Osteoarthritis

Metabolic syndrome and the progression of knee osteoarthritis on magnetic resonance imaging (MRI)

Osteoarthritis CartilagePublished Prospective cohort study

Authors' conclusion

Women with higher MetS severity at baseline showed progression of osteophytes, BMLs, and cartilage defects, indicating more structural knee OA progression after 5 years.

Study context

Population
Women from the Rotterdam Study with knee MRI data and 5-year follow-up
Participants
682 women
Exposure
Metabolic syndrome (MetS) severity and its components vs progression of knee osteoarthritis (OA) MRI features
Outcome
Progression of knee OA MRI features (TF and PF, MRI Osteoarthritis Knee Score)
Follow-up
5 years
Methodological detailspopulation-based (Rotterdam Study sub-study), 5-year follow-up, generalized estimating equations
  • Population-based (Rotterdam Study sub-study)
  • 5-year follow-up
  • Generalized estimating equations

Main finding

As reported in the abstract

Association of baseline MetS severity with progression of MRI features
  • MetS severity associated with progression of osteophytes in all compartments
  • MetS severity associated with progression of bone marrow lesions (BMLs) in the patellofemoral (PF) compartment
  • MetS severity associated with progression of cartilage defects in the medial tibiofemoral (TF) compartment

Observational data: associations, not effects.

Further findings

MetS components

Waist circumference associated with progression of osteophytes in all compartments and cartilage defects in the medial TF compartment
High-density lipoprotein (HDL)-cholesterol associated with progression of osteophytes in the medial and lateral TF compartment
Glucose associated with osteophytes in the PF and medial TF compartment

Interaction of MetS with menopausal transition

No interactions found between MetS with menopausal transition and MRI features

Original publication

Metabolic syndrome and the progression of knee osteoarthritis on MRI. Osteoarthritis Cartilage. Published 16 February 2023. doi:10.1016/j.joca.2023.02.003

Composed by AI from the published abstract and checked against it. How Briefs are made →

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