FAM89A 和 IFI44L 用于区分发热患儿的病毒感染和细菌感染。

IF 1.9 4区 医学 Q2 PEDIATRICS Pediatric Investigation Pub Date : 2021-09-22 eCollection Date: 2021-09-01 DOI:10.1002/ped4.12295
Shufeng Tian, Jikui Deng, Wenhua Huang, Linlin Liu, Yunsheng Chen, Yongqiang Jiang, Gang Liu
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引用次数: 0

摘要

重要性:目前缺乏可靠的快速检测方法来区分细菌和病毒感染,这导致了抗生素的滥用:本研究旨在开发一种新型生物标志物检测方法,该方法综合了FAM89A和IFI44L的测量结果,有助于区分细菌感染和病毒感染:这项前瞻性研究招募了2018年7月1日至2019年6月30日期间两家医院的发热患儿。由三位经验丰富的儿科医生组成的小组利用现有的临床和实验室数据,包括 28 天的随访评估,对所有患者进行了参考标准诊断(即细菌或病毒感染)。化验操作员对参考标准诊断是盲法。FAM89A和IFI44L的表达水平通过定量实时聚合酶链反应评估确定:结果:在 133 名可能符合条件的疑似细菌或病毒感染患者中,有 35 人在应用排除标准后被排除。最后得出的队列包括 98 名患者,其中 59 人确诊为病毒感染,39 人确诊为细菌感染:其中 59 人确诊为病毒感染,39 人确诊为细菌感染。使用 FAM89A 和 IFI44L 进行诊断的曲线下面积(AUC)分别为 0.694 [95% 置信区间 (CI):0.583-0.804] 和 0.751 (95% CI:0.651-0.851)。疾病风险评分(DRS)[log2(FAM89A 表达)-log2(IFI44L 表达)]特征的接收者操作特征曲线下面积(AUC,0.825;95% CI:0.735-0.915)比由单个宿主 RNA 生成的 AUC 有所提高。DRS和C反应蛋白(CRP)水平的组合得出的AUC为0.896(95% CI:0.825-0.966)。DRS和CRP水平的最佳临界值分别为-3.18和19.80毫克/升:在区分细菌和病毒感染方面,DRS的准确性明显高于CRP水平;这两个参数的组合具有更高的灵敏度和特异性。这项研究为临床应用 FAM89A 和 IFI44L 区分病毒和细菌感染提供了有用的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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FAM89A and IFI44L for distinguishing between viral and bacterial infections in children with febrile illness.

Importance: The current lack of reliable rapid tests for distinguishing between bacterial and viral infections has contributed to antibiotic misuse.

Objective: This study aimed to develop a novel biomarker assay that integrates FAM89A and IFI44L measurements to assist in differentiating between bacterial and viral infections.

Methods: This prospective study recruited children with febrile illness from two hospitals between July 1, 2018, and June 30, 2019. A panel of three experienced pediatricians performed reference standard diagnoses of all patients (i.e., bacterial or viral infection) using available clinical and laboratory data, including a 28-day follow-up assessment. Assay operators were blinded to the reference standard diagnoses. The expression levels of FAM89A and IFI44L were determined by quantitative real-time polymerase chain reaction assessment.

Results: Of 133 potentially eligible patients with suspected bacterial or viral infection, 35 were excluded after the application of exclusion criteria. The resulting cohort included 98 patients: 59 with viral diagnoses and 39 with bacterial diagnoses. The areas under the curve (AUCs) of diagnoses using FAM89A and IFI44L were 0.694 [95% confidence interval (CI): 0.583-0.804] and 0.751 (95% CI: 0.651-0.851), respectively. The disease risk score (DRS) [log2(FAM89A expression) - log2(IFI44L expression)] signature achieved an improved area under the receiver operating characteristic curve (AUC, 0.825; 95% CI: 0.735-0.915), compared with the AUC generated from individual host RNA. A combination of the DRS and the C-reactive protein (CRP) level achieved an AUC of 0.896 (95% CI: 0.825-0.966). Optimal cutoffs for the DRS and CRP level were -3.18 and 19.80 mg/L, respectively.

Interpretation: The DRS was significantly more accurate than the CRP level in distinguishing between bacterial and viral infections; the combination of these two parameters exhibited greater sensitivity and specificity. This study provides information that could be useful for the clinical application of FAM89A and IFI44L in terms of distinguishing between viral and bacterial infections.

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来源期刊
Pediatric Investigation
Pediatric Investigation Medicine-Pediatrics, Perinatology and Child Health
CiteScore
3.30
自引率
0.00%
发文量
176
审稿时长
12 weeks
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