Predictors for inpatient mortality during the first wave of the SARS-CoV-2 pandemic: A retrospective analysis.
Identifieur interne : 000036 ( Main/Corpus ); précédent : 000035; suivant : 000037Predictors for inpatient mortality during the first wave of the SARS-CoV-2 pandemic: A retrospective analysis.
Auteurs : Daniel Sammartino ; Farrukh Jafri ; Brennan Cook ; Lisa La ; Hyemin Kim ; John Cardasis ; Joshua RaffSource :
- PloS one [ 1932-6203 ] ; 2021.
Abstract
BACKGROUND
The coronavirus disease 2019 (COVID-19) pandemic overwhelmed healthcare systems, highlighting the need to better understand predictors of mortality and the impact of medical interventions.
METHODS
This retrospective cohort study examined data from every patient who tested positive for COVID-19 and was admitted to White Plains Hospital between March 9, 2020, and June 3, 2020. We used binomial logistic regression to analyze data for all patients, and propensity score matching for those treated with hydroxychloroquine and convalescent plasma (CP). The primary outcome of interest was inpatient mortality.
RESULTS
1,108 admitted patients with COVID-19 were available for analysis, of which 124 (11.2%) were excluded due to incomplete data. Of the 984 patients included, 225 (22.9%) died. Risk for death decreased for each day later a patient was admitted [OR 0.970, CI 0.955 to 0.985; p < 0.001]. Elevated initial C-reactive protein (CRP) value was associated with a higher risk for death at 96 hours [OR 1.007, 1.002 to 1.012; p = 0.006]. Hydroxychloroquine and CP administration were each associated with increased mortality [OR 3.4, CI 1.614 to 7.396; p = 0.002, OR 2.8560, CI 1.361 to 6.160; p = 0.006 respectively].
CONCLUSIONS
Elevated CRP carried significant odds of early death. Hydroxychloroquine and CP were each associated with higher risk for death, although CP was without titers and was administered at a median of five days from admission. Randomized or controlled studies will better describe the impact of CP. Mortality decreased as the pandemic progressed, suggesting that institutional capacity for dynamic evaluation of process and outcome measures may benefit COVID-19 survival.
DOI: 10.1371/journal.pone.0251262
PubMed: 33970955
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America.</nlm:affiliation></affiliation></author><author><name sortKey="La, Lisa" sort="La, Lisa" uniqKey="La L" first="Lisa" last="La">Lisa La</name><affiliation><nlm:affiliation>White Plains Hospital, White Plains, New York, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Kim, Hyemin" sort="Kim, Hyemin" uniqKey="Kim H" first="Hyemin" last="Kim">Hyemin Kim</name><affiliation><nlm:affiliation>White Plains Hospital, White Plains, New York, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Cardasis, John" sort="Cardasis, John" uniqKey="Cardasis J" first="John" last="Cardasis">John Cardasis</name><affiliation><nlm:affiliation>White Plains Hospital, White Plains, New York, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Raff, Joshua" sort="Raff, Joshua" uniqKey="Raff J" first="Joshua" last="Raff">Joshua Raff</name><affiliation><nlm:affiliation>White Plains Hospital, White Plains, New York, United States of America.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2021">2021</date><idno type="RBID">pubmed:33970955</idno><idno type="pmid">33970955</idno><idno type="doi">10.1371/journal.pone.0251262</idno><idno type="wicri:Area/Main/Corpus">000036</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000036</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Predictors for inpatient mortality during the first wave of the SARS-CoV-2 pandemic: A retrospective analysis.</title><author><name sortKey="Sammartino, Daniel" sort="Sammartino, Daniel" uniqKey="Sammartino D" first="Daniel" last="Sammartino">Daniel Sammartino</name><affiliation><nlm:affiliation>White Plains Hospital, White Plains, New York, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Jafri, Farrukh" sort="Jafri, Farrukh" uniqKey="Jafri F" first="Farrukh" last="Jafri">Farrukh Jafri</name><affiliation><nlm:affiliation>White Plains Hospital, White Plains, New York, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Cook, Brennan" sort="Cook, Brennan" uniqKey="Cook B" first="Brennan" last="Cook">Brennan Cook</name><affiliation><nlm:affiliation>Rutgers Robert Wood Johnson School of Medicine, New Brunswick, New Jersey, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="La, Lisa" sort="La, Lisa" uniqKey="La L" first="Lisa" last="La">Lisa La</name><affiliation><nlm:affiliation>White Plains Hospital, White Plains, New York, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Kim, Hyemin" sort="Kim, Hyemin" uniqKey="Kim H" first="Hyemin" last="Kim">Hyemin Kim</name><affiliation><nlm:affiliation>White Plains Hospital, White Plains, New York, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Cardasis, John" sort="Cardasis, John" uniqKey="Cardasis J" first="John" last="Cardasis">John Cardasis</name><affiliation><nlm:affiliation>White Plains Hospital, White Plains, New York, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Raff, Joshua" sort="Raff, Joshua" uniqKey="Raff J" first="Joshua" last="Raff">Joshua Raff</name><affiliation><nlm:affiliation>White Plains Hospital, White Plains, New York, United States of America.</nlm:affiliation></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2021" type="published">2021</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>The coronavirus disease 2019 (COVID-19) pandemic overwhelmed healthcare systems, highlighting the need to better understand predictors of mortality and the impact of medical interventions.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>This retrospective cohort study examined data from every patient who tested positive for COVID-19 and was admitted to White Plains Hospital between March 9, 2020, and June 3, 2020. We used binomial logistic regression to analyze data for all patients, and propensity score matching for those treated with hydroxychloroquine and convalescent plasma (CP). The primary outcome of interest was inpatient mortality.