| .基于血清Hcy、UA/Cr比值、TG/HDL-C比值构建体检人群代谢相关脂肪性肝病的列线图预测模型[J].,2024,(24):4781-4784 |
| 基于血清Hcy、UA/Cr比值、TG/HDL-C比值构建体检人群代谢相关脂肪性肝病的列线图预测模型 |
| Construction of a Column-Line Graph Prediction Model for Metabolism-Related Fatty Liver Disease in the Physical Examination Population Based on Serum Hcy, UA/Cr Ratio and TG/HDL-C Ratio |
| 投稿时间：2024-08-09 修订日期：2024-08-26 |
| DOI：10.13241/j.cnki.pmb.2024.24.045 |
| 中文关键词: 代谢相关脂肪性肝病 同型半胱氨酸 尿酸/肌酐比值 甘油三酯/高密度脂蛋白胆固醇比值 列线图预测模型 |
| 英文关键词: Metabolism-associated fatty liver disease Homocysteine Uric acid/creatinine ratio Triglyceride/high-density lipoprotein cholesterol ratio Column-line graph prediction model |
| 基金项目:新疆维吾尔自治区卫生健康保健科研专项项目（BG202405） |
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| 中文摘要: |
| 摘要 目的：基于血清同型半胱氨酸（Hcy）、尿酸/肌酐比值（UA/Cr比值）、甘油三酯/高密度脂蛋白胆固醇比值（TG/HDL-C比值）构建体检人群代谢相关脂肪性肝病（MAFLD）的列线图预测模型，并分析预测模型的预测价值。方法：653例体检人群根据是否发生MAFLD分为MAFLD组（161例）和非MAFLD组（492例），采用多因素Logistics回归分析影响因素，根据多因素Logistics回归分析列线图预测模型，采用受试者工作特征（ROC）曲线分析预测价值。结果：本研究纳入的653例体检人群中，MAFLD发生率为24.66%（161/653）。多因素Logistics回归分析显示，血清HDL-C升高是体检人群发生MAFLD的保护因素（P＜0.05），丙氨酸氨基转移酶（ALT）、体质指数（BMI）、空腹血糖（FBG）、Cr、UA、总胆固醇（TC）、TG、Hcy、UA/Cr比值、TG/HDL-C比值升高以及男性是体检人群发生MAFLD的独立危险因素（P＜0.05）。经校正后，以血清Hcy、TG、TC、HDL-C、UA、Cr、ALT、UA/Cr比值、TG/HDL-C比值为自变量构建的列线图预测模型预测体检人群MAFLD发生风险的敏感性为99.38%，特异性为86.99%，ROC曲线下面积（AUC）为0.984，95%CI为0.976~0.991。结论：体检人群确诊MAFLD者血清Hcy、UA/Cr比值、TG/HDL-C比值升高，基于Hcy、UA/Cr比值、TG/HDL-C比值构建的列线图预测模型对体检人群MAFLD的发生风险具有较高的预测价值。 |
| 英文摘要: |
| ABSTRACT Objective: To construct a column-line graph prediction model for metabolism-associated fatty liver disease (MAFLD) in the physical examination population based on serum homocysteine (Hcy), uric acid/creatinine ratio (UA/Cr ratio) and triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C ratio), and to analyze the predictive value of the prediction model. Methods: 653 cases of people were divided the study subjects into MAFLD group (161 cases) and non-MAFLD group (492 cases) according to whether MAFLD occurred or not, and the influencing factors were analyzed by multivariate Logistics regression, a column-line graph prediction model was constructed according to the results of multivariate Logistics regression analysis, the predictive value was analyzed by receiver operating characteristic (ROC) curve. Results: Among the 653 physical examination population included in this study, and the incidence of MAFLD was 24.66% (161/653). Multivariate Logistic regression analysis showed that, serum HDL-C increased was a protective factor for MAFLD in the physical examination population (P<0.05). Alanine aminotransferase (ALT), body mass index (BMI), fasting blood glucose (FBG), Cr, UA, total cholesterol (TC), TG, Hcy, UA/Cr ratio, TG/HDL-C ratio and male were independent risk factors for MAFLD in the physical examination population (P<0.05). After correction, the column-line graph prediction model constructed with serum Hcy, TG, TC, HDL-C, UA, Cr, ALT, UA/Cr ratio and TG/HDL-C ratio as independent variables had a sensitivity of 99.38% and a specificity of 86.99% in predicting the risk of MAFLD in the physical examination population, the area under the ROC curve (AUC) was 0.984, and the 95% CI was 0.976~0.991. Conclusion: Serum Hcy, UA/Cr ratio, and TG/HDL-C ratio increase in those diagnosed with MAFLD in the physical examination population, and the column-line graph prediction model constructed on the basis of Hcy, UA/Cr ratio and TG/HDL-C ratio has a high predictive value for the risk of developing MAFLD in the physical examination population. |
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