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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">863587</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2022.863587</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Beneficial Effect of Short-Term Supplementation of High Dose of Vitamin D<sub>3</sub> in Hospitalized Patients With COVID-19: A Multicenter, Single-Blinded, Prospective Randomized Pilot Clinical Trial</article-title>
<alt-title alt-title-type="left-running-head">Cervero et al.</alt-title>
<alt-title alt-title-type="right-running-head">Vitamin D<sub>3</sub> Supplementation in COVID-19 Patients</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cervero</surname>
<given-names>Miguel</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1654900/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>L&#xf3;pez-Wolf</surname>
<given-names>Daniel</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Casado</surname>
<given-names>Guiomar</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1678975/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Novella-Mena</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ryan-Murua</surname>
<given-names>Pablo</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Taboada-Mart&#xed;nez</surname>
<given-names>Mar&#xed;a Luisa</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rodr&#xed;guez-Mora</surname>
<given-names>Sara</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1341198/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vig&#xf3;n</surname>
<given-names>Lorena</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1269907/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Coiras</surname>
<given-names>Mayte</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/199362/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Torres</surname>
<given-names>Montserrat</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1278506/overview"/>
</contrib>
<on-behalf-of>Multidisciplinary Group of Study of COVID-19 (MGS-COVID)</on-behalf-of>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Internal Medicine Service</institution>, <institution>Hospital Universitario Severo Ochoa</institution>, <addr-line>Legan&#xe9;s</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Internal Medicine Service</institution>, <institution>Hospital Universitario Fundaci&#xf3;n Alcorc&#xf3;n</institution>, <addr-line>Alcorc&#xf3;n</addr-line>, <country>Spain</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Immunopathology Unit</institution>, <institution>National Center of Microbiology</institution>, <institution>Instituto de Salud Carlos III</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Internal Medicine Service</institution>, <institution>Hospital Universitario Pr&#xed;ncipe de Asturias</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Internal Medicine Service</institution>, <institution>Hospital Universitario Infanta Leonor</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Internal Medicine Service</institution>, <institution>Hospital Universitario de Cabue&#xf1;es</institution>, <addr-line>Gij&#xf3;n</addr-line>, <country>Spain</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/412938/overview">Kai Hilpert</ext-link>, St George&#x2019;s, University of London, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1168226/overview">Igor Murai</ext-link>, University of S&#xe3;o Paulo, Brazil</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/837661/overview">Irina Chis Ster</ext-link>, St George&#x2019;s, University of London, United Kingdom</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/189034/overview">William B. Grant</ext-link>, Sunlight Nutrition and Health Research Center, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Miguel Cervero, <email>mcerveroj@me.com</email>; Mayte Coiras, <email>mcoiras@isciii.es</email>; Montserrat Torres, <email>m.torres@isciii.es</email>
</corresp>
<fn fn-type="other" id="fn1">
<p>
<sup>&#x2020;</sup>Contributing members of the Multidisciplinary Group of Study of COVID-19 (in alphabetical order)</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Pharmacology of Infectious Diseases, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>07</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>863587</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>06</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Cervero, L&#xf3;pez-Wolf, Casado, Novella-Mena, Ryan-Murua, Taboada-Mart&#xed;nez, Rodr&#xed;guez-Mora, Vig&#xf3;n, Coiras and Torres.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Cervero, L&#xf3;pez-Wolf, Casado, Novella-Mena, Ryan-Murua, Taboada-Mart&#xed;nez, Rodr&#xed;guez-Mora, Vig&#xf3;n, Coiras and Torres</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>
<p>There is now sufficient evidence to support that vitamin D deficiency may predispose to SARS-CoV-2 infection and increase COVID-19 severity and mortality. It has been suggested that vitamin D<sub>3</sub> supplementation may be used prophylactically as an affordable and safe strategy that could be added to the existing COVID-19 standard treatment. This multicenter, single-blinded, prospective randomized pilot clinical trial aimed to evaluate the safety, tolerability, and effectiveness of 10,000 IU/day in comparison with 2000 IU/day of cholecalciferol supplementation for 14&#xa0;days to reduce the duration and severity of COVID-19 in 85 hospitalized individuals. The median age of the participants was 65&#xa0;years (Interquartile range (IQR): 53&#x2013;74), most of them (71%) were men and the mean baseline of 25-hydroxyvitamin D (25(OH)D) in serum was 15&#xa0;ng/ml (standard deviation (SD):6). After 14&#xa0;days of supplementation, serum 25(OH)D levels were significantly increased in the group who received 10,000IU/day (<italic>p</italic> &#x3c; 0.0001) (<italic>n</italic> &#x3d; 44) in comparison with the 2,000IU/day group (<italic>n</italic> &#x3d; 41), especially in overweight and obese participants, and the higher dose was well tolerated. A fraction of the individuals in our cohort (10/85) developed acute respiratory distress syndrome (ARDS). The median length of hospital stay in these patients with ARDS was significantly different in the participants assigned to the 10,000IU/day group (<italic>n</italic> &#x3d; 4; 7 days; IQR: 4&#x2013;13) and the 2,000IU/day group (<italic>n</italic> &#x3d; 6; 27 days; IQR: 12&#x2013;45) (<italic>p</italic> &#x3d; 0.04). Moreover, the inspired oxygen fraction was reduced 7.6-fold in the high dose group (<italic>p</italic> &#x3d; 0.049). In terms of blood parameters, we did not identify overall significant improvements, although the platelet count showed a modest but significant difference in those patients who were supplemented with the higher dose (<italic>p</italic> &#x3d; 0.0492). In conclusion, the administration of 10,000IU/day of vitamin D<sub>3</sub> for 14&#xa0;days in association with the standard clinical care during hospitalization for COVID-19 was safe, tolerable, and beneficial, thereby helping to improve the prognosis during the recovery process.</p>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>SARS-CoV-2</kwd>
<kwd>vitamin D<sub>3</sub> supplementation</kwd>
<kwd>biochemical parameters</kwd>
<kwd>risk factors</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an enveloped positive-sense RNA betacoronavirus that appeared in Wuhan (China) in December 2019 and is the cause of coronavirus disease 2019 (COVID-19). COVID-19 has a variable clinical presentation from asymptomatic to milder symptoms or, far more seriously, as a severe and often deadly respiratory disease (<xref ref-type="bibr" rid="B6">Chen et al., 2020</xref>). The initial symptoms of COVID-19 mainly include fever, cough, myalgia, or fatigue and some patients develop gastrointestinal problems, such as diarrhoea and vomiting. In the later stages of the disease may occur dyspnea, hypoxia, confusion, or chest pain and gradually progress into complications such as acute respiratory distress syndrome (ARDS), which may result in lung injury, decreased oxygen saturation, and widespread tissue damage, thus, causing a multiple organ system failure, unfavourable prognosis, and even death (<xref ref-type="bibr" rid="B22">Hu et al., 2021</xref>, <xref ref-type="bibr" rid="B21">2020</xref>).</p>
<p>The main cause of COVID-19 disease severity and death in patients is the extreme inflammatory response caused when the damaged cells trigger lung inflammation, largely mediated by proinflammatory macrophages and granulocytes, along with severe lymphopenia, neutrophil activation, thrombosis, and massive mononuclear cell infiltration in multiple organs (<xref ref-type="bibr" rid="B33">Merad and Martin, 2020</xref>). Accordingly, severe or fatal cases of COVID-19 disease are associated with elevated levels of interleukin-6 (IL-6), IL-7 and reduced levels of cytokines related to T-cell antiviral activity, such as IL-2, IL-12 or interferon (IFN)-&#x3b3; (<xref ref-type="bibr" rid="B51">Vig&#xf3;n et al., 2021</xref>), as well as other laboratory abnormalities that include elevated levels of urea, creatinine, tissue markers (adipose tissue, kidney and muscle), ferritin, C-reactive protein (CRP), lower counts of lymphocytes (&#x3c;1,000/&#xb5;L), and platelets (&#x3c;100 &#xd7; 10<sup>9</sup>/L), as well as reduced levels of albumin (<xref ref-type="bibr" rid="B16">Goyal et al., 2020</xref>; <xref ref-type="bibr" rid="B28">Malik et al., 2021</xref>).</p>
