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Abstract Number: 840

Trajectory of Multimorbidity in Rheumatoid Arthritis in a U.S. Commercial Insurance Claims Database from 2006-2015

Bryant England1, Punyasha Roul 2, Fang Yu 2, Harlan Sayles 2, Kaleb Michaud 2, Fenglong Xie 3, Jeffrey Curtis 4 and Ted Mikuls 5, 1VA Nebraska-Western IA Health Care System & University of Nebraska Medical Center, Omaha, 2University of Nebraska Medical Center, Omaha, NE, 3University of Alabama at Birmingham, Birmingham, 4University of Alabama at Birmingham, Birmingham, AL, 5VA Nebraska-Western IA Health Care System & University of Nebraska Medical Center, Omaha, NE

Meeting: 2019 ACR/ARP Annual Meeting

Keywords: comorbidity and epidemiologic methods, Rheumatoid arthritis (RA)

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Session Information

Date: Sunday, November 10, 2019

Title: 3S078: RA – Diagnosis, Manifestations, & Outcomes I: Pulmonary & Other Comorbidities (839–844)

Session Type: ACR Abstract Session

Session Time: 2:30PM-4:00PM

Background/Purpose: Multimorbidity, the presence of multiple chronic conditions, predisposes individuals to disability and premature mortality. RA is well known to be associated with select chronic conditions, but the timing of onset of multimorbidity and the rate of accruing additional conditions is not well established. We aimed to determine the trajectory of multimorbidity in RA compared to the general population.

Methods: We assembled RA cohorts within Truven MarketScan database from 1/2006-9/2015 using ≥2 ICD-9 codes for RA, a rheumatologist diagnosis, and DMARD use. Incident RA was identified using validated algorithms for claims data that required at least 12 months of observable time with medical and pharmacy coverage (observability) without RA diagnostic codes or DMARDs (Curtis et al. AC&R, 2018). RA subjects were matched 1:1 to non-RA subjects on age, sex, and calendar year. Chronic conditions were identified from observability to the end of follow-up (censoring at disenrollment or end of study period) using ICD-9 codes for 48 chronic conditions identified in systematic reviews of multimorbidity. Conditions occurring on or before the date fulfilling the RA algorithm (or equivalent date for non-RA) were considered prevalent. Multimorbidity was defined as having ≥2 chronic conditions (not including RA) and multimorbidity burden was defined by the number of conditions present. Cross-sectional prevalence and burden of multimorbidity in all RA vs. non-RA was determined using conditional logistic and negative binomial regression. The trajectory of multimorbidity over time in incident RA vs. non-RA was assessed using generalized estimating equations with an interaction term between RA status and year of follow-up.

Results: A total of 139,403 RA subjects (overall cohort) were matched to 139,403 non-RA subjects. This included a subcohort of 30,764 incident RA subjects. Mean (SD) age was 54.1 (13.4) years with 76.5% female. Time from observability to index date was 1.2 (1.8) years in the overall group and 3.2 (1.9) years in the incident subcohort. In the overall cohort, multimorbidity was present in 34.2% of RA subjects vs. 21.3% of non-RA (OR 2.30, 95% CI 2.26-2.35, p< 0.001). Multimorbidity burden was significantly higher in RA vs. non-RA (ratio of conditions 1.67, 95% CI 1.65-1.69, p< 0.001). Of the 48 chronic conditions examined, 42 were overrepresented (Table 1). In the incident subcohort, multimorbidity frequency was higher in RA subjects throughout follow-up (OR 2.75, 95% CI 2.66-2.84). Similarly, multimorbidity burden was higher in incident RA than non-RA at baseline and throughout follow-up (Figure 1; ratio of conditions 1.76, 95% CI 1.73-1.79). The rate of accruing chronic conditions was not higher in incident RA than non-RA (ratio of accruing conditions per year 0.99, 95% CI 0.98-1.00, p=0.06).

Conclusion: In a large, national, commercial claims database, we found the odds of multimorbidity were 2.3-fold higher in RA compared to the general population. Trajectory analyses in those with new onset disease suggest the heightened risk of multimorbidity in RA occurs early in the disease course or may even precede RA onset.


Table 1 RA multimorbidity trajectory_20190529

Table 1. Prevalence of chronic conditions in rheumatoid arthritis v. non-rheumatoid arthritis subjects.


Figure 1 RA multimorbidity trajectory_20190529

Figure 1. Mean chronic conditions over time in incident rheumatoid arthritis vs. non-rheumatoid arthritis


Disclosure: B. England, None; P. Roul, None; F. Yu, None; H. Sayles, None; K. Michaud, FORWARD, The National Databank for Rheumatic Diseases, 3, Pfizer, 2, Pfizer & Rheumatology Research Foundation, 2, Rheumatology Research Foundation, 2, University of Nebraska Medical Center, 3; F. Xie, None; J. Curtis, AbbVie, 2, 5, Abbvie, 2, 5, AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Lilly, Janssen, Myriad, Pfizer, Regeneron, Roche, and UCB, 2, 5, Amgen, 2, 5, Amgen Inc., 2, 5, BMS, 2, 5, Bristol-Myers Squibb, 2, 5, Corrona, 2, 5, Crescendo, 2, 5, Eli Lilly, 2, 5, Eli Lilly and Company, 2, 5, Genentech, 2, 5, Janseen, 5, Janssen, 2, 5, Janssen Research & Development, LLC, 2, Lilly, 2, 5, Myriad, 2, 5, Patient Centered Outcomes Research Insitute (PCORI), 2, Pfizer, 2, 5, Radius Health, Inc., 9, Regeneron, 2, 5, Roche, 2, 3, 5, Roche/Genentech, 5, UCB, 2, 5; T. Mikuls, BMS, 2, Horizon, 2.

To cite this abstract in AMA style:

England B, Roul P, Yu F, Sayles H, Michaud K, Xie F, Curtis J, Mikuls T. Trajectory of Multimorbidity in Rheumatoid Arthritis in a U.S. Commercial Insurance Claims Database from 2006-2015 [abstract]. Arthritis Rheumatol. 2019; 71 (suppl 10). https://acrabstracts.org/abstract/trajectory-of-multimorbidity-in-rheumatoid-arthritis-in-a-u-s-commercial-insurance-claims-database-from-2006-2015/. Accessed .
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