Skip to main content

Table 2 Regression models for aGFR, 1/SCR and aGFR-eGFR

From: Glycemia affects glomerular filtration rate in people with type 2 diabetes

Variable

Î’

SE

P-value

A

Log aGFR (log ml/min/1.73m2)

 Intercept

5.8502

0.0430

 

 Sex (female vs male)

−0.2151

0.0128

< 0.0001

 Age (yrs)

−0.0100

0.0005

< 0.0001

 Serum creatinine (mg/dl)

−0.8639

0.0334

< 0.0001

 Fasting plasma glucose (10 mg/dl)

0.0061

0.0008

< 0.0001

 HbA1c (%)

0.0061

0.0030

0.0402

B

1/SCR (dl/mg)

 Intercept

1.4931

0.0566

 

 Sex (female vs male)

0.2821

0.0218

< 0.0001

 Age (yrs)

−0.0082

0.0009

< 0.0001

 HbA1c (%)

0.0287

0.0033

< 0.0001

 Fasting plasma glucose (10 mg/dl)

−0.0043

0.0007

< 0.0001

C

aGFR-eGFR (ml/min/1.73m2)

 Intercept

39.7124

5.3606

 

 Sex (female vs male)

−10.5330

1.5884

< 0.0001

 Age (yrs)

−0.5928

0.0708

< 0.0001

 Serum creatinine (mg/dl)

−11.2485

4.1942

0.0074

 Fasting plasma glucose (10 mg/dl)

0.7927

0.0976

< 0.0001

 HbA1c (%)

1.0216

0.3789

0.0071

 Duration of diabetes

0.1916

0.08687

0.0275

  1. Beta is the regression coefficient and SE is its standard error. Regression models were fit using a mixed model procedure to account for multiple examinations within individuals. Results are shown for best fitting model (lowest AIC)