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Exploring the unifying concept of Spondyloarthritis: a latent class analysis of the REGISPONSER registry.
Michelena, Xabier; Sepriano, Alexandre; Zhao, Sizheng Steven; López-Medina, Clementina; Collantes-Estévez, Eduardo; Font-Ugalde, Pilar; Juanola, Xavier; Marzo-Ortega, Helena.
Afiliación
  • Michelena X; Rheumatology Unit, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, ().
  • Sepriano A; NIHR Leeds BRC, Leeds Teaching Hospitals NHS Trust and Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds (UK).
  • Zhao SS; NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal, ().
  • López-Medina C; Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Science, The University of Manchester, Manchester (UK).
  • Collantes-Estévez E; Reina Sofia University Hospital and Maimonides Institute for Research in Biomedicine of Cordoba (IMIBIC), University of Córdoba, Córdoba, Spain, ().
  • Font-Ugalde P; Reina Sofia University Hospital and Maimonides Institute for Research in Biomedicine of Cordoba (IMIBIC), University of Córdoba, Córdoba, Spain, ().
  • Juanola X; Reina Sofia University Hospital and Maimonides Institute for Research in Biomedicine of Cordoba (IMIBIC), University of Córdoba, Córdoba, Spain, ().
  • Marzo-Ortega H; Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain ().
Article en En | MEDLINE | ID: mdl-38237920
ABSTRACT

OBJECTIVES:

The aim of our study is to identify the potential distinct phenotypes within a broad Spondyloarthritis (SpA) population.

METHODS:

We conducted a cross-sectional study using the REGISPONSER registry with data from 31 specialist centres in Spain including patients with SpA who fulfilled the European Spondyloarthropathy Study Group (ESSG) criteria. A latent class analysis (LCA) was performed to identify the latent classes underlying SpA according to a set of predefined clinical and radiographic features, independently of expert opinion.

RESULTS:

In a population of 2319 SpA patients, a 5 classes LCA model yielded the best fit. Classes named 'axial with spine involvement' and 'axial with isolated SIJ involvement" show a primarily axial SpA phenotype defined by inflammatory back pain and high HLA-B27 prevalence. Patients in class 'axial + peripheral' show similar distribution of manifest variables to previous classes but also have a higher likelihood of peripheral involvement (peripheral arthritis/dactylitis) and enthesitis, therefore representing a mixed (axial and peripheral) subtype. Classes 'Peripheral + psoriasis' and 'Axial + peripheral + psoriasis' are indicative of peripheral SpA (and/or PsA) with high likelihood of psoriasis, peripheral involvement, dactylitis, nail disease, and low HLA-B27 prevalence, while class 'Axial + peripheral + psoriasis' also exhibits increased probability of axial involvement both clinically and radiologically.

CONCLUSION:

The identification of 5 latent classes in the REGISPONSER registry with significant overlap between axial and peripheral phenotypes is concordant with a unifying concept of SpA. Psoriasis and related features (nail disease and dactylitis) influence the phenotype of both axial and peripheral manifestations.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Rheumatology (Oxford) Asunto de la revista: REUMATOLOGIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Rheumatology (Oxford) Asunto de la revista: REUMATOLOGIA Año: 2024 Tipo del documento: Article