Literature DB >> 21048012

Age-stratified Bayesian analysis to estimate sensitivity and specificity of four diagnostic tests for detection of Cryptosporidium oocysts in neonatal calves.

Valerie De Waele1, Marco Berzano, Dirk Berkvens, Niko Speybroeck, Colm Lowery, Grace M Mulcahy, Thomas M Murphy.   

Abstract

There is no gold standard diagnostic test for the detection of bovine cryptosporidiosis. Infection is usually highest in 2-week-old calves, and these calves also excrete high numbers of oocysts. These factors may give rise to variations in the sensitivity and specificity of the various diagnostic tests used to detect infection in calves of various ages. An age-stratified Bayesian analysis was carried out to determine the optimum diagnostic test to identify asymptomatic and clinical Cryptosporidium sp. infection in neonatal calves. Fecal samples collected from 82 calves at 1 week, 2 weeks, 3 weeks, and 4 weeks of age were subjected to the following tests: microscopic examination of smears stained with either phenol-auramine O or fluorescein isothiocyanate (FITC)-conjugated anti-Cryptosporidium monoclonal antibody, nested-PCR, and quantitative real-time PCR. The results confirmed a high prevalence of Cryptosporidium sp. infection, as well as a high level of oocyst excretion, in 2-week-old calves. The sensitivities of all the tests varied with the age of the calves. Quantitative real-time PCR proved to be the most sensitive and specific test for detecting infection irrespective of the age of the calf. The microscopic techniques were the least sensitive and exhibited only moderate efficiency with 2-week-old calves excreting large numbers of oocysts, the majority of which were diarrheic. It was concluded that, when interpreting the results of routine tests for bovine cryptosporidiosis, cognizance should be taken of the sensitivity of the tests in relation to the age of the calves and stage of infection.

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Year:  2010        PMID: 21048012      PMCID: PMC3020464          DOI: 10.1128/JCM.01424-10

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  31 in total

1.  A Bayesian evaluation of four immunological assays for the diagnosis of clinical cryptosporidiosis in calves.

Authors:  Thomas Geurden; Edwin Claerebout; Jozef Vercruysse; Dirk Berkvens
Journal:  Vet J       Date:  2007-05-09       Impact factor: 2.688

2.  Foot-and-mouth disease non-structural protein serology in cattle: use of a Bayesian framework to estimate diagnostic sensitivity and specificity of six ELISA tests and true prevalence in the field.

Authors:  N Goris; N Praet; D Sammin; H Yadin; D Paton; E Brocchi; D Berkvens; K De Clercq
Journal:  Vaccine       Date:  2007-08-02       Impact factor: 3.641

3.  Diagnostic methods I: sensitivity, specificity, and other measures of accuracy.

Authors:  Karlijn J van Stralen; Vianda S Stel; Johannes B Reitsma; Friedo W Dekker; Carmine Zoccali; Kitty J Jager
Journal:  Kidney Int       Date:  2009-04-01       Impact factor: 10.612

4.  A longitudinal study of cryptosporidiosis in dairy cattle from birth to 2 years of age.

Authors:  Mónica Santín; James M Trout; Ronald Fayer
Journal:  Vet Parasitol       Date:  2008-05-10       Impact factor: 2.738

5.  Prevalence and associated management factors of Cryptosporidium shedding in 50 Swedish dairy herds.

Authors:  Charlotte Silverlås; Ulf Emanuelson; Kerstin de Verdier; Camilla Björkman
Journal:  Prev Vet Med       Date:  2009-05-13       Impact factor: 2.670

6.  Prevalence of Cryptosporidium species and genotypes in mature dairy cattle on farms in eastern United States compared with younger cattle from the same locations.

Authors:  Ronald Fayer; Monica Santin; James M Trout
Journal:  Vet Parasitol       Date:  2007-02-06       Impact factor: 2.738

7.  Detection and quantification of Cryptosporidium in HCT-8 cells and human fecal specimens using real-time polymerase chain reaction.

