Chinese Journal of Antituberculosis ›› 2025, Vol. 47 ›› Issue (4): 471-476.doi: 10.19982/j.issn.1000-6621.20240383
• Original Articles • Previous Articles Next Articles
Zhu Mingzhi, Shao Yanqin, Fan Dapeng, Liu Libin, Mei Bin, Dai Lingshan, Cai Long()
Received:
2024-09-03
Online:
2025-04-10
Published:
2025-04-02
Contact:
Cai Long, Email: Supported by:
CLC Number:
Zhu Mingzhi, Shao Yanqin, Fan Dapeng, Liu Libin, Mei Bin, Dai Lingshan, Cai Long. Diagnostic value of urine lipoarabinomannan antigen detection in extrapulmonary tuberculosis[J]. Chinese Journal of Antituberculosis, 2025, 47(4): 471-476. doi: 10.19982/j.issn.1000-6621.20240383
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.zgflzz.cn/EN/10.19982/j.issn.1000-6621.20240383
资料 | 合计(92例) | EPTB患者(67例) | 非EPTB患者(25例) | χ2值 | P值 |
---|---|---|---|---|---|
性别 | 4.109 | 0.043 | |||
男性 | 43 | 27(40.3) | 16(64.0) | ||
女性 | 49 | 40(59.7) | 9(36.0) | ||
年龄组 | 8.422 | 0.015 | |||
<30岁 | 11 | 11(16.4) | 0(0.0) | ||
30~59岁 | 48 | 37(55.2) | 11(44.0) | ||
≥60岁 | 33 | 19(28.4) | 14(56.0) | ||
样本来源 | 2.213 | 0.497 | |||
淋巴结 | 40 | 33(49.4) | 7(28.0) | ||
骨与关节 | 16 | 8(11.9) | 8(32.0) | ||
心包 | 14 | 9(13.4) | 5(20.0) | ||
泌尿生殖系统 | 11 | 9(13.4) | 2(8.0) | ||
其他来源a | 11 | 8(11.9) | 3(12.0) | ||
肺外样本类型 | 6.806 | 0.132 | |||
组织 | 49 | 35(52.3) | 14(56.0) | ||
脓液 | 14 | 12(17.9) | 2(8.0) | ||
尿液 | 10 | 8(11.9) | 2(8.0) | ||
其他类型b | 19 | 12(17.9) | 7(28.0) |
类别 | 综合诊断患者 | 敏感度 (%,95%CI) | 特异度 (%,95%CI) | 阳性预测值 (%,95%CI) | 阴性预测值 (%,95%CI) | |
---|---|---|---|---|---|---|
EPTB(67例) | 非EPTB(25例) | |||||
LAM | 49.3 (36.8~61.8) | 92.0 (74.0~99.0) | 94.3 (81.0~98.5) | 40.4 (34.2~46.8) | ||
阳性 | 33 | 2a | ||||
阴性 | 34 | 23 | ||||
Xpert | 49.3 (36.8~61.8) | 100.0 (86.3~100.0) | 100.0 (89.4~100.0) | 42.4 (36.7~48.2) | ||
阳性 | 33 | 0 | ||||
阴性 | 34 | 25 | ||||
LAM+Xpert | 73.1 (60.9~83.2) | 92.0 (74.0~99.0) | 96.1 (86.5~98.9) | 56.1 (45.8~65.9) | ||
阳性 | 49 | 2a | ||||
阴性 | 18 | 23 |
[1] |
Muneer A, Macrae B, Krishnamoorthy S, et al. Urogenital tuberculosis-epidemiology, pathogenesis and clinical features. Nat Rev Urol, 2019, 16(10):573-598. doi:10.1038/s41585-019-0228-9.
