Diagnosis of respiratory disease in preweaned dairy calves using sequential thoracic ultrasonography and clinical respiratory scoring: Temporal transitions and association with growth rates.

average daily gain body weight bovine clinical respiratory score dairy calf preweaning respiratory disease thoracic ultrasonography

Journal

Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 22 01 2021
accepted: 23 05 2021
pubmed: 20 7 2021
medline: 24 9 2021
entrez: 19 7 2021
Statut: ppublish

Résumé

Bovine respiratory disease (BRD) in dairy calves is a multifactorial condition, involving environmental, host, and pathogen factors. Thoracic ultrasound scoring (TUS) has recently been validated as an accurate method of detecting BRD-related lung pathology in dairy calves. Previous studies investigating the use of TUS in preweaned dairy calves have largely been based on cross-sectional data from all-year production systems. The objectives of this longitudinal observational study were to characterize the temporal transitions in TUS scores in dairy calves from pasture-based, seasonal-calving herds using sequential examinations during the preweaning period, and to investigate the relationship between the presence and temporal pattern of BRD, diagnosed by TUS or clinical respiratory scoring (CRS), and average daily gain (ADG). In spring of 2019, 317 preweaned calves from 7 commercial dairy farms were recruited at less than 4 wk old (ranging from 1-27 d of age). Each farm was examined on at least 3 occasions at 20- to 28-d intervals and housed indoors in group or individual pens. At each visit TUS scores, CRS scores based on the University of Wisconsin Calf Respiratory Score Chart (https://www.vetmed.wisc.edu/fapm/wp-content/uploads/2020/01/calf_respiratory_scoring_chart.pdf), and live weight using a dairy breed-specific weigh band were recorded. All data were recorded by the same 2 veterinarians over the course of the study. The final data set consisted of 966 TUS and CRS scores collected from 317 calves over a period of approximately 6 wk from 7 farms. The data were analyzed in multivariable, mixed effects, linear regression models, with separate models constructed for TUS and CRS scores. Random effects (intercepts) were included for calf, farm, and visit week. Additionally, a random slope was included for age at sampling by farm. Median farm TUS score ranged from 0 to 2.5 over the 3 visits (possible range: 0-5). The percentage of calves with a TUS score ≥3 (consolidation of the full thickness of 1 lung lobe), on each farm ranged from 0 to 50%. The median CRS in calves on individual farms ranged from 1 to 3 over the 3 visits (possible range: 0-12). The percentage of calves on each farm with a CRS score ≥5 (possible range: 0-12) ranged from 0 to 26%. The TUS and CRS scores were weakly correlated. The TUS was associated with reduced ADG. Calves with TUS scores ≥3 grew at 126 g/d less than unaffected calves over the 3-wk period before examination. The predicted effect on ADG was dependent on the age and duration over which the animal was affected. Calves affected later (i.e., between visits 2 and 3) had lower predicted weights at 63 d compared with calves with increased TUS scores earlier in the study period. Calves with a TUS score ≥3 at each of the 3 sampling points had the lowest weight at 63 d of age. There was no association of CRS with ADG. This study showed that in contrast to CRS, higher TUS scores are associated with lower ADG, with weight loss being more pronounced in chronic cases.

Identifiants

pubmed: 34275625
pii: S0022-0302(21)00740-2
doi: 10.3168/jds.2021-20207
pii:
doi:

Types de publication

Journal Article Observational Study Observational Study, Veterinary

Langues

eng

Sous-ensembles de citation

IM

Pagination

11165-11175

Informations de copyright

Copyright © 2021 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Auteurs

Victoria Rhodes (V)

Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Dublin, Ireland D04 W6F6. Electronic address: vicki.rhodes@ucdconnect.ie.

Eoin G Ryan (EG)

Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Dublin, Ireland D04 W6F6.

Ciara J Hayes (CJ)

Department of Agriculture Food and the Marine, Cork Regional Veterinary Laboratory, 53 Model Farm Road, Cork, Ireland T12YH6E.

Catherine McAloon (C)

Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Dublin, Ireland D04 W6F6.

Luke O'Grady (L)

Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Dublin, Ireland D04 W6F6; School of Veterinary medicine and Science, University of Nottingham, Nottingham, United Kingdom LE12 5RD.

Seamus Hoey (S)

Section of Diagnostic Imaging, School of Veterinary Medicine, University College Dublin, Belfield, Dublin, Ireland D04 W6F6.

John F Mee (JF)

Animal and Bioscience Research Department, Teagasc, Moorepark Research Centre, Fermoy, Co. Cork, Ireland P61 C997.

Bart Pardon (B)

Department of Large Animal Internal Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke 9820, Belgium.

Bernadette Earley (B)

Teagasc, Animal and Grassland Research and Innovation Centre, Grange, Dunsany, Co. Meath, Ireland C15 PW93.

Conor G McAloon (CG)

Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Dublin, Ireland D04 W6F6.

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