<p>For a long time, no evidence-based or clinically demonstrated strategy was shown for the treatment of COVID-19 (<xref ref-type="bibr" rid="B34">Mishra and Tripathi, 2021</xref>). Different drugs, designed for treating other diseases, have been used to limit the adverse effects of viral pathogenesis, such as antivirals (e.g., remdesivir), IL-6 inhibitors (e.g., tocilizumab), Janus kinase (JAK) inhibitors (e.g., baricitinib), or corticosteroids (e.g., dexamethasone, methylprednisolone). The excessive immune response and inflammation in severe COVID-19 patients have prompted many clinical studies to use a combination of different drugs (<xref ref-type="bibr" rid="B12">Esposito et al., 2020</xref>). As a consequence, FDA recently authorized the simultaneous administration of nirmatrelvir and ritonavir for the treatment of mild-to-moderate COVID-19 in children and adults, as well as oral molnupiravir for adults, but this authorization has only been issued in case of emergency for those individuals with high risk to progress to severe disease (<xref ref-type="bibr" rid="B9">Couzin-Frankel, 2021</xref>; <xref ref-type="bibr" rid="B40">Parums, 2022</xref>).</p>
<p>Risk factors such as older age, cardiovascular disease, diabetes mellitus, chronic respiratory disease, arterial hypertension, and cancer are associated with a higher probability to develop a severe form of COVID-19 (<xref ref-type="bibr" rid="B23">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B26">Jordan et al., 2020</xref>; <xref ref-type="bibr" rid="B58">Yang et al., 2020</xref>). In addition, there is now sufficient evidence to indicate that pre-existing conditions such as vitamin D deficiency may also predispose to SARS-CoV-2 infection and increase COVID-19 severity (<xref ref-type="bibr" rid="B3">Bergman, 2021</xref>; <xref ref-type="bibr" rid="B44">Rhodes et al., 2021</xref>; <xref ref-type="bibr" rid="B48">Seal et al., 2022</xref>). Vitamin D is widely known for its role in calcium and phosphate balance but supports also key functions in many organs, including the brain, muscle and the immune system (<xref ref-type="bibr" rid="B5">Carlberg and Mu&#xf1;oz, 2022</xref>; <xref ref-type="bibr" rid="B20">Holick, 2022</xref>). Its immunomodulatory role promotes the development of an anti-inflammatory and antiviral environment and consequently, its deficiency seems to contribute to airway and gastrointestinal infectious illnesses (<xref ref-type="bibr" rid="B24">Ilie et al., 2020</xref>; <xref ref-type="bibr" rid="B55">Watkins, 2020</xref>). It has been suggested that vitamin D<sub>3</sub> supplementation may be used prophylactically as an affordable and safe treatment strategy that could be added to existing COVID-19 protocols. However, there is still no clear evidence that vitamin D<sub>3</sub> supplementation can prevent the severity and/or mortality of COVID-19.</p>
<p>Accordingly, the main objective of this study was to evaluate the safety, tolerability and effectiveness of vitamin D<sub>3</sub> supplementation to reduce the duration and severity of COVID-19 in hospitalized individuals who were recruited for a randomized pilot clinical trial to receive the moderate dose of 2000 International Units (IU)/daily of cholecalciferol or a higher dose of 10,000 IU/daily for 14&#xa0;days, in combination with the standard drug therapeutic regimen.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Study Design</title>
<p>This is a multicenter, single-blinded, prospective randomized pilot clinical trial (RCT) to evaluate the safety, tolerability, and effectiveness of the administration of daily oral supplementation of a high dose of cholecalciferol (vitamin D<sub>3</sub>) (10,000 IU/day) in comparison with a moderate dose of cholecalciferol (2000 IU/day) and in combination with the standard drug regimen therapeutic. Due to the potential effectiveness of vitamin D<sub>3</sub> supplementation, and following the ethical tenet of beneficence, this pilot clinical trial did not include a placebo arm. The moderate (2000 IU/day) dose was selected following the Endocrine Society Practice Guidelines on Vitamin D which recommends the intake of 1,500&#x2013;2,000&#xa0;IU/day of vitamin D<sub>2</sub> or D<sub>3</sub> for adults over 18&#xa0;year-old to achieve an optimal blood concentration of 25(OH)D in the range of 75&#x2013;100&#xa0;nmol/L (30&#x2013;40&#xa0;ng/ml) (<xref ref-type="bibr" rid="B18">Holick et al., 2011</xref>). The high dose (10,000&#xa0;IU) was selected because the amount of vitamin D<sub>3</sub> made in the skin after Sun exposure has been estimated within a range from 10,000 to 25,000&#xa0;IU/day (<xref ref-type="bibr" rid="B50">Stamp et al., 1977</xref>; <xref ref-type="bibr" rid="B19">Holick and Chen, 2008</xref>; <xref ref-type="bibr" rid="B32">McCullough et al., 2019</xref>) and also because the daily intake of 10,000&#xa0;IU/day for 5&#xa0;months has been considered safe in a healthy population, without reporting events of hypercalcaemia or an increase in the urinary calcium excretion (<xref ref-type="bibr" rid="B17">Heaney et al., 2003</xref>; <xref ref-type="bibr" rid="B19">Holick and Chen, 2008</xref>). This study was sponsored by Hospital Universitario Severo Ochoa (Madrid, Spain) and was conducted between June 2020 and March 2021 in this hospital and other four Tertiary Care Hospitals located in Spain: Hospital Universitario Infanta Leonor (Madrid), Hospital Universitario Fundaci&#xf3;n Alcorc&#xf3;n (Alcorc&#xf3;n, Madrid), Hospital Universitario Pr&#xed;ncipe de Asturias (Alcal&#xe1; de Henares, Madrid), and Hospital Universitario de Cabue&#xf1;es (Gij&#xf3;n, Asturias).</p>
</sec>
<sec id="s2-2">
<title>Participants</title>
<p>The eligible participants were patients aged 18 years or older diagnosed with COVID-19 pneumonia based on clinical-radiological criteria and positive for SARS-CoV-2 infection confirmed by laboratory detection (RT-PCR), with values of oxygen saturation &#x3c;94% and levels of 25(OH)D in serum &#x3c;30&#xa0;ng/ml. The exclusion criteria were pregnancy or to be lactating, patients who were participating in other clinical trials with drugs with potential antiviral action for COVID-19, on treatment with digoxin, with evidence of Multiple Organ Dysfunction Syndrome (MODS), or who were requiring mechanical ventilation at the time of inclusion. Patients who had hypersensitivity to cholecalciferol or the excipient refined olive oil, had hypercalcemia or hypercalciuria, were diagnosed with hereditary fructose intolerance, sarcoidosis or hyperparathyroidism, had glucose-galactose malabsorption, sucrose insufficiency or chronic kidney disease (stage 4; estimated glomerular filtration rate (eGFR) &#x3c; 30), or who were expected to be transferred to another hospital in the following 96&#xa0;h or to die in the next 24&#x2013;48&#xa0;h were also excluded.</p>
</sec>
<sec id="s2-3">
<title>Ethical Considerations</title>
<p>This pilot clinical trial (protocol ID 01052020) was previously reviewed and approved by the Spanish Agency for Medicines and Health Products (AEMPS) (EudraCT Number 2020&#x2013;002312&#x2013;43) and by the Drug Research Ethics Committee of the Hospital Universitario Severo Ochoa (Madrid, Spain) (<ext-link ext-link-type="uri" xlink:href="https://reec.aemps.es/reec/estudio/2020-002312-43">https://reec.aemps.es/reec/estudio/2020-002312-43</ext-link>). The study was conducted under the recommendations for Clinical Studies and Drug Evaluation in Humans, contained in the latest version of the Declaration of Helsinki, and the Spanish and European Legislation on Clinical Studies (Real Decreto 1090/2015; European Regulation 536/2014). Written or oral informed consent was obtained from all patients.</p>
</sec>
<sec id="s2-4">
<title>Procedures</title>
<p>Following eligibility screening (visit 1), patients were randomized according to a computer-generated process by blocks series sizes of 5 (STATA 14.2 software; StataCorp LLC, College Station, TX) to receive 10,000 IU or 2000 IU of cholecalciferol (1:1) once daily for 14&#xa0;days. Study medication was presented as an oral solution containing 25,000 IU/2.5&#xa0;ml of cholecalciferol (Grupo Italfarmaco, Madrid, Spain) (National Code 7188605; ATC code A11CC05). This medication was provided by the pharmacy of each hospital, where the batches of the vials were registered, and administrated by a nurse according to the medical prescription. Throughout the study, all patients received any concomitant medication deemed necessary to provide adequate standard care, according to local recommendations. On-treatment, the visits occurred at seven (visit 2, day 7) and fourteen (visit 3, day 14) days. After 14&#xa0;days of the end of the treatment, a safety follow-up visit (visit 4, day 28) occurred. At baseline and each visit, patients underwent a physical examination (including vital signs), a chest X-ray or imaging test, an electrocardiogram, and a blood sample collection. Data of the study were collected and recorded using the Research Electronic Data Capture tool (REDCap) online platform (<ext-link ext-link-type="uri" xlink:href="https://e-clinicos.com/redcap/">https://e-clinicos.com/redcap/</ext-link>; Vanderbilt University, Nashville, TN), including the following