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Abstract Number: 1048

Generalizability Of a U.S. Rheumatoid Arthritis Registry: A Comparison Of Participants’ Vs. Non-Participants’ Characteristics

Jeffrey R. Curtis1, Lang Chen2, Huifeng Yun3, Leslie R. Harrold4, Jeffrey D. Greenberg5 and Joel M. Kremer6, 1University of Alabama at Birmingham, Division of Clinical Immunology and Rheumatology, Birmingham, AL, 2Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, 3Epidemiology, University of Alabama at Birmingham, Birmingham, AL, 4University of Massachusetts Medical School, Worcester, MA, 5Departments of Medicine (Rheum Div) and Hospital for Joint Diseases, New York Hospital for Joint Diseases, New York, NY, 6Center for Rheumatology, Albany Medical College, Albany, NY

Meeting: 2013 ACR/ARHP Annual Meeting

Keywords: Medicare, registries and rheumatoid arthritis (RA)

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Session Information

Title: Epidemiology and Health Services II & III

Session Type: Abstract Submissions (ACR)

Background/Purpose:

Observational registries provide a valuable complement to clinical trials yet might suffer from limited generalizability referent to the desired population of interest. We compared characteristics of older patients enrolled in a large U.S. rheumatoid arthritis (RA) registry compared to RA patients treated by non-participating rheumatologists throughout the U.S.

Methods:

We used national data from the U.S. Medicare program from 2006-2010 and linked it to the Consortium of Rheumatology Researchers of North America (CORRONA) registry. Linkage was accomplished using deterministic methods on multiple non-unique identifiers and achieved > 96% accuracy. RA patients were identified in Medicare on the basis of having at least one ICD-9 diagnosis code for RA (714.X) from a rheumatologist. Demographics, comorbidities, and drug utilization were examined in Medicare data during the most recent consecutive 12 month period with full fee-for-service coverage including pharmacy benefits. Characteristics of CORRONA RA patients were compared to characteristics of RA patients of non-CORRONA rheumatologists. Differences were quantified as standardized mean differences (SMDs), with values < 0.1 considered clinically irrelevant.

Results:

A total of 620,111 RA patients in Medicare treated by 3,834 non-CORRONA rheumatologists were identified and their characteristics compared with 5,643 RA patients treated by 282 CORRONA rheumatologists (Table). Mean age and sex were similar; CORRONA patients were more likely to be recruited in the Northeast and West. The prevalence of common comorbidities was comparable. During the 12m observation period, CORRONA RA patients were more likely to use biologics (22 vs. 12%) and somewhat less likely to use oral glucocorticoids (33 vs. 38%). Health services utilization was similar between CORRONA and non-CORRONA RA patients.

Conclusion:

Despite some differences in regional geographic representation, older RA patients enrolled in CORRONA were generally similar in their characteristics to older RA patients of other rheumatologists not participating in CORRONA, although were more likely to receive biologic therapies. Based upon these findings, results from this U.S. registry may be generalizable to a national U.S. RA population.

Table: Characteristics of Older RA Patients Enrolled in CORRONA vs. RA Patients of Non-CORRONA Rheumatologists

Patient Characteristic

CORRONA Patients

Non-CORRONA Patients

Standardized Mean Differences

Age, years

Female sex, %

Caucasian race

Region, %

   Northeast

   Midwest

   West

   South

Rural Residence, %

Comorbidities, %

   COPD

   Diabetes

   Myocardial infarction

   History of cancer

RA Medications, %

   Oral glucocorticoids

   Methotrexate

   Any biologic

Healthcare utilization

   Number of physician visits, mean+- SD

   Any hospitalization, %

72.3 (9.9)

74.6

89.5

30.2

25.1

12.7

32.1

21.7

13.5

18.0

1.3

10.5

33.3

30.9

22.3

13.9 +- 10.2

26.2

72.7 (11.1)

73.8

85.2

17.4

23.4

15.9

43.3

23.4

14.0

21.9

1.5

10.1

37.9

21.7

12.4

14.2 +- 10.9

28.9

0.03

0.02

0.18

0.038

0.303

0.091

0.233

0.06

0.01

0.08

0.02

0.01

0.11

0.21

0.27

0.02

0.06


Disclosure:

J. R. Curtis,

Roche/Genentech, UCB, Janssen, CORRONA, Amgen, Pfizer, BMS, Crescendo, Abb Vie,

2,

Roche/Genentech, UCB, Janssen, CORRONA, Amgen, Pfizer, BMS, Crescendo, Abb Vie,

5;

L. Chen,
None;

H. Yun,
None;

L. R. Harrold,

Corrona,

5,

Takeda,

2;

J. D. Greenberg,

CORRONA ,

1,

AstraZeneca, CORRONA, Novartis, Pfizer,

5;

J. M. Kremer,

Corrona, Inc,

1,

Corrona Inc.,

3.

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