Objective To establish a prediction model of risk factors for early Q-T interval prolongation after acute myocardial infarction(AMI),which helps prevent and reduce the occurrence of acute malignant events.Methods This is a case-control study.A total of 100 patients with Q-T interval prolongation after AMI who received treatment at Heilongjiang Provincial Hospital from January 2018 to December 2022 were included in this study.An additional 100 patients without Q-T interval prolongation after AMI who concurrently received treatment in the same hospital were also included in this study.Two model groups,including model group 1(with Q-T interval prolongation,n=50)and model group 2(without Q-T interval prolongation,n=50),and two test groups,including test group 1(with Q-T interval prolongation,n=50)and test group 2(without Q-T interval prolongation,n=50),were designated.Logistic regression analysis was performed to construct a prediction model of risk factors for Q-T interval prolongation.The area under the receiver operating characteristic curve was determined to evaluate the prediction model.The value of the prediction model was validated in the test groups.Results Multivariate logistic regression showed that female gender(OR=2.307,95％CI:0.09-0.91,P=0.041)and heart failure(OR=3.087,95％CI:1.15-8.27,P=0.025)were independent risk factors for early Q-T interval prolongation after AMI.The area under the receiver operating characteristic curve of the prediction model was 0.770,with a sensitivity of 84.0％,a specificity of 66.0％,the Jordan index of 0.44,and the corresponding optimal critical value of 0.43.This indicates good fit of the model.Conclusion Female gender and heart failure are independent risk factors for early Q-T interval prolongation after AMI.The model constructed based on the above-mentioned risk factors fits well and has a high predictive value,which helps reduce the occurrence of early Q-T interval prolongation after AMI.
NETL
NSTL
维普
万方数据
