Key result
Combined homocysteine and lipid panel accurately identifies large-artery atherosclerosis stroke with ~0.88 AUC.
Why the study?
The diagnostic value of homocysteine combined with lipid indicators for identifying TOAST subtypes and predicting large artery atherosclerosis in young, middle-aged, and pre-elderly adults with cerebral infarction required evaluation and validation.
Does a combined biomarker panel of homocysteine, LDL-C, and HDL-C accurately identify the large artery atherosclerosis (LAA) subtype in young, middle-aged, and pre-elderly adults with cerebral infarction?
Observational (n=243)
No
Does a combined biomarker panel of homocysteine, LDL-C, and HDL-C accurately identify the large artery atherosclerosis (LAA) subtype in young, middle-aged, and pre-elderly adults with cerebral infarction?
A routine laboratory panel combining homocysteine, LDL-C, and HDL-C accurately differentiates large artery atherosclerosis from other ischemic stroke subtypes in adults aged 18-65 years, offering a low-cost screening tool for etiological classification.
Answers are grounded in this paper and cite their sources.
Should not yet change LAA stroke subtyping practice; leaves open prospective validation of combined homocysteine-lipid markers.
Objective: To investigate the diagnostic value of homocysteine (Hcy) combined with lipid indicators for TOAST subtypes in young, middle-aged, and pre-elderly cerebral infarction, and to establish and validate a predictive model for large artery atherosclerosis (LAA).Methods: A total of 163 patients were retrospectively enrolled.Hcy, total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were compared among subtypes.A Logistic model was constructed using Hcy, LDL-C, and HDL-C, and validated by internal validation, 5-fold cross-validation, and external validation (n = 80).Results: Hcy, LDL-C, and HDL-C differed significantly among subtypes (P < 0.05).The combined index showed the best performance for LAA (AUC = 0.876, sensitivity = 84.6%,specificity = 78.8%).All three indicators were independent predictors.The model performed well in internal validation (mean AUC = 0.956) and external validation (AUC = 0.929, accuracy = 86.3%).Conclusions: Hcy combined with LDL-C and HDL-C is effective in identifying LAA.The model shows good stability and generalization ability, which can support clinical screening and individualized management.
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Liu et al. (2026) conducted an observational in Cerebral infarction (n=243). Combined homocysteine (Hcy), LDL-C, and HDL-C index vs. Single biomarker indicators and non-large artery atherosclerosis (non-LAA) TOAST subtypes was evaluated on Diagnostic differentiation of large artery atherosclerosis (LAA) subtype of cerebral infarction (AUC 0.876 (derivation); AUC 0.929 (external validation), p=<0.001). Combined homocysteine, LDL-C, and HDL-C accurately identified large artery atherosclerosis stroke (AUC 0.876, sensitivity 84.6%, specificity 78.8%; external validation AUC 0.929).
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