Tian Wen Bo, Zhang Wei Sen, Jiang Chao Qiang, Liu Xiang Yi, Zhu Feng, Jin Ya Li, Zhu Tong, Lam Tai Hing, Cheng Kar Keung, Xu Lin
School of Public Health, Sun Yat-Sen University, Guangzhou, China.
Guangzhou Twelfth People's Hospital, Guangzhou, China.
Cardiology. 2025;150(4):406-417. doi: 10.1159/000542238. Epub 2024 Oct 30.
To identify the optimal QT correction formula for generating corrected QT (QTc) and cutoffs for prolonged QTc, and examine the associations with mortality and cardiovascular disease (CVD) in older Chinese.
A prospective study included 24,611 Chinese aged 50+ years and without CVD at 2003-2008 from Guangzhou Biobank Cohort Study. QT interval was corrected by Bazett, Fridericia, Framingham and Hodges formulas. The slope and R2 of the QTc and heart rate regression were used to determine the optimal correction formula. The 95th percentile of QTc was used to defined prolonged QTc. Cox regression was used to examine associations of prolonged QTc with mortality and CVD. The net reclassification index was calculated to assess risk reclassification.
During an average follow-up of 15.3 years, 5,261 deaths and 5,539 CVD occurred. Optimal heart correction was observed for the Hodges formula, and Bazett formula performed the worst. Prolonged QTc corrected by Fridericia, Framingham and Hodges formulas had similar association strength with all-cause mortality, CVD mortality and incident CVD (especially coronary heart disease, myocardial infarction and ischemic stroke), with hazard ratios approximately being 1.25, 1.40, and 1.15, respectively. They also improved risk reclassification for all-cause mortality, CVD mortality and incident CVD by approximately 5%, 10%, and 6%, respectively. However, prolonged QTc corrected by Bazett formula was not associated with incident CVD and did not improve risk reclassification.
Hodges formula outperformed other formulas for heart rate correction. Fridericia, Framingham, and Hodges formulas can be used for death and cardiovascular risk prediction.
确定用于生成校正QT(QTc)的最佳QT校正公式以及QTc延长的临界值,并研究其与中国老年人群死亡率和心血管疾病(CVD)的相关性。
一项前瞻性研究纳入了2003年至2008年来自广州生物样本库队列研究的24,611名年龄在50岁及以上且无CVD的中国人。QT间期采用Bazett、Fridericia、Framingham和Hodges公式进行校正。通过QTc与心率回归的斜率和R²来确定最佳校正公式。QTc的第95百分位数用于定义QTc延长。采用Cox回归分析QTc延长与死亡率和CVD的相关性。计算净重新分类指数以评估风险重新分类。
在平均15.3年的随访期间,发生了5261例死亡和5539例CVD事件。观察到Hodges公式的心率校正效果最佳,而Bazett公式表现最差。采用Fridericia、Framingham和Hodges公式校正的QTc延长与全因死亡率、CVD死亡率和新发CVD(尤其是冠心病、心肌梗死和缺血性中风)具有相似的关联强度,风险比分别约为1.25、1.40和1.15。它们还分别将全因死亡率、CVD死亡率和新发CVD的风险重新分类提高了约5%、10%和6%。然而,采用Bazett公式校正的QTc延长与新发CVD无关,也未改善风险重新分类。
Hodges公式在心率校正方面优于其他公式。Fridericia、Framingham和Hodges公式可用于死亡和心血管风险预测。