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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2023.1229561</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence and cost of hospitalized patients with asymptomatic COVID-19 in 2020 in Spain</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>&#x000C1;lvarez-del R&#x000ED;o</surname> <given-names>Blanca</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>S&#x000E1;nchez-de Prada</surname> <given-names>Laura</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1352925/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>&#x000C1;lvaro-Meca</surname> <given-names>Alejandro</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2034907/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mart&#x000ED;n-Fern&#x000E1;ndez</surname> <given-names>Marta</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1381088/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>&#x000C1;lvarez</surname> <given-names>F. Javier</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/324382/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tamayo</surname> <given-names>Eduardo</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Guti&#x000E9;rrez-Abej&#x000F3;n</surname> <given-names>Eduardo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1209572/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Departamento de Farmacolog&#x000ED;a, Facultad de Medicina, Universidad de Valladolid</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</country></aff>
<aff id="aff2"><sup>2</sup><institution>BioCritic, Grupo de Investigaci&#x000F3;n Biom&#x000E9;dica en Cuidados Cr&#x000ED;ticos</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</country></aff>
<aff id="aff3"><sup>3</sup><institution>Departamento de Microbiolog&#x000ED;a e Inmunolog&#x000ED;a, Hospital Cl&#x000ED;nico Universitario de Valladolid</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</country></aff>
<aff id="aff4"><sup>4</sup><institution>Centro Nacional de Gripe de Valladolid</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</country></aff>
<aff id="aff5"><sup>5</sup><institution>Centro de Investigaci&#x000F3;n Biom&#x000E9;dica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country></aff>
<aff id="aff6"><sup>6</sup><institution>Departamento de Medicina Preventiva y Salud P&#x000FA;blica, Universidad Rey Juan Carlos</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country></aff>
<aff id="aff7"><sup>7</sup><institution>Direcci&#x000F3;n T&#x000E9;cnica de Farmacia, Gerencia Regional de Salud de Castilla y Le&#x000F3;n</institution>, <addr-line>Valladolid</addr-line>, <country>Spain</country></aff>
<aff id="aff8"><sup>8</sup><institution>Facultad de Empresa y Comunicaci&#x000F3;n, Universidad Internacional de la Rioja (UNIR)</institution>, <addr-line>Logro&#x000F1;o</addr-line>, <country>Spain</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Elena Alexeevna Varavikova, Federal Research Institute for Health Organization and Informatics, Russia</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mohamed Abouzid, Poznan University of Medical Sciences, Poland; Patrizia Laurenti, Catholic University of the Sacred Heart, Rome, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Laura S&#x000E1;nchez-de Prada <email>lsanchezd&#x00040;saludcastillayleon.es</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1229561</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 &#x000C1;lvarez-del R&#x000ED;o, S&#x000E1;nchez-de Prada, &#x000C1;lvaro-Meca, Mart&#x000ED;n-Fern&#x000E1;ndez, &#x000C1;lvarez, Tamayo and Guti&#x000E9;rrez-Abej&#x000F3;n.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>&#x000C1;lvarez-del R&#x000ED;o, S&#x000E1;nchez-de Prada, &#x000C1;lvaro-Meca, Mart&#x000ED;n-Fern&#x000E1;ndez, &#x000C1;lvarez, Tamayo and Guti&#x000E9;rrez-Abej&#x000F3;n</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>Introduction</title>
<p>COVID-19 transmission has been characterized by the presence of asymptomatic patients. Additionally, most studies evaluating costs focus on symptomatic COVID-19 cases.</p>
</sec>
<sec>
<title>Objective</title>
<p>To describe the prevalence, characteristics, and costs of asymptomatic COVID-19 cases at admission in Spanish hospitals in 2020.</p>
</sec>
<sec>
<title>Methods</title>
<p>A nationwide study was performed, and data of hospitalized patients were collected of the Minimum Basic Data Set in Spain during 2020. Patients with COVID-19 codes as a primary and as a secondary diagnosis at admission were selected. Variables collected included age, sex, length of stay, in-hospital death, admission, length of stay and death in intensive care unit, mechanical ventilation and ventilatory assistance. COVID-19 related hospital costs were calculated using diagnosis-related groups from the Minimum Basic Data Set. Patients and costs were disaggregated by sex, age group, intensive care unit admission and epidemic wave (first or second) and main diagnosis.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 14,742 patients were admitted with asymptomatic COVID-19 in Spanish hospitals representing 6.35% of all COVID-19 admitted patients. The total cost of admissions with asymptomatic COVID-19 was &#x020AC;105,933,677.6 with a mean cost per patient of &#x020AC;7,185.8 with higher mean cost in the first wave despite only 2.7% of cases were found during that time. Based on primary diagnosis, the higher number of cases of asymptomatic COVID-19 were found in &#x0201C;Pregnancy, childbirth and the puerperium&#x0201D; followed by &#x0201C;diseases of the circulatory system&#x0201D;.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>There was a high prevalence of asymptomatic cases during screening at admission process in Spanish hospitals in 2020. The highest number of cases was found among the group of &#x0201C;pregnancy, childbirth, and puerperium&#x0201D; followed by &#x0201C;diseases of the circulatory system.&#x0201D; The higher costs might be due not only to the main pathology at admission but to the associated healthcare provisions needed in case of positive COVID-19 testing.</p>