data: age, sex, ethnicity, body mass index (BMI), main coexisting comorbidities (chronic heart/pulmonary/inflammatory/kidney disease, arterial hypertension, asthma, cirrhosis, neoplasia, HIV-1 infection/AIDS, obesity, dementia, malnutrition, smoker), respiratory status (respiratory rate, oxygen flow, ventilatory support), radiological score (number of affected zones of lung parenchyma), vital signs (body temperature, heart rate, breath rate, systolic blood pressure, diastolic blood pressure), symptoms (fever, malaise, upper respiratory tract symptoms, dyspnea, chest pain, cough, expectoration, hemoptysis, myalgia, headache, confusion, seizures, abdominal pain, nausea, vomiting, diarrhea, rash, anosmia), biochemical parameters (leucocytes, neutrophils and lymphocytes count, haemoglobin, platelets, D-Dimer, aPTT, fibrinogen, glucose, creatinine kinase, sodium, potassium, albumin, bilirubin, alanine aminotransferase (ALT/GPT), aspartate aminotransferase (AST/GOT), C-reactive protein (CRP), lactate dehydrogenase (LDH), procalcitonin, ferritin, calcium, phosphate, iPTH and vitamin D), treatments administered during admission (corticosteroids, tocilizumab, remdesivir, ceftriaxone, azithromycin, heparin), together with their previous or indicated treatments. Data were also collected on safety, adverse effects, symptom onset, length of hospital stay (LOS), the occurrence of ARDS, defined by the ratio arterial oxygen pressure/inspired oxygen fraction (PaO<sub>2</sub>/FiO<sub>2</sub>) &#x3c;300&#xa0;mm Hg, the admission at the Intensive Care Unit (ICU), and mortality.</p>
</sec>
<sec id="s2-5">
<title>Vitamin D Quantification</title>
<p>The quantification of the level of 25(OH)D (ng/ml) in serum samples was performed with the automated immunoassays Liaison 25(OH) Vitamin D Total assay DiaSorin Liaison XL (DiaSorin, Italy) in the participating hospitals, according to the manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="s2-6">
<title>Performance Measures</title>
<p>The primary outcome measure was to reach a serum 25(OH)D concentration &#x2265;30&#xa0;ng/ml (75&#xa0;nmol/L) after 14 days of supplementation without the presence of any adverse effects. The secondary outcomes were the LOS, defined as the days that participants remained hospitalized from admission until the hospital discharge or death, as well as the development and evolution of blood biomarkers of inflammation. Other pre-specified clinical outcomes were the need for high-flow oxygen, ICU admission and mortality. The criteria for patient discharge were no requirement for supplemental oxygen, absence of fever, and oxygen saturation &#x3e;94%.</p>
</sec>
<sec id="s2-7">
<title>Safety Assessment</title>
<p>The safety assessment was carried out according to the scheme that included a detailed medical history, a physical examination and a biochemical and blood examination at each visit. Any adverse event that occurred during the study was recorded.</p>
</sec>
<sec id="s2-8">
<title>Statistical Analysis</title>
<p>The primary analyses used the intention to treat (ITT) analysis set. The data were evaluated for normality using the Kolmogorov-Smirnov test, and mean &#xb1; SD was calculated to represent data following a normal Gaussian pattern, and median and interquartile range for skewed data. Categorical data were expressed as percentages. Group comparisons were done using Mann-Whitney U-test, t-student test or Wilcoxon signed-rank test for numerical data and Chi-square (&#x3c7;2) or Fisher&#x2019;s exact test for categorical data. Predictors related to the LOS were identified using multiple linear regression analysis. Predictors related to the ARDS were identified using multiple logistic regression analysis. A two-factor mixed factorial split-plot design was used, with an intersubject factor (2000 IU/day vs. 10,000 IU/day) and an intrasubject factor (baseline, visit 2, and visit 3) using a mixed ANOVA and multiple comparisons between the three-time periods (<xref ref-type="bibr" rid="B43">Repeated Measures Analysis with Stata, n. d.</xref>). The statistical analyses and graphics were performed using STATA 14.2 software. <italic>p</italic>-values lower than 0.05 (two-tailed) were considered to be statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Participants</title>
<p>A total of 87 participants were enrolled in the study. Of them, two participants that were randomized to the 10,000 IU/day group refused to participate and withdrew consent without having taken the study medication. Finally, 44 participants were assigned to take 2000 IU/day (moderate dose) of cholecalciferol and 41 participants 10,000 IU/day (high dose) of cholecalciferol (<xref ref-type="fig" rid="F1">Figure 1</xref>). A summary of the characteristics of the participants assigned to each treatment group is shown in <xref ref-type="table" rid="T1">Table 1</xref>. The median time from the onset of the symptoms before admission was 7 days (IQR: 6&#x2013;10). Median age of the participants was 65 years (IQR: 53&#x2013;74), 71% of them were male and 54% were obese. The main conditions were hypertension (48%), dyslipidaemia (36%), and diabetes (22%), and at least one of these coexisting diseases were described in 34% of the participants. Most of the participants (86%) showed bilateral pneumonia at chest x-rays. According to the ventilatory support, 85% of the participants received oxygen with nasal goggles (between 1 and 5&#xa0;L/min) and 15% of them with reservoir (between 6 and 15&#xa0;L/min). Mean serum 25(OH)D basal levels were 14.8&#xa0;ng/ml (SD: 6.2). The treatments administered included corticosteroids such as dexamethasone and methylprednisolone (87%), ceftriaxone (59%), azithromycin (44%), IL-6 antagonists such as tocilizumab (25%), and remdesivir (15%). There were no differences between groups at baseline regarding the demographic characteristics, symptoms, vital signs, blood biochemistry data, or treatments, although the level of haemoglobin was significantly higher (<italic>p</italic> &#x3d; 0.006) in the group of participants assigned to the 10,000 IU/day group (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flowchart of the study design. ITT: intention to treat.</p>
</caption>
<graphic xlink:href="fphar-13-863587-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline clinical and biochemical characteristics in hospitalized patients with COVID-19 who received 2000 IU/day and 10,000IU/day of cholecalciferol.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Characteristics</th>
<th align="center">Overall</th>
<th colspan="2" align="center">Treatment Group</th>
</tr>
<tr>
<th align="center">(<italic>n</italic> &#x3d; 85)</th>
<th align="center">2000 UI/day (<italic>n</italic> &#x3d; 44)</th>
<th align="center">10,000 UI/day (<italic>n</italic> &#x3d; 41)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (years), median (IQR)</td>
<td align="center">65 (53&#x2013;74)</td>
<td align="center">64 (44&#x2013;72)</td>
<td align="center">67 (58&#x2013;75)</td>
</tr>
<tr>
<td align="left">Time from symptoms onset to hospital admission (days), media (IQR)</td>
<td align="center">7 (6&#x2013;10)</td>
<td align="center">7 (6&#x2013;10)</td>
<td align="center">7 (6&#x2013;10)</td>
</tr>
<tr>
<td colspan="4" align="left">Sex</td>
</tr>
<tr>
<td align="left">&#x2003;Men&#x2014; no. (%)</td>
<td align="center">60 (71%)</td>
<td align="center">30 (68%)</td>
<td align="center">30 (73%)</td>
</tr>
<tr>
<td align="left">&#x2003;Women&#x2014; no. (%)</td>
<td align="center">25 (29%)</td>
<td align="center">14 (32%)</td>
<td align="center">11 (27%)</td>
</tr>
<tr>
<td colspan="4" align="left">Ethnicity</td>
</tr>
<tr>
<td align="left">&#x2003;Spanish&#x2014; no. (%)</td>
<td align="center">68 (80%)</td>
<td align="center">33 (75%)</td>
<td align="center">35 (85%)</td>
</tr>
<tr>
<td align="left">&#x2003;African&#x2014; no. (%)</td>
<td align="center">1 (1%)</td>
<td align="center">1 (2%)</td>
<td align="center">0 (0%)</td>
</tr>
<tr>
<td align="left">&#x2003;Latin-American&#x2014; no. (%)</td>
<td align="center">14 (16%)</td>
<td align="center">8 (18%)</td>
<td align="center">6 (15%)</td>
</tr>
<tr>
<td align="left">&#x2003;Asian&#x2014; no. (%)</td>
<td align="center">1 (1%)</td>
<td align="center">1 (2%)</td>
<td align="center">0 (0%)</td>
</tr>
<tr>
<td align="left">&#x2003;Arabic&#x2014; no. (%)</td>
<td align="center">1 (1%)</td>
<td align="center">1 (2%)</td>
<td align="center">0 (0%)</td>
</tr>
<tr>
<td colspan="4" align="left">BMI</td>
</tr>
<tr>
<td align="left">&#x2003;Baseline BMI, mean (SD)&#x2014;kg/m<sup>2</sup>
</td>
<td align="center">30.2 (4.6)</td>
<td align="center">30.6 (4.8)</td>
<td align="center">29.7 (4.3)</td>
</tr>
<tr>
<td colspan="4" align="left">Classification by BMI</td>
</tr>
<tr>
<td align="left">&#x2003;Normal Weight (18-5&#x2013;24.99) &#x2014; no. (%)</td>
<td align="center">7 (8%)</td>
<td align="center">4 (9%)</td>
<td align="center">3 (7%)</td>
</tr>
<tr>
<td align="left">&#x2003;Overweight (25&#x2013;25.9) &#x2014; no. (%)</td>
<td align="center">32 (38%)</td>
<td align="center">15 (34%)</td>
<td align="center">17 (41%)</td>
</tr>
<tr>
<td align="left">&#x2003;Obesity (&#x3e;30) &#x2014; no. (%)</td>
<td align="center">46 (54%)</td>
<td align="center">25 (57%)</td>
<td align="center">21 (51%)</td>
</tr>
<tr>
<td colspan="4" align="left">Tobacco use</td>
</tr>
<tr>
