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.
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.
1Lieza Odendaal, Department of Paraclinical Sciences, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, South Africa. lieza.odendaal@up.ac.za.
Lieza
L
Odendaal
Geoffrey T
GT
Fosgate
Marco
M
Romito
Jacobus A W
JA
Coetzer
Sarah J
SJ
Clift
D000818:Animals; D001499:Bayes Theorem; D002417:Cattle; D002418:Cattle Diseases / Q000175:diagnosis / Q000821:virology*; D007150:Immunohistochemistry / Q000662:veterinary; D008107:Liver Diseases / Q000175:diagnosis / Q000662:veterinary* / Q000821:virology; D015233:Models, Statistical; D012367:RNA, Viral / Q000737:chemistry / Q000235:genetics; D060888:Real-Time Polymerase Chain Reaction / Q000379:methods / Q000592:standards / Q000662:veterinary*; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012295:Rift Valley Fever / Q000175:diagnosis / Q000662:veterinary* / Q000821:virology; D012296:Rift Valley fever virus / Q000235:genetics / Q000302:isolation & purification*; D012680:Sensitivity and Specificity; D012756:Sheep; D012757:Sheep Diseases / Q000175:diagnosis / Q000821:virology*; D013019:South Africa
D012367:RNA, Viral
Bayesian; Rift Valley fever; diagnosis; histopathology; immunohistochemical labeling; latent-class model; real-time reverse transcription polymerase chain reaction; sensitivity; specificity