Diagnostic Test Accuracy in Childhood Pulmonary Tuberculosis: A Bayesian Latent Class Analysis

被引:51
|
作者
Schumacher, Samuel G. [2 ]
van Smeden, Maarten [1 ]
Dendukuri, Nandini [2 ]
Joseph, Lawrence [2 ]
Nicol, Mark P. [3 ,4 ]
Pai, Madhukar [2 ,5 ]
Zar, Heather J. [6 ,7 ,8 ]
机构
[1] Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Univ Weg 100, NL-3584 CG Utrecht, Netherlands
[2] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
[3] Univ Cape Town, Inst Infect Dis & Mol Med, Div Med Microbiol, Cape Town, South Africa
[4] Groote Schuur Hosp, Natl Hlth Lab Serv, Cape Town, South Africa
[5] McGill Univ, Ctr Hlth, McGill Int TB Ctr, Montreal, PQ, Canada
[6] Univ Cape Town, Dept Paediat & Child Hlth, Cape Town, South Africa
[7] Univ Cape Town, MRC, Unit Child & Adolescent Hlth, Cape Town, South Africa
[8] Red Cross War Mem Childrens Hosp, Cape Town, South Africa
基金
英国医学研究理事会; 美国国家卫生研究院; 加拿大健康研究院;
关键词
childhood pulmonary tuberculosis; diagnosis; latent class analysis; overtreatment; sensitivity; specificity; CLINICAL CASE DEFINITIONS; INTRATHORACIC TUBERCULOSIS; XPERT MTB/RIF; PRIOR INFORMATION; CLASS MODELS; CHILDREN; CLASSIFICATION; SENSITIVITY; CONSENSUS; DISEASE;
D O I
10.1093/aje/kww094
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Evaluation of tests for the diagnosis of childhood pulmonary tuberculosis (CPTB) is complicated by the absence of an accurate reference test. We present a Bayesian latent class analysis in which we evaluated the accuracy of 5 diagnostic tests for CPTB. We used data from a study of 749 hospitalized South African children suspected to have CPTB from 2009 to 2014. The following tests were used: mycobacterial culture, smear microscopy, Xpert MTB/RIF (Cepheid Inc.), tuberculin skin test (TST), and chest radiography. We estimated the prevalence of CPTB to be 27% (95% credible interval (CrI): 21, 35). The sensitivities of culture, Xpert, and smear microscopy were estimated to be 60% (95% CrI: 46, 76), 49% (95% CrI: 38, 62), and 22% (95% CrI: 16, 30), respectively; specificities of these tests were estimated in accordance with prior information and were close to 100%. Chest radiography was estimated to have a sensitivity of 64% (95% CrI: 55, 73) and a specificity of 78% (95% CrI: 73, 83). Sensitivity of the TST was estimated to be 75% (95% CrI: 61, 84), and it decreased substantially among children who were malnourished and infected with human immunodeficiency virus (56%). The specificity of the TST was 69% (95% CrI: 63%, 76%). Furthermore, it was estimated that 46% (95% CrI: 42, 49) of CPTB-negative cases and 93% (95% CrI: 82; 98) of CPTB-positive cases received antituberculosis treatment, which indicates substantial overtreatment and limited undertreatment.
引用
下载
收藏
页码:690 / 700
页数:11
相关论文
共 50 条
  • [31] Bayesian Assessment of the Accuracy of a PCR-Based Rapid Diagnostic Test for Bovine Tuberculosis in Swine
    Barandiaran, Soledad
    Perez Aguirreburualde, Maria Sol
    Jimena Marfil, Maria
    Martinez Vivot, Marcela
    Aznar, Natalia
    Zumarraga, Martin
    Perez, Andres M.
    FRONTIERS IN VETERINARY SCIENCE, 2019, 6
  • [32] A systematic review and meta-analysis of diagnostic test accuracy of chest ultrasound in diagnosing pediatric pulmonary tuberculosis
    Muljadi, Rusli
    Koesbandono
    Octavius, Gilbert S.
    PEDIATRIC PULMONOLOGY, 2024,
  • [33] LATENT CLASS ANALYSIS OF DIAGNOSTIC AGREEMENT
    UEBERSAX, JS
    GROVE, WM
    STATISTICS IN MEDICINE, 1990, 9 (05) : 559 - 572
  • [34] Evaluating diagnostic tests for bovine tuberculosis in the southern part of Germany: A latent class analysis
    Pucken, Valerie-Beau
    Knubben-Schweizer, Gabriela
    Dopfer, Dorte
    Groll, Andreas
    Hafner-Marx, Angela
    Hoermansdorfer, Stefan
    Sauter-Louis, Carola
    Straubinger, Reinhard K.
    Zimmermann, Pia
    Hartnack, Sonja
    PLOS ONE, 2017, 12 (06):
  • [35] Diagnostic Accuracy of a Bayesian Latent Group Analysis for the Detection of Malingering-Related Poor Effort
    Ortega, Alonso
    Labrenz, Stephan
    Markowitsch, Hans J.
    Piefke, Martina
    CLINICAL NEUROPSYCHOLOGIST, 2013, 27 (06) : 1019 - 1042
  • [36] What does IGRA testing add to the diagnosis of ocular tuberculosis? A Bayesian latent class analysis
    Rupesh Agrawal
    Robert Grant
    Bhaskar Gupta
    Dinesh Visva Gunasekeran
    Julio J. Gonzalez-Lopez
    Peter K. F. Addison
    Mark Westcott
    Carlos E. Pavesio
    BMC Ophthalmology, 17
  • [37] What does IGRA testing add to the diagnosis of ocular tuberculosis? A Bayesian latent class analysis
    Agrawal, Rupesh
    Grant, Robert
    Gupta, Bhaskar
    Gunasekeran, Dinesh Visva
    Gonzalez-Lopez, Julio J.
    Addison, Peter K. F.
    Westcott, Mark
    Pavesio, Carlos E.
    BMC OPHTHALMOLOGY, 2017, 17 : 245
  • [38] Accuracy of Administrative Health Data for Surveillance of Traumatic Brain Injury: A Bayesian Latent Class Analysis
    Lasry, Oliver
    Dendukuri, Nandini
    Marcoux, Judith
    Buckeridge, David L.
    EPIDEMIOLOGY, 2018, 29 (06) : 876 - 884
  • [39] Finally, a perfect diagnostic test for pulmonary tuberculosis - or is it?
    Sood, Akshay
    Schuyler, Mark
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2006, 174 (09) : 963 - 964
  • [40] Diagnostic Accuracy of Clinical Diagnostic Scoring Systems for Childhood Tuberculosis: A Systematic Review and Meta-analysis
    Kakinda, Michael
    Olum, Ronald
    Baluku, Joseph Baruch
    Bongomin, Felix
    OPEN FORUM INFECTIOUS DISEASES, 2024, 11 (01):