Journal of Peking University (Health Sciences) ›› 2024, Vol. 56 ›› Issue (6): 1047-1051. doi: 10.19723/j.issn.1671-167X.2024.06.016

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Clinical value of automated EasyNAT system for the diagnosis of tuberculosis in paraffin-embedded tissues

Jialu CHE, Zichen LIU, Kun LI, Chen ZHANG, Nanying CHE*()   

  1. Department of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
  • Received:2022-10-13 Online:2024-12-18 Published:2024-12-18
  • Contact: Nanying CHE E-mail:cheny0448@163.com
  • Supported by:
    the National Natural Science Foundation of China(82072381);the National Natural Science Foundation of China(31900098);the Beijing Municipal Science and Technology Project(Z181100001918027);the Beijing Municipal Science and Technology Project(Z191100006619079);the Tongzhou High-level Technique Talents Program(YHLD2018006)

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Abstract:

Objective: Assessing the accuracy of automated EasyNAT system for rapidly detecting paraffin-embedded tissue for the diagnosis of tuberculosis. Methods: A retrospective analysis was conducted on 134 patients, comprising 101 with confirmed tuberculosis and 33 without tuberculosis, treated at Beijing Chest Hospital, Capital Medical University, between 2018 and 2022.The clinical diagnostic results served as the standard for assessing the diagnostic performance of the EasyNAT system in comparison to quantitative real-time polymerase chain reaction (qPCR) for tuberculosis detection in paraffin-embedded tissues.The evaluation criteria included sensitivity, specificity, positive predictive value, negative predictive value, and accuracy rate. Results: Based on the clinical diagnostic results, the EasyNAT assay demonstrated a sensitivity of 87.1%(88/101, 95%CI: 79.2%-92.3%)and a specificity of 100.0%(33/33, 95%CI: 89.6%-100.0%).The positive predictive value, negative predictive value, and accuracy rate were 100% (88/88, 95%CI: 95.8%-100.0%), 71.7%(33/46, 95%CI: 57.5%-82.7%), and 90.3%(121/134, 95%CI: 84.1%-94.2%), respectively.In comparison, the qPCR assay exhibited a sensitivity of 96.0%(90.3%-98.5%)and a specificity of 100.0%(89.6%-100.0%).The positive predictive value, negative predictive value, and accuracy rate for qPCR were 100.0%(96.2%-100.0%), 89.2%(75.3%- 95.7%), and 97.0%(92.6%-98.8%).The Cohen's kappa value of 0.84 indicated substantial agreement between EasyNAT and qPCR.The detection rate of tuberculosis using this method was 86.4%(38/44, 95%CI: 73.3%-93.6%), while the detection rate for extrapulmonary tuberculosis was 87.7%(50/57, 95%CI: 76.8%-93.9%).In comparison, qPCR showed a detection rate of 97.7%(88.2%- 99.6%) for pulmonary tuberculosis and 94.7%(85.6%-98.6%)for extrapulmonary tuberculosis.There was no statistically significant difference in the detection results between the method and qPCR for both pulmonary and extrapulmonary tuberculosis(P>0.05).Importantly, the EasyNAT detection combined nucleic acid extraction, amplification, and analysis into one process.Compared with traditional qPCR methods, manual operation time was reduced by 2 hours, leading to an overall reduction in total testing time by 3 hours. Conclusion: The EasyNAT nucleic acid rapid detection system can quickly, conveniently, and accurately detect Mycobacterium tuberculosis DNA in paraffin-embedded tissues, demonstrating significant clinical utility in the pathological diagnosis of tuberculosis.

Key words: Tuberculosis, Diagnosis, Paraffin-embedded tissue, Molecular pathology, Cross-priming isothermal amplification technology

CLC Number: 

  • R52

Figure 1

Pathological image of tuberculosis tissue A, tuberculous granuloma (HE ×40); B, tuberculous granuloma (HE ×100); C, Mycobacterium tuberculosis(Ziehl-Neelson stain×1 000)."

Figure 2

qPCR and EasyNAT detection report graph A, results graph of quantitative real-time polymerase chain reaction (qPCR); B, negative control by EasyNAT detection; C, positive results graph of EasyNAT detection; TB, tuberclosis; Ti, time threshold."

