Evidence map›Paper›PMID 41210881›Full record

ArticleFrontiers in medicine2025

Respiratory infections in the post-COVID-19 era: impact, prevalence, and clinical characteristics of bacterial and viral co-infections.

I Trifonova, N Korsun, V Levterova, D Pavlova, I Simeonovski, M Ivanova, P Velikov, S Voleva, I Ivanov, D Ivanov and 4 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

14 authors.

I TrifonovaNational Laboratory "Influenza and ARD", Department of Virology, National Centre of Infectious and Parasitic Diseases, Sofia, Bulgaria.
N KorsunNational Laboratory "Influenza and ARD", Department of Virology, National Centre of Infectious and Parasitic Diseases, Sofia, Bulgaria.
V LevterovaNational Laboratory "Influenza and ARD", Department of Virology, National Centre of Infectious and Parasitic Diseases, Sofia, Bulgaria.
D PavlovaNational Laboratory "Influenza and ARD", Department of Virology, National Centre of Infectious and Parasitic Diseases, Sofia, Bulgaria.
I SimeonovskiNational Laboratory "Influenza and ARD", Department of Virology, National Centre of Infectious and Parasitic Diseases, Sofia, Bulgaria.
M IvanovaNational Laboratory "Influenza and ARD", Department of Virology, National Centre of Infectious and Parasitic Diseases, Sofia, Bulgaria.
P VelikovInfectious Disease Hospital "Prof. Ivan Kirov", Department for Infectious Diseases, Parasitology and Tropical Medicine, Medical University of Sofia, Sofia, Bulgaria.
S VolevaInfectious Disease Hospital "Prof. Ivan Kirov", Department for Infectious Diseases, Parasitology and Tropical Medicine, Medical University of Sofia, Sofia, Bulgaria.
I IvanovInfectious Disease Hospital "Prof. Ivan Kirov", Department for Infectious Diseases, Parasitology and Tropical Medicine, Medical University of Sofia, Sofia, Bulgaria.
D IvanovInfectious Disease Hospital "Prof. Ivan Kirov", Department for Infectious Diseases, Parasitology and Tropical Medicine, Medical University of Sofia, Sofia, Bulgaria.
T DakovInfectious Disease Hospital "Prof. Ivan Kirov", Department for Infectious Diseases, Parasitology and Tropical Medicine, Medical University of Sofia, Sofia, Bulgaria.
T TcherveniakovaInfectious Disease Hospital "Prof. Ivan Kirov", Department for Infectious Diseases, Parasitology and Tropical Medicine, Medical University of Sofia, Sofia, Bulgaria.
S AngelovaClinical Virology Laboratory, University Hospital "Prof. Dr. Stoyan Kirkovich," Trakia University, Stara Zagora, Bulgaria.
I ChristovaNational Laboratory "Influenza and ARD", Department of Virology, National Centre of Infectious and Parasitic Diseases, Sofia, Bulgaria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Humans are affected by respiratory infections globally, originating from both bacterial and viral agents. However, the pathogens responsible for respiratory tract infections and the specific effects of viral-viral, viral-bacterial, and bacterial-bacterial co-infections on disease progression and clinical outcomes remain unclear. Тhis study aimed to determine the prevalence, estimate the age burden, and provide clinical characteristics of mono- and co-infections involving various bacterial and viral co-pathogens. Methods: A total of 609 nasopharyngeal specimens were collected from outpatients and hospitalized patients with respiratory symptoms between April and December 2024. The specimens were analyzed using an in-house multiplex real-time polymerase chain reaction method. Six separate primer and probe mixtures were prepared to detect 15 respiratory viruses and 5 common bacterial respiratory pathogens. Results: This study, conducted over an 8-month period, found that 65.7% of the patients (400) had at least one respiratory pathogen, with viral infections (49.2%) being more common than bacterial infections (16.5%). Infections were categorized as follows: Viral mono-infections: 217 cases (35.6%); Bacterial-bacterial co-infections: 6 cases (1%); Viral-viral co-infections: 39 cases (6.4%); and Bacterial-viral co-infections: 87 cases (34.3%). Common pathogens causing mono- and co-infections included SARS-CoV-2, rhinovirus, influenza A/B, bocavirus, adenovirus, Conclusion: This study identified SARS-CoV-2, rhinoviruses, adenoviruses, and

Indexed as

clinical characteristicsco-infectionCOVID-19respiratory infectionsrespiratory virusSARS-CoV-2Streptococcus pneumoniae

Identifiers

PMID41210881
PMCPMC12589918

What OpenQuestion holds

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LicenceCC BY
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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.