System Inflammation Response Index and Serum Glucose-Potassium Ratio as Prognostic Indicators for Hemorrhagic Moyamoya Disease.

Background: Hemorrhagic moyamoya disease (HMMD) can result in poor outcomes. Serum biomarkers may play a significant role in predicting HMMD outcomes. This study retrospectively analyzed the correlation between serum biomarkers at the time of admission and outcomes for patients with HMMD.

Methods: We evaluated 270 patients with HMMD admitted to Yijishan Hopital of Wannan Medical College between July 2017 and April 2023. The patients were categorized into 2 groups according to their modified Rankin Scale scores at 3 months after discharge. Univariate and multivariate analyses were used to identify the associations between biomarkers and clinical outcomes. Receiver operating characteristic curves were obtained to investigate the potential of the biomarkers for predicting prognosis.

Results: Of the 270 patients analyzed, 96 (35.6%) had unfavorable outcomes. The potential predictors were identified using the univariate analysis. The subsequent multivariate logistic regression analysis showed that the systemic inflammatory response index (SIRI) (odds ratio 0.86, 95% confidence interval 0.75-0.98, P = 0.028] and serum glucose to potassium ratio (GPR) (odds ratio 0.53, 95% confidence interval 0.38-0.76, P < 0.001) were independent risk factors of poor outcomes. The receiver operating characteristic analysis indicated that patients with a higher SIRI (≥2.12) and GPR (≥1.75) levels were more likely to have unfavorable outcomes.

Conclusions: An elevated GPR and SIRI at admission were associated with a poor clinical outcome at the 3-month follow-up for patients with HMMD. Therefore, these biomarkers could be considered in future management decisions for these patients.