Figure 3

Analytical flow chart TB, tuberculosis; qPCR, quantitative real-time polymerase chain reaction."

Table 1

Comparison of EasyNAT test and qPCR for detection of TB DNA in paraffin-embedded tissue"

Test assay Result TB Non-TB Sensitivity (95%CI) Specificity (95%CI) PPV (95%CI) NPV (95%CI) Accuracy (95%CI) Kappa
EasyNAT Positive 88 0 87.1 (79.2-92.3) 100.0 (89.6-100.0) 100.0(95.8-100.0) 71.7 (57.5-82.7) 90.3 (84.1-94.2)
Negative 13 33 0.8
qPCR Positive 97 0 96.0 (90.3-98.5) 100.0 (89.6-100.0) 100.0 (96.2-100.0) 89.2 (75.3-95.7) 97.0 (92.6-98.8)
Negative 4 33

Table 2

Comparison of positive rate between pulmonary TB and extrapulmonary TB with EasyNAT test and qPCR"

Test assay Classification Positive Negative Total Positive rate (95%CI) P value
EasyNAT Pulmonary TB 38 6 44 86.4 (73.3-93.6) >0.05
Extrapulmonary TB 50 7 57 87.7 (76.8-93.9)
qPCR Pulmonary TB 43 1 44 97.7 (88.2-99.6)
Extrapulmonary TB 54 3 57 94.7 (85.6-98.6)

Figure 4

The detection process of EasyNAT system"

1 Global tuberculosis report 2021(EB/OL). [2022-08-01]. https://www.who.int/teams/global-tuberculosis-programme/t-reports/global-tuberculosis-report-2021.
2 中国结核病病理学诊断专家共识[J]. 中华结核和呼吸杂志, 2017, 40(6): 419-425.
3 Suárez I , Fnger SM , Kröger S , et al.The diagnosis and treatment of tuberculosis[J].Dtsch Arztebl Int,2019,116(43):729-735.
4 中华医学会结核病学分会临床检验专业委员会.结核病病原学分子诊断专家共识[J].中华结核和呼吸杂志,2018,41(9):8.
5 中国医疗保健国际交流促进会临床微生物与感染分会, 中华医学会检验医学分会临床微生物学组, 中华医学会微生物学和免疫学分会临床微生物学组.综合医院结核分枝杆菌感染实验室检查共识[J].中华检验医学杂志,2022,45(4):343-353.
6 罗春英, 王建东, 王璇, 等.荧光定量聚合酶链反应检测石蜡包埋组织结核杆菌的应用价值[J].中华病理学杂志,2012,41(8):562-563.
7 郝颖华, 罗森源, 汤显斌.即时荧光定量PCR法对石蜡包埋组织中结核杆菌的检测价值探究[J].中华病理学杂志,2020,49(10):1068-1070.
8 Zhang Z , Du J , Liu T , et al.EasyNAT MTC assay: A simple, rapid, and low-cost cross-priming amplification method for the detection of Mycobacterium tuberculosis suitable for point-of-care testing[J].Emerg Microbes Infect,2021,10(1):1530-1535.
doi: 10.1080/22221751.2021.1959271
9 Fang R , Li X , Hu L , et al.Cross-priming amplification for rapid detection of Mycobacterium tuberculosis in sputum specimens[J].J Clin Microbiol,2009,47(3):845-847.
10 朱岩昆, 王宇, 靳晓伟, 等.交叉引物核酸恒温扩增技术在基层实验室诊断肺结核的应用价值[J].中国防痨杂志,2016,38(10):813-817.
11 中华人民共和国国家卫生和计划生育委员会. 结核病分类: WS196—2017[S/OL]. (2017-12-04)[2022-09-01]. http://www.sohu.com/a/208488734.771405.
12 肺结核诊断: WS 288—2017[J]. 中国感染控制杂志, 2018, 17(7): 642-652.
13 叶丰, 陈昱, 何度, 等.应用荧光定量聚合酶链反应对疑似结核组织的DNA分析[J].中华病理学杂志,2013,42(8):534-537.
14 方木通, 杨倩婷, 王仲元, 等.病理组织中的病原学检查对结核病的诊断价值[J].中华传染病杂志,2021,39(2):92-96.
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