<td align="left">&#x2003;Former&#x2014; no. (%)</td>
<td align="center">25 (29%)</td>
<td align="center">13 (30%)</td>
<td align="center">12 (29%)</td>
</tr>
<tr>
<td align="left">&#x2003;Consumer&#x2014; no. (%)</td>
<td align="center">3 (4%)</td>
<td align="center">1 (2%)</td>
<td align="center">2 (5%)</td>
</tr>
<tr>
<td colspan="4" align="left">Alcohol consumption</td>
</tr>
<tr>
<td align="left">&#x2003;Former&#x2014; no. (%)</td>
<td align="center">4 (5%)</td>
<td align="center">2 (5%)</td>
<td align="center">2 (5%)</td>
</tr>
<tr>
<td align="left">&#x2003;Consumer&#x2014; no. (%)</td>
<td align="center">9 (11%)</td>
<td align="center">4 (9%)</td>
<td align="center">5 (12%)</td>
</tr>
<tr>
<td colspan="4" align="left">Coexisting conditions</td>
</tr>
<tr>
<td align="left">&#x2003;Hypertension&#x2014; no. (%)</td>
<td align="center">41 (48%)</td>
<td align="center">18 (41%)</td>
<td align="center">23 (56%)</td>
</tr>
<tr>
<td align="left">&#x2003;Dyslipidaemia&#x2014; no. (%)</td>
<td align="center">31 (36%)</td>
<td align="center">12 (27%)</td>
<td align="center">19 (46%)</td>
</tr>
<tr>
<td align="left">&#x2003;Diabetes&#x2014; no. (%)</td>
<td align="center">19 (22%)</td>
<td align="center">8 (18%)</td>
<td align="center">11 (27%)</td>
</tr>
<tr>
<td colspan="4" align="left">Pneumonia at Rx</td>
</tr>
<tr>
<td align="left">&#x2003;Unilateral&#x2014; no. (%)</td>
<td align="center">12 (14%)</td>
<td align="center">7 (16%)</td>
<td align="center">5 (12%)</td>
</tr>
<tr>
<td align="left">&#x2003;Bilateral&#x2014; no. (%)</td>
<td align="center">73 (86%)</td>
<td align="center">37 (84%)</td>
<td align="center">36 (88%)</td>
</tr>
<tr>
<td colspan="4" align="left">Ventilatory support</td>
</tr>
<tr>
<td align="left">&#x2003;Nasal glasses&#x2014; no. (%)</td>
<td align="center">72 (85%)</td>
<td align="center">37 (84%)</td>
<td align="center">35 (85%)</td>
</tr>
<tr>
<td align="left">&#x2003;Reservoir&#x2014; no. (%)</td>
<td align="center">13 (15%)</td>
<td align="center">7 (16%)</td>
<td align="center">6 (15%)</td>
</tr>
<tr>
<td colspan="4" align="left">Blood biochemistry data</td>
</tr>
<tr>
<td align="left">&#x2003;Vitamin D, mean (SD)&#x2014;ng/mL</td>
<td align="center">14.8 (6.2)</td>
<td align="center">14.3 (6.2)</td>
<td align="center">15.3 (6.3)</td>
</tr>
<tr>
<td align="left">&#x2003;Calcium, mean (SD)&#x2014; mg/dL</td>
<td align="center">8.7 (0.4)</td>
<td align="center">8.7 (0.4)</td>
<td align="center">8.7 (0.5)</td>
</tr>
<tr>
<td align="left">&#x2003;Phosphate, mean (SD)&#x2014; mg/dL</td>
<td align="center">3.2 (0.6)</td>
<td align="center">3.2 (0.6)</td>
<td align="center">3.4 (0.7)</td>
</tr>
<tr>
<td colspan="4" align="left">Treatment</td>
</tr>
<tr>
<td align="left">&#x2003;Dexamethasone&#x2014; no. (%)</td>
<td align="center">58 (62%)</td>
<td align="center">29 (66%)</td>
<td align="center">29 (71%)</td>
</tr>
<tr>
<td align="left">&#x2003;Methylprednisolone&#x2014; no. (%)</td>
<td align="center">21 (25%)</td>
<td align="center">10 (23%)</td>
<td align="center">11 (27%)</td>
</tr>
<tr>
<td align="left">&#x2003;Tocilizumab&#x2014; no. (%)</td>
<td align="center">21 (25%)</td>
<td align="center">9 (20%)</td>
<td align="center">12 (29%)</td>
</tr>
<tr>
<td align="left">&#x2003;Remdesivir&#x2014; no. (%)</td>
<td align="center">13 (15%)</td>
<td align="center">9 (20%)</td>
<td align="center">4 (10%)</td>
</tr>
<tr>
<td align="left">&#x2003;Heparin&#x2014; no. (%)</td>
<td align="center">73 (86%)</td>
<td align="center">37 (84%)</td>
<td align="center">36 (88%)</td>
</tr>
<tr>
<td align="left">&#x2003;Ceftriaxone&#x2014; no. (%)</td>
<td align="center">50 (59%)</td>
<td align="center">24 (55%)</td>
<td align="center">26 (63%)</td>
</tr>
<tr>
<td align="left">&#x2003;Azithromycin&#x2014; no. (%)</td>
<td align="center">37 (44%)</td>
<td align="center">20 (45%)</td>
<td align="center">17 (41%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IQR, interquartile range; SD, standard deviation; no., number. There were no differences between treatment groups.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Vitamin D Serum Levels</title>
<p>At the entry in the study, mean serum 25(OH)D levels were very similar in both treatment group (<xref ref-type="table" rid="T1">Table 1</xref>). After supplementation, target serum 25(OH)D level (&#x2265;30&#xa0;ng/ml) was reached by 7 (16%) participants in the moderate dose group and 20 (49%) in the high dose group (<italic>p</italic> &#x3d; 0.0021). The mixed-design ANOVA showed a statistically significant interaction between measurement times and treatment groups: F<sub>2.162</sub> &#x3d; 25.02, <italic>p</italic> &#x3c; 0.001 and time: F<sub>2.162</sub> &#x3d; 106.21, <italic>p</italic> &#x3c; 0.001 in the serum 25(OH)D levels (<xref ref-type="fig" rid="F2">Figure 2A</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Quantification of serum 25-hydroxyvitamin D (25(OH)D) levels (mg/ml) <bold>(A)</bold>, calcium level (mg/dl) <bold>(B)</bold>, and phosphate level (mg/dl) <bold>(C)</bold> in hospitalized patients with COVID-19 who received 2000 IU/day and 10,000IU/day of cholecalciferol measured at baseline (day 0) and after 7 and 14 days of treatment. The results are presented as means &#xb1;95% of confidence intervals.</p>
</caption>
<graphic xlink:href="fphar-13-863587-g002.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Calcium and Phosphate Serum Levels</title>
<p>Basal calcium levels were 8.7&#xa0;mg/dl (SD: 0.4) in the moderate dose group and 8.7&#xa0;mg/dl (SD: 0.5) in the high dose group (<xref ref-type="table" rid="T1">Table 1</xref>). Basal phosphate levels were 3.2&#xa0;mg/dl (SD: 0.6) in the 2000 IU/day group and 3.4&#xa0;mg/dl (SD: 0.7) in the 10,000 IU/day group (<xref ref-type="table" rid="T1">Table 1</xref>). The mixed-design ANOVA did not identify statistically significant interaction between measurement times and treatment groups in serum calcium: F<sub>2.160</sub> &#x3d; 1.52, <italic>p</italic> &#x3d; 0.22 (<xref ref-type="fig" rid="F2">Figure 2B</xref>) or phosphate: F<sub>2.158</sub> &#x3d; 0.24, <italic>p</italic> &#x3d; 0.79 (<xref ref-type="fig" rid="F2">Figure 2C</xref>) levels, respectively. No episodes of hypercalcemia, hypercalciuria or hyperphosphatemia occurred among the participants in either group as a consequence of the treatment with cholecalciferol.</p>
</sec>
<sec id="s3-4">
<title>Length of the Hospital Stay and ARDS Development</title>
<p>LOS was similar in both groups, 7 days (IQR: 4&#x2013;9) among the participants who received 2000 IU/day and 7 days (IQR: 4&#x2013;8) in those who received 10,000 IU/day, without significant differences between groups (<xref ref-type="table" rid="T2">Table 2</xref>). Multivariable analysis of predictors associated with the LOS is shown in <xref ref-type="table" rid="T3">Table 3</xref>. We identified that only supplementation with 10,000 IU/day of vitamin D <italic>versus</italic> 2000 IU/day (<italic>p</italic> &#x3d; 0.01) was associated with a decrease in the LOS, while factors such as age (<italic>p</italic> &#x3c; 0.001), male gender (<italic>p</italic> &#x3d; 0.01), high oxygen needs at admission (<italic>p</italic> &#x3d; 0.001), development of ARDS (<italic>p</italic> &#x3c; 0.001) and the treatment with corticosteroids (<italic>p</italic> &#x3d; 0.002) were correlated with a significant increase in the LOS. During the study, 10 (12%) participants developed ARDS. Of them, 6 (14%) participants had been randomly assigned to the 2000 IU/day group and 4 (10%) patients to the 10,000 IU/day group (<xref ref-type="table" rid="T2">Table 2</xref>). The analysis of the predictors related to the development of ARDS showed that female gender (<italic>p</italic> &#x3d; 0.049), high oxygen requirements on admission (<italic>p</italic> &#x3d; 0.001) and D-dimer levels &#x3e;0.5&#xa0;&#x3bc;g/ml at entry (<italic>p</italic> &#x3d; 0.047) were associated with significant risk (<xref ref-type="table" rid="T4">Table 4</xref>). According to ARDS, LOS was significantly different in the groups of vitamin D<sub>3</sub> supplementation. Those patients who received 2000 IU/day and developed ARDS stayed at the hospital a median of 27 days (IQR: 12&#x2013;45), whereas the participants who received 10,000 IU/day stayed 7 days (IQR: 4&#x2013;13) (<italic>p</italic> &#x3d; 0.04) (<xref ref-type="table" rid="T5">Table 5</xref>). In those participants who developed ARDS, the analysis of the needs for non-invasive mechanical ventilation (NIV) between the groups was not significantly different (<italic>n</italic> &#x3d; 3 in 2000 IU/day group vs<italic>. n</italic> &#x3d; 1 in 10,000 IU/day group). Similarly, there were no significant differences among these participants in the ICU admission rate (<italic>n</italic> &#x3d; 5 in the 2000 IU/day group vs<italic>. n</italic> &#x3d; 1 in the 10,000 IU/day group) (<xref ref-type="table" rid="T5">Table 5</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Clinical characteristics in hospitalized patients with COVID-19 who received 2000 IU/day and 10,000IU/day of cholecalciferol.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Characteristics</th>
<th align="center">Overall</th>
<th colspan="2" align="center">Treatment Group</th>
</tr>
<tr>
<th align="center">(<italic>n</italic> &#x3d; 85)</th>
<th align="center">2000 UI/day (<italic>n</italic> &#x3d; 44)</th>
