Serveur d'exploration COVID et hydrochloroquine

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Prolonged QT predicts prognosis in COVID-19.

Identifieur interne : 000247 ( Main/Exploration ); précédent : 000246; suivant : 000248

Prolonged QT predicts prognosis in COVID-19.

Auteurs : Zaki Akhtar [Royaume-Uni] ; Mark M. Gallagher [Royaume-Uni] ; Yee Guan Yap [Malaisie] ; Lisa W M. Leung [Royaume-Uni] ; Ahmed I. Elbatran [Royaume-Uni] ; Brendan Madden [Royaume-Uni] ; Victoria Ewasiuk [Royaume-Uni] ; Louise Gregory [Royaume-Uni] ; Aodhan Breathnach [Royaume-Uni] ; Zhong Chen [Royaume-Uni] ; David S. Fluck [Royaume-Uni] ; Sumeet Sharma [Royaume-Uni]

Source :

RBID : pubmed:33792080

Descripteurs français

English descriptors

Abstract

BACKGROUND

Coronavirus disease-2019 (COVID-19) causes severe illness and multi-organ dysfunction. An abnormal electrocardiogram is associated with poor outcome, and QT prolongation during the illness has been linked to pharmacological effects. This study sought to investigate the effects of the COVID-19 illness on the corrected QT interval (QTc).

METHOD

For 293 consecutive patients admitted to our hospital via the emergency department for COVID-19 between 01/03/20 -18/05/20, demographic data, laboratory findings, admission electrocardiograph and clinical observations were compared in those who survived and those who died within 6 weeks. Hospital records were reviewed for prior electrocardiograms for comparison with those recorded on presentation with COVID-19.

RESULTS

Patients who died were older than survivors (82 vs 69.8 years, p < 0.001), more likely to have cancer (22.3% vs 13.1%, p = 0.034), dementia (25.6% vs 10.7%, p = 0.034) and ischemic heart disease (27.8% vs 10.7%, p < 0.001). Deceased patients exhibited higher levels of C-reactive protein (244.6 mg/L vs 146.5 mg/L, p < 0.01), troponin (1982.4 ng/L vs 413.4 ng/L, p = 0.017), with a significantly longer QTc interval (461.1 ms vs 449.3 ms, p = 0.007). Pre-COVID electrocardiograms were located for 172 patients; the QTc recorded on presentation with COVID-19 was longer than the prior measurement in both groups, but was more prolonged in the deceased group (448.4 ms vs 472.9 ms, pre-COVID vs COVID, p < 0.01). Multivariate Cox-regression analysis revealed age, C-reactive protein and prolonged QTc of >455 ms (males) and >465 ms (females) (p = 0.028, HR 1.49 [1.04-2.13]), as predictors of mortality. QTc prolongation beyond these dichotomy limits was associated with increased mortality risk (p = 0.0027, HR 1.78 [1.2-2.6]).

CONCLUSION

QTc prolongation occurs in COVID-19 illness and is associated with poor outcome.


DOI: 10.1111/pace.14232
PubMed: 33792080


Affiliations:


