Brain Sciences (Oct 2023)

Frailty as a Predictor of Outcomes in Subarachnoid Hemorrhage: A Systematic Review and Meta-Analysis

  • Michael Fortunato,
  • Fangyi Lin,
  • Anaz Uddin,
  • Galadu Subah,
  • Rohan Patel,
  • Eric Feldstein,
  • Aiden Lui,
  • Jose Dominguez,
  • Matthew Merckling,
  • Patricia Xu,
  • Matthew McIntyre,
  • Chirag Gandhi,
  • Fawaz Al-Mufti

DOI
https://doi.org/10.3390/brainsci13101498
Journal volume & issue
Vol. 13, no. 10
p. 1498

Abstract

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Frailty is an emerging concept in clinical practice used to predict outcomes and dictate treatment algorithms. Frail patients, especially older adults, are at higher risk for adverse outcomes. Aneurysmal subarachnoid hemorrhage (aSAH) is a neurosurgical emergency associated with high morbidity and mortality rates that have previously been shown to correlate with frailty. However, the relationship between treatment selection and post-treatment outcomes in frail aSAH patients is not established. We conducted a meta-analysis of the relevant literature in accordance with PRISMA guidelines. We searched PubMed, Embase, Web of Science, and Google Scholar using “Subarachnoid hemorrhage AND frailty” and “subarachnoid hemorrhage AND frail” as search terms. Data on cohort age, frailty measurements, clinical grading systems, and post-treatment outcomes were extracted. Of 74 studies identified, four studies were included, with a total of 64,668 patients. Percent frailty was 30.4% under a random-effects model in all aSAH patients (p p < 0.001). There was no significant difference in mortality rate between frail and non-frail aSAH patients, but this analysis only included two studies and should be interpreted cautiously. Age and clinical grading, rather than frailty, independently predicted outcomes and mortality in aSAH patients.

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