Association of prescribed medications with the risk of COVID-19 infection and severity among adults in South Korea.
Identifieur interne : 000719 ( Main/Exploration ); précédent : 000718; suivant : 000720Association of prescribed medications with the risk of COVID-19 infection and severity among adults in South Korea.
Auteurs : Kyungmin Huh [Corée du Sud] ; Wonjun Ji [Corée du Sud] ; Minsun Kang [Corée du Sud] ; Jinwook Hong [Corée du Sud] ; Gi Hwan Bae [Corée du Sud] ; Rugyeom Lee [Corée du Sud] ; Yewon Na [Corée du Sud] ; Jaehun Jung [Corée du Sud]Source :
- International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [ 1878-3511 ] ; 2021.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Antagonistes des récepteurs aux angiotensines (effets indésirables), Facteurs de risque (MeSH), Femelle (MeSH), Humains (MeSH), Hydroxychloroquine (effets indésirables), Indice de gravité de la maladie (MeSH), Modèles logistiques (MeSH), Mâle (MeSH), Prédisposition aux maladies (MeSH), Sujet âgé (MeSH), Études rétrospectives (MeSH).
- MESH :
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Angiotensin Receptor Antagonists (adverse effects), COVID-19 (etiology), Disease Susceptibility (MeSH), Female (MeSH), Humans (MeSH), Hydroxychloroquine (adverse effects), Logistic Models (MeSH), Male (MeSH), Middle Aged (MeSH), Retrospective Studies (MeSH), Risk Factors (MeSH), SARS-CoV-2 (MeSH), Severity of Illness Index (MeSH).
- MESH :
- chemical , adverse effects : Angiotensin Receptor Antagonists, Hydroxychloroquine.
- etiology : COVID-19.
- Adult, Aged, Disease Susceptibility, Female, Humans, Logistic Models, Male, Middle Aged, Retrospective Studies, Risk Factors, SARS-CoV-2, Severity of Illness Index.
Abstract
OBJECTIVES
Concerns have been expressed that some drugs may increase susceptibility to SARS-CoV-2 infection. In contrast, other drugs have generated interest as potential therapeutic agents.
METHODS
All adults aged ≥18 years who were tested for COVID-19 were included. Exposure was defined as a prescription of study drugs which would have been continued until 7 days prior to test for COVID-19 or later. The outcome measures were the diagnosis of COVID-19 and severe COVID-19. Disease risk score matching and multiple logistic regression was used.
RESULTS
Matched claims and testing results were available for 219,961 subjects, of whom 7,341 (3.34%) were diagnosed with COVID-19. Patients were matched to 36,705 controls, and the subset of 878 patients of severe COVID-19 also matched with 1,927 mild-to-moderate patients. Angiotensin receptor blockers were not associated with either the diagnosis of COVID-19 (adjusted OR [aOR], 1.02; 95% confidence interval [CI], 0.90-1.15) or severe disease (aOR, 1.11; 95% CI, 0.87-1.42). The use of hydroxychloroquine was not associated with a lower risk for COVID-19 (aOR, 0.94; 95% CI, 0.53-1.66) or severe disease (aOR, 3.51; 95% CI, 0.76-16.22).
CONCLUSIONS
In this national claims data-based case-control study, no commonly prescribed medications were associated with risk of COVID-19 infection or COVID-19 severity.
