Aim of this study was to determine the predictors of caregiver burden among spouse caregivers of patients with Parkinson's disease (PD). Forty consecutive PD patients and their spouse caregivers were included. Patients were assessed using the Unified Parkinson's Disease Rating Scale (UPDRS), the Hoehn and Yahr scale (HY), the Mini-Mental State Examination (MMSE), the Neuropsychiatric Inventory (NPI), and the Geriatric Depression Scale (GDS). Stress and depressive symptoms among caregivers were evaluated using the Caregiver Burden Inventory (CBI) scale and the GDS. Only PD severity (HY) and mental symptoms (NPI) were significantly associated to caregiver distress. A major attention must be given to the early identification of factors generating stress in caregivers in order to improve caregiver quality of life and patient's care.

Background: Frequency and associated risk factors for hemorrhagic transformation (HT), a worrying complication of ischemic stroke (IS), are not clearly defined. Our aim was to estimate the overall frequency and risk factors for HT in a hospital-based population. Methods: A retrospective review of medical records of patients discharged from our department during the period 2004–2006 with a diagnosis of anterior IS. Demographic, clinical and hematological information was collected. Uni- and multivariate logistic regression analyses were used to estimate risk for spontaneous HT. Results: We included 240 patients (125 males, 52%), mean age at admission was 72.5 years. HT was observed in 29 patients (12%). At univariate analysis, consciousness impairment at admission (OR 5.6, 95% CI 1.3–28.2), the presence of early CT signs (OR 2.4, 95% CI 1.1–5.3), infarcts of medium-large size (OR 11.3, 95% CI 4.1–30.8), cardioembolic stroke (OR 2.3, 95% CI 1.1–5.2) and low total cholesterol levels (OR 3.3, 95% CI 1.3–8.2) were significantly associated with HT. At multivariate analysis, only infarct size (OR 10.2, 95% CI 3.2–32.1) was still significantly associated with HT. Conclusions: Frequency of HT in our study was 12%. Consistently with previous results, HT was associated with the size of ischemic area. As patients included in our study did not receive thrombolytic therapy, our results are applicable to those patients whom clinicians, working in a hospital setting, usually deal with.

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Background: Hemorrhagic transformation (HT), a complication of ischemic stroke (IS), might influence patient's prognosis. Our aim is to evaluate, in a hospitalbased series of patients not treated with thrombolysis, the relationship between HT and mortality. Methods: We compared mortality of individuals with spontaneous HT with that of individuals without. Medical records of patients diagnosed with anterior IS were retrospectively reviewed. Outcome measures were 30-and 90-day survival after IS onset. Kaplan-Meier estimates were used to construct survival curves. Cox proportional hazards model was used to estimate hazard ratio (HR) for the main outcome measure (death). HT was stratified in hemorrhagic infarction and parenchymal hematoma (PH). We also evaluated the relationship between HT and the main mortality risk factors (gender, age, premorbid status, severity of stroke, and radiological features). Results: Thirty days from stroke onset, 8.1% (19 of 233) of patients died. At multivariate analysis, PH (HR: 7.7, 95% confidence interval [CI]: 2.1, 27.8) and low level of consciousness at admission (HR: 5.0, 95% CI: 1.3, 18.6) were significantly associated with death. At 3-month follow-up, mortality rate was 12.1% (28 of 232). At multivariate analysis, large infarct size (HR: 2.7, 95% CI: 1.2, 6.0) and HT (HR: 2.3, 95% CI: 1.0, 5.4) were independent risk factors for mortality. Parenchymal hematoma was, however, the strongest predictor of late mortality (HR: 7.9, 95% CI: 2.9, 21.4). Conclusions: Neurological status and infarct size play a significant role, respectively, in early and late mortality after IS. Parenchymal hematoma independently predicts both early and late mortality.

These results did not confirm the previously reported association between PD and BMI. Population characteristics and methodological issues may partially account for the differences observed between the present study and the others.