ACR Meeting Abstracts

ACR Meeting Abstracts

  • Meeting Abstracts
    • All Meetings
    • ACR Convergence 2026
    • PRSYM 2026
    • ACR Convergence 2025
    • Download Abstract Supplements
  • Keyword Index
  • My Favorites
    • View & print my favorites
  • Search

Home » Meeting Abstracts » ACR/ARP Annual Meeting 2019

Abstract Number: 136

Identifying Phenotypes of Patients with Antiphospholipid Antibodies: Results from a Cluster Analysis in a Large Cohort of Patients

Savino Sciascia1, Massimo Radin 2, Irene Cecchi 2, Maria Laura Bertolaccini 3, Tiziana Bertero 2, Elena Rubini 2, Antonella Vaccarino 2, Mario Bazzan 2, Osvaldo Giachino 2, Simone Baldovino 2, Daniela Rossi 2, Giulio Mengozzi 2 and Dario Roccatello 2, 1Center of Research of Immunopathology and Rare Diseases- Coordinating Center of Piemonte and Valle d’Aosta Network for Rare Diseases, Department of Clinical and Biological Sciences, University of Turin, Torino, Italy, 2University of Turin, Turin, Italy, 3King's College London, London, United Kingdom

Share on X (Twitter) Share on Facebook Share on LinkedIn Share on Email
Print

Meeting: ACR/ARP Annual Meeting 2019

Keywords: Antiphospholipid antibodies, antiphospholipid syndrome, big data and antibodies, Systemic lupus erythematosus (SLE)

Session Information

Date: Sunday, November 10, 2019

Title: Antiphospholipid Syndrome Poster

Session Type: Poster Session (Sunday)

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

Background/Purpose: In this study, we sought to perform an unsupervised hierarchical clustering analysis in a large cohort of antiphospholipid antibodies (aPL) positive patients, to identify the aggregation of patients into different subgroups sharing common characteristics in terms of clinical and laboratory phenotypes.

Methods: We applied a hierarchical cluster analysis from the multiple correspondence analysis to determine subgroups of patients according to clinical and laboratory characteristics in patients with confirmed aPL positivity who presented to our outpatient clinics 2006 to 2018.

Results: We included in this observational, retrospective, and multicentre study 486 patients (403 [83%] women; median age, 41[18-74] years; mean age, 41.7 years±26) with confirmed aPL. Among those 486 subjects, 5 clusters of patients emerged. Cluster 1 (N=150) presented with  thrombotic events (65% with a venous thrombosis) in the absence of a confirmed diagnosis of systemic  lupus  erythematosus(SLE). Up to 85% of patients from Cluster 1 were positive for more than one aPL, triple aPL positivity was found in 35% of the patients, the highest rate observed among the different subgroups(p< 0.01).  All the patients from Cluster 2 (N=91 patients,  84.4% were female) had a confirmed diagnosis of SLE and presented with ANA positivity. These patients had the highest rate of anti-dsDNA positivity(as high as 92%), and up to 64.6% of them presented hypocomplementemia(p< 0.01). Cluster 3 included 79 women who suffered from pregnancy morbidity, with consecutive early miscarriages in up to 45.6% of the cases. Multiple aPL positivity was found in 30%, with triple positivity in 3.8%, rates significantly lower when compared to Cluster 1(85% and 35%v.s.30 and 4% for multiple and triple positivity, respectively,p< 0.01). Cluster 4 included 67 patients (13.8% of the total), 28(42%) of whom with defined diagnosis of APS. Thrombotic events were observed in 16 out of 67(24%) patients. Patients in this group had the highest rate of cytopenia, with thrombocytopenia as high 42%. None of them had anti-dsDNA antibodies positivity. Multiple aPL positivity was found in 72% of the patients, with triple positivity in 4.5%,rate significantly lower when compared to Cluster 1(85% of multiple aPL and 35% of triple aPL positivity) and Cluster 2(83% for multiple aPL and 22% triple aPL positivity, p< 0.01). Cluster 5 included 94 subjects. No subjects in this group had a history of thrombosis or pregnancy morbidity. They were all negative for ANA and anti-dsDNA, with normal leukocytes and platelets count.

Conclusion: This study identified 5 clusters emerging from unsupervised analysis. Clusters 1, 2, 3 and 5 corresponded to well-known entities, such thrombotic Primary APS, Secondary APS, obstetric APS and aPL carriers, respectively. Cluster 4 might represent a bridging condition between patients with pure PAPS and defined SLE, with lower thrombotic risk when compared to Primary APS but higher general features such as ANA and cytopenia (mainly thrombocytopenia), representing a group that might benefit of different therapeutic approaches rather than only counterbalancing the pro-thrombotic status.

Demographic, clinical and laboratory characteristics among the Cluster analysed


Disclosure: S. Sciascia, None; M. Radin, None; I. Cecchi, None; M. Bertolaccini, None; T. Bertero, None; E. Rubini, None; A. Vaccarino, None; M. Bazzan, None; O. Giachino, None; S. Baldovino, None; D. Rossi, None; G. Mengozzi, None; D. Roccatello, None.

To cite this abstract in AMA style:

Sciascia S, Radin M, Cecchi I, Bertolaccini M, Bertero T, Rubini E, Vaccarino A, Bazzan M, Giachino O, Baldovino S, Rossi D, Mengozzi G, Roccatello D. Identifying Phenotypes of Patients with Antiphospholipid Antibodies: Results from a Cluster Analysis in a Large Cohort of Patients [abstract]. Arthritis Rheumatol. 2019; 71 (suppl 10). https://acrabstracts.org/abstract/identifying-phenotypes-of-patients-with-antiphospholipid-antibodies-results-from-a-cluster-analysis-in-a-large-cohort-of-patients/. Accessed .

ACR Meeting Abstracts - https://acrabstracts.org/abstract/identifying-phenotypes-of-patients-with-antiphospholipid-antibodies-results-from-a-cluster-analysis-in-a-large-cohort-of-patients/

My Favorites

Save and print abstracts during your browser session by clicking the “Favorite” button at the bottom of any abstract (must have cookies enabled in browser). See saved favorites.

Abstract Policies

  • ACR Convergence Abstract Embargo Policies
  • ACR Convergence Abstract Permissions & Reprints
  • PRSYM Abstract Policies

ACR Convergence. Where Rheumatology Meets

ACR Convergence 2026

Join us November 6-11 in Orlando, Florida.
See Registration Information

  • Contact ACR
  • Privacy Policy
  • ACR Policies
  • Cookie Preferences

© Copyright 2026 American College of Rheumatology