在2型糖尿病中建模复发性心力衰竭风险:使用非均波桑过程的灵活HbA1c轨迹的影响
Di Cui1, Haiyan Xu1, Xiuju Fu1
1Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Frontiers in endocrinology
|May 7, 2025
概括
血糖控制显著影响心力衰竭在2型糖尿病中住院的风险. 识别不同的HbA1c轨迹有助于个性化预测心力衰竭事件的风险.
科学领域:
- 内分泌学 在内分泌学.
- 心脏病学 心脏病学
- 数据科学数据科学数据科学
背景情况:
- 关于密集血糖控制对2型糖尿病心血管疾病的影响,存在不一致的临床试验结果.
- 这项研究调查了不同的HbA1c轨迹及其与2型糖尿病患者的复发性心力衰竭住院治疗 (HHF) 的关联.
研究的目的:
- 在2型糖尿病患者中识别不同的HbA1c轨迹.
- 分析这些轨迹与经常性心力衰竭住院的风险之间的关联.
- 开发个性化风险预测和心力衰竭管理的基础.
主要方法:
- 使用隐性类增长模型 (LCGM) 与分线来识别HbA1c轨迹子组.
- 采用非均的Poisson过程 (NHPP) 来研究HbA1c轨迹与复发性HHF风险之间的关联.
- 包括来自SingHealth糖尿病注册表的194,258名患者,具有广泛的纵向数据.
主要成果:
- 确定了八种不同的HbA1c轨迹,包括稳定,上升,下降和波动的模式.
- 发现低稳定的HbA1c轨迹与较低的复发性HHF风险有关.
- 观察到HHF风险显著增加,HbA1c轨迹较高,波动或急剧下降,危险比率高达2.88.
结论:
- 较低的HbA1c基线水平与减少的HHF复发风险相关;血糖控制不良会增加这种风险.
- 带有斜线的LCGM有效地模拟了长期的HbA1c变化,而NHPP精确地模拟了HHF复发.
- 这种方法可以通过整合动态风险因素来实现个性化风险预测,从而为未来的心力衰竭管理提供帮助.
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