Evidence map›Paper›PMID 39838340›Full record

ArticleBMC infectious diseases2025

A new pathogen pattern of acute respiratory tract infections in primary care after COVID-19 pandemic: a multi-center study in southern China.

Heng Zhang, Deqi Meng, Hao Huang, Longhao Feng, Yushao Li, Yong Jiang, Ling Wang, Ruoyu Deng, Yuchun Sun, Binqin Chen and 13 more

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Heng Zhang *Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital, the Second Clinical Medical College, Jinan University; the First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, 518001, China.
Deqi Meng *Nanling Community Health Service Center, the Fourth People's Hospital of Shenzhen Longgang District, Shenzhen, 518001, China.
Hao Huang *Community Health Management Office, Longgang District Sixth People's Hospital, Shenzhen, 518001, China.
Longhao FengNanling Community Health Service Center, the Fourth People's Hospital of Shenzhen Longgang District, Shenzhen, 518001, China.
Yushao LiNanlian Community Health Service Center, Shenzhen Longgang Central Hospital, Shenzhen, 518001, China.
Yong JiangDepartment of Respiratory Medicine, Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, 518001, China.
Ling WangMaanshan Community Health Service Center, Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, 518001, China.
Ruoyu DengMinle Community Health Service Center, the People's Hospital of Longhua Shenzhen, Shenzhen, 518001, China.
Yuchun SunBuchong Community Health Service Center, Shenzhen Integrated Traditional Chinese and Western Medicine Hospital, Shenzhen, 518001, China.
Binqin ChenJingxin Community Health Service Station, Shenzhen Hospital(Futian) of Guangzhou University of Chinese Medicine, Shenzhen, 518001, China.
Fuzhao LiaoJulong Garden Community Health Service Center, Shenzhen Pingle Orthopedics Hospital (Pingshan District Traditional Chinese Medicine Hospital), Shenzhen, 518001, China.
Yumei WuYadi Sancun Community Health Service Center, Shenzhen Pingle Orthopedics Hospital (Pingshan District Traditional Chinese Medicine Hospital), Shenzhen, 518001, China.
Huancai ZhengTiandong Community Health Service Center, Yantian District People's Hospital, Shenzhen, 518001, China.
Junling DingSanxigaoyuan Community Health Service Center, Shenzhen Dapeng New District Medical and Health Group, Shenzhen, 518001, China.
Maokun ChenLiantang Subdistrict Community Health Center, Shenzhen Luohu Hospital Group, Shenzhen, 518001, China.
Cui ZengUniversity Town East Community Health Service Center, Shenzhen Nanshan Medical Group Headquarters, Shenzhen, 518000, China.
Wanting ZhaoLongwei Community Health Service Center, the Second People's Hospital of Futian District Shenzhen, Shenzhen, 518000, China.
Meng HouKuichong Community Health Service Center, Kuichong People's Hospital, Shenzhen, 518000, China.
Yinyan LiXiaomeisha Community Health Service Center, Shenzhen Yantian District People's Hospital, Shenzhen, 518000, China.
Zhishen LiCuizhu Community Health Service Center, Shenzhen Luohu Hospital Group, Shenzhen, 518001, China.
Haibo XiaXinwei Community Health Service Center, Shenzhen Nanshan Medical Group Headquarters, Shenzhen, 518000, China.
Kai YangDepartment of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital, the Second Clinical Medical College, Jinan University; the First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, 518001, China. yang.kai@szhospital.com.
Lingwei WangDepartment of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital, the Second Clinical Medical College, Jinan University; the First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, 518001, China. wang.lingwei@szhospital.com.

Funding

Five-Three Project of the Shenzhen People's Hospital SYWGSLCYJ202301Major Project of Guangzhou National Laboratory GZNL2024A02003Shenzhen Medical Academy of Research and Translation C2302001
6 · The paper itself

Abstract

backgroundAfter the coronavirus disease 2019 (COVID-19) pandemic, no studies on bacterial and atypical pathogens were conducted in primary care. We aimed to describe the etiological composition of acute respiratory tract infections (ARTIs) presenting to primary care with limited resources after the pandemic.

methods1958 adult patients with ARTIs from 17 primary care clinics were recruited prospectively from January 2024 to March 2024. 17 and 62 pathogens in throat swab samples were tested using polymerase chain reaction (PCR) and targeted next-generation sequencing (tNGS), respectively. We analyzed the pathogen spectrum and co-infectious pattern of viral, bacterial or atypical pathogens. Then, the associations between clinical characteristics and pathogens were investigated.

resultsIn PCR test, the positive rate of any pathogens was 80.3%, consisting of 60.2% for viruses, 41.8% for bacteria and 21.7% for viral-bacterial co-infection. In tNGS test, the positive rate was 89.1%, consisting of 64.7% for viruses, 55.2% for bacteria and 30.9% for viral-bacterial co-infection. Influenza virus B (18.2%), influenza virus A (16.8%) and severe acute respiratory syndrome coronavirus 2 (14.1%) were the three leading viral pathogens, and H. influenzae (36.1%), S. anginosus (15.7%) and S. pneumoniae (8.4%) were the three leading bacterial pathogens. Few M. pneumoniae (1.6%) were detected. The mixed bacterial or mixed viral-bacterial co-infections were the most common co-infectious patterns. The mixed bacterial or mixed viral-bacterial co-infections were the most common co-infectious patterns. Overall, patients with viral infection or viral-bacterial co-infection had more clinical symptoms, and patients with bacterial infection had higher inflammatory indicators.

conclusionsAfter the COVID-19 pandemic, the main viral pathogens of ARTIs were unevenly distributed, and less bacterial and atypical pathogens were detected in primary care. The microbiological evidences can optimize the precision diagnosis and treatment of ARTIs in primary care with limited resources.

Indexed as

COVID-19Primary Health CareRespiratory Tract InfectionsAdultAgedBacteriaBacterial InfectionsChinaCoinfectionFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedProspective StudiesSARS-CoV-2Bacterial infectionsCoinfectionPandemicsPrimary health careRespiratory tract infectionsVirus infections

Identifiers

PMID39838340
PMCPMC11752659

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.