TABLE 3.

Multivariable linear regression models for change in kidney function by various methods of measurement (n = 20). The ReShape CV‐Risk Study

	Dependent variable
	Change in measured GFR		Change in estimated GFRcrea		Change in estimated GFRcys		Change in estimated GFRcreacys
Independent variables in the multivariable model	Standardized regression coefficient	P value	Standardized regression coefficient	P value	Standardized regression coefficient	P value	Standardized regression coefficient	P value
Baseline age, per year	−0.57	.029	0.25	.28	−0.03	.89	0.17	.50
Change in ambulatory systolic BP, per mm Hg	0.26	.30	0.61	.011	0.40	.11	0.50	.051
Baseline GFR (same method), per ml/min/1.73 m2	−0.32	.26	0.09	.73	−0.64	.026	−0.30	.29
Baseline urinary albumin‐creatinine ratio, per mg/mmol	−0.22	.42	−0.21	.40	−0.48	.055	−0.50	.060
Baseline urinary NAG‐creatinine ratio, per U/g	−0.36	.14	−0.21	.37	−0.26	.34	−0.27	.33

Abbreviations: BP, Blood pressure; GFR, Glomerular filtration rate; NAG, N‐acetyl‐β‐D‐glucosaminidase.

Estimated GFR_crea, GFR_cys,and GFR_creacys refer to GFR estimates calculated with the CKD‐EPI equations based on creatinine, cystatin C and creatinine + cystatin C, respectively.