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Clarifying dairy calf mortality phenotypes through postmortem analysis
Health problems can be thought of as phenotypic expressions of the complex relationships between genes, environments, and phenomes as a whole. Detailed evaluations of phenotypic expressions of illness are required to characterize important biological outcomes. We hypothesized that classifying dairy...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Dairy Science Association®.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7094407/ https://www.ncbi.nlm.nih.gov/pubmed/30879809 http://dx.doi.org/10.3168/jds.2018-15527 |
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author | McConnel, C.S. Nelson, D.D. Burbick, C.R. Buhrig, S.M. Wilson, E.A. Klatt, C.T. Moore, D.A. |
author_facet | McConnel, C.S. Nelson, D.D. Burbick, C.R. Buhrig, S.M. Wilson, E.A. Klatt, C.T. Moore, D.A. |
author_sort | McConnel, C.S. |
collection | PubMed |
description | Health problems can be thought of as phenotypic expressions of the complex relationships between genes, environments, and phenomes as a whole. Detailed evaluations of phenotypic expressions of illness are required to characterize important biological outcomes. We hypothesized that classifying dairy calf mortality phenotypes via a systematic postmortem analysis would identify different cause-of-death diagnoses than those derived from treatments alone. This cross-sectional study was carried out on a dairy calf ranch in the northwestern United States from June to September 2017 and focused on calves ≤90 d of age. Comparisons were made between causes of death based on 3 levels of information: on-farm treatment records alone, necropsy-based postmortem analyses in addition to treatment records, and Washington Animal Disease Diagnostic Laboratory (WADDL) results in addition to all other information. A total of 210 dairy calves were necropsied during this study, of which 122 cases were submitted to WADDL. Necropsy- and WADDL-derived mortality phenotypes were in almost perfect agreement (Cohen's κ = 0.86) when broadly categorized as diarrhea, respiratory, diarrhea and respiratory combined, or other causes. The level of agreement between on-farm treatment records and postmortem-derived results was low and varied by the level of diagnostic detail provided. There was just fair agreement (κ = 0.22) between treatment-based and necropsy-based phenotypes without WADDL input and only slight agreement (κ = 0.13) between treatment-based and corresponding necropsy-based phenotypes with WADDL input. Even for those cases in which causes of death aligned along a comparable pathologic spectrum, the lack of detail inherent to standard treatment-based causes of death failed to identify meaningful target areas for intervention. This was especially apparent for numerous cases of necrotizing enteritis and typhlitis (cecal inflammation) that were variously categorized as diarrhea and pneumonia by treatment-based diagnoses. The specificity of these lesions stood in stark contrast to the otherwise generic cause of death diagnoses derived from treatments. The findings from this study supported the hypothesis and highlighted the value of on-farm necropsies and laboratory-based diagnostics to (1) detect antemortem disease misclassifications, (2) provide detail regarding disease processes and mortality phenotypes, and (3) direct disease mitigation strategies. |
format | Online Article Text |
id | pubmed-7094407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Dairy Science Association®. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70944072020-03-25 Clarifying dairy calf mortality phenotypes through postmortem analysis McConnel, C.S. Nelson, D.D. Burbick, C.R. Buhrig, S.M. Wilson, E.A. Klatt, C.T. Moore, D.A. J Dairy Sci Article Health problems can be thought of as phenotypic expressions of the complex relationships between genes, environments, and phenomes as a whole. Detailed evaluations of phenotypic expressions of illness are required to characterize important biological outcomes. We hypothesized that classifying dairy calf mortality phenotypes via a systematic postmortem analysis would identify different cause-of-death diagnoses than those derived from treatments alone. This cross-sectional study was carried out on a dairy calf ranch in the northwestern United States from June to September 2017 and focused on calves ≤90 d of age. Comparisons were made between causes of death based on 3 levels of information: on-farm treatment records alone, necropsy-based postmortem analyses in addition to treatment records, and Washington Animal Disease Diagnostic Laboratory (WADDL) results in addition to all other information. A total of 210 dairy calves were necropsied during this study, of which 122 cases were submitted to WADDL. Necropsy- and WADDL-derived mortality phenotypes were in almost perfect agreement (Cohen's κ = 0.86) when broadly categorized as diarrhea, respiratory, diarrhea and respiratory combined, or other causes. The level of agreement between on-farm treatment records and postmortem-derived results was low and varied by the level of diagnostic detail provided. There was just fair agreement (κ = 0.22) between treatment-based and necropsy-based phenotypes without WADDL input and only slight agreement (κ = 0.13) between treatment-based and corresponding necropsy-based phenotypes with WADDL input. Even for those cases in which causes of death aligned along a comparable pathologic spectrum, the lack of detail inherent to standard treatment-based causes of death failed to identify meaningful target areas for intervention. This was especially apparent for numerous cases of necrotizing enteritis and typhlitis (cecal inflammation) that were variously categorized as diarrhea and pneumonia by treatment-based diagnoses. The specificity of these lesions stood in stark contrast to the otherwise generic cause of death diagnoses derived from treatments. The findings from this study supported the hypothesis and highlighted the value of on-farm necropsies and laboratory-based diagnostics to (1) detect antemortem disease misclassifications, (2) provide detail regarding disease processes and mortality phenotypes, and (3) direct disease mitigation strategies. American Dairy Science Association®. 2019-05 2019-03-14 /pmc/articles/PMC7094407/ /pubmed/30879809 http://dx.doi.org/10.3168/jds.2018-15527 Text en © 2019 American Dairy Science Association®. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article McConnel, C.S. Nelson, D.D. Burbick, C.R. Buhrig, S.M. Wilson, E.A. Klatt, C.T. Moore, D.A. Clarifying dairy calf mortality phenotypes through postmortem analysis |
title | Clarifying dairy calf mortality phenotypes through postmortem analysis |
title_full | Clarifying dairy calf mortality phenotypes through postmortem analysis |
title_fullStr | Clarifying dairy calf mortality phenotypes through postmortem analysis |
title_full_unstemmed | Clarifying dairy calf mortality phenotypes through postmortem analysis |
title_short | Clarifying dairy calf mortality phenotypes through postmortem analysis |
title_sort | clarifying dairy calf mortality phenotypes through postmortem analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7094407/ https://www.ncbi.nlm.nih.gov/pubmed/30879809 http://dx.doi.org/10.3168/jds.2018-15527 |
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