Prediction of intensive care admission and hospital mortality in COVID-19 patients using demographics and baseline laboratory data

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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorAVELINO-SILVA, Vivian I.
dc.contributor.authorAVELINO-SILVA, Thiago J.
dc.contributor.authorALIBERTI, Marlon J. R.
dc.contributor.authorFERREIRA, Juliana C.
dc.contributor.authorCOBELLO JUNIOR, Vilson
dc.contributor.authorSILVA, Katia R.
dc.contributor.authorPOMPEU, Jose E.
dc.contributor.authorANTONANGELO, Leila
dc.contributor.authorMAGRI, Marcello M.
dc.contributor.authorBARROS FILHO, Tarcisio E. P.
dc.contributor.authorSOUZA, Heraldo P.
dc.contributor.authorKALLAS, Esper G.
dc.contributor.groupauthorHCFMUSP COVID-19 Study Grp
dc.date.accessioned2023-06-21T14:08:00Z
dc.date.available2023-06-21T14:08:00Z
dc.date.issued2023
dc.description.abstractIntroduction: Optimized allocation of medical resources to patients with COVID-19 has been a critical concern since the onset of the pandemic.Methods: In this retrospective cohort study, the authors used data from a Brazilian tertiary university hospital to explore predictors of Intensive Care Unit (ICU) admission and hospital mortality in patients admitted for COVID19. Our primary aim was to create and validate prediction scores for use in hospitals and emergency departments to aid clinical decisions and resource allocation. Results: The study cohort included 3,022 participants, of whom 2,485 were admitted to the ICU; 1968 survived, and 1054 died in the hospital. From the complete cohort, 1,496 patients were randomly assigned to the derivation sample and 1,526 to the validation sample. The final scores included age, comorbidities, and baseline laboratory data. The areas under the receiver operating characteristic curves were very similar for the derivation and validation samples. Scores for ICU admission had a 75% accuracy in the validation sample, whereas scores for death had a 77% accuracy in the validation sample. The authors found that including baseline flu-like symptoms in the scores added no significant benefit to their accuracy. Furthermore, our scores were more accurate than the previously published NEWS-2 and 4C Mortality Scores.Discussion and conclusions: The authors developed and validated prognostic scores that use readily available clinical and laboratory information to predict ICU admission and mortality in COVID-19. These scores can become valuable tools to support clinical decisions and improve the allocation of limited health resources.eng
dc.description.indexMEDLINE
dc.description.indexPubMed
dc.description.indexWoS
dc.description.indexScopus
dc.description.indexScielo
dc.description.sponsorshipHCFMUSP
dc.identifier.citationCLINICS, v.78, article ID 100183, 8p, 2023
dc.identifier.doi10.1016/j.clinsp.2023.100183
dc.identifier.eissn1980-5322
dc.identifier.issn1807-5932
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/53890
dc.language.isoeng
dc.publisherELSEVIER ESPANAeng
dc.relation.ispartofClinics
dc.rightsopenAccesseng
dc.rights.holderCopyright ELSEVIER ESPANAeng
dc.subjectCOVID-19eng
dc.subjectSARS-CoV-2eng
dc.subjectCritical Careeng
dc.subjectMortalityeng
dc.subjectIntensive Careeng
dc.subjectRisk Scoreeng
dc.subjectPredictioneng
dc.subject.wosMedicine, General & Internaleng
dc.titlePrediction of intensive care admission and hospital mortality in COVID-19 patients using demographics and baseline laboratory dataeng
dc.typearticleeng
dc.type.categoryoriginal articleeng
dc.type.versionpublishedVersioneng
dspace.entity.typePublication
hcfmusp.citation.scopus2
hcfmusp.contributor.author-fmusphcVIVIAN HELENA IIDA AVELINO DA SILVA
hcfmusp.contributor.author-fmusphcTHIAGO JUNQUEIRA AVELINO DA SILVA
hcfmusp.contributor.author-fmusphcMARLON JULIANO ROMERO ALIBERTI
hcfmusp.contributor.author-fmusphcJULIANA CARVALHO FERREIRA
hcfmusp.contributor.author-fmusphcVILSON COBELLO JUNIOR
hcfmusp.contributor.author-fmusphcKATIA REGINA DA SILVA
hcfmusp.contributor.author-fmusphcJOSE EDUARDO POMPEU
hcfmusp.contributor.author-fmusphcLEILA ANTONANGELO
hcfmusp.contributor.author-fmusphcMARCELLO MIHAILENKO CHAVES MAGRI
hcfmusp.contributor.author-fmusphcTARCISIO ELOY PESSOA DE BARROS FILHO
hcfmusp.contributor.author-fmusphcHERALDO POSSOLO DE SOUZA
hcfmusp.contributor.author-fmusphcESPER GEORGES KALLAS
hcfmusp.description.articlenumber100183
hcfmusp.description.volume78
hcfmusp.origemWOS
hcfmusp.origem.pubmed36989546
hcfmusp.origem.scieloSCIELO:S1807-59322023000100228
hcfmusp.origem.scopus2-s2.0-85151424417
hcfmusp.origem.wosWOS:000965428800001
hcfmusp.publisher.cityMADRIDeng
hcfmusp.publisher.countrySPAINeng
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hcfmusp.scopus.lastupdate2024-05-17
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Artigos e Materiais de Revistas Científicas - FM/MFT
Artigos e Materiais de Revistas Científicas - COVID-19
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