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Dataset Information

External validation of outcome prediction scores for aneurysmal subarachnoid hemorrhage in a real-world setting: a monocentric experience.


ABSTRACT:

Objective

To evaluate the applicability and performance of predictive scoring systems for outcome prediction in a real-world cohort of patients with aneurysmatic Subarachnoid Hemorrhage (aSAH), trying to avoid overtreatment and reducing their impact on Intensive Care Unit (ICU) overcrowding.

Methods

All adult patients diagnosed with aSAH from January 2018 to December 2023 were retrospectively collected in a single centre. Predictive scores such as SAFIRE, HATCH, HAIR, and Nutshell were calculated, and their performance was analyzed using receiver operating characteristic (ROC) analysis. Kaplan-Meier curves were estimated by dividing the cohort according to the calculated scores.

Results

Of 274 patients, 72.3% underwent endovascular treatment, 16.1% surgical clipping,

SUBMITTER: De Marco R 

PROVIDER: S-EPMC12394379 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature