Determination of four homogeneous subgroups of patients with antiphospholipid syndrome: a cluster analysis based on 509 cases

Author:

Nguyen Yann12ORCID,Yelnik Cécile M3,Morel Nathalie1,Paule Romain4ORCID,Stammler Romain1,Plaçais Léo1,Sacré Karim5ORCID,Godeau Bertrand6,Maillard Hélène3,Launay David3,Morell-Dubois Sandrine3,Dupré Anastasia1ORCID,Lefèvre Guillaume3,Devloo Cécile3,Dufrost Virginie7ORCID,Benhamou Ygal8,Levesque Hervé8,Leroux Gaëlle910,Piette Jean-Charles910,Mouthon Luc1,Hachulla Éric3,Lambert Marc3,Le Guern Véronique1,Costedoat-Chalumeau Nathalie12

Affiliation:

1. National Referral Centre for Rare Autoimmune and Systemic Diseases, Department of Internal Medicine, Hôpital Cochin, AP-HP Centre, Université de Paris , Paris, France

2. Centre de Recherche en Epidémiologie et Statistiques (CRESS), Unité Inserm 1153, Université de Paris , Paris, France

3. Department of Internal Medicine and Clinical Immunology, Referral Centre for Centre for Rare Systemic Autoimmune Diseases North and North-West of France (CeRAINO), CHU Lille, Univ. Lille, Inserm, U1286 - INFINITE—Institute for Translational Research in Inflammation , Lille, France

4. Department of Internal Medicine, Hôpital Foch , Suresnes, France

5. Department of Internal Medicine, Hôpital Bichat, AP-HP Nord, Université de Paris , Paris, France

6. Department of Internal Medicine, Hôpital Mondor, AP-HP, Université de Paris-Est Créteil , Créteil, France

7. Vascular Medicine Division and Regional Competence Center for Rare Vascular and Systemic Autoimmune Diseases, CHRU de Nancy, University of Lorraine, Inserm U1116 , Nancy, France

8. Department of Internal Medicine, CHU de Rouen, UniRouen, Inserm, U1096 , Rouen, France

9. D , Paris, France

10. epartment of Internal Medicine, Hôpital Pitié-Salpêtrière , Paris, France

Abstract

Abstract Objective APS is a heterogeneous disease with different phenotypes. Using an unsupervised hierarchical cluster analysis, we aimed to determine distinct homogeneous phenotypes among APS patients. Methods We performed an observational, retrospective study of APS patients enrolled in the French multicentre ‘APS and SLE’ registry who met the Sydney classification criteria. The clustering process involved an unsupervised multiple correspondence analysis followed by a hierarchical ascendant clustering analysis; it used 27 variables selected to cover a broad range of APS clinical and laboratory manifestations. Results These analyses included 509 patients, mainly women (77.8%). Mean (s.d.) age at APS diagnosis was 36.2 (14.6) years, and mean follow-up since diagnosis 10.3 (8.5) years. This hierarchical classification cluster analysis yielded four homogeneous groups of patients: cluster 1, mostly with venous thromboembolism without any associated autoimmune disease; cluster 2, older, lowest proportion of women, history of arterial events, and/or with migraines, arterial hypertension, diabetes mellitus, or dyslipidaemia; cluster 3, younger, highest proportion of women, associated SLE or other autoimmune diseases, and a history of venous thromboembolism or pregnancy morbidity; and cluster 4, mainly with a history of catastrophic antiphospholipid syndrome, aPL-associated nephropathy, and pregnancy morbidity, with frequent triple positivity and more deaths (16.7%). Conclusions Our study applied an unsupervised clustering method to distinguish four homogeneous APS patient subgroups that were predominantly venous; arterial; associated with SLE or another autoimmune disease; and arterial microthrombotic. Heterogeneous pathophysiological mechanisms may explain these findings.

Publisher

Oxford University Press (OUP)

Subject

Pharmacology (medical),Rheumatology

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