ArticleGMS hygiene and infection control2015
Quantitative detection of Staphylococcus aureus, Streptococcus pneumoniae and Haemophilus influenzae in patients with new influenza A (H1N1)/2009 and influenza A/2010 virus infection.
Article in GMS hygiene and infection control, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Deciphering respiratory viral infections by harnessing organ-on-chip technology to explore the gut-lung axis.Open biology · 2025Review
- Optimizing recovery of Haemophilus influenzae from vaginal-rectal specimens and determining carriage rates in pregnant women.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024Article
- Nasopharyngeal microbiome reveals the prevalence of opportunistic pathogens in SARS-CoV-2 infected individuals and their association with host types.Microbes and infection · 2022Article
- The "Microbiome": A Protagonist in COVID-19 Era.Microorganisms · 2022Article
- Evaluation of respiratory tract bacterial co-infections in SARS-CoV-2 patients with mild or asymptomatic infection in Lagos, Nigeria.Bulletin of the National Research Centre · 2022Article
- SARS-CoV-2 and immune-microbiome interactions: Lessons from respiratory viral infections.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Review
- Respiratory Viral Infection-Induced Microbiome Alterations and Secondary Bacterial Pneumonia.Frontiers in immunology · 2018Review
- Viral infections in patients with acute respiratory infection in Northwest of Iran.Molecular genetics, microbiology and virology : Molekulyarnaya genetika, mikrobiologiya i virusologiya · 2016Article
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5 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
introductionViral influenza is a seasonal infection associated with significant morbidity and mortality. In the United States more than 35,000 deaths and 200,000 hospitalizations are recorded annually due to influenza. Secondary bacterial infections or co-infections associated with cases of influenza are a leading cause of severe morbidity and mortality, especially among high-risk groups such as the elderly and young children.
aimThe aim of the present study was the quantitative detection of S. aureus, S. pneumoniae and H. influenzae in a group of patients with seasonal influenza A, influenza A (H1N1) pandemic 2009, and patients with symptoms of respiratory infection, but the negative for H1N1 serving as control group.
methodIn total, 625 patients suspected respiratory infection from April 2009 to April 2010 were studied. There were 58 patients with influenza A H1N1 and 567 patients negative for influenza A H1N1. From November 2010 to February 2011, 158 patients with respiratory symptoms were analyzed for seasonal influenza A. There were 25 patients with seasonal influenza A. To check the colonization status among the healthy individuals 62 healthy persons were further investigated. Individual were screened in parallel. The choices of special genes were amplified from clinical specimens using real-time PCR with a cutoff of 10(4) CFU/mL to differentiate colonization from infection in respiratory tract.
resultsS. aureus, S. pneumoniae and H. influenzae were detected in 12%, 26% and 33% of patients with H1N1, while the corresponding figures were 9%, 19%, and 31% for H1N1 negative patients. Among patients with seasonal influenza A 12% S. aureus, 24% S. pneumoniae, and 32% H. influenzae co-infections were detected, while influenza negative control group yielded 5% S. aureus, 11% S. pneumoniae, and 10% H. influenzae, respectively.
conclusionThe results of this study indicated that the serotype of pandemic H1N1 2009 did not increase incidence of secondary infection with S. aureus, S. pneumoniae and H. influenzae. Quantitative detection of secondary bacterial infection by QR-PCR can help us for distinguishing colonization from infection and controlling misuse of antibiotics and bacterial drug resistances.
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