The association between retinal vascular geometry changes and diabetic retinopathy and their role in prediction of progression – an exploratory study

Table 6 Results of binary logistic regression analysis

Binary logistic regression analysis
	Overall			Arteriolar			Venular
Retinal parameter	Coeff	OR (95% CI)	p value	Coeff	OR (95% CI)	p value	Coeff	OR (95% CI)	p value
d ₀	−0.025	0.97 (0.84 - 1.14)	0.742	−0.145	0.86 (0.64 - 1.18)	0.352	−0.021	0.98 (0.81 - 1.18)	0.831
d ₁	−0.007	0.99 (0.84 - 1.17)	0.93	−0.178	0.84 (0.61 - 1.16)	0.279	0.031	1.03 (0.84 - 1.27)	0.768
d ₂	−0.318	0.73 (0.58 - 0.92)	0.007	−0.358	0.70 (0.49 - 1.00)	0.05	−0.301	0.74 (0.55 - 1.00)	0.05
θ ₁	−0.001	1.00 (0.98 - 1.02)	0.844	−0.007	0.99 (0.97 - 1.02)	0.574	0.002	1.00 (0.98 - 1.03)	0.858
θ ₂	0.011	1.01 (1.00 - 1.02)	0.154	0.014	1.01 (1.00 - 1.03)	0.125	0.005	1.01 (0.98 - 1.03)	0.632
χ	−0.118	0.83 (0.68 - 1.01)	0.069	−0.181	0.83 (0.66 - 1.06)	0.131	−0.099	0.90 (0.54 - 1.53)	0.709

Results of binary logistic regression analysis for the overall data, arteriolar and venular subgroups. The coefficient, odds ratios, 95% confidence intervals, and p values are shown. (Significant results in Bold).

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