ArticleFrontiers in veterinary science2021
Estimating Clinically Relevant Cut-Off Values for a High-Throughput Quantitative Real-Time PCR Detecting Bacterial Respiratory Pathogens in Cattle.
Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Bovine Respiratory Mycoplasmas and the Commensal-Pathogen Continuum: A Systematic Review of Vaccines and Diagnostic Approaches.Animals : an open access journal from MDPI · 2026Review
- Comparing Occurrence of Bovine Respiratory Pathogens Detected by High-Throughput Real-Time PCR in Nasal Swabs and Non-Endoscopic Bronchoalveolar Lavage Samples from Dairy and Veal Calves.Pathogens (Basel, Switzerland) · 2024Article
- Monitoring bovine dairy calf health and related risk factors in the first three months of rearing.Acta veterinaria Scandinavica · 2023Article
- Efficiency-corrected PCR quantification for identification of prevalence and load of respiratory disease-causing agents in feedlot cattle.Australian veterinary journal · 2022Article
- Meta-Analysis of qPCR for Bovine Respiratory Disease Based on MIQE Guidelines.Frontiers in molecular biosciences · 2022Article
- Use of Thoracic Ultrasonography to Improve Disease Detection in Experimental BRD Infection.Frontiers in veterinary science · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bovine respiratory disease (BRD) results from interactions between pathogens, environmental stressors, and host factors. Obtaining a diagnosis of the causal pathogens is challenging but the use of high-throughput real-time PCR (rtPCR) may help target preventive and therapeutic interventions. The aim of this study was to improve the interpretation of rtPCR results by analysing their associations with clinical observations. The objective was to develop and illustrate a field-data driven statistical method to guide the selection of relevant quantification cycle cut-off values for pathogens associated with BRD for the high-throughput rtPCR system "Fluidigm BioMark HD" based on nasal swabs from calves. We used data from 36 herds enrolled in a Danish field study where 340 calves within pre-determined age-groups were subject to clinical examination and nasal swabs up to four times. The samples were analysed with the rtPCR system. Each of the 1,025 observation units were classified as sick with BRD or healthy, based on clinical scores. The optimal rtPCR results to predict BRD were investigated for
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