed a lower risk of death in patients with mild disease treated with LPV/r (<xref ref-type="bibr" rid="B12">Di Castelnuovo et&#xa0;al., 2021</xref>). Another observational study comparing the efficacy of early administered DRV/c versus LPV/r unravelled that LPV/r was associated with faster time to recovery and virological clearance, but not DRV/c (<xref ref-type="bibr" rid="B13">Elmekaty et&#xa0;al., 2022</xref>). These findings can be also attributed to the unfavourable toxic side-effects of DRV/c (<xref ref-type="bibr" rid="B16">Hunt et&#xa0;al., 2011</xref>). The majority of darunavir is bound to plasma proteins and metabolised by CYP3A4. As ritonavir is a known CYP3A4 inhibitor, their combination can be theoretically a more efficacious drug against COVID-19 as DRV/c, however, there is an increasing risk of drug interactions and severe side-effects (<xref ref-type="bibr" rid="B14">Hsu et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B35">Rittweger and Arast&#xe9;h, 2007</xref>). In fact, our study is the first that evaluated the clinical outcomes of DRV/r on COVID-19 patients, compared to LPV/r or standard care group. Based on our results, DRV/r was associated with increased mortality rates compared to LPV/r treated patients, showed higher rates of impaired glucose metabolism and oxygen support, but we did not observe higher frequency of cardiovascular alterations.</p>
<p>To our knowledge, our study is the first to compare the clinical effects of LPV/r and DRV/r protease inhibitors in hospitalised patients with mild-to-severe COVID-19, however, our results have some limitations. Firstly, we checked the effects in a retrospective observational nature. The treatment options were highly dependent on the accessibility of LPV/r and DRV/r in our centre. A placebo-controlled project would have been also not accepted during the early desperate time of the pandemic, so we tried to exclude the potential confounding factors with propensity-score matching method. Additionally, our study was launched relatively early during the pandemic and it would have been complicated to set up a randomised prospective study and get an ethical approval for these combinations.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>The main benefits of drug repurposing include the existing knowledge of a drug&#x2019;s pharmacokinetics, pharmacodynamics, and toxicity. Employing similar strategies to find anti-SARS-CoV-2 compounds could significantly reduce the time required to identify an effective treatment for COVID-19, thereby lessening the disease&#x2019;s impact, including hospital admissions, deaths, and long-term consequences. The global health crisis caused by the COVID-19 pandemic has necessitated the urgent acceleration of drug discovery and the swift identification of effective treatments and therapeutic options. While repurposed drugs must still undergo clinical trials, it is evident that this approach can quickly uncover effective treatments, even among those drugs that did not succeed for their initial intended use. Despite the widespread administration of COVID-19 vaccinations, COVID-19 continues to pose significant financial and public health challenges globally. Furthermore, vaccinations are not equally accessible to all populations; hence, repurposed drugs for the treatment of COVID-19 remain a viable option.</p>
<p>This retrospective study demonstrated that early treatment with lopinavir-ritonavir was associated with significantly improved survival and mortality rates compared to darunavir-ritonavir. Lopinavir-ritonavir exhibited a higher probability of survival compared to both the darunavir-ritonavir and standard care groups. Therefore, in the event of a future medication shortage during the COVID-19 pandemic, it would remain a favourable option for a carefully selected subgroup of patients. Despite some studies, the long-term effects of lopinavir-ritonavir in these patients await confirmation in a prospective, randomised, controlled trial. Our findings suggest that lopinavir-ritonavir should not be entirely disregarded for the treatment of COVID-19 and confirm that the combination of darunavir-ritonavir offers no additional clinical benefit for these patients.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Infectious Diseases and Pulmonology Clinical Hospital Timisoara - Ethics Committee. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because the study design was retrospective.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>DP: Conceptualization, Formal analysis, Methodology, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. ABi: Conceptualization, Formal analysis, Methodology, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. ABl: Data curation, Investigation, Project administration, Software, Validation, Writing &#x2013; review &amp; editing. EB: Data curation, Project administration, Software, Validation, Writing &#x2013; review &amp; editing. AL: Data curation, Formal analysis, Project administration, Software, Validation, Writing &#x2013; review &amp; editing. CM: Data curation, Formal analysis, Project administration, Software, Validation, Writing &#x2013; review &amp; editing. SM: Data curation, Formal analysis, Project administration, Software, Validation, Visualization, Writing &#x2013; review &amp; editing. SF: Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. We would like to acknowledge VICTOR BABES UNIVERSITY OF MEDICINE AND PHARMACY TIMISOARA for their support in covering the costs of publication of this research paper. DP was supported by the University Research Fellowship Program (EK&#xd6;P) of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund (EK&#xd6;P-24-4 - SZTE-376).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>COVID-19, coronavirus disease 2019; CRP, C-reactive protein; CT, computed tomography; DRV/r, darunavir-ritonavir; LMWH, low molecular weight heparin; LPV/r, lopinavir-ritonavir; MERS, Middle-East respiratory syndrome; RT-PCR, real-time polymerase chain reaction; SaO2, oxygen saturation; SARS, severe acute respiratory syndrome; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Arabi</surname> <given-names>Y. M.</given-names>
