https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45752 7) and year of stroke. We estimated predictors of case-fatality and functional outcome using Poisson regression and generalized estimating equations using log-binomial models respectively at multiple timepoints. Results: Case-fatality rate was 33% at 1 month, 43% at 1 year, and 47% at 5 years. Poor functional outcome was present in 27% of survivors at 1 month and 15% at 1 year. In multivariable analysis, predictors of death at 1-month were age (per decade increase MRR 1.14 [1.07-1.22]) and SAH severity (MRR 1.87 [1.50-2.33]); at 1 year were age (MRR 1.53 [1.34-1.56]), current smoking (MRR 1.82 [1.20-2.72]) and SAH severity (MRR 3.00 [2.06-4.33]) and; at 5 years were age (MRR 1.63 [1.45-1.84]), current smoking (MRR 2.29 [1.54-3.46]) and severity of SAH (MRR 2.10 [1.44-3.05]). Predictors of poor functional outcome at 1 month were age (per decade increase RR 1.32 [1.11-1.56]) and SAH severity (RR 1.85 [1.06-3.23]), and SAH severity (RR 7.09 [3.17-15.85]) at 1 year. Conclusion: Although age is a non-modifiable risk factor for poor outcomes after SAH, however, severity of SAH and smoking are potential targets to improve the outcomes.]]> Wed 13 Mar 2024 08:50:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34541 Wed 09 Mar 2022 16:02:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54206 Tue 13 Feb 2024 11:43:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41725 2 or Barthel Index score <20) at 1 year (10 studies, n = 4,852) and 5 years (7 studies, n = 2,226). Multivariable linear regression was used to compare the mean difference (MD) in participation restriction by use of the London Handicap Scale (range 0-100 with lower scores indicating poorer outcome) for women compared to men at 5 years (2 studies, n = 617). For each outcome, study-specific estimates adjusted for confounding factors (e.g., sociodemographics, stroke-related factors) were combined with the use of random-effects meta-analysis. Results: In unadjusted analyses, women experienced worse functional outcomes after stroke than men (1 year: pooled RR_unadjusted 1.32, 95% confidence interval [CI] 1.18-1.48; 5 years: RR_unadjusted 1.31, 95% CI 1.16-1.47). However, this difference was greatly attenuated after adjustment for age, prestroke dependency, and stroke severity (1 year: RR_adjusted 1.08, 95% CI 0.97-1.20; 5 years: RR_adjusted 1.05, 95% CI 0.94-1.18). Women also had greater participation restriction than men (pooled MD_unadjusted-5.55, 95% CI -8.47 to -2.63), but this difference was again attenuated after adjustment for the aforementioned factors (MD_adjusted-2.48, 95% CI -4.99 to 0.03). Conclusions: Worse outcomes after stroke among women were explained mostly by age, stroke severity, and prestroke dependency, suggesting these potential targets to improve the outcomes after stroke in women.]]> Fri 12 Aug 2022 13:12:50 AEST ]]>