| Literature DB >> 34964834 |
Yi-Ting Hou1, Ta-Ching Chen1, Chao-Yuan Yeh2, Chao-Wen Lin1.
Abstract
Purpose: The purpose of this study was to investigate the correlations between peripapillary choroidal thickness (PCT) and nonarteritic ischemic optic neuropathy (NAION) by using semiautomated optic coherence tomography (OCT).Entities:
Mesh:
Year: 2021 PMID: 34964834 PMCID: PMC8740530 DOI: 10.1167/tvst.10.14.31
Source DB: PubMed Journal: Transl Vis Sci Technol ISSN: 2164-2591 Impact factor: 3.283
Figure 1.Customized semiautomated MATLAB program assisting the measurement of peripapillary choroidal thickness (PCT). (A) High-resolution optic coherence topography (OCT) image of the peripapillary retina with an 8-mm cross section. (B) We inscribed the yellow line along the retinal pigment epithelium as the reference curve and then drew along the contour of the choroid. The area of the choroid is shown in green. Red lines were automatically produced at fixed 1-µm intervals and represent the auxiliary lines perpendicular to the yellow reference curve. (C) Magnified view of B. The auxiliary red lines were used for calculating the choroid thickness at high spatial density. (D) The calculation of PCT was composed of four cross-line images that cover eight regions of the eye. Warm colors represent a thicker choroid and cool colors represent a thinner choroid. (E) A full circle of PCT was estimated with the spline interpolation of the data shown in D.
Demographic and Clinical Characteristics of the NAION Group and Age-Matched Control Group
| NAION | Control | ||
|---|---|---|---|
| Variables | ( | ( |
|
| Age, years | 59.97 ± 8.27 | 59.08 ± 14.92 | 0.762 |
| Gender | 0.316 | ||
| Male | 19 | 19 | |
| Female | 13 | 21 | |
| Axial length, mm | 23.8 ± 1.15 | 24.1 ± 1.03 | 0.28 |
| Hypertension | 0.638 | ||
| Yes | 8 | 12 | |
| No | 24 | 28 | |
| Diabetes mellitus | 0.761 | ||
| Yes | 4 | 6 | |
| No | 28 | 34 |
Data presented as mean ± SD.
P < 0.05 was considered statistically significant.
NAION, nonarteritic anterior ischemic optic neuropathy.
PCT in NAION Eyes, Unaffected Fellow Eyes, and Control Eyes
| NAION | Fellow | Control |
| ||||||
|---|---|---|---|---|---|---|---|---|---|
| PCT, µm | Mean | SD | Mean | SD | Mean | SD | NAION vs. Fellow | NAION vs. Control | Fellow vs. Control |
| Mean | 197.09 | 38.09 | 196.52 | 38.47 | 153.53 | 29.92 | 0.174 | <0.001 | <0.001 |
| Superior | 199.43 | 36.73 | 200.03 | 47.63 | 167.17 | 37.03 | 0.323 | <0.001 | 0.002 |
| Inferior | 187.73 | 44.83 | 179.56 | 39.32 | 137.19 | 33.12 | 0.291 | <0.001 | <0.001 |
| Nasal | 207.83 | 49.64 | 199.63 | 46.30 | 159.59 | 37.38 | 0.719 | <0.001 | <0.001 |
| Temporal | 196.90 | 36.70 | 196.23 | 45.33 | 154.57 | 38.68 | 0.813 | <0.001 | <0.001 |
P < 0.05 was considered statistically significant.
NAION, nonarteritic anterior ischemic optic neuropathy; PCT, peripapillary choroidal thickness.
Figure 2.Distribution of mean peripapillary choroidal thickness in four quadrants (nasal, inferior, temporal, and superior) of nonarteritic anterior ischemic optic neuropathy (NAION) eyes, unaffected fellow eyes, and control eyes.
Statistical Analysis of Potential Predisposing Factors for NAION
| OR | 95% CI |
| Adjusted OR | 95% CI |
| |
|---|---|---|---|---|---|---|
| Age, Years | 1.006 (Per Year of Age) | 0.968–1.045 | 0.759 | 1.022 (Per Year of Age) | 0.972–1.074 | 0.389 |
| Gender | ||||||
| Male | 1 (reference) | 1 (reference) | ||||
| Female | 1.615 | 0.631–4.134 | 0.317 | 0.533 | 0.177–1.722 | 0.307 |
| AXL, mm | 0.783 | 0.505–1.214 | 0.274 | 0.930 | 0.546–1.585 | 0.790 |
| Hypertension | ||||||
| Yes | 1.286 | 0.451–3.665 | 0.638 | |||
| No | 1 (reference) | |||||
| DM | ||||||
| Yes | 0.810 | 0.208–3.155 | 0.761 | |||
| No | 1 (reference) | |||||
| Mean PCT, 10 µm | 1.417 (per 10 µm) | 1.186–1.692 | <0.001 | 1.426 | 1.187–1.714 | <0.001 |
P < 0.05 was considered statistically significant.
NAION, nonarteritic anterior ischemic optic neuropathy; AXL, axial length; DM, diabetes mellitus; PCT, peripapillary choroidal thickness; OR, odds ratio; CI, confidence interval.
Multiple Linear Regression Analysis of Potential Prognostic Factors Associated With Visual Outcomes
| Visual Acuity (LogMAR) | Visual Field, dB | |||||
|---|---|---|---|---|---|---|
| Regression Coefficient | Standard Error |
| Regression Coefficient | Standard Error |
| |
| Age, years | 0.012 | 0.017 | 0.504 | 0.021 | 0.212 | 0.921 |
| Gender, male/female | –0.403 | 0.277 | 0.157 | –0.173 | 3.467 | 0.961 |
| AXL, mm | –0.004 | 0.122 | 0.975 | 1.772 | 1.741 | 0.318 |
| Hypertension | 0.337 | 0.381 | 0.383 | 9.362 | 4.936 | 0.069 |
| DM | –0.064 | 0.314 | 0.839 | –4.773 | 4.061 | 0.254 |
| Mean PCT, µm | –0.007 | 0.003 | 0.063 | 0.010 | 0.041 | 0.804 |
LogMAR, logarithm of a minimum angle of resolution; AXL, axial length; DM, diabetes mellitus; PCT, peripapillary choroidal thickness.