. 2017 Feb 27;7:43538. doi: 10.1038/srep43538

Table 4. Multivariable linear regression models showing the association between standard deviation increments in eGFR (independent variable, in ml/min/1.73 m² body surface area (BSA)) and cathepsin-S (dependent variable, in ng/ml) in all three study cohorts.

Study group	regression coefficient B	95% confidence intervals	p-value
MCKD	−1.008	−1.576–(−0.439)	<0.001
ULSAM	−0.664	−0.952–(−0.375)	<0.001
PIVUS	−1.076	−1.604–(−0.547)	<0.001

Multivariable analysis adjusted for age, gender, body-mass-index and c-reactive protein; the regression coefficient B describes the change of cathepsin-S (in ng/ml) per change of one standard deviation (SD) of eGFR in every cohort (SD in MCKD 37.2 ml/min/1.73 m2 BSA, in ULSAM 17.1 ml/min/1.73 m2 BSA, in PIVUS 19.3 ml/min/1.73 m2 BSA).

Table 4. Multivariable linear regression models showing the association between standard deviation increments in eGFR (independent variable, in ml/min/1.73 m2 body surface area (BSA)) and cathepsin-S (dependent variable, in ng/ml) in all three study cohorts.

Table 4. Multivariable linear regression models showing the association between standard deviation increments in eGFR (independent variable, in ml/min/1.73 m² body surface area (BSA)) and cathepsin-S (dependent variable, in ng/ml) in all three study cohorts.