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Predictors of venous thromboembolism in COVID-19 patients: results of the COVID-19 Brazilian Registry.


ABSTRACT: Previous studies that assessed risk factors for venous thromboembolism (VTE) in COVID-19 patients have shown inconsistent results. Our aim was to investigate VTE predictors by both logistic regression (LR) and machine learning (ML) approaches, due to their potential complementarity. This cohort study of a large Brazilian COVID-19 Registry included 4120 COVID-19 adult patients from 16 hospitals. Symptomatic VTE was confirmed by objective imaging. LR analysis, tree-based boosting, and bagging were used to investigate the association of variables upon hospital presentation with VTE. Among 4,120 patients (55.5% men, 39.3% critical patients), VTE was confirmed in 6.7%. In multivariate LR analysis, obesity (OR 1.50, 95% CI 1.11-2.02); being an ex-smoker (OR 1.44, 95% CI 1.03-2.01); surgery ≤ 90 days (OR 2.20, 95% CI 1.14-4.23); axillary temperature (OR 1.41, 95% CI 1.22-1.63); D-dimer ≥ 4 times above the upper limit of reference value (OR 2.16, 95% CI 1.26-3.67), lactate (OR 1.10, 95% CI 1.02-1.19), C-reactive protein levels (CRP, OR 1.09, 95% CI 1.01-1.18); and neutrophil count (OR 1.04, 95% CI 1.005-1.075) were independent predictors of VTE. Atrial fibrillation, peripheral oxygen saturation/inspired oxygen fraction (SF) ratio and prophylactic use of anticoagulants were protective. Temperature at admission, SF ratio, neutrophil count, D-dimer, CRP and lactate levels were also identified as predictors by ML methods. By using ML and LR analyses, we showed that D-dimer, axillary temperature, neutrophil count, CRP and lactate levels are risk factors for VTE in COVID-19 patients.

SUBMITTER: da Silveira WC 

PROVIDER: S-EPMC9156830 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Predictors of venous thromboembolism in COVID-19 patients: results of the COVID-19 Brazilian Registry.

da Silveira Warley Cezar WC   Ramos Lucas Emanuel Ferreira LEF   Silva Rafael Tavares RT   de Paiva Bruno Barbosa Miranda BBM   Pereira Polianna Delfino PD   Schwarzbold Alexandre Vargas AV   Garbini Andresa Fontoura AF   Barreira Bruna Schettino Morato BSM   de Castro Bruno Mateus BM   Ramos Carolina Marques CM   Gomes Caroline Danubia CD   Cimini Christiane Corrêa Rodrigues CCR   Pereira Elayne Crestani EC   Roesch Eliane Würdig EW   Kroger Emanuele Marianne Souza EMS   Aranha Felipe Ferraz Martins Graça FFMG   Anschau Fernando F   Botoni Fernando Antonio FA   Aranha Fernando Graça FG   Crestani Gabriela Petry GP   Vietta Giovanna Grunewald GG   Bastos Gisele Alsina Nader GAN   Costa Jamille Hemétrio Salles Martins JHSM   da Fonseca Jéssica Rayane Corrêa Silva JRCS   Ruschel Karen Brasil KB   de Oliveira Leonardo Seixas LS   Pinheiro Lílian Santos LS   Pacheco Liliane Souto LS   Segala Luciana Borges LB   Couto Luciana Siuves Ferreira LSF   Kopittke Luciane L   Floriani Maiara Anschau MA   Silva Majlla Magalhães MM   Carneiro Marcelo M   Ferreira Maria Angélica Pires MAP   Martins Maria Auxiliadora Parreiras MAP   de Faria Marina Neves Zerbini MNZ   Nogueira Matheus Carvalho Alves MCA   Guimarães Júnior Milton Henriques MH   Sampaio Natália da Cunha Severino NDCS   de Oliveira Neimy Ramos NR   Pertile Nicole de Moraes NM   Andrade Pedro Guido Soares PGS   Assaf Pedro Ledic PL   Valacio Reginaldo Aparecido RA   Menezes Rochele Mosmann RM   Francisco Saionara Cristina SC   Guimarães Silvana Mangeon Meirelles SMM   Araújo Silvia Ferreira SF   Rezende Suely Meireles SM   Pereira Susany Anastácia SA   Kurtz Tatiana T   Fereguetti Tatiani Oliveira TO   Polanczyk Carísi Anne CA   Pires Magda Carvalho MC   Gonçalves Marcos André MA   Marcolino Milena Soriano MS  

Internal and emergency medicine 20220601 7


Previous studies that assessed risk factors for venous thromboembolism (VTE) in COVID-19 patients have shown inconsistent results. Our aim was to investigate VTE predictors by both logistic regression (LR) and machine learning (ML) approaches, due to their potential complementarity. This cohort study of a large Brazilian COVID-19 Registry included 4120 COVID-19 adult patients from 16 hospitals. Symptomatic VTE was confirmed by objective imaging. LR analysis, tree-based boosting, and bagging were  ...[more]

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