Table 4. Univariate and multivariate logistic regression analysis of factors associated with POAG.
| Factor |
Univariate analysis |
Multivariate analysis |
|||||
|---|---|---|---|---|---|---|---|
| Estimate±SE | P-value | β-coefficient | Estimate±SE | P-value | β-coefficient | ||
| All eyes | |||||||
| Age | 0.02±0.004 | <0.001 | 0.40 | 0.01±0.004 | 0.005 | 0.26 | |
| A1C | −0.09±0.037 | 0.01 | −0.21 | ||||
| DCT-IOP | −0.02±0.006 | 0.002 | −0.24 | −0.03±0.006 | 0.001 | −0.31 | |
| CRF | −0.12±0.015 | <0.001 | −0.53 | ||||
| CCT | −0.004±0.001 | <0.001 | −0.32 | ||||
| CH | −0.13±0.014 | <0.001 | −0.45 | −0.12±0.020 | <0.001 | −0.41 | |
| Thin CCT group | |||||||
| DCT-IOP | −0.16±0.061 | 0.01 | −0.50 | −0.24±0.081 | 0.002 | −0.75 | |
| CRF | −0.81±0.222 | <0.001 | −0.92 | ||||
| CH | −0.48±0.204 | 0.02 | −0.43 | −0.78±0.273 | 0.004 | −0.70 | |
| Intermediate CCT group | |||||||
| Age | 0.12±0.038 | 0.002 | 0.64 | ||||
| DCT-IOP | −0.15±0.068 | 0.02 | −0.42 | −0.21±0.084 | 0.01 | −0.59 | |
| CRF | −0.91±0.261 | <0.001 | −0.84 | ||||
| CH | −0.76±0.275 | 0.005 | −0.63 | −0.87±0.335 | 0.01 | −0.73 | |
| Thick CCT group | |||||||
| Age | 0.09±0.046 | 0.04 | 0.39 | ||||
| CH | −0.76±0.301 | 0.01 | −0.67 | −0.72±0.307 | 0.02 | −0.63 | |
Abbreviations: A1C, average glycosylated hemoglobin; CCT, central corneal thickness; CH, corneal hysteresis; CRF, corneal resistance factor; DCT-IOP, intraocular pressure as measured by Pascal Dynamic Contour Tonometer; POAG, primary open-angle glaucoma.
Models based on probability of POAG diagnosis (eg, decreasing CH is associated with greater likelihood of POAG).