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Updated: Jun 10, 2026

A Low Mortality Rat Model to Assess Delayed Cerebral Vasospasm After Experimental Subarachnoid Hemorrhage
Published on: January 17, 2013
Aneurysmal Subarachnoid Hemorrhage Risk Assessment Model Identifies Patients for Safe Early Discharge at Day 15-The
Eric E Kennison1,2, Nick M Murray3,4, Dave S Collingridge1,2,5
1Department of Neurosciences, Intermountain Medical Center, Murray, UT, USA.
This study developed a novel risk assessment model (RAM) to identify patients with aneurysmal subarachnoid hemorrhage (aSAH) who are unlikely to experience late complications. The "SAFE-SaH" model enables earlier discharge for low-risk patients, optimizing hospital resource utilization.
Area of Science:
- Neurosurgery
- Neurology
- Critical Care Medicine
Background:
- Aneurysmal subarachnoid hemorrhage (aSAH) frequently necessitates prolonged hospitalization (21 days) due to potential complications.
- Identifying patients at low risk for delayed complications can facilitate earlier discharge and optimize resource allocation.
Purpose of the Study:
- To develop and validate a risk assessment model (RAM) for predicting post-day-14 complications in aSAH patients.
- To identify candidates for early discharge from day 15 onwards based on early clinical data.
Main Methods:
- A retrospective analysis of 165 adult aSAH patients admitted to a Comprehensive Stroke Center (2017-2024).
- Data included demographics, aSAH severity grading (Hunt Hess Score, modified Fisher Score), and interventions.
- Binary logistic regression with leave-one-out cross-validation (LOOCV) was employed to build the RAM.
Main Results:
- The developed RAM, named "SAFE-SaH" (Sum of Vasopressors, Artery [MCA aneurysm], Fludrocortisone, EVD, Scale [mFS and HHS]), incorporated six key variables.
- The model demonstrated strong predictive performance with an AUC of 0.90, sensitivity of 94%, and negative predictive value of 91% for predicting complications after day 14.
- 54.5% of patients experienced complications during days 15-21, highlighting the need for accurate risk stratification.
Conclusions:
- The "SAFE-SaH" RAM is the first model utilizing early hospitalization data (first 14 days) to predict late complications in aSAH.
- The model's high sensitivity (94%) allows for reliable identification of patients unlikely to develop complications, supporting earlier discharge decisions.
- This tool can aid clinicians in optimizing patient disposition and managing hospital length of stay after aneurysmal subarachnoid hemorrhage.
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