</sec></abstract>
<kwd-group>
<kwd>asymptomatic</kwd>
<kwd>COVID-19</kwd>
<kwd>prevalence</kwd>
<kwd>costs</kwd>
<kwd>hospitalized</kwd>
<kwd>Spain</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="22"/>
<page-count count="7"/>
<word-count count="3796"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Health Economics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1. Introduction</title>
<p>The COVID-19 (coronavirus disease 2019) pandemic caused by the severe acute respiratory syndrome-2 (SARS-CoV-2) coronavirus (<xref ref-type="bibr" rid="B1">1</xref>) has resulted in an overpowering macroeconomic impact, causing a decrease of 7.4% in gross domestic product in Europe (<xref ref-type="bibr" rid="B2">2</xref>). For healthcare systems, the initial economic hit was mainly supported by hospitals (<xref ref-type="bibr" rid="B3">3</xref>), with an overloaded use of Intensive Care Units (ICU) and in-hospital resources, such as mechanical ventilation, as the most expensive items (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>In Spain, healthcare is free for public use, and is lawfully guaranteed by the National Health System, covering for 47.45 million people in 2020, although private healthcare providers are also available. The Spanish hospital network, accounted for 467 public and 310 private hospitals with a total 50 capacity of 153,265 beds, in 2020. During the emergency state, private hospitals were made available for public use. Moreover, at the peak of the first wave of the pandemic, more than 13,000 beds were opened for ICU admissions, three times the pre-pandemic provision (<xref ref-type="bibr" rid="B5">5</xref>). Actually, it has been estimated that the economic health care burden of COVID-19 hospitalized patients in Spain was &#x020AC;1.23 billions in 2020 (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Most COVID-19 studies focus on direct costs of COVID-19 symptomatic patients (<xref ref-type="bibr" rid="B4">4</xref>). However, the proportion of asymptomatic patients has been estimated to be high (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Those patients play an important role in the transmission within the community and healthcare facilities as they have been identified as a potential source of infection due to having similar viral loads as symptomatic patients (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>In this study, we aim to describe the prevalence, characteristics, and the cost of asymptomatic COVID-19 cases in hospitalized patients screened as part of an inpatient admission in 2020.</p>
</sec>
<sec id="s2">
<title>2. Methods</title>
<sec>
<title>2.1. Study design</title>
<p>A nationwide population-based retrospective economic evaluation of hospitalizations with asymptomatic COVID-19 was conducted in Spanish hospitals during 2020. The study followed the CHEERS reporting guideline and was approved by the Ethics Review Board (CEIm Area de Salud Valladolid Este, PI 22-2855).</p>
</sec>
<sec>
<title>2.2. Measures</title>
<p>Data were collected from the Minimum Basic Data Set (MBDS) (<xref ref-type="bibr" rid="B11">11</xref>), obtained by the National Surveillance System for Hospital Data and published with 2 years lag by the Ministry of Health. The MBDS is a clinical and administrative database filled in at discharge covering for 99.5% of Spanish hospitals. Patients with COVID-19 codes B97.29 and U07.1 as the primary diagnosis at admission, on one hand, and as the secondary diagnosis at admission, on the other, following the International Classification of Diseases 10<sup>th</sup> Revision, Clinical Modification (ICD-10-CM), were selected (<xref ref-type="bibr" rid="B12">12</xref>). Asymptomatic COVID-19 patients include those infected with the virus who do not experience any symptoms of the disease and would not realize they are infected, thus contributing to viral spread (<xref ref-type="bibr" rid="B13">13</xref>). Therefore, we considered COVID-19 asymptomatic cases when the hospitalized patients were admitted with a primary diagnosis other than COVID-19, but during inpatient admission screening COVID-19 were found to be positive (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flow chart of patient selection.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-11-1229561-g0001.tif"/>
</fig>
<p>Variables collected included age, sex, length of stay (LoS), in-hospital death, admission in ICU, ICU length of stay, ICU death, mechanical ventilation and ventilatory assistance. During 2020, SARS-CoV2 circulated in two waves in Spain, the first one since its until June 30<sup>th</sup>, 2020, and the second from July 1<sup>st</sup>, 2020, until December 31<sup>st</sup>, 2020 (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>COVID-19 related hospital direct costs were calculated using diagnosis-related groups (DRG) from the MBDS (<xref ref-type="bibr" rid="B11">11</xref>). The GDR weights and costs are calculated from a representative sample of hospitals that perform analytic accounting in our country and are periodically collected in the Spanish Record of Hospital Costs. Patients and costs were disaggregated by sex, age group, intensive care unit (ICU) admission and epidemic wave (first or second), provinces, and main diagnosis following the International Classification of Diseases 10<sup>th</sup> Revision, Clinical Modification (ICD-10-CM) were selected (<xref ref-type="bibr" rid="B12">12</xref>). All costs were expressed in euros (&#x020AC;) in 2020 values. The annual currency equivalence in 2020 was 1&#x020AC; =1.1422$ United States dollars (USD) (<xref ref-type="bibr" rid="B14">14</xref>).</p>
</sec>
<sec>
<title>2.3. Statistical analysis</title>