</name>
<name>
<surname>Gordon</surname> <given-names>A. C.</given-names>
</name>
<name>
<surname>Derde</surname> <given-names>L. P. G.</given-names>
</name>
<name>
<surname>Nichol</surname> <given-names>A. D.</given-names>
</name>
<name>
<surname>Murthy</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Beidh</surname> <given-names>F. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Lopinavir-ritonavir and hydroxychloroquine for critically ill patients with COVID-19: REMAP-CAP randomized controlled trial</article-title>. <source>Intensive Care Med.</source> <volume>47</volume>, <fpage>867</fpage>&#x2013;<lpage>886</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00134-021-06448-5</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cao</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Wen</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Fan</surname> <given-names>G.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>a). <article-title>A trial of lopinavir-ritonavir in adults hospitalized with severe covid-19</article-title>. <source>N. Engl. J. Med.</source> <volume>382</volume>, <fpage>1787</fpage>&#x2013;<lpage>1799</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMoa2001282</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cao</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>C. A.</given-names>
</name>
</person-group> (<year>2020</year>b). <article-title>Trial of lopinavir-ritonavir in covid-19. Reply</article-title>. <source>N. Engl. J. Med.</source> <volume>382</volume>, <elocation-id>e68</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMc2008043</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Carmona-Bayonas</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Jimenez-Fonseca</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Casta&#xf1;&#xf3;n</surname> <given-names>E. A.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Trial of&#xa0;lopinavir-ritonavir in covid-19</article-title>. <source>N. Engl. J. Med.</source> <volume>382</volume>, <elocation-id>e68</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMc2008043</pub-id>
</citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chan</surname> <given-names>J. F.-W.</given-names>
</name>
<name>
<surname>Yao</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Yeung</surname> <given-names>M.-L.</given-names>
</name>
<name>
<surname>Deng</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Bao</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Jia</surname> <given-names>L.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>Treatment with lopinavir/ritonavir or interferon-&#x392;1b improves outcome of MERS-CoV infection in a nonhuman primate model of common marmoset</article-title>. <source>J. Infect. Dis.</source> <volume>212</volume>, <fpage>1904</fpage>&#x2013;<lpage>1913</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/infdis/jiv392</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Choy</surname> <given-names>K.-T.</given-names>
</name>
<name>
<surname>Wong</surname> <given-names>A. Y.-L.</given-names>
</name>
<name>
<surname>Kaewpreedee</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Sia</surname> <given-names>S. F.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Hui</surname> <given-names>K. P. Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Remdesivir, lopinavir, emetine, and homoharringtonine inhibit SARS-coV-2 replication <italic>in vitro</italic>
</article-title>. <source>Antiviral Res.</source> <volume>178</volume>, <elocation-id>104786</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.antiviral.2020.104786</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chu</surname> <given-names>C. M.</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>V. C. C.</given-names>
</name>
<name>
<surname>Hung</surname> <given-names>I. F. N.</given-names>
</name>
<name>
<surname>Wong</surname> <given-names>M. M. L.</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>K. H.</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>K. S.</given-names>
</name>
<etal/>
</person-group>. (<year>2004</year>). <article-title>Role of lopinavir/ritonavir in the treatment of SARS: initial virological and clinical findings</article-title>. <source>Thorax</source> <volume>59</volume>, <fpage>252</fpage>&#x2013;<lpage>256</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/thorax.2003.012658</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dalerba</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Levin</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Thompson</surname> <given-names>J. L. A.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Trial of lopinavir-ritonavir in covid-19</article-title>. <source>N. Engl. J. Med.</source> <volume>382</volume>, <elocation-id>e68</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMc2008043</pub-id>
</citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>De Meyer</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Bojkova</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Cinatl</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Van Damme</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Buyck</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Van Loock</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Lack of antiviral activity of darunavir against SARS-CoV-2</article-title>. <source>Int. J. Infect. Dis. IJID Off. Publ. Int. Soc Infect. Dis.</source> <volume>97</volume>, <fpage>7</fpage>&#x2013;<lpage>10</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ijid.2020.05.085</pub-id>
</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>de Wilde</surname> <given-names>A. H.</given-names>
</name>
<name>
<surname>Jochmans</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Posthuma</surname> <given-names>C. C.</given-names>
</name>
<name>
<surname>Zevenhoven-Dobbe</surname> <given-names>J. C.</given-names>
</name>
<name>
<surname>van Nieuwkoop</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Bestebroer</surname> <given-names>T. M.</given-names>
</name>
<etal/>
</person-group>. (<year>2014</year>). <article-title>Screening of an FDA-approved compound library identifies four small-molecule inhibitors of middle east respiratory syndrome coronavirus replication in cell culture</article-title>. <source>Antimicrob. Agents Chemother.</source> <volume>58</volume>, <fpage>4875</fpage>&#x2013;<lpage>4884</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1128/AAC.03011-14</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>de Wit</surname> <given-names>E.</given-names>
</name>
<name>
<surname>van Doremalen</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Falzarano</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Munster</surname> <given-names>V. J.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>SARS and MERS: recent insights into emerging coronaviruses</article-title>. <source>Nat. Rev. Microbiol.</source> <volume>14</volume>, <fpage>523</fpage>&#x2013;<lpage>534</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrmicro.2016.81</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Di Castelnuovo</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Costanzo</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Antinori</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Berselli</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Blandi</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Bonaccio</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Lopinavir/ritonavir and darunavir/cobicistat in hospitalized COVID-19 patients: findings from the multicenter italian CORIST study</article-title>. <source>Front. Med.</source> <volume>8</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fmed.2021.639970</pub-id>
</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Elmekaty</surname> <given-names>E. Z. I.</given-names>
</name>
<name>
<surname>Alibrahim</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Hassanin</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Eltaib</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Elsayed</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Rustom</surname> <given-names>F.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Darunavir-cobicistat versus lopinavir-ritonavir in the treatment of COVID-19 infection (DOLCI): A multicenter observational study</article-title>. <source>PloS One</source> <volume>17</volume>, <elocation-id>e0267884</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0267884</pub-id>
</citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hsu</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Granneman</surname> <given-names>G. R.</given-names>
</name>
<name>
<surname>Bertz</surname> <given-names>R. J.</given-names>
</name>
</person-group> (<year>1998</year>). <article-title>Ritonavir. Clinical pharmacokinetics and interactions with other anti-HIV agents</article-title>. <source>Clin. Pharmacokinet.</source> <volume>35</volume>, <fpage>275</fpage>&#x2013;<lpage>291</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2165/00003088-199835040-00002</pub-id>
</citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hung</surname> <given-names>I. F.-N.</given-names>
</name>
<name>
<surname>Lung</surname> <given-names>K.-C.</given-names>
</name>
<name>
<surname>Tso</surname> <given-names>E. Y.-K.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Chung</surname> <given-names>T. W.-H.</given-names>
</name>
<name>
<surname>Chu</surname> <given-names>M.-Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Triple combination of interferon beta-1b, lopinavir-ritonavir, and ribavirin in the treatment of patients admitted to hospital with COVID-19: an open-label, randomised, phase 2 trial</article-title>. <source>Lancet Lond. Engl.</source> <volume>395</volume>, <fpage>1695</fpage>&#x2013;<lpage>1704</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(20)31042-4</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hunt</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Hughes</surname> <given-names>C. A.</given-names>
</name>
<name>
<surname>Hills-Nieminen</surname> <given-names>C.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Protease inhibitor-associated QT interval prolongation</article-title>. <source>Ann. Pharmacother.</source> <volume>45</volume>, <fpage>1544</fpage>&#x2013;<lpage>1550</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1345/aph.1Q422</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kang</surname> <given-names>C. K.</given-names>
</name>
<name>
<surname>Seong</surname> <given-names>M.-W.</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>S.-J.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>T. S.</given-names>
