Clinics (Sao Paulo, Brazil) · 2026
Triglyceride-glucose and TyG-BMI indexes predict acute pancreatitis in adult critically ill patients admitted to intensive care.
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Luo Yong Peng, Lin Meng Ni, Zhang Miao Long, Jiang Yong'An, Pan Luo Feng, Huang Zeng
Аннотация
BACKGROUND: The Triglyceride-Glucose Index (TyG) has emerged as a convenient surrogate marker of insulin resistance and has been linked to various metabolic disorders. However, its relationship with Acute Pancreatitis (AP) in adult critically ill patients remains unclear.
METHODS: The authors analyzed 2,588 adult critically ill patients from the MIMIC database. Participants were stratified by median TyG and TyG-BMI indices. Logistic regression, restricted cubic spline, and subgroup analyses evaluated associations with AP risk. ROC curves assessed predictive performance.
RESULTS: High TyG and TyG-BMI groups exhibited greater metabolic derangements, longer ICU/hospital stays, and higher comorbidity burden. AP patients (9.4%) had elevated TyG levels (9.9 vs. 8.7, p < 0.001). Both indices were independently associated with AP risk in continuous, IQR, and quartile analyses (TyG: OR per IQR = 2.08, 95% CI 1.75-2.48; TyG-BMI: OR per IQR = 1.34, 95% CI 1.12-1.58). TyG showed linear dose-response, whereas TyG-BMI exhibited nonlinear associations. Associations were consistent across subgroups. ROC analysis indicated superior predictive ability for TyG (AUC = 0.809) versus TyG-BMI (AUC = 0.787, p = 0.00227).
CONCLUSION: Both TyG and TyG‑BMI indices are independent predictors of acute pancreatitis, with TyG demonstrating a statistically higher but modestly improved discriminative performance.
METHODS: The authors analyzed 2,588 adult critically ill patients from the MIMIC database. Participants were stratified by median TyG and TyG-BMI indices. Logistic regression, restricted cubic spline, and subgroup analyses evaluated associations with AP risk. ROC curves assessed predictive performance.
RESULTS: High TyG and TyG-BMI groups exhibited greater metabolic derangements, longer ICU/hospital stays, and higher comorbidity burden. AP patients (9.4%) had elevated TyG levels (9.9 vs. 8.7, p < 0.001). Both indices were independently associated with AP risk in continuous, IQR, and quartile analyses (TyG: OR per IQR = 2.08, 95% CI 1.75-2.48; TyG-BMI: OR per IQR = 1.34, 95% CI 1.12-1.58). TyG showed linear dose-response, whereas TyG-BMI exhibited nonlinear associations. Associations were consistent across subgroups. ROC analysis indicated superior predictive ability for TyG (AUC = 0.809) versus TyG-BMI (AUC = 0.787, p = 0.00227).
CONCLUSION: Both TyG and TyG‑BMI indices are independent predictors of acute pancreatitis, with TyG demonstrating a statistically higher but modestly improved discriminative performance.