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在中国糖尿病患者中,SCORE2-糖尿病风险预测模型的外部验证

Zhangping Fu¹, Peng Shen², Jingyuan Liang¹

¹Department of Epidemiology and Biostatistics, Peking University, Beijing, China.

European journal of preventive cardiology

|April 17, 2025

概括

在重新校准时,SCORE2-糖尿病工具有效地估计了中国糖尿病患者的心血管疾病风险. 这项验证支持其在不同人群中用于更好的风险管理.

科学领域:

心脏病学心脏病学
内分泌学在内分泌学.
公共卫生公共卫生

背景情况:

2023年欧洲指南建议SCORE2-糖尿病对糖尿病患者进行心血管疾病 (CVD) 风险评估.
目前,SCORE2-糖尿病在非欧洲人群,特别是中国的人群中缺乏外部验证.

研究的目的:

在中国糖尿病人群中验证SCORE2-糖尿病风险预测模型.
评估SCORE2-糖尿病在不同环境中的通用性和适应性.

主要方法:

利用基于人口的中国队列50426名糖尿病患者 (40-90岁) 没有先前的心血管疾病.
使用原始和重新校准的SCORE2-糖尿病与提供缩放因子计算10年心血管疾病风险.
在7.09年的中位数随访期间,监测了心血管疾病事件和非心血管疾病死亡.

主要成果:

最初的SCORE2-糖尿病低估了心血管疾病风险 (男性为30%,女性为50%).
使用高风险区域缩放因子重新校准的SCORE2-糖尿病显示出最佳校准 (男性高估4%;女性低估7%).
歧视 (C统计) 是令人满意的:男性为0.702,女性为0.726.
显著比例被归类为高风险 (10-20%) 或非常高风险 (≥20%),突出显示了对脂质管理的重大需求.

结论:

SCORE2-糖尿病,在适当的缩放因子选择下,在中国人口中表现出良好的概括性,歧视性和校准性.
风险评估显示,在这个群体中,对心血管有效药物和密集的脂质管理有很大的需求.
这些发现支持在中国糖尿病患者中使用重新校准的SCORE2-Diabetes用于心血管疾病风险分层.

关键词:

华人中文华人中文是什么意思 SCORE2 - 糖尿病患者的情况心血管疾病心血管疾病队列分析队列分析风险预测风险预测

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