Predictors of Parkinson’s disease Dementia in a Sample of Bangladeshi Patients

Background: Parkinson’s disease dementia (PDD) is a common consequence during the course of disease. It deeply influences patients’ prognosis, quality life, caregiver burden and economic strain. However, effective treatment for PDD currently unclear. Clinical demographic predictors this comorbidity are not well studied. Objectives: To investigate putative risk factors development in patients with (PD) attending tertiary care teaching hospital Bangladesh. Methods: One hundred thirty-one consecutive PD cases were enrolled cross-sectional study; whose duration was more than year. Comparison done between demented non-demented cases. Structural CNS diseases including secondary parkinsonism excluded by clinically MRI brain all Dementia evaluated based DSM-IV assessed using mini-mental state examination (MMSE) score short screen (PDD-SS) score. Severity Hoehn Yahr stage (H-Y I to V). Depression DSM-IV. Data analysed on logistic regression model SPSS v 23. Results: The overall frequency 38%. mean (SD) age 73.32(8.86) 63.98 (6.19) years respectively. On multivariate model, ³70 [OR=4.25, p=0.031], diabetes [OR=5.37, p=0.019], hypertension [OR=7.63, p=0.011], ³5 [OR=10.01, p<0.001], H-Y e” 3 [OR= 9.52, p<0.001] depression [OR=8.79, significantly associated PDD. Conclusion: In study cases, risks advancing age, diabetes, hypertension, longer duration, higher presence depressive illness. Bangladesh Med Res Counc Bull 2021; 47(2): 192-198