Lee Ji-Woong, Morales Esteban, Yu Fei, Afifi Abdelmonem A, Kim Eun-Ah, Abdollahi Niloufar, Nouri-Mahdavi Kouros, Caprioli Joseph
Jules Stein Eye Institute, David Geffen School of Medicine at UCLA, Los Angeles, California2Department of Ophthalmology, Pusan National University School of Medicine, Busan, Korea.
Jules Stein Eye Institute, David Geffen School of Medicine at UCLA, Los Angeles, California.
JAMA Ophthalmol. 2014 Nov;132(11):1296-302. doi: 10.1001/jamaophthalmol.2014.2326.
A visual field parameter that is resistant to cataract formation and extraction would help monitor glaucomatous visual field progression in patients with coexisting glaucoma and cataract.
To evaluate the effect of cataract surgery on the slow and fast components of visual field decay in a group of patients with glaucoma.
DESIGN, SETTING, AND PARTICIPANTS: Retrospective, interventional, longitudinal study. Eighty-five eyes of 68 patients with open-angle glaucoma who had cataract extraction were included. All patients had 5 or more reliable visual field measurements before and after surgery.
A pointwise exponential regression was used to perform trend analysis on thresholds at visual field test locations before and after cataract surgery. The test locations were ranked according to the decay rate and were partitioned into slow and fast groups.
The slow and fast visual field rate components were measured before and after cataract surgery and were compared. Linear regressions of the mean deviation and the visual field parameter were performed against time and were compared before and after surgery.
The mean (SD) mean deviation was -5.5 (5.1) dB before cataract surgery and -5.0 (4.9) dB after cataract surgery (P = .002). The mean (SD) Visual Field Index was 86.4% (13.5%) before cataract surgery and 86.6% (13.3%) after cataract surgery (P = .30). The mean (SD) slow component rate decreased from 0.48% (0.73%) per year before surgery to 0.26% (0.42%) per year after surgery (P = .04). No statistically significant difference was identified in the fast component mean (SD) rate per year before surgery (3.37% [4.05%]) vs per year after surgery (3.46% [3.56%]) (P = .29).
Cataract progression seems to be the main determinant for the slow visual field rate component and does not change the fast visual field rate component. We conclude that the method used can help reduce the confounding effects of cataract progression and cataract extraction on measured perimetric progression in glaucoma.
一种对白内障形成和摘除具有抗性的视野参数,将有助于监测青光眼合并白内障患者的青光眼性视野进展情况。
评估白内障手术对一组青光眼患者视野衰退的慢成分和快成分的影响。
设计、设置和参与者:回顾性、干预性、纵向研究。纳入了68例接受白内障摘除术的开角型青光眼患者的85只眼。所有患者在手术前后均进行了5次或更多次可靠的视野测量。
采用逐点指数回归对白内障手术前后视野测试位置的阈值进行趋势分析。根据衰退率对测试位置进行排序,并分为慢组和快组。
测量白内障手术前后的慢视野率成分和快视野率成分,并进行比较。对平均偏差和视野参数与时间进行线性回归,并在手术前后进行比较。
白内障手术前平均(标准差)平均偏差为-5.5(5.1)dB,手术后为-5.0(4.9)dB(P = 0.002)。白内障手术前平均(标准差)视野指数为86.4%(13.5%),手术后为86.6%(13.3%)(P = 0.30)。慢成分率平均(标准差)从手术前的每年0.48%(0.73%)降至手术后的每年0.26%(0.42%)(P = 0.04)。手术前每年快成分平均(标准差)率(3.37% [4.05%])与手术后每年(3.46% [3.56%])之间未发现统计学上的显著差异(P = 0.29)。
白内障进展似乎是视野慢率成分的主要决定因素,且不会改变视野快率成分。我们得出结论,所采用的方法有助于减少白内障进展和白内障摘除对青光眼测量视野进展的混杂影响。