A 7-Point Risk Stratification Tool for EVD Placement in Acute Intracerebral Hemorrhage: A Multivariable Analysis and the Development of Novel Predictive Score (EVD-ICH Score)

Abstract Intracerebral hemorrhage (ICH) is associated with high morbidity and mortality. Intraventricular extension (IVE) and hydrocephalus (HCP) frequently prompt external ventricular drain (EVD) insertion, but objective criteria to guide EVD use are lacking. This article aims to identify clinical and radiological predictors of EVD insertion in spontaneous ICH and to develop a simple bedside scoring system (EVD-ICH score) to support decision-making. This is a prospective observational study of 100 consecutive adults with spontaneous nontraumatic ICH admitted to a tertiary-care center (March 2023 to February 2024). Clinical and CT variables were recorded. Multivariable logistic regression identified independent predictors of EVD insertion. A points-based score was created from adjusted odds ratios and internally validated using receiver operating characteristic (ROC) analysis. Of 100 patients, predictors independently associated with EVD insertion were IVE, HCP, Glasgow coma scale (GCS) ≤ 8, hematoma volume ≥30 mL, and history of hypertension (HTN). The 7-point EVD-ICH score (IVE 2 pts, HCP 2 pts, GCS ≤8 1 pt, ICH ≥30 mL 1 pt, HTN 1 pt) achieved an area under the ROC curve (AUC) of 0.85 (95% CI: 0.78–0.92). Optimal cut-off ≥3 yielded a sensitivity of 80% and a specificity of 77%. Predicted EVD probability ranged from 8% (score 0) to 92% (score 7). The EVD-ICH score provides a concise bedside tool to stratify risk of requiring EVD in spontaneous ICH. External multicenter validation and assessment of impact on patient-centered outcomes are recommended before routine adoption.