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<name sortKey="Gregory, Louise" sort="Gregory, Louise" uniqKey="Gregory L" first="Louise" last="Gregory">Louise Gregory</name>
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<nlm:affiliation>Department of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.</nlm:affiliation>
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<term>Azithromycin (MeSH)</term>
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<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Hydroxychloroquine (MeSH)</term>
<term>Long QT Syndrome (diagnosis)</term>
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<term>Azithromycine (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Hydroxychloroquine (MeSH)</term>
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<term>Pronostic (MeSH)</term>
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<term>Électrocardiographie (MeSH)</term>
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<term>Azithromycin</term>
<term>Hydroxychloroquine</term>
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<term>Long QT Syndrome</term>
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<term>Syndrome du QT long</term>
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<term>COVID-19</term>
<term>Electrocardiography</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Prognosis</term>
<term>SARS-CoV-2</term>
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<term>Azithromycine</term>
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<term>Hydroxychloroquine</term>
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<div type="abstract" xml:lang="en">
<p>
<b>BACKGROUND</b>
</p>
<p>Coronavirus disease-2019 (COVID-19) causes severe illness and multi-organ dysfunction. An abnormal electrocardiogram is associated with poor outcome, and QT prolongation during the illness has been linked to pharmacological effects. This study sought to investigate the effects of the COVID-19 illness on the corrected QT interval (QTc).</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHOD</b>
</p>
<p>For 293 consecutive patients admitted to our hospital via the emergency department for COVID-19 between 01/03/20 -18/05/20, demographic data, laboratory findings, admission electrocardiograph and clinical observations were compared in those who survived and those who died within 6 weeks. Hospital records were reviewed for prior electrocardiograms for comparison with those recorded on presentation with COVID-19.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>Patients who died were older than survivors (82 vs 69.8 years, p < 0.001), more likely to have cancer (22.3% vs 13.1%, p = 0.034), dementia (25.6% vs 10.7%, p = 0.034) and ischemic heart disease (27.8% vs 10.7%, p < 0.001). Deceased patients exhibited higher levels of C-reactive protein (244.6 mg/L vs 146.5 mg/L, p < 0.01), troponin (1982.4 ng/L vs 413.4 ng/L, p = 0.017), with a significantly longer QTc interval (461.1 ms vs 449.3 ms, p = 0.007). Pre-COVID electrocardiograms were located for 172 patients; the QTc recorded on presentation with COVID-19 was longer than the prior measurement in both groups, but was more prolonged in the deceased group (448.4 ms vs 472.9 ms, pre-COVID vs COVID, p < 0.01). Multivariate Cox-regression analysis revealed age, C-reactive protein and prolonged QTc of >455 ms (males) and >465 ms (females) (p = 0.028, HR 1.49 [1.04-2.13]), as predictors of mortality. QTc prolongation beyond these dichotomy limits was associated with increased mortality risk (p = 0.0027, HR 1.78 [1.2-2.6]).</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSION</b>
</p>
<p>QTc prolongation occurs in COVID-19 illness and is associated with poor outcome.</p>
</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM">
<PMID Version="1">33792080</PMID>
<DateCompleted>
<Year>2021</Year>
<Month>05</Month>
<Day>12</Day>
</DateCompleted>
<DateRevised>
<Year>2021</Year>
<Month>05</Month>
<Day>12</Day>
</DateRevised>
<Article PubModel="Print-Electronic">
<Journal>
<ISSN IssnType="Electronic">1540-8159</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>44</Volume>
<Issue>5</Issue>
<PubDate>
<Year>2021</Year>
<Month>05</Month>
</PubDate>
</JournalIssue>
<Title>Pacing and clinical electrophysiology : PACE</Title>
<ISOAbbreviation>Pacing Clin Electrophysiol</ISOAbbreviation>
</Journal>
<ArticleTitle>Prolonged QT predicts prognosis in COVID-19.</ArticleTitle>
<Pagination>
<MedlinePgn>875-882</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1111/pace.14232</ELocationID>
<Abstract>
<AbstractText Label="BACKGROUND">Coronavirus disease-2019 (COVID-19) causes severe illness and multi-organ dysfunction. An abnormal electrocardiogram is associated with poor outcome, and QT prolongation during the illness has been linked to pharmacological effects. This study sought to investigate the effects of the COVID-19 illness on the corrected QT interval (QTc).</AbstractText>
<AbstractText Label="METHOD">For 293 consecutive patients admitted to our hospital via the emergency department for COVID-19 between 01/03/20 -18/05/20, demographic data, laboratory findings, admission electrocardiograph and clinical observations were compared in those who survived and those who died within 6 weeks. Hospital records were reviewed for prior electrocardiograms for comparison with those recorded on presentation with COVID-19.</AbstractText>
<AbstractText Label="RESULTS">Patients who died were older than survivors (82 vs 69.8 years, p < 0.001), more likely to have cancer (22.3% vs 13.1%, p = 0.034), dementia (25.6% vs 10.7%, p = 0.034) and ischemic heart disease (27.8% vs 10.7%, p < 0.001). Deceased patients exhibited higher levels of C-reactive protein (244.6 mg/L vs 146.5 mg/L, p < 0.01), troponin (1982.4 ng/L vs 413.4 ng/L, p = 0.017), with a significantly longer QTc interval (461.1 ms vs 449.3 ms, p = 0.007). Pre-COVID electrocardiograms were located for 172 patients; the QTc recorded on presentation with COVID-19 was longer than the prior measurement in both groups, but was more prolonged in the deceased group (448.4 ms vs 472.9 ms, pre-COVID vs COVID, p < 0.01). Multivariate Cox-regression analysis revealed age, C-reactive protein and prolonged QTc of >455 ms (males) and >465 ms (females) (p = 0.028, HR 1.49 [1.04-2.13]), as predictors of mortality. QTc prolongation beyond these dichotomy limits was associated with increased mortality risk (p = 0.0027, HR 1.78 [1.2-2.6]).</AbstractText>
<AbstractText Label="CONCLUSION">QTc prolongation occurs in COVID-19 illness and is associated with poor outcome.</AbstractText>
<CopyrightInformation>© 2021 Wiley Periodicals LLC.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Akhtar</LastName>
<ForeName>Zaki</ForeName>
<Initials>Z</Initials>
<Identifier Source="ORCID">0000-0002-9365-8826</Identifier>
