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Dataset Information

Disparities in multimorbidity and comorbidities in rheumatoid arthritis by sex across the lifespan.


ABSTRACT:

Objectives

Multimorbidity is burdensome for people with RA. We investigated differences in multimorbidity and comorbidities by sex and age in the RA population.

Methods

This cross-sectional analysis used national administrative claims (OptumLabs® Data Warehouse) from people with RA and non-RA comparators (matched on age, sex, race, census region, index year and length of baseline insurance coverage) from 2010-2019. RA was determined using a validated algorithm. Multimorbidity was defined as ≥2 (MM2+) or ≥5 (MM5+) comorbidities from a validated set of 44 chronic conditions. We used logistic regression to assess associations between characteristics and multimorbidity.

Results

The sample included 154 391 RA patients and 154 391 non-RA comparators. For people aged 18-50 y

SUBMITTER: Stevens MA 

PROVIDER: S-EPMC11147539 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature