Comprehensive Descriptive Analysis of Large Alzheimer\u27s Disease Patient Cohorts

Abstract

Background Precise estimates of the prevalence of Alzheimer\u27s disease (AD), the distribution of demographic characteristics, comorbidities, treatment plans, insurance types, cost of treatment and survival probabilities at various time points are crucially important to advancing our understanding and for improving future AD research studies. Objective We analyzed two of the largest and high-quality medical databases, Oracle EHR Real-World Data and IQVIA. The results provide the most complete description of the AD patients in the US. Methods We present high-accuracy summary statistics of many important variables related to AD patients. Proportions, means and 95% confidence intervals were provided for all levels of the categorical and quantitative variables. Results We report high accuracy estimates of the overall survival probabilities for the first five years after initial diagnosis, drug treatments and patterns of use, demographics, insurance types, hospitalization duration, number of hospital visits, and a detailed list of comorbidities. We also report estimates of the annual total average cost of treatment per patient as well as itemized allocations for drugs, hospitalizations, surgery, and management costs. Conclusions We present the most complete, detailed and high-accuracy descriptive analysis of AD patients to date