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. Author manuscript; available in PMC: 2012 Aug 1.
Published in final edited form as: Ophthalmology. 2011 Apr 13;118(8):1571–1579. doi: 10.1016/j.ophtha.2011.01.016

Table 4.

Relation of Choroidal Thickness to Diastolic Ocular Perfusion Pressure, Diastolic Blood Pressure, and IOP in Multivariable Regression Models

Model 1
Coeff
(p value)
Model 2
Coeff
(p value)
Model 3
Coeff
(p value)
Model 4
Coeff
(p value)
Macular Choroidal Thickness Models
    Diastolic Perfusion Pressure 2.9 (0.003)
    Diastolic Blood Pressure 2.3 (0.018) 2.86 (0.005)
    IOP −1.61 (0.323) −3.07 (0.068)
Model Fit
    AIC 787.9 741.56 737.7 739.68
    R2 0.53 0.54 0.57 0.57

Peripapillary Choroidal Thickness Models
    Diastolic Perfusion Pressure 2.52 (0.005)
    Diastolic Blood Pressure 2.07 (0.021) 2.52 (0.007)
    IOP −1.24 (0.411) −2.55 (0.1)
Model Fit
    AIC 777.24 730.02 726.86 728.86
    R2 0.38 0.43 0.46 0.46

All models included age, sex, race, axial length, central corneal thickness and glaucoma diagnosis (glaucoma vs suspect). Coefficients reported in the table represent change in choroidal thickness per additional 1 mmHg in the predictor. (i.e., Diastolic perfusion pressure)

AIC (Akaike information criteria; lower values, indicate better model fit.)

IOP (Intraocular pressure), AIC (Akaike Information criteria), Coeff = beta coefficient value for each variable from regression models, R2 = regression coefficient for each model.

Units for IOP, Diastolic Blood Pressure and Diastolic Perfusion Pressure are mmHg.