Table 5 Factors associated with SAP–FDT difference using logistic regression analysis in parafoveal scotoma.

From: Comparison between frequency-doubling technology perimetry and standard automated perimetry in early glaucoma

 

Univariate

β (95% CI)

P value

Multivariate

β (95% CI)

P value

Sex (female, %)

2.488 (0.661–21.92)

0.093

1.730 (0.908–35.058)

0.063

IOP (mmHg)

0.151 (0.845–1.600)

0.354

  

Average RNFL thickness (μm)

0.127 (0.938–1.375)

0.192

  

Presence of MvD (%)

3.079 (0.815–57.999)

0.066

1.774 (1.085–32.043)

0.040

Presence of disc hemorrhage (%)

 − 3.273 (0.002–0.692)

0.027

 − 1.761 (0.033–0.883)

0.035

Mean deviation, SAP (− dB)

 − 0.778 (0.173–1.219)

0.118

  

Pattern standard deviation, SAP (− dB)

 − 0.036 (0.597–1.558)

0.882

  

Superfical PPVD

0.001 (0.998–1.004)

0.472

  

Deep PPVD

 − 0.116 (0.762–1.041)

0.145

  

LCD

0.017 (1.004–1.031)

0.013

0.012 (1.004–1.020)

0.004

LCCI

0.182 (0.879–1.638)

0.250

  
  1. CI confidence interval, IOP intraocular pressure, RNFL retinal nerve fiber layer, MvD microvascular dropout, SAP standard automated perimetry, PPVD peripapillary vessel density, LCD lamina cribrosa depth, LCCI lamina cribrosa curvature index.
  2. Variables with P < 0.10 were included in the multivariate analysis.
  3. Factors with statistical significance are shown in bold.
Back to article page