Evidence map›Paper›PMID 40573446›Full record

ArticleViruses2025

The Seroprevalence of Influenza A Virus Infections in Polish Cats During a Feline H5N1 Influenza Outbreak in 2023.

Anna Golke, Tomasz Dzieciątkowski, Olga Szaluś-Jordanow, Michał Czopowicz, Lucjan Witkowski, Monika Żychska, Ewa Domańska, Dawid Jańczak, Tomasz Nalbert, Stephanie Lesceu and 3 more

Abstract read
In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Anna GolkeDepartment of Preclinical Sciences, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Ciszewskiego 8, 02-786 Warsaw, Poland.ORCID 0000-0002-2818-8506
Tomasz DzieciątkowskiChair and Department of Medical Microbiology, Medical University of Warsaw, Chałubińskiego 5, 02-004 Warsaw, Poland.
Olga Szaluś-JordanowDepartment of Small Animal Diseases with Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.
Michał CzopowiczDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.ORCID 0000-0002-4238-8360
Lucjan WitkowskiDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.ORCID 0000-0003-1069-3384
Monika ŻychskaDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.ORCID 0000-0001-9796-7784
Ewa DomańskaDepartment of Food Hygiene and Public Health Protection, Faculty of Veterinary Medicine, University of Life Sciences-SGGW, Nowoursynowska 159, 02-776 Warsaw, Poland.
Dawid JańczakDepartment of Infectious and Invasive Diseases and Veterinary Administration, Institute of Veterinary Medicine, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University, 87-100 Toruń, Poland.ORCID 0000-0002-0845-0810
Tomasz NalbertDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.
Stephanie LesceuInnovative Diagnostics, Avian Department, 34790 Grabels, France.
Marzena PaszkowskaVetlab sp. z o.o., Wodzisławska 6, 52-017 Wrocław, Poland.
Justyna GiergielewiczVetlab sp. z o.o., Wodzisławska 6, 52-017 Wrocław, Poland.
Tadeusz FrymusDepartment of Small Animal Diseases with Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.ORCID 0000-0002-9160-1455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, cats have emerged as potential incidental hosts for avian and human influenza A viruses (IAVs), including the highly pathogenic avian influenza (HPAI) H5N1 virus. Following an unprecedented outbreak of H5N1 HPAI in cats in Poland in June 2023, we conducted a cross-sectional epidemiological study to assess the seroprevalence of IAV, especially H5Nx, infections in domestic cats. Eight hundred thirty-five serum samples collected in June 2023 were tested using a competitive ELISA for antibodies to IAV nucleoprotein. Positive or doubtful samples were further screened for H5-specific antibodies. The overall seropositivity for IAV was 8.5% (CI 95%: 6.8%, 10.6%; 71/835 cats), and 23/68 IAV-seropositive cats (33.8%) were also seropositive for H5 antigen. Multivariable analysis identified young age (≤8 years) and male sex as significant risk factors for H5 seropositivity, while non-H5-IAV seropositivity was more common in cats aged ≥12 years. These findings suggest different exposure pathways and host risk profiles for H5 and non-H5 IAVs and underscore the importance of enhanced surveillance in cats, particularly in regions affected by HPAI outbreaks. Given the susceptibility of cats to both avian and human IAVs, including subclinical infections, there is a theoretical risk for viral reassortment. Preventive measures, including vaccinating humans and restricting outdoor access for cats, should be considered in endemic areas.

Indexed as

Cat DiseasesDisease OutbreaksInfluenza A Virus, H5N1 SubtypeOrthomyxoviridae InfectionsAnimalsAntibodies, ViralCatsCross-Sectional StudiesFemaleInfluenza A virusMalePolandRisk FactorsSeroepidemiologic StudiesAntibodies, Viraldomestic catshighly pathogenic avian influenza (HPAI) H5N1influenza A virus (IAV)seroprevalenceviral reassortment

Identifiers

PMID40573446
PMCPMC12197795

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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.