<th align="center">10,000 UI/day (<italic>n</italic> &#x3d; 41)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Length of hospital stay (days), median (IQR)</td>
<td align="center">7 (4&#x2013;8)</td>
<td align="center">7 (4&#x2013;9)</td>
<td align="center">7 (4&#x2013;8)</td>
</tr>
<tr>
<td align="left">ARDS&#x2014; no. (%)</td>
<td align="center">10 (12%)</td>
<td align="center">6 (14%)</td>
<td align="center">4 (10%)</td>
</tr>
<tr>
<td align="left">Admission to ICU&#x2014; no. (%)</td>
<td align="center">6 (7%)</td>
<td align="center">5 (11%)</td>
<td align="center">1 (2%)</td>
</tr>
<tr>
<td align="left">In-hospital mortality&#x2014; no. (%)</td>
<td align="center">2 (2%)</td>
<td align="center">1 (2%)</td>
<td align="center">1 (2%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ARDS, acute respiratory distress syndrome; ICU, intensive care unit; IQR, interquartile range; no., number. There were no differences between treatment groups.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Multivariable analysis predicting factors associated with the length of hospital stay (LOS) in hospitalized patients with COVID-19.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variables</th>
<th colspan="3" align="center">Multivariable</th>
</tr>
<tr>
<th align="center">&#x3b2; Coefficient</th>
<th align="center">95% CI</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age</td>
<td align="char" char=".">0.02</td>
<td align="center">0.01&#x2013;0.02</td>
<td align="char" char=".">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Male gender</td>
<td align="char" char=".">0.3</td>
<td align="center">0.06&#x2013;0.58</td>
<td align="char" char=".">
<bold>0.01</bold>
</td>
</tr>
<tr>
<td align="left">Radiologic score</td>
<td align="char" char=".">&#x2212;0.04</td>
<td align="char" char=".">&#x2212;0.12&#x2013;0.02</td>
<td align="char" char=".">0.2</td>
</tr>
<tr>
<td align="left">Oxygen flow at entry</td>
<td align="char" char=".">0.06</td>
<td align="center">0.03&#x2013;0.09</td>
<td align="char" char=".">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td align="left">ARDS</td>
<td align="char" char=".">0.8</td>
<td align="center">0.4&#x2013;1.2</td>
<td align="char" char=".">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Vitamin D; 10,000 UI/day dose</td>
<td align="char" char=".">&#x2212;0.3</td>
<td align="char" char=".">&#x2212;0.6&#x2013;-0.065</td>
<td align="char" char=".">
<bold>0.01</bold>
</td>
</tr>
<tr>
<td align="left">Dexamethasone</td>
<td align="char" char=".">0.6</td>
<td align="center">0.2&#x2013;1.0</td>
<td align="char" char=".">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td align="left">Methylprednisolone</td>
<td align="char" char=".">0.7</td>
<td align="center">0.2&#x2013;1.1</td>
<td align="char" char=".">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td align="left">Tocilizumab</td>
<td align="char" char=".">0.2</td>
<td align="char" char=".">&#x2212;0.062&#x2013;0.5</td>
<td align="char" char=".">
<bold>0.1</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ARDS, acute respiratory distress syndrome; CPR, C reactive protein; LDH, lactate dehydrogenase. 95% CI, 95% confidence interval. The variable LOS was transformed into a natural logarithm to adjust to a linear model. Statistical significance is indicated in bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Predictive factors related to acute respiratory distress syndrome (ARDS) in hospitalized patients with COVID-19.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variables</th>
<th colspan="3" align="center">Multivariable</th>
</tr>
<tr>
<th align="center">OR</th>
<th align="center">95% CI</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Female</td>
<td align="char" char=".">6.1</td>
<td align="center">1.0&#x2013;37.0</td>
<td align="char" char=".">
<bold>0.049</bold>
</td>
</tr>
<tr>
<td align="left">Oxygen flow at entry</td>
<td align="char" char=".">1.5</td>
<td align="center">1.2&#x2013;1.8</td>
<td align="char" char=".">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td align="left">Basal LDH, &#x3e;225 U/L</td>
<td align="char" char=".">0.1</td>
<td align="center">0.007&#x2013;2.668</td>
<td align="char" char=".">0.1</td>
</tr>
<tr>
<td align="left">Basal D-Dimer, &#x3e;0.5&#xa0;&#x3bc;g/ml</td>
<td align="char" char=".">0.98</td>
<td align="center">0.976&#x2013;0.999</td>
<td align="char" char=".">0.047</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CPR, C reactive protein; LDH, lactate dehydrogenase; OR, odds ratio; 95% CI, 95% confidence interval. Statistical significance is indicated in bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Clinical characteristics in hospitalized patients with COVID-19 who developed acute respiratory distress syndrome (ARDS) during treatment with 2000 IU/day or 10,000IU/day of cholecalciferol.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Clinical Characteristics</th>
<th colspan="2" align="center">Treatment Group</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th align="center">2000 UI/day (n &#x3d; 6)</th>
<th align="center">10,000 UI/day (n &#x3d; 4)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Length of hospital stay (days), median (IQR)</td>
<td align="center">27 (12&#x2013;45)</td>
<td align="center">7 (4&#x2013;13)</td>
<td align="char" char=".">
<bold>0.04</bold>
</td>
</tr>
<tr>
<td align="left">Non-invasive mechanical ventilation&#x2014; no. (%)</td>
<td align="center">3 (50%)</td>
<td align="center">1 (25%)</td>
<td align="char" char=".">0.57</td>
</tr>
<tr>
<td align="left">ICU admisssion &#x2014; no. (%)</td>
<td align="center">5 (83%)</td>
<td align="center">1 (25%)</td>
<td align="char" char=".">0.19</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ICU, intensive care unit; IQR, interquartile range; no., number. Statistical significance is indicated in bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-5">
<title>Oxygen Supplementation</title>
<p>At the beginning of the study, all participants required supplemental oxygen. Of them, 37 (84%) participants in the 2000&#xa0;IU/day group and 35 (85%) participants in the 10,000&#xa0;IU/day needed nasal prongs, whereas 7 (16%) participants in the 2000 IU/day group and 6 (15%) in the 10,000&#xa0;IU/day group needed reservoir masks (<xref ref-type="table" rid="T1">Table 1</xref>). During the study, the supplemental oxygen therapy varied from NIV, high-flow nasal cannulae, reservoir masks, or nasal goggles to participants without oxygen requirements, although there were no significant differences between the groups after 7 or 14 days (<xref ref-type="table" rid="T6">Table 6</xref>). The analysis of the oxygen requirements after 14 days, measured by FiO<sub>2,</sub> was significantly reduced 7.6-fold in the high dose group compared to the moderate dose group (<italic>p</italic> &#x3d; 0.049).</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Oxygen therapies in hospitalized patients with COVID-19 after 7 and 14 days of treatment with 2000 IU/day or 10,000IU/day of cholecalciferol.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="3" align="left">Ventilatory Support</th>
<th colspan="4" align="center">Treatment Group</th>
<th rowspan="3" align="center">Between groups p-value<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th rowspan="3" align="center">Between groups p-value<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</th>
</tr>
<tr>
<th colspan="2" align="center">2000 UI/day (<italic>n</italic> &#x3d; 44)</th>
<th colspan="2" align="center">10,000 UI/day (<italic>n</italic> &#x3d; 41)</th>
</tr>
<tr>
<th align="center">7 days</th>
<th align="center">14 days</th>
<th align="center">7 days</th>
<th align="center">14 days</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">No oxygen &#x2014; no. (%)</td>
<td align="center">35 (80%)</td>
<td align="center">39 (89%)</td>
<td align="center">30 (73%)</td>
<td align="center">40 (98%)</td>
<td align="char" char=".">0.77</td>
<td align="char" char=".">0.22</td>
</tr>
<tr>
<td align="left">Nasal glasses &#x2014; no. (%)</td>
<td align="center">5 (11%)</td>
<td align="center">1 (2%)</td>
<td align="center">8 (20%)</td>
<td align="center">0 (0%)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Reservoir &#x2014; no. (%)</td>
<td align="center">2 (5%)</td>
<td align="center">0 (0%)</td>
<td align="center">1 (2%)</td>
<td align="center">1 (2%)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">High-flow nasal cannulae &#x2014; no. (%)</td>
<td align="center">2 (5%)</td>
<td align="center">1 (2%)</td>
<td align="center">1 (2%)</td>
<td align="center">0 (0%)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Non-invasive mechanical ventilation &#x2014; no. (%)</td>
<td align="center">0 (0%)</td>
<td align="center">3 (7%)</td>
<td align="center">0 (0%)</td>
<td align="center">0 (0%)</td>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>After 7 days.</p>
</fn>
<fn id="Tfn2">
<label>b</label>
<p>After 14 days.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-6">
<title>Body Mass Index</title>
