Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, Brazil

Detalhes bibliográficos
Autor(a) principal: Fagundes, Thais Ferreira
Data de Publicação: 2016
Outros Autores: Vidal, Letícia Gabriela Poblete, Alves, Pedro Afonso Moreira, Tassinari, Wagner de Souza, Menezes, Rita de Cássia Alves Alcântara de, Fonseca, Adevair Henrique da, Pereira, Maria Julia Salim
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439
Resumo: This study aimed to evaluate the association between diarrhea and risk factors potentially related to diarrhea incidence, such as Cryptosporidium, Giardia, Eimeria and nematode infection, animal age, failure to transfer passive immunity, type of fertilization (artificial insemination - AI, in vitro production of embryos - IVP and natural breeding), mother (heifer/cow) and birth weight of heifer calves reared in individual outdoor hutches on a dairy farm. The database used in the present study refers to a weekly survey of a cohort of 118 heifer calves from birth to 100 days of age. A logistic generalized additive model (GAM) was fit to evaluate the functional relationship between the risk of diarrhea occurrence and birth weight. For analysis purposes, the database was divided into calves up to 30 days old and calves 31 to 100 days old. Bivariate and multivariate analyses were performed using logistic regression models via generalized estimating equations. All variables were included in the models and were removed oneby-one according to Wald statistics to obtain the final model. The relative risks (RR) and their respective 90% confidence intervals were estimated. The final model for calves up to 30 days old showed that IVP [RR=0.33 (90% CI 0.14; 0.75)] is a protective factor and that Cryptosporidium spp. infection [RR=1.95 (90% CI 1.22; 3.12)] is a risk factor. Although not statistically significant [RR=1.46 (90% CI 0.98; 2.18)], failure to transfer passive immunity increases the risk of diarrhea. The final model for calves 31 - 100 days old showed that IVP [RR=0.50 (90% IC 0.28; 0.89)] and birth weight ? 40 kg [RR=0.65 (90% CI 0.47; 0.89)] are protective factors. In this age group, Cryptosporidium spp. infection has no statistical significance [RR=1.25 (90% CI 0.95; 1.64)]. These results indicate that some of the diarrhea episodes observed in animals up to 30 days old could be explained by Cryptosporidium infection; therefore, better monitoring of these animals is recommended. Greater care in colostrum administration is suggested because animals with hypoglobulinemia are more sensitive to diarrhea occurrence. Although attention should be given to all animals with a low birth weight, special care should be given to those 31 to 100 days old.
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spelling Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, BrazilFatores de risco para diarreia em uma coorte de bezerras leiteiras criadas em sistema de abrigos individuais em piquete, município de Piraí, Rio de Janeiro, BrazilEpidemiologyGeneralized estimating equationsLogistic regression modelLongitudinal study.EpidemiologiaEquações estimadas generalizadasEstudo longitudinalModelo de regressão logistica.This study aimed to evaluate the association between diarrhea and risk factors potentially related to diarrhea incidence, such as Cryptosporidium, Giardia, Eimeria and nematode infection, animal age, failure to transfer passive immunity, type of fertilization (artificial insemination - AI, in vitro production of embryos - IVP and natural breeding), mother (heifer/cow) and birth weight of heifer calves reared in individual outdoor hutches on a dairy farm. The database used in the present study refers to a weekly survey of a cohort of 118 heifer calves from birth to 100 days of age. A logistic generalized additive model (GAM) was fit to evaluate the functional relationship between the risk of diarrhea occurrence and birth weight. For analysis purposes, the database was divided into calves up to 30 days old and calves 31 to 100 days old. Bivariate and multivariate analyses were performed using logistic regression models via generalized estimating equations. All variables were included in the models and were removed oneby-one according to Wald statistics to obtain the final model. The relative risks (RR) and their respective 90% confidence intervals were estimated. The final model for calves up to 30 days old showed that IVP [RR=0.33 (90% CI 0.14; 0.75)] is a protective factor and that Cryptosporidium spp. infection [RR=1.95 (90% CI 1.22; 3.12)] is a risk factor. Although not statistically significant [RR=1.46 (90% CI 0.98; 2.18)], failure to transfer passive immunity increases the risk of diarrhea. The final model for calves 31 - 100 days old showed that IVP [RR=0.50 (90% IC 0.28; 0.89)] and birth weight ? 