. Author manuscript; available in PMC: 2017 May 1.

Published in final edited form as: J Diabetes Complications. 2016 Feb 11;30(4):586–590. doi: 10.1016/j.jdiacomp.2016.02.011

Table 2. Multivariable models predicting incident micro- and macrovascular complications.

	Albuminuria (n=26)	DR (n=62)	PDR (n=31)	CACp (n=185)
Age (per 10 years)	–	–	–	1.99 (1.43-2.75) P<0.0001
Diabetes duration (per 10 years)	–	2.04 (1.43-2.91) P<0.0001	1.85 (1.15-3.00) P=0.01	2.24 (1.62-3.10) P<0.0001
Male sex	–	2.08 (1.13-3.84) P=0.02	2.40 (1.04-5.52) P=0.04	1.73 (1.08-2.77) P=0.02
HbA1c (per 1%)	–	1.41 (1.10-1.79) P=0.006	1.71 (1.28-2.28) P=0.0003	1.25 (1.03-1.52) P=0.03
SBP (per 10 mmHg)	–	–	–	1.20 (1.00-1.44) P=0.049
LDL-C (per 10 mg/dL)	–	0.88 (0.79-0.98) P=0.02	–	–
eIS (per SD [1.58 mg/kg^-1 min^-1])	0.54 (0.35-0.83) P=0.005	0.69 (0.50-0.95) P=0.02	0.65 (0.42-0.99) P=0.049	0.59 (0.46-0.77) P<0.0001

Data is presented as OR and 95% CI. OR represent the increase in odds of developing albuminuria, DR, PDR and CACp for every unit increase in the independent variable. These are stepwise models so only variables which entered the models are presented.