<p>In the group of participants who received 2000&#xa0;IU/day, mean BMI was 30.6 (SD: 4.8) and overweight (OW) was identified in 40 patients, of whom 25 (57%) were obese. Among the participants who received 10,000 IU/day, mean BMI was 29.7 (SD: 4.3) and OW was found in 38 participants, being 21 (51%) classified as obese (<xref ref-type="table" rid="T1">Table 1</xref>). After 7&#xa0;days of supplementation, there was a non-significant trend between the moderate dose group and the high dose group both normal-weight (<xref ref-type="fig" rid="F3">Figure 3A</xref>) and obese (<xref ref-type="fig" rid="F3">Figure 3C</xref>) participants. In contrast, the vitamin D levels of OW participants in the high dose group were significantly higher compared to participants of the moderate group (<italic>p</italic> &#x3d; 0.005) (<xref ref-type="fig" rid="F3">Figure 3B</xref>). At the end of supplementation (14 days), serum vitamin D levels in normal-weight participants remained with a non-significant trend between treatment groups (<xref ref-type="fig" rid="F3">Figure 3A</xref>) and significantly increased in OW (<italic>p</italic> &#x3c; 0.0001) and obese (<italic>p</italic> &#x3c; 0.0001) participants (<xref ref-type="fig" rid="F3">Figures 3B,C</xref>). The mixed-design ANOVA showed a statistically significant interaction between measurement times and treatment groups: F<sub>2.162</sub> &#x3d; 25.02, <italic>p</italic> &#x3c; 0.001 and time: F<sub>2.162</sub> &#x3d; 106.21, <italic>p</italic> &#x3c; 0.001 in the serum 25(OH)D levels (<xref ref-type="fig" rid="F2">Figure 2A</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Quantification of serum 25-hydroxyvitamin D (25(OH)D) levels in hospitalized patients with COVID-19 who received 2000 IU/day and 10,000IU/day of cholecalciferol classified by the body mass index in normal-weight (BMI:18-5&#x2013;24.99), overweight (BMI: 25.0&#x2013;29.9) and obese (BMI &#x2265;30) participants measured at baseline (day 0) and after 7 and 14&#xa0;days of treatment. The results are presented as means &#xb1;95% of confidence intervals.</p>
</caption>
<graphic xlink:href="fphar-13-863587-g003.tif"/>
</fig>
</sec>
<sec id="s3-7">
<title>Serological Parameters</title>
<p>We analyzed the serological biomarkers related to inflammation and considered them as prognostic factors for COVID-19 severity. LDH levels decreased significantly 1.18- (<italic>p</italic> &#x3d; 0.0023) and 1.29- (<italic>p</italic> &#x3c; 0.0001) fold in the moderate group after 7 and 14&#xa0;days, respectively (<xref ref-type="fig" rid="F4">Figure 4A</xref>). Similarly, in the high dose group, LDH levels were significantly reduced 1.23-fold (<italic>p</italic> &#x3c; 0.0001) and 1.34-fold (<italic>p</italic> &#x3c; 0.0001) after 7 and 14&#xa0;days, respectively. Ferritin levels also showed a significant reduction of 1.39-fold after 7&#xa0;days of treatment (<italic>p</italic> &#x3d; 0.0013) and 1.96-fold (<italic>p</italic> &#x3c; 0.0001) after 14 days of treatment in the moderate dose group, whereas it was reduced 1.15-fold (<italic>p</italic> &#x3d; 0.0033) and 1.66-fold (<italic>p</italic> &#x3c; 0.0001) in the high dose group after 7 and 14&#xa0;days of treatment, respectively (<xref ref-type="fig" rid="F4">Figure 4B</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Serological biomarkers related to the inflammation in samples of hospitalized patients with COVID-19 who received 2000 IU/day and 10,000IU/day of cholecalciferol. Levels (U/L) of lactate dehydrogenase (LDH) <bold>(A)</bold>, levels (ng/ml) of ferritin <bold>(B)</bold>, levels (mg/L) of C-reactive protein [CRP] <bold>(C)</bold>, levels (&#xb5;L/ml) of D-Dimer <bold>(D)</bold> and platelet count (mil/&#xb5;l) <bold>(E)</bold> were quantified at baseline (day 0), 7 and 14 days of treatment. The results are presented as means &#xb1;95% of confidence intervals.</p>
</caption>
<graphic xlink:href="fphar-13-863587-g004.tif"/>
</fig>
<p>CRP levels were significantly reduced 8.20-fold (<italic>p</italic> &#x3c; 0.0001) after 7&#xa0;days and 8.34-fold (<italic>p</italic> &#x3c; 0.0001) after 14&#xa0;days in the 2000 IU/day group, whereas they were reduced 7.47- (<italic>p</italic> &#x3c; 0.0001) and 6.96- (<italic>p</italic> &#x3c; 0.0001) fold in the 10,000 IU/day group after 7 and 14 days, respectively (<xref ref-type="fig" rid="F4">Figure 4C</xref>). D-Dimer levels remained unchanged in the moderate dose group after 7 days of treatment and increased slightly after 14 days, but without statistical significance, whereas in the high dose group D-dimer remained unchanged after 7 and 14 days (<xref ref-type="fig" rid="F4">Figure 4D</xref>). In the case of platelet count, the levels detected increased significantly after 7 days of treatment (<italic>p</italic> &#x3c; 0.0001) in both groups, but decreased to basal levels in both moderate and high dose groups after 14 days of treatment, without statistical significance (<xref ref-type="fig" rid="F4">Figure 4E</xref>). The analysis of the comparisons over time did not show significant differences in LDH, ferritin, CPR or D-dimer serum levels, although it was significantly different for the platelet count (<italic>p</italic> &#x3d; 0.049).</p>
</sec>
<sec id="s3-8">
<title>Safety</title>
<p>Thirteen different adverse events were documented in the study participants during the study: 7 adverse events occurred in the 2000 IU/day group and 8 in the 10,000 IU/day group, although none of them was directly attributed to the administration of cholecalciferol (<xref ref-type="table" rid="T7">Table 7</xref>). The total number of participants experiencing adverse events was 17 in both groups, being 9 (20%) in the moderate dose group and 8 (20%) in the high dose group, without statistically significant differences between groups. The most frequent adverse events recorded were pulmonary embolism (n &#x3d; 3; 4%) and urinary tract infections (n &#x3d; 3; 4%), which were diagnosed after hospital discharge.</p>
<table-wrap id="T7" position="float">
<label>TABLE 7</label>
<caption>
<p>Adverse events in hospitalized patients with COVID-19 who received 2000 IU/day and 10,000IU/day of cholecalciferol.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Adverse Events</th>
<th colspan="2" align="center">Treatment Group</th>
</tr>
<tr>
<th align="center">2000 UI/day (<italic>n</italic> &#x3d; 44)</th>
<th align="center">10,000 UI/day (<italic>n</italic> &#x3d; 41)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Cytolysis&#x2014; no. (%)</td>
<td align="center">1 (2%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Diarrhea&#x2014; no. (%)</td>
<td align="center">1 (2%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Pulmonary embolism&#x2014; no. (%)</td>
<td align="center">2 (5%)</td>
<td align="center">1 (2%)</td>
</tr>
<tr>
<td align="left">Neuropathy&#x2014; no. (%)</td>
<td align="center">1 (2%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Urinary (tract) infection&#x2014; no. (%)</td>
<td align="center">2 (5%)</td>
<td align="center">1 (2%)</td>
</tr>
<tr>
<td align="left">Thyroiditis&#x2014; no. (%)</td>
<td align="center">1 (2%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Hypertriglyceridemia&#x2014; no. (%)</td>
<td align="center">1 (2%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Bacteremia&#x2014; no. (%)</td>
<td align="left"/>
<td align="center">1 (2%)</td>
</tr>
<tr>
<td align="left">Diabetes&#x2014; no. (%)</td>
<td align="left"/>
<td align="center">1 (2%)</td>
</tr>
<tr>
<td align="left">Renal infarction&#x2014; no. (%)</td>
<td align="left"/>
<td align="center">1 (2%)</td>
</tr>
<tr>
<td align="left">Bacterial pneumonia&#x2014; no. (%)</td>
<td align="left"/>
<td align="center">1 (2%)</td>
</tr>
<tr>
<td align="left">Tachycardia&#x2014; no. (%)</td>
<td align="left"/>
<td align="center">1 (2%)</td>
</tr>
<tr>
<td align="left">Thrombocytopenia&#x2014; no. (%)</td>
<td align="left"/>
<td align="center">1 (2%)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Vitamin D is a fat-soluble secosteroid hormone with a well-defined spectrum of immunomodulatory, anti-inflammatory, and antioxidant actions (<xref ref-type="bibr" rid="B10">Ebadi and Montano-Loza, 2020</xref>). Its deficiency is considered a public health issue that has been identified in over half of the population worldwide in people of all age groups (<xref ref-type="bibr" rid="B46">Rubin, 2021</xref>). Vitamin D deficiency has been associated not only with non-communicable diseases but also with increased susceptibility to infectious diseases; especially, upper respiratory tract infections (RTI) (<xref ref-type="bibr" rid="B4">Cannell et al., 2006</xref>; <xref ref-type="bibr" rid="B13">Ginde et al., 2009</xref>) and higher risk of community-acquired pneumonia (<xref ref-type="bibr" rid="B59">Zdrenghea et al., 2017</xref>; <xref ref-type="bibr" rid="B60">Zhou et al., 2019</xref>). Similarly, there is now sufficient evidence to support that vitamin D deficiency may predispose to SARS-CoV-2 infection and increase COVID-19 severity and mortality (<xref ref-type="bibr" rid="B44">Rhodes et al., 2021</xref>; <xref ref-type="bibr" rid="B48">Seal et al., 2022</xref>; <xref ref-type="bibr" rid="B54">Wang et al., 2022</xref>) due to several mechanisms: first, vitamin D reduces lung permeability by modulating the renin-angiotensin system (RAS) pathway and angiotensin converting enzyme 2 (ACE2) expression; second, it promotes the production of antimicrobial peptides in the epithelium of the respiratory tract, thereby reducing the possibility of virus infection and COVID-19 symptoms; third, vitamin D favours an anti-inflammatory environment, mostly by reducing the concentration of pro-inflammatory cytokines such as tumor necrosis factor (TNF)-&#x3b1; and IFN&#x3b3; and by increasing the expression of anti-inflammatory cytokines by macrophages; and finally, vitamin D stabilizes the physical barriers by contributing to the maintenance of functional tight junctions, gap junctions and adherence junctions (<xref ref-type="bibr" rid="B41">Pedersen et al., 2009</xref>; <xref ref-type="bibr" rid="B2">Baeke et al., 2010</xref>). On the other hand, COVID-19 is characterized by the dysregulation of the inflammatory response, especially the RAS pathway. Consequently, the degree of immune overactivation has been associated with a poorer prognosis (<xref ref-type="bibr" rid="B22">Hu et al., 2021</xref>). Accordingly, the use of anti-inflammatory drugs during COVID-19 has been proved to be beneficial, as occurs with corticosteroids (<xref ref-type="bibr" rid="B8">Recovery Collaborative Group et al., 2021</xref>).</p>
