Babak Bakhshayesh; Mozaffar Hosseininezhad; Seyed Mohammad Seyed Saadat; Morvarid Hajmanuchehri; Ehsan Kazemnezhad; Amir-Reza Ghayeghran
Volume 13, Issue 4 , December 2014, , Pages 231-236
Abstract
Background: Intracerebral hemorrhage (ICH) is the most fatal subtype of stroke. Despite limited effective therapy, there is no accepted clinical grading scale to predict in- hospital mortality, especially in developing nations. The purpose of this study was to assess the ...
Read More
Background: Intracerebral hemorrhage (ICH) is the most fatal subtype of stroke. Despite limited effective therapy, there is no accepted clinical grading scale to predict in- hospital mortality, especially in developing nations. The purpose of this study was to assess the predictors of in- hospital mortality among a sample of Iranian patients with spontaneous ICH for use at the time of the first evaluation.Methods: This prospective study was carried from January 2010 to the end of January 2011. Demographic, clinical, and laboratory data of ICH patients were collected. Hematoma volume and perihematoma edema (PHE) were measured on brain computed tomography scan using ABC/2 formula. Logistic regression analysis was performed to determine independent variables contributing to in- hospital mortality.Results: Of a total 167 consecutive ICH patients, 98 patients met inclusion criteria. Mean ± standard deviation age of patients was 70.16 ± 12.52. Afte multivariate analysis, five variables remained as independent predictors of in-hospital mortality included: age [odds ratio (OR) = 1.12, 95% confidence interval (CI) = 1.03-1.23, P = 0.009], diabetes mellitus (OR = 10.86, 95% CI = 1.08- 109.24, P = 0.009), National Institutes of Health Stroke Scale (NIHSS) score (OR = 1.41, 95% CI = 1.08-1.68, P ≤ 0.001), as well as volume of hematoma (OR = 1.1, 95% CI = 1.03-1.17, P = 0.003), and PHE (OR = 0.75, 95% CI = 0.60-0.93, P = 0.010).Conclusion: Our results indicate that older age, diabetes mellitus, higher NIHSS, as well as larger volume of hematoma, and smaller PHE on admission are important predictors of in-hospital mortality in our ICH patients.
Ghasem Salehpoor; Mozaffar Hosseininezhad; Sajjad Rezaei
Volume 11, Issue 3 , September 2012, , Pages 96-105
Abstract
Background: Multiple sclerosis (MS) is a neurological disease with fatigue as most prevalent symptom. Psychopathological symptoms, physical and mental dysfunctions and body mass abnormalities potentially could deteriorate fatigue. Thus, in this study, we aimed at evaluating the effect of these factors ...
Read More
Background: Multiple sclerosis (MS) is a neurological disease with fatigue as most prevalent symptom. Psychopathological symptoms, physical and mental dysfunctions and body mass abnormalities potentially could deteriorate fatigue. Thus, in this study, we aimed at evaluating the effect of these factors on fatigue severity of MS patients.Methods: In this cross-sectional study, 162 patients with mean age of 34.1 ± 9.4 (16-58 years) were recruited by consecutive sampling. All the patients, after completing demographic information were evaluated using Persian versions of Fatigue Severity Scale (FSS), depression, anxiety and stress scale (DASS-21), and short form Health Survey Questionnaire (SF-36).Results: Correlation analysis showed a significant relationship between fatigue severity and depression, anxiety, stress, physical component summary (PCS) and mental component summary (MCS) (P < 0.01). Findings of path analysis demonstrated that PCS is the only variable which has a direct effect on fatigue severity (β = -0.278, P < 0.05). Moreover, the strongest standard coefficient (β) belonged to cause and effect relationship between MCS and depression (β = -0.691, P < 0.0001).Conclusion:Present study made the role of psychopathological symptoms and physical and mental dysfunctions prominent in exacerbation of fatigue severity. Moreover, we can refer to more sensible effect of physical dysfunction related to life on fatigue.
