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在2型糖尿病中开发和验证左心室缩功能障碍的预测模型

Li Chen¹, Fengzhen Liu¹, Yanling Luo²

¹Department of Ultrasound, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.

Quantitative imaging in medicine and surgery

|March 31, 2025

概括

这项研究开发了一种名图,用于预测2型糖尿病 (T2DM) 患者的左心室纵向心肌缩功能障碍 (LVSD). 该模型准确地识别了早期风险,有助于对心血管事件及时进行临床干预.

科学领域:

心脏病学心脏病学
糖尿病学糖尿病学
医疗成像医学成像

背景情况:

左心室纵向心肌缩功能障碍 (LVSD) 是糖尿病心血管事件的关键风险因素.
在2型糖尿病 (T2DM) 患者中早期检测LVSD具有保存的喷射分数至关重要.

研究的目的:

开发和验证一种风险预测模型,用于在T2DM患者中早期检测LVSD.
评估模型的校准,区分和临床实用性.

主要方法:

预期招募310名T2DM患者,随机分配到培训 (n=217) 和验证 (n=93) 组.
利用LASSO和多变量逻辑回归来确定LVSD的独立风险因素 (定义为GLS<18%).
开发了一种包含BMI,T2DM持续时间,BUN,LV质量指数,E/e'和糖尿病并发症等预测指标的名录;使用ROC曲线,校准图和DCA进行验证.

主要成果:

在T2DM患者中确定了8个LVSD的独立风险预测因素.
诺米图表表现出了出色的预测性能,AUC值为0.922 (训练) 和0.918 (验证).
校准图表证实了预测和实际概率之间的强烈一致;DCA表明了临床益处.

结论:

一个新的,经过验证的名图有效地预测了T2DM患者的LVSD风险,这些患者的LVEF保持.
该模型促进了对预防或延迟LVSD进展和相关心血管事件的干预措施的及时临床决策.

关键词:

糖尿病是一种糖尿病.全球纵向菌株 (GLS) 是指全球纵向菌株.左心室 (LV) 的情况这个名字是名ogramogram.预测模型预测模型

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