<AffiliationInfo>
<Affiliation>Department of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Cardiology, St George's University Hospital, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Gallagher</LastName>
<ForeName>Mark M</ForeName>
<Initials>MM</Initials>
<Identifier Source="ORCID">0000-0002-6333-6420</Identifier>
<AffiliationInfo>
<Affiliation>Department of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Cardiology, St George's University Hospital, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Yap</LastName>
<ForeName>Yee Guan</ForeName>
<Initials>YG</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiology, Sunway Medical Centre, Sunway City, Selangor, Malaysia.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Leung</LastName>
<ForeName>Lisa W M</ForeName>
<Initials>LWM</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiology, St George's University Hospital, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Elbatran</LastName>
<ForeName>Ahmed I</ForeName>
<Initials>AI</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiology, St George's University Hospital, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Madden</LastName>
<ForeName>Brendan</ForeName>
<Initials>B</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiology, St George's University Hospital, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Ewasiuk</LastName>
<ForeName>Victoria</ForeName>
<Initials>V</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Gregory</LastName>
<ForeName>Louise</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Breathnach</LastName>
<ForeName>Aodhan</ForeName>
<Initials>A</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiology, St George's University Hospital, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Chen</LastName>
<ForeName>Zhong</ForeName>
<Initials>Z</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Fluck</LastName>
<ForeName>David S</ForeName>
<Initials>DS</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Sharma</LastName>
<ForeName>Sumeet</ForeName>
<Initials>S</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Biological Sciences, Royal Holloway University of London, Egham, UK.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
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<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
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<ArticleDate DateType="Electronic">
<Year>2021</Year>
<Month>04</Month>
<Day>13</Day>
</ArticleDate>
</Article>
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<Country>United States</Country>
<MedlineTA>Pacing Clin Electrophysiol</MedlineTA>
<NlmUniqueID>7803944</NlmUniqueID>
<ISSNLinking>0147-8389</ISSNLinking>
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<Chemical>
<RegistryNumber>4QWG6N8QKH</RegistryNumber>
<NameOfSubstance UI="D006886">Hydroxychloroquine</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>83905-01-5</RegistryNumber>
<NameOfSubstance UI="D017963">Azithromycin</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
<CommentsCorrectionsList>
<CommentsCorrections RefType="CommentOn">
<RefSource>J Interv Card Electrophysiol. 2020 Dec;59(3):485-493</RefSource>
<PMID Version="1">33128658</PMID>
</CommentsCorrections>
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<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D017963" MajorTopicYN="N">Azithromycin</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000086382" MajorTopicYN="Y">COVID-19</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D004562" MajorTopicYN="N">Electrocardiography</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006886" MajorTopicYN="N">Hydroxychloroquine</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008133" MajorTopicYN="Y">Long QT Syndrome</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011379" MajorTopicYN="N">Prognosis</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000086402" MajorTopicYN="N">SARS-CoV-2</DescriptorName>
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<Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">Sars-Cov-2</Keyword>
<Keyword MajorTopicYN="Y">electrocardiogram</Keyword>
<Keyword MajorTopicYN="Y">mortality</Keyword>
<Keyword MajorTopicYN="Y">prolonged QTc</Keyword>
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<History>
<PubMedPubDate PubStatus="revised">
<Year>2021</Year>
<Month>03</Month>
<Day>08</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="received">
<Year>2020</Year>
<Month>12</Month>
<Day>31</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2021</Year>
<Month>03</Month>
<Day>21</Day>
</PubMedPubDate>
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<Month>4</Month>
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<ReferenceList>
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</ReferenceList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>Malaisie</li>
<li>Royaume-Uni</li>
</country>
<region>
<li>Angleterre</li>
<li>Grand Londres</li>
</region>
<settlement>
<li>Londres</li>
</settlement>
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<li>Université de Londres</li>
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<name sortKey="Chen, Zhong" sort="Chen, Zhong" uniqKey="Chen Z" first="Zhong" last="Chen">Zhong Chen</name>
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<name sortKey="Ewasiuk, Victoria" sort="Ewasiuk, Victoria" uniqKey="Ewasiuk V" first="Victoria" last="Ewasiuk">Victoria Ewasiuk</name>
<name sortKey="Fluck, David S" sort="Fluck, David S" uniqKey="Fluck D" first="David S" last="Fluck">David S. Fluck</name>
<name sortKey="Gallagher, Mark M" sort="Gallagher, Mark M" uniqKey="Gallagher M" first="Mark M" last="Gallagher">Mark M. Gallagher</name>
<name sortKey="Gallagher, Mark M" sort="Gallagher, Mark M" uniqKey="Gallagher M" first="Mark M" last="Gallagher">Mark M. Gallagher</name>
<name sortKey="Gregory, Louise" sort="Gregory, Louise" uniqKey="Gregory L" first="Louise" last="Gregory">Louise Gregory</name>
<name sortKey="Leung, Lisa W M" sort="Leung, Lisa W M" uniqKey="Leung L" first="Lisa W M" last="Leung">Lisa W M. Leung</name>
<name sortKey="Madden, Brendan" sort="Madden, Brendan" uniqKey="Madden B" first="Brendan" last="Madden">Brendan Madden</name>
<name sortKey="Sharma, Sumeet" sort="Sharma, Sumeet" uniqKey="Sharma S" first="Sumeet" last="Sharma">Sumeet Sharma</name>
<name sortKey="Sharma, Sumeet" sort="Sharma, Sumeet" uniqKey="Sharma S" first="Sumeet" last="Sharma">Sumeet Sharma</name>
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<noRegion>
<name sortKey="Yap, Yee Guan" sort="Yap, Yee Guan" uniqKey="Yap Y" first="Yee Guan" last="Yap">Yee Guan Yap</name>
</noRegion>
</country>
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</affiliations>
</record>

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