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. 2024 Feb 28;5(4):522–528. doi: 10.34067/KID.0000000000000404

Table 2.

Univariate and multivariate regression models for predicting eGFR mean rate of change per yeara

Regression Models and Variables Estimate SEM P Value Partial Correlation Coefficient
Univariate analysis
 eGFR change from baseline at week 3, ml/min per 1.73 m2 −0.1117 0.0233 <0.0001
 Sex (reference=female) 0.1430 0.4118 0.7285
 Age, yr 0.0027 0.0295 0.9280
 eGFR at baseline, ml/min per 1.73 m2 0.0181 0.0099 0.0675
 SBP at baseline, mm Hg 0.0002 0.0152 0.9874
 BMI at baseline, kg/m2 −0.0133 0.0416 0.7485
 TKV at baseline, ml −0.0003 0.0002 0.1276
 BUN at baseline, mg/dl −0.0436 0.0381 0.2530
 Fasting uOsm at baseline, mOsm/kg 0.0030 0.0012 0.0146
Multivariate analysis
 eGFR change from baseline at week 3, ml/min per 1.73 m2 −0.0976 0.0259 0.0002 −0.1513
 Sex (reference=female) 0.4129 0.4756 0.3857 0.0352
 Age, yr 0.0188 0.0363 0.6058 0.0210
 eGFR at baseline, ml/min per 1.73 m2 −0.0164 0.0154 0.2878 −0.0431
 SBP at baseline, mm Hg −0.0076 0.0172 0.6588 −0.0179
 BMI at baseline, kg/m2 −0.0079 0.0460 0.8639 −0.0070
 TKV at baseline, ml −0.0002 0.0003 0.4169 −0.0330
 BUN at baseline, mg/dl −0.1064 0.0517 0.0399 −0.0833
 Fasting uOsm at baseline, mOsm/kg 0.0035 0.0014 0.0135 0.1000

BMI, body mass index; SBP, systolic BP; TKV, total kidney volume; uOsm, urine osmolality.

a

eGFR mean rate of change calculated for each subject using eGFR values measured from week 3 up to month 36.