Phenotypes in antiphospholipid syndrome: A hierarchical cluster analysis based on two independent databases.
Background
Antiphospholipid syndrome (APS) is a rare autoimmune disease characterized by thromboses at various sites and obstetric events associated with the persistent presence of antiphospholipid antibodies. The identification of clinical phenotypes in APS patients is a clinical need. In this study, we aimed to determine the clinical phenotypes of APS patients through an unsupervised analysis of two well-characterized cohorts of APS patients.
Patients and methods
APS phenotypes were defined by an ascending hierarchical cluster analysis to identify preferential associations between 18 types of organ involvement and clinical characteristics. This analysis was performed on an initial multi-center cohort of 1000 patients, with validation in a replication cohort of 435 patients.
Results
The hierarchical analysis identified three APS phenotypes in both the initial and replication cohorts: an obstetric phenotype (n = 259 and n = 74 patients, respectively), a venous thrombosis phenotype, accounting for the largest number of patients (n = 461 and n = 297 patients, respectively), and a skin-central nervous system-heart phenotype (n = 280 and n = 64 patients, respectively). The clinical characteristics of the patients differed significantly between the three phenotypes, but there was no difference in antiphospholipid antibody profile between the groups.
Conclusions
We identified three phenotypes of APS defined based on preferential associations of organ involvements and differences in presentation. These observations may help clinicians to detect organ involvement and to manage treatment.
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Overview publication
Title | Phenotypes in antiphospholipid syndrome: A hierarchical cluster analysis based on two independent databases. |
Date | 2024-04-01 |
Issue name | Journal of autoimmunity |
Issue number | v144:103173 |
DOI | 10.1016/j.jaut.2024.103173 |
PubMed | 38330544 |
Authors | |
Keywords | Antiphospholipid, Phenotypes, Stroke, Thrombosis |
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