Research Article

The Utility of Perirenal Fat in Determining the Risk of Onset and Progression of Diabetic Kidney Disease

Table 4

Cox regression models for risk factors associated with the endpoint.

ModelVariableHR95% CI

Model 1Sex1.800.91, 3.560.090
Age1.020.93, 1.040.186
PFT2.911.16, 7.300.023

Model 2Sex1.530.72, 3.280.147
Age1.0400.94, 1.110.424
Hypertension2.570.77, 4.200.113
Diabetes course1.130.94, 1.270.201
Insulin therapy0.480.25, 0.930.029
Antihypertensive drugs0.250.08, 0.830.024
Hypolipidemic therapy0.390.11, 1.110.152
PFT2.891.14, 7.500.026

Model 3Sex1.390.66, 2.210.440
Age1.010.99, 1.030.254
Diabetes course1.040.98, 1.050.511
Hypertension2.261.18, 3.380.014
Insulin therapy0.410.21, 0.670.005
Antihypertensive drugs1.440.81, 2.040.866
Hypolipidemic therapy2.110.41, 3.830.890
PFT2.831.34, 4.88<0.001
BMI1.040.97, 1.110.288
PFT/BMI1.201.03, 1.400.017
HbA1C1.201.11, 1.26<0.001
ALB1.030.98, 1.080.259
eGFR0.980.97, 0.99<0.001
UACR1.061.01, 1.120.026

Hypertension: history of hypertension; HbA1C: glycated hemoglobin ratio; FPG: fasting plasma glucose; UACR: urinary creatinine protein ratio; ALB: serum albumin; urea: serum urea nitrogen; SCr: blood creatinine; UA: blood uric acid; Tch: total serum cholesterol; TG: triglycerides; HDL: serum high-density lipoprotein; LDL: serum low-density lipoprotein; eGFR: predicted glomerular filtration rate; PFT: perirenal fat thickness.