<p>Results were reported as mean (95%CI) for continuous variables and as frequency (percentages) for categorical variables. Differences between groups were assessed using an unpaired, 2-tailed <italic>t</italic>-test; Mann-Whitney test; and Kruskal-Wallis test with Bonferroni correction adjustment for multiple comparisons (&#x003B1; = 0.05) for continuous variables when appropriate. Statistical analysis was conducted with Python 3.9 (Python). Two-sided <italic>P</italic> &#x0003C; 0.05 indicated statistical significance.</p>
</sec>
</sec>
<sec id="s3">
<title>3. Results</title>
<p>A total of 14,742 patients were admitted with asymptomatic COVID-19 in Spanish hospitals (<xref ref-type="table" rid="T1">Table 1</xref>) and 217,106 patients admitted with a primary diagnosis of COVID-19 (<xref ref-type="bibr" rid="B6">6</xref>). Asymptomatic cases represent 6.35% of all COVID-19 hospitalized patients in 2020. From the 14,742 patients, 8,307 were females [56.3%] and 6,435 were males [43.7%], and the mean age of 59.0 [CI95%: 58.6&#x02013;59.3] years old (<xref ref-type="table" rid="T1">Table 1</xref>). In-hospital mortality during 20202 was 10.6% and was similar in both waves (13.0% vs. 10.5%, <italic>p</italic> = 0.12). However, length of stay was 10.7 days but differed between waves with 57.8 days in the first compared to 9.4 days in the second (<italic>p</italic> &#x0003C; 0.001). Only 398 (2.7%) asymptomatic cases were found during the first wave.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Hospitalization of asymptomatic COVID-19 cases and costs in 2020 in Spain.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>Description</bold></th>
<th valign="top" align="left"><bold>No patients</bold></th>
<th valign="top" align="left"><bold>Total cost (&#x020AC;)<sup>a</sup></bold></th>
<th valign="top" align="left"><bold>Mean cost(&#x020AC;) /patient (CI95%)<sup>a</sup></bold></th>
<th valign="top" align="left"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td/>
<td valign="top" align="left">14,742</td>
<td valign="top" align="left">105,933,677.6</td>
<td valign="top" align="left">7,185.84 (7,080.98&#x02013;7,290.71)</td>
<td/>
</tr> <tr style="background-color:#e0e1e3">
<td valign="top" align="left" colspan="5"><bold>Epidemic wave</bold></td>
</tr> <tr>
<td valign="top" align="left">First</td>
<td valign="top" align="left">398</td>
<td valign="top" align="left">5,284,120.45</td>
<td valign="top" align="left">13,276.68 (11,789.13&#x02013;14,764.24)</td>
<td valign="top" align="left">&#x0003C; 0.001</td>
</tr> <tr>
<td valign="top" align="left">Second</td>
<td valign="top" align="left">14,344</td>
<td valign="top" align="left">100,649,557.15</td>
<td valign="top" align="left">7,016.84 (6,918.64&#x02013;7,115.04)</td>
<td/>
</tr> <tr style="background-color:#e0e1e3">
<td valign="top" align="left" colspan="5"><bold>Type of admission</bold></td>
</tr> <tr>
<td valign="top" align="left">General</td>
<td valign="top" align="left">13,569</td>
<td valign="top" align="left">87,266,111.79</td>
<td valign="top" align="left">6,431.29 (6,356.69&#x02013;6,505.88)</td>
<td valign="top" align="left">&#x0003C; 0.001</td>
</tr> <tr>
<td valign="top" align="left">ICU</td>
<td valign="top" align="left">1,173</td>
<td valign="top" align="left">18,667,565.81</td>
<td valign="top" align="left">15,914.38 (15,063.97&#x02013;16,764.79)</td>
<td/>
</tr> <tr style="background-color:#e0e1e3">
<td valign="top" align="left" colspan="5"><bold>Sex</bold></td>
</tr> <tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">6,435</td>
<td valign="top" align="left">52,624,813.39</td>
<td valign="top" align="left">8,177.90 (7,994.27&#x02013;8,361.54)</td>
<td valign="top" align="left">&#x0003C; 0.001</td>
</tr> <tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">8,307</td>
<td valign="top" align="left">53,308,864.21</td>
<td valign="top" align="left">6,417.34 (6,299.95&#x02013;6,534.73)</td>
<td/>
</tr> <tr style="background-color:#e0e1e3">
<td valign="top" align="left" colspan="5"><bold>Age group</bold></td>
</tr> <tr>
<td valign="top" align="left">&#x0003C; 40</td>
<td valign="top" align="left">4,176</td>
<td valign="top" align="left">23,079,625.79</td>
<td valign="top" align="left">5,526.73 (5,378.72&#x02013;5,674.74)</td>
<td valign="top" align="left">&#x0003C; 0.001</td>
</tr> <tr>
<td valign="top" align="left">40&#x02013;59</td>
<td valign="top" align="left">2,515</td>
<td valign="top" align="left">20,059,792.48</td>
<td valign="top" align="left">7,976.06 (7,686.29&#x02013;8,265.83)</td>
<td/>
</tr> <tr>
<td valign="top" align="left">60&#x02013;79</td>
<td valign="top" align="left">4,072</td>
<td valign="top" align="left">35,103,496.2</td>
<td valign="top" align="left">8,620.7 (8,362.17&#x02013;8,879.23)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;79</td>
<td valign="top" align="left">3,979</td>
<td valign="top" align="left">27,690,763.13</td>
<td valign="top" align="left">6,959.23 (6,824.6&#x02013;7,093.86)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup>To convert to US dollars multiply by 1.14.</p>
<p>ICU, intensive care unit.</p>
</table-wrap-foot>
</table-wrap>
<p>The total cost of admissions with asymptomatic COVID-19 was &#x020AC;105,933,677.6 with a mean cost per patient of &#x020AC;7,185.8, higher in the first wave (&#x020AC;13,276.7) compared to the second (&#x020AC;7,016.8, <italic>p</italic> &#x0003C; 0.001). Of these, 8.0% of patients required ICU and ICU-mortality reached 1.7%. Higher mean cost per patient was found in ICU patients with &#x020AC;15,914.4 compared to regular admission with &#x020AC;6,431.3 (p &#x0003C; 0.001). Costs were higher in males and in 60&#x02013;79-year-old group (<italic>p</italic> &#x0003C; 0.001) (<xref ref-type="table" rid="T1">Table 1</xref>). Additionally, mean cost per patient and total cost by provinces in Spanish territory are described in <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>(A)</bold> Mean cost (&#x020AC;) per patient in each Spanish province. <bold>(B)</bold> Total cost per patient (&#x020AC;) in each Spanish province.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-11-1229561-g0002.tif"/>
</fig>
