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Articles by D. Savadi-Oskouei
Total Records ( 3 ) for D. Savadi-Oskouei
  D. Savadi-oskouei , P. Molavi , L. Mohammadzadeh and H. Sadeghi-bazargani
  The aim of present study was to compare general health status and its domains like mood domain between stroke patients and other causes of hospitalization. In a hospital based case-control study a total of 150 stroke cases along with 150 controls were enrolled. Study participants were selected from those patients hospitalized in Alavi, Bouali and Fatemi university hospitals located in Ardabil, north-west of Iran. Participants were interviewed and a questionnaire containing demographic information, known stroke risk factors and GHQ 28 questions was filled out for them. Data were analyzed by SPSS version 13 statistical package. Demographic characteristics in case and control groups were not statistically different. Mean total GHQ score was 13.02±4.8 (Mean±SD). It was 13.85 in case group and 12.36 in control group. However those having a high GHQ score hadn’t different distribution between two groups. It maybe concluded that although stroke affects general health status and increases chance of depression but this may not be more than the effect of some other diseases or hospitalization itself.
  D. Savadi-Oskouei , H. Sadeghi-bazargani and L. Mohammadzadeh
  Present study was aimed to check if stressful life events can play a role in developing stroke and to estimate its magnitude. In a hospital based case-control study in 2003-2004, a total of 150 stroke cases along with 150 controls were enrolled. Study participants were selected from those patients hospitalized in Alavi, Bouali and Fatemi university hospitals located in Ardabil, North-west of Iran. Participants were interviewed and a questionnaire containing demographic information, known stroke risk factors and validated questions of stressful life events (Holmes Rahe scale) was filled out for them. Data were analyzed by SPSS version 13 statistical package. Logistic regression was the main method of data analysis. Demographic characteristics in case and control groups were not statistically different. Patients had a higher score of stressful life events than controls. Mean score of family problems was 11.2 for stroke patients compared to 8.2 among control group patients. The difference was statistically significant. Fifty one percent of patients in case group had life changes compared to 27.8% in control group. Odds of disease for those having stress through life changes was 2.7 (95% CI: 1.5-4.8). There was a graded association between degree of psychological stress and risk of stroke. The findings of this case control study showed that experiencing stressful life events can be a risk factor of stroke.
  D. Savadi-Oskouei , H. Sadeghi-Bazargani , M. Hashemilar and T. DeAngelis
  Symptomatological prediction of Intracerebral haemorrhage (ICH) mortality is a simple and effective method compared to pathological predictors. In this study we considered consciousness level as an easily measurable predictor and compared it to haemorrhage location, intraventricular penetration and haemorrhage size derived from Computerized Tomography (CT) to predict mortality using a parametric survival analysis model. Two hundred and thirty eight ICH patients from a neurology hospital ward were enrolled into this comparative study. Patient history was documented with respect to mortality and a questionnaire outlining background variables and medical history was completed for them. Consciousness level was clinically evaluated by a physician while haemorrhage size and location were determined via computerized tomographic scanning reports. Data were entered into the computer and analyzed according to the Weibull parametric survival analysis model using STATA 8 statistical software. Males constituted 47.1% of the 238 patients, 52.9% were females. The age range of the patients varied from 13 to 88 years, with a mean age of 62.4±13.6 (Mean±SD). Half of the patients survived more than 20 days. Using the Weibull regression model, the only significant independent symptomatological predictor of mortality was found to be the level of consciousness. Cumulative hazard during the 90 days was compared for different levels of consciousness. Application of Weibull to pathological predictors of ICH mortality showed that the two independent predictors were haemorrhage size and intraventricular penetration. Results of statistical modelling didn’t provide evidence of priority for pathological predictors of survival compared to easily measurable levels of consciousness as a symptomatological predictor. Easily measurable symptoms of level of consciousness can be used as a survival predictor of stroke due to intra-cerebral haemorrhage when compared to pathological indicators.
 
 
 
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