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Objectives: Osteoarthritis (OA) patient stratification is an important challenge in designing individualized treatments and driving drug developme.
Objectives: Osteoarthritis (OA) patient stratification is an important challenge in designing individualized treatments and driving drug developme.
Methods: Data quality assessments were performed to design appropriate data preprocessing techniqu.
Results: Three major endotypes were found, associated with three phenotypes: C1) low tissue turnover (low repair and articular cartilage / subchondral bone turnover), C2) structural damage (high bone formation / resorption, cartilage degeneration) and C3) Systemic inflammation (joint tissue degeneration, inflammation, cartilage degeneratio.
Conclusions: This work supports the existence of differential phenotypes in O.
Source: Angelini F, Widera P, Mobasheri A , et a.
Source: Angelini F, Widera P, Mobasheri A , et a.
Osteoarthritis endotype discovery via clustering of biochemical marker da.
Annals of the Rheumatic Diseases2022; 81: 666-67 , et al Annals of the Rheumatic Diseases81:leave a comment