</name>
<name>
<surname>Choe</surname> <given-names>P. G.</given-names>
</name>
<name>
<surname>Song</surname> <given-names>S. H.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>
<italic>In Vitro</italic> Activity of Lopinavir/Ritonavir and Hydroxychloroquine against Severe Acute Respiratory Syndrome Coronavirus 2 at Concentrations Achievable by Usual Doses</article-title>. <source>Korean J. Intern. Med.</source> <volume>35</volume>, <fpage>782</fpage>&#x2013;<lpage>787</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3904/kjim.2020.157</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khan</surname> <given-names>S. A.</given-names>
</name>
<name>
<surname>Zia</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Ashraf</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Uddin</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Ul-Haq</surname> <given-names>Z.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Identification of chymotrypsin-like protease inhibitors of SARS-CoV-2 via integrated computational approach</article-title>. <source>J. Biomol. Struct. Dyn.</source> <volume>39</volume>, <fpage>2607</fpage>&#x2013;<lpage>2616</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/07391102.2020.1751298</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kumar</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Singh</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Kaur</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Pandey</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Sharma</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Thakur</surname> <given-names>L.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Wuhan to world: the COVID-19 pandemic</article-title>. <source>Front. Cell. Infect. Microbiol.</source> <volume>11</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fcimb.2021.596201</pub-id>
</citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Wen</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Guan</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Efficacy and safety of lopinavir/ritonavir or arbidol in adult patients with mild/moderate COVID-19: an exploratory randomized controlled trial</article-title>. <source>Med. N. Y. N</source> <volume>1</volume>, <fpage>105</fpage>&#x2013;<lpage>113.e4</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.medj.2020.04.001</pub-id>
</citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Sui</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Kuhn</surname> <given-names>J. H.</given-names>
</name>
<name>
<surname>Moore</surname> <given-names>M. J.</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2005</year>). <article-title>Receptor and viral determinants of SARS-coronavirus adaptation to human ACE2</article-title>. <source>EMBO J.</source> <volume>24</volume>, <fpage>1634</fpage>&#x2013;<lpage>1643</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/sj.emboj.7600640</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lim</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Jeon</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Shin</surname> <given-names>H. Y.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>M. J.</given-names>
</name>
<name>
<surname>Seong</surname> <given-names>Y. M.</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>W. J.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Case of the index patient who caused tertiary transmission of COVID-19 infection in Korea: the application of lopinavir/ritonavir for the treatment of COVID-19 infected pneumonia monitored by quantitative RT-PCR</article-title>. <source>J. Korean Med. Sci.</source> <volume>35</volume>, <elocation-id>e79</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3346/jkms.2020.35.e79</pub-id>
</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ma</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Yi</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Identification of darunavir derivatives for inhibition of SARS-coV-2 3CLpro</article-title>. <source>Int. J. Mol. Sci.</source> <volume>23</volume>, <elocation-id>16011</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms232416011</pub-id>
</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Magro</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Zanella</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Pescarolo</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Castelli</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Quiros-Roldan</surname> <given-names>E.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Lopinavir/ritonavir: repurposing an old drug for HIV infection in COVID-19 treatment</article-title>. <source>Biomed. J.</source> <volume>44</volume>, <fpage>43</fpage>&#x2013;<lpage>53</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bj.2020.11.005</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mallah</surname> <given-names>S. I.</given-names>
</name>
<name>
<surname>Ghorab</surname> <given-names>O. K.</given-names>
</name>
<name>
<surname>Al-Salmi</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Abdellatif</surname> <given-names>O. S.</given-names>
</name>
<name>
