Algorithm development and the clinical and economic burden of Cushing's disease in a large US health plan database.

ABSTRACT:

Purpose

This study aimed to develop an algorithm to identify patients with CD, and quantify the clinical and economic burden that patients with CD face compared to CD-free controls.

Methods

A retrospective cohort study of CD patients was conducted in a large US commercial health plan database between 1/1/2007 and 12/31/2011. A control group with no evidence of CD during the same time was matched 1:3 based on demographics. Comorbidity rates were compared using Poisson and health care costs were compared using robust variance estimation.

Results

A case-finding algorithm identified 877 CD patients, who were matched to 2631 CD-free controls. The age and sex distribution of the selected population matched the known epidemiology of CD. CD patients were found to have comorbi

SUBMITTER: Burton T 

PROVIDER: S-EPMC4799236 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature