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Evaluation of factors for predicting risk of uveitis recurrence in Behcet's disease patients

机译:评估Behcet病患者葡萄膜炎患者风险的因素

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This study aimed to investigate the predictive factors for uveitis recurrence (UR) risk in Behcet's disease (BD) patients. BD patients (n=164) with a history of uveitis were recruited, and demographic data, clinical features, and laboratory tests were recorded. Uveitis was defined as anterior uveitis, intermediate uveitis, posterior uveitis, panuveitis referring to the “International Uveitis Study Group recommendations for the evaluation of intraocular inflammatory disease”. In total, there were 70 UR patients and 94 non-UR patients. Compared to non-UR patients, UR patients appeared to be older and presented with increased uveitis occurrence rate and times within 3 months, oral ulcers occurrence rate, as well as higher concentrations of triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL), and serum amyloid A (SAA). Multivariate logistic model disclosed that uveitis occurrence times within 3 months, oral ulcers, TG, LDL, and SAA independently predicted higher risk of UR. Furthermore, receiver operating characteristic curve analysis showed that the combination of uveitis occurrence times within 3 months, oral ulcers, TG, LDL, and SAA exhibited a high predictive value for UR risk with an area under the curve of 0.983 (95%CI: 0.969?0.998). In conclusion, uveitis occurrence times within 3 months, oral ulcers, TG, LDL, and SAA might be potential predictive factors for UR risk in BD patients, which can help in prevention and management of the disease.
机译:本研究旨在调查Behcet疾病(BD)患者葡萄膜炎复发(UR)风险的预测因素。招募了BD患者(n = 164),招募了葡萄炎病史,并记录了人口统计数据,临床特征和实验室测试。葡萄膜炎被定义为前葡萄炎,中间葡萄炎,后葡萄炎,引导恐慌炎,指的是“国际葡萄膜炎研究组的评价的人工炎症疾病”。总共有70例患者和94名非UR患者。与非UR患者相比,UR患者似乎是年龄的,并且在3个月内的葡萄膜炎发生率和时间增加,口服溃疡发生率,以及更高的甘油三酯(TG),总胆固醇(TC),低 - 密度脂蛋白(LDL)和血清淀粉样蛋白A(SAA)。多变量物流模型公开了葡萄膜炎发生时间在3个月内,口腔溃疡,TG,LDL和SAA独立地预测了UR的风险。此外,接收器操作特征曲线分析表明,3个月内的葡萄膜炎发生时间,口服溃疡,Tg,LDL和SaA的组合表现出对US风险的高预测值,曲线下的曲线为0.983(95%CI:0.969 ?0.998)。总之,3个月内的葡萄膜炎发生时间,口服溃疡,TG,LDL和SAA可能是BD患者风险的潜在预测因素,这有助于预防和管理该疾病。

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