实用临床医药杂志2026，Vol.30Issue(14)：49-55,7.DOI:10.7619/jcmp.20261055
脂质蓄积指数联合甘油三酯-葡萄糖-体质量指数预测高血压肥胖患者短期预后的价值
Predictive value of lipid accumulation product combined with triglyceride-glucose-body mass index for short-term prognosis in obese patients with hypertension
摘要
Abstract
Objective To investigate the predictive value of lipid accumulation product(LAP)combined with triglyceride-glucose-body mass index(TyG-BMI)for short-term prognosis in hyperten-sive patients with obesity.Methods A prospective cohort study was conducted,and 514 patients with hypertension and obesity admitted to our hospital from June 2022 to June 2025 were selected as study objects.Baseline clinical data were collected,and LAP and TyG-BMI were calculated.All patients were followed up for 1 year and classified into poor-prognosis and good-prognosis groups according to differed clinical outcomes.Baseline characteristics were compared between the two groups.Logistic re-gression analysis was performed to identify influencing factors.Restricted cubic spline(RCS)models were used to explore dose-response relationships.Receiver operating characteristic(ROC)curves and precision-recall(PR)curves were constructed to evaluate predictive performance.Results Of the 514 patients followed up for 1 year,14 were lost during follow-up,yielding a poor-prognosis rate of 11.00％(55/500).Compared with the good-prognosis group,the poor-prognosis group(n=55)showed significantly higher levels of hypertension duration,comorbid diabetes,left ventricular mass index(LVMI),triglycerides(TG),systolic blood pressure(SBP),serum uric acid(SUA),uri-nary albumin-to-creatinine ratio(UACR),fasting blood glucose(FBG),glycated hemoglobin(HbA1c),LAP,and TyG-BMI(P＜0.05).Logistic regression analysis revealed that comorbid di-abetes,SBP,hypertension duration,LAP,and TyG-BMI were independent predictors of poor short-term prognosis in hypertensive patients with obesity(P＜0.05).RCS analysis demonstrated approx-imate J-shaped nonlinear dose-response relationships between LAP and TyG-BMI and the risk of poor prognosis(Pfor trend＜0.05;Pfor nonlinearity＜0.05).ROC curve analysis showed that the combined LAP and TyG-BMI model achieved an area under the curve(AUC)of 0.935,which was significantly higher than that of LAP alone(AUC:0.740;P＜0.05)and TyG-BMI alone(AUC:0.725;P＜0.05).PR curve analysis indicated a PR-AUC of 0.869 for the combined model,reflecting high re-call and precision.Conclusion LAP and TyG-BMI are independent risk factors for poor short-term prognosis in hypertensive patients with obesity.Their combined use can significantly improve the predictive accuracy for adverse outcomes,providing a simple and effective tool for early identifica-tion of high-risk patients in clinical practice.关键词
高血压/肥胖/脂质蓄积指数/甘油三酯-葡萄糖-体质量指数/预后/风险预测/队列研究/受试者工作特征曲线Key words
hypertension/obesity/lipid accumulation product/triglyceride-glucose-body mass index/prognosis/risk prediction/cohort study/receiver operating characteristic curve分类
医药卫生引用本文复制引用
祖努然·拜克里,张雅玲,吕忠英,邹婷..脂质蓄积指数联合甘油三酯-葡萄糖-体质量指数预测高血压肥胖患者短期预后的价值[J].实用临床医药杂志,2026,30(14):49-55,7.基金项目
新疆维吾尔自治区自然科学基金(2024D01C166) （2024D01C166）
