Risk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practice.
Identifieur interne : 000187 ( Main/Corpus ); précédent : 000186; suivant : 000188Risk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practice.
Auteurs : Byung Jin Choi ; Yeryung Koo ; Tae Young Kim ; Wou Young Chung ; Yun Jung Jung ; Ji Eun Park ; Hong-Seok Lim ; Bumhee Park ; Dukyong YoonSource :
- Scientific reports [ 2045-2322 ] ; 2021.
English descriptors
- KwdEn :
- COVID-19 (drug therapy), COVID-19 (virology), Case-Control Studies (MeSH), Drug Interactions (MeSH), Electrocardiography (MeSH), Humans (MeSH), Hydroxychloroquine (administration & dosage), Hydroxychloroquine (adverse effects), Long QT Syndrome (chemically induced), Long QT Syndrome (physiopathology), Retrospective Studies (MeSH), Risk Factors (MeSH), SARS-CoV-2 (isolation & purification).
- MESH :
- chemical , administration & dosage : Hydroxychloroquine.
- chemical , adverse effects : Hydroxychloroquine.
- chemically induced : Long QT Syndrome.
- drug therapy : COVID-19.
- isolation & purification : SARS-CoV-2.
- physiopathology : Long QT Syndrome.
- virology : COVID-19.
- Case-Control Studies, Drug Interactions, Electrocardiography, Humans, Retrospective Studies, Risk Factors.
Abstract
Hydroxychloroquine has recently received attention as a treatment for COVID-19. However, it may prolong the QTc interval. Furthermore, when hydroxychloroquine is administered concomitantly with other drugs, it can exacerbate the risk of QT prolongation. Nevertheless, the risk of QT prolongation due to drug-drug interactions (DDIs) between hydroxychloroquine and concomitant medications has not yet been identified. To evaluate the risk of QT prolongation due to DDIs between hydroxychloroquine and 118 concurrent drugs frequently used in real-world practice, we analyzed the electrocardiogram results obtained for 447,632 patients and their relevant electronic health records in a tertiary teaching hospital in Korea from 1996 to 2018. We repeated the case-control analysis for each drug. In each analysis, we performed multiple logistic regression and calculated the odds ratio (OR) for each target drug, hydroxychloroquine, and the interaction terms between those two drugs. The DDIs were observed in 12 drugs (trimebutine, tacrolimus, tramadol, rosuvastatin, cyclosporin, sulfasalazine, rofecoxib, diltiazem, piperacillin/tazobactam, isoniazid, clarithromycin, and furosemide), all with a p value of < 0.05 (OR 1.70-17.85). In conclusion, we found 12 drugs that showed DDIs with hydroxychloroquine in the direction of increasing QT prolongation.
DOI: 10.1038/s41598-021-86321-z
PubMed: 33767276
PubMed Central: PMC7994840
Links to Exploration step
pubmed:33767276Le document en format XML
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Republic of Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Kim, Tae Young" sort="Kim, Tae Young" uniqKey="Kim T" first="Tae Young" last="Kim">Tae Young Kim</name><affiliation><nlm:affiliation>Department of Biomedical Informatics, Ajou University School of Medicine, 206, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Chung, Wou Young" sort="Chung, Wou Young" uniqKey="Chung W" first="Wou Young" last="Chung">Wou Young Chung</name><affiliation><nlm:affiliation>Department of Pulmonology and Critical Care Medicine, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Jung, Yun Jung" sort="Jung, Yun Jung" uniqKey="Jung Y" first="Yun Jung" last="Jung">Yun Jung Jung</name><affiliation><nlm:affiliation>Department of Pulmonology and Critical Care Medicine, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Park, Ji Eun" sort="Park, Ji Eun" uniqKey="Park J" first="Ji Eun" last="Park">Ji Eun Park</name><affiliation><nlm:affiliation>Department of Pulmonology and Critical Care Medicine, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Lim, Hong Seok" sort="Lim, Hong Seok" uniqKey="Lim H" first="Hong-Seok" last="Lim">Hong-Seok Lim</name><affiliation><nlm:affiliation>Department of Cardiology, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Park, Bumhee" sort="Park, Bumhee" uniqKey="Park B" first="Bumhee" last="Park">Bumhee Park</name><affiliation><nlm:affiliation>Department of Biomedical Informatics, Ajou University School of Medicine, 206, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea. bhpark@ajou.ac.kr.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, Gyeonggi-do, Republic of Korea. bhpark@ajou.ac.kr.</nlm:affiliation></affiliation></author><author><name sortKey="Yoon, Dukyong" sort="Yoon, Dukyong" uniqKey="Yoon D" first="Dukyong" last="Yoon">Dukyong Yoon</name><affiliation><nlm:affiliation>Department of Biomedical Informatics, Ajou University School of Medicine, 206, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea. dukyong.yoon@yonsei.ac.kr.