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. 2022 May 28;4(3):100281. doi: 10.1016/j.ocarto.2022.100281

Table A.3.

Regression coefficients and subdistribution hazard ratios for model based on patients with a recorded diagnosis of knee osteoarthritis in their electronic health record (N ​= ​6043)

Predictors Regression coefficient from Fine &">& Gray competing risk model (95% CI) Subdistribution hazard ratio (SHR) (95% CI)
Age (per unit increase), years 0.42 (0.34–0.50) 1.52 (1.40–1.65)
Age2 −0.0032 (−0.0038 to −0.0026) 0.9968 (0.9962–0.9974)
Prescribing of OA medications (yes) 0.32 (0.20–0.45) 1.38 (1.22–1.56)
Count of chronic conditions from CCI (per unit increase) −0.19 (−0.27 to −0.11) 0.82 (0.76–0.89)
Mental health condition (yes) −0.13 (−0.27 to 0.008) 0.88 (0.76–1.01)
Previous TKR (yes) 0.24 (0.07–0.42) 1.27 (1.07–1.52)
Past knee surgery (excluding TKR) (yes) 0.55 (0.37–0.74) 1.74 (1.45–2.09)

AbbreviationsCI ​= ​confidence interval; SHR ​= ​subdistribution hazards ratio from competing risk model; OA ​= ​osteoarthritis; CCI=Charlson Comorbidity Index; TKR ​= ​total knee replacement.

Note: Subdistribution hazard ratio obtained by exponentiating the regression coefficient from the Fine & Gray competing risk model.