Heart Failure Probability and Early Outcomes of Critically Ill Patients With COVID-19: A Prospective, Multicenter Study

Background: The relationship between cardiac functions and the fatal outcome of coronavirus disease 2019 (COVID-19) is still largely underestimated. We aim to explore the role of heart failure (HF) and NT-proBNP in the prognosis of critically ill patients with COVID-19 and construct an easy-to-use p...

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Autores principales: Weibo Gao, Jiasai Fan, Di Sun, Mengxi Yang, Wei Guo, Liyuan Tao, Jingang Zheng, Jihong Zhu, Tianbing Wang, Jingyi Ren
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Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/fa38b788a32043dfaa41af6c5f6a2654
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spelling oai:doaj.org-article:fa38b788a32043dfaa41af6c5f6a26542021-12-01T05:38:49ZHeart Failure Probability and Early Outcomes of Critically Ill Patients With COVID-19: A Prospective, Multicenter Study2297-055X10.3389/fcvm.2021.738814https://doaj.org/article/fa38b788a32043dfaa41af6c5f6a26542021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcvm.2021.738814/fullhttps://doaj.org/toc/2297-055XBackground: The relationship between cardiac functions and the fatal outcome of coronavirus disease 2019 (COVID-19) is still largely underestimated. We aim to explore the role of heart failure (HF) and NT-proBNP in the prognosis of critically ill patients with COVID-19 and construct an easy-to-use predictive model using machine learning.Methods: In this multicenter and prospective study, a total of 1,050 patients with clinical suspicion of COVID-19 were consecutively screened. Finally, 402 laboratory-confirmed critically ill patients with COVID-19 were enrolled. A “triple cut-point” strategy of NT-proBNP was applied to assess the probability of HF. The primary outcome was 30-day all-cause in-hospital death. Prognostic risk factors were analyzed using the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression, further formulating a nomogram to predict mortality.Results: Within a 30-day follow-up, 27.4% of the 402 patients died. The mortality rate of patients with HF likely was significantly higher than that of the patient with gray zone and HF unlikely (40.8% vs. 25 and 16.5%, respectively, P < 0.001). HF likely [Odds ratio (OR) 1.97, 95% CI 1.13–3.42], age (OR 1.04, 95% CI 1.02–1.06), lymphocyte (OR 0.36, 95% CI 0.19–0.68), albumin (OR 0.92, 95% CI 0.87–0.96), and total bilirubin (OR 1.02, 95% CI 1–1.04) were independently associated with the prognosis of critically ill patients with COVID-19. Moreover, a nomogram was developed by bootstrap validation, and C-index was 0.8 (95% CI 0.74–0.86).Conclusions: This study established a novel nomogram to predict the 30-day all-cause mortality of critically ill patients with COVID-19, highlighting the predominant role of the “triple cut-point” strategy of NT-proBNP, which could assist in risk stratification and improve clinical sequelae.Weibo GaoJiasai FanDi SunMengxi YangWei GuoLiyuan TaoJingang ZhengJihong ZhuTianbing WangJingyi RenFrontiers Media S.A.articleCOVID-19heart failureNT-ProBNPnomogramprognosisDiseases of the circulatory (Cardiovascular) systemRC666-701ENFrontiers in Cardiovascular Medicine, Vol 8 (2021)
institution DOAJ
collection DOAJ
language EN
topic COVID-19
heart failure
NT-ProBNP
nomogram
prognosis
Diseases of the circulatory (Cardiovascular) system
RC666-701
spellingShingle COVID-19
heart failure
NT-ProBNP
nomogram
prognosis
Diseases of the circulatory (Cardiovascular) system
RC666-701
Weibo Gao
Jiasai Fan
Di Sun
Mengxi Yang
Wei Guo
Liyuan Tao
Jingang Zheng
Jihong Zhu
Tianbing Wang
Jingyi Ren
Heart Failure Probability and Early Outcomes of Critically Ill Patients With COVID-19: A Prospective, Multicenter Study
description Background: The relationship between cardiac functions and the fatal outcome of coronavirus disease 2019 (COVID-19) is still largely underestimated. We aim to explore the role of heart failure (HF) and NT-proBNP in the prognosis of critically ill patients with COVID-19 and construct an easy-to-use predictive model using machine learning.Methods: In this multicenter and prospective study, a total of 1,050 patients with clinical suspicion of COVID-19 were consecutively screened. Finally, 402 laboratory-confirmed critically ill patients with COVID-19 were enrolled. A “triple cut-point” strategy of NT-proBNP was applied to assess the probability of HF. The primary outcome was 30-day all-cause in-hospital death. Prognostic risk factors were analyzed using the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression, further formulating a nomogram to predict mortality.Results: Within a 30-day follow-up, 27.4% of the 402 patients died. The mortality rate of patients with HF likely was significantly higher than that of the patient with gray zone and HF unlikely (40.8% vs. 25 and 16.5%, respectively, P < 0.001). HF likely [Odds ratio (OR) 1.97, 95% CI 1.13–3.42], age (OR 1.04, 95% CI 1.02–1.06), lymphocyte (OR 0.36, 95% CI 0.19–0.68), albumin (OR 0.92, 95% CI 0.87–0.96), and total bilirubin (OR 1.02, 95% CI 1–1.04) were independently associated with the prognosis of critically ill patients with COVID-19. Moreover, a nomogram was developed by bootstrap validation, and C-index was 0.8 (95% CI 0.74–0.86).Conclusions: This study established a novel nomogram to predict the 30-day all-cause mortality of critically ill patients with COVID-19, highlighting the predominant role of the “triple cut-point” strategy of NT-proBNP, which could assist in risk stratification and improve clinical sequelae.
format article
author Weibo Gao
Jiasai Fan
Di Sun
Mengxi Yang
Wei Guo
Liyuan Tao
Jingang Zheng
Jihong Zhu
Tianbing Wang
Jingyi Ren
author_facet Weibo Gao
Jiasai Fan
Di Sun
Mengxi Yang
Wei Guo
Liyuan Tao
Jingang Zheng
Jihong Zhu
Tianbing Wang
Jingyi Ren
author_sort Weibo Gao
title Heart Failure Probability and Early Outcomes of Critically Ill Patients With COVID-19: A Prospective, Multicenter Study
title_short Heart Failure Probability and Early Outcomes of Critically Ill Patients With COVID-19: A Prospective, Multicenter Study
title_full Heart Failure Probability and Early Outcomes of Critically Ill Patients With COVID-19: A Prospective, Multicenter Study
title_fullStr Heart Failure Probability and Early Outcomes of Critically Ill Patients With COVID-19: A Prospective, Multicenter Study
title_full_unstemmed Heart Failure Probability and Early Outcomes of Critically Ill Patients With COVID-19: A Prospective, Multicenter Study
title_sort heart failure probability and early outcomes of critically ill patients with covid-19: a prospective, multicenter study
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/fa38b788a32043dfaa41af6c5f6a2654
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