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Abstract Number: 1904

Rheumatoid Factor Isotype Testing to Identify Individuals in the Preclinical Period of Rheumatoid Arthritis

M. Kristen Demoruelle1, Anthony Kahr1, Mark C. Parish1, Marie L. Feser1, Ryan W. Gan2, Jason R. Kolfenbach1, William R. Gilliland3, Jess D. Edison3, Michael H. Weisman4, James R. O'Dell5, Ted R. Mikuls6, Richard M. Keating7, Peter K. Gregersen8, Jane H. Buckner9, Jill M. Norris2, V. Michael Holers10 and Kevin D. Deane1, 1Division of Rheumatology, University of Colorado School of Medicine, Aurora, CO, 2Epidemiology, Colorado School of Public Health, Aurora, CO, 3Walter Reed National Military Medical Center, Bethesda, MD, 4Rheumatology, Cedars-Sinai Medical Center, Los Angeles, CA, 5Veteran Affairs Nebraska Western Iowa Health Care System and University of Nebraska Medical Center, Omaha, NE, 6Omaha VA Medical Center and University of Nebraska Medical Center, Omaha, NE, 7Division of Rheumatology, Scripps Clinic, La Jolla, CA, 8Genomics and Human Genetics, Feinstein Institute for Medical Research, Manhasset, NY, 9Benaroya Research Institute at Virginia Mason, Seattle, WA, 10Rheumatology Division, University of Colorado School of Medicine, Aurora, CO

Meeting: 2014 ACR/ARHP Annual Meeting

Keywords: Rheumatoid Factor and rheumatoid arthritis (RA)

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Session Information

Title: Rheumatoid Arthritis - Clinical Aspects IV: Promising Biomarkers

Session Type: Abstract Submissions (ACR)

Background/Purpose: Rheumatoid arthritis (RA)-related autoantibody (Ab) testing for Abs to cyclic citrullinated peptide (CCP) and rheumatoid factor (RF) are used in the clinical diagnosis of RA. In addition, RA-related Ab elevations in asymptomatic individuals indicate an increased risk of future RA and define a preclinical period of RA development. These at-risk subjects could be considered for prevention strategies in RA, but a challenge in effective identification of individuals at-risk for RA is the varied methods of Ab testing. For example, RF can be tested by nephelometry (RFneph) as is commonly used in clinical labs or by ELISA for RF isotypes (IgM/A/G). Studies demonstrate RFIgM and/or RFIgA is highly sensitive in classifiable RA, but the utility of RF isotype testing in addition to RFneph is not well known in preclinical RA.

Methods: We evaluated subjects with classifiable RA (1987 ACR criteria) from the Studies of the Etiology of RA (SERA) project (N=566) and the Department of Defense Serum Repository (DoDSR; N=83; all with pre-diagnosis and 47/83 with post-diagnosis samples). Controls were 200 random blood donors for SERA RA cases and 83 DoDSR matched controls for DoDSR RA cases. All subjects were tested for RFneph and RF isotypes (IgM/A/G by ELISA). Cut-off levels for all RF assays were determined as <5% positive in a separate set of 491 blood donors. CCP3.1 (IgG/IgA INOVA) testing was performed in all subjects using manufacturers cut-off levels.

Results: The diagnostic accuracy of Ab testing is listed in Table 1. All RFs and CCP3.1 had high specificity for classifiable RA including SERA RA and DoDSR post-diagnosis. In DoDSR pre-diagnosis testing, sensitivity for future RA was 41% for RFneph and 63% for CCP3.1. Sensitivity increased to 69% when positivity for the following Abs was considered: RFneph, CCP3.1, RFIgA or RFIgM. In DoDSR RA cases who were negative for RFneph and CCP3.1 in pre-diagnosis testing (N=29), adding RFIgA or RFIgM (but not IgG) testing identified an additional 10% of subjects who developed classifiable RA (Table 2).

