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Table 2 Uni- and multivariate logistic regression models with DSBCS within 3 months as dependent variable

From: Ten-year trends of delayed sequential bilateral cataract surgery (DSBCS) in Sweden: a register-based study

Variables

Unadjusted OR

95% CI

P value

Adjusted OR

95% CI

P value

Second eye CDVA ≤ 0.1 logMAR (0.8 decimal or better)

0.24

0.224–0.257

 < 0.001

0.33

0.315–0.351

 < 0.001

Age (years)

1.03

1.029–1.031

 < 0.001

1.005

1.004–1.006

 < 0.001

Sex, Male

0.86

0.844–0.876

 < 0.001

0.96

0.948–0.98

 < 0.001

Year of surgery

1.24

1.237–1.243

 < 0.001

1.20

1.193–1.198

 < 0.001

Posterior capsule rupture, first eye

0.39

0.317–0.459

 < 0.001

0.42

0.337–0.501

 < 0.001

Ocular comorbidity, second eye

0.61

0.595–0.626

 < 0.001

0.63

0.612–0.644

 < 0.001

Perioperative measures, first eye

0.58

0.551–0.604

 < 0.001

0.66

0.634–0.691

 < 0.001

Private clinic

2.50

2.482–2.518

 < 0.001

3.40

3.379–3.412

 < 0.001

  1. Unadjusted OR was calculated for each variable with univariate logistic regression. The adjusted OR was calculated for each variable with multiple logistic regression with the other variables as confounders. DSBCS = delayed sequential bilateral cataract surgery; OR = odds ratio; 95% CI = 95% confidence interval