Evidence map›Paper›PMID 41315120›Full record

ArticleEuropean journal of pediatrics2025

Early and rapid prediction of severe Human Bocavirus 1 pneumonia in children: an age-stratified Nomogram Model based on admission data.

Zixuan Wang, Xinxin Chen, Diwei Wei, Zhen Xu, Wen Yu, Yuerong Wang, Yongsheng Xu, Tongqiang Zhang, Wei Guo

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Article in European journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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9 authors.

Zixuan Wang *Department of Respiratory, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin, China.
Xinxin Chen *Department of Respiratory, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin, China.
Diwei WeiDepartment of Respiratory, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin, China.
Zhen XuDepartment of Respiratory, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin, China.
Wen YuDepartment of Respiratory, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin, China.
Yuerong WangDepartment of Respiratory, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin, China.
Yongsheng XuDepartment of Respiratory, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin, China.
Tongqiang ZhangDepartment of Respiratory, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin, China.
Wei GuoDepartment of Respiratory, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin Pediatric Research Institute, Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin, China. guowei79656@126.com.ORCID http://orcid.org/0000-0002-7794-331X

Funding

the Second Batch of High-level Talents in the Health Industry in Tianjin (Young Medical Advanced) TJSQNYXXR-D2-115Tianjin Natural Science Foundation 21JCYBJC00460
6 · The paper itself

Abstract

This study aims to identify independent risk factors for severe Human Bocavirus 1(HBoV1) pneumonia in children across different age groups and to develop reliable age-stratified nomogram models based on early admission data for the rapid prediction of disease progression and severity. A total of 370 children with HBoV1 pneumonia hospitalized at Tianjin Children's Hospital from September 2022 to August 2024 were retrospectively analyzed. Patients were divided into three age groups for analysis: Group 1 (< 24 months), Group 2 (24-47 months), and Group 3 (≥ 48 months). Multivariate logistic regression was used to identify independent risk factors. Of 370 HBoV1 pneumonia cases, severe pneumonia occurred in 145 (39.2%), with the highest incidence in Group 3 (50.6%, 42/83) versus 37.7% (43/114) and 34.7% (60/173) in other groups. For Group 1, the prediction model included BMI, maximum temperature before admission, pleural thickening, CK, CKMB, and IL-6. For Group 2, the key predictors were history of eczema, pleural thickening, and N%. For Group 3, the model incorporated L%, ALB, CK, C3, and Absolute CD3 Cell Count. The areas under the ROC curve for the three age-specific models were 0.819 (95% CI: 0.7405-0.8978), 0.729 (95% CI: 0.652-0.8064), and 0.801 (95% CI: 0.7064-0.8952), respectively. The decision curve analysis curve demonstrated outstanding net benefit. The C-index values in each group were respectively 0.791, 0.727, and 0.768.

conclusionThis study develops age-stratified prediction models for severe human bocavirus 1 pneumonia in children based on early admission data. Nomograms for all three age groups exhibited good calibration performance and demonstrated clinical applicability. WHAT IS KNOWN: • Human Bocavirus 1 (HBoV1) is a significant respiratory pathogen in children, capable of causing pneumonia with varying severity, from mild to life-threatening. • Age is a key predictor of severe pneumonia in children. WHAT IS NEW: • The clinical manifestations and laboratory findings in children with Human Bocavirus 1 pneumonia exhibit age-specific characteristics. • Based on early admission data, this study developed age-stratified prediction models for severe Human Bocavirus 1 pneumonia in children, which demonstrated good performance.

Indexed as

Human bocavirusNomogramsParvoviridae InfectionsPneumonia, ViralAge FactorsChildChild, PreschoolChinaFemaleHospitalizationHumansInfantMaleRetrospective StudiesRisk FactorsSeverity of Illness IndexAge-stratifiedChildrenHuman Bocavirus 1 pneumoniaNomogramSevere pneumonia

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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.