关键词: AF score, AOSD/FUO score AOSD, adult-onset Still's disease Adult-onset Still's disease BMA, Bayesian Model Averaging Bayesian method CRP, C-reactive protein Classification criteria ESR, erythrocyte sedimentation rate FUO, fever of unknown origin Fever of unknown origin NPV, negative predictive value PIP, posterior inclusion probability PPEs, persistent pruritic eruptions PPV, positive predictive value Persistent pruritic eruptions

来  源:   DOI:10.1016/j.jtauto.2022.100184   PDF(Pubmed)

Abstract:
UNASSIGNED: To develop and validate a diagnostic score to identify adult-onset Still\'s disease (AOSD) in fever of unknown origin (FUO).
UNASSIGNED: A single center, retrospective case-control study of inpatients with FUO from January 2018 to December 2021. Using clinical and laboratory data from 178 cases with AOSD and 486 cases with FUO, we developed an AOSD/FUO (AF) score with a Bayesian Model Averaging approach. AF score and Yamaguchi\'s criteria were evaluated by sensitivity, specificity, accuracy, and positive/negative predictive value for diagnosis of AOSD in developmental and validation samples.
UNASSIGNED: Persistent pruritic eruptions (PPEs) in patients with rashes was higher in AOSD group than FUO group (52.3% vs 7.4%; P < 0.01). PPEs yielded a specificity of 97.5% and a sensitivity of 44.9%. AF score = PPEs × 3.795+Evanescent rash × 2.774+Serum ferritin × 1.678+Myalgia × 0.958+Neutrophil count × 0.185+Platelet count × 0.004. A cut-off value ≥ 5.245 revealed the maximizing sensitivity of 88.7% and specificity of 95.8% in discriminating AOSD from FUO in the validation group. And AF score improved the accuracy from 82.6% to 93.3% compared with Yamaguchi\'s criteria.
UNASSIGNED: We developed and validated a new score which can identify AOSD in FUO with higher classification accuracy than Yamaguchi\'s criteria. Future multi-centric prospective studies need to be designed to confirm the diagnosis value of AF score.
摘要:
未经证实:制定并验证诊断评分,以确定不明原因发热(FUO)中的成人起病斯蒂尔病(AOSD)。
未经评估:单个中心,2018年1月至2021年12月FUO住院患者的回顾性病例对照研究。使用来自178例AOSD和486例FUO的临床和实验室数据,我们使用贝叶斯模型平均方法开发了AOSD/FUO(AF)评分。AF评分和Yamaguchi标准通过敏感度评估,特异性,准确度,以及在发育和验证样本中AOSD诊断的阳性/阴性预测值。
UNASSIGNED:AOSD组皮疹患者的持续瘙痒性皮疹(PPEs)高于FUO组(52.3%vs7.4%;P<0.01)。PPEs的特异性为97.5%,灵敏度为44.9%。AF评分=PPEs×3.795+消退皮疹×2.774+血清铁蛋白×1.678+肌痛×0.958+中性粒细胞计数×0.185+血小板计数×0.004。截止值≥5.245显示,在验证组中区分AOSD和FUO的最大灵敏度为88.7%,特异性为95.8%。与山口标准相比,AF评分将准确率从82.6%提高到93.3%。
UNASSIGNED:我们开发并验证了一种新的评分,该评分可以比Yamaguchi的标准更高的分类精度来识别FUO中的AOSD。未来需要设计多中心前瞻性研究来确认AF评分的诊断价值。
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