Literature DB >> 32990820

Comparison of the CapitalBio™Mycobacterium RT-PCR detection test and Xpert MTB/RIF assay for diagnosis of renal tuberculosis.

Pengju Liu1, Yeqiang Wang1, Sida Hao1, Yong Qin2.   

Abstract

The purpose of this study is to compare the efficiency difference between CapitalBio™Mycobacterium real-time polymerase chain reaction (RT-PCR) detection test and Xpert MTB/RIF assay for the diagnosis of renal tuberculosis (TB). We analyzed 117 samples collected between July 1, 2018, and October 31, 2019, from patients with suspected renal TB to determine the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) of the CapitalBio™ Mycobacterium RT-PCR detection test for renal TB and to evaluate its diagnostic accuracy compared with Xpert MTB/RIF assay. Five cases were excluded from this study because of incomplete data. Taking clinical diagnosis as the gold standard, for the Xpert MTB/RIF assay, the sensitivity was 87.95% (78.96-94.07%), specificity 96.55% (82.24-99.91%), PPV 98.65% (92.70-99.97%), NPV 73.68% (56.90-86.60%), and AUC 0.92 (0.86-0.96). For the CapitalBio™Mycobacterium RT-PCR detection test, the overall sensitivity was 84.34% (74.71-91.39%), specificity 93.10% (77.23-99.15%), PPV 97.22% (90.32-99.66%), NPV 67.50% (50.87-81.43%), and AUC 0.89(0.81-0.94). The diagnostic efficiency of the CapitalBio™Mycobacterium RT-PCR detection test was similar to that of the Xpert MTB/RIF assay in patients with renal TB. Hence, the CapitalBio™Mycobacterium RT-PCR detection test presents a valuable alternative for the diagnosis of renal TB.

Entities:  

Keywords:  CapitalBio™ Mycobacterium RT-PCR detection test; Clinical diagnosis; Gold standard; Renal tuberculosis; Xpert MTB/RIF assay

Mesh:

Year:  2020        PMID: 32990820     DOI: 10.1007/s10096-020-04052-x

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  20 in total

1.  Extrapulmonary tuberculosis: clinical and epidemiologic spectrum of 636 cases.

Authors:  Ahmet Ilgazli; Haşim Boyaci; Ilknur Basyigit; Füsun Yildiz
Journal:  Arch Med Res       Date:  2004 Sep-Oct       Impact factor: 2.235

2.  Diagnosis of extrapulmonary tuberculosis using the Xpert(®) MTB/RIF assay.

Authors:  Stephen D Lawn; Alimuddin I Zumla
Journal:  Expert Rev Anti Infect Ther       Date:  2012-06       Impact factor: 5.091

3.  Extrapulmonary tuberculosis in the northeastern suburbs of Paris: 141 cases.

Authors: 
Journal:  Eur J Intern Med       Date:  2000-06       Impact factor: 4.487

Review 4.  Diagnostic accuracy of the Xpert® MTB/RIF assay for extra-pulmonary tuberculosis: a meta-analysis.

Authors:  E Penz; J Boffa; D J Roberts; D Fisher; R Cooper; P E Ronksley; M T James
Journal:  Int J Tuberc Lung Dis       Date:  2015-03       Impact factor: 2.373

5.  Challenges in urogenital tuberculosis.

Authors:  Ekaterina Kulchavenya; Denis Kholtobin; Sergey Shevchenko
Journal:  World J Urol       Date:  2019-04-17       Impact factor: 4.226

6.  EAU guidelines for the management of genitourinary tuberculosis.

Authors:  Mete Cek; Severin Lenk; Kurt G Naber; Michael C Bishop; Truls E Bjerklund Johansen; Henry Botto; Magnus Grabe; Bernard Lobel; Juan Palou Redorta; Peter Tenke
Journal:  Eur Urol       Date:  2005-03-16       Impact factor: 20.096

7.  Extra-pulmonary and pulmonary tuberculosis in Hong Kong.

Authors:  K Noertjojo; C M Tam; S L Chan; M M W Chan-Yeung
Journal:  Int J Tuberc Lung Dis       Date:  2002-10       Impact factor: 2.373

8.  Diagnostic accuracy of Xpert MTB/RIF for extrapulmonary tuberculosis specimens: establishing a laboratory testing algorithm for South Africa.

Authors:  Lesley Erica Scott; Natalie Beylis; Mark Nicol; Gloria Nkuna; Sebaka Molapo; Leigh Berrie; Adriano Duse; Wendy Susan Stevens
Journal:  J Clin Microbiol       Date:  2014-03-12       Impact factor: 5.948

9.  Peritoneal tuberculosis presenting as recurrent peritonitis secondary to treatment with intravesical Bacillus Calmette-Guérin in a patient receiving peritoneal dialysis.

Authors:  Junaid Iqbal; Maria Raja; Janson Leung
Journal:  Clin Kidney J       Date:  2014-12-30

Review 10.  Mycobacterial genomics and structural bioinformatics: opportunities and challenges in drug discovery.

Authors:  Vaishali P Waman; Sundeep Chaitanya Vedithi; Sherine E Thomas; Bridget P Bannerman; Asma Munir; Marcin J Skwark; Sony Malhotra; Tom L Blundell
Journal:  Emerg Microbes Infect       Date:  2019       Impact factor: 7.163

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