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. 2021 Dec 21;11(1):387–401. doi: 10.1007/s40123-021-00447-x

Table 3.

Logistic regression analysis of preoperative factors predicting failure of trabeculectomy at the 1-year follow-up

Variables Univariate analysis Multivariate analysis
OR 95% LB 95% UB P value OR 95% LB 95% UB P value
Age (years) 1.07 1.01 1.15 0.04* 1.07 1.00 1.17 0.08
Gender (male) 0.46 0.12 1.73 0.24
CDR 0.97 0.93 1.03 0.30 0.94 0.87 1.00 0.06
Previous phacoemulsification 3.33 0.93 12.66 0.07
Diabetes 0.22 0.01 1.38 0.17 0.16 0.01 1.61 0.18
Systemic hypertension 0.67 0.19 2.35 0.52 0.25 0.03 1.32 0.13
Dyslipidemia 0.87 0.20 3.28 0.85
Medication exposure 1.68 0.68 4.51 0.28
Medication requirement 1.33 0.60 3.12 0.49
Treatment duration (years) 1.12 0.93 1.36 0.23 0.68 0.39 1.08 0.13
IOP (mmHg) 1.04 0.96 1.13 0.34
GMII 1.01 1.00 1.02 0.08 1.02 1.00 1.05 0.05*

Multivariate model based on lowest Akaike information criterion (AIC) with backward stepwise selection

LB Lower bound, OR odds ratio, UB upper bound