Table 2.

 RVG measures are associated with urinary albumin excretion

RVG measure	Linear regression: outcome log10 ACR				Logistic regression: outcome high-risk ACR group
	Univariable model		Multivariable modela		Univariate model		Multivariable modelb
	β (95% CI)	p value	β (95% CI)	p value	OR (95% CI)	p value	OR (95% CI)	p value
RVG calibrec
CRAE (μm)	−0.002 (−0.003, −0.001)	0.004	−0.001 (−0.002, 0.0003)	0.1	1.20 (0.89, 1.65)	0.3	1.04 (0.73, 1.49)	0.8
CRVE (μm)	−0.001 (−0.001, 0.0003)	0.2	0.0001 (−0.001, 0.001)	0.8	1.27 (0.92, 1.74)	0.1	0.99 (0.70, 1.41)	0.95
exMWa (μm)	−0.006 (−0.008, −0.003)	<0.001	−0.004 (−0.006, −0.002)	0.001	1.96 (1.42, 2.71)	<0.001	1.67 (1.17, 2.38)	0.005
exMWv (μm)	−0.003 (−0.004, −0.001)	0.01	−0.001 (−0.003, 0.0008)	0.3	1.77 (1.29, 2.44)	<0.001	1.39 (0.98, 1.99)	0.07
RVG tortuosityd
Loge CTa ×106	0.048 (−0.007, 0.103)	0.09	0.079 (0.02, 0.13)	0.005	1.78 (1.30, 2.46)	<0.001	2.05 (1.44, 2.92)	<0.001
Loge CTv ×106	0.067 (0.004, 0.13)	0.03	0.096 (0.03, 0.16)	0.003	2.15 (1.56, 2.98)	<0.001	2.38 (1.67, 3.40)	<0.001
Combined RVG models
exMWaQ1 & CTvQ5 vs otherse	0.12 (0.06, 0.17)	<0.001	0.11 (0.05, 0.17)	<0.001	3.42 (1.96, 5.97)	<0.001	3.32 (1.84, 5.96)	<0.001
exMWaQ1 & exMWvQ1 vs othersf	0.08 (0.03, 0.13)	0.002	0.05 (−0.01, 0.10)	0.09	2.24 (1.43, 3.50)	<0.001	1.77 (1.08, 2.90)	0.02

Each row represents a separate model. Outcome variable for linear regression modelling was log₁₀ ACR. HbA_1c, sex, lipids and SBP SDS were not significant in univariable models. Outcome variable for logistic regression modelling was high-risk ACR group. HbA_1c, sex and lipids were not significant in univariable models

^aMultivariable models are adjusted for BMI SDS and duration

^bMultivariable models are adjusted for BMI SDS, duration and SBP SDS

^cLogistic regression outcome is shown for Q1 vs Q2–Q5

^dLogistic regression outcome is shown for Q5 vs Q1–Q4

^eLogistic regression outcome is shown for exMWaQ1 & CTvQ5 vs the others

^fLogistic regression outcome is shown for exMWaQ1 & exMWvQ1 vs the others