Table 3.

Multiple logistic regression.

Parameter	DF	Estimate	Standard Error	Wald Chi-Square	P-value	Odds ratio	95% Wald
Dependent variable: Final CRT ≥ 300 μm (event) vs. Final CRT < 300 μm
Intercept	1	−10.0342	2.8891	12.0624	0.0005
Age	1	0.0897	0.0355	6.3803	0.0115	1.094	1.020–1.173
ERM (+)	1	0.6431	0.2882	4.9807	0.0256	3.619	1.170–11.20
EZD (+)	1	−1.0323	0.3638	8.0525	0.0045	0.127	0.030–0.528
Initial CRT	1	0.00873	0.00272	10.2745	0.0013	1.009	1.003–1.014
Dependent variable: Final VA not improved (event, ΔLogMAR ≥ 0) vs. Final VA improved
Intercept	1	−2.1631	0.5133	17.7602	<.0001
ERM (+)	1	−0.9148	0.3991	5.2546	0.0219	0.160	0.034–0.767
EZD (+)	1	−1.0054	0.3960	6.4451	0.0111	0.134	0.028–0.632
Dependent variable: Injections > 6 shots (event) vs. Injection times ≤ 6 shots
Intercept	1	−1.9051	0.9950	3.666	0.056
Initial CRT	1	0.0065	0.0025	6.507	0.011	1.006	1.002–1.012

Other Variables included before model selection were as following: gender, age, HbA1C, initial LogMAR, initial CRT, DR staging and initial OCT data. CRT, Central Retinal Thickness; DR, Diabetic Retinopathy; EZD, Ellipsoid Zone Disruption; ERM, Epiretinal Membrane.