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Identifying high-risk profile in primary antiphospholipid syndrome through cluster analysis: French multicentric cohort study

INTRODUCTION: Antiphospholipid syndrome (APS) is an autoimmune disease characterised by thrombosis (arterial, venous or small vessel) or obstetrical events and persistent antiphospholipid antibodies (aPL), according to the Sydney classification criteria. Many studies have performed cluster analyses...

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Autores principales: Guedon, Alexis F, Ricard, Laure, Laurent, Charlotte, De Moreuil, Claire, Urbanski, Geoffrey, Deriaz, Sophie, Gerotziafas, Grigorios, Elalamy, Ismail, Audemard, Alexandra, Chasset, Francois, Alamowitch, Sonia, Sellam, Jérémie, Boffa, Jean Jacques, Cohen, Ariel, Wahl, Clémentine, Abisror, Noemie, Maillot, François, Fain, Olivier, Mekinian, Arsène
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008476/
https://www.ncbi.nlm.nih.gov/pubmed/36894193
http://dx.doi.org/10.1136/rmdopen-2022-002881
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author Guedon, Alexis F
Ricard, Laure
Laurent, Charlotte
De Moreuil, Claire
Urbanski, Geoffrey
Deriaz, Sophie
Gerotziafas, Grigorios
Elalamy, Ismail
Audemard, Alexandra
Chasset, Francois
Alamowitch, Sonia
Sellam, Jérémie
Boffa, Jean Jacques
Cohen, Ariel
Wahl, Clémentine
Abisror, Noemie
Maillot, François
Fain, Olivier
Mekinian, Arsène
author_facet Guedon, Alexis F
Ricard, Laure
Laurent, Charlotte
De Moreuil, Claire
Urbanski, Geoffrey
Deriaz, Sophie
Gerotziafas, Grigorios
Elalamy, Ismail
Audemard, Alexandra
Chasset, Francois
Alamowitch, Sonia
Sellam, Jérémie
Boffa, Jean Jacques
Cohen, Ariel
Wahl, Clémentine
Abisror, Noemie
Maillot, François
Fain, Olivier
Mekinian, Arsène
author_sort Guedon, Alexis F
collection PubMed
description INTRODUCTION: Antiphospholipid syndrome (APS) is an autoimmune disease characterised by thrombosis (arterial, venous or small vessel) or obstetrical events and persistent antiphospholipid antibodies (aPL), according to the Sydney classification criteria. Many studies have performed cluster analyses among patients with primary APS and associated autoimmune disease, but none has focused solely on primary APS. We aimed to perform a cluster analysis among patients with primary APS and asymptomatic aPL carriers without any autoimmune disease, to assess prognostic value. METHODS: In this multicentre French cohort study, we included all patients with persistent APS antibodies (Sydney criteria) measured between January 2012 and January 2019. We excluded all patients with systemic lupus erythematosus or other systemic autoimmune diseases. We performed hierarchical cluster analysis on the factor analysis of mixed data coordinates results with baseline patient characteristics to generate clusters. RESULTS: We identified four clusters: cluster 1, comprising ‘asymptomatic aPL carriers’, with low risk of events during follow-up; cluster 2, the ‘male thrombotic phenotype’, with older patients and more venous thromboembolic events; cluster 3, the ‘female obstetrical phenotype’, with obstetrical and thrombotic events; and cluster 4, ‘high-risk APS’, which included younger patients with more frequent triple positivity, antinuclear antibodies, non-criteria manifestations and arterial events. Regarding survival analyses, asymptomatic aPL carriers relapsed less frequently than the others, but no other differences in terms of relapse rates or deaths were found between clusters. CONCLUSIONS: We identified four clusters among patients with primary APS, one of which was ‘high-risk APS’. Clustering-based treatment strategies should be explored in future prospective studies.
