Yu Shasha, Li Qiyu, Yang Hongmei, Guo Xiaofan, Li GuangXiao, Sun Yingxian
Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China.
Department of Clinical Epidemiology, Institute of Cardiovascular Diseases, First Hospital of China Medical University, Shenyang, 110001, China.
Nutr Metab (Lond). 2024 May 21;21(1):27. doi: 10.1186/s12986-024-00804-0.
Metabolic syndrome (MetS) includes a group of metabolic irregularities, including insulin resistance (IR), atherogenic dyslipidemia, central obesity, and hypertension. Consistent evidence supports IR and ongoing low-grade inflammation as the main contributors to MetS pathogenesis. However, the association between the triglyceride-glucose (TyG) index and mortality in people with MetS remains uncertain. The objective of this study was to examine the correlation between the baseline TyG index and all-cause and cardiovascular (CV) mortality in rural Northeast Chinese individuals with MetS.
For the Northeast China Rural Cardiovascular Health Study, 3918 participants (mean age, 55 ± 10; 62.4% women) with MetS at baseline were enrolled in 2012-2013 and followed up from 2015 to 2017. The TyG index was calculated using the equation TyG index = ln [fasting TG (mg/dL) × fasting glucose (mg/dL)/2] and subdivided into tertiles [Q1(< 8.92); Q2 (8.92-9.36); Q3 (≥ 9.36)]. Multivariate Cox proportional hazards models were developed to examine the correlations between mortality and the baseline TyG index.
During a median of 4.66 years of follow-up, 196 (5.0%) all-cause deaths and 108 (2.8%) CV disease-related deaths occurred. The incidence of all-cause mortality was significantly different among TyG index tertiles of the overall population (P = 0.045). Kaplan-Meier analysis demonstrated a significantly increased risk of all-cause mortality in rural Chinese patients with a higher TyG index (log-rank P < 0.05). After adjusting for possible confounders, Cox proportional hazard analysis revealed that the TyG index could effectively predict all-cause mortality (HR for the third vs. first tertile of TyG was 1.441 [95% confidence interval, 1.009-2.059]), but not CV mortality, in rural Chinese patients with MetS.
The TyG index is an effective predictor of all-cause mortality in rural Chinese patients with MetS. This indicates that the TyG index may be useful for identifying rural Chinese individuals with MetS at a high risk of death.
代谢综合征（MetS）包括一组代谢异常情况，包括胰岛素抵抗（IR）、致动脉粥样硬化性血脂异常、中心性肥胖和高血压。一致的证据支持胰岛素抵抗和持续的低度炎症是代谢综合征发病机制的主要促成因素。然而，代谢综合征患者中甘油三酯-葡萄糖（TyG）指数与死亡率之间的关联仍不确定。本研究的目的是探讨中国东北农村地区代谢综合征患者基线TyG指数与全因死亡率和心血管（CV）死亡率之间的相关性。
对于中国东北农村心血管健康研究，2012 - 2013年纳入了3918名基线时患有代谢综合征的参与者（平均年龄55±10岁；62.4%为女性），并于2015年至2017年进行随访。TyG指数通过公式TyG指数 = ln[空腹甘油三酯（mg/dL）×空腹血糖（mg/dL）/2]计算得出，并分为三分位数[Q1（<8.92）；Q2（8.92 - 9.36）；Q3（≥9.36）]。建立多变量Cox比例风险模型以检验死亡率与基线TyG指数之间的相关性。
在中位4.66年的随访期间，发生了196例（5.0%）全因死亡和108例（2.8%）心血管疾病相关死亡。总体人群中，全因死亡率在TyG指数三分位数之间存在显著差异（P = 0.045）。Kaplan - Meier分析表明，TyG指数较高的中国农村患者全因死亡风险显著增加（对数秩检验P < 0.05）。在调整可能的混杂因素后，Cox比例风险分析显示，TyG指数可有效预测中国农村代谢综合征患者的全因死亡率（TyG指数第三分位数与第一分位数相比的风险比为1.441[95%置信区间，1.009 - 2.059]），但不能预测心血管死亡率。
TyG指数是中国农村代谢综合征患者全因死亡率的有效预测指标。这表明TyG指数可能有助于识别中国农村地区具有高死亡风险的代谢综合征患者。
