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| IJCEM Copyright © 2008-All rights reserved. Published by e-Century Publishing Corporation, Madison, WI 53711 |
Int J Clin Exp Med 2(2):41-47;2009
Original Article
Predictors of in-Hospital Mortality after Acute Stroke: Impact of Gender
Waleed M. Sweileh, Ansam F. Sawalha, Sana M. Al-Aqad, Sa’ed H Zyoud, Samah W. Al-Jab
College of Pharmacy, An-Najah National University, Nablus, Palestine; Poison Control and Drug Information Center (PCDIC), An-Najah
National University, Nablus, Palestine.
Received November 6, 2008; accepted, November 15, 2008; available online January 30, 2009
Abstract: The purpose of this study was to identify predictors of in-hospital mortality after acute stroke and investigate the impact of
gender on stroke mortality. All patients admitted to Al-watani governmental hospital in Palestine from September 2006 to August 2007
and diagnosed with acute stroke were included in the study. Diagnosis of stroke was confirmed by computerized tomography scan.
Demographics and clinical data pertaining to the patients were obtained from their medical files. The main outcome measure in this
study was vital status at hospital discharge. Multiple logistic regression analysis was used to identify the independent predictors of in-
hospital mortality. Statistical analysis was carried out using SPSS 15.A total of 186 acute stroke cases (95 females and 91 males) were
included in the study. Hypertension (69.9%) and diabetes mellitus (45.2%) were the most common risk factors among the patients.
Thirty nine (21%) of the stroke patients died in hospital. Multiple logistic regression analysis indicated that chronic kidney disease (P =
0.004), number of post-stroke complications (P= 0.037), and stroke subtype (P = 0.015) were independent predictors of in-hospital
mortality among the total stroke patients. Conclusion: Knowledge of in-hospital mortality predictors is required to improve survival rate
after acute stroke. The study showed that gender was not an independent predictor of mortality after acute stroke. More research is
required to understand gender differences in stroke mortality.(IJCEM811001).
Key Words: Predictors, hospital mortality, acute stroke, gender
Full Text PDF
Address all correspondence to: Waleed M. Sweileh, PhD, Clinical Pharmacology, College of Pharmacy, Clinical Pharmacy Graduate
Program, An-Najah National University, Nablus, Palestine. Tel. +972 599 225 906, +9728585294 0475, E-mail: waleedsweileh@najah.
edu ; waleedsweileh@yahoo.com
Original Article
Predictors of in-Hospital Mortality after Acute Stroke: Impact of Gender
Waleed M. Sweileh, Ansam F. Sawalha, Sana M. Al-Aqad, Sa’ed H Zyoud, Samah W. Al-Jab
College of Pharmacy, An-Najah National University, Nablus, Palestine; Poison Control and Drug Information Center (PCDIC), An-Najah
National University, Nablus, Palestine.
Received November 6, 2008; accepted, November 15, 2008; available online January 30, 2009
Abstract: The purpose of this study was to identify predictors of in-hospital mortality after acute stroke and investigate the impact of
gender on stroke mortality. All patients admitted to Al-watani governmental hospital in Palestine from September 2006 to August 2007
and diagnosed with acute stroke were included in the study. Diagnosis of stroke was confirmed by computerized tomography scan.
Demographics and clinical data pertaining to the patients were obtained from their medical files. The main outcome measure in this
study was vital status at hospital discharge. Multiple logistic regression analysis was used to identify the independent predictors of in-
hospital mortality. Statistical analysis was carried out using SPSS 15.A total of 186 acute stroke cases (95 females and 91 males) were
included in the study. Hypertension (69.9%) and diabetes mellitus (45.2%) were the most common risk factors among the patients.
Thirty nine (21%) of the stroke patients died in hospital. Multiple logistic regression analysis indicated that chronic kidney disease (P =
0.004), number of post-stroke complications (P= 0.037), and stroke subtype (P = 0.015) were independent predictors of in-hospital
mortality among the total stroke patients. Conclusion: Knowledge of in-hospital mortality predictors is required to improve survival rate
after acute stroke. The study showed that gender was not an independent predictor of mortality after acute stroke. More research is
required to understand gender differences in stroke mortality.(IJCEM811001).
Key Words: Predictors, hospital mortality, acute stroke, gender
Full Text PDF
Address all correspondence to: Waleed M. Sweileh, PhD, Clinical Pharmacology, College of Pharmacy, Clinical Pharmacy Graduate
Program, An-Najah National University, Nablus, Palestine. Tel. +972 599 225 906, +9728585294 0475, E-mail: waleedsweileh@najah.
edu ; waleedsweileh@yahoo.com