40 kg [RR=0.65 (90% CI 0.47; 0.89)] are protective factors. In this age group, Cryptosporidium spp. infection has no statistical significance [RR=1.25 (90% CI 0.95; 1.64)]. These results indicate that some of the diarrhea episodes observed in animals up to 30 days old could be explained by Cryptosporidium infection; therefore, better monitoring of these animals is recommended. Greater care in colostrum administration is suggested because animals with hypoglobulinemia are more sensitive to diarrhea occurrence. Although attention should be given to all animals with a low birth weight, special care should be given to those 31 to 100 days old.Este trabalho teve como objetivo estudar a associação entre a diarreia e os possíveis fatores de risco para sua incidência, tais como: infecção por Cryptosporidium, Giardia, Eimeria e nematóides, idade, falha na transferência de imunidade passiva, tipo de fertilização (Inseminação artificial - IA, Produção in vitro de embriões PIVE e monta natural), mãe (novilha/vaca) e peso ao nascer, em bezerras criadas sob sistema de abrigo individual em piquete, em uma fazenda de produção leiteira. O banco de dados utilizado refere-se ao acompanhamento semanal de uma coorte de 118 bezerras do nascimento aos cem dias de idade. Um modelo logístico aditivo generalizado (GAM) foi ajustado para avaliar a relação funcional entre o risco de ser acometido por diarreia e o peso ao nascer. Para fins de análise, o banco de dados foi dividido em bezerras até 30 dias de idade e de 31 a 100 dias de idade. Análises bivariadas e multivariadas foram realizadas utilizando-se os modelos de regressão logística via equações estimadas generalizadas. Todas as variáveis foram incluídas nos modelos, sendo retiradas uma a uma, segundo a estatística de Wald, até a obtenção do modelo final. Foram estimados os riscos relativos (RR) e seus respectivos intervalos com 90% de confiança. O modelo final para bezerras com até 30 dias de idade mostrou evidências de que o tipo de fertilização PIVE [RR= 0,33 (IC 90% 0,14; 0,75)] é um fator de proteção e a infecção por Cryptosporidium spp. [RR= 1,95 (IC 90% 1,22; 3,12)] um fator de risco. Embora, sem significância estatística [RR=1,46 (IC 90% 0,98; 2,18)], a falha na transferência de imunidade passiva aumenta o risco de diarreia. O modelo final, para bezerras de 31 a 100 dias de idade, mostrou evidências de que PIVE [RR=0,50 (IC 90% 0,28; 0,89)] e peso ao nascer ? 40 kg [RR= 0,65 (IC 90% 0,47; 0,89)] são fatores de proteção. Nesta faixa etária, a infecção por Cryptosporidium spp não tem significância estatística [RR= 1,25 (IC 90% 0,95; 1,64)]. Estes resultados indicam que parte da diarreia observada na faixa etária até 30 dias pode ser explicada pela infecção por Cryptosporidium, recomendando-se um melhor acompanhamento dos animais. Sugere-se maior cuidado na administração do colostro, visto que animais com hipoglobulinemia são mais sensíveis à ocorrência de diarreia. Embora, deva ser dispensada atenção a todos os animais com baixo peso ao nascer, especial cuidado deve ser dado àqueles na faixa etária de 31 a 100 dias.UEL2016-10-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionEmpírica de Campoapplication/pdfapplication/mswordapplication/mswordapplication/mswordapplication/mswordapplication/mswordapplication/mswordapplication/pdfimage/tiffimage/tiffapplication/pdfapplication/mswordapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/2343910.5433/1679-0359.2016v37n5p3159Semina: Ciências Agrárias; Vol. 37 No. 5 (2016); 3159-3172Semina: Ciências Agrárias; v. 37 n. 5 (2016); 3159-31721679-03591676-546Xreponame:Semina. 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dc.title.none.fl_str_mv Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, Brazil
Fatores de risco para diarreia em uma coorte de bezerras leiteiras criadas em sistema de abrigos individuais em piquete, município de Piraí, Rio de Janeiro, Brazil
title Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, Brazil
spellingShingle Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, Brazil
Fagundes, Thais Ferreira
Epidemiology
Generalized estimating equations
Logistic regression model
Longitudinal study.
