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Retrospective study using biosensor data of a milking Holstein cow with jejunal haemorrhage syndrome
Jejunal haemorrhage syndrome (JHS) is a sporadic and fatal enterotoxaemic disease in dairy cows associated with acute development and poor prognosis despite treatment. A 5-year-old Holstein cow with no reported pregnancy, three calving numbers, and 303 days in milk presented with hypothermia, discom...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Czech Academy of Agricultural Sciences
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646544/ https://www.ncbi.nlm.nih.gov/pubmed/37981941 http://dx.doi.org/10.17221/73/2023-VETMED |
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author | Ha, Seungmin Kang, Seogjin Jung, Mooyoung Jeon, Eunjeong Hwang, Seongsoo Lee, Jihwan Kim, Jongho Bae, You-Chan Park, Jinho Kim, Ui-Hyung |
author_facet | Ha, Seungmin Kang, Seogjin Jung, Mooyoung Jeon, Eunjeong Hwang, Seongsoo Lee, Jihwan Kim, Jongho Bae, You-Chan Park, Jinho Kim, Ui-Hyung |
author_sort | Ha, Seungmin |
collection | PubMed |
description | Jejunal haemorrhage syndrome (JHS) is a sporadic and fatal enterotoxaemic disease in dairy cows associated with acute development and poor prognosis despite treatment. A 5-year-old Holstein cow with no reported pregnancy, three calving numbers, and 303 days in milk presented with hypothermia, discomfort, and inappetence. Anaemia, dehydration, faeces with blood clots, and absence of rumen and bowel movements were observed. We identified the presence of neutrophilia, hyperglycaemia, hypoproteinaemia, azotaemia, hyperlactatemia, hypocalcaemia, hypermagnesemia, hypokalaemia, and hypochloraemia through blood analyses. Necropsy and histopathologic examination revealed a dilated bluish-purple jejunum, blood clots within the jejunum, neutrophil infiltration into the submucosa of the jejunum, and vascular necrosis. Retrospective examination revealed extraordinary patterns of rumination time, activity, rumen mobility, and rumen temperature using biosensors and decreased milk yield. The abnormalities in the affected cow were detected before recognition by farm workers. To the best of our knowledge, this is the first report to examine data from biosensors in a cow with JHS. Our findings suggest that using biometric data may help understand the development of JHS. |
format | Online Article Text |
id | pubmed-10646544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Czech Academy of Agricultural Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-106465442023-11-17 Retrospective study using biosensor data of a milking Holstein cow with jejunal haemorrhage syndrome Ha, Seungmin Kang, Seogjin Jung, Mooyoung Jeon, Eunjeong Hwang, Seongsoo Lee, Jihwan Kim, Jongho Bae, You-Chan Park, Jinho Kim, Ui-Hyung Vet Med (Praha) Case Report Jejunal haemorrhage syndrome (JHS) is a sporadic and fatal enterotoxaemic disease in dairy cows associated with acute development and poor prognosis despite treatment. A 5-year-old Holstein cow with no reported pregnancy, three calving numbers, and 303 days in milk presented with hypothermia, discomfort, and inappetence. Anaemia, dehydration, faeces with blood clots, and absence of rumen and bowel movements were observed. We identified the presence of neutrophilia, hyperglycaemia, hypoproteinaemia, azotaemia, hyperlactatemia, hypocalcaemia, hypermagnesemia, hypokalaemia, and hypochloraemia through blood analyses. Necropsy and histopathologic examination revealed a dilated bluish-purple jejunum, blood clots within the jejunum, neutrophil infiltration into the submucosa of the jejunum, and vascular necrosis. Retrospective examination revealed extraordinary patterns of rumination time, activity, rumen mobility, and rumen temperature using biosensors and decreased milk yield. The abnormalities in the affected cow were detected before recognition by farm workers. To the best of our knowledge, this is the first report to examine data from biosensors in a cow with JHS. Our findings suggest that using biometric data may help understand the development of JHS. Czech Academy of Agricultural Sciences 2023-09-28 /pmc/articles/PMC10646544/ /pubmed/37981941 http://dx.doi.org/10.17221/73/2023-VETMED Text en Copyright: © 2023 Ha et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (https://creativecommons.org/licenses/by/4.0/) (CC BY-NC 4.0). |
spellingShingle | Case Report Ha, Seungmin Kang, Seogjin Jung, Mooyoung Jeon, Eunjeong Hwang, Seongsoo Lee, Jihwan Kim, Jongho Bae, You-Chan Park, Jinho Kim, Ui-Hyung Retrospective study using biosensor data of a milking Holstein cow with jejunal haemorrhage syndrome |
title | Retrospective study using biosensor data of a milking Holstein cow with jejunal haemorrhage syndrome |
title_full | Retrospective study using biosensor data of a milking Holstein cow with jejunal haemorrhage syndrome |
title_fullStr | Retrospective study using biosensor data of a milking Holstein cow with jejunal haemorrhage syndrome |
title_full_unstemmed | Retrospective study using biosensor data of a milking Holstein cow with jejunal haemorrhage syndrome |
title_short | Retrospective study using biosensor data of a milking Holstein cow with jejunal haemorrhage syndrome |
title_sort | retrospective study using biosensor data of a milking holstein cow with jejunal haemorrhage syndrome |
topic | Case Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646544/ https://www.ncbi.nlm.nih.gov/pubmed/37981941 http://dx.doi.org/10.17221/73/2023-VETMED |
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