Cargando…
Analysis of Drug-Resistant Tuberculosis in Children in Shenyang, China, 2017–2021
OBJECTIVE: Drug-resistant tuberculosis (DR-TB) in children seriously threatens TB control. Information on the epidemiology and characteristics of DR-TB in children in China is limited. We studied data in Shenyang Tenth People’s Hospital to understand the DR-TB epidemiology in children in Shenyang. D...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625755/ https://www.ncbi.nlm.nih.gov/pubmed/37933293 http://dx.doi.org/10.2147/IDR.S428720 |
_version_ | 1785131199785598976 |
---|---|
author | Sun, Jiao Fan, Lichao Zhao, Yanping Wu, Haoyu Li, Ran Tian, Yao Cheng, Moxin Ma, Xin Ma, Yingying Yang, Xinru Shen, Adong Yu, Yanhong Chen, Yu |
author_facet | Sun, Jiao Fan, Lichao Zhao, Yanping Wu, Haoyu Li, Ran Tian, Yao Cheng, Moxin Ma, Xin Ma, Yingying Yang, Xinru Shen, Adong Yu, Yanhong Chen, Yu |
author_sort | Sun, Jiao |
collection | PubMed |
description | OBJECTIVE: Drug-resistant tuberculosis (DR-TB) in children seriously threatens TB control. Information on the epidemiology and characteristics of DR-TB in children in China is limited. We studied data in Shenyang Tenth People’s Hospital to understand the DR-TB epidemiology in children in Shenyang. DESIGN OR METHODS: We retrospectively analyzed drug resistance testing data of pediatric TB patients between 2017 and 2021, and included 2976 clinically-diagnosed pediatric TB patients. We described the epidemiology of DR-TB and analyzed the trends of DR-TB incidence. The Kappa value was calculated to assess the agreement between MGIT 960 DST and Xpert MTB/RIF for detecting rifampicin resistance. Multivariate logistic regression was used to identify the risk factors for DR-TB in pediatric patients. RESULTS: Of the 2976 TB patients, 1076 were confirmed by MGIT 960 culture and/or Xpert MTB/RIF. Among the 806 patients identified by MGIT 960 culture, 232 cases (28.78%) were DR-TB. Resistance to the six drugs was in the following order: streptomycin (21.09%), isoniazid (9.35%), rifampin (15.01%), levofloxacin (6.20%), ethambutol (4.22%), and amikacin (3.23%). Alarmingly, 12.90% were MDR-TB (104/806), including 28 (3.47%) pre-XDR-TB. Of the 1076 pediatric TB patients, 295 (27.4%) developed DR-TB to any one drug (including 69 rifampicin-resistant cases identified by Xpert MTB/RIF only). No difference was found in the incidence of pediatric DR-TB between 2017 and 2021. Among 376 patients who were positive for both methods, using the MGIT 960 DST results as the gold standard, Xpert MTB/RIF’s sensitivity for detecting rifampicin resistance was 91.38% and its specificity was 94.65%. CONCLUSION: Between 2017 and 2021, the DR-TB incidence in children remