Feng De-Jing, Ye Yun-Qing, Li Zhe, Zhang Bin, Liu Qing-Rong, Wang Wei-Wei, Zhao Zhen-Yan, Zhou Zheng, Zhao Qing-Hao, Yu Zi-Kai, Zhang Hai-Tong, Duan Zhen-Ya, Wang Bin-Cheng, Lv Jun-Xing, Guo Shuai, Gao Run-Lin, Xu Hai-Yan, Wu Yong-Jian
Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
J Geriatr Cardiol. 2023 Aug 28;20(8):577-585. doi: 10.26599/1671-5411.2023.08.001.
To develop and validate a user-friendly risk score for older mitral regurgitation (MR) patients, referred to as the Elder-MR score.
The China Senile Valvular Heart Disease (China-DVD) Cohort Study functioned as the development cohort, while the China Valvular Heart Disease (China-VHD) Study was employed for external validation. We included patients aged 60 years and above receiving medical treatment for moderate or severe MR (2274 patients in the development cohort and 1929 patients in the validation cohort). Candidate predictors were chosen using Cox's proportional hazards model and stepwise selection with Akaike's information criterion.
Eight predictors were identified: age ≥ 75 years, body mass index < 20 kg/m, NYHA class III/IV, secondary MR, anemia, estimated glomerular filtration rate < 60 mL/min per 1.73 m, albumin < 35 g/L, and left ventricular ejection fraction < 60%. The model displayed satisfactory performance in predicting one-year mortality in both the development cohort (C-statistic = 0.73, 95% CI: 0.69-0.77, Brier score = 0.06) and the validation cohort (C-statistic = 0.73, 95% CI: 0.68-0.78, Brier score = 0.06). The Elder-MR score ranges from 0 to 15 points. At a one-year follow-up, each point increase in the Elder-MR score represents a 1.27-fold risk of death (HR = 1.27, 95% CI: 1.21-1.34, < 0.001) in the development cohort and a 1.24-fold risk of death (HR = 1.24, 95% CI: 1.17-1.30, < 0.001) in the validation cohort. Compared to EuroSCORE II, the Elder-MR score demonstrated superior predictive accuracy for one-year mortality in the validation cohort (C-statistic = 0.71 0.70, net reclassification improvement = 0.320, < 0.01; integrated discrimination improvement = 0.029, < 0.01).
The Elder-MR score may serve as an effective risk stratification tool to assist clinical decision-making in older MR patients.
开发并验证一种适用于老年二尖瓣反流(MR)患者的用户友好型风险评分,即老年-MR评分。
中国老年瓣膜性心脏病(China-DVD)队列研究作为开发队列,而中国瓣膜性心脏病(China-VHD)研究用于外部验证。我们纳入了60岁及以上因中度或重度MR接受治疗的患者(开发队列中有2274例患者,验证队列中有1929例患者)。使用Cox比例风险模型并结合赤池信息准则进行逐步选择来确定候选预测因素。
确定了八个预测因素:年龄≥75岁、体重指数<20kg/m²、纽约心脏协会(NYHA)心功能III/IV级、继发性MR、贫血、估计肾小球滤过率<60mL/min/1.73m²、白蛋白<35g/L以及左心室射血分数<60%。该模型在开发队列(C统计量=0.73,95%置信区间:0.69 - 0.77,Brier评分=0.06)和验证队列(C统计量=0.73,95%置信区间:0.68 - 0.78,Brier评分=0.06)中预测一年死亡率方面表现出令人满意的性能。老年-MR评分范围为0至15分。在一年随访中,老年-MR评分每增加一分,在开发队列中代表死亡风险增加1.27倍(风险比[HR]=1.27,95%置信区间:1.21 - 1.34,P<0.001),在验证队列中代表死亡风险增加1.24倍(HR=1.24,95%置信区间:1.17 - 1.30,P<0.001)。与欧洲心脏手术风险评估系统II(EuroSCORE II)相比,老年-MR评分在验证队列中对一年死亡率显示出更高的预测准确性(C统计量=0.71对0.70,净重新分类改善=0.320,P<0.01;综合判别改善=0.029,P<0.01)。
老年-MR评分可作为一种有效的风险分层工具,以协助老年MR患者的临床决策。