Authors:  Jonathan B Parr; Jesus Emmanuel Sevilleja; Amidou Samie; Samie Amidou; Cirle Alcantara; Suzanne E Stroup; Anita Kohli; Ron Fayer; Aldo A M Lima; Eric R Houpt; Richard L Guerrant
Journal:  Am J Trop Med Hyg       Date:  2007-05       Impact factor: 2.345

8.  Detection and differentiation of Cryptosporidium hominis and Cryptosporidium parvum by dual TaqMan assays.

Authors:  N Jothikumar; A J da Silva; I Moura; Y Qvarnstrom; V R Hill
Journal:  J Med Microbiol       Date:  2008-09       Impact factor: 2.472

9.  A Bayesian evaluation of three diagnostic assays for the detection of Giardia duodenalis in symptomatic and asymptomatic dogs.

Authors:  T Geurden; D Berkvens; S Casaert; J Vercruysse; E Claerebout
Journal:  Vet Parasitol       Date:  2008-07-17       Impact factor: 2.738

10.  A Bayesian method for calculating real-time quantitative PCR calibration curves using absolute plasmid DNA standards.

Authors:  Mano Sivaganesan; Shawn Seifring; Manju Varma; Richard A Haugland; Orin C Shanks
Journal:  BMC Bioinformatics       Date:  2008-02-25       Impact factor: 3.169

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  8 in total

1.  Development of an immunomagnetic bead separation-coupled quantitative PCR method for rapid and sensitive detection of Cryptosporidium parvum oocysts in calf feces.

Authors:  Shanshan Gao; Min Zhang; Said Amer; Jing Luo; Chengmin Wang; Shaoqiang Wu; Baohua Zhao; Hongxuan He
Journal:  Parasitol Res       Date:  2014-04-01       Impact factor: 2.289

2.  Correlation between diarrhea severity and oocyst count via quantitative PCR or fluorescence microscopy in experimental cryptosporidiosis in calves.

Authors:  Darwin J Operario; Lauren S Bristol; Janice Liotta; Daryl V Nydam; Eric R Houpt
Journal:  Am J Trop Med Hyg       Date:  2014-11-04       Impact factor: 2.345

3.  Real-time PCR assay targeting the actin gene for the detection of Cryptosporidium parvum in calf fecal samples.

Authors:  Camila G Homem; Alex A Nakamura; Deuvânia C Silva; Weslen F P Teixeira; Willian M D Coelho; Marcelo V Meireles
Journal:  Parasitol Res       Date:  2011-11-01       Impact factor: 2.289

4.  Panmictic structure of the Cryptosporidium parvum population in Irish calves: influence of prevalence and host movement.

Authors:  Valérie De Waele; Frederik Van den Broeck; Tine Huyse; Guy McGrath; Isabella Higgins; Niko Speybroeck; Marco Berzano; Pat Raleigh; Grace M Mulcahy; Thomas M Murphy
Journal:  Appl Environ Microbiol       Date:  2013-02-08       Impact factor: 4.792

Review 5.  Estimation of diagnostic test accuracy without full verification: a review of latent class methods.

Authors:  John Collins; Minh Huynh
Journal:  Stat Med       Date:  2014-06-09       Impact factor: 2.373

6.  Community Laboratory Testing for Cryptosporidium: Multicenter Study Retesting Public Health Surveillance Stool Samples Positive for Cryptosporidium by Rapid Cartridge Assay with Direct Fluorescent Antibody Testing.

Authors:  Dawn M Roellig; Jonathan S Yoder; Susan Madison-Antenucci; Trisha J Robinson; Tam T Van; Sarah A Collier; Dave Boxrud; Timothy Monson; Leigh Ann Bates; Anna J Blackstock; Shari Shea; Kirsten Larson; Lihua Xiao; Michael Beach
Journal:  PLoS One       Date:  2017-01-13       Impact factor: 3.240

7.  Diagnostic test evaluation methodology: A systematic review of methods employed to evaluate diagnostic tests in the absence of gold standard - An update.

Authors:  Chinyereugo M Umemneku Chikere; Kevin Wilson; Sara Graziadio; Luke Vale; A Joy Allen
Journal:  PLoS One       Date:  2019-10-11       Impact factor: 3.240

Review 8.  Looking for Cryptosporidium: the application of advances in detection and diagnosis.

Authors:  Rachel M Chalmers; Frank Katzer
Journal:  Trends Parasitol       Date:  2013-04-06
  8 in total

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