Predictors of Clinical Outcome in Acute Haemorrhagic Stroke over a 30 Day Period Using Computed Tomography Scan

Author(s): Kolade-Yunusa HO, Salaam AJ and Danjem SM

Background: Stroke is a major public health problem and a major cause of death and disability with a large percentage of death from stroke occurring in the developed countries. Several studies have tried to predict clinical outcome using various clinical and radiologic factors to account for the mortality risk in patients with stroke and most of these data are from the West and Asian countries. Objective: To determine the computed tomography findings that predicts clinical outcome in patients with acute haemorrhagic stroke. Methods: This is a descriptive cross-sectional study comprising of 153 adults diagnosed of haemorrhagic stroke having a brain computed tomography findings of haemorrhage. Non enhanced CT Images of the brain were obtained using the Toshiba Activion 16-slice CT scanners, Japan 2012. Computed tomography findings were used to predict outcomes among patients with haemorrhagic stroke. Results: The mean volume of hematoma for patients who survived was 23.12 ml ± 6.7 and 45.15 ml ± 14.05 for patients that died within the 30 day period. This was statistically significance p=0.02. Hematoma volume, ventricular extension of blood, midline shift presence of subarachnoid haemorrhage and location of haemorrhage correlated with clinical outcome over the period. However, independent predictors of clinical outcome are hematoma volume >30 ml (odd ratio=27.5), ventricular extension of blood (odd ratio=8.4), presence of subarachnoid haemorrhage (odd ratio=20.7). Conclusion: Heamatoma volume, intraventricular extension of blood and presence of subarachnoid haemorrhage are predictors of mortality in patients with haemorrhagic stroke.


+44 7460312890
Emerging Sources Citation Index (ESCI)
Emerging Sources Citation Index
Emerging Sources Citation Index
Indexed in

PubMed Central Index Copernicus Emerging Sources Citation Index
Abstracted/Indexed in

  • Include Baidu Scholar
  • CNKI (China National Knowledge Infrastructure)
  • EBSCO Publishing's Electronic Databases
  • Exlibris – Primo Central
  • Google Scholar
  • Hinari
  • Infotrieve
  • National Science Library
  • ProQuest
  • TdNet
  • African Index Medicus
Annals of Medical and Health Sciences Research The Annals of Medical and Health Sciences Research is a bi-monthly multidisciplinary medical journal. more >>
Submit your Manuscript

Recommended Conferences

Medical Summit and Expo on Healthcare and Medicine
London, United Kingdom