five

Data Sheet 1_Cataract surgery outcomes in pseudoexfoliation syndrome: a large multicenter database study.docx

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://figshare.com/articles/dataset/Data_Sheet_1_Cataract_surgery_outcomes_in_pseudoexfoliation_syndrome_a_large_multicenter_database_study_docx/31322164
下载链接
链接失效反馈
官方服务:
资源简介:
AimTo evaluate intraoperative and postoperative complications and visual acuity (VA) outcomes of cataract surgery in pseudoexfoliation (PEX) eyes compared to non-PEX eyes. MethodsWe included eyes undergoing phacoemulsification across eight centers in the United Kingdom between July 2003 and March 2015. We categorized these into four groups based on the presence of PEX and other ocular comorbidities. Complications and VA were calculated among each group. Multivariable adjusted models were used to obtain adjusted differences in VA outcomes and adjusted relative risks (RR) of complications. Results172,008 eyes were included. PEX was present in 1.2% of the study population. PEX eyes had more posterior capsular rupture, zonular dialysis, nucleus drop, and conversion to extracapsular extraction (adjusted RR = 2.3 [95% CI = 1.7 – 3.0], 6.7 [4.9 – 9.0], 2.5 [1.2 – 5.4], and 2.6 [1.03 – 6.3], respectively). Postoperatively, PEX eyes experienced more intraocular pressure ≥ 22 mmHg and IOL dislocation requiring surgical intervention (adjusted RR = 1.6 [1.1 – 2.3] and 7.3 [4.4 – 12.2], respectively). After accounting for the effect of ocular copathology, PEX eyes had similar postoperative VA outcomes (adjusted RR of achieving LogMAR <= 0.3 = 0.99, 95% CI = 0.95 – 1.02) and VA gain ≥ 0.3 logMAR (adjusted RR = 1.05, 95% CI = 0.99 – 1.11) at 4–12 weeks, compared to non-PEX eyes. ConclusionsCataract surgery in PEX has more intraoperative complications, but the visual outcomes were favorable. These findings can inform clinical decision-making and patient counseling in managing cataracts in individuals with PEX.
创建时间:
2026-02-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作