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Bedside echocardiography to predict mortality of COVID-19 patients beyond clinical data: Data from the PROVAR-COVID study
INTRODUCTION: Cardiac involvement seems to impact prognosis of COVID-19, being more frequent in critically ill patients. We aimed to assess the prognostic value of right ventricular (RV) and left ventricular (LV) dysfunction, evaluated by bedside echocardiography (echo), in patients hospitalized wit...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Medicina Tropical - SBMT
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437446/ https://www.ncbi.nlm.nih.gov/pubmed/34495258 http://dx.doi.org/10.1590/0037-8682-0382-2021 |
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author | Pimentel, Sander Luis Gomes Nascimento, Bruno Ramos Franco, Juliane Oliveira, Kaciane Krauss Bruno Fraga, Clara Leal de Macedo, Frederico Vargas Botinha Raso, Leonardo Arruda de Moraes de Ávila, Renata Eliane dos Santos, Luiza Pereira Afonso Rocha, Rodrigo Tavares Lanna Oliveira, Renan Mello Barbosa, Márcia de Melo Sable, Craig Ribeiro, Antonio Luiz Pinho Beaton, Andrea Zawacki Nunes, Maria Carmo Pereira |
author_facet | Pimentel, Sander Luis Gomes Nascimento, Bruno Ramos Franco, Juliane Oliveira, Kaciane Krauss Bruno Fraga, Clara Leal de Macedo, Frederico Vargas Botinha Raso, Leonardo Arruda de Moraes de Ávila, Renata Eliane dos Santos, Luiza Pereira Afonso Rocha, Rodrigo Tavares Lanna Oliveira, Renan Mello Barbosa, Márcia de Melo Sable, Craig Ribeiro, Antonio Luiz Pinho Beaton, Andrea Zawacki Nunes, Maria Carmo Pereira |
author_sort | Pimentel, Sander Luis Gomes |
collection | PubMed |
description | INTRODUCTION: Cardiac involvement seems to impact prognosis of COVID-19, being more frequent in critically ill patients. We aimed to assess the prognostic value of right ventricular (RV) and left ventricular (LV) dysfunction, evaluated by bedside echocardiography (echo), in patients hospitalized with COVID-19. METHODS: Patients admitted in 2 reference hospitals in Brazil from Jul to Sept/2020 with confirmed COVID-19 and moderate/severe presentations underwent clinical and laboratory evaluation, and focused bedside echo (GE Vivid-IQ), at the earliest convenience, with remote interpretation. The association between demographics, clinical comorbidities and echo variables with all-cause hospital mortality was assessed, and factors significant at p<0.10 were put into multivariable models. RESULTS: Total 163 patients were enrolled, 59% were men, mean age 64±16 years, and 107 (66%) were admitted to intensive care. Comorbidities were present in 144 (88%) patients: hypertension 115 (71%), diabetes 61 (37%) and heart failure 22 (14%). In-hospital mortality was 34% (N=56). In univariate analysis, echo variables significantly associated with death were: LV ejection fraction (LVEF, OR=0.94), RV fractional area change (OR=0.96), tricuspid annular plane systolic excursion (TAPSE, OR=0.83) and RV dysfunction (OR=5.3). In multivariate analysis, after adjustment for clinical and demographic variables, independent predictors of mortality were age≥63 years (OR=5.53, 95%CI 1.52-20.17), LVEF<64% (OR=7.37, 95%CI 2.10-25.94) and TAPSE<18.5 mm (OR=9.43, 95% CI 2.57-35.03), and the final model had good discrimination, with C-statistic=0.83 (95%CI 0.75-0.91). CONCLUSION: Markers of RV and LV dysfunction assessed by bedside echo are independent predictors of mortality in hospitalized COVID-19 patients, after adjustment for clinical variables. |
format | Online Article Text |
id | pubmed-8437446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Sociedade Brasileira de Medicina Tropical - SBMT |
record_format | MEDLINE/PubMed |
