快速流感抗原检测与PCR在流感样疾病人群中的比较研究：中国一项真实世界的多中心研究

IF 2.6 4区医学 Q3 INFECTIOUS DISEASES

Infection Genetics and Evolution Pub Date : 2025-07-07 DOI:10.1016/j.meegid.2025.105794

Tongyan Zhang , Jinghui Du , Ying Cao , Hongyan Han , Yajun Du , Yazhu Hou , Qian Du , Juan Song , Weidong Su , Jihong Feng

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引用次数: 0

摘要

本研究旨在探讨聚合酶链反应（PCR）和快速流感抗原检测（RIAT）在流感样疾病（ILI）人群中的检测差异。在中国的4个医疗中心进行了一项回顾性的真实世界研究。该研究包括所有年龄组的疑似流感患者，并接受了RIAT或PCR检测。比较两种检测方法在不同流行时期、不同病程患者、儿童与成人患者的阳性率。共检测ILI患者43402例，阳性结果17397例。PCR总阳性率高于RIAT (68.3% vs 33.8%)；然而，在流感季节开始和结束时，两种方法之间没有差异。儿童RIAT阳性率（37.9%）高于成人（27.2%），成人PCR阳性率（72.8%）高于儿童（59.5%）。RIAT阳性率在早期（≤2 d）高于晚期，PCR阳性率在1-3 d高于其他时间。

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Comparative study of rapid influenza antigen tests versus PCR in an influenza-like illness population: A real-world multicenter study in China

This study aimed to explore the differences in detection between polymerase chain reaction (PCR) and rapid influenza antigen test (RIAT) in a population with influenza-like illness (ILI). A retrospective real-world study was conducted at 4 medical centers in China. The study included patients of all age groups who were suspected of having influenza and who underwent either RIAT or PCR testing. The positive detection rates of the two testing methods were compared during different epidemic periods, among patients with different disease durations, and between pediatric and adult patients. A total of 43,402 patients with ILI were tested, and 17,397 had positive results. The overall positive rate of PCR was higher than that of RIAT (68.3 % vs 33.8 %); however, there was no difference between the two methods during the start and end of the influenza season. The positive rate of RIAT in children (37.9 %) was higher than that in adults (27.2 %), whereas the positive rate of PCR in adults (72.8 %) was higher than that in children (59.5 %). The positive rate of RIAT was greater in the early stage (≤2 days) than in the later stage, whereas the positive rate of PCR was greater at 1–3 days than at other times.

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来源期刊

Infection Genetics and Evolution 医学-传染病学

CiteScore

8.40

自引率

0.00%

发文量

215

审稿时长

82 days

期刊介绍： (aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID) Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance. However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors. Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases. Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .