Data-driven identification of co-morbidities associated with rheumatoid arthritis in a large US health plan claims database.

ABSTRACT:

Background

In drug development, it is important to have an understanding of the full spectrum of co-morbidities to be expected in the group of patients with the disease of interest. It is usually a challenge to identify the less common events associated with the target disease, even if these events are severe. The purpose of this study is to identify co-morbidities associated with rheumatoid arthritis (RA) as compared with a control group, using a large health care database.

Methods

Marketscan US claims database was used for this retrospective cohort study. Selected were records of persons aged at least 16 Y with at least two claims for RA, and with active insurance status on June 30, 2007. The control group had at least two claims for eczema/dermatitis. Controls were matche

SUBMITTER: Petri H 

PROVIDER: S-EPMC2987972 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature