Work

Association of triglyceride-glucose index and triglyceride–glucose–body mass index with all-cause mortality in critically ill patients with aortic disease: A retrospective cohort study

Year: 2026

Type: article

Abstract: Objective: Aortic diseases represent a group of life-threatening vascular disorders that impose a substantial socioeconomic burden. This study aimed to investigate the association between insulin resistance indices and all-cause mortality in with aortic diseases who are critically ill. Methods: Patients diagnosed with aortic diseases were identified, and relevant data were extracted from the Medical Information Mart for Intensive Care IV database. The outcomes of interest were in-hospital, 30-day, 360-day, and 5-year all-cause mortality. Kaplan-Meier survival curves and multivariable Cox regression models were constructed to evaluate the associations of the triglyceride-glucose (TyG) index and triglyceride-glucose-body mass index (TyG-BMI) with mortality. Subgroup analyses were performed to assess the robustness of the associations. Receiver operating characteristic curves were used to compare the predictive performance of the 2 indices. Results: A total of 1726 patients were included in the final analysis. Kaplan-Meier analysis and multivariable Cox regression revealed that elevated TyG and TyG-BMI indices were significantly associated with mortality of aortic diseases. The robust association between the TyG index and mortality was consistent across most subgroups and remained significant even in patients without diabetes mellitus, chronic kidney disease, or stroke. Receiver operating characteristic curve analysis indicated that only the model incorporating the TyG index yielded a significant improvement in predictive performance for 360-day and 5-year mortality. Conclusions: Both the TyG and TyG-BMI indexes were significantly associated with mortality risk in critically ill population with aortic diseases. The TyG index served as a potential prognostic index of all-cause mortality in critically ill population with aortic diseases.

Source: JTCVS Open

DOI: 10.1016/j.xjon.2026.102052

Authors: Jie Liu, Zhaoxin Qian, Jing Cao

Institutions: Central South University, Xiangya Hospital Central South University

Language: English

Topic: Diabetes, Cardiovascular Risks, and Lipoproteins

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,431