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. 2019 May-Jun;37(3):422-428.
Epub 2018 Nov 7.

Body mass index and persistence of conventional DMARDs and TNF inhibitors in rheumatoid arthritis

Affiliations

Body mass index and persistence of conventional DMARDs and TNF inhibitors in rheumatoid arthritis

Caroline B McCulley et al. Clin Exp Rheumatol. 2019 May-Jun.

Abstract

Objectives: Obese patients with rheumatoid arthritis (RA) may be more likely to discontinue therapy than non-obese patients, possibly signifying a more refractory phenotype. The purpose of this study was to examine the association between body mass index (BMI) and discontinuation rates for different RA treatments accounting for confounding factors.

Methods: Veterans Affairs administrative databases were used to define initial courses of methotrexate (MTX), hydroxychloroquine, sulfasalazine, prednisone, and self-injectable tumour necrosis factor inhibitors (TNFi). Discontinuation was defined as a lapse in drug refill >90 days. Using overweight BMI (25-30 kg/m2) as the referent group, multivariable Cox proportional hazards models were used to evaluate associations between BMI category and time to treatment discontinuation.

Results: There were 46,970 initial RA treatment courses identified from 2005-2014 among 23,669 Veterans with RA. In multivariable models, severe obesity (BMI >35 kg/m2), compared to overweight BMI, was not associated with treatment discontinuation with the exception of prednisone [HR 1.10 (1.04, 1.17) p<0.001]. Patients with low (<20 kg/m2) and normal BMI (20-25 kg/m2) were more likely to discontinue MTX, TNFi, and HCQ compared to overweight patients. Other factors associated with earlier MTX and/or TNFi discontinuation included female sex, black race, greater comorbidity, depression, malignancy, congestive heart failure, current smoking, and more recent calendar year.

Conclusions: Obesity was not associated with therapy discontinuation among veterans with RA after accounting for confounding factors, suggesting that obesity is not a biological mediator of more refractory disease. Conversely, low BMI, comorbidity, and depression were identified as important predictors of drug discontinuation.

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Conflict of interest statement

The other co-authors have declared no competing interests.

Figures

Fig. 1.
Fig. 1.
All models adjusted for calendar date, age, sex, black race, concurrent medication use, RDCI, CRP, ever CCP positive, disease duration >5 years, diabetes, HTN, CHF, cancer, anxiety, depression, current smoking. For TNFi: also adjusted for first biologic use and therapy. *p<0.05.

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