非眼底照相辅助远程医疗在糖尿病视网膜病变筛查中的应用

Wan Zhou, Xiao-Jing Yuan, Jie Li, Wei Wang, Hao-Qiang Zhang, Yuan-Yuan Hu, Shan-Dong Ye
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摘要

背景:对糖尿病视网膜病变(DR)进行早期筛查和准确分期可降低 2 型糖尿病患者失明的风险。糖尿病视网膜病变的发病机制复杂,涉及多种因素,因此仅靠眼科医生的筛查不足以预防和治疗糖尿病视网膜病变。通常情况下,内分泌科医生是最早接诊糖尿病患者的医生,因此应筛查视网膜病变,以便及早干预。目的 探讨非眼底照相(NMFP)增强型远程医疗在评估 DR 及其不同阶段的疗效。方法 这项回顾性研究纳入了对 93 名糖尿病患者的分析结果,同时检查了 NMFP 辅助远程医疗和眼底荧光素血管造影 (FFA)。研究重点是评估这两种方法在检测 DR 方面的一致性。此外,还生成了接收器操作特征曲线 (ROC),以 FFA 结果为标准基准,确定 NMFP 辅助远程医疗的最佳灵敏度和特异性。结果 在 DR 诊断和分期方面,NMFP 辅助远程医疗和 FFA 的卡帕系数分别为 0.775 和 0.689,表明方法间的一致性很高。此外,以 ROC 曲线下面积表示的 NMFP 辅助远程医疗对 FFA 阳性结果的预测准确度高达 0.955,置信区间为 0.914 至 0.995,统计学意义上的 P 值小于 0.001。该预测模型的特异性为 100%,灵敏度为 90.9%,尤登指数为 0.909。结论 NMFP 辅助远程医疗是一种实用、客观、精确的眼底检查方式,尤其适用于内分泌科住院病人护理和糖尿病患者的初级医疗保健环境。在这些情况下使用该方法具有重要意义,可提高糖尿病诊断和治疗管理的临床准确性。这种方法不仅能简化患者评估,还能大大有助于优化 DR 管理的临床效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of non-mydriatic fundus photography-assisted telemedicine in diabetic retinopathy screening
BACKGROUND Early screening and accurate staging of diabetic retinopathy (DR) can reduce blindness risk in type 2 diabetes patients. DR’s complex pathogenesis involves many factors, making ophthalmologist screening alone insufficient for prevention and treatment. Often, endocrinologists are the first to see diabetic patients and thus should screen for retinopathy for early intervention. AIM To explore the efficacy of non-mydriatic fundus photography (NMFP)-enhanced telemedicine in assessing DR and its various stages. METHODS This retrospective study incorporated findings from an analysis of 93 diabetic patients, examining both NMFP-assisted telemedicine and fundus fluorescein angiography (FFA). It focused on assessing the concordance in DR detection between these two methodologies. Additionally, receiver operating characteristic (ROC) curves were generated to determine the optimal sensitivity and specificity of NMFP-assisted telemedicine, using FFA outcomes as the standard benchmark. RESULTS In the context of DR diagnosis and staging, the kappa coefficients for NMFP-assisted telemedicine and FFA were recorded at 0.775 and 0.689 respectively, indicating substantial intermethod agreement. Moreover, the NMFP-assisted telemedicine’s predictive accuracy for positive FFA outcomes, as denoted by the area under the ROC curve, was remarkably high at 0.955, within a confidence interval of 0.914 to 0.995 and a statistically significant P -value of less than 0.001. This predictive model exhibited a specificity of 100%, a sensitivity of 90.9%, and a Youden index of 0.909. CONCLUSION NMFP-assisted telemedicine represents a pragmatic, objective, and precise modality for fundus examination, particularly applicable in the context of endocrinology inpatient care and primary healthcare settings for diabetic patients. Its implementation in these scenarios is of paramount significance, enhancing the clinical accuracy in the diagnosis and therapeutic management of DR. This methodology not only streamlines patient evaluation but also contributes substantially to the optimization of clinical outcomes in DR management.
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