人类指数与2型糖尿病患者心血管风险之间的关系
Sedat Arslan1, Kezban Sahin1, Nursel Dal1
1Department of Nutrition and Dietetics, Bandirma Onyedi Eylul University, Balikesir, Turkey.
Diabetes research and clinical practice
|May 11, 2025
概括
像内脏脂肪指数 (VAI),度指数 (CI) 和脂质积累产品 (LAP) 这样的新型人体指数显示,在2型糖尿病患者中预测心血管疾病 (CVD) 风险的能力有限.
科学领域:
- 内分泌学 在内分泌学.
- 心脏病学 心脏病学
- 代谢综合征是代谢综合征的一种.
背景情况:
- 2型糖尿病 (T2DM) 是心血管疾病 (CVD) 的重要危险因素.
- 准确预测心血管疾病风险对于管理T2DM患者至关重要.
- 新的人类指数正在被探索作为代谢和心血管风险的潜在预测指标.
研究的目的:
- 评估内脏脂肪指数 (VAI),度指数 (CI) 和脂质积累产品 (LAP) 对T2DM患者10年心血管疾病风险的预测能力.
- 将这些新型指数的表现与传统的心血管疾病风险评估模型进行比较.
主要方法:
- 一项涉及371名住院T2DM患者的方法研究.
- 使用人体测量 (腰围,BMI) 来计算VAI,CI和LAP.
- 使用系统冠状动脉风险估计 (SCORE) 模型估计10年心血管疾病风险,并通过接收器运行特征 (ROC) 曲线进行评估.
主要成果:
- 在预测心血管疾病风险方面,VAI,CI和LAP的区分能力有限 (AUC值分别为0.454,0.563,0.468).
- 在T2DM患者中,这些新型指数和SCORE模型之间没有发现显著的相关性.
- 65岁及以上患者的SCORE风险较高,其中70.4%被归类为高风险.
结论:
- 视觉脂肪指数 (VAI),度指数 (CI) 和脂质积累产物 (LAP) 并不是T2DM患者心血管疾病风险的充分预测指标.
- 传统的风险评估方法,如SCORE模型,对于这一群体可能仍然更可靠.
- 可能需要进一步的研究来确定T2DM中CVD更有效的预测标志物.
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