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Table 2 Linear regression analyses of clinical variables with FEUA (%) in the pooled group of gout patients

From: A machine learning-assisted model for renal urate underexcretion with genetic and clinical variables among Chinese men with gout

 

Univariate

β (s.e.)

Multivarite

β (s.e.)

Age, per 10 years

0.359 (0.021)**

0.119 (0.039)*

BMI, kg/m2

− 0.032 (0.009)**

0.007 (0.009)

SU, per 60 μmol/L

− 0.471 (0.015)**

− 0.321 (0.023)**

Glu, mmol/L

0.324 (0.031)**

0.267 (0.040)**

TG, mmol/L

− 0.040 (0.017)*

− 0.003 (0.022)

TC, mmol/L

0.004 (0.033)

 

BUN, mmol/L

0.286 (0.022)**

0.203 (0.029)**

sCr, per 10 μmol/L

0.170 (0.020)**

0.320 (0.078)**

Tophi

0.246 (0.080)*

0.145 (0.071) *

Nephrolithiasis

0.153 (0.069)*

0.279 (0.084)*

Hypertension

0.374 (0.095)**

0.222 (0.075)*

Cardiovascular disease

0.547 (0.251)*

− 0.026 (0.218)

History of smoking

0.053 (0.065)

 

History of drinking

0.030 (0.063)

 

Family history

0.016 (0.079)

 
  1. s.e. Standard error, FEUA Fractional excretion of urinary urate, BMI Body mass index, SU Serum urate, Glu Fasting blood glucose, TG Triglyceride, TC Total cholesterol, HDL-C High-density lipoprotein-cholesterol, BUN Blood urea nitrogen, sCr Serum creatinine
  2. *p<0.05; **p<0.001