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. 2023 Sep 6;64(12):10. doi: 10.1167/iovs.64.12.10

Table 1.

Characteristics of Patients With CON and NTG

CON NTG P *
Eyes, n 56 71 N/A
Age (y), mean ± SD 52.7 ± 11.5 53.2 ± 8.4 0.827
Gender (male/female), n 31/25 32/38 0.372
SE (D), mean ± SD −1.49 ± 2.45 −2.38 ± 2.19 0.177
IOP at examination (mmHg), mean ± SD 16.0 ± 5.3 14.0 ± 2.9 0.013
MD (dB), mean ± SD −4.60 ± 5.13 −6.78 ± 4.81 0.063
PSD (dB), mean ± SD 6.11 ± 5.25 10.83 ± 5.04 <0.001
Hemifield involvement, n (%) N/A Inferior, 43 (61.4) N/A
Superior, 4 (5.7)
Both, 23 (32.9)
OCT, Mean ± SD
Average peripapillary RNFL thickness (µm) 77.4 ± 9.4 74.5 ± 8.3 0.092
 Superior 97.6 ± 15.1 97.3 ± 17.9 0.919
 Temporal 51.8 ± 10.1 62.1 ± 10.0 0.001
 Inferior 101.8 ± 16.6 72.5 ± 14.6 <0.001
 Nasal 59.0 ± 8.5 64.4 ± 9.1 0.018
Average GCIPL thickness (µm) 67.0 ± 5.5 68.0 ± 4.6 0.359
Minimum GCIPL thickness (µm) 55.6 ± 8.9 51.6 ± 4.8 0.015
Sectoral GCIPL thickness (µm)
 Superior 64.8 ± 7.0 76.6 ± 8.7 <0.001
 Superotemporal 76.3 ± 7.6 73.2 ± 7.2 0.032
 Inferotemporal 79.6 ± 8.0 55.3 ± 6.8 <0.001
 Inferior 66.8 ± 6.7 56.0 ± 6.0 <0.001
 Inferonasal 55.7 ± 8.0 67.2 ± 7.7 <0.001
 Superonasal 57.8 ± 8.7 79.9 ± 8.1 <0.001
OCTA, Mean ± SD
Average peripapillary VD (%) 51.6 ± 4.6 55.1 ± 3.8 <0.001
 Superior 58.9 ± 8.1 62.5 ± 6.5 0.012
 Temporal 38.7 ± 5.7 52.7 ± 8.1 <0.001
 Inferior 65.6 ± 8.5 51.3 ± 9.7 <0.001
 Nasal 43.4 ± 6.4 53.8 ± 5.5 <0.001
Average macular VD (%) 46.5 ± 2.6 47.3 ± 2.8 0.233
 Superior 47.4 ± 2.9 49.4 ± 4.9 0.174
 Temporal 46.9 ± 2.8 46.4 ± 3.5 0.341
 Inferior 47.3 ± 3.5 45.6 ± 4.6 0.032
 Nasal 44.4 ± 3.8 47.7 ± 6.1 0.147

CON, compressive optic neuropathy; NTG, normal-tension glaucoma; N/A, not applicable; SE, spherical equivalent; IOP, intraocular pressure; MD, mean deviation; PSD, pattern standard deviation; OCT, optical coherence tomography; RNFL, retinal nerve fiber layer; GCIPL, ganglion cell inner plexiform layer; OCTA, optical coherence tomography angiography; VD, vessel density. Bold text denotes statistical significance.

*

P values were calculated using a generalized estimation equation (GEE).