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Triglyceride index as a predictor of mortality after cardiac surgery
Huili Li1,2, Fei Xiao2, Haiqiang Ren3
1Emergency Department, The State Key Laboratory for Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Background:
The triglyceride-glucose (TyG) index, a marker for insulin resistance, has been linked to adverse cardiac outcomes. Its role in predicting mortality following cardiac surgery remains unclear.
Methods:
This study analyzed 1,810 cardiac surgery patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, categorized by TyG index levels. Mortality was the primary outcome, assessed through Cox proportional hazards regression, time-dependent receiver operating characteristic (ROC) analysis, and restricted cubic splines.
Results:
Over a 13-year follow-up, 83 patients died. Higher TyG index levels were associated with increased mortality risk (hazard ratio [HR] = 1.206, 95% confidence interval [CI], 1.121-1.297, p < 0.001). Time-dependent ROC analysis showed areas under the curve (AUCs) of 0.914, 0.857, and 0.801 at 1, 3, and 5 years, respectively. The TyG index-based model outperformed established scoring systems in predicting mortality.
Conclusions:
Elevated TyG index levels are significantly associated with higher mortality risk after cardiac surgery, highlighting its potential as a prognostic marker in this population.
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