TABLE 4.
INTERVAL VARIABLES | CASES (N=29) | CONTROLS (N=61) | P<* | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
MEAN | MEDIAN | SD | MIN | MAX | MEAN | MEDIAN | SD | MIN | MAX | ||
CH | 8.2 | 8.1 | 1.6 | 5.6 | 12.6 | 8.3 | 8.3 | 1.5 | 4.4 | 10.9 | .734 |
Tmax | 18.7 | 19.0 | 3.2 | 10.0 | 26.0 | 15.3 | 16.0 | 2.6 | 10.0 | 21.0 | <.0001 |
Max topo K | 52.2 | 50.9 | 5.4 | 45.0 | 66.5 | 53.5 | 52.0 | 6.4 | 44.0 | 78.0 | .443 |
IOPg | 11.3 | 11.1 | 3.3 | 4.0 | 17.3 | 9.8 | 9.4 | 4.1 | 2.4 | 22.1 | .175 |
IOPcc | 14.8 | 15.2 | 2.6 | 8.4 | 19.4 | 13.3 | 13.3 | 3.6 | 4.3 | 23.3 | .047 |
CRF | 7.3 | 6.9 | 2.0 | 4.2 | 12.2 | 6.9 | 7.2 | 2.1 | 2.6 | 12.5 | .639 |
GAT | 13.7 | 13.0 | 3.2 | 8.0 | 20.0 | 11.8 | 12.0 | 3.4 | 6.0 | 20.0 | .102 |
Pach | 493.8 | 507.5 | 86.6 | 188.0 | 596.0 | 488.7 | 491.0 | 54.9 | 216.0 | 592.0 | .848 |
T tono | 13.1 | 13.0 | 3.0 | 6.0 | 19.5 | 12.1 | 12.0 | 3.9 | 4.0 | 20.0 | .332 |
Axial length | 25.4 | 24.8 | 1.7 | 22.9 | 30.2 | 25.3 | 25.0 | 1.5 | 22.0 | 29.8 | .844 |
ACD | 4.4 | 3.8 | 3.6 | 2.8 | 22.9 | 3.7 | 3.6 | 0.4 | 2.9 | 4.5 | .288 |
AL-ACD | 21.8 | 21.8 | 1.5 | 19.7 | 25.9 | 21.6 | 21.2 | 1.4 | 19.6 | 25.7 | .712 |
Papillae | 0.6 | 0.0 | 0.7 | 0.0 | 2.0 | 0.3 | 0.0 | 0.6 | 0.0 | 3.0 | .256 |
Nominal variables | N | % | N | % | P<* | ||||||
Floppy eyelids† | 7 | 35.0 | 11 | 27.5 | .829 | ||||||
Scarring | 14 | 48.3 | 29 | 47.5 | .865 | ||||||
Sleep apnea† | 4 | 21.1 | 3 | 8.1 | .171 |
ACD, anterior chamber depth; AL-ACD, axial length minus anterior chamber depth; CH, corneal hysteresis; CRF, corneal resistance factor; GAT, Goldmann applanation tonometry; IOP, intraocular pressure; IOPcc, cornea compensated IOP; IOPg, IOP correlated with Goldmann applanation tonometry (by ORA); Max Topo K, maximum curvature by corneal topography; Pach, pachymetry; T tono, tonometry by Tono-Pen; Tmax, maximum GAT in medical record;
*For interval variable P values are from generalized estimating equations (GEE regression) for paired data using SAS PROC.GENMOC. For nominal variable P values are from conditional logistic regression for paired data using SAS PROC LOGISTIC.
Hypothesis tests are per patient.