Production of a risk mitigation matrix and four-grade threshold scale using Cox Regression to predict osteoarthritis development.

ABSTRACT: Prognostic markers have become essential in predicting disease progression, particularly in osteoarthritis (OA), where early detection can improve clinical outcomes. This study applied survival analysis, specifically the Cox proportional hazards model, to evaluate the role of biomarkers (IL-6, TNF-α, and MPO) in OA progression. A risk mitigation matrix was developed to stratify individuals based on Xbeta values obtained through Cox Regression, allowing for an evidence-based approach to risk classification. A four-grade threshold scale was constructed to refine diagnostic precision by categorising risk into four levels. The study found that IL-6 concentrations ≥ 6.95 pg/mL, TNF-α ≥ 40.51 pg/mL, and MPO ≥ 5.45 pg/mL were indicative of early-stage OA, while hazard thresholds marked advanced d

SUBMITTER: Coleman LJ 

PROVIDER: S-EPMC12917557 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature