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A prediction model for major adverse cardiovascular events (MACE) in patients with coronavirus disease 2019 (COVID-19) by Dong Huang; Huan Yang; He Yu; Ting Wang; Zhu Chen; Rong Yao; Zongan Liang is a Medicine article available to read on EtoBox.

What is A prediction model for major adverse cardiovascular events (MACE) in patients with coronavirus disease 2019 (COVID-19) about?

## Background: Emerging evidence shows that cardiovascular injuries and events in coronavirus disease 2019 (covid-19) should be considered. the current study was conducted to develop an early prediction model for major adverse cardiovascular events (mace) during hospitalizations of covid-19 patients. ## Methods: This was a retrospective, multicenter, observational study. hospitalized covid-19 patients from wuhan city, hubei province and sichuan province, china, between january 14 and march 9, 2020, were randomly divided into a training set (70% of patients) and a testing set (30%). all baseline data were recorded at admission or within 24 h after admission to hospitals. the primary outcome was mace during hospitalization, including nonfatal myocardial infarction, nonfatal stroke and cardiovascular death. the risk factors were selected by lasso regression and multivariate logistic regression analysis. the nomogram was assessed by calibration curve and decision curve analysis (dca). ## Results: Ultimately, 1206 adult covid-19 patients were included. in the training set, 48 (5.7%) patients eventually developed mace. six factors associated with mace were included in the nomogram: age,

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Author

Dong Huang; Huan Yang; He Yu; Ting Wang; Zhu Chen; Rong Yao; Zongan Liang

Published

2022

Language

EN

Field

Medicine (Health Sciences)