Bruna Schettino Morato Barreira
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Bruna Schettino Morato Barreira has a total of 55 co-authors. Here are the top co-authors by number of shared publications:
- Alexandre Vargas Schwarzbold
Universidade Federal de Santa Maria School of Medicine, Department of Health Sciences Santa Maria
1 shared publication - Andresa Fontoura Garbini
Hospital Nossa Senhora da Conceição and Hospital Cristo Redentor, Porto Alegre, Brazil
1 shared publication - Bruno Barbosa Miranda de Paiva
Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, Belo Horizonte, Brazil
1 shared publication - Bruno Mateus de Castro
Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
1 shared publication - Carisi Anne Polanczyk
Universidade Federal do Rio Grande do Sul
1 shared publication - Carolina Marques Ramos
Faculdade de Ciências Médicas de Minas Gerais, Belo Horizonte, MG, Brazil
1 shared publication
Latest Publications
- 1 June 2022
- Published by Springer Nature in Internal and Emergency Medicine
- Vol. 17 (7) , 1863-1878
Predictors of venous thromboembolism in COVID-19 patients: results of the COVID-19 Brazilian Registry
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.
- 1 June 2022
- Published by Springer Nature in Internal and Emergency Medicine
- Vol. 17 (7) , 1863-1878
Predictors of venous thromboembolism in COVID-19 patients: results of the COVID-19 Brazilian Registry
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.