Influence of End-Stage Renal Disease on Hematoma Volume and Intraventricular Hemorrhage in Patients with Intracerebral Hemorrhage: A Cohort Study and Meta-Analysis

Eur Neurol. 2016;75(1-2):33-40. doi: 10.1159/000442572. Epub 2016 Jan 7.

Abstract

Objective: To assess the association between end-stage renal disease (ESRD) and hematoma volume and intraventricular hemorrhage (IVH), we performed a meta-analysis of all available evidence, including data from our own center.

Methods: We reviewed major literature databases to identify studies on association between ESRD and hematoma volume and IVH, and the association between ESRD and hematoma site. We then combined these data with those from our own retrospective cohort study. The relationship between ESRD and functional outcome was analyzed using logistic regression.

Results: Our retrospective study involved 15 patients with ESRD of 302 subjects. The results showed that patients with ESRD had larger hematoma volume (p = 0.028), higher proportion of patients with hematoma volume over 30 ml (OR 3.89, 95% CI 1.20-12.56 in model 1 and OR 3.72, 95% CI 1.15-12.06 in model 3), and higher incidence of IVH (OR 3.45, 95% CI 1.14-10.46 in model 1 and OR 3.22, 95% CI 1.07-9.66 in model 2) than patients without ESRD. The meta-analysis further supported a relationship between the risk of ESRD and hematoma volume (p = 0.014), as well as IVH (OR 2.82, 95% CI 2.03-3.91). On multivariate analysis, ESRD was significantly associated with the mortality at the third month (OR 7.534, 95% CI 1.495-38.491).

Conclusions: Evidence strongly suggests that ESRD is independently associated with hematoma volume and IVH, and is an independent risk factor for mortality at the third month.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Cerebral Hemorrhage / complications*
  • Cerebral Hemorrhage / pathology*
  • Cohort Studies
  • Hematoma / etiology
  • Hematoma / pathology
  • Humans
  • Incidence
  • Kidney Failure, Chronic / complications*
  • Logistic Models
  • Male
  • Retrospective Studies
  • Risk Factors