代谢综合征的轨迹模式 严重性评分和慢性脏疾病的风险
Ladan Mehran1, Atefeh Amouzegar2, Safdar Masoumi1
1Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Kidney diseases (Basel, Switzerland)
|August 11, 2025
概括
代谢综合征严重性评分 (cMetS-S) 随着时间的推移的趋势预测慢性病 (CKD) 风险,即使在没有肥胖或高血压等主要风险因素的个体中也是如此. 这一指标有助于识别有风险的个人.
科学领域:
- 代谢综合征研究 代谢综合征研究
- 腎臟病學 (nephrology) 是一種醫學專業.
- 公共卫生 公共卫生
背景情况:
- 传统的代谢综合征 (MetS) 标准在预测慢性病 (CKD) 方面存在局限性.
- 持续代谢综合征严重性评分 (cMetS-S) 为评估健康结果提供了一个更精细的指标.
- cMetS-S轨迹与CKD发展之间的关联仍然未被探索.
研究的目的:
- 研究连续代谢综合征严重性评分 (cMetS-S) 轨迹与患慢性病 (CKD) 的风险之间的关联.
- 确定cMetS-S趋势是否可以独立于传统的MetS组件和风险因素来预测CKD.
主要方法:
- 利用潜增长混合物建模,在德黑兰脂质和葡萄糖研究中的4462名参与者 (年龄在20-60岁) 中识别了9年的cMetS-S轨迹.
- 在8年的时间内使用Cox比例危险模型评估了事件CKD的后续风险.
- 根据各种混因素进行调整,包括年龄,性别,教育,生活方式因素和基线健康状况.
主要成果:
- 确定了三个不同的cMetS-S轨迹组:低,中,高.
- 高cMetS-S轨迹与CKD风险增加显著相关 (HR 1.32;95% CI: 1.04-1.67),即使对MetS组件进行调整.
- 这种关联甚至在没有糖尿病,肥胖或高血压的个体中也存在,并且仅在男性中具有意义.
结论:
- cMetS-S的时间趋势是CKD发展的重要预测因素.
- cMetS-S轨迹可以识别患有CKD风险较高的个体,独立于主要风险因素.
- 这一指标可以作为临床风险分层和监测的宝贵工具.
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