Association of Triglyceride–Glucose Body Mass Index with Target Organ Damage in Essential Hypertension: A Retrospective Cohort Study

• Published in: The journal of clinical hypertension (Greenwich, Conn.) Vol. 27; no. 8; pp. e70114 - n/a
• Main Authors: Huang, Xiaodong, Ye, Junnan, Liu, Siyao, Xu, Zhihong, Pan, Mandong, Lin, Jiyan, Xie, Liangdi
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.08.2025; John Wiley and Sons Inc; Wiley
• Subjects: Adult; Aged; Blood Glucose - analysis; Blood Glucose - metabolism; Body Mass Index; Cohort analysis; Essential Hypertension - blood; Essential Hypertension - complications; Essential Hypertension - epidemiology; Essential Hypertension - physiopathology; Female; Humans; Hypertension; Incidence; insulin resistance; Male; Middle Aged; Original; Retrospective Studies; Risk Factors; target organ damage; Triglycerides - blood; triglyceride–glucose body mass index; triglyceride–glucose body mass index; target organ damage; hypertension; insulin resistance
• ISSN: 1524-6175; 1751-7176; 1751-7176
• DOI: 10.1111/jch.70114

ABSTRACT The triglyceride–glucose body mass index (TyG‐BMI) is an emerging composite metabolic indicator in cardiovascular research. However, the link between TyG‐BMI and target organ damage (TOD) in essential hypertension (EH) remains uncertain. This study investigated the association between TyG‐BMI and TOD in patients with EH. We conducted a retrospective cohort study involving 493 individuals with EH. Participants were divided at the cohort‐specific median into high and low TyG‐BMI groups. Over a median follow‐up of 23 months, 191 participants experienced TOD. Kaplan–Meier curves showed a significantly higher cumulative incidence of TOD in the high TyG‐BMI group than in the low TyG‐BMI group (p < 0.05). In multivariable logistic regression, TyG‐BMI remained an independent correlate of TOD (adjusted OR = 1.83, 95% CI: 1.08–3.10; p < 0.05). Least absolute shrinkage and selection operator–Cox regression further selected TyG‐BMI, age, and smoking status as key predictors of TOD. Subgroup analyses revealed that the TyG‐BMI–TOD association was stronger among younger or middle‐aged, normal‐weight, non‐diabetic, non‐smoking subjects (p < 0.05). Finally, the TyG‐BMI‐based model achieved predictive accuracy comparable to that of a conventional risk‐factor model. In conclusion, TyG‐BMI is independently associated with TOD in EH patients. Its predictive value closely mirrors that of combined traditional risk factors, highlighting TyG‐BMI as a promising clinical marker.