ArticleBMC infectious diseases2020
Pathogen analysis of pertussis-like syndrome in children.
Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Identifying the irrationality of the diagnosis of "pertussis-like syndrome" to enhance diagnostic accuracy.Microbiology spectrum · 2025Article
- Establishment of a rapid Bordetella pertussis detection method based on RPA-CRISPR-Cas12a technology.Archives of microbiology · 2025Article
- Beyond Passive Immunity: Three Neonatal Influenza Cases Highlighting Impact of Missed Maternal Vaccination.Clinics and practice · 2025Article
- Efficacy and Safety of Combined Treatment with Traditional Herbal Medicine and Western Medicine for Children with Pertussis-like Syndrome: Systematic Review and Meta-Analysis.Healthcare (Basel, Switzerland) · 2025Review
- Population-Based Study of Pertussis Incidence and Risk Factors among Persons >50 Years of Age, Australia.Emerging infectious diseases · 2024Observational
- Prevalence and Outpatient Clinical Diagnostic Approaches for Common Acute Respiratory Tract Infections in Children Under Five Years of Age: A Cross-Sectional Study.Pediatric health, medicine and therapeutics · 2024Article
- Pertussis-like Syndrome Caused by Acinetobacter pittii ST119.Indian journal of pediatrics · 2023Article
- Global research trends ofFrontiers in pediatrics · 2023Review
- Article
- Clinical evaluation of a new rapid immunochromatographic test for detection of Bordetella pertussis antigen.Scientific reports · 2022Article
- Molecular epidemiology of Bordetella pertussis and analysis of vaccine antigen genes from clinical isolates from Shenzhen, China.Annals of clinical microbiology and antimicrobials · 2021Article
- Virus Coinfection is a Predictor of Radiologically Confirmed Pneumonia in Children with Bordetella pertussis Infection.Infectious diseases and therapy · 2021Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe aim of the study was to identify the pathogens, in addition to bordetella pertussis (B. pertussis), which cause pertussis-like syndrome in children and to compare clinical presentation between those with B. pertussis and pertussis-like syndrome.
methodsA cross-sectional analysis was conducted from March 2016 to September 2018. In total, 281 children with suspected pertussis infections were enrolled in this study. Multi-pathogen detection was performed.
resultsIn total, 281 children were enrolled including 139 males and 142 females. Among them, 149 (53.0%) were B. pertussis positive, and 72 (15.6%) children tested positive for other pathogens. Mycoplasma pneumoniae (MP, 27 cases) was the most common causative pathogen in pertussis-like syndrome, followed by human rhinovirus (HRV, 23 cases), Streptococcus pneumoniae (SP, 13 cases), Haemophilus influenzae (HI, 12 cases) and parainfluenza virus 3 (Pinf-3, 9 cases). Children in the B. pertussis group had a higher rate of vaccination and longer hospital stay (P < 0.05). B. pertussis was more likely to be detected in winter than other pathogens, but this difference was not significant (P = 0.074). The number of white blood cells, neutrophils and blood platelets was significantly higher in children in the B. pertussis than in the pertussis-like group (P < 0.05). In addition, the percentage of CD3-CD19+ cells was significantly higher in the B. pertussis group (P = 0.018).
conclusionAbout half of the children with pertussis-like syndrome were B. pertussis positive. MP was the second most common causative pathogen followed by HRV, SP, HI and Pinf-3. Children infected with B. pertussis had longer hospital stay and higher numbers of white blood cells, neutrophil and blood platelets compared with other pathogens.
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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.