
Development and Evaluation of a Risk Prediction Model for Left Ventricular Aneurysm in Patients with Acute Myocardial Infarction in Northwest China
Author(s) -
Y. M. Xing,
Chen Wang,
Haoyu Wu,
Yong Ding,
Siying Chen,
Zuyi Yuan
Publication year - 2022
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s372158
Subject(s) - medicine , nomogram , left ventricular aneurysm , receiver operating characteristic , myocardial infarction , ejection fraction , confidence interval , logistic regression , cardiology , area under the curve , percutaneous coronary intervention , framingham risk score , heart failure , disease
Left ventricular aneurysm (LVA) is a severe and common mechanical comorbidity with acute myocardial infarction (AMI) that can present high mortality and serious adverse outcomes. Accordingly, there is a need for early identification and prevention of patients at risk of LVA. The aim of this study was to develop and validate a risk prediction model for LVA among AMI patients in Northwest China.