The association between triglyceride glucose-body mass index and all-cause and cardiovascular mortality in diabetes patients: a retrospective study from NHANES database.

The triglyceride glucose body mass index (TyG-BMI) is a potential indicator for insulin resistance, but its association with mortality in diabetic patients is unclear. This study investigates the relationship between TyG-BMI and all-cause and cardiovascular mortality in diabetics. The study included 3109 diabetic patients from the National Health and Nutrition Examination Survey (2001-2018). Mortality data were obtained from National Death Index records until 31 December 2019. Multivariate Cox models analyzed the association between TyG-BMI and mortality. Non-linear correlations were assessed using restricted cubic splines, and a two-piecewise Cox model evaluated the relationship on both sides of the inflection point. Over a median 7.25-year follow-up, 795 total and 238 cardiovascular deaths occurred. A U-shaped link was found between initial TyG-BMI and mortality in diabetic patients. Low TyG-BMI (< 279.67 for all-cause, < 270.19 for CVD) reduced death risks (all-cause: HR 0.77, 95% CI 0.69-0.86; CVD: HR 0.64, 95% CI 0.48-0.86). High TyG-BMI (> 279.67 for all-cause, > 270.19 for CVD) increased these risks (all-cause: HR 1.26, 95% CI 1.10-1.44; CVD: HR 1.33, 95% CI 1.06-1.68). In the NHANES study population, a U-shaped association was observed between the baseline TyG-BMI index and all-cause mortality or CVD in diabetic patients.

[Relationship between PPARγ2 Pro12Ala polymorphism and type 2 diabetes mellitus in Chinese Han population: a Meta-analysis].

OBJECTIVE: To evaluate the relationship between peroxisome proliferator-activated receptor-γ2 (PPARγ2) Pro12Ala polymorphism and type 2 diabetes mellitus (T2DM) in Chinese Han population. METHODS: PubMed, Chinese Biomedicine Database (CBM), China National Knowledge Infrastructure (CNKI) and Wanfang database were searched for all relevant articles investigating the association between PPARγ2 Pro12Ala polymorphism and T2DM that were available from January, 1990 to June, 2011. A total of 29 relevant articles were selected. A Meta-analysis was performed to estimate heterogeneity and the pooled odds ratio (OR) to evaluate the relationship between PPARγ2 Pro12Ala polymorphism and T2DM. The sensitivity analysis was also assessed. RESULTS: A total of 21 qualified articles including 3870 patients with T2DM and 3333 healthy controls were analyzed in the study. The frequencies of the allele Ala12 in T2DM and control groups were 4.13% (320/7740) and 4.56% (304/6666), respectively. There were not heterogeneity (χ(2) = 25.96, P = 0.17) among the 21 qualified articles. The pooled OR (95%CI) value of the frequencies of the PPARγ2 genotype (PA + AA)/PP calculated by fixed effects model was 0.96 (0.81 - 1.14) (P = 0.64). There was not heterogeneity among the remaining articles after excluding the article with the largest weight and the article with larger frequencies of the allele Ala12 respectively (χ(2) values were 24.23, 16.87 respectively, both P values > 0.05). The pooled OR (95%CI) value of the frequencies of the PPARγ2 genotype (PA + AA)/PP of the remaining articles were 1.01 (0.84 - 1.21) and 1.07 (0.89 - 1.28) after excluding the article with the largest weight and the article with larger frequencies of the allele Ala12 (both P values > 0.05). CONCLUSION: PPARγ2 Pro12Ala polymorphism was not associated with type 2 diabetes mellitus in Chinese Han population.