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Updated: Jun 3, 2025
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
Triglyceride-glucose index as a biomarker to differentiate stroke etiologic subtypes: a hospital-based
Nizar Daoussi1, Imen Zemni2, Narjes Gouta1
1Neurology Department, University Hospital Fattouma Bourguiba, Monastir, Tunisia.
Background:
Accurate distinction between stroke etiologic subtypes is critical for physicians to provide tailored treatment. The triglyceride-glucose (TyG) index, a marker of insulin resistance, has been associated with stroke risk but its role in distinguishing stroke etiologic subtypes remains unclear. We aimed to assess the TyG index's ability to differentiate cardioembolic (CE) from non-cardioembolic (NCE) strokes.
Methods:
We studied 320 consecutive stroke patients in a cross-sectional analysis. Binary logistic regression was performed to analyze the association between the TyG index and the studied stroke subtypes. Receiver operating characteristic (ROC) curve analysis identified the optimal TyG index cutoff for CE vs. NCE differentiation.
Results:
TyG index correlated independently with NCE subtype (OR = 2.38; 95% CI = 1.52-3.73; p < 0.001). Logistic regression revealed increasing NCE stroke risk with higher TyG index quartiles. The ROC curve yielded an AUC of 0.636 (95% CI = 0.565-0.707; p < 0.001), with a cutoff of 8.8 (sensitivity = 68.8%, specificity = 57%).
Conclusion:
The TyG index can be a useful biomarker in the differentiation between CE and NCE strokes.
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