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. 2019 May 23:13:859-868.
doi: 10.2147/OPTH.S190942. eCollection 2019.

Identification of eyes at risk of acute primary angle-closure in elderly Japanese patients

Affiliations

Identification of eyes at risk of acute primary angle-closure in elderly Japanese patients

Tetsuya Muto et al. Clin Ophthalmol. .

Abstract

Purpose: To identify from the anterior segment the structural variables of the eyes that can be used to distinguish acute primary angle-closure (APAC) eyes or primary angle-closure suspect (PACS) eyes from normal eyes. Patients and methods: We used a Pentacam scanner to measure participants' anterior eye segments. We assessed each anterior segment structure variable on the basis of receiver operating characteristic curves using the area under the curve (AUC). Results: AUCs for eyes in men with APAC were 1.000 for central anterior chamber depth (ACD), 0.982 for peripheral ACD, 0.916 for anterior chamber angle (ACA), and 0.992 for anterior chamber volume (ACV). AUCs for eyes in women with APAC were 0.997 for central ACD, 0.942 for peripheral ACD, 0.922 for ACA, and 0.946 for ACV. AUCs for eyes in men with PACS were 0.933 for central ACD, 0.930 for peripheral ACD, 0.887 for ACA, and 0.937 for ACV. AUCs for eyes in women with PACS were 0.960 for central ACD, 0.957 for peripheral ACD, 0.937 for ACA, and 0.937 for ACV. The negative predictive values (%) in men with APAC were 100 for all the four variables (central ACD, peripheral ACD, ACA, and ACV). The negative predictive values (%) in women with APAC were 100 for central ACD, 98.7 for peripheral ACD, 97.1 for ACA, and 97.9 for ACV. The negative predictive values (%) in men with PACS were 98.6 for central ACD, 100 for peripheral ACD, 98.5 for ACA, and 99.4 for ACV. The negative predictive values (%) in women with PACS were 100 for central ACD, 98.7 for peripheral ACD, 97.1 for ACA, and 97.9 for ACV. Conclusions: The central ACD, peripheral ACD, ACA, and ACV measurements seem to be excellent markers to identify eyes without APAC or PACS.

Keywords: Pentacam; acute primary angle-closure; anterior segment; glaucoma.

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Conflict of interest statement

The authors report no conflicts of interest in this work.

Figures

Figure 5
Figure 5
Receiver operating characteristic curves for central ACD, peripheral ACD, ACA, and ACV to identify eyes with PACS in men. Abbreviations: ACD, anterior chamber depth; ACA, anterior chamber angle; ACV, anterior chamber volume; PACS, primary angle-closure suspect.
Figure 1
Figure 1
Biometric variables, including central anterior chamber depth (ACD), peripheral ACD, anterior chamber angle (ACA), and anterior chamber volume (ACV), were measured with a Pentacam (A). Representative images for a normal eye, an eye with APAC, and an eye with PACS (B). Abbreviations: APAC, acute primary angle- closure; PACS, primary angle-closure suspect.
Figure 2
Figure 2
Bar graphs showing central ACD (A), peripheral ACD (B), ACA (C) and ACV (D). Bars represent means of values with 95% confidence intervals. Abbreviations: ACD, anterior chamber depth; ACA, anterior chamber angle; ACV, anterior chamber volume; APAC, acute primary angle-closure; PACS, primary angle-closure suspect.
Figure 3
Figure 3
Receiver operating characteristic curves for central ACD, peripheral ACD, ACA, and ACV to identify eyes with APAC in men. Abbreviations: ACD, anterior chamber depth; ACA, anterior chamber angle; ACV, anterior chamber volume; APAC, acute primary angle-closure.
Figure 4
Figure 4
Receiver operating characteristic curves for central ACD, peripheral ACD, ACA, and ACV to identify eyes with APAC in women. Abbreviations: ACD, anterior chamber depth; ACA, anterior chamber angle; ACV, anterior chamber volume; APAC, acute primary angle-closure.
Figure 6
Figure 6
Receiver operating characteristic curves for central ACD, peripheral ACD, ACA, and ACV to identify eyes with PACS in women. Abbreviations: ACD, anterior chamber depth; ACA, anterior chamber angle; ACV, anterior chamber volume; PACS, primary angle-closure suspect.

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