Predictors of Vision Loss After Lapse in Antivascular Endothelial Growth Factor Treatment in Patients With Diabetic Macular Edema.

IF 0.5 Q4 OPHTHALMOLOGY Journal of VitreoRetinal Diseases Pub Date : 2024-12-13 DOI:10.1177/24741264241305123
Meghana Chalasani, Christopher Maatouk, Jonathan Markle, Rishi P Singh, Katherine E Talcott
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Abstract

Purpose: To identify baseline characteristics that predict visual outcomes after a lapse in treatment among patients with diabetic macular edema (DME) who received intravitreal antivascular endothelial growth factor injections. Methods: In this retrospective study, patients with DME who had lapses in treatment of 3 months or longer were separated into 2 groups (stable vision, n = 201; vision loss, n = 61) based on an Early Treatment Diabetic Retinopathy Study vision loss threshold of 10 letters. Stepwise backward logistic regression was used to analyze baseline factors associated with vision loss and to create a predictive algorithm. Results: In the final regression model, the length of lapse in treatment (odds ratio [OR]; 1.15, 95% CI, 1.07-1.25), diabetic foot disease (OR, 3.02; 95% CI, 1.09-8.2), and Medicaid insurance (OR, 4.60; 95% CI, 1.20-18.7) were positively associated with vision loss (P < .05). Time since diagnosis of diabetic retinopathy (OR, 0.95; 95% CI, 0.91-0.99) was negatively associated with vision loss (P < .05). The final prediction model had a sensitivity of 20% and a specificity of 84%, with an area under the curve of 65%. Conclusions: For patients with DME at high risk for a lapse in treatment, baseline characteristics can help predict vision loss and guide management.

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糖尿病黄斑水肿患者抗血管内皮生长因子治疗失败后视力丧失的预测因素。
目的:确定在接受玻璃体内抗血管内皮生长因子注射的糖尿病黄斑水肿(DME)患者中,预测治疗中断后视觉效果的基线特征。研究方法在这项回顾性研究中,根据早期治疗糖尿病视网膜病变研究视力下降阈值 10 个字母,将治疗中断 3 个月或更长时间的 DME 患者分为两组(视力稳定,201 人;视力下降,61 人)。采用逐步后向逻辑回归分析与视力下降相关的基线因素,并建立预测算法。结果:在最终回归模型中,治疗失效时间(几率比 [OR];1.15,95% CI,1.07-1.25)、糖尿病足病(OR,3.02;95% CI,1.09-8.2)和医疗补助保险(OR,4.60;95% CI,1.20-18.7)与视力下降呈正相关(P .05)。糖尿病视网膜病变确诊时间(OR,0.95;95% CI,0.91-0.99)与视力丧失呈负相关(P .05)。最终预测模型的灵敏度为 20%,特异度为 84%,曲线下面积为 65%。结论是对于治疗失误风险较高的 DME 患者,基线特征有助于预测视力损失并指导治疗。
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CiteScore
1.20
自引率
16.70%
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0
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