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在2型糖尿病中预测糖尿病心肌病:基于临床和心声学参数开发和验证
Zilang Luo1,2, Damao Pi1, Tianlan Xi2
1Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Frontiers in endocrinology
|August 27, 2025
概括
这项研究开发了一种名谱来预测2型糖尿病患者的糖尿病心肌病 (DCM) 风险,使用常规的临床和心声学数据,使高风险个体能够及早介入.
科学领域:
- 心脏病学
- 内分泌学
- 医疗信息学
背景情况:
- 糖尿病心肌病 (DCM) 是2型糖尿病 (T2DM) 的重要并发症,导致心力衰竭.
- 早期识别有风险的T2DM患者对于及时介入至关重要.
研究的目的:
- 开发和验证用于预测T2DM患者的DCM风险.
- 实现个性化风险分层,并指导早期心脏保护策略.
主要方法:
- 525名T2DM患者的回顾性研究,随机分配到培训 (70%) 和验证 (30%) 队列.
- 收集了临床,实验室和心声数据.
- 使用后勤回归的诺米图构造,通过启动重新抽样,ROC分析,校准图,Hosmer-Lemeshow测试,DCA和CIC进行验证.
主要成果:
- 确定了六个预测因素:年龄,T2DM持续时间,SBP,UACR,LAD和LVPWd.
- 诺米图表显示出优异的差异性 (在培训中AUC为0. 947,在验证中为0. 922).
- 通过DCA和CIC进行强大的校准和确认的临床效用.
结论:
- 开发的名图有效地整合了T2DM中DCM风险预测的常规参数.
- 促进个性化风险评估,并支持高风险T2DM患者的早期干预.
- 在治疗糖尿病心血管并发症的临床实践中,
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