Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Clin Exp Med. 2024 Aug 28;24(1):203. doi: 10.1007/s10238-024-01472-3.
Chronic kidney disease (CKD) represents a significant global public health issue, with its incidence and prevalence escalating annually. Metabolic disorders are one of the major etiological factors of CKD. This study investigates the relationship between the emerging metabolic index triglyceride-glucose body mass index (TyG-BMI) and the onset of CKD. Our study enrolled 3,485 healthy participants (1,576 men and 1,909 women), with a follow-up period of 3 years. The primary outcome was the emergence of CKD, defined by an eGFR less than 60 mL/(min × 1.73 m) or the onset of proteinuria. To examine the TyG-BMI and CKD onset relationship, we used univariate and multivariate logistic regression analyses, stratified analyses, and receiver operating characteristic (ROC) curves. After a three-year follow-up, CKD developed in 2% (n = 70) of the participants. Subjects were divided into three equal groups based on their TyG-BMI values, from lowest to highest. After adjusting for potential confounders, the highest TyG-BMI group exhibited a multifactor-adjusted odds ratio (OR) of 4.24 (95% CI 1.30-13.78, P = 0.016) compared to the lowest group. Stratified analyses revealed that the association between TyG-BMI and CKD onset was stronger among females, individuals younger than 60 years, and those with a BMI ≥ 24 kg/m. Furthermore, TYG-BMI was effective in predicting the incidence of CKD. Our findings indicate that TyG-BMI is an independent risk factor for the onset of CKD and that assessment of TyG-BMI may be useful for the early identification of individuals at high risk for CKD.
慢性肾脏病（CKD）是一个重大的全球公共卫生问题，其发病率和患病率逐年上升。代谢紊乱是 CKD 的主要病因之一。本研究探讨了新兴代谢指数甘油三酯-葡萄糖体重指数（TyG-BMI）与 CKD 发病之间的关系。我们的研究纳入了 3485 名健康参与者（男性 1576 名，女性 1909 名），随访时间为 3 年。主要结局是出现 CKD，定义为 eGFR 小于 60 mL/（min×1.73 m）或蛋白尿。为了研究 TyG-BMI 与 CKD 发病的关系，我们使用单变量和多变量逻辑回归分析、分层分析和受试者工作特征（ROC）曲线。经过 3 年的随访，2%（n=70）的参与者出现 CKD。根据 TyG-BMI 值将受试者分为三组，从最低到最高。在调整潜在混杂因素后，最高 TyG-BMI 组的多因素调整比值比（OR）为 4.24（95%CI 1.30-13.78，P=0.016），与最低组相比。分层分析显示，TyG-BMI 与 CKD 发病的相关性在女性、年龄小于 60 岁以及 BMI≥24 kg/m 的个体中更强。此外，TyG-BMI 可有效预测 CKD 的发生。我们的研究结果表明，TyG-BMI 是 CKD 发病的独立危险因素，评估 TyG-BMI 可能有助于早期识别 CKD 高危人群。