pmid: 31548730 |
[2] | 胡鑫洋, 高静韬. 世界卫生组织《2024年全球结核病报告》解读. 结核与肺部疾病杂志, 2024, 5(6): 500-504. doi:10.19983/j.issn.2096-8493.2024164. |
[3] | Baykan AH, Sayiner HS, Aydin E, et al. Extrapulmonary tuberculosis: an old but resurgent problem. Insights Imaging, 2022, 13(1): 39. doi:10.1186/s13244-022-01172-0. |
[4] | 刘燕飞, 李涛, 夏愔愔, 等. 2018—2020年结核病定点医院肺外结核和结核性胸膜炎患者次均住院费用及影响因素分析. 中国防痨杂志, 2024, 46(5): 509-518. doi:10.19982/j.issn.1000-6621.20230376. |
[5] | 刘燕飞, 李涛, 夏愔愔, 等. 2018—2020年9家结核病定点医院肺外结核病住院患者特征分析. 疾病监测, 2023, 38(10): 1223-1228. doi:10.3784/jbjc.202212260551. |
[6] | Sigal GB, Pinter A, Lowary TL, et al. A Novel Sensitive Immunoassay Targeting the 5-Methylthio-d-Xylofuranose-Lipoarabinomannan Epitope Meets the WHO’s Performance Target for Tuberculosis Diagnosis. J Clin Microbiol, 2018, 56(12): e01338-18. doi:10.1128/JCM.01338-18. |
[7] | Correia-Neves M, Fröberg G, Korshun L, et al. Biomarkers for tuberculosis: the case for lipoarabinomannan. ERJ Open Res, 2019, 5(1): 00115-2018. doi:10.1183/23120541.00115-2018. |
[8] | Bulterys MA, Wagner B, Redard-Jacot M, et al. Point-Of-Care Urine LAM Tests for Tuberculosis Diagnosis: A Status Update. J Clin Med, 2019, 9(1): 111. doi:10.3390/jcm9010111. |
[9] |
Lyu M, Zhou Y, Chen Y, et al. Exploring the eligibility of all reported lipoarabinomannan-testing assays in different clinical situations: a systematic review and meta-analysis of 97 articles. Int J Infect Dis, 2022, 125: 19-34. doi:10.1016/j.ijid.2022.10.015.
pmid: 36244601 |
[10] | Bjerrum S, Broger T, Székely R, et al. Diagnostic Accuracy of a Novel and Rapid Lipoarabinomannan Test for Diagnosing Tuberculosis Among People With Human Immunodeficiency Virus. Open Forum Infect Dis, 2019, 7(1): ofz530. doi:10.1093/ofid/ofz530. |
[11] |
Minion J, Leung E, Talbot E, et al. Diagnosing tuberculosis with urine lipoarabinomannan: systematic review and meta-analysis. Eur Respir J, 2011, 38(6): 1398-1405. doi:10.1183/09031936.00025711.
pmid: 21700601 |
[12] | Broger T, Nicol MP, Sigal GB, et al. Diagnostic accuracy of 3 urine lipoarabinomannan tuberculosis assays in HIV-negative outpatients. J Clin Invest, 2020, 130(11): 5756-5764. doi:10.1172/JCI140461. |
[13] |
Huerga H, Bastard M, Lubega AV, et al. Novel FujiLAM assay to detect tuberculosis in HIV-positive ambulatory patients in four African countries: a diagnostic accuracy study. Lancet Glob Health, 2023, 11(1): e126-e135. doi:10.1016/S2214-109X(22)00463-6.
pmid: 36521944 |
[14] | Peng L, Dai L, Zhu M, et al. Developing a method to detect lipoarabinomannan in pleural fluid and assessing its diagnostic efficacy for tuberculous pleural effusion. Heliyon, 2023, 9(8): e18949. doi:10.1016/j.heliyon.2023.e18949. |
[15] | 中华人民共和国国家卫生和计划生育委员会. WS 288—2017肺结核诊断. 结核与肺部疾病杂志, 2024, 5(4): 376-378. doi:10.19983/j.issn.2096-8493.2024022. |
[16] | 中华人民共和国国家卫生和计划生育委员会. WS 196—2017结核病分类. 结核与肺部疾病杂志, 2024, 5(4): 379-380. doi:10.19983/j.issn.2096-8493.2024055. |
[17] | 刘喆, 赵强, 张樱, 等. 实时荧光定量核酸扩增技术在结核筛查诊断中的临床应用研究. 中华医院感染学杂志, 2019, 29(23): 3535-3538. doi:10.11816/cn.ni.2019-190103. |
[18] | Kohli M, Schiller I, Dendukuri N, et al. Xpert MTB/RIF assay for extrapulmonary tuberculosis and rifampicin resis-tance. Cochrane Database Syst Rev, 2018, 8(8): CD012768. doi:10.1002/14651858.CD012768.pub2. |
[19] |
Lee MK, Moon C, Lee MJ, et al. Risk factors for the delayed diagnosis of extrapulmonary TB. Int J Tuberc Lung Dis, 2021, 25(3): 191-198. doi:10.5588/ijtld.20.0788.
pmid: 33688807 |
[20] | 孙金昊, 陶磊, 贺向红, 等. Gene Xpert MTB/RIF系统、MGIT-960快速培养系统及药敏检测肺结核患者痰标本、支气管肺泡灌洗液标本阳性率比较及耐药分析. 临床军医杂志, 2022, 50(12): 1275-1277, 1281. doi:10.16680/j.1671-3826.2022.12.19. |
[21] | 席素雅, 刘薇, 乔庆哲, 等. 白细胞介素-27、腺苷脱氢酶、基因检测、结核杆菌培养对结核性胸腔积液诊断价值研究. 临床军医杂志, 2023, 51(2): 173-175. doi:10.16680/j.1671-3826.2023.02.17. |
[22] | 董裕, 张福真, 尚媛媛, 等. GeneXpert MTB/RIF Ultra在肺外结核诊断中的研究进展. 中国防痨杂志, 2023, 45(12): 1193-1197. doi:10.19982/j.issn.1000-6621.20230357. |
[23] | 张天辉, 马子淳, 刘荣梅, 等. 基于尿液的脂阿拉伯甘露聚糖抗原检测对肺结核的诊断价值. 中华结核和呼吸杂志, 2024, 47(2): 132-136. doi:10.3760/cma.j.cn112147-20230814-00074. |
[24] | Gao M, Wu Q, Wang X, et al. Advancements in LAM-based diagnostic kit for tuberculosis detection: enhancing TB diagnosis in HIV-negative individuals. Front Microbiol, 2024, 15: 1367092. doi:10.3389/fmicb.2024.1367092. |
[25] | Li TX, Wang J, Yang YS, et al. Evaluation of Xpert MTB/RIF assay for the diagnosis of extrapulmonary tuberculosis in Southwest China. PLoS Negl Trop Dis, 2023, 17(6): e0011403. doi:10.1371/journal.pntd.0011403. |
[26] | Cox JA, Lukande RL, Kalungi S, et al. Is Urinary Lipoarabinomannan the Result of Renal Tuberculosis? Assessment of the Renal Histology in an Autopsy Cohort of Ugandan HIV-Infected Adults. PLoS One, 2015, 10(4): e0123323. doi:10.1371/journal.pone.0123323. |
[27] | Moule MG, Cirillo JD. Mycobacterium tuberculosis Dissemination Plays a Critical Role in Pathogenesis. Front Cell Infect Microbiol, 2020, 10: 65. doi:10.3389/fcimb.2020.00065. |
[28] |
Rodriguez-Takeuchi SY, Renjifo ME, Medina FJ. Extrapulmonary Tuberculosis: Pathophysiology and Imaging Findings. Radiographics, 2019, 39(7): 2023-2037. doi:10.1148/rg.2019190109.
pmid: 31697616 |
[29] |
MacLean E, Pai M. Urine Lipoarabinomannan for Tuberculosis Diagnosis: Evolution and Prospects. Clin Chem, 2018, 64(8): 1133-1135. doi:10.1373/clinchem.2018.286625.
