Exploring the prognostic impact of triglyceride-glucose index in critically ill patients with first-ever stroke: insights from traditional methods and machine learning-based mortality prediction
2024

Impact of Triglyceride-Glucose Index on Stroke Outcomes

Sample size: 3374 publication 10 minutes Evidence: high

Author Information

Author(s): Chen Yang, Yang Zhenkun, Liu Yang, Li Yuanjie, Zhong Ziyi, McDowell Garry, Ditchfield Coleen, Guo Taipu, Yang Mingjuan, Zhang Rui, Huang Bi, Gue Ying, Lip Gregory Y. H.

Primary Institution: Liverpool Centre for Cardiovascular Science at University of Liverpool

Hypothesis

The study aims to explore the relationships between the triglyceride-glucose index (TyG) and ICU all-cause mortality in first-ever stroke patients.

Conclusion

The triglyceride-glucose index is an independent risk factor for ICU and hospital all-cause mortality in first-ever stroke patients.

Supporting Evidence

  • High TyG levels were associated with increased ICU and hospital all-cause mortality.
  • TyG was correlated with longer ICU and hospital stays.
  • TyG negatively impacted Glasgow Coma Scores, indicating poorer neurological function.

Takeaway

Higher levels of triglyceride-glucose index can mean a higher risk of dying in the hospital for people having their first stroke.

Methodology

The study used multivariate Cox proportional hazards models and machine learning techniques to analyze data from ICU patients with first-ever strokes.

Potential Biases

Potential selection bias due to the retrospective nature of the study.

Limitations

The study is retrospective and may have selection bias; it also lacks detailed pre-hospital medication records and specific data on stroke severity.

Participant Demographics

Median age of 68 years, 63% male, primarily White.

Statistical Information

P-Value

p<0.001

Confidence Interval

95% CI 1.38–2.66

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/s12933-024-02538-y

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