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The Triglyceride-Glucose Index is associated with hospital and Intensive Care Unit Mortality in critically ill
Zihuai Huang1, Qianqian Zou2, Ya Lin3
1Orthopedics Department, Wenzhou Peoples' Hospital, Wenzhou, Zhejiang, China.
Insights
The triglyceride-glucose (TyG) index can predict mortality in critically ill patients with acute coronary syndrome (ACS). Higher TyG index values are linked to increased hospital and intensive care unit (ICU) mortality risks.
Area of Science:
- Cardiology
- Critical Care Medicine
- Biochemistry
Background:
- Acute coronary syndrome (ACS) is a major cause of mortality globally.
- Effective risk stratification for ACS patients remains a critical challenge.
- Limited attention has been given to predictive markers for ACS patient outcomes.
Purpose of the Study:
- To evaluate the predictive utility of the triglyceride-glucose (TyG) index.
- To assess the association between the TyG index and mortality in critically ill ACS patients.
- To determine if the TyG index can serve as a risk stratification tool for ACS.
Main Methods:
- Utilized data from the eICU Collaborative Research Database.
- Calculated the TyG index using fasting glucose and triglyceride levels.
- Employed logistic regression, subgroup analysis, and graphical methods to analyze hospital and ICU mortality endpoints.
Main Results:
- Included 5237 critically ill ACS patients.
- Demonstrated significantly higher TyG index values in non-survivors compared to survivors.
- Confirmed TyG index as a significant independent predictor of both hospital and ICU mortality across various analyses.
Conclusions:
- The triglyceride-glucose (TyG) index is a valuable and independent predictor.
- TyG index aids in risk stratification for critically ill patients with ACS.
- This index can help identify patients at higher risk of mortality.
Background:
Acute coronary syndrome (ACS) is one of the leading causes of death, but there is no attention paid to the risk stratification of patients with ACS.
Aims:
We evaluated the utility of the triglyceride-glucose (TyG) index in predicting the hospital and intensive care unit (ICU) mortality of critically ill patients with ACS.
Materials And Methods:
The study patients were collected from the eICU Collaborative Research Database. TyG index was calculated as the ln (fasting glucose level [mg/dL] × triglyceride level [mg/dL]/2). The endpoints were hospital and ICU mortality. The univariate and multivariate logistic regressions and subgroup analysis were used to determine the relationship between the TyG index and two endpoints. The scatter plots, bar graphs and smoothing curves further proved it.
Results:
5237 critically ill patients with ACS were enrolled. The TyG index was obviously higher in nonsurvivors groups than survivors groups. TyG index was significantly associated with hospital mortality in univariate analysis (odds ratio [OR] 1.33, 95% confidence interval [CI] 1.15-1.53, P < 0.001), adjusted model I (OR 1.59, 95% CI 1.36-1.85, P < 0.001) and adjusted model II (OR 2.23, 95% CI 1.50-3.31, P < 0.001). The ICU mortality showed the same trends (OR 1.50, 95% CI 1.26-1.78, OR 1.73, 95% CI 1.45-2.06, OR 2.53, 95% CI 1.59-4.03, P < 0.001). The same trends were observed after stratified by tertiles and quartiles. There were continuous linear relations between the TyG index and hospital and ICU mortality.
Conclusion:
TyG index is an independent predictor of ICU and hospital mortality in critically ill patients with ACS.
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