A nomogram for predicting prognostic risk factors in individuals with poor grade aneurysmal subarachnoid hemorrhage: a retrospective study.

ABSTRACT: Poor-grade aneurysmal subarachnoid hemorrhage (PGASAH) is associated with high mortality and morbidity despite advanced treatments. Accurate prediction of prognosis remains a clinical challenge. This study aimed to identify independent risk factors and develop a predictive nomogram for unfavorable outcomes in PGASAH patients. This retrospective study included 348 PGASAH patients treated between 2003 and 2016. Univariate and multivariate logistic regression analyses were performed to evaluate the association of premorbid conditions, admission aSAH clinical parameters, admission laboratory parameters, and clinical complications with unfavorable outcomes, defined as mRS > 2 at 6 months. Independent predictors were identified, and a nomogram was constructed to assess predictive accuracy and cl

SUBMITTER: Song L 

PROVIDER: S-EPMC11706874 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature