Literature DB >> 27412377

Investigation of the use of serology and ultrasonography to detect hepatic cystic echinococcosis in Heilongjiang, China, using a Bayesian framework.

Su Han1, Rui Chen2, Wenjuan Fang3, Rong Fu4, Jingshan Wen5, Xiaoli Zhang6, Xiao Ma7.   

Abstract

BACKGROUND: Cystic echinococcosis (CE) is a public health problem in China. However, the prevalence and incidence of CE in Heilongjiang province is still poorly understood. Because there is no perfect gold standard, evaluation of ultrasound (US) and serological methods have been limited. This study evaluated the use of these two diagnostic methods for the diagnosis of CE in suspected cases.
METHODS: A total of 522 suspected hepatic CE patients, as well as their demographic and clinical features were collected and detected by immunoglobulin (IgG)-ELISA and US. The marginal posterior densities of sensitivity and specificity for both tests, and the prevalence of hepatic CE amongst participants, were estimated from the product of the likelihood function of observed and latent data by a Bayesian framework.
RESULTS: Most of the patients were from rural areas. The most common symptom was upper abdominal pain. The antibody-positive proportion determined by IgG-ELISA was 24.33% (127/522), significantly higher than with US examination (17.24%, 90/522). Bayesian analysis indicated that the estimated prevalence of CE amongst suspected cases was 17.70% (95% credible interval: 14.23-21.54%). The sensitivity and specificity of the ELISA test were 92.63% and 90.37%, and that of US were 93.05% and 98.44%, respectively. Among US-confirmed hepatic CE cases, the male to female ratio was 0.46 and the peak age group was 40-49 years.
CONCLUSIONS: The results of the current study demonstrate that CE is present in Heilongjiang province. They also suggest that, whilst ultrasonography appears to be the detection modality of choice, serology may have a use for detection of infection in individuals suspected to be infected. This may have applications for surveillance within the province.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bayesian modeling; Cystic echinococcosis; Diagnosis; ELISA; Ultrasound

Mesh:

Year:  2016        PMID: 27412377     DOI: 10.1016/j.actatropica.2016.07.002

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  2 in total

1.  CT Scanning in Identification of Sheep Cystic Echinococcosis.

Authors:  Rui Mao; Hongzhi Qi; Lei Pei; Jie Hao; Jian Dong; Tao Jiang; Abudula Ainiwaer; Ge Shang; Lin Xu; Xi Shou; Songan Zhang; Ge Wu; Pengfei Lu; Yongxing Bao; Haitao Li
Journal:  Biomed Res Int       Date:  2017-08-31       Impact factor: 3.411

2.  Differentiation between hepatic cystic echinococcosis types 1 and simple hepatic cysts: A retrospective analysis.

Authors:  Bo Ran; Tuerganaili Aji; Tieming Jiang; Ruiqing Zhang; Qiang Guo; Abuduaini Abulizi; Yusfu Yimiti; Hao Wen; Yingmei Shao
Journal:  Medicine (Baltimore)       Date:  2019-01       Impact factor: 1.889

  2 in total

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