ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2025
A Composite Model - "VASS-DCI" - for Delayed Cerebral Ischemia Following Aneurysmal Subarachnoid Hemorrhage: Role of VASOGRADE and Inflammatory Biomarkers.
Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Systemic metabolic reprogramming within 24 h predicts delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage.Frontiers in neuroscience · 2026Article
- Old Wine in a New Bottle: Vasograde Scale and Biomarkers, Composite Model in Subarachnoid Hemorrhage.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
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6 authors.
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Abstract
Background and aims: Existing clinical prediction tools for delayed cerebral ischemia (DCI) in aneurysmal subarachnoid hemorrhage (aSAH) patients do not integrate systemic inflammatory status, which is increasingly recognized as a contributor to DCI. We evaluated whether adding inflammatory indices, Systemic Immune-Inflammation Index (SII) and Systemic Inflammation Response Index (SIRI), to existing tools improves DCI prediction. Patients and methods: This retrospective observational study included 624 adult patients with aSAH who underwent clipping or coiling over a 2-year period. Patients were stratified into DCI and non-DCI groups. Multivariable logistic regression identified independent predictors of DCI, which were used to construct a bedside score (VASS-DCI) based on adjusted odds ratios. Receiver operating characteristic (ROC) analysis, DeLong's test, and decision curve analysis (DCA) were used to assess model performance and clinical utility. Results: A total of 179 patients (28.7%) developed DCI. Increasing age, VASOGRADE (yellow/red), SII ≥ 2,056,309, and SIRI ≥ 5,568 were independent predictors of DCI. A multivariable model developed using these variables significantly outperformed the VASOGRADE score (AUC 0.774 vs 0.637; Conclusion: The VASS-DCI score integrates inflammatory, clinical, and radiological parameters into a practical bedside tool for early prediction of DCI in aSAH patients. How to cite this article: Sharma P, Muthuchellappan R, Francis T, Sharma P, Mallesha HS, Nagaraja S. A Composite Model - "VASS-DCI" - for Delayed Cerebral Ischemia Following Aneurysmal Subarachnoid Hemorrhage: Role of VASOGRADE and Inflammatory Biomarkers. Indian J Crit Care Med 2025;29(12):988-995.
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