<surname>Tharmaratnam</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Iskandar</surname> <given-names>M. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>COVID-19: breaking down a global health crisis</article-title>. <source>Ann. Clin. Microbiol. Antimicrob.</source> <volume>20</volume>, <fpage>35</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12941-021-00438-7</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Milic</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Novella</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Meschiari</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Menozzi</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Santoro</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Bedini</surname> <given-names>A.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Darunavir/cobicistat is associated with negative outcomes in HIV-negative patients with severe COVID-19 pneumonia</article-title>. <source>AIDS Res. Hum. Retroviruses</source> <volume>37</volume>, <fpage>283</fpage>&#x2013;<lpage>291</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/AID.2020.0305</pub-id>
</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nojomi</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Yassin</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Keyvani</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Makiani</surname> <given-names>M. J.</given-names>
</name>
<name>
<surname>Roham</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Laali</surname> <given-names>A.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Effect of arbidol (Umifenovir) on COVID-19: A randomized controlled trial</article-title>. <source>BMC Infect. Dis.</source> <volume>20</volume>, <fpage>954</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12879-020-05698-w</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nutho</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Mahalapbutr</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Hengphasatporn</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Pattaranggoon</surname> <given-names>N. C.</given-names>
</name>
<name>
<surname>Simanon</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Shigeta</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Why Are Lopinavir and Ritonavir Effective against the Newly Emerged Coronavirus 2019? Atomistic Insights into the Inhibitory Mechanisms</article-title>. <source>Biochemistry</source> <volume>59</volume>, <fpage>1769</fpage>&#x2013;<lpage>1779</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/acs.biochem.0c00160</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Orkin</surname> <given-names>C.</given-names>
</name>
<name>
<surname>DeJesus</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Khanlou</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Stoehr</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Supparatpinyo</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Lathouwers</surname> <given-names>E.</given-names>
</name>
<etal/>
</person-group>. (<year>2013</year>). <article-title>Final 192-week efficacy and safety of once-daily darunavir/ritonavir compared with lopinavir/ritonavir in HIV-1-infected treatment-na&#xef;ve patients in the ARTEMIS trial</article-title>. <source>HIV Med.</source> <volume>14</volume>, <fpage>49</fpage>&#x2013;<lpage>59</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/j.1468-1293.2012.01060.x</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Owa</surname> <given-names>A. B.</given-names>
</name>
<name>
<surname>Owa</surname> <given-names>O. T.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Lopinavir/ritonavir use in Covid-19 infection: is it completely non-beneficial</article-title>? <source>J. Microbiol. Immunol. Infect. Wei Mian Yu Gan Ran Za Zhi</source> <volume>53</volume>, <fpage>674</fpage>&#x2013;<lpage>675</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jmii.2020.05.014</pub-id>
</citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Patel</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Patel</surname> <given-names>P. B.</given-names>
</name>
<name>
<surname>Barvaliya</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Saurabh</surname> <given-names>M. K.</given-names>
</name>
<name>
<surname>Bhalla</surname> <given-names>H. L.</given-names>
</name>
<name>
<surname>Khosla</surname> <given-names>P. P.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Efficacy and safety of lopinavir-ritonavir in COVID-19: A systematic review of randomized controlled trials</article-title>. <source>J. Infect. Public Health</source> <volume>14</volume>, <fpage>740</fpage>&#x2013;<lpage>748</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jiph.2021.03.015</pub-id>
</citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qiu</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Hong</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Song</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>D.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Clinical and epidemiological features of 36 children with coronavirus disease 2019 (COVID-19) in Zhejiang, China: an observational cohort study</article-title>. <source>Lancet Infect. Dis.</source> <volume>20</volume>, <fpage>689</fpage>&#x2013;<lpage>696</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1473-3099(20)30198-5</pub-id>
</citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<collab>RECOVERY Collaborative Group</collab>
</person-group> (<year>2020</year>). <article-title>Lopinavir-ritonavir in patients admitted to hospital with COVID-19 (RECOVERY): A randomised, controlled, open-label, platform trial</article-title>. <source>Lancet Lond. Engl.</source> <volume>396</volume>, <fpage>1345</fpage>&#x2013;<lpage>1352</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(20)32013-4</pub-id>
</citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Reis</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Moreira Silva</surname> <given-names>E. A. D. S.</given-names>
</name>
<name>