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea. dukyong.yoon@yonsei.ac.kr.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Scientific reports</title><idno type="eISSN">2045-2322</idno><imprint><date when="2021" type="published">2021</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>COVID-19 (drug therapy)</term><term>COVID-19 (virology)</term><term>Case-Control Studies (MeSH)</term><term>Drug Interactions (MeSH)</term><term>Electrocardiography (MeSH)</term><term>Humans (MeSH)</term><term>Hydroxychloroquine (administration & dosage)</term><term>Hydroxychloroquine (adverse effects)</term><term>Long QT Syndrome (chemically induced)</term><term>Long QT Syndrome (physiopathology)</term><term>Retrospective Studies (MeSH)</term><term>Risk Factors (MeSH)</term><term>SARS-CoV-2 (isolation & purification)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="administration & dosage" xml:lang="en"><term>Hydroxychloroquine</term></keywords><keywords scheme="MESH" type="chemical" qualifier="adverse effects" xml:lang="en"><term>Hydroxychloroquine</term></keywords><keywords scheme="MESH" qualifier="chemically induced" xml:lang="en"><term>Long QT Syndrome</term></keywords><keywords scheme="MESH" qualifier="drug therapy" xml:lang="en"><term>COVID-19</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>SARS-CoV-2</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Long QT Syndrome</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>COVID-19</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Case-Control Studies</term><term>Drug Interactions</term><term>Electrocardiography</term><term>Humans</term><term>Retrospective Studies</term><term>Risk Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Hydroxychloroquine has recently received attention as a treatment for COVID-19. However, it may prolong the QTc interval. Furthermore, when hydroxychloroquine is administered concomitantly with other drugs, it can exacerbate the risk of QT prolongation. Nevertheless, the risk of QT prolongation due to drug-drug interactions (DDIs) between hydroxychloroquine and concomitant medications has not yet been identified. To evaluate the risk of QT prolongation due to DDIs between hydroxychloroquine and 118 concurrent drugs frequently used in real-world practice, we analyzed the electrocardiogram results obtained for 447,632 patients and their relevant electronic health records in a tertiary teaching hospital in Korea from 1996 to 2018. We repeated the case-control analysis for each drug. In each analysis, we performed multiple logistic regression and calculated the odds ratio (OR) for each target drug, hydroxychloroquine, and the interaction terms between those two drugs. The DDIs were observed in 12 drugs (trimebutine, tacrolimus, tramadol, rosuvastatin, cyclosporin, sulfasalazine, rofecoxib, diltiazem, piperacillin/tazobactam, isoniazid, clarithromycin, and furosemide), all with a p value of < 0.05 (OR 1.70-17.85). In conclusion, we found 12 drugs that showed DDIs with hydroxychloroquine in the direction of increasing QT prolongation.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">33767276</PMID><DateCompleted><Year>2021</Year><Month>04</Month><Day>14</Day></DateCompleted><DateRevised><Year>2021</Year><Month>04</Month><Day>14</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2045-2322</ISSN><JournalIssue CitedMedium="Internet"><Volume>11</Volume><Issue>1</Issue><PubDate><Year>2021</Year><Month>03</Month><Day>25</Day></PubDate></JournalIssue><Title>Scientific reports</Title><ISOAbbreviation>Sci Rep</ISOAbbreviation></Journal><ArticleTitle>Risk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practice.</ArticleTitle><Pagination><MedlinePgn>6918</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/s41598-021-86321-z</ELocationID><Abstract><AbstractText>Hydroxychloroquine has recently received attention as a treatment for COVID-19. However, it may prolong the QTc interval. Furthermore, when hydroxychloroquine is administered concomitantly with other drugs, it can exacerbate the risk of QT prolongation. Nevertheless, the risk of QT prolongation due to drug-drug interactions (DDIs) between hydroxychloroquine and concomitant medications has not yet been identified. To evaluate the risk of QT prolongation due to DDIs between hydroxychloroquine and 118 concurrent drugs frequently used in real-world practice, we analyzed the electrocardiogram results obtained for 447,632 patients and their relevant electronic health records in a tertiary teaching hospital in Korea from 1996 to 2018. We repeated the case-control analysis for each drug. In each analysis, we performed multiple logistic regression and calculated the odds ratio (OR) for each target drug, hydroxychloroquine, and the interaction terms between those two drugs. The DDIs were observed in 12 drugs (trimebutine, tacrolimus, tramadol, rosuvastatin, cyclosporin, sulfasalazine, rofecoxib, diltiazem, piperacillin/tazobactam, isoniazid, clarithromycin, and furosemide), all with a p value of < 0.05 (OR 1.70-17.85). In conclusion, we found 12 drugs that showed DDIs with hydroxychloroquine in the direction of increasing QT prolongation.