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Abstract Number: 8

Clinical Evaluation Of Two Anti-Beta2glycoprotein I Domain 1 Autoantibody Assays To Aid In The Diagnosis and Risk Assessment Of The Antiphospholipid Syndrome

Rohan Willis1, Michael Mahler2, Francesca Pregnolato3, Charis Pericleous4, Anisur Rahman5, John Ioannou6, Ian Giles5, Gabriella Lakos2, Roger Albesa2, Navid Zohoury2, Pier-Luigi Meroni7 and Silvia S. Pierangeli8, 1Int Medicine/Rheumatology, University of Texas Medical Branch, Galveston, TX, 2Research, INOVA Diagnostics, San Diego, CA, 3Lab of Immunology, IRCCS Istituto Auxologico Italiano, Milan, Italy, 4Centre for Rheumatology, Division of Medicine, Centre for Rheumatology, University College London, London, United Kingdom, 5Centre for Rheumatology Research,Rayne Institute, 4th Floor, University College London, London, United Kingdom, 6Rayne Institute, University College London, London, UK, London, United Kingdom, 7Int Medicine, University of Milan, Milano, Italy, 8Rheumatology/Dept Int Med, University of Texas Medical Branch, Galveston, TX

Meeting: 2013 ACR/ARHP Annual Meeting

Keywords: Antiphospholipid antibodies, antiphospholipid syndrome, biomarkers and thrombosis

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Session Information

Title: Antiphospholipid Syndrome: Clinical Manifestations and New Biomarkers in Antiphospholipid Syndrome

Session Type: Abstract Submissions (ACR)

Background/Purpose:

Antiphospholipid Syndrome (APS) is characterized by the presence of antibodies to phospholipids (aPL) and to β2glycoprotein I (β2GPI) in patients with thrombosis or pregnancy morbidity. Several studies provided evidence that antibodies to domain 1 of β2GPI (β2GPI-D1) represent a promising biomarker for the diagnosis and risk assessment of APS. Several immunoassays have been described to detect those antibodies, but harmonization of those tests as well as correlation of those assays has not been properly addressed. Here we aimed to compare two assays for the detection of anti-β2GPI-D1 antibodies using clinically defined patients samples.

Methods:

A total of 72 APS patients and 45 controls (including healthy individuals, patients with infectious or autoimmune diseases) were tested for anti-β2-GPI antibodies by ELISA (in-house, London, UK and INOVA Diagnostics, San Diego, US) and for anti-β2GPI-D1 by QUANTA Flash CIA (INOVA) and by ELISA (in-house, London, UK). History of thrombosis was known for 94 patients (39 with and 55 without history of thrombosis).

Results:

Both anti-β2GPI-D1 assays showed good qualitative (79.5%, 95% CI 71.0-86.4; kappa=0.60, 95% CI 0.46-0.74) and quantitative agreements (spearman`s rho=0.76, 95% CI 0.67-0.83) as well as similar discrimination between APS patients and controls as shown by ROC analysis.

Comparison between assays

Qualitative (Total Agreement %/kappa)

Quantitative (Spearman)

B2 ELISA (INOVA)

D1 ELISA (UK)

D1 CIA

B2 ELISA (UK )

88.9 (0.77)

0.82 (0.75-0.87)

86.3 (0.73)

0.83 (0.76-0.88)

89.7 (0.79)

0.84 (0.78-0.89)

B2 ELISA (INOVA)

/

82.1 (0.65)

0.68 (0.57-0.77)

85.5 (0.71)

0.76 (0.67-0.83)

D1 ELISA (UK)

/

/

79.5 (0.60)

0.76 (0.67-0.83)

 

Comparison between APS patients and controls

Assay

Area under the curve (95% Confidence interval)

LR+/LR- at  cut-off

LR+/LR- at LR+ max

Sensitivity (95% Confidence interval)

Specificity (95% Confidence interval)

D1 CIA

0.89 (0.83-0.96)

9.69/0.15

13.8/0.71

86.1 (75.9-93.1)

91.1 (78.8-97.5)

D1 ELISA

0.83 (0.75-0.90)

4.02/0.44

11.25/0.77

62.5 (50.3-73.6)

84.4 (70.5-93.5)

B2 ELISA (UK)

0.90 (0.84-0.96)

6.25/0.19

9.69/0.60

83.3 (72.7-91.1)

86.7 (73.2-94.9)

B2 ELISA (INOVA)

0.93 (0.88-0.97)

7.5/0.19

24.4/0.47

83.3 (72.7-91.1)

88.9 (75.9-96.3)

 

Discrimination between patients with and without history of thrombosis

 

D1 CIA

D1 ELISA

B2 ELISA (UK)

B2 ELISA (INOVA)

Sensitivity

89.7

64.1

87.2

79.5

Specificity

76.4

74.5

72.7

80.0

Likelihood ratio (+)

3.80

2.52

3.20

3.97

Likelihood ratio (-)

0.13

0.48

0.18

0.26

Conclusion:

Anti-β2GPI-D1 antibodies are a promising biomarker to aid in the diagnosis and risk assessment of APS patients. Confirmatory studies using multi-centric setups and large patient cohorts are necessary to confirm the data.

 

 

 

 


Disclosure:

R. Willis,
None;

M. Mahler,

Inova Diagnostics, Inc.,

3;

F. Pregnolato,
None;

C. Pericleous,
None;

A. Rahman,
None;

J. Ioannou,
None;

I. Giles,
None;

G. Lakos,

Inova Diagnostics, Inc.,

3;

R. Albesa,

Inova Diagnostics, Inc.,

3;

N. Zohoury,

Inova Diagnostics, Inc.,

3;

P. L. Meroni,

Inova Diagnostics, Inc.,

5;

S. S. Pierangeli,
None.

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