Conclusion: Herein RFneph and CCP3.1 had fair diagnostic accuracy for future RA; however, RFIgA and IgM (but not IgG) testing allowed for identification of 10% more individuals who would develop future RA, while maintaining high specificity (93% for RFIgA or IgM pre-diagnosis). These findings suggest that RFneph misses some RF positivity that is detectable by isotype testing. As such, in addition to CCP3.1 and RFneph, RFIgM and RFIgA testing may be clinically meaningful in identifying subjects at-risk for future RA, especially if interventions become available to prevent progression from preclinical to classifiable RA.

 

Table. Sensitivity and Specificity of Rheumatoid Factor Isotypes in Classifiable and Preclinical RA

 

RFIgA

RFIgM

RFIgG

≥1 RF isotype

RFIgA or RFIgM

RFneph

CCP3.1

RFneph or CCP3.1

RFIgA, RFIgM, RFneph or CCP3.1

SERA RA cases (N=566)†*

Sensitivity

41.3

59.0

44.3

64.8

62.6

61.5

67.8

77.6

80.6

Specificity

98.0

94.5

94.5

91.0

94.0

95.0

94.0

89.0

85.5

DoDSR RA cases, post-diagnosis (N=47)‡

Sensitivity

61.7

68.1

31.9

80.9

80.9

66.0

75.6

85.1

87.2

Specificity

91.7

93.6

100

87.2

87.2

95.7

89.4

85.1

78.7

DoDSR RA cases, pre-diagnosis (N=83)µ*

Sensitivity

44.6

43.4

24.1

53.0

53.0

41.0

62.7

65.1

68.7

Specificity

94.0

98.8

98.8

92.8

92.8

97.6

92.8

90.3

87.5

†Sensitivity and specificity analyzed in comparison with 200 random blood donor controls

‡ 47 post-diagnosis samples were available for 83 DoDSR RA cases. Median time post-diagnosis = 2.2 years. Cases were compared to 47 matched controls

µ243 pre-diagnosis samples were available for 83 DoDSR RA cases. Calculated using 1 sample per case, and if ≥1 sample available, the sample closest to the time of diagnosis was used for analysis; median 1.4 years prior to RA diagnosis.  Cases were compared to matched controls.

*SERA RA cases were older than DoDSR RA cases (median age 58 v. 40 years) and had a higher proportion of women subjects (77% v. 41%).

 

Table 2. RF Isotype Positivity in DoDSR RA Cases Negative for RF by Nephelometry and CCP3.1 in Pre-diagnosis Testing*

 

Prevalence of positivity (%)

 

RFneph(-)

(N=49)

CCP3.1(-)

(N=31)

CCP3.1(-) and RFneph(-) (N=29)

RFIgM

14.3

12.9

6.9

RFIgA 

14.3

6.5

3.4

RFIgG† 

2.0†

3.2†

0†

≥1 RF isotypes

24.5

16.1

10.3

RFIgA or RFIgM‡

24.5

16.1

10.3

*From the 83 DoDSR RA cases, these results include testing of cases who were negative for RFneph and/or CCP3.1 in their pre-diagnosis sample that was closest to the time of their diagnosis; median 1.4 years prior to RA diagnosis

†RFIgG testing did not identify any subjects pre-diagnosis of RA that were not identified as seropositive by CCP3.1 or RFneph testing.

‡RFIgA or RFIgM positivity was present in only 6 of 83 (7.2%) of DoDSR matched controls, and this high specificity (93.8%) adds further value to the identification of 4 of 29 (10.3%) preclinical RA subjects who will go on to develop classifiable RA

 


Disclosure:

M. K. Demoruelle,
None;

A. Kahr,
None;

M. C. Parish,
None;

M. L. Feser,
None;

R. W. Gan,
None;

J. R. Kolfenbach,
None;

W. R. Gilliland,
None;

J. D. Edison,
None;

M. H. Weisman,
None;

J. R. O’Dell,
None;

T. R. Mikuls,
None;

R. M. Keating,
None;

P. K. Gregersen,
None;

J. H. Buckner,
None;

J. M. Norris,
None;

V. M. Holers,
None;

K. D. Deane,
None.

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