<p>Based on primary diagnosis, the higher number of cases of asymptomatic COVID-19 were found in &#x0201C;Pregnancy, childbirth and the puerperium&#x0201D; followed by &#x0201C;diseases of the circulatory system&#x0201D; (2,716 [18.4%] and 2,266 [15.4%] patients) (<xref ref-type="fig" rid="F3">Figure 3</xref>). Despite the great variability observed in costs according to the primary diagnosis, the highest total cost was found in &#x0201C;diseases of the circulatory system&#x0201D; with a total of &#x020AC;17,756,914.27 (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Costs of hospitalized patients with asymptomatic COVID-19 based on their primary diagnosis (ICD-10-CM) in 2020 in Spain. Columns represent mean cost per patient (&#x020AC;) with confidence of interval 95% (left axis). Dots represent total cost (right axis). The total number of patients per primary diagnosis group is indicated above each column.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-11-1229561-g0003.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Costs of hospitalized patients with asymptomtic COVID-19 based on their primary diagnosis (ICD-10-CM) in 2020 in Spain.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>No patients</bold></th>
<th valign="top" align="left"><bold>Mean cost (&#x020AC;)/patient (CI95%)<sup>a</sup></bold></th>
<th valign="top" align="left"><bold>Total cost (&#x020AC;)<sup>a</sup></bold></th>
<th valign="top" align="left"><bold>Primary diagnosis classification</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">2,716</td>
<td valign="top" align="left">4,231.63 (4,132.02&#x02013;4,331.24)</td>
<td valign="top" align="left">11,493,106.35</td>
<td valign="top" align="left">Pregnancy, childbirth and the puerperium</td>
</tr> <tr>
<td valign="top" align="left">2,266</td>
<td valign="top" align="left">7,836.24 (7,551.1&#x02013;8,121.37)</td>
<td valign="top" align="left">17,756,914.27</td>
<td valign="top" align="left">Diseases of the circulatory system</td>
</tr> <tr>
<td valign="top" align="left">1,938</td>
<td valign="top" align="left">7,758.58 (7,473.62&#x02013;8,043.54)</td>
<td valign="top" align="left">15,036,131.78</td>
<td valign="top" align="left">Diseases of the digestive system</td>
</tr> <tr>
<td valign="top" align="left">1,594</td>
<td valign="top" align="left">9,960.55 (9,596.14&#x02013;10,324.96)</td>
<td valign="top" align="left">15,877,117.29</td>
<td valign="top" align="left">Injury, poisoning and certain other consequences of external causes</td>
</tr> <tr>
<td valign="top" align="left">1,223</td>
<td valign="top" align="left">6,750.95 (6,269.92&#x02013;7,231.99)</td>
<td valign="top" align="left">8,256,415.54</td>
<td valign="top" align="left">Diseases of the respiratory system</td>
</tr> <tr>
<td valign="top" align="left">1,013</td>
<td valign="top" align="left">5,204.89 (4,938.47&#x02013;5,471.31)</td>
<td valign="top" align="left">5,272,552.69</td>
<td valign="top" align="left">Diseases of the genitourinary system</td>
</tr> <tr>
<td valign="top" align="left">747</td>
<td valign="top" align="left">10,524.9 (9,896.41&#x02013;11,153.40)</td>
<td valign="top" align="left">7,862,103.05</td>
<td valign="top" align="left">Neoplasms</td>
</tr> <tr>
<td valign="top" align="left">567</td>
<td valign="top" align="left">8,884.74 (8,331.00&#x02013;9,438.49)</td>
<td valign="top" align="left">5,037,648.59</td>
<td valign="top" align="left">Certain infectious and parasitic diseases</td>
</tr> <tr>
<td valign="top" align="left">527</td>
<td valign="top" align="left">5,487.29 (5,090.12&#x02013;5,884.46)</td>
<td valign="top" align="left">2,891,801.62</td>
<td valign="top" align="left">Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified</td>
</tr> <tr>
<td valign="top" align="left">413</td>
<td valign="top" align="left">7,792.96 (7,141.11&#x02013;8,444.81)</td>
<td valign="top" align="left">3,218,491.47</td>
<td valign="top" align="left">Diseases of the nervous system</td>
</tr> <tr>
<td valign="top" align="left">382</td>
<td valign="top" align="left">5,615.96 (5,262.3&#x02013;5,969.62)</td>
<td valign="top" align="left">2,145,296.83</td>
<td valign="top" align="left">Endocrine, nutritional and metabolic diseases</td>
</tr> <tr>
<td valign="top" align="left">359</td>
<td valign="top" align="left">7,443.63 (7,029.27&#x02013;7,857.98)</td>
<td valign="top" align="left">2,672,261.70</td>
<td valign="top" align="left">Mental and behavioral disorders</td>
</tr> <tr>
<td valign="top" align="left">295</td>
<td valign="top" align="left">9,892.26 (9,153.32&#x02013;10,631.20)</td>
<td valign="top" align="left">2,918,216.70</td>
<td valign="top" align="left">Diseases of the musculoskeletal system and connective tissue</td>
</tr> <tr>
<td valign="top" align="left">219</td>
<td valign="top" align="left">8,788.43 (7,984.08&#x02013;9,592.78)</td>
<td valign="top" align="left">1,924,666.33</td>
<td valign="top" align="left">Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism</td>
</tr> <tr>
<td valign="top" align="left">162</td>
<td valign="top" align="left">6,633.06 (6,086.28&#x02013;7,179.84)</td>
<td valign="top" align="left">1,074,556.14</td>
<td valign="top" align="left">Diseases of the skin and subcutaneous tissue</td>
</tr> <tr>
<td valign="top" align="left">144</td>
<td valign="top" align="left">9,082.45 (8,184.81&#x02013;9,980.09)</td>
<td valign="top" align="left">1,307,872.74</td>
<td valign="top" align="left">Factors influencing health status and contact with health services</td>
</tr> <tr>
<td valign="top" align="left">90</td>
<td valign="top" align="left">6,749.51 (5,591.26&#x02013;7,907.76)</td>
<td valign="top" align="left">607,455.85</td>
<td valign="top" align="left">Certain conditions originating in the perinatal period</td>
</tr> <tr>
<td valign="top" align="left">41</td>
<td valign="top" align="left">5,787.6 (5,170.26&#x02013;6,404.93)</td>
<td valign="top" align="left">237,291.40</td>
<td valign="top" align="left">Diseases of the eye and adnexa</td>
</tr> <tr>
<td valign="top" align="left">25</td>
<td valign="top" align="left">3,268.17 (2,903.11&#x02013;3,633.24)</td>
