Factors associated with QTc interval prolongation in long-term hospitalized patients with schizophrenia
10.3760/cma.j.cn341190-20240511-00548
- VernacularTitle:长期住院精神分裂症患者心电图QTc间期延长的影响因素分析
- Author:
Jian YANG
1
;
Yi XU
;
Zhixin ZHU
Author Information
1. 延安大学咸阳医院精神科，咸阳 712000
- Publication Type:Journal Article
- Keywords:
Schizophrenia;
Electrocardiography;
Root cause analysis;
Forecasting;
Logistic models
- From:
Chinese Journal of Primary Medicine and Pharmacy
2025;32(5):646-651
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the factors associated with prolonged QTc interval in long-term hospitalized patients with schizophrenia, and to develop and validate a predictive model.Methods:A cross-sectional study was conducted involving 215 long-term hospitalized patients with schizophrenia at Xianyang Hospital, Yan'an University from January to December 2023. The incidence of prolonged QTc intervals among the patients was analyzed. Univariate and multivariate analyses of the factors associated with prolonged QTc intervals were performed. A mathematical model was developed to predict prolonged QTc intervals in long-term hospitalized patients with schizophrenia, and the predictive performance of the model was evaluated.Results:Among the 215 patients, 42 exhibited prolonged QTc intervals, with an incidence rate of 19.53%. Univariate analysis revealed statistically significant differences between the groups with and without prolonged QTc in terms of age, gender, body mass index, categories of antipsychotic medication used, fasting blood glucose, and potassium levels ( t = -5.66, χ2 = 29.03, t = -2.01, χ2 = 10.96, t = -5.78, t = 5.92, all P < 0.05). Multivariate logistic regression analysis indicated that age, gender, fasting blood glucose, and potassium levels were independent factors affecting QTc interval prolongation ( OR = 1.097, 10.221, 2.449, 0.014, all P < 0.05). The goodness-of-fit of the logistic regression model was validated to be satisfactory (Hosmer-Lemeshow χ2 = 14.56, P > 0.05). A risk nomogram model based on the variables from the multivariate analysis had a C-index of 0.713. Receiver operating characteristic curve analysis was performed using the independent influential factors and their P values from the logistic regression model to predict the probability of QTc interval prolongation. The area under the curve values were 0.762, 0.725, 0.730, 0.792, and 0.920, respectively. Conclusions:The incidence of prolonged QTc interval is relatively high in long-term hospitalized patients with schizophrenia. Female gender, older age, hyperglycemia, and hypokalemia are all associated with prolonged QTc intervals. The mathematical model developed based on these factors demonstrates good predictive performance for QTc interval prolongation.
