Association of the Triglyceride-Glucose Index With Resistant Hypertension and a Nomogram Model Construction.

BACKGROUND

Resistant hypertension (RH) remains one of the major risk factors for cardiovascular disease. This study aims to investigate the association between the triglyceride-glucose (TyG) index and RH incidence in patients with hypertension and to construct a nomogram for predicting the occurrence of RH.

METHODS AND RESULTS

A retrospective cohort study was conducted on 1635 patients initially diagnosed with hypertension at the Affiliated Traditional Chinese Medicine Hospital of Xinjiang Medical University from August 2019 to August 2021. Patients were followed up for a median of 31 months, with 373 cases (22.81%) developing RH. Least absolute shrinkage and selection operator regression and multivariable Cox regression analysis identified the TyG index as the strongest predictor of RH (hazard ratio, 5.472 [95% CI, 4.028-7.433]; <0.001). Consistent results were also observed in subgroup analyses across different ages and sexes. In addition to the TyG index, other independent risk factors, including uric acid, age, and the apnea-hypopnea index, were noted. A nomogram model was subsequently developed using these risk factors, and including the TyG index notably enhanced the diagnostic effectiveness of the model in predicting the occurrence of RH.

CONCLUSIONS

The TyG index appears to be a potential predictor of RH in patients with hypertension, indicating that insulin resistance might be an important factor in the development and progression of RH.