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spelling pubmed-100084762023-03-13 Identifying high-risk profile in primary antiphospholipid syndrome through cluster analysis: French multicentric cohort study Guedon, Alexis F Ricard, Laure Laurent, Charlotte De Moreuil, Claire Urbanski, Geoffrey Deriaz, Sophie Gerotziafas, Grigorios Elalamy, Ismail Audemard, Alexandra Chasset, Francois Alamowitch, Sonia Sellam, Jérémie Boffa, Jean Jacques Cohen, Ariel Wahl, Clémentine Abisror, Noemie Maillot, François Fain, Olivier Mekinian, Arsène RMD Open Autoimmunity INTRODUCTION: Antiphospholipid syndrome (APS) is an autoimmune disease characterised by thrombosis (arterial, venous or small vessel) or obstetrical events and persistent antiphospholipid antibodies (aPL), according to the Sydney classification criteria. Many studies have performed cluster analyses among patients with primary APS and associated autoimmune disease, but none has focused solely on primary APS. We aimed to perform a cluster analysis among patients with primary APS and asymptomatic aPL carriers without any autoimmune disease, to assess prognostic value. METHODS: In this multicentre French cohort study, we included all patients with persistent APS antibodies (Sydney criteria) measured between January 2012 and January 2019. We excluded all patients with systemic lupus erythematosus or other systemic autoimmune diseases. We performed hierarchical cluster analysis on the factor analysis of mixed data coordinates results with baseline patient characteristics to generate clusters. RESULTS: We identified four clusters: cluster 1, comprising ‘asymptomatic aPL carriers’, with low risk of events during follow-up; cluster 2, the ‘male thrombotic phenotype’, with older patients and more venous thromboembolic events; cluster 3, the ‘female obstetrical phenotype’, with obstetrical and thrombotic events; and cluster 4, ‘high-risk APS’, which included younger patients with more frequent triple positivity, antinuclear antibodies, non-criteria manifestations and arterial events. Regarding survival analyses, asymptomatic aPL carriers relapsed less frequently than the others, but no other differences in terms of relapse rates or deaths were found between clusters. CONCLUSIONS: We identified four clusters among patients with primary APS, one of which was ‘high-risk APS’. Clustering-based treatment strategies should be explored in future prospective studies. BMJ Publishing Group 2023-03-09 /pmc/articles/PMC10008476/ /pubmed/36894193 http://dx.doi.org/10.1136/rmdopen-2022-002881 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Autoimmunity
Guedon, Alexis F
Ricard, Laure
Laurent, Charlotte
De Moreuil, Claire
Urbanski, Geoffrey
Deriaz, Sophie
Gerotziafas, Grigorios
Elalamy, Ismail
Audemard, Alexandra
Chasset, Francois
Alamowitch, Sonia
Sellam, Jérémie
Boffa, Jean Jacques
Cohen, Ariel
Wahl, Clémentine
Abisror, Noemie
Maillot, François
Fain, Olivier
Mekinian, Arsène
Identifying high-risk profile in primary antiphospholipid syndrome through cluster analysis: French multicentric cohort study
title Identifying high-risk profile in primary antiphospholipid syndrome through cluster analysis: French multicentric cohort study
title_full Identifying high-risk profile in primary antiphospholipid syndrome through cluster analysis: French multicentric cohort study
title_fullStr Identifying high-risk profile in primary antiphospholipid syndrome through cluster analysis: French multicentric cohort study
title_full_unstemmed Identifying high-risk profile in primary antiphospholipid syndrome through cluster analysis: French multicentric cohort study
title_short Identifying high-risk profile in primary antiphospholipid syndrome through cluster analysis: French multicentric cohort study
title_sort identifying high-risk profile in primary antiphospholipid syndrome through cluster analysis: french multicentric cohort study
topic Autoimmunity
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008476/
https://www.ncbi.nlm.nih.gov/pubmed/36894193
http://dx.doi.org/10.1136/rmdopen-2022-002881
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