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y" EqualContrib="Y"><LastName>Choi</LastName><ForeName>Byung Jin</ForeName><Initials>BJ</Initials><AffiliationInfo><Affiliation>Department of Biomedical Informatics, Ajou University School of Medicine, 206, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Koo</LastName><ForeName>Yeryung</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Biomedical Informatics, Ajou University School of Medicine, 206, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kim</LastName><ForeName>Tae Young</ForeName><Initials>TY</Initials><AffiliationInfo><Affiliation>Department of Biomedical Informatics, Ajou University School of Medicine, 206, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chung</LastName><ForeName>Wou Young</ForeName><Initials>WY</Initials><AffiliationInfo><Affiliation>Department of Pulmonology and Critical Care Medicine, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jung</LastName><ForeName>Yun Jung</ForeName><Initials>YJ</Initials><AffiliationInfo><Affiliation>Department of Pulmonology and Critical Care Medicine, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Park</LastName><ForeName>Ji Eun</ForeName><Initials>JE</Initials><AffiliationInfo><Affiliation>Department of Pulmonology and Critical Care Medicine, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lim</LastName><ForeName>Hong-Seok</ForeName><Initials>HS</Initials><AffiliationInfo><Affiliation>Department of Cardiology, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Park</LastName><ForeName>Bumhee</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Department of Biomedical Informatics, Ajou University School of Medicine, 206, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea. bhpark@ajou.ac.kr.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, Gyeonggi-do, Republic of Korea. bhpark@ajou.ac.kr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yoon</LastName><ForeName>Dukyong</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Biomedical Informatics, Ajou University School of Medicine, 206, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea. dukyong.yoon@yonsei.ac.kr.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea. dukyong.yoon@yonsei.ac.kr.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>19182MFDS406</GrantID><Agency>Ministry of Food and Drug Safety</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2021</Year><Month>03</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Sci Rep</MedlineTA><NlmUniqueID>101563288</NlmUniqueID><ISSNLinking>2045-2322</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>4QWG6N8QKH</RegistryNumber><NameOfSubstance UI="D006886">Hydroxychloroquine</NameOfSubstance></Chemical></ChemicalList><SupplMeshList><SupplMeshName Type="Protocol" UI="C000705127">COVID-19 drug treatment</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName><QualifierName UI="Q000188" MajorTopicYN="Y">drug therapy</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016022" MajorTopicYN="N">Case-Control Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004347" MajorTopicYN="N">Drug Interactions</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004562" MajorTopicYN="N">Electrocardiography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006886" MajorTopicYN="N">Hydroxychloroquine</DescriptorName><QualifierName UI="Q000008" MajorTopicYN="N">administration & dosage</QualifierName><QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008133" MajorTopicYN="N">Long QT Syndrome</DescriptorName><QualifierName UI="Q000139" MajorTopicYN="Y">chemically induced</QualifierName><QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk 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HfdSelect -h $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd -nk 000187 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= CovidChloroV1
|flux= Main
|étape= Corpus
|type= RBID
|clé= pubmed:33767276
|texte= Risk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practice.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Corpus/RBID.i -Sk "pubmed:33767276" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a CovidChloroV1
| This area was generated with Dilib version V0.6.38. |  |