Department of Ophthalmology, Sapienza University of Rome, Rome, Italy.
Department of Public Health and Infectious Disease, Sapienza University of Rome, Rome, Italy.
Ocul Immunol Inflamm. 2021 Nov 17;29(7-8):1355-1362. doi: 10.1080/09273948.2020.1751213. Epub 2020 May 14.
: To assess the frequency of clinical signs in patients with viral acute anterior uveitis (AAU), and their ability to differentiate viral versus non-viral AAU.: 168 patients with AAU, including 84 with presumed viral etiology, were evaluated. Sensitivity, specificity, area under the curve (AUC), positive and negative predictive value were calculated for each clinical sign. The model built with these parameters was tested on a validation group comprising 66 patients with AAU.: The most useful clinical signs were unilaterality (sensitivity: 98.8%, specificity: 57.1%), intraocular pressure (IOP) ≥24 mmHg (sensitivity: 68.7%, specificity: 91.7%), and the association between the two (sensitivity: 68.7%, specificity: 95.2%). In the validation group, the model built with these parameters presented AUC of 0.939. Adding iris atrophy AUC increased to 0.97. Considering these signs, it was possible to diagnose viral uveitis in 93.9% of the patients.: Unilaterality, IOP≥24 mmHg and iris atrophy are significant predictors of possible viral etiology in AAU.
: 评估病毒性急性前葡萄膜炎（AAU）患者的临床体征频率及其区分病毒性与非病毒性 AAU 的能力。共评估了 168 例 AAU 患者，其中 84 例为疑似病毒性病因。计算了每个临床体征的敏感性、特异性、曲线下面积（AUC）、阳性和阴性预测值。使用这些参数构建的模型在包含 66 例 AAU 患者的验证组上进行了测试。最有用的临床体征是单侧性（敏感性：98.8%，特异性：57.1%）、眼内压（IOP）≥24mmHg（敏感性：68.7%，特异性：91.7%）以及两者的相关性（敏感性：68.7%，特异性：95.2%）。在验证组中，使用这些参数构建的模型 AUC 为 0.939。添加虹膜萎缩后 AUC 增加到 0.97。考虑到这些迹象，有可能在 93.9%的患者中诊断为病毒性葡萄膜炎。: 单侧性、IOP≥24mmHg 和虹膜萎缩是 AAU 中可能的病毒病因的重要预测指标。
