Table 4.
Linear Regression Models to Predict Mean Deviation Associated with Blood Flow, Rim Area, and Retinal Nerve Fiber Layer Thickness in Glaucoma Patients
Model |
Variable 1 |
Variable 2 |
Total R2 |
||||
Parameter (dB)* |
Slope (Pvalue) |
R2 |
Parameter (dB)* |
Slope (Pvalue) |
R2 |
||
1 | Blood flow | 1.91 (<0.001) | 0.29 | ||||
2 | cSLO rim area | 1.11 (0.03) | 0.10 | ||||
3 | FDOCT RNFL thickness | 3.29 (0.01) | 0.13 | ||||
4 | Blood flow | 1.93 (<0.001) | 0.26 | cSLO rim area | 1.15 (0.006) | 0.10 | 0.36 |
5 | Blood flow | 1.62 (0.001) | 0.24 | FDOCT RNFL thickness | 2.56 (0.03) | 0.09 | 0.33 |
FDOCT, Fourier-domain optical coherence tomography; RNFL, retinal nerve fiber layer; cSLO, confocal scanning laser ophthalmoscopy.
Parameters converted to dB scale (see Table 3).