Clinically relevant patient clusters identified by machine learning from the clinical development programme of secukinumab in psoriatic arthritis

OBJECTIVES: Identify distinct clusters of psoriatic arthritis (PsA) patients based on their baseline articular, entheseal and cutaneous disease manifestations and explore their clinical and therapeutic value. METHODS: Pooled baseline data in PsA patients (n=1894) treated with secukinumab across four...

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Detalles Bibliográficos
Autores principales: Pournara, Effie, Kormaksson, Matthias, Nash, Peter, Ritchlin, Christopher T, Kirkham, Bruce W, Ligozio, Gregory, Pricop, Luminita, Ogdie, Alexis, Coates, Laura C, Schett, Georg, McInnes, Iain B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Psoriatic Arthritis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603280/
https://www.ncbi.nlm.nih.gov/pubmed/34795065
http://dx.doi.org/10.1136/rmdopen-2021-001845

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603280/
https://www.ncbi.nlm.nih.gov/pubmed/34795065
http://dx.doi.org/10.1136/rmdopen-2021-001845

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