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Application of clinical and molecular profiling data to improve patient outcomes in psoriatic arthritis

Authors :
FitzGerald, Oliver
Behrens, Frank
Barton, Anne
Bertheussen, Heidi
Boutouyrie-Dumont, Bruno
Coates, Laura
Davies, Owen
de Wit, Maarten
Fagni, Filippo
Goodyear, Carl S.
Gurke, Robert
Hahnefeld, Lisa
Huppertz, Christine
Ioannidis, Vassilios
Ibberson, Mark
Katz, Arnon
Klippstein, Maximilian
Koehm, Michaela
Korish, Shimon
Mackay, Sina
Martin, David A.
O’Sullivan, Denis
Patel, Khadijah
Rueping, Stefan
Schett, Georg
Scholich, Klaus
Schwenk, Jochen M.
Siebert, Stefan
Simon, David
Vivekanantham, Arani
Pennington, Stephen R.
Source :
Therapeutic Advances in Musculoskeletal Disease; May 2023, Vol. 15 Issue: 1
Publication Year :
2023

Abstract

Achieving a good outcome for a person with Psoriatic Arthritis (PsA) is made difficult by late diagnosis, heterogenous clinical disease expression and in many cases, failure to adequately suppress inflammatory disease features. Single-centre studies have certainly contributed to our understanding of disease pathogenesis, but to adequately address the major areas of unmet need, multi-partner, collaborative research programmes are now required. HIPPOCRATES is a 5-year, Innovative Medicines Initiative (IMI) programme which includes 17 European academic centres experienced in PsA research, 5 pharmaceutical industry partners, 3 small-/medium-sized industry partners and 2 patient-representative organizations. In this review, the ambitious programme of work to be undertaken by HIPPOCRATES is outlined and common approaches and challenges are identified. It is expected that, when completed, the results will ultimately allow for changes in the approaches to diagnosing, managing and treating PsA allowing for better short-term and long-term outcomes.

Details

Language :
English
ISSN :
1759720X and 17597218
Volume :
15
Issue :
1
Database :
Supplemental Index
Journal :
Therapeutic Advances in Musculoskeletal Disease
Publication Type :
Periodical
Accession number :
ejs63866538
Full Text :
https://doi.org/10.1177/1759720X231192315