1.
The Prognostic Roles of Perihematomal Edema and Ventricular Size in Patients with Intracerebral Hemorrhage
Lee KH, Lioutas VA, Marchina S, Selim M
Neurocritical care. 2022
Abstract
BACKGROUND Conflicting data exist regarding the association of perihematomal edema (PHE) with outcomes after intracerebral hemorrhage (ICH). We performed a post hoc analysis of the ICH Deferoxamine trial to examine whether an early change in ventricular size (VS), as a composite measure of PHE growth and mass effect, intraventricular hemorrhage, and hydrocephalus, is a more accurate predictor of outcome than PHE measures alone. METHODS Computerized tomography scans were performed at baseline and after 72-96 h. We evaluated measures of PHE and change in VS as predictors of outcome, assessed by a dichotomized modified Rankin Scale score (0-2 versus 3-6), primarily at 90 days and secondarily at 30 days. A multivariable logistic regression model was fitted for each predictor, with adjustment for the same confounders. RESULTS A total of 248 participants were included after we excluded those requiring external ventricular drains. On univariate analyses, older age, female sex, lower Glasgow Coma Scale score and baseline temperature, greater ICH volume, absolute PHE volume, edema extension distance at presentation, lesser changes in relative PHE volume and edema extension distance, and an increase in VS were associated with poor outcome. In multivariable analyses, only the increase in VS was associated with lower odds of modified Rankin Scale scores 0-2 at 90 days (odds ratio 0.927, 95% confidence interval 0.866-0.970, p = 0.001) and 30 days (odds ratio 0.931, 95% confidence interval 0.888-0.975, p = 0.003). CONCLUSIONS Within the context of a randomized controlled trial with standardized imaging and functional assessments, we did not find significant associations between measures of PHE and outcome but documented an independent association between early increase in VS and lower odds of good clinical outcome.
2.
Perihematomal Edema and Clinical Outcome After Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis
Marchina S, Trevino-Calderon JA, Hassani S, Massaro JM, Lioutas VA, Carvalho F, Selim M
Neurocritical care. 2022
Abstract
BACKGROUND Perihematomal edema (PHE) has been proposed as a radiological marker of secondary injury and therapeutic target in intracerebral hemorrhage (ICH). We conducted a systematic review and meta-analysis to assess the prognostic impact of PHE on functional outcome and mortality in patients with ICH. METHODS We searched major databases through December 2020 using predefined keywords. Any study using logistic regression to examine the association between PHE or its growth and functional outcome was included. We examined the overall pooled effect and conducted secondary analyses to explore the impact of individual PHE measures on various outcomes separately. Study quality was assessed by three independent raters using the Newcastle-Ottawa Scale. Odds ratios (per 1-unit increase in PHE) and their confidence intervals (CIs) were log transformed and entered into a DerSimonian-Laird random-effects meta-analysis to obtain pooled estimates of the effect. RESULTS Twenty studies (n = 6633 patients) were included in the analysis. The pooled effect size for overall outcome was 1.05 (95% CI 1.02-1.08; p < 0.00). For the following secondary analyses, the effect size was weak: mortality (1.01; 95% CI 0.90-1.14), functional outcome (1.04; 95% CI 1.02-1.07), both 90-day (1.06; 95% CI 1.02-1.11), and in-hospital assessments (1.04; 95% CI 1.00-1.08). The effect sizes for PHE volume and PHE growth were 1.04 (95% CI 1.01-1.07) and 1.14 (95% CI 1.04-1.25), respectively. Heterogeneity across studies was substantial except for PHE growth. CONCLUSIONS This meta-analysis demonstrates that PHE volume within the first 72 h after ictus has a weak effect on functional outcome and mortality after ICH, whereas PHE growth might have a slightly larger impact during this time frame. Definitive conclusions are limited by the large variability of PHE measures, heterogeneity, and different evaluation time points between studies.