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Abstract Number: 2518

What Is the Level of Agreement Between Disease Activity Indices and Response Criteria Among Rheumatoid Arthritis Patients Treated with TNF Inhibitors?

Edward C. Keystone1, Philip Baer2, J. Antonio Avina-Zubieta3, Anna Jaroszynska4, Jude Rodrigues5, Regan Arendse6, Dalton Sholter7, Michael Starr8, Ariel Masetto9, John S. Sampalis10, Emmanouil Rampakakis10, Francois Nantel11, May Shawi11, Allen J Lehman12 and Susan Otawa12, 1Medicine, University of Toronto, Toronto, ON, Canada, 2Private Practice, Scarborough, ON, Canada, 3Rheumatology, Arthritis Research Centre of Canada, Richmond, BC, Canada, 4Private Practice, Burlington, ON, Canada, 5Clinical Research and Arthritis Centre, Windsor, ON, Canada, 6University of Saskatchewan, Saskatoon, SK, Canada, 7University of Alberta, Edmonton, AB, Canada, 8Rheumatology, McGill University Health Centre, Montreal, QC, Canada, 9Rheumatology, CHUS, Fleurimont, QC, Canada, 10JSS Medical Research, Montreal, QC, Canada, 11Janssen Inc., Toronto, ON, Canada, 12Medical Affairs, Janssen Inc., Toronto, ON, Canada

Meeting: 2014 ACR/ARHP Annual Meeting

Keywords: Disease Activity, Outcome measures, registry and remission

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Session Information

Title: Rheumatoid Arthritis - Small Molecules, Biologics and Gene Therapy: Therapeutic Strategies, Biomarkers and Predictors of Outcomes in Rheumatoid Arthritis

Session Type: Abstract Submissions (ACR)

Background/Purpose: Several standardized response criteria and disease activity indices are used to assess treatment efficacy in rheumatoid arthritis (RA). These measures comprise different types and number of variables resulting in different weighting of individual variables within each of them (1). The aim of this analysis was to compare the performance of ACR, SDAI major and minor, and HAQ response criteria and to determine their level of agreement with the DAS28, SDAI, and CDAI definitions of low disease activity (LDA) and remission in RA patients treated with infliximab (IFX) or golimumab (GLM) in a real-world, Canadian, clinical practice setting.

Methods: BioTRAC is an ongoing, prospective registry of patients initiating treatment for RA, AS, or PsA with IFX or GLM. The analysis was based on RA patients treated with IFX between 2002-2014 or GLM between 2010-2014. Response was assessed with ACR20, ACR50, ACR70, HAQ improvement of 0.22 and 0.5, SDAI major (≥22) and minor improvement (≥10). Disease state was assessed with DAS28, SDAI, and CDAI definitions of LDA (<3.2, ≤11, ≤10, respectively) and remission (<2.6, ≤3.3, ≤2.8, respectively). The level of agreement was assessed with the proportion of concordant pairs over the total number of cases in each cross-tabulation and the Kappa statistic.

Results: A total of 830 RA patients with 4,100 available observations were included. The criteria for each definition of response/disease state were met for the following proportion of cases: ACR20 (66.4%), ACR50 (44.5%), ACR70 (26.4%), ΔHAQ≥0.22 (65.5%), ΔHAQ≥0.5 (53.4%), SDAI major improvement (55.8%), SDAI minor improvement (80.8%), DAS28 remission (29.4%), CDAI remission (20.4%), SDAI remission (21.8%), CDAI LDA (57.5%), SDAI LDA (58.1%), and DAS28-ESR LDA (46.0%).

Table 1 summarizes the level of agreement between different efficacy measures. Statistically significant (Kappa P<0.001) associations were observed for all combinations of variables examined. Overall, the ACR response criteria performed better than the HAQ and SDAI response criteria in their agreement with LDA and remission. In general, higher levels of response in all three measures (ACR20 vs. ACR50 vs. ACR70; ΔHAQ≥0.22 vs. ΔHAQ≥0.5; SDAI minor vs. major) showed better agreement with LDA and remission. The highest level of agreement between response criteria and disease state was observed between the strictest definitions, namely between ACR70 and CDAI / SDAI remission; whereas, SDAI minor improvement showed the lowest level of agreement with remission, irrespective of definition.  

Conclusion: This analysis showed that significant variation exists in the agreement between the various efficacy outcome measures. Thus, the choice of outcome measure used to make treatment decisions could have a significant impact on patient management.

Reference: Anderson J, et al. Arthritis Care and Research 2012(64)5:640-647

Table 1: Percent agreement of response criteria       

Disease Parameter

DAS28 LDA

SDAI LDA

CDAI LDA

DAS 28 Remission

SDAI Remission

CDAI Remission

ACR 20

61.7

72.1

71.4

52.0

72.4

48.4

ACR 50

70.0

76.3

75.1

67.1

68.6

68.9

ACR 70

71.1

69.2

68.8

74.5

82.1

82.6

HAQ 0.22

56.1

63.1

62.0

47.2

44.1

44.3

HAQ 0.5

59.6

64.2

63.0

55.8

55.6

56.2

SDAI Major

54.8

62.3

61.4

49.3

52.5

52.3

SDAI Minor

52.9

64.9

63.9

39.7

37.2

36.6

 


Disclosure:

E. C. Keystone,

Abbott Laboratories,

2,

Amgen Canada,

2,

Astrazeneca Pharmaceuticals LP,

2,

Bristo-Myers Squibb,

2,

F. Hoffman La-Roche Inc.,

2,

Janssen Pharmaceutica Product, L.P.,

2,

Eli Lilly and Company,

2,

Novartis Pharmaceutical Corporation,

2,

Pfizer Inc,

2,

Sanofi-Aventis Pharmaceutical,

2,

Abbott Laboratories,

5,

AstraZeneca,

5,

Biotest,

5,

Bristol-Myers Squibb,

5,

F. Hoffman-La Roche Inc.,

5,

Genentech and Biogen IDEC Inc.,

5,

Janssen Pharmaceutica Product, L.P.,

5,

Eli Lilly and Company,

5,

Merck Pharmaceuticals,

5,

Pfizer Inc,

5,

Abbott Laboratories,

8,

AstraZeneca,

8,

Bristol-Myers Squibb,

8,

F. Hoffman La-Roche Inc.,

8,

Janssen Pharmaceutica Product, L.P.,

8,

Pfizer Inc,

8,

UCB,

8,

Amgen,

8;

P. Baer,

Janssen Inc.,

5;

J. A. Avina-Zubieta,
None;

A. Jaroszynska,

Janssen Inc.,

5;

J. Rodrigues,

Janssen Inc.,

5;

R. Arendse,

Janssen Inc.,

5;

D. Sholter,

Janssen Inc.,

5;

M. Starr,

Janssen Inc.,

5;

A. Masetto,
None;

J. S. Sampalis,
None;

E. Rampakakis,
None;

F. Nantel,

Janssen Inc.,

3;

M. Shawi,

Janssen Inc.,

3;

A. J. Lehman,

Janssen Inc.,

3;

S. Otawa,

Janssen Inc.,

3.

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