Respiratory Pathogen Co-Detection in Hospitalised Cats: A Molecular and Clinical Study in a Biological Isolation and Containment Unit

Respiratory disease is a common cause of hospitalisation in cats and may involve the detection of multiple respiratory pathogens. However, the frequency and patterns of respiratory pathogen co-detection in hospitalised cats, and the clinical characteristics associated with multiple pathogen detection, remain poorly characterized. This study characterised the co-occurrence of respiratory pathogens in 150 cats admitted to a Biological Isolation and Containment Unit between March 2023 and May 2024 using singleplex and multiplex real-time PCR assays targeting SARS-CoV-2 and bacterial, fungal and viral respiratory pathogens, respectively. Pairwise respiratory pathogen co-detection patterns were characterised using a co-detection matrix, and multiple logistic regression was performed to identify factors independently associated with multiple respiratory pathogen detection. A total of 189 respiratory pathogen detections were recorded. Pasteurella multocida was the most frequently detected microorganism (n = 118; 78.7%), followed by Mycoplasma felis (n = 29; 19.3%). Multiple respiratory pathogen detection occurred in 48 out of 150 cats (32.0%) and was independently associated with feline respiratory disease complex as the primary reason for admission and infectious disease classification at admission. Pasteurella multocida was the microorganism most frequently involved in pairwise respiratory pathogen co-detections. These findings provide baseline molecular and clinical data to support further epidemiological investigations in hospitalised feline populations.

Authors

Institutions

Publication Details

Journal
Veterinary Sciences
Published
2026-10-28
DOI
https://doi.org/10.3390/vetsci13111153
Primary Topic
Microbial infections and disease research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Respiratory Pathogen Co-Detection in Hospitalised Cats: A Molecular and Clinical Study in a Biological Isolation and Containment Unit

Luís M. Tavares, Solange Gil, Joana Fernandes Guerreiro, Virgílio Almeida et al.
3 links
Veterinary Sciences
Microbial infections and disease research
article

Respiratory Pathogen Co-Detection in Hospitalised Cats: A Molecular and Clinical Study in a Biological Isolation and Containment Unit

Luís M. Tavares, Solange Gil, Joana Fernandes Guerreiro, Virgílio Almeida, Francisco Vilar, Nuno Sepúlveda, Miguel Maximino, Sofia Sirage
article en

Abstract

Respiratory disease is a common cause of hospitalisation in cats and may involve the detection of multiple respiratory pathogens. However, the frequency and patterns of respiratory pathogen co-detection in hospitalised cats, and the clinical characteristics associated with multiple pathogen detection, remain poorly characterized. This study characterised the co-occurrence of respiratory pathogens in 150 cats admitted to a Biological Isolation and Containment Unit between March 2023 and May 2024 using singleplex and multiplex real-time PCR assays targeting SARS-CoV-2 and bacterial, fungal and viral respiratory pathogens, respectively. Pairwise respiratory pathogen co-detection patterns were characterised using a co-detection matrix, and multiple logistic regression was performed to identify factors independently associated with multiple respiratory pathogen detection. A total of 189 respiratory pathogen detections were recorded. Pasteurella multocida was the most frequently detected microorganism (n = 118; 78.7%), followed by Mycoplasma felis (n = 29; 19.3%). Multiple respiratory pathogen detection occurred in 48 out of 150 cats (32.0%) and was independently associated with feline respiratory disease complex as the primary reason for admission and infectious disease classification at admission. Pasteurella multocida was the microorganism most frequently involved in pairwise respiratory pathogen co-detections. These findings provide baseline molecular and clinical data to support further epidemiological investigations in hospitalised feline populations.

Veterinary SciencesVol. 13(11)
Warsaw University of Technology (PL), University of Lisbon (PT), Centro de Investigação Interdisciplinar em Sanidade Animal (PT), Centro de Estatística e Aplicações (PT)
Good health and well-being
Openalex Percentile: Top 14%
Microbial infections and disease research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon