In:
Journal of Glaucoma, Ovid Technologies (Wolters Kluwer Health), Vol. 32, No. 2 ( 2023-02), p. 80-84
Kurzfassung:
Health examination center-based screening provide a good supplement to clinic-based glaucoma care by detecting early-stage glaucoma, especially those with normal intraocular pressure (IOP) and less visual impairment. Purpose: Opportunistic glaucoma screening for early case identification is of great value in the prevention of severe visual impairment, however, novel, low-cost models are needed. We aimed to determine whether health examination center-based glaucoma screening identifies diseases earlier than outpatient cases in China. Materials and Methods: In this case-control study, 76 patients with primary glaucoma identified from a health examination center-based glaucoma screening program and 272 consecutive outpatient cases at the same hospital were enrolled from March 21 to September 30, 2016. Demographic characteristics, best-corrected visual acuity, IOP, mean deviation (MD), and pattern standard deviation (PSD) on Humphrey visual field testing in the better-seeing eye were compared between groups. Results: Screening-detected glaucoma patients had significantly lower IOP (18.3±4.2 mm Hg) than out-patient cases (26.7±12.6 mm Hg, P 〈 0.001). Most (71.1%) of the screening-detected patients had IOP 〈 21 mm Hg compared with 37.1% in the clinic group ( P 〈 0.001). Seventy-five patients (98.7%) in the screening group were diagnosed as primary open angle glaucoma, compared with 44.1% in the clinic group ( P 〈 0.001). Screening-detected patients had significantly less visual impairment than the clinic group (6.6% vs. 38.6%, P 〈 0.05). Mean MD (−4.4±5.0 dB) and PSD (4.4±3.6 dB) for the screening group were superior to the clinic group (MD: −16.5±10.5 dB, P 〈 0.001; PSD: 6.5±3.7 dB, P 〈 0.001). Conclusion: The glaucoma screening program was effective at detecting early disease, especially normal tension glaucoma and supplemented opportunistic detection of glaucoma.
Materialart:
Online-Ressource
ISSN:
1057-0829
DOI:
10.1097/IJG.0000000000002125
Sprache:
Englisch
Verlag:
Ovid Technologies (Wolters Kluwer Health)
Publikationsdatum:
2023
ZDB Id:
2060541-9
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