<p>Vitamin D deficiency has been linked to geographical differences in ARDS and COVID-19 mortality (<xref ref-type="bibr" rid="B29">Marik et al., 2020</xref>). Therefore, vitamin D<sub>3</sub> supplementation could be used prophylactically to reduce the severity of COVID-19, especially in those regions where hypovitaminosis D is frequent (<xref ref-type="bibr" rid="B39">Panarese and Shahini, 2020</xref>). Despite Spain is a country with an adequate amount of daily sunlight, the overall vitamin D intake is lower than the recommended levels of 10&#xa0;&#xb5;g/day and consequently, the prevalence of deficient 25(OH)D levels among the Spanish population is high (<xref ref-type="bibr" rid="B15">Gonz&#xe1;lez-Rodr&#xed;guez et al., 2013</xref>; <xref ref-type="bibr" rid="B37">Olza et al., 2017</xref>). Indeed, 78.8% of the participants recruited for our study showed basal 25(OH)D serum levels &#x3c;20&#xa0;ng/ml (50&#xa0;nmol/L). A similar study that was performed in adults who were hospitalized for mild to moderate COVID-19 and were supplemented with a 5,000 IU/day dose of vitamin D<sub>3</sub> during the same time (14 days), serum 25(OH)D levels raised to sufficiency (&#x2265;30&#xa0;ng/ml) (<xref ref-type="bibr" rid="B47">Sabico et al., 2021</xref>). However, these individuals were younger than our cohort and showed median baseline serum 25(OH)D levels that were substantially higher. Accordingly, we decided to provide a higher dose of cholecalciferol (10,000 IU) that was administered daily due to the protective effects are expected to be higher when the individuals received daily or weekly doses versus high dose boluses (<xref ref-type="bibr" rid="B31">Martineau et al., 2019</xref>). After the daily supplementation of 10,000 IU cholecalciferol for 14 days, 93% of the participants achieved an increase of serum 25(OH)D levels &#x2265;20&#xa0;ng/ml versus 32% of the individuals who received the 2000 IU/day dose. Although there was a significant 1.5-fold increase of serum 25(OH)D levels that were close to sufficiency in those participants who received the higher dose of cholecalciferol (29&#xa0;ng/ml; IQR: 25&#x2013;34) in comparison to those participants that received the moderate dose (17&#xa0;ng/ml; IQR: 14&#x2013;23), the primary outcome of a serum 25(OH)D concentration &#x2265;30&#xa0;ng/ml after 14 days of treatment was not achieved. This could be due to 25 [OH]D is a negative component of the acute phase response (<xref ref-type="bibr" rid="B53">Waldron et al., 2013</xref>; <xref ref-type="bibr" rid="B49">Silva and Furlanetto, 2015</xref>) and it is usually reduced during acute inflammatory procedures such as COVID-19 (<xref ref-type="bibr" rid="B1">Antonelli and Kushner, 2021</xref>). In fact, the deficiency of vitamin D at hospital admission in individuals with COVID-19 has been appointed as a potential prognostic marker of disease severity that would indicate the progression to the inflammatory form of the disease (<xref ref-type="bibr" rid="B7">Chiodini et al., 2021</xref>; <xref ref-type="bibr" rid="B48">Seal et al., 2022</xref>). Accordingly, the achievement of the primary endpoint of &#x3e;30&#xa0;ng/ml of 25 [OH]D in individuals with COVID-19 may be impaired due to the inflammatory process, even with the higher dose of 10,000 IU/day. However, we determined that the administration of the higher dose of 10,000 IU/day was safe and well tolerated by all the participants in the study as we did not observe episodes of hypercalcemia, hypercalciuria, or hyperphosphatemia that are considered to be the initial signs of vitamin D intoxication, or any other related adverse events.</p>
<p>Previous data from other intervention trials showed a preventive effect of vitamin D<sub>3</sub> supplementation in acute RTIs that was increased in patients with vitamin D deficiency (<xref ref-type="bibr" rid="B30">Martineau et al., 2017</xref>; <xref ref-type="bibr" rid="B25">Jolliffe et al., 2021</xref>). However, in individuals hospitalized with COVID-19, the clinical effects of the use of vitamin D<sub>3</sub> supplementation have yielded mixed results. A Spanish population-based study concluded that patients on cholecalciferol treatment had a lower risk of SARS-CoV2 infection, lower risk of severe COVID-19 and lower COVID-19 mortality than unsupplemented 25(OH)D-deficient patients (<xref ref-type="bibr" rid="B38">Oristrell et al., 2022</xref>), and a case-series study in COVID-19 patients who received 50,000 IU/day for 5 days showed a reduction in the inflammatory markers and time for recovery in comparison to those who received 1,000 IU/day (<xref ref-type="bibr" rid="B36">Ohaegbulam et al., 2020</xref>). Similarly, a previous RCT in Spain demonstrated that the administration of a high dose (0.532&#xa0;mg) of calcifediol (25(OH)D<sub>3</sub>) significantly reduced the need for ICU admission (<xref ref-type="bibr" rid="B11">Entrenas Castillo et al., 2020</xref>), and a placebo-controlled, double-blinded clinical trial reported that in 106 hospitalized patients, those who received vitamin D had a lower trend for hospitalization, ICU duration, need for ventilator assistance and mortality (<xref ref-type="bibr" rid="B27">Maghbooli et al., 2021</xref>). On the contrary, data from previous studies and a systematic review evaluating vitamin D<sub>3</sub> supplementation found low to moderate certainty evidence that a single high dose of vitamin D<sub>3</sub> is effective to reduce mortality, LOS, ICU admissions, and D-dimer or CRP levels (<xref ref-type="bibr" rid="B45">da Rocha et al., 2021</xref>; <xref ref-type="bibr" rid="B35">Murai et al., 2021</xref>). Our results did not report a reduction in the LOS or the ICU admissions when the administration of a high dose of vitamin D<sub>3</sub> for 14 days was compared with the administration of a moderate dose. However, the oxygen requirements measured by FiO2 were significantly reduced in those patients assigned to the high dose group, thereby confirming previous reports (<xref ref-type="bibr" rid="B36">Ohaegbulam et al., 2020</xref>). Interestingly, those participants with ARDS from our cohort who received the higher dose of vitamin D<sub>3</sub> showed a significant reduction in the LOS of 23.5 days on average in comparison with those patients who received the moderate dose. Despite the small number of patients who accelerated their recovery, these results achieved statistical significance and they were in accordance with previous studies that support that a higher vitamin D<sub>3</sub> status is associated with a significant reduction in infectivity, morbidity and mortality from SARS-CoV-2 infection (<xref ref-type="bibr" rid="B48">Seal et al., 2022</xref>; <xref ref-type="bibr" rid="B54">Wang et al., 2022</xref>) and also that treatment with vitamin D<sub>3</sub> during COVID-19 may also shorten the hospital stay and decrease mortality (<xref ref-type="bibr" rid="B14">G&#xf6;nen et al., 2021</xref>). Moreover, according to previous observations in animal models (<xref ref-type="bibr" rid="B57">Yang et al., 2016</xref>), the higher dose of vitamin D<sub>3</sub> in patients with ARDS would increase the expression levels of ACE2, inducing moderate lung changes that might contribute to reduce the symptoms of this syndrome. In our study, the potential positive effect of vitamin D<sub>3</sub> could be related to the early administration just after hospitalization, as the accelerated improvement of 25(OH)D<sub>3</sub> levels may develop an anti-inflammatory environment, thereby helping to reduce the length of stay, ICU admission, and mortality in COVID-19 patients (<xref ref-type="bibr" rid="B20">Holick, 2022</xref>). Finally, the biochemical inflammatory parameters related to poor prognosis improved mainly during the first week, regardless of the dose of vitamin D administered, as we did not observe significant changes in the serum levels of LDH, ferritin, CRP, or D-dimer serum levels between the two groups. Although the platelet count showed a modest but significant difference in those patients who were supplemented with the higher dose, these changes may not be clinically meaningful.</p>
