Joint effect of triglyceride-glucose index and low-density lipoprotein cholesterol on mortality and days alive out of hospital in acute stroke: a multi-center machine learning-based cohort study

Diabetes Res Clin PractPublished Multicentre retrospective cohort study

Main finding · Highest in-hospital mortalityResult — go to the resultOdds ratio 3.36 95% CI 2.37–4.76

Authors' conclusion

High TyG combined with low LDL-C identifies a high-risk phenotype in acute stroke, significantly associated with adverse outcomes.

Study context

Population
Patients with acute stroke in MIMIC (derivation) and eICU-CRD (external validation) databases3,028 MIMIC + 2,385 eICU
Exposure
Combined triglyceride-glucose (TyG) index and LDL-C categories
Outcome
Mortality and days alive out of hospital (DAOH90)
Methodological detailsmulti-center, derivation cohort (MIMIC) with external validation (eICU-CRD), machine learning-based
  • Multi-center
  • Derivation cohort (MIMIC) with external validation (eICU-CRD)
  • Machine learning-based

Main finding

Highest in-hospital mortality

Odds ratio

3.36

95% CI 2.37–4.76

Low LDL-C + high TyG
OR 3.36 (95% CI 2.37–4.76)

As reported in the abstract

Observational data: associations, not effects.

Further findings

Inpatient statin use

Inpatient statin use was associated with lower mortality

Mediation by WBC of TyG–in-hospital mortality association

Proportion mediated by WBC
15.46%

Machine-learning prediction of mortality (nine selected predictors)

GBM best performance, AUC
0.802

Original publication

Joint effect of triglyceride-glucose index and low-density lipoprotein cholesterol on mortality and days alive out of hospital in acute stroke: a multi-center machine learning-based cohort study. Diabetes Res Clin Pract. Published 24 September 2026. doi:10.1016/j.diabres.2026.113582

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