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在2型糖尿病中发现可操作的心血管风险子组:潜伏类分析
Rose J Geurten1, Niels Hameleers1, Jeroen N Struijs2
1Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
Diabetes research and clinical practice
|March 21, 2025
概括
在2型糖尿病患者中确定不同的亚组揭示了心血管疾病 (CVD) 风险模式的多样性. 量身定制的预防策略对于改善这些不同患者群体的心血管疾病结果至关重要.
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:
- 2型糖尿病 (T2D) 是心血管疾病 (CVD) 的一个主要风险因素.
- 对于有针对性的干预措施来说,了解T2D人群中的异质风险因素概况至关重要.
- 以前的研究还没有完全阐明与T2D中心血管疾病相关的独特的生活方式和心理社会风险模式.
研究的目的:
- 确定2型糖尿病患者的子组,这些人表现出明显的心血管疾病 (CVD) 风险因素模式.
- 在这些已识别的子组中探索特征和三年心血管疾病发病率的差异.
- 为T2D患者制定个性化心血管疾病预防策略提供信息.
主要方法:
- 隐性类分析 (LCA) 用于根据生活方式和心理社会CVD风险因素识别不同的类别.
- 对人口,社会经济和医疗因素进行了分析,以确定它们对阶级成员身份的预测价值.
- 在确定的风险类别中,对三年内心血管疾病发病率的差异进行了比较.
主要成果:
- 一个优越的3类模型出现了:"低风险" (71.2%),"与流动相关的风险" (19.3%),和"心理社会风险" (9.5%).
- "与流动性相关的风险"类的特点是流动性有限和运动不足. "心理社会风险"类报告了孤独,焦虑和抑郁.
- 风险类别成员的强有力的预测因素包括女性性别,非西方移民身份,低学历,经济困难和先前的心力衰竭. 与其他类别相比,在"低风险"类别中观察到较低的心血管疾病发病率.
结论:
- 不同的生活方式和心理社会CVD风险因素模式显著影响2型糖尿病患者的CVD结果.
- 预防心血管疾病需要采用"全人"的方法,根据个人需求量身定制.
- 分组识别允许在T2D中更精确,更有效的CVD风险管理.
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