视觉脂肪区域作为2型糖尿病患者大脑血管并发症的预测因素
Mengli Sun1, Wenting Chen1, Zhenzhen Lin1
1Department of Endocrinology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
内脏脂肪区域 (VFA) 有效预测2型糖尿病 (T2DM) 患者的宏血管并发症 (MVC). 这一发现强调了VFA作为早期风险识别和T2DM管理中的个性化干预的关键标记.
科学领域:
- 心脏病学 心脏病学
- 内分泌学 在内分泌学.
- 代谢综合征是代谢综合征的一种.
背景情况:
- 2型糖尿病 (T2DM) 与大脑血管并发症 (MVC) 的风险增加有关.
- 内脏脂肪的积累与动脉样硬化和心血管疾病的发病有关.
- 确定T2DM中MVC的可靠预测因素对于及时干预至关重要.
研究的目的:
- 调查T2DM患者内脏脂肪区域 (VFA) 和动脉样硬化标志物之间的关联.
- 确定最佳的VFA值来预测T2DM患者的MVC.
- 将VFA的预测值与传统的风险因素进行比较.
主要方法:
- 对1176名T2DM患者和289名健康对照者的回顾性研究.
- 测量VFA,动脉内膜介质厚度 (CIMT) 和臂脚脉冲波速率 (baPWV).
- 多变量后勤回归和风险预测模型的构建,以确定MVC的独立预测因子.
主要成果:
- 从健康对照组,VFA逐渐增加到MVC和没有MVC的T2DM患者 (P<0.001).
- 年龄,缩血压,体重,BMI,VFA和甘油三被确定为T2DM中MVC的独立预测因素.
- 开发的预测模型 (AUC = 0.867) 在预测MVC方面表现出高准确度.
结论:
- 内脏脂肪区域 (VFA) 是2型糖尿病患者 (T2DM) 宏血管并发症 (MVC) 的重要独立预测因子.
- 与BMI等传统指标相比,VFA为MVC提供了更高的预测价值.
- 开发的风险预测模型有助于早期识别高风险T2DM个体,以进行个性化干预.
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