Epidemiologia
Equações estimadas generalizadas
Estudo longitudinal
Modelo de regressão logistica.
title_short Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, Brazil
title_full Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, Brazil
title_fullStr Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, Brazil
title_full_unstemmed Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, Brazil
title_sort Risk factors for diarrhea in a cohort of dairy heifer calves reared in individual outdoor hutches in Piraí, Rio de Janeiro, Brazil
author Fagundes, Thais Ferreira
author_facet Fagundes, Thais Ferreira
Vidal, Letícia Gabriela Poblete
Alves, Pedro Afonso Moreira
Tassinari, Wagner de Souza
Menezes, Rita de Cássia Alves Alcântara de
Fonseca, Adevair Henrique da
Pereira, Maria Julia Salim
author_role author
author2 Vidal, Letícia Gabriela Poblete
Alves, Pedro Afonso Moreira
Tassinari, Wagner de Souza
Menezes, Rita de Cássia Alves Alcântara de
Fonseca, Adevair Henrique da
Pereira, Maria Julia Salim
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Fagundes, Thais Ferreira
Vidal, Letícia Gabriela Poblete
Alves, Pedro Afonso Moreira
Tassinari, Wagner de Souza
Menezes, Rita de Cássia Alves Alcântara de
Fonseca, Adevair Henrique da
Pereira, Maria Julia Salim
dc.subject.por.fl_str_mv Epidemiology
Generalized estimating equations
Logistic regression model
Longitudinal study.
Epidemiologia
Equações estimadas generalizadas
Estudo longitudinal
Modelo de regressão logistica.
topic Epidemiology
Generalized estimating equations
Logistic regression model
Longitudinal study.
Epidemiologia
Equações estimadas generalizadas
Estudo longitudinal
Modelo de regressão logistica.
description This study aimed to evaluate the association between diarrhea and risk factors potentially related to diarrhea incidence, such as Cryptosporidium, Giardia, Eimeria and nematode infection, animal age, failure to transfer passive immunity, type of fertilization (artificial insemination - AI, in vitro production of embryos - IVP and natural breeding), mother (heifer/cow) and birth weight of heifer calves reared in individual outdoor hutches on a dairy farm. The database used in the present study refers to a weekly survey of a cohort of 118 heifer calves from birth to 100 days of age. A logistic generalized additive model (GAM) was fit to evaluate the functional relationship between the risk of diarrhea occurrence and birth weight. For analysis purposes, the database was divided into calves up to 30 days old and calves 31 to 100 days old. Bivariate and multivariate analyses were performed using logistic regression models via generalized estimating equations. All variables were included in the models and were removed oneby-one according to Wald statistics to obtain the final model. The relative risks (RR) and their respective 90% confidence intervals were estimated. The final model for calves up to 30 days old showed that IVP [RR=0.33 (90% CI 0.14; 0.75)] is a protective factor and that Cryptosporidium spp. infection [RR=1.95 (90% CI 1.22; 3.12)] is a risk factor. Although not statistically significant [RR=1.46 (90% CI 0.98; 2.18)], failure to transfer passive immunity increases the risk of diarrhea. The final model for calves 31 - 100 days old showed that IVP [RR=0.50 (90% IC 0.28; 0.89)] and birth weight ? 40 kg [RR=0.65 (90% CI 0.47; 0.89)] are protective factors. In this age group, Cryptosporidium spp. infection has no statistical significance [RR=1.25 (90% CI 0.95; 1.64)]. These results indicate that some of the diarrhea episodes observed in animals up to 30 days old could be explained by Cryptosporidium infection; therefore, better monitoring of these animals is recommended. Greater care in colostrum administration is suggested because animals with hypoglobulinemia are more sensitive to diarrhea occurrence. Although attention should be given to all animals with a low birth weight, special care should be given to those 31 to 100 days old.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-26
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/19820
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/36719
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/36720
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/36721
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/36722
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/36723
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/36724
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https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/36726
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/36727
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/37985
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/37986
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23439/38269
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dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 37 No. 5 (2016); 3159-3172
Semina: Ciências Agrárias; v. 37 n. 5 (2016); 3159-3172
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
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reponame_str Semina. Ciências Agrárias (Online)
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