<p>On the other hand, a high prevalence of vitamin D deficiency has been described in obese and OW patients (<xref ref-type="bibr" rid="B42">Pereira-Santos et al., 2015</xref>), likely caused by a dilution into the greater volumes of fat, serum, liver, and muscle that are present in obese individuals (<xref ref-type="bibr" rid="B52">Vrani&#x107; et al., 2019</xref>), although other mechanisms, such as the sequestration of vitamin D by the adipose tissue may not be completely discarded (<xref ref-type="bibr" rid="B56">Wortsman et al., 2000</xref>). Due to risk factors such as excess visceral fat or high BMI have been associated with a higher probability to develop more severe forms of COVID-19 (<xref ref-type="bibr" rid="B60">Zhou et al., 2019</xref>), a possible link may exists between COVID-19 severity, vitamin D deficiency and BMI. In our study, significant increases in serum 25(OH)D levels were observed among obese and OW participants who received the highest dose in comparison with those who received the moderate dose, while the serum levels in normal weight participants were not different between the groups. However, most of our participants were either OW or obese, as these factors are related to a higher probability to develop severe COVID-19. Therefore, we may not rule out that this imbalance in the BMI between the participants might be affecting the results. Accordingly, the effectiveness of vitamin D<sub>3</sub> supplementation in these individuals with high BMI to positively influence the clinical recovery from COVID-19 needs to be further analyzed by interventional studies.</p>
<p>This study presents two potential limitations. First, our study was not designed as a double-blinded RCT due to the Pharmacy services of the different hospitals needed to change the commercial medication into non-commercial syringes to be supplied to the participants that had been assigned to each treatment group, which made necessary that both the Pharmacy service and the Researchers knew the treatment group to which the participant had been assigned. Therefore, we cannot rule out that the single-blinded RCT design might have biased the assessment of more subjective parameters (e.g chest X-ray) in favour of those participants who received the high dose. On the other hand, the beneficial effect of vitamin D<sub>3</sub> supplementation over the reduction of the LOS in individuals who developed ARDS have been described in a small fraction of the participants (10/85), and although these results reached statistical significance, they need to be considered with caution until confirmation in a larger cohort.</p>
<p>In conclusion, the supplementation of a high dose of 10,000 IU/day of cholecalciferol for 14 days in hospitalized patients with COVID-19 was well tolerated and did not cause significant adverse events in comparison with the moderate dose of 2000 IU/day. The higher dose was more effective than the moderate dose to induce a significant increase of 25(OH)D levels in serum, especially in OW and obese individuals, although the participants did not achieve the target level (&#x2265;30&#xa0;ng/ml). Moreover, the results obtained in our cohort supported that a higher dose of vitamin D<sub>3</sub> supplementation in association with the standard clinical care may be effective to improve the oxygen requirements during hospitalization by COVID-19 and to reduce the LOS in those individuals who developed ARDS. Although this study supports the notion that vitamin D<sub>3</sub> supplementation during COVID-19 may be safe, tolerable and beneficial, more randomized clinical trials are needed to determine the true efficacy of vitamin D supplementation as part of the therapeutic arsenal used against COVID-19 disease.</p>
</sec>
<sec id="s5">
<title>Members of the Multidisciplinary Group of Study of COVID-19 (MGS-COVID)</title>
<p>David Alonso-Mench&#xe9;n (Hospital Universitario Pr&#xed;ncipe de Asturias), Adriana &#xc1;lvarez Jusdado (Hospital Universitario Severo Ochoa), Daniel Barranco Maroto (Hospital Universitario Severo Ochoa), Ytsel Bello Pastor (Hospital Universitario Severo Ochoa), Cristina C&#xf3;rdoba Chicote (Hospital Universitario Severo Ochoa), Guillermo Cuevas Tasc&#xf3;n (Hospital Universitario Infanta Leonor), V&#xed;ctor D&#xed;ez Vi&#xf1;as (Hospital Universitario Infanta Leonor), In&#xe9;s Dorado Manzanares (Hospital Universitario Severo Ochoa), Ismael Escobar Rodr&#xed;guez (Hospital Universitario Infanta Leonor), Eva Fonseca Aizpuri (Hospital Universitario de Cabue&#xf1;es), Rosa Mar&#xed;a Gal&#xe1;n Zuheros (Hospital Universitario Severo Ochoa), Concepci&#xf3;n Garc&#xed;a Lacalle (Hospital Universitario Severo Ochoa), Mario Garc&#xed;a Pe&#xf1;a (Hospital Universitario Severo Ochoa), Sebastiano Garotti (Hospital Universitario Severo Ochoa), Marta G&#xf3;mez Sanz (Hospital Universitario Severo Ochoa), Tamara G&#xf3;mez Zuil (Hospital Universitario Severo Ochoa), Mar&#xed;a Gonz&#xe1;lez Pozuelo (Hospital Universitario Infanta Leonor), Cristina Helguera Amezua (Hospital Universitario de Cabue&#xf1;es), Mar&#xed;a del Carmen Herrero Alonso (Hospital Universitario Fundaci&#xf3;n Alcorc&#xf3;n), Javier Marcos Arias (Hospital Universitario Fundaci&#xf3;n Alcorc&#xf3;n), Emilio Jos&#xe9; Mart&#xed;nez Mart&#xed;n (Hospital Universitario Fundaci&#xf3;n Alcorc&#xf3;n), Javier Montoya Adarraga (Hospital Universitario Infanta Leonor), Patricia Moreira Escrich (Hospital Universitario Severo Ochoa), Mar&#xed;a Jes&#xfa;s Moro &#xc1;lvarez (Hospital Universitario Infanta Leonor), Paula Novo Gonz&#xe1;lez (Hospital Universitario Severo Ochoa), Raquel Paz Pe&#xf1;o (Hospital Universitario Severo Ochoa), Alejandro P&#xe9;rez Cachaldora (Hospital Universitario Severo Ochoa), Miriam Rodr&#xed;guez Fern&#xe1;ndez (Hospital Universitario Severo Ochoa), Mar&#xed;a del Carmen Romero P&#xe9;rez (Hospital Universitario Severo Ochoa), Jos&#xe9; Sanz-Moreno (Hospital Universitario Pr&#xed;ncipe de Asturias), Mercedes Toral Leiva (Hospital Universitario Severo Ochoa), Nuria Toro Moreno (Hospital Universitario Severo Ochoa), Rafael Torres Perea (Hospital Universitario Severo Ochoa), Mar&#xed;a Velasco Arribas (Hospital Universitario Fundaci&#xf3;n Alcorc&#xf3;n), Gema Vico D&#xed;az-Parre&#xf1;o (Hospital Universitario Severo Ochoa), Ana Villanueva Fern&#xe1;ndez-Ardav&#xed;n (Hospital Universitario Fundaci&#xf3;n Alcorc&#xf3;n), Roc&#x00ED;o Minaya Carrero (Hospital Universitario Severo Ochoa), Monserrat Rodr&#x00ED;guez Miguel (Hospital Universitario Severo Ochoa).</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Spanish Agency for Medicines and Health Products (AEMPS) (EudraCT Number 2020-002312-43) adn the Drug Research Ethics Committee of the Hospital Universitario Severo Ochoa (Madrid, Spain) (<ext-link ext-link-type="uri" xlink:href="https://reec.aemps.es/reec/estudio/2020-002312-43">https://reec.aemps.es/reec/estudio/2020-002312-43</ext-link>). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>MCe, MT and MCo conceptualized the project. MT wrote the manuscript. DL-W, MN-M, PR-M, MLT-M and MCe identified, selected, recruited the patients, and collected the samples. GC, LV, and SR-M processed samples. MT and MCe collected and analyzed the clinical data. All co-authors read and approved the final version of the manuscript.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This work was supported by Fundaci&#x00F3;n Universidad Alfonso X el Sabio (FUAX, Madrid, Spain; ID Project: 1.012.010; ID Project EQA: 925.280); the Coordinated Research Activities at the National Center of Microbiology (Instituto de Salud Carlos III) (COV20_00679) to promote an integrated response against SARS-CoV-2 in Spain (Spanish Ministry of Science and Innovation) that is coordinated by Dr. Inmaculada Casas (WHO National Influenza Center of the CNM); a generous donation provided by Chiesi Espa&#x00F1;a, S.A.U. (Barcelona, Spain). The work of Montserrat Torres was financed by the Coordinated Research Activities at the CNM (Instituto de Salud Carlos III) (COV20_00679). The work of Lorena Vig&#x00F3;n was supported by a pre-doctoral grant from Instituto de Salud Carlos III (FIS PI16CIII/00034-ISCIII-FEDER). The work of Sara Rodr&#x00ED;guez-Mora was financed by NIH grant R01AI143567.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>Drug Cholecalciferol (vitamin D) used in this study was donated by Italfarmaco Group (Cholecalciferol 25,000IU/2.5&#xa0;ml oral solution). Italfarmaco Group had no role in the design and conduct of the study, in the collection, management, analysis, and interpretation of the data, or the preparation, review, or approval of the manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<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>
<ack>
<p>We greatly appreciate all the patients for their participation in this study. We thank Dr Amanda Fern&#x00E1;ndez and Dr Ver&#x00F3;nica Briz from the National Center of Microbiology (Instituto de Salud Carlos III, Majadahonda) for their help and support for the statistical analysis of the clinical data presented in this manuscript, and Mar&#x00ED;a C. de la Cruz at the Central Support Unit for Clinical Research and Clinical Trials (Health Research Institute Gregorio Mara&#x00F1;on; IiSGM) for her advice and assistance related to clinical research with medicines.</p>
</ack>
<sec id="s12">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2022.863587/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2022.863587/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.DOCX" id="SM1" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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