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. 2023 May 5;60(8):1063–1074. doi: 10.1007/s00592-023-02086-z

Table 8.

Logistic regression analysis to identify retinal damage factors associated with time to diabetes

Factors Univariate analyses Multivariate analyses
B OR (95% CI) p B OR (95% CI) p
Age 0.003 1.003(0.936–1.076) 0.927
Vascular density (%)
  SVC 0.274 1.315(1.107–1.563) 0.002
  DVC 0.194 1.214(1.062–1.388) 0.005 0.296 1.344(1.088–1.661) 0.006
Mean thickness of pRNFL
  TI 0.085 1.089(1.029–1.152) 0.003
  N 0.135 1.144(1.061–1.234) 0.000 0.197 1.217 (1.074–1.380) 0.002
  NI 0.112 1.119(1.046–1.196) 0.001
Retinal thickness in macular area
  NFL-Superior 0.334 1.396(1.023–1.905) 0.035
  NFL-Nasal 0.686 1.987(1.258–3.138) 0.003
  NFL-Inferior 0.217 1.242(0.993–1.553) 0.057
  NFL-Center 0.713 2.039(1.273–3.265) 0.003
  GCL-Inferior 0.187 1.206(1.030–1.412) 0.020
  GCL-Center 0.450 1.568(1.126–2.184) 0.008
  IPL-Superior 0.216 1.241(0.976–1.577) 0.078
  IPL-Center -0.324 0.723(0.533–0.982) 0.038
  INL-Temporal  − 0.220 0.802(0.631–1.020) 0.072
  INL-Inferior  − 0.306 0.737(0.566–0.959) 0.023

Bold p values indicate a correlation between the two groups, p < 0.05

95% CI, 95% Confidence interval, SVC superficial vascular complex, DVC deep vascular complex, NFL nerve fiber layer, GCL ganglion cell layers, IPL inner plexiform layer, INL inner nuclear layer, TS Superotemporal, T Temporal, TI Inferotemporal