代谢综合征严重性评分和2型糖尿病风险的轨迹模式
Atieh Amouzegar1, Mohammadjavad Honarvar1, Safdar Masoumi1
1Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 23, Parvaneh Street, Velenjak, Tehran, P.O. Box: 19395-4763, IR, Iran.
Journal of translational medicine
|October 26, 2023
概括
代谢综合征严重程度轨迹预测未来的糖尿病风险. 较高的连续代谢综合征严重性评分 (cMetS-S) 显著增加了患2型糖尿病的可能性,即使在正常葡萄糖水平的人中也是如此.
科学领域:
- 心脏病学 心脏病学
- 内分泌学 在内分泌学.
- 代谢健康 代谢健康
背景情况:
- 代谢综合征的严重程度往往会随着时间的推移而恶化.
- 评估持续代谢综合征严重程度评分 (cMetS-S) 轨迹对于了解疾病进展至关重要.
- 需要进行长度研究来将cMetS-S与糖尿病发展联系起来.
研究的目的:
- 评估特定于年龄和性别的cMetS-S轨迹.
- 在18年内确定cMetS-S轨迹和发生糖尿病之间的关联.
- 为了确定2型糖尿病 (T2DM) 风险较高的个体.
主要方法:
- 基于人口的前性德黑兰脂质和葡萄糖研究.
- 3931名参与者 (20-60岁) 没有糖尿病,每隔3年进行跟踪.
- 对于cMetS-S轨迹的潜增长混合模型 (LGMM);对于糖尿病风险的Cox比例危险模型.
主要成果:
- 确定了三个cMetS-S轨迹组:低 (24.1%),中 (46.8%) 和高 (29.1%).
- 中等和高cMetS-S轨迹与糖尿病风险分别增加了2.44倍和6.81倍.
- 高cMetS-S组中的正常血糖个体患糖尿病的风险是7.12倍.
结论:
- 大多数成年人在十年内保持稳定的代谢综合征严重程度得分.
- cMetS-S是心脏代谢功能障碍的一个有价值的指标.
- cMetS-S可以识别患T2DM高风险的个体,无论基线葡萄糖水平如何.
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