Specific-cytokine associations with outcomes in knee osteoarthritis subgroups: breaking down disease heterogeneity with phenotyping.
Despite existing extensive literature, a comprehensive and clinically relevant classification system for osteoarthritis (OA) has yet to be established. In this study, we aimed to further characterize four knee OA (KOA) inflammatory phenotypes (KOIP) recently proposed by our group, by identifying the...
| Autores: | , , , , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Institut d'Investigació i Innovació Parc Taulí (I3PT) |
| Repositorio: | r-I3PT. Repositorio Institucional Producción Científica del Institut d'Investigació i Innovació Parc Taulí |
| OAI Identifier: | oai:i3pt.fundanetsuite.com:p4366 |
| Acceso en línea: | https://i3pt.portalinvestigacion.com/publicaciones/4366 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181959081&doi=10.1186%2fs13075-023-03244-y&partnerID=40&md5=44ee09c7c4055ce2a57ae6063d0fd3cd |
| Access Level: | acceso abierto |
| Palabra clave: | Clinical severity, Cytokines, Inflammation, Knee osteoarthritis, Machine learning, Phenotype, Radiographic progression |
| Sumario: | Despite existing extensive literature, a comprehensive and clinically relevant classification system for osteoarthritis (OA) has yet to be established. In this study, we aimed to further characterize four knee OA (KOA) inflammatory phenotypes (KOIP) recently proposed by our group, by identifying the inflammatory factors associated with KOA severity and progression in a phenotype-specific manner. |
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