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>1,108 admitted patients with COVID-19 were available for analysis, of which 124 (11.2%) were excluded due to incomplete data. Of the 984 patients included, 225 (22.9%) died. Risk for death decreased for each day later a patient was admitted [OR 0.970, CI 0.955 to 0.985; p < 0.001]. Elevated initial C-reactive protein (CRP) value was associated with a higher risk for death at 96 hours [OR 1.007, 1.002 to 1.012; p = 0.006]. Hydroxychloroquine and CP administration were each associated with increased mortality [OR 3.4, CI 1.614 to 7.396; p = 0.002, OR 2.8560, CI 1.361 to 6.160; p = 0.006 respectively].</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Elevated CRP carried significant odds of early death. Hydroxychloroquine and CP were each associated with higher risk for death, although CP was without titers and was administered at a median of five days from admission. Randomized or controlled studies will better describe the impact of CP. Mortality decreased as the pandemic progressed, suggesting that institutional capacity for dynamic evaluation of process and outcome measures may benefit COVID-19 survival.</p></div></front></TEI><pubmed><MedlineCitation Status="In-Process" Owner="NLM"><PMID Version="1">33970955</PMID><DateRevised><Year>2021</Year><Month>05</Month><Day>13</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>16</Volume><Issue>5</Issue><PubDate><Year>2021</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>Predictors for inpatient mortality during the first wave of the SARS-CoV-2 pandemic: A retrospective analysis.</ArticleTitle><Pagination><MedlinePgn>e0251262</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0251262</ELocationID><Abstract><AbstractText Label="BACKGROUND">The coronavirus disease 2019 (COVID-19) pandemic overwhelmed healthcare systems, highlighting the need to better understand predictors of mortality and the impact of medical interventions.</AbstractText><AbstractText Label="METHODS">This retrospective cohort study examined data from every patient who tested positive for COVID-19 and was admitted to White Plains Hospital between March 9, 2020, and June 3, 2020. We used binomial logistic regression to analyze data for all patients, and propensity score matching for those treated with hydroxychloroquine and convalescent plasma (CP). The primary outcome of interest was inpatient mortality.</AbstractText><AbstractText Label="RESULTS">1,108 admitted patients with COVID-19 were available for analysis, of which 124 (11.2%) were excluded due to incomplete data. Of the 984 patients included, 225 (22.9%) died. Risk for death decreased for each day later a patient was admitted [OR 0.970, CI 0.955 to 0.985; p < 0.001]. Elevated initial C-reactive protein (CRP) value was associated with a higher risk for death at 96 hours [OR 1.007, 1.002 to 1.012; p = 0.006]. Hydroxychloroquine and CP administration were each associated with increased mortality [OR 3.4, CI 1.614 to 7.396; p = 0.002, OR 2.8560, CI 1.361 to 6.160; p = 0.006 respectively].</AbstractText><AbstractText Label="CONCLUSIONS">Elevated CRP carried significant odds of early death. Hydroxychloroquine and CP were each associated with higher risk for death, although CP was without titers and was administered at a median of five days from admission. Randomized or controlled studies will better describe the impact of CP. Mortality decreased as the pandemic progressed, suggesting that institutional capacity for dynamic evaluation of process and outcome measures may benefit COVID-19 survival.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Sammartino</LastName><ForeName>Daniel</ForeName><Initials>D</Initials><Identifier Source="ORCID">0000-0003-2932-5012</Identifier><AffiliationInfo><Affiliation>White Plains Hospital, White Plains, New York, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jafri</LastName><ForeName>Farrukh</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>White Plains Hospital, White Plains, New York, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cook</LastName><ForeName>Brennan</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Rutgers Robert Wood Johnson School of Medicine, New Brunswick, New Jersey, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>La</LastName><ForeName>Lisa</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>White Plains Hospital, White Plains, New York, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kim</LastName><ForeName>Hyemin</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>White Plains Hospital, White Plains, New York, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cardasis</LastName><ForeName>John</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>White Plains Hospital, White Plains, New York, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Raff</LastName><ForeName>Joshua</ForeName><Initials>J</Initials><Identifier Source="ORCID">0000-0001-6934-2170</Identifier><AffiliationInfo><Affiliation>White Plains Hospital, White Plains, New York, United States of America.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2021</Year><Month>05</Month><Day>10</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CoiStatement>The authors have declared that no competing interests exist.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2021</Year><Month>01</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2021</Year><Month>04</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2021</Year><Month>5</Month><Day>10</Day><Hour>18</Hour><Minute>3</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2021</Year><Month>5</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2021</Year><Month>5</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">33970955</ArticleId><ArticleId IdType="doi">10.1371/journal.pone.0251262</ArticleId><ArticleId IdType="pii">PONE-D-21-01444</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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