pmid: 29632129 |
[1] | Senior Department of Tuberculosis, the 8th Medical Center of Chinese PLA General Hospital , Editorial Board of Chinese Journal of Antituberculosis , Basic and Clinical Speciality Committees of Tuberculosis Control Branch of China International Exchange , Promotive Association for Medical and Health Care . Expert consensus on multidisciplinary diagnosis and treatment of tuberculous peritonitis [J]. Chinese Journal of Antituberculosis, 2025, 47(3): 243-257. |
[2] | Duan Hongfei, Tao Yong. Interpretation of social organization standard of Diagnosis Specification of Intraocular Tuberculosis [J]. Chinese Journal of Antituberculosis, 2025, 47(3): 258-261. |
[3] | Jia Hui, Jing Hui, Ling Xiaojie, Wang Yan, Li Xuezheng. The diagnostic value of GeneXpert MTB/RIF Ultra in detecting sputum samples for newly diagnosed pulmonary tuberculosis [J]. Chinese Journal of Antituberculosis, 2025, 47(3): 298-304. |
[4] | Shi Yuru, Gu Dejian, Wu Jing, Liu Ting, Qin Linghan, Yue Li, Qi Yingjie. Diagnostic value of probe capture-based targeted next-generation sequencing and metagenomic next-generation sequencing for detecting Mycobacterium tuberculosis in bronchoalveolar lavage fluid [J]. Chinese Journal of Antituberculosis, 2025, 47(3): 305-311. |
[5] | Yang Ziyi, Chen Suting. Research progress on bedaquiline resistance and drug resistance diagnosis [J]. Chinese Journal of Antituberculosis, 2025, 47(3): 374-379. |
[6] | Qiu Yong, Quan Zhuo, Qu Rong, Tian Fajun, Li Meng, Wang Gengsheng, Wang Ya, Guo Mingcheng, Gao Qian. Evaluation of different tuberculosis diagnostic tools for detecting patients in a primary-level clinic in rural China: a real-world retrospective study [J]. Chinese Journal of Antituberculosis, 2025, 47(2): 181-188. |
[7] | Zhao Yue, Wang Haoran, Cheng Meijin, Wang Wei, Liang Ruixia, Huang Hairong. The evaluation of the smear-positive and Xpert-negative outcome as an early indicator of nontuberculous mycobacteria existence in clinical specimen [J]. Chinese Journal of Antituberculosis, 2025, 47(1): 61-65. |
[8] | Wang Xiaomin, Chen Jinyun, Zeng Yuqin, Ma Quan, Kong Xingxing, Meng Jianzhou, Lu Shuihua. Interpretation of the third edition of WHO consolidated guidelines on tuberculosis: module 3: diagnosis: rapid diagnostics for tuberculosis detection [J]. Chinese Journal of Antituberculosis, 2024, 46(9): 1006-1022. |
[9] | Mei Chunlin, Yang Chengqing, Du Ronghui, Cao Tanze, Feng Wei, Chen Shufang, Liu Xiuping, Ou Jiali. Diagnostic accuracy of GeneXpert MTB/RIF in detecting pulmonary tuberculosis with extremely low loads of MTB in bronchoalveolar lavage fluid in general hospitals [J]. Chinese Journal of Antituberculosis, 2024, 46(9): 1037-1041. |
[10] | Zhong Lingshan, Wang Li, Zhang Shuo, Li Nan, Yang Qingyuan, Ding Wenlong, Chen Xingzhi, Huang Chencui, Xing Zhiheng. A machine learning model based on CT images combined with radiomics and semantic features for diagnosis of nontuberculous mycobacterium lung disease and pulmonary tuberculosis [J]. Chinese Journal of Antituberculosis, 2024, 46(9): 1042-1049. |
[11] | Li Wenhan, Yang Jing, Li Chunhua. Research progress of artificial intelligence in pulmonary tuberculosis imaging diagnosis and drug resistance prediction [J]. Chinese Journal of Antituberculosis, 2024, 46(9): 1098-1103. |
[12] | Duan Hongfei. Diagnosis and treatment of nontuberculous mycobacteria diseases in the past 60 years [J]. Chinese Journal of Antituberculosis, 2024, 46(8): 863-868. |
[13] | Zhang Hui, Ge Li, Zhang Yuhan, Feng Ruie. Clinicopathologic characteristics of 34 cases non-tuberculous mycobacterial disease [J]. Chinese Journal of Antituberculosis, 2024, 46(7): 756-762. |
[14] | Zhang Muli, Sun Zhaogang, Cao Tingming, Xie Zhongyao. The value of three proteins in diagnosing Mycobacterium tuberculosis infection [J]. Chinese Journal of Antituberculosis, 2024, 46(7): 808-814. |
[15] | Wu Jinfeng, Yang Zhen, Zhang Fuzhen, Yao Cong. Meta-analysis of the diagnostic value of oral swab for pulmonary tuberculosis [J]. Chinese Journal of Antituberculosis, 2024, 46(7): 815-822. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||