spelling | pubmed-84374462021-09-20 Bedside echocardiography to predict mortality of COVID-19 patients beyond clinical data: Data from the PROVAR-COVID study Pimentel, Sander Luis Gomes Nascimento, Bruno Ramos Franco, Juliane Oliveira, Kaciane Krauss Bruno Fraga, Clara Leal de Macedo, Frederico Vargas Botinha Raso, Leonardo Arruda de Moraes de Ávila, Renata Eliane dos Santos, Luiza Pereira Afonso Rocha, Rodrigo Tavares Lanna Oliveira, Renan Mello Barbosa, Márcia de Melo Sable, Craig Ribeiro, Antonio Luiz Pinho Beaton, Andrea Zawacki Nunes, Maria Carmo Pereira Rev Soc Bras Med Trop Major Article INTRODUCTION: Cardiac involvement seems to impact prognosis of COVID-19, being more frequent in critically ill patients. We aimed to assess the prognostic value of right ventricular (RV) and left ventricular (LV) dysfunction, evaluated by bedside echocardiography (echo), in patients hospitalized with COVID-19. METHODS: Patients admitted in 2 reference hospitals in Brazil from Jul to Sept/2020 with confirmed COVID-19 and moderate/severe presentations underwent clinical and laboratory evaluation, and focused bedside echo (GE Vivid-IQ), at the earliest convenience, with remote interpretation. The association between demographics, clinical comorbidities and echo variables with all-cause hospital mortality was assessed, and factors significant at p<0.10 were put into multivariable models. RESULTS: Total 163 patients were enrolled, 59% were men, mean age 64±16 years, and 107 (66%) were admitted to intensive care. Comorbidities were present in 144 (88%) patients: hypertension 115 (71%), diabetes 61 (37%) and heart failure 22 (14%). In-hospital mortality was 34% (N=56). In univariate analysis, echo variables significantly associated with death were: LV ejection fraction (LVEF, OR=0.94), RV fractional area change (OR=0.96), tricuspid annular plane systolic excursion (TAPSE, OR=0.83) and RV dysfunction (OR=5.3). In multivariate analysis, after adjustment for clinical and demographic variables, independent predictors of mortality were age≥63 years (OR=5.53, 95%CI 1.52-20.17), LVEF<64% (OR=7.37, 95%CI 2.10-25.94) and TAPSE<18.5 mm (OR=9.43, 95% CI 2.57-35.03), and the final model had good discrimination, with C-statistic=0.83 (95%CI 0.75-0.91). CONCLUSION: Markers of RV and LV dysfunction assessed by bedside echo are independent predictors of mortality in hospitalized COVID-19 patients, after adjustment for clinical variables. Sociedade Brasileira de Medicina Tropical - SBMT 2021-09-06 /pmc/articles/PMC8437446/ /pubmed/34495258 http://dx.doi.org/10.1590/0037-8682-0382-2021 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Major Article Pimentel, Sander Luis Gomes Nascimento, Bruno Ramos Franco, Juliane Oliveira, Kaciane Krauss Bruno Fraga, Clara Leal de Macedo, Frederico Vargas Botinha Raso, Leonardo Arruda de Moraes de Ávila, Renata Eliane dos Santos, Luiza Pereira Afonso Rocha, Rodrigo Tavares Lanna Oliveira, Renan Mello Barbosa, Márcia de Melo Sable, Craig Ribeiro, Antonio Luiz Pinho Beaton, Andrea Zawacki Nunes, Maria Carmo Pereira Bedside echocardiography to predict mortality of COVID-19 patients beyond clinical data: Data from the PROVAR-COVID study |
title | Bedside echocardiography to predict mortality of COVID-19 patients beyond clinical data: Data from the PROVAR-COVID study |
title_full | Bedside echocardiography to predict mortality of COVID-19 patients beyond clinical data: Data from the PROVAR-COVID study |
title_fullStr | Bedside echocardiography to predict mortality of COVID-19 patients beyond clinical data: Data from the PROVAR-COVID study |
title_full_unstemmed | Bedside echocardiography to predict mortality of COVID-19 patients beyond clinical data: Data from the PROVAR-COVID study |
title_short | Bedside echocardiography to predict mortality of COVID-19 patients beyond clinical data: Data from the PROVAR-COVID study |
title_sort | bedside echocardiography to predict mortality of covid-19 patients beyond clinical data: data from the provar-covid study |
topic | Major Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437446/ https://www.ncbi.nlm.nih.gov/pubmed/34495258 http://dx.doi.org/10.1590/0037-8682-0382-2021 |
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