scholarly journals Cut-Point Levels of Phosphatidylethanol to Identify Alcohol Misuse in a Mixed Cohort Including Critically Ill Patients

2017 ◽  
Vol 41 (10) ◽  
pp. 1745-1753 ◽  
Author(s):  
Majid Afshar ◽  
Ellen L. Burnham ◽  
Cara Joyce ◽  
Brendan J. Clark ◽  
Meagan Yong ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Alcohol Misuse ◽  
Cut Point

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

2021 ◽  
Vol 8 ◽  
Author(s):  
Weibo Gao ◽  
Jiasai Fan ◽  
Di Sun ◽  
Mengxi Yang ◽  
Wei Guo ◽  
...  
Keyword(s):  
Heart Failure ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Fatal Outcome ◽  
Hospital Death ◽  
Cut Point ◽  
Cardiac Functions ◽  
Selection Operator ◽  
Prognostic Risk Factors

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.

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