Table 3.

Summary of cox-regression model using the composite predictor (number of positive biomarkers, theoretical range 0–3, N=256)

Variable	Hazard ratio	95% CI
Biomarker composite
None (n=60)	Ref	Ref
One (n=63)	1.54	(0.39 to 6.04)
Two (n=79)	4.29	(1.25 to 14.75)
Three (n=54)	7.46	(2.12 to 26.28)
Sex
Female	Ref	Ref
Male	1.11	(0.64 to 1.92)
BMI	0.94	(0.90 to 1.00)
CACI	1.32	(1.16 to 1.51)
Creatinine clearance	1.00	(0.98 to 1.01)

Note: Creatinine clearance estimation as calculated by Cockroft-Gault formula. Biomarker composite describes the number of biomarkers with a positive result.

BMI, body mass index; CACI, Charlson Age Comorbidity Index; Ref, reference category.