Uveal effusion following acute primary angle-closure: a retrospective case series

AimsTo study the risk factors associated with blindness after treatment of acute primary angle closure (APAC), and to identify the critical time window to decrease rate of blindness.MethodsIn this multicentre retrospective case series, 1030 consecutive subjects (1164 eyes) with APAC in China were recruited. The rates of blindness were analysed up to 3 months after treatment of APAC. A logistic regression was used to identify the risk factors associated with blindness, including age, gender, distance to hospital, rural or urban settings, treatment method, education level, time from symptom to treatment (TST, hours) and presenting intraocular pressure (IOP). The critical time window associated with a blindness rate of ≤1% was calculated based on a cubic function by fitting TST to the rate of blindness at each time point.ResultsThe rate of blindness after APAC was 12.54% after treatment. In multivariate regression, education level, TST and presenting IOP were risk factors for blindness (p=0.022, 0.004 and 0.001, respectively). The critical time window associated with a blindness rate of ≤1% was 4.6 hours.Conclusions and relevanceEducation level, TST and presenting IOP were risk factors for blindness after APAC. Timely medical treatment is key in reducing blindness after APAC.

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A Study on Changes in Plasma Cholinesterase in Patients with Acute Primary Angle Closure

10.21203/rs.3.rs-863045/v1 ◽

2021 ◽

Author(s):

Tian Tian ◽

Yu Cai ◽

Mei Li ◽

Yuan Fang ◽

Yingzi Pan

Keyword(s):

Pearson Correlation ◽

Case Series ◽

Normal Subjects ◽

Plasma Cholinesterase ◽

Angle Closure ◽

Retrospective Case ◽

Acute Primary Angle Closure ◽

Primary Angle Closure ◽

Blood Biochemical ◽

Significant Difference

Abstract Purpose To analyze the differences in plasma cholinesterase (pChE) among patients with acute primary angle closure (APAC), patients with chronic primary angle closure glaucoma (CPACG) and normal people scheduled for cataract surgery and to analyze the relationship between intraocular pressure (IOP) and pChE in order to explore the significance of pChE in the pathogenesis of glaucoma. Methods Retrospective case series. Nighty-four patients with APAC, 72 patients with CPACG and 95 normal controls were enrolled in this study. All patients excluding those with diseases that may affect pChE underwent routine blood biochemical examination. Pearson correlation analysis was used to further analyze the correlation of IOP with pChE. Results There was no significant difference in age or sex among the three groups. The difference in IOP among the APAC (43.8 ± 12.2 mmHg), CPACG (25.6 ± 7.4 mmHg) and normal groups (13.6 ± 1.8 mmHg) was significant (P = 0.000). There was a significant difference in pChE between patients with APAC (7450.89 ± 1748.49 IU/L) and normal subjects (7994.68 ± 1321.90 IU/L) (P = 0.000) and between patients with APAC and those with CPACG (7969.44 ± 1572.14 IU/L) (P = 0.000). There was no significant difference in pChE between CPACG patients and normal subjects (P = 0.932). There was a moderate negative correlation between IOP and pChE in APAC patients (r = -0.410, P = 0.000), while there was no significant correlation in CPACG patients (P = 0.228) or normal subjects (P = 0.341). Conclusion APAC patients with higher IOP had lower pChE, which may have been related to IOP-induced neuroinflammation. It may provide a new strategy for optic nerve protection in glaucoma patients.

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