Study of frequency and responsible factors for post stroke depression in stroke patients coming to Mayo Hospital Lahore

Post stroke depression develops as a complication after stroke and impedes the recovery process. Different factors responsible for the development of depression include severity of paralysis, low functional and socioeconomic status and duration of stroke. Our objective was to find out the frequency and responsible factors for PSD in patients presenting to Mayo Hospital Lahore. In a descriptive design 174 patients were studied in out door clinics of Mayo Hospital Lahore. Depression was diagnosed on the basis of DSM IV and severity of stroke was evaluated on the basis of Barthel Index. Results showed that 37.9% of patients had post stroke depression and majority of patients with PSD came with in first 3 months after stroke. We also found that there is a linear relationship [R2 = 0.844] between severity of stroke and PSD. Hence we concluded that PSD developed in almost one third of patients of stroke, is associated with duration and severity of stroke, developing more commonly with in first 3 months

Correlation of fracture index with BMD T-score in postmenopausal females

To find the correlation between Fracture Index and BMD T-score so that fracture index can be used as a predictive tool for fracture risk estimation in post menopausal females. Design: A cross-sectional study was conducted on a sample of 396 women age 50 years and above. BMD T-score measurements using ultrasound and Fracture Index calculations based on the risk factor assessment were performed. Setting: North Medical Ward, Unit 4 Et Out Patient Clinics, Mayo Hospital and Akram Medical complex, Lahore. Main outcome: Use of Fracture Index as a predictive tool for the estimation of fracture risk in post menopausal females. The study results showed that when Fracture Index increases BMD T-score decreases to osteoporotic range and correlation coefficient is -0.162. When Fracture Index increases, BMD T-score decreases therefore we can use Fracture Index as an assessment tool for predicting fracture risk in postmenopausal females