TyG-BMI and METS-IR best parameters for predicting hypertension risk in diabetics: Study

For this purpose, the researchers performed a cross-sectional study with a total of 117,056 participants. Data were extracted from a database that included all medical records of participants who received a health check-up from 2010 to 2016. IR surrogates were classified into quartiles as continuous variables. The relation between different IR surrogate levels and the prevalence of hypertension was estimated using multivariate logistic regression.

For further evaluating the relationship between baseline characteristics and the four IR surrogates, and prevalence of hypertension, and the importance of every single variable for the prevalence of hypertension.

The study demonstrated the following findings:

· Multivariate logistic regression analysis showed that METS-IR and TyG-BMI were independent risk factors for the prevalence of hypertension that increased significantly with increasing METS-IR and TyG-BMI.

· The area under the TyG-BMI curve (AUC) was 0.681, and the cut-off value was 199.5, with respective sensitivity and specificity of 65.57% and 61.18%.

· The area under the METS-IR curve (AUC) was 0.679, and the cut-off value was 33.61, with respective sensitivity and specificity of 69.67% and 56.67%.

· TyG-BMI was the most critical predictor of hypertension prevalence among these four IR surrogates and related variables, with a significance of 34%. The results before and after multiple imputations were similar.

"TyG-BMI and METS-IR (among the IR surrogates described) were independent risk factors for the prevalence of hypertension," the researchers wrote in their conclusion. 

"TyG-BMI and METS-IR had acceptable predictive value for the prevalence of hypertension, and TyG-BMI had the upper hand over METS-IR."

Reference:

Cheng, W., Kong, F. & Chen, S. Comparison of the predictive value of four insulin resistance surrogates for the prevalence of hypertension: a population-based study. Diabetol Metab Syndr 14, 137 (2022). https://doi.org/10.1186/s13098-022-00907-9