Risk factor research and risk prediction model establishment for early Q-T interval prolongation after acute myocardial infarction
10.3760/cma.j.cn341190-20230321-00214
- VernacularTitle:AMI后早期Q-T间期延长的危险因素研究及风险预测模型建立
- Author:
Sifan LI
1
;
Ying XIAO
;
Dongbo WANG
;
Sining LIU
;
Yadong TANG
;
Xuefeng TIAN
Author Information
1. 黑龙江省医院心内科，哈尔滨 150036
- Keywords:
Myocardial infarction;
Electrocardiography;
Risk factors;
Forecasting;
Logistic models;
Femininity;
Heart failure;
ROC curve
- From:
Chinese Journal of Primary Medicine and Pharmacy
2024;31(2):175-179
- CountryChina
- Language:Chinese
-
Abstract:
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.
