The Measurement of Bone Mineral Density in Parkinson's Disease

BACKGROUND: Osteoporosis, one of the most common metabolic bone disease, might be influenced by the severity of Parkinson's disease (PD). Objectives : We investigated the relationship between the Bone Mineral Density (BMD) and the severity of PD in postmenopausal and senile women. METHODS: We measured BMD of lumbar spine (L1-L4) by Dual energy X-ray absorptiometry (DEXA; Hologic QDR-4500A). We compared BMD between patient group (30 patients with PD) and control (183 postmenopausal and senile health women). The patients were divided into two groups according to osteoporosis and analyzed the following potential factors influencing BMD in PD; age, duration of symptom, age of onset, Hoehn and Yahr stage (H-Y stage), UPDRS motor score, duration of treatment, body mass index (BMI), dominant symptom such as tremor or rigidity. RESULTS: 1. BMD was significantly decreased with aging (p 0.05). CONCLUSION: Osteoporosis is related to H-Y stage, UPDRS motor score and BMI as well as aging in PD.

The Longterm Prognostic Factors After Acute Cerebral Infartion

BACKGROUND & OBJECTIVES: There are few reports of affecting factors of the longterm prognosis after acute ischemic stroke. The aim of this prospective study was to determine which variables, of those easily measurable during the first 24 hours after stroke onset, would be predictors of longterm outcome. METHOD: Ninety-eight patients with an acute ischemic stroke were evaluated within 24 hours after symptom onset. The following potential affecting factors of outcome were prospectively collected : demographic datas, socioeconomic factors, risk factors of cerebrovascular accidents, clinical f indings as measured by the National Institute of Health (NIH) scale, laboratory findings and premorbid varibles rated according to modified Rankin score (mRS). We evaluated the outcome, assessed with mRS as good (mRS 3 or less) and poor (mRS 4, 5 or death) and follow up was undertaken at 6, 12, 18 and 24 months after onset. The statistical analysis was performed by means of SPSS/PC+package to determine the longterm prognostic factors. RESULTS: The multiple stepwise regression analysis revealed that the outcome depend on NIH scale(p<0.001), age (p<0.01), previous stroke(p<0.01), loss of consciousness (LOC) at onset (p