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精益MAFLD的风险因素分析和预测模型构建:对中国健康检查人口的横截面研究

Ruya Zhu¹, Caicai Xu², Suwen Jiang¹

¹Liver Disease Department of Integrative Medicine, Ningbo No. 2 Hospital, Ningbo, 315010, Zhejiang, China.

European journal of medical research

|February 26, 2025

概括

这项研究确定了与瘦肉代谢功能障碍相关的脂肪肝疾病 (MAFLD) 的关键风险因素,并开发了早期检测的诺姆图. 该模型有助于临床医生识别有风险的个人,改善及时的医疗服务.

科学领域:

肝病学肝病学是一种肝病学.
代谢综合征是代谢综合征的一种.
心血管疾病风险分层心血管疾病风险分层

背景情况:

在与代谢功能障碍相关的脂肪肝疾病 (MAFLD) 患者中观察到高心血管疾病发病率和死亡率.
瘦身和超重的MAFLD患者之间存在不同的风险因素和代谢概况.
早期识别面临瘦肉MAFLD风险的个体对于心血管风险管理至关重要.

研究的目的:

分析风险因素和瘦身和超重MAFLD之间的差异.
建立和验证一个用于预测瘦肉MAFLD的诺莫格拉姆模型.
帮助早期识别患有瘦肉MAFLD的高风险个体.

主要方法:

对4363名参与者的回顾性横截面研究,分为非MAFLD,瘦肉MAFLD (BMI<25 kg/m2) 和超重MAFLD (BMI ≥25 kg/m2).
多变量回归分析和使用训练队列 (70%的瘦身MAFLD和BMI<25 kg/m2的健康受试者) 的名录构造.
模型验证使用ROC曲线分析,k倍交叉验证和决策曲线分析 (DCA).

主要成果:

甘油三和葡萄糖 (TyG) 指数是瘦肉MAFLD最重要的风险因素 (OR:4.03).
在MAFLD和心压,ALT,UA,TCHO,TG,TyG指数和HDLC之间观察到非线性关系.
基于HbA1c,SF,ALT,UA,BMI,TyG指数和年龄的开发名图表在验证队列中显示出良好的预测性能 (AUC 0.866).

结论:

瘦身和超重的MAFLD患者具有不同的代谢概况.
经过验证的诺莫格拉姆模型有效地帮助临床医生早期识别患有瘦肉MAFLD的高风险个体.
这种预测模型可以增强社区和医疗查的努力,以便及时干预和改善患者的结果.

关键词:

人口健康检查人口健康检查精益的MAFLD是什么意思诺莫格拉姆预测模型超重的MAFLD可能会导致超重.风险因素风险因素

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