AUTOMATED AND MANUAL LEUKOCYTE DIFFERENTIAL COUNTS IN HEALTHY EQUINES
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Medicina Veterinária (Recife. Online) |
Texto Completo: | https://www.journals.ufrpe.br/index.php/medicinaveterinaria/article/view/5897 |
Resumo: | The speed and convenience provided by automated cell counters are reasons for the increasing use of this technology in veterinary practice, with impedance methodology being one of the most commonly used in Brazil. In this regard, the objective of this study was to compare the automated differential leukocyte count obtained by impedance with the manual count obtained from the evaluation of blood smears in healthy horses. For this purpose, the automated differential leukocyte count using a veterinary cell counter (Abx Micros ESV 60, Horiba) was compared to the manual count using optical microscopy in 545 blood samples from healthy horses. Paired t-tests or Wilcoxon tests, Deming regression, Pearson or Spearman correlations, and Bland-Altman analysis were used, considering differences significant when p<0.05. The automated method showed higher concentrations of segmented neutrophils and monocytes, and lower concentrations of lymphocytes and eosinophils compared to the manual method. The mean error of the automated count was -10.26% for segmented neutrophils, 11.04% for lymphocytes, -41.39% for monocytes, and -10.84% for eosinophils, ranging from -200% to 161.4% depending on the cell type. There was a significant correlation between the methodologies only for the counts of segmented neutrophils, lymphocytes, and eosinophils. In conclusion, the manual differential leukocyte count in healthy horses cannot be replaced by the automated method, and the analysis of blood smears remains a fundamental tool for the proper interpretation of the leukogram in horses. |
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AUTOMATED AND MANUAL LEUKOCYTE DIFFERENTIAL COUNTS IN HEALTHY EQUINESAutomated impedance-based and manual leukocyte differential counts in healthy equineshorseleukogramimpedanceHorseLeukogramImpedanceThe speed and convenience provided by automated cell counters are reasons for the increasing use of this technology in veterinary practice, with impedance methodology being one of the most commonly used in Brazil. In this regard, the objective of this study was to compare the automated differential leukocyte count obtained by impedance with the manual count obtained from the evaluation of blood smears in healthy horses. For this purpose, the automated differential leukocyte count using a veterinary cell counter (Abx Micros ESV 60, Horiba) was compared to the manual count using optical microscopy in 545 blood samples from healthy horses. Paired t-tests or Wilcoxon tests, Deming regression, Pearson or Spearman correlations, and Bland-Altman analysis were used, considering differences significant when p<0.05. The automated method showed higher concentrations of segmented neutrophils and monocytes, and lower concentrations of lymphocytes and eosinophils compared to the manual method. The mean error of the automated count was -10.26% for segmented neutrophils, 11.04% for lymphocytes, -41.39% for monocytes, and -10.84% for eosinophils, ranging from -200% to 161.4% depending on the cell type. There was a significant correlation between the methodologies only for the counts of segmented neutrophils, lymphocytes, and eosinophils. In conclusion, the manual differential leukocyte count in healthy horses cannot be replaced by the automated method, and the analysis of blood smears remains a fundamental tool for the proper interpretation of the leukogram in horses.The speed and convenience provided by automated cell counters are reasons for the increasing use of this technology in veterinary practice, with impedance methodology being one of the most commonly used in Brazil. In this regard, the objective of this study was to compare the automated differential leukocyte count obtained by impedance with the manual count obtained from the evaluation of blood smears in healthy horses. For this purpose, the automated differential leukocyte count by impedance using a veterinary cell counter (Abx Micros ESV 60, Horiba) was compared to the manual count using optical microscopy in 545 blood samples from healthy horses. Paired t-tests or Wilcoxon tests, Deming regression, Pearson or Spearman correlations, and Bland-Altman analysis were used, considering differences significant when p<0.05. All optical microscopy counts were carried out by the same veterinary clinical pathologist with ten years of previous experience in the area. The automated method showed higher concentrations of segmented neutrophils and monocytes, and lower concentrations of lymphocytes and eosinophils compared to the manual method. The mean error of the automated count was -10.26% for segmented neutrophils, 11.04% for lymphocytes, -41.39% for monocytes, and -10.84% for eosinophils, ranging from -200% to 161.4% depending on the cell type. There was a significant correlation between the methodologies only for the counts of segmented neutrophils, lymphocytes, and eosinophils. In conclusion, the manual differential leukocyte count in healthy horses cannot be replaced by the automated method, and the analysis of blood smears remains a fundamental tool for the proper interpretation of the leukogram in horses.MEDICINA VETERINÁRIA2023-12-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.journals.ufrpe.br/index.php/medicinaveterinaria/article/view/589710.26605/medvet-v17n4-5897Medicina Veterinária; v. 17 n. 4 (2023): Medicina Veterinária; 249-2562675-66171809-467810.26605/medvet-v17n4reponame:Medicina Veterinária (Recife. Online)instname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEporhttps://www.journals.ufrpe.br/index.php/medicinaveterinaria/article/view/5897/482485160Copyright (c) 2023 Maria Fernanda Cazini Silva , Luma Maria Rovina Brito, Beatriz de Azevedo Martins, Laryssa Eduarda de Campos Lopes, Yasmin Cunha Duarte, Matheus Nogueira Morais, Laura Arduino Vasconcelos, Mariana Orlandini Mendonça, Tainara de Oliveira Martins, Daniela Fernandez Montechiesi, Breno Fernando Martins de Almeidahttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessSilva , Maria Fernanda CaziniBrito, Luma Maria RovinaMartins, Beatriz de AzevedoLopes, Laryssa Eduarda de CamposDuarte, Yasmin CunhaMorais, Matheus NogueiraVasconcelos, Laura ArduinoMendonça, Mariana OrlandiniMartins, Tainara de OliveiraMontechiesi, Daniela FernandezMartins de Almeida, Breno Fernando2023-12-28T13:22:38Zoai:ojs.10.0.7.8:article/5897Revistahttps://www.journals.ufrpe.br/index.php/medicinaveterinaria/PUBhttps://www.journals.ufrpe.br/index.php/medicinaveterinaria/oairevmedvet@ufrpe.br1809-46782675-6617opendoar:2023-12-28T13:22:38Medicina Veterinária (Recife. Online) - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.none.fl_str_mv |
AUTOMATED AND MANUAL LEUKOCYTE DIFFERENTIAL COUNTS IN HEALTHY EQUINES Automated impedance-based and manual leukocyte differential counts in healthy equines |
title |
AUTOMATED AND MANUAL LEUKOCYTE DIFFERENTIAL COUNTS IN HEALTHY EQUINES |
spellingShingle |
AUTOMATED AND MANUAL LEUKOCYTE DIFFERENTIAL COUNTS IN HEALTHY EQUINES Silva , Maria Fernanda Cazini horse leukogram impedance Horse Leukogram Impedance |
title_short |
AUTOMATED AND MANUAL LEUKOCYTE DIFFERENTIAL COUNTS IN HEALTHY EQUINES |
title_full |
AUTOMATED AND MANUAL LEUKOCYTE DIFFERENTIAL COUNTS IN HEALTHY EQUINES |
title_fullStr |
AUTOMATED AND MANUAL LEUKOCYTE DIFFERENTIAL COUNTS IN HEALTHY EQUINES |
title_full_unstemmed |
AUTOMATED AND MANUAL LEUKOCYTE DIFFERENTIAL COUNTS IN HEALTHY EQUINES |
title_sort |
AUTOMATED AND MANUAL LEUKOCYTE DIFFERENTIAL COUNTS IN HEALTHY EQUINES |
author |
Silva , Maria Fernanda Cazini |
author_facet |
Silva , Maria Fernanda Cazini Brito, Luma Maria Rovina Martins, Beatriz de Azevedo Lopes, Laryssa Eduarda de Campos Duarte, Yasmin Cunha Morais, Matheus Nogueira Vasconcelos, Laura Arduino Mendonça, Mariana Orlandini Martins, Tainara de Oliveira Montechiesi, Daniela Fernandez Martins de Almeida, Breno Fernando |
author_role |
author |
author2 |
Brito, Luma Maria Rovina Martins, Beatriz de Azevedo Lopes, Laryssa Eduarda de Campos Duarte, Yasmin Cunha Morais, Matheus Nogueira Vasconcelos, Laura Arduino Mendonça, Mariana Orlandini Martins, Tainara de Oliveira Montechiesi, Daniela Fernandez Martins de Almeida, Breno Fernando |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Silva , Maria Fernanda Cazini Brito, Luma Maria Rovina Martins, Beatriz de Azevedo Lopes, Laryssa Eduarda de Campos Duarte, Yasmin Cunha Morais, Matheus Nogueira Vasconcelos, Laura Arduino Mendonça, Mariana Orlandini Martins, Tainara de Oliveira Montechiesi, Daniela Fernandez Martins de Almeida, Breno Fernando |
dc.subject.por.fl_str_mv |
horse leukogram impedance Horse Leukogram Impedance |
topic |
horse leukogram impedance Horse Leukogram Impedance |
description |
The speed and convenience provided by automated cell counters are reasons for the increasing use of this technology in veterinary practice, with impedance methodology being one of the most commonly used in Brazil. In this regard, the objective of this study was to compare the automated differential leukocyte count obtained by impedance with the manual count obtained from the evaluation of blood smears in healthy horses. For this purpose, the automated differential leukocyte count using a veterinary cell counter (Abx Micros ESV 60, Horiba) was compared to the manual count using optical microscopy in 545 blood samples from healthy horses. Paired t-tests or Wilcoxon tests, Deming regression, Pearson or Spearman correlations, and Bland-Altman analysis were used, considering differences significant when p<0.05. The automated method showed higher concentrations of segmented neutrophils and monocytes, and lower concentrations of lymphocytes and eosinophils compared to the manual method. The mean error of the automated count was -10.26% for segmented neutrophils, 11.04% for lymphocytes, -41.39% for monocytes, and -10.84% for eosinophils, ranging from -200% to 161.4% depending on the cell type. There was a significant correlation between the methodologies only for the counts of segmented neutrophils, lymphocytes, and eosinophils. In conclusion, the manual differential leukocyte count in healthy horses cannot be replaced by the automated method, and the analysis of blood smears remains a fundamental tool for the proper interpretation of the leukogram in horses. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.journals.ufrpe.br/index.php/medicinaveterinaria/article/view/5897 10.26605/medvet-v17n4-5897 |
url |
https://www.journals.ufrpe.br/index.php/medicinaveterinaria/article/view/5897 |
identifier_str_mv |
10.26605/medvet-v17n4-5897 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.journals.ufrpe.br/index.php/medicinaveterinaria/article/view/5897/482485160 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MEDICINA VETERINÁRIA |
publisher.none.fl_str_mv |
MEDICINA VETERINÁRIA |
dc.source.none.fl_str_mv |
Medicina Veterinária; v. 17 n. 4 (2023): Medicina Veterinária; 249-256 2675-6617 1809-4678 10.26605/medvet-v17n4 reponame:Medicina Veterinária (Recife. Online) instname:Universidade Federal Rural de Pernambuco (UFRPE) instacron:UFRPE |
instname_str |
Universidade Federal Rural de Pernambuco (UFRPE) |
instacron_str |
UFRPE |
institution |
UFRPE |
reponame_str |
Medicina Veterinária (Recife. Online) |
collection |
Medicina Veterinária (Recife. Online) |
repository.name.fl_str_mv |
Medicina Veterinária (Recife. Online) - Universidade Federal Rural de Pernambuco (UFRPE) |
repository.mail.fl_str_mv |
revmedvet@ufrpe.br |
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1806552252331065344 |