Literature DB >> 24464554

Sensitivity and specificity of real-time reverse transcription polymerase chain reaction, histopathology, and immunohistochemical labeling for the detection of Rift Valley fever virus in naturally infected cattle and sheep.

Lieza Odendaal1, Geoffrey T Fosgate, Marco Romito, Jacobus A W Coetzer, Sarah J Clift.   

Abstract

Real-time reverse transcription polymerase chain reaction (real-time RT-PCR), histopathology, and immunohistochemical labeling (IHC) were performed on liver specimens from 380 naturally infected cattle and sheep necropsied during the 2010 Rift Valley fever (RVF) epidemic in South Africa. Sensitivity (Se) and specificity (Sp) of real-time RT-PCR, histopathology, and IHC were estimated in a latent-class model using a Bayesian framework. The Se and Sp of real-time RT-PCR were estimated as 97.4% (95% confidence interval [CI] = 95.2-98.8%) and 71.7% (95% CI = 65-77.9%) respectively. The Se and Sp of histopathology were estimated as 94.6% (95% CI = 91-97.2%) and 92.3% (95% CI = 87.6-95.8%), respectively. The Se and Sp of IHC were estimated as 97.6% (95% CI = 93.9-99.8%) and 99.4% (95% CI = 96.9-100%), respectively. Decreased Sp of real-time RT-PCR was ascribed to cross-contamination of samples. Stratified analysis of the data suggested variations in test accuracy with fetuses and severely autolyzed specimens. The Sp of histopathology in fetuses (83%) was 9.3% lower than the sample population (92.3%). The Se of IHC decreased from 97.6% to 81.5% in the presence of severe autolysis. The diagnostic Se and Sp of histopathology was higher than expected, confirming the value of routine postmortem examinations and histopathology of liver specimens. Aborted fetuses, however, should be screened using a variety of tests in areas endemic for RVF, and results from severely autolyzed specimens should be interpreted with caution. The most feasible testing option for countries lacking suitably equipped laboratories seems to be routine histology in combination with IHC.

Entities:  

Keywords:  Bayesian; Rift Valley fever; diagnosis; histopathology; immunohistochemical labeling; latent-class model; real-time reverse transcription polymerase chain reaction; sensitivity; specificity

Mesh:

Substances:

Year:  2014        PMID: 24464554     DOI: 10.1177/1040638713516759

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  5 in total

Review 1.  Aptamers isolated against mosquito-borne pathogens.

Authors:  Tholasi Nadhan Navien; Tzi Shien Yeoh; Andrew Anna; Thean-Hock Tang; Marimuthu Citartan
Journal:  World J Microbiol Biotechnol       Date:  2021-07-09       Impact factor: 3.312

2.  Experimental Infection of Domestic Piglets (Sus scrofa) with Rift Valley Fever Virus.

Authors:  Lorelei L Clarke; Daniel G Mead; Mark G Ruder; Deborah L Carter; Jennifer Bloodgood; Elizabeth Howerth
Journal:  Am J Trop Med Hyg       Date:  2021-10-25       Impact factor: 3.707

Review 3.  Insights into the Pathogenesis of Viral Haemorrhagic Fever Based on Virus Tropism and Tissue Lesions of Natural Rift Valley Fever.

Authors:  Lieza Odendaal; A Sally Davis; Estelle H Venter
Journal:  Viruses       Date:  2021-04-20       Impact factor: 5.048

4.  Vaccination with Rift Valley fever virus live attenuated vaccine strain Smithburn caused meningoencephalitis in alpacas.

Authors:  Tasneem Anthony; Antoinette van Schalkwyk; Marco Romito; Lieza Odendaal; Sarah J Clift; A Sally Davis
Journal:  J Vet Diagn Invest       Date:  2021-05-27       Impact factor: 1.569

Review 5.  Systematic literature review of Rift Valley fever virus seroprevalence in livestock, wildlife and humans in Africa from 1968 to 2016.

Authors:  Madeleine H A Clark; George M Warimwe; Antonello Di Nardo; Nicholas A Lyons; Simon Gubbins
Journal:  PLoS Negl Trop Dis       Date:  2018-07-23
  5 in total

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