Evidence map›Paper›PMID 42300833›Full record

ArticleMicrobiology spectrum2026

High prevalence and clinical impact of microbial co-detection in hospitalized children with human parainfluenza virus type 1.

Chunyun Fu, Xiaoying Chen, Lishai Mo, Junming Lu, Ya Huang, Jiangyang Zhao, Yuanyuan He, Juan Lin, Yanqing Tang, Shang Yi and 3 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Chunyun Fu *Medical Science Laboratory, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.ORCID 0000-0001-5302-3845
Xiaoying Chen *Medical Science Laboratory, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.ORCID 0009-0001-6352-0949
Lishai Mo *Medical Science Laboratory, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.
Junming LuMedical Science Laboratory, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.
Ya HuangDepartment of Pediatric Respiratory Medicine, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.
Jiangyang ZhaoMedical Science Laboratory, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.ORCID 0009-0002-7728-768X
Yuanyuan HeDepartment of Pediatric Respiratory Medicine, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.
Juan LinDepartment of Pediatric Respiratory Medicine, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.
Yanqing TangDepartment of Genetic Metabolism, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.
Shang YiDepartment of Genetic Metabolism, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.
Hao WeiDepartment of Genetic Metabolism, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.
Xuehua HuMedical Science Laboratory, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.ORCID 0009-0007-3716-1456
Jie TanDepartment of Pediatric Respiratory Medicine, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.ORCID 0009-0004-9673-0354

Funding

Guangxi Clinical Key Specialty (Laboratory Medicine) ProjectGuangxi Health Commission Self-Financing Project Z-A20220257Guangxi Medical and Health Appropriate Technology Development and Promotion Application Project S2024082Nanning Science and Technology Base Special Project 20233071
6 · The paper itself

Abstract

Human parainfluenza virus type 1 (HPIV-1) is an important but underrecognized pathogen associated with acute respiratory infections (ARI) in children, although its clinical impact remains poorly defined, particularly with microbial co-detection. This study enrolled hospitalized children with ARI who underwent targeted next-generation sequencing (tNGS). Clinical features were compared between HPIV-1 mono-detection and co-detection groups, as well as between patients with severe and non-severe pneumonia. Among 9,394 enrolled children, HPIV-1 was detected in 1.7%, predominantly in those aged 6 months to 2 years. Co-detection with other respiratory pathogens was observed in 95.7% of HPIV-1-positive cases, with viral-bacterial co-infection being the most common pattern. IMPORTANCE: Human parainfluenza virus type 1 (HPIV-1) is an underrecognized contributor to pediatric acute respiratory infections (ARI), yet its clinical impact remains unclear, particularly regarding co-detection with other microbes. Based on targeted next-generation sequencing (tNGS), this study demonstrates that HPIV-1 detection in hospitalized children with ARI is characterized by a high rate of microbial co-detection, which is associated with greater disease severity. Elevated inflammatory markers (procalcitonin [PCT] and erythrocyte sedimentation rate [ESR]), prolonged fever, complication occurrence, and need for respiratory support serve as key predictors of progression to severe pneumonia in these children. These findings offer important clinical evidence to support the development of a predictive model for severe pneumonia in HPIV-1-positive children and provide valuable guidance for optimizing diagnostic and therapeutic strategies for HPIV-1-associated respiratory infections.

Indexed as

CoinfectionParainfluenza Virus 1, HumanRespiratory Tract InfectionsRespirovirus InfectionsBacteriaChildChild, HospitalizedChild, PreschoolFemaleHigh-Throughput Nucleotide SequencingHospitalizationHumansInfantMalePrevalenceacute respiratory infectionchildrenco-detectionhuman parainfluenza virus type 1tNGS

Identifiers

PMID42300833
PMCPMC13340285

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Registered trials

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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.