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Abstract Number: 984

Identification of Key Screening Characteristics for Systemic Lupus Erythematosus Natural History

Kendra A. Young1, Melissa E. Munroe2, Joel M. Guthridge3, Diane L. Kamen4, Gary S. Gilkeson5, Michael Weisman6, David Karp7, John B. Harley8, Daniel J. Wallace6, Judith A. James9 and Jill M. Norris10, 1Epidemiology, University of Colorado Denver, Aurora, CO, 2Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, 3Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, OKC, OK, 4Medicine/Rheumatology & Immunology, Medical University of South Carolina, Charleston, SC, 5Department of Medicine, Medical University of South Carolina, Charleston, SC, 6Cedars-Sinai Medical Center Division of Rheumatology, Los Angeles, CA, 7Rheumatology, UT Southwestern Med Ctr, Dallas, TX, 8Center for Autoimmune Genomics and Etiology (CAGE), Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 9Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 10Department of Epidemiology, Colorado School of Public Health, Aurora, CO

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: Family studies and systemic lupus erythematosus (SLE)

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Session Information

Date: Monday, November 6, 2017

Title: Epidemiology and Public Health Poster II: Rheumatic Diseases Other than Rheumatoid Arthritis

Session Type: ACR Poster Session B

Session Time: 9:00AM-11:00AM

Background/Purpose: A prospective study of preclinical SLE disease evolution is needed to help elucidate critical aspects of disease etiology and early pathogenesis, and to identify early directed therapeutic targets. However, designing the most informative study of this complex heterogeneous disease is unclear without better definition of high-risk populations. Our objective was to determine screening characteristics to identify individuals for follow-up in a prospective study.

Methods: We sent letters to 3823 individuals who reported having a family member with SLE and who did not meet ≥ 4 ACR criteria for SLE at their baseline visit to enroll in a follow-up study to gather information regarding interim development of signs and symptoms consistent with SLE; 436 enrolled. Fifty-six individuals had transitioned to SLE (> 4 cumulative ACR criteria, verified by medical record review) by the time of follow-up. Generalized estimating equations, accounting for correlation within families, assessed associations between our dichotomous outcome of transitioning to SLE with baseline characteristics, including age, sex, race, ANA positivity (ANA+), Connective Tissue Disease Screening Questionnaire (CSQ) SLE score, and number of ACR criteria. Predictive accuracy of characteristics on transitioning were analyzed using positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity. Characteristics were separated by the amount of effort required to collect the data: questionnaire alone; questionnaire and a blood test; and a blood draw and medical records for ACR criteria confirmation.

Results: Age (47.2 vs 47.2 years), sex (87.5% vs 83.2%), and race (76.8% vs 73.4% European American (EA)) were similar between those who transitioned and those who did not transition. Sisters of a SLE proband were just as likely to transition as other first-degree relatives (OR=1.5, 95% CI 0.8-2.8), as were those <30 years of versus those ≥ 30 years old (OR=1.3, 95% Ci 0.5-3.2), and non-EAs versus EA (OR=1.3, 95% 0.5-3.5). ANA+, CSQ classification of possible or probable SLE (CSQ-SLE+), and greater number of ACR criteria were each associated with transitioning to SLE. Being ANA+ and having photosensitivity by confirmed ACR criteria had the highest PPV and specificity for transitioning to SLE (Table 1). CSQ-SLE+ had a better PPV, NPV, sensitivity and specificity than ANA+ alone. Combining ANA+ and CSQ-SLE+ increased the PPV and specificity of transitioning to SLE; additionally limiting to females did not increase the predictive accuracy.

Conclusion: Limiting follow-up to females or to a specific race/ethnic group does not appear to be needed. Confirmed ACR criteria provided the best predictive accuracy. Given limited resources, identifying subjects based on the SLE portion of the CSQ questionnaire could be most efficient for follow-up.

Table 1. Predictive Accuracy of Baseline Characteristics for Transitioning to SLE.

Baseline Characteristics

N (%) with Characteristic(s)

Positive Predictive Value

Negative Predictive Value

Sensitivity

Specificity

Using Questionnaire Data alone

CSQ-SLE+*

183 (42.0%)

27.9%

98.0%

91.1%

65.3%

Female

365 (83.7%)

13.4%

90.1%

87.5%

16.8%

CSQ-SLE+* and Female

166 (38.1%)

27.7%

96.3%

82.1%

68.4%

Using Questionnaire Data and Blood Draw for Measurement of ANA

ANA+

226 (51.8%)

19.0%

93.8%

76.8%

51.8%

ANA+ and CSQ-SLE+*

122 (28.0%)

32.8%

94.9%

71.4%

78.4%

ANA+ and Female

200 (45.9%)

19.5%

92.8%

69.6%

57.6%

ANA+, CSQ-SLE+*, and Female

113 (25.9%)

32.7%

94.1%

66.1%

80.0%

ANA+ and Positive Photosensitivity from CSQ

80 (18.4%)

33.8%

91.9%

48.2%

86.1%

ANA+ and Positive Raynaud from CSQ

112 (25.7%)

28.6%

92.6%

57.1%

78.9%

Using Blood Draw for Measurement of ANA and Medical Records to confirm ACR Criteria

ANA+ and Immunologic Disorder by Confirmed ACR Criteria

21 (4.8%)

52.4%

89.2%

19.6%

97.4%

ANA+ and Positive Photosensitivity by Confirmed ACR Criteria

24 (5.5%)

62.5%

90.0%

26.8%

97.6%

ANA+ and Positive Clinical† ACR Criteria

60 (13.8%)

58.3%

94.4%

62.5%

93.4%


Disclosure: K. A. Young, None; M. E. Munroe, None; J. M. Guthridge, None; D. L. Kamen, None; G. S. Gilkeson, None; M. Weisman, None; D. Karp, None; J. B. Harley, None; D. J. Wallace, None; J. A. James, None; J. M. Norris, None.

To cite this abstract in AMA style:

Young KA, Munroe ME, Guthridge JM, Kamen DL, Gilkeson GS, Weisman M, Karp D, Harley JB, Wallace DJ, James JA, Norris JM. Identification of Key Screening Characteristics for Systemic Lupus Erythematosus Natural History [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/identification-of-key-screening-characteristics-for-systemic-lupus-erythematosus-natural-history/. Accessed .
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