<surname>Medeiros Silva</surname> <given-names>D. C.</given-names>
</name>
<name>
<surname>Thabane</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Singh</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Park</surname> <given-names>J. J. H.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Effect of early treatment with hydroxychloroquine or lopinavir and ritonavir on risk of hospitalization among patients with COVID-19: the TOGETHER randomized clinical trial</article-title>. <source>JAMA Netw. Open</source> <volume>4</volume>, <elocation-id>e216468</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamanetworkopen.2021.6468</pub-id>
</citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rittweger</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Arast&#xe9;h</surname> <given-names>K.</given-names>
</name>
</person-group> (<year>2007</year>). <article-title>Clinical pharmacokinetics of darunavir</article-title>. <source>Clin. Pharmacokinet.</source> <volume>46</volume>, <fpage>739</fpage>&#x2013;<lpage>756</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2165/00003088-200746090-00002</pub-id>
</citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sang</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Tian</surname> <given-names>S.-H.</given-names>
</name>
<name>
<surname>Meng</surname> <given-names>Z.-H.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>L.-Q.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Anti-HIV drug&#xa0;repurposing against SARS-CoV-2</article-title>. <source>RSC Adv.</source> <volume>10</volume>, <fpage>15775</fpage>&#x2013;<lpage>15783</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1039/d0ra01899f</pub-id>
</citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Singh</surname> <given-names>T. U.</given-names>
</name>
<name>
<surname>Parida</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Lingaraju</surname> <given-names>M. C.</given-names>
</name>
<name>
<surname>Kesavan</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Kumar</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Singh</surname> <given-names>R. K.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Drug repurposing approach to fight COVID-19</article-title>. <source>Pharmacol. Rep. PR</source> <volume>72</volume>, <fpage>1479</fpage>&#x2013;<lpage>1508</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s43440-020-00155-6</pub-id>
</citation>
</ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) <italic>in vitro</italic>
</article-title>. <source>Cell Res.</source> <volume>30</volume>, <fpage>269</fpage>&#x2013;<lpage>271</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41422-020-0282-0</pub-id>
</citation>
</ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<collab>WHO Solidarity Trial Consortium</collab>
</person-group> (<year>2022</year>). <article-title>Remdesivir and three other drugs for hospitalised patients with COVID-19: final results of the WHO solidarity randomised trial and updated meta-analyses</article-title>. <source>Lancet Lond. Engl.</source> <volume>399</volume>, <fpage>1941</fpage>&#x2013;<lpage>1953</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(22)00519-0</pub-id>
</citation>
</ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<collab>WHO Solidarity Trial Consortium</collab>
<name>
<surname>Pan</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Peto</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Henao-Restrepo</surname> <given-names>A.-M.</given-names>
</name>
<name>
<surname>Preziosi</surname> <given-names>M.-P.</given-names>
</name>
<name>
<surname>Sathiyamoorthy</surname> <given-names>V.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Repurposed antiviral drugs for covid-19 - interim WHO solidarity trial results</article-title>. <source>N. Engl. J. Med.</source> <volume>384</volume>, <fpage>497</fpage>&#x2013;<lpage>511</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMoa2023184</pub-id>
</citation>
</ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yamamoto</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Matsuyama</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Hoshino</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Yamamoto</surname> <given-names>N.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Nelfinavir inhibits replication of severe acute respiratory syndrome coronavirus 2 <italic>in vitro</italic>
</article-title>. doi:&#xa0;<pub-id pub-id-type="doi">10.1101/2020.04.06.026476</pub-id>
</citation>
</ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zheng</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>SARS-CoV-2 clearance in COVID-19 patients with novaferon treatment: A randomized, open-label, parallel-group trial</article-title>. <source>Int. J. Infect. Dis. IJID Off. Publ. Int. Soc Infect. Dis.</source> <volume>99</volume>, <fpage>84</fpage>&#x2013;<lpage>91</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ijid.2020.07.053</pub-id>
</citation>
</ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zumla</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>J. F. W.</given-names>
</name>
<name>
<surname>Azhar</surname> <given-names>E. I.</given-names>
</name>
<name>
<surname>Hui</surname> <given-names>D. S. C.</given-names>
</name>
<name>
<surname>Yuen</surname> <given-names>K.-Y.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Coronaviruses - drug discovery and therapeutic options</article-title>. <source>Nat. Rev. Drug Discovery</source> <volume>15</volume>, <fpage>327</fpage>&#x2013;<lpage>347</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrd.2015.37</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>