<td valign="top" align="left">81,704.36</td>
<td valign="top" align="left">Diseases of the ear and mastoid process</td>
</tr> <tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">17,278.45 (2,807.62&#x02013;31,749.27)</td>
<td valign="top" align="left">224,619.79</td>
<td valign="top" align="left">Congenital malformations, deformations and chromosomal abnormalities</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">4,681.64 (4,681.64&#x02013;4,681.64)</td>
<td valign="top" align="left">37,453.09</td>
<td valign="top" align="left">Non-classified</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup>To convert to US dollars multiply by 1.14.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4">
<title>4. Discussion</title>
<p>In our national study, we found a 6.35% of asymptomatic COVID-19 patients among all COVID-19 hospitalized patients in Spain. A recent model has estimated the prevalence of asymptomatic patients in Madrid to be of 28% in the first three waves (<xref ref-type="bibr" rid="B15">15</xref>), however it accounted for the whole of population. Additionally, previous studies have estimated the prevalence to be 0.25% with 0.75% among in-hospital patients (<xref ref-type="bibr" rid="B8">8</xref>), focusing on hospitalized population but lower compared to our findings. It is noteworthy that most cases were found in &#x0201C;pregnancy, childbirth and the puerperium&#x0201D; and &#x0201C;diseases of the circulatory system.&#x0201D; Actually, estimates indicate that the percentage of asymptomatic cases among pregnant women could reach 54% (<xref ref-type="bibr" rid="B8">8</xref>) which could be a picture of how the relative immunosuppressive state of pregnancy could lead to more asymptomatic cases (<xref ref-type="bibr" rid="B16">16</xref>). Regarding the circulatory system, COVID-19 coagulopathy (<xref ref-type="bibr" rid="B17">17</xref>) and increased risk of myocarditis, pericarditis and cardiac arrythmias have been described upon COVID-19 infections (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Previous studies have assessed the direct costs of symptomatic COVID-19 in different contexts (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). However, economic information on asymptomatic COVID-19 is scarce. In our study, the evaluation of costs showed that patients admitted with asymptomatic COVID-19 had higher mean costs per patient (&#x0002B;26.4%) than those found in a previous study of hospitalized patients with symptomatic COVID-19 (<xref ref-type="bibr" rid="B6">6</xref>). Despite the small number of patients admitted in the first wave, the mean cost per patient during the first wave (&#x020AC;13,276.68) almost doubled mean compared to the second (&#x020AC;7,016.84). This could be the result of different circumstances. First, the observed cost increase could be attributable not only to the infection itself which could increase the severity of underlying conditions requiring increased expenses. Also, during the first wave which took place during lockdown only patients with highly severe conditions would dare to go to the hospital, while in the second, &#x0201C;normal&#x0201D; activity was reinstated. Additionally, during that period the skyrocketing price of medical supplies due to an impaired availability and high demand could have affected costs (<xref ref-type="bibr" rid="B21">21</xref>). A matched cohort study in the United States showed that COVID-19 increased the costs of all pathologies studied in hospitalized patients (<xref ref-type="bibr" rid="B19">19</xref>). Even though, we can&#x00027;t describe the exact increment for each primary diagnosis category, it seems that the high costs are a reflect of that. Further studies should clarify the specific cost contribution of asymptomatic COVID-19.</p>
<p>Our study has limitations as we performed a retrospective study using the Spanish MBDS. However, COVID-19 codes have shown high sensitivity and specificity in other countries (<xref ref-type="bibr" rid="B22">22</xref>). One limitation is that the patients included in the study had a high variability of primary diagnoses, and we were unable to assess and compare costs in similar patients without asymptomatic COVID-19. Another limitation is that the data available does not allow to compare costs between public and private hospitals. By contrast, the strengths of our study include being a nationwide study of all hospitalizations with asymptomatic COVID-19 infection. The compulsory screening before admission in Spain during 2020, has allowed us to provide a general vision of the frequency of asymptomatic cases at hospital admission and the relevant costs related to them in 2020 in the Spanish population, unlike studies in individual regions or hospitals.</p>
<p>To conclude the prevalence of asymptomatic COVID-19 cases in hospitalized patients screened at admission was high in 2020 in Spain. The highest number of cases was found in &#x0201C;pregnancy, childbirth, and puerperium&#x0201D; group, followed by &#x0201C;diseases of the circulatory system.&#x0201D; The higher cost of asymptomatic COVID-19 is probably related to the main pathology itself but also to the healthcare measures taken in case of asymptomatic COVID-19 positive patients. Although, further specific studies need to be performed in order to estimate the increased cost associated to asymptomatic infection.</p>
</sec>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The datasets presented in this article are not readily available because the MDBS is the property of the Ministry of Health. Therefore, any researcher can request the data related to this article from the Ministry of Health by email (<email>icmbd&#x00040;msssi.es</email>), by fax (&#x0002B;34915964111), or by mail (Instituto de Informaci&#x000F3;n Sanitaria, &#x000C1;rea de Informaci&#x000F3;n y Estad&#x000ED;sticas Asistenciales, Ministerio de Sanidad, Consumo y Bienestar Social. Paseo del Prado 18&#x02013;20; 28071 Madrid. Spain). Requests to access the datasets should be directed to Ministry of Health, <email>icmbd&#x00040;msssi.es</email>.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committee of Valladolid East Health Area. Written informed consent from the participants&#x00027; legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>A&#x000C1;-M and ET had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. B&#x000C1;-dR, MM-F, and EG-A conceived and design the study. F&#x000C1; and ET obtained the funding and supervised the work. LS-dP, A&#x000C1;-M, F&#x000C1;, ET, and EG-A performed data analysis and statistical analysis was performed by A&#x000C1;-M and LS-dP. B&#x000C1;-dR and LS-dP wrote the draft of the manuscript. The final version was revised and approved by all authors.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>This research was funded by Centro de Investigaci&#x000F3;n Biom&#x000E9;dica en Red de Enfermedades Infecciosas (CB21/13/00051), and LS-dP received a R&#x000ED;o Hortega grant (CM20/00138). Both from Carlos III Institute of Health (Co-funded by European Regional Development Fund/European Social Fund A way to make Europe/Investing in your future).</p>
</sec>
<ack><p>The Instituto de Informaci&#x000F3;n Sanitaria, Area de Informaci&#x000F3;n y Estad&#x000ED;sticas Asistenciales, Ministerio de Sanidad (Ministry of Health) of Spain provided access to the Conjunto M&#x000ED;nimo B&#x000E1;sico de Datos (Minimum Basic Data Set) used in this study. B&#x000C1;-dR belongs to the PhD program &#x0201C;Investigaci&#x000F3;n en Ciencias de la Salud&#x0201D; under the direction of ET and EG-A.</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>C</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>X</given-names></name> <name><surname>Ren</surname> <given-names>L</given-names></name> <name><surname>Zhao</surname> <given-names>J</given-names></name> <name><surname>Hu</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China</article-title>. <source>The Lancet</source>. (<year>2020</year>) <volume>395</volume>:<fpage>497</fpage>&#x02013;<lpage>506</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(20)30183-5</pub-id><pub-id pub-id-type="pmid">32502551</pub-id></citation></ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="web"><person-group person-group-type="author"><name><surname>Clark</surname> <given-names>D</given-names></name></person-group>. <article-title>GDP growth rate forecasts in Europe 2020&#x02013;2021</article-title>. Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.statista.com/statistics/1102546/coronavirus-european-gdp-growth/&#x00023;:&#x0007E;:text=The%20economy%20of%20the%20European,economic%20recovery%20anticipated%20in%202021">https://www.statista.com/statistics/1102546/coronavirus-european-gdp-growth/&#x00023;:&#x0007E;:text=The%20economy%20of%20the%20European,economic%20recovery%20anticipated%20in%202021</ext-link> (accessed August 8, 2022).<pub-id pub-id-type="pmid">37319267</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kaye</surname> <given-names>AD</given-names></name> <name><surname>Okeagu</surname> <given-names>CN</given-names></name> <name><surname>Pham</surname> <given-names>AD</given-names></name> <name><surname>Silva</surname> <given-names>RA</given-names></name> <name><surname>Hurley</surname> <given-names>JJ</given-names></name> <name><surname>Arron</surname> <given-names>BL</given-names></name> <etal/></person-group>. <article-title>Economic impact of COVID-19 pandemic on healthcare facilities and systems: international perspectives</article-title>. <source>Best Pract Res Clin Anaesthesiol</source>. (<year>2021</year>) <volume>35</volume>:<fpage>293</fpage>&#x02013;<lpage>306</lpage>. <pub-id pub-id-type="doi">10.1016/j.bpa.2020.11.009</pub-id><pub-id pub-id-type="pmid">34511220</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Richards</surname> <given-names>F</given-names></name> <name><surname>Kodjamanova</surname> <given-names>P</given-names></name> <name><surname>Chen</surname> <given-names>X</given-names></name> <name><surname>Li</surname> <given-names>N</given-names></name> <name><surname>Atanasov</surname> <given-names>P</given-names></name> <name><surname>Bennetts</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Economic burden of COVID-19: a systematic review</article-title>. <source>ClinicoEconomics Outcomes Res</source>. (<year>2022</year>) <volume>14</volume>:<fpage>293</fpage>&#x02013;<lpage>307</lpage>. <pub-id pub-id-type="doi">10.2147/CEOR.S338225</pub-id><pub-id pub-id-type="pmid">35509962</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="web"><person-group person-group-type="author"><collab>Spanish Ministry of Health</collab></person-group>. <article-title>Annual Report on the National Health System 2020&#x02013;2021</article-title>. <source>Published online</source>. (<year>2022</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.sanidad.gob.es/estadEstudios/estadisticas/sisInfSanSNS/tablasEstadisticas/InfAnualSNS2020_21/INFORME_ANUAL_2020_21.pdf">https://www.sanidad.gob.es/estadEstudios/estadisticas/sisInfSanSNS/tablasEstadisticas/InfAnualSNS2020_21/INFORME_ANUAL_2020_21.pdf</ext-link> (accessed December 12, 2022).</citation>
</ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>&#x000C1;lvarez-del R&#x000ED;o</surname> <given-names>B</given-names></name> <name><surname>S&#x000E1;nchez-de Prada</surname> <given-names>L</given-names></name> <name><surname>&#x000C1;lvaro-Meca</surname> <given-names>A</given-names></name> <name><surname>Mart&#x000ED;n-Fern&#x000E1;ndez</surname> <given-names>M</given-names></name> <name><surname>&#x000C1;lvarez</surname> <given-names>FJ</given-names></name> <name><surname>Tamayo</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Economic burden of the 2020 COVID-19 hospitalizations in Spain</article-title>. <source>JAMA Netw Open</source>. (<year>2023</year>) <volume>6</volume>:<fpage>e2250960</fpage>. <pub-id pub-id-type="doi">10.1001/jamanetworkopen.2022.50960</pub-id><pub-id pub-id-type="pmid">36637826</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yanes-Lane</surname> <given-names>M</given-names></name> <name><surname>Winters</surname> <given-names>N</given-names></name> <name><surname>Fregonese</surname> <given-names>F</given-names></name> <name><surname>Bastos</surname> <given-names>M</given-names></name> <name><surname>Perlman-Arrow</surname> <given-names>S</given-names></name> <name><surname>Campbell</surname> <given-names>JR</given-names></name> <etal/></person-group>. <article-title>Proportion of asymptomatic infection among COVID-19 positive persons and their transmission potential: a systematic review and meta-analysis</article-title>. <source>PloS ONE</source>. (<year>2020</year>) <volume>15</volume>:<fpage>e0241536</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0241536</pub-id><pub-id pub-id-type="pmid">33141862</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ma</surname> <given-names>Q</given-names></name> <name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Liu</surname> <given-names>Q</given-names></name> <name><surname>Kang</surname> <given-names>L</given-names></name> <name><surname>Liu</surname> <given-names>R</given-names></name> <name><surname>Jing</surname> <given-names>W</given-names></name> <etal/></person-group>. <article-title>Global percentage of asymptomatic SARS-CoV-2 infections among the tested population and individuals with confirmed COVID-19 diagnosis</article-title>. <source>JAMA Netw Open</source>. (<year>2021</year>) <volume>4</volume>:<fpage>e2137257</fpage>. <pub-id pub-id-type="doi">10.1001/jamanetworkopen.2021.37257</pub-id><pub-id pub-id-type="pmid">34905008</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bai</surname> <given-names>Y</given-names></name> <name><surname>Yao</surname> <given-names>L</given-names></name> <name><surname>Wei</surname> <given-names>T</given-names></name> <name><surname>Tian</surname> <given-names>F</given-names></name> <name><surname>Jin</surname> <given-names>DY</given-names></name> <name><surname>Chen</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Presumed asymptomatic carrier transmission of COVID-19</article-title>. <source>JAMA</source>. (<year>2020</year>) <volume>323</volume>:<fpage>1406</fpage>. <pub-id pub-id-type="doi">10.1001/jama.2020.2565</pub-id><pub-id pub-id-type="pmid">32083643</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ra</surname> <given-names>SH</given-names></name> <name><surname>Lim</surname> <given-names>JS</given-names></name> <name><surname>Kim</surname> <given-names>G</given-names></name> <name><surname>Kim</surname> <given-names>MJ</given-names></name> <name><surname>Jung</surname> <given-names>J</given-names></name> <name><surname>Kim</surname> <given-names>SH</given-names></name></person-group>. <article-title>Upper respiratory viral load in asymptomatic individuals and mildly symptomatic patients with SARS-CoV-2 infection</article-title>. <source>Thorax</source>. (<year>2021</year>) <volume>76</volume>:<fpage>61</fpage>&#x02013;<lpage>3</lpage>. <pub-id pub-id-type="doi">10.1136/thoraxjnl-2020-215042</pub-id><pub-id pub-id-type="pmid">34167077</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="web"><person-group person-group-type="author"><collab>Spanish Ministry of Health</collab></person-group>. <article-title>Specialized Care Register. (SCR-MBDS). Activity and results of hospitalizations in Spain</article-title>. <source>Published online</source>. (<year>2022</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="https://pestadistico.inteligenciadegestion.sanidad.gob.es/publicoSNS/N/rae-cmbd/rae-cmbd">https://pestadistico.inteligenciadegestion.sanidad.gob.es/publicoSNS/N/rae-cmbd/rae-cmbd</ext-link> (accessed December 12, 2022).</citation>
</ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="web"><person-group person-group-type="author"><collab>Spanish Ministry of Health</collab></person-group>. <article-title>ICD-10 regulations. MBDS. COVID-19 coding regulations</article-title>. <source>Published online</source>. (<year>2020</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.sanidad.gob.es/estadEstudios/estadisticas/normalizacion/CIE10/PREGUNTAS_UT_Covid_19_ms_070420202.pdf">https://www.sanidad.gob.es/estadEstudios/estadisticas/normalizacion/CIE10/PREGUNTAS_UT_Covid_19_ms_070420202.pdf</ext-link> (accessed December 12, 2022).</citation>
</ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="web"><person-group person-group-type="author"><collab>World Health Organization</collab></person-group>. <article-title>COVID-19: symptoms and severity</article-title>. (<year>2022</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.who.int/westernpacific/emergencies/covid-19/information/asymptomatic-covid-19&#x00023;:&#x0007E;:text=Asymptomatic%20COVID%2D19,loved%20ones%20and%20your%20community">https://www.who.int/westernpacific/emergencies/covid-19/information/asymptomatic-covid-19&#x00023;:&#x0007E;:text=Asymptomatic%20COVID%2D19,loved%20ones%20and%20your%20community</ext-link> (accessed July 5, 2023).</citation>
</ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="web"><person-group person-group-type="author"><collab>European Central Bank</collab></person-group>. <source>Eurosystem policies and exchange rates</source>. (<year>2020</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.ecb.europa.eu/stats/policy_and_exchange_rates/euro_reference_exchange_rates/html/eurofxref-graph-cad.en.html">https://www.ecb.europa.eu/stats/policy_and_exchange_rates/euro_reference_exchange_rates/html/eurofxref-graph-cad.en.html</ext-link> (accessed November 14, 2022).</citation>
</ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Benavides</surname> <given-names>EM</given-names></name> <name><surname>Ordob&#x000E1;s Gav&#x000ED;n</surname> <given-names>M</given-names></name> <name><surname>Mallaina Garc&#x000ED;a</surname> <given-names>R</given-names></name> <name><surname>de Miguel Garc&#x000ED;a</surname> <given-names>S</given-names></name> <name><surname>Ort&#x000ED;z Pinto</surname> <given-names>M</given-names></name> <name><surname>Dom&#x000E9;nech Gimenez</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>COVID-19 dynamics in Madrid. (Spain): a new convolutional model to find out the missing information during the first three waves</article-title>. <source>PloS ONE</source>. (<year>2022</year>) <volume>17</volume>:<fpage>e0279080</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0279080</pub-id><pub-id pub-id-type="pmid">36548226</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dashraath</surname> <given-names>P</given-names></name> <name><surname>Wong</surname> <given-names>JLJ</given-names></name> <name><surname>Lim</surname> <given-names>MXK</given-names></name> <name><surname>Lim</surname> <given-names>LM</given-names></name> <name><surname>Li</surname> <given-names>S</given-names></name> <name><surname>Biswas</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Coronavirus disease 2019. (COVID-19) pandemic and pregnancy</article-title>. <source>Am J Obstet Gynecol</source>. (<year>2020</year>) <volume>222</volume>:<fpage>521</fpage>&#x02013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.1016/j.ajog.2020.03.021</pub-id><pub-id pub-id-type="pmid">32217113</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tamayo-Velasco</surname> <given-names>&#x000C1;</given-names></name> <name><surname>Bomb&#x000ED;n-Canal</surname> <given-names>C</given-names></name> <name><surname>Cebeira</surname> <given-names>MJ</given-names></name> <name><surname>S&#x000E1;nchez-De Prada</surname> <given-names>L</given-names></name> <name><surname>Miramontes-Gonz&#x000E1;lez</surname> <given-names>JP</given-names></name> <name><surname>Mart&#x000ED;n-Fern&#x000E1;ndez</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Full Characterization of thrombotic events in all hospitalized COVID-19 patients in a Spanish tertiary hospital during the first 18 months of the pandemic</article-title>. <source>J Clin Med</source>. (<year>2022</year>) <volume>11</volume>:<fpage>3443</fpage>. <pub-id pub-id-type="doi">10.3390/jcm11123443</pub-id><pub-id pub-id-type="pmid">35743512</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Patone</surname> <given-names>M</given-names></name> <name><surname>Mei</surname> <given-names>XW</given-names></name> <name><surname>Handunnetthi</surname> <given-names>L</given-names></name> <name><surname>Dixon</surname> <given-names>S</given-names></name> <name><surname>Zaccardi</surname> <given-names>F</given-names></name> <name><surname>Shankar-Hari</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Risks of myocarditis, pericarditis, and cardiac arrhythmias associated with COVID-19 vaccination or SARS-CoV-2 infection</article-title>. <source>Nat Med</source>. (<year>2022</year>) <volume>28</volume>:<fpage>410</fpage>&#x02013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1038/s41591-021-01630-0</pub-id><pub-id pub-id-type="pmid">34907393</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>DeMartino</surname> <given-names>JK</given-names></name> <name><surname>Swallow</surname> <given-names>E</given-names></name> <name><surname>Goldschmidt</surname> <given-names>D</given-names></name> <name><surname>Yang</surname> <given-names>K</given-names></name> <name><surname>Viola</surname> <given-names>M</given-names></name> <name><surname>Radtke</surname> <given-names>T</given-names></name> <name><surname>Kirson</surname> <given-names>N</given-names></name></person-group>. <article-title>Direct health care costs associated with COVID-19 in the United States</article-title>. <source>J Manag Care Spec Pharm</source>. (<year>2022</year>) <volume>28</volume>:<fpage>936</fpage>&#x02013;<lpage>947</lpage>. <pub-id pub-id-type="doi">10.18553/jmcp.2022.22050</pub-id><pub-id pub-id-type="pmid">35722829</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Foglia</surname> <given-names>E</given-names></name> <name><surname>Ferrario</surname> <given-names>L</given-names></name> <name><surname>Schettini</surname> <given-names>F</given-names></name> <name><surname>Pagani</surname> <given-names>MB</given-names></name> <name><surname>Dalla Bona</surname> <given-names>M</given-names></name> <name><surname>Porazzi</surname> <given-names>E</given-names></name></person-group>. <article-title>COVID-19 and hospital management costs: the Italian experience</article-title>. <source>BMC Health Serv Res</source>. (<year>2022</year>) <volume>22</volume>:<fpage>9</fpage>. <pub-id pub-id-type="doi">10.1186/s12913-022-08365-9</pub-id><pub-id pub-id-type="pmid">35922849</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Morales-Contreras</surname> <given-names>MF</given-names></name> <name><surname>Leporati</surname> <given-names>M</given-names></name> <name><surname>Fratocchi</surname> <given-names>L</given-names></name></person-group>. <article-title>The impact of COVID-19 on supply decision-makers: the case of personal protective equipment in Spanish hospitals</article-title>. <source>BMC Health Serv Res</source>. (<year>2021</year>) <volume>21</volume>:<fpage>1170</fpage>. <pub-id pub-id-type="doi">10.1186/s12913-021-07202-9</pub-id><pub-id pub-id-type="pmid">34711231</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kadri</surname> <given-names>SS</given-names></name> <name><surname>Gundrum</surname> <given-names>J</given-names></name> <name><surname>Warner</surname> <given-names>S</given-names></name> <name><surname>Cao</surname> <given-names>Z</given-names></name> <name><surname>Babiker</surname> <given-names>A</given-names></name> <name><surname>Klompas</surname> <given-names>M</given-names></name> <name><surname>Rosenthal</surname> <given-names>N</given-names></name></person-group>. <article-title>Uptake and accuracy of the diagnosis code for COVID-19 among US hospitalizations</article-title>. <source>JAMA</source>. (<year>2020</year>) <volume>324</volume>:<fpage>2553</fpage>&#x02013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1001/JAMA.2020.20323</pub-id><pub-id pub-id-type="pmid">33351033</pub-id></citation></ref>
</ref-list> 
</back>
</article> 