DOI: 10.1016/j.ijid.2020.12.041
PubMed: 33352326
PubMed Central: PMC7749643
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<series><title level="j">International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</title>
<idno type="eISSN">1878-3511</idno>
<imprint><date when="2021" type="published">2021</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Angiotensin Receptor Antagonists (adverse effects)</term>
<term>COVID-19 (etiology)</term>
<term>Disease Susceptibility (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Hydroxychloroquine (adverse effects)</term>
<term>Logistic Models (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Retrospective Studies (MeSH)</term>
<term>Risk Factors (MeSH)</term>
<term>SARS-CoV-2 (MeSH)</term>
<term>Severity of Illness Index (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Antagonistes des récepteurs aux angiotensines (effets indésirables)</term>
<term>Facteurs de risque (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Hydroxychloroquine (effets indésirables)</term>
<term>Indice de gravité de la maladie (MeSH)</term>
<term>Modèles logistiques (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Prédisposition aux maladies (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Études rétrospectives (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="adverse effects" xml:lang="en"><term>Angiotensin Receptor Antagonists</term>
<term>Hydroxychloroquine</term>
</keywords>
<keywords scheme="MESH" qualifier="effets indésirables" xml:lang="fr"><term>Antagonistes des récepteurs aux angiotensines</term>
<term>Hydroxychloroquine</term>
</keywords>
<keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>COVID-19</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Aged</term>
<term>Disease Susceptibility</term>
<term>Female</term>
<term>Humans</term>
<term>Logistic Models</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Retrospective Studies</term>
<term>Risk Factors</term>
<term>SARS-CoV-2</term>
<term>Severity of Illness Index</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Humains</term>
<term>Indice de gravité de la maladie</term>
<term>Modèles logistiques</term>
<term>Mâle</term>
<term>Prédisposition aux maladies</term>
<term>Sujet âgé</term>
<term>Études rétrospectives</term>
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<front><div type="abstract" xml:lang="en"><p><b>OBJECTIVES</b>
</p>
<p>Concerns have been expressed that some drugs may increase susceptibility to SARS-CoV-2 infection. In contrast, other drugs have generated interest as potential therapeutic agents.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>All adults aged ≥18 years who were tested for COVID-19 were included. Exposure was defined as a prescription of study drugs which would have been continued until 7 days prior to test for COVID-19 or later. The outcome measures were the diagnosis of COVID-19 and severe COVID-19. Disease risk score matching and multiple logistic regression was used.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Matched claims and testing results were available for 219,961 subjects, of whom 7,341 (3.34%) were diagnosed with COVID-19. Patients were matched to 36,705 controls, and the subset of 878 patients of severe COVID-19 also matched with 1,927 mild-to-moderate patients. Angiotensin receptor blockers were not associated with either the diagnosis of COVID-19 (adjusted OR [aOR], 1.02; 95% confidence interval [CI], 0.90-1.15) or severe disease (aOR, 1.11; 95% CI, 0.87-1.42). The use of hydroxychloroquine was not associated with a lower risk for COVID-19 (aOR, 0.94; 95% CI, 0.53-1.66) or severe disease (aOR, 3.51; 95% CI, 0.76-16.22).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>In this national claims data-based case-control study, no commonly prescribed medications were associated with risk of COVID-19 infection or COVID-19 severity.</p>
</div>
</front>
</TEI>
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<Day>06</Day>
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<Title>International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</Title>
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<ArticleTitle>Association of prescribed medications with the risk of COVID-19 infection and severity among adults in South Korea.</ArticleTitle>
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<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.ijid.2020.12.041</ELocationID>
<Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">Concerns have been expressed that some drugs may increase susceptibility to SARS-CoV-2 infection. In contrast, other drugs have generated interest as potential therapeutic agents.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">All adults aged ≥18 years who were tested for COVID-19 were included. Exposure was defined as a prescription of study drugs which would have been continued until 7 days prior to test for COVID-19 or later. The outcome measures were the diagnosis of COVID-19 and severe COVID-19. Disease risk score matching and multiple logistic regression was used.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Matched claims and testing results were available for 219,961 subjects, of whom 7,341 (3.34%) were diagnosed with COVID-19. Patients were matched to 36,705 controls, and the subset of 878 patients of severe COVID-19 also matched with 1,927 mild-to-moderate patients. Angiotensin receptor blockers were not associated with either the diagnosis of COVID-19 (adjusted OR [aOR], 1.02; 95% confidence interval [CI], 0.90-1.15) or severe disease (aOR, 1.11; 95% CI, 0.87-1.42). The use of hydroxychloroquine was not associated with a lower risk for COVID-19 (aOR, 0.94; 95% CI, 0.53-1.66) or severe disease (aOR, 3.51; 95% CI, 0.76-16.22).</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">In this national claims data-based case-control study, no commonly prescribed medications were associated with risk of COVID-19 infection or COVID-19 severity.</AbstractText>
<CopyrightInformation>Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Huh</LastName>
<ForeName>Kyungmin</ForeName>
<Initials>K</Initials>
<AffiliationInfo><Affiliation>Division of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Ji</LastName>
<ForeName>Wonjun</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kang</LastName>
<ForeName>Minsun</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, South Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hong</LastName>
<ForeName>Jinwook</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, South Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bae</LastName>
<ForeName>Gi Hwan</ForeName>
<Initials>GH</Initials>
<AffiliationInfo><Affiliation>Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, South Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lee</LastName>
<ForeName>Rugyeom</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, South Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Na</LastName>
<ForeName>Yewon</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, South Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Jung</LastName>
<ForeName>Jaehun</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, South Korea; Department of Preventive Medicine, Gachon University College of Medicine, Incheon, 21565, South Korea. Electronic address: eastside1st@gmail.com.</Affiliation>
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<Month>12</Month>
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<ISSNLinking>1201-9712</ISSNLinking>
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<Keyword MajorTopicYN="N">Disease risk score</Keyword>
<Keyword MajorTopicYN="N">Prophylaxis</Keyword>
<Keyword MajorTopicYN="N">South Korea</Keyword>
<Keyword MajorTopicYN="N">Treatment</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>09</Month>
<Day>16</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2020</Year>
<Month>12</Month>
<Day>15</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>12</Month>
<Day>15</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>12</Month>
<Day>23</Day>
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<PubMedPubDate PubStatus="medline"><Year>2021</Year>
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<Day>7</Day>
<Hour>6</Hour>
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<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
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<Hour>20</Hour>
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<ArticleIdList><ArticleId IdType="pubmed">33352326</ArticleId>
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<ArticleId IdType="doi">10.1016/j.ijid.2020.12.041</ArticleId>
<ArticleId IdType="pmc">PMC7749643</ArticleId>
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<affiliations><list><country><li>Corée du Sud</li>
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<tree><country name="Corée du Sud"><noRegion><name sortKey="Huh, Kyungmin" sort="Huh, Kyungmin" uniqKey="Huh K" first="Kyungmin" last="Huh">Kyungmin Huh</name>
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<name sortKey="Bae, Gi Hwan" sort="Bae, Gi Hwan" uniqKey="Bae G" first="Gi Hwan" last="Bae">Gi Hwan Bae</name>
<name sortKey="Hong, Jinwook" sort="Hong, Jinwook" uniqKey="Hong J" first="Jinwook" last="Hong">Jinwook Hong</name>
<name sortKey="Ji, Wonjun" sort="Ji, Wonjun" uniqKey="Ji W" first="Wonjun" last="Ji">Wonjun Ji</name>
<name sortKey="Jung, Jaehun" sort="Jung, Jaehun" uniqKey="Jung J" first="Jaehun" last="Jung">Jaehun Jung</name>
<name sortKey="Kang, Minsun" sort="Kang, Minsun" uniqKey="Kang M" first="Minsun" last="Kang">Minsun Kang</name>
<name sortKey="Lee, Rugyeom" sort="Lee, Rugyeom" uniqKey="Lee R" first="Rugyeom" last="Lee">Rugyeom Lee</name>
<name sortKey="Na, Yewon" sort="Na, Yewon" uniqKey="Na Y" first="Yewon" last="Na">Yewon Na</name>
</country>
</tree>
</affiliations>
</record>
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