| Literature DB >> 28272234 |
Jin-Woo Kwon1, Donghyun Jee, Tae Yoon La.
Abstract
To evaluate the prevalence and risk factors of neovascular glaucoma (NVG) after vitrectomy in patients with vitreous hemorrhage associated with proliferative diabetic retinopathy (PDR). This retrospective, noncomparative, observational study included 127 eyes of 127 patients with PDR who received vitrectomy with a follow-up period of at least 6 months. The prevalence of NVG and associated risk factors were assessed including sex, age, previous panretinal photocoagulation, baseline intraocular pressure, combined phacovitrectomy, and pretreatment with intravitreal bevacizumab (IVB) before vitrectomy for the treatment of vitreous hemorrhage. NVG developed in 15 (11.8%) of 127 patients. Of the 15 eyes with NVG, 11 cases (73.3%) postoperatively developed NVG within 6 months. Postoperative NVG was associated with preoperative IVB treatment (odds ratio, 4.43; P = 0.019). The prevalence of NVG after vitrectomy was 11.8%, and an associated risk factor for NVG was preoperative IVB for the treatment of vitreous hemorrhage.Entities:
Mesh:
Year: 2017 PMID: 28272234 PMCID: PMC5348182 DOI: 10.1097/MD.0000000000006263
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Patient demographic characteristics according to subjects with or without NVG.
Figure 1Cumulative probability of neovascular glaucoma after vitrectomy in patients with vitreous hemorrhage associated with proliferative diabetic retinopathy using Kaplan–Meier survival analyses. (A) Total patients. (B) Patients with or without intravitreal bevacizumab (IVB) treatment. The solid line designates patients without IVB treatment, and the dotted line designates patients with IVB treatment. IVB = intravitreal injection of bevacizumab, NVG = neovascular glaucoma.
Survival tables for 15 cases of neovascular glaucoma after vitrectomy in diabetic retinopathy using a Kaplan–Meier analysis.
Associated factors with neovascular glaucoma after vitrectomy in diabetic retinopathy using multiple Cox proportional hazard regression model.