Predicting OA Progression

 Relative contribution to the explained variability of the data by the variants included in the model

Novel Biomarkers For Predicting Knee OA Progression

Researchers have found several biomarkers that hold promise as predictors of pain and structural worsening of knee osteoarthritis (OA). “A cure for osteoa

Predicting OA progression: results from the Vancouver knee osteoarthritis progression study

Variables Adjusted Hazard ratio (95% CI)
History of mild injury 14.06 (3.71, 53.32)
History of severe injury 0.47 (0.06, 3.43)
KL grade 1 19.50 (2.57, 148.23)
KL grade 2 47.68 (4.96, 457.91)
KL grade 3 147.46 (12.82, 1696.7)
KL grade 4 4.75 (0.50, 44.76)
Quadriceps weakness 14.32 (3.21, 63.84)
PF grind test 0.11 (0.01, 0.86)
Patellar pain 0.27 (0.08, 0.90)
Lateral TF tenderness 0.15 (0.03, 0.72)
Abnormal gait 4.28 (0.90, 20.23)
Fine crepitus 0.77 (0.21, 2.91)
Coarse crepitus 0.11 (0.01, 0.85)
Symptomatic hand OA 0.24 (0.07, 0.81)
To predict the progression of osteoarthritis (OA) in a population based cohort defined by MRI as the gold standard using clinical and radiographic variables.

Among high risk individuals, whether knee lesions in…

If MRI done early at symptom onset can reliably predict development of OA years down the line, shouldn’t we be doing more knee MRI, and earlier on?

If the early pathologies thus detected can be staunched or even reverted with targeted therapies, shouldn’t we be front-loading such treatments at a time when they can still make a difference to the course of the disease?

Is this the “window of opportunity” in OA?