Table 4.

Association between UEGL and HUA (n = 635)

Logistic regression models	UEGL category				P for trend a
	Q1	Q2	Q3	Q4
Range (g/24 h)	0.01–0.59	0.61–4.03	4.07–12.43	12.51–57.08	–
No. of subjects	159	159	158	159	–
No. of hyperuricaemia	37	22	23	16	–
Multivariable model b	1.00 (reference)	0.45 (0.22, 0.90)c, d	0.47 (0.23, 0.96)e	0.28 (0.12, 0.63) f	< 0.001

UEGL urinary excretion rate of glucose, Q1 quartile 1 (P0, P25), Q2 quartile 2 (P25, P50), Q3 quartile 3 (P50, P75), Q4 quartile 4 (P75, P100)

^aObtained by using logistic regression analysis. Test for trend based on variable including the median value for each quartile

^bAdjusted for sex, age, body mass index, diabetes mellitus duration, smoking, hypertension, haemoglobin A1c, total cholesterol, triglyceride, high-density lipoprotein cholesterol, and estimated glomerular filtration rate

^cData are presented as odds ratio (OR) (95% confidence interval)

^dSignificantly different from UEGL of Q1, P = 0.03 (Bonferroni-corrected)

^eSignificantly different from UEGL of Q1, P = 0.04 (Bonferroni-corrected)

^fSignificantly different from UEGL of Q1, P = 0.003 (Bonferroni-corrected)