Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, Liaoning, China.
Front Endocrinol (Lausanne). 2024 Feb 13;15:1278239. doi: 10.3389/fendo.2024.1278239. eCollection 2024.
Despite the clear association of TyG-BMI with prediabetes and the progression of diabetes, no study to date has examined the relationship between TyG-BMI and the reversal of prediabetes to normoglycemia.
25,279 participants with prediabetes who had physical examinations between 2010 and 2016 were enrolled in this retrospective cohort study. The relationship between baseline TyG-BMI and regression to normoglycemia from prediabetes was examined using the Cox proportional hazards regression model in this study. Additionally, the nonlinear association between TyG-BMI and the likelihood of regression to normoglycemia was investigated using the Cox proportional hazards regression with cubic spline function. Competing risk multivariate Cox regression analysis was conducted, with progression to diabetes as a competing risk for prediabetes reversal to normoglycemia. Furthermore, subgroup analyses and a series of sensitivity analyses were performed.
After adjusting for covariates, the results showed that TyG-BMI was negatively associated with the probability of returning to normoglycemia (per 10 units, HR=0.970, 95% CI: 0.965, 0.976). They were also nonlinearly related, with an inflection point for TyG-BMI of 196.46. The effect size (HR) for TyG-BMI to the right of the inflection point (TyG-BMI ≥ 196.46) and the probability of return of normoglycemia was 0.962 (95% CI: 0.954, 0.970, per 10 units). In addition, the competing risks model found a negative correlation between TyG-BMI and return to normoglycemia (SHR=0.97, 95% CI: 0.96-0.98). Sensitivity analyses demonstrated the robustness of our results.
This study demonstrated a negative and nonlinear relationship between TyG-BMI and return to normoglycemia in Chinese adults with prediabetes. Through active intervention, the combined reduction of BMI and TG levels to bring TyG-BMI down to 196.46 could significantly increase the probability of returning to normoglycemia.
尽管 TyG-BMI 与糖尿病前期和糖尿病进展明确相关,但迄今为止尚无研究探讨 TyG-BMI 与糖尿病前期向正常血糖逆转之间的关系。
本回顾性队列研究纳入了 2010 年至 2016 年间进行体检的 25279 例糖尿病前期患者。该研究采用 Cox 比例风险回归模型探讨基线 TyG-BMI 与糖尿病前期向正常血糖逆转的关系。此外,还采用 Cox 比例风险回归与三次样条函数探讨 TyG-BMI 与正常血糖逆转可能性之间的非线性关系。采用竞争风险多变量 Cox 回归分析,以糖尿病进展为糖尿病前期向正常血糖逆转的竞争风险。此外,还进行了亚组分析和一系列敏感性分析。
在校正协变量后,结果显示 TyG-BMI 与恢复正常血糖的概率呈负相关(每增加 10 个单位,HR=0.970,95%CI:0.965,0.976)。两者之间也呈非线性相关,TyG-BMI 的拐点为 196.46。拐点右侧(TyG-BMI≥196.46)TyG-BMI 每增加 10 个单位的效应大小(HR)和正常血糖恢复的概率为 0.962(95%CI:0.954,0.970)。此外,竞争风险模型发现 TyG-BMI 与恢复正常血糖呈负相关(SHR=0.97,95%CI:0.96-0.98)。敏感性分析表明了我们研究结果的稳健性。
本研究表明,在中国糖尿病前期成年人中,TyG-BMI 与恢复正常血糖呈负相关且呈非线性关系。通过积极干预,将 BMI 和 TG 水平联合降低,使 TyG-BMI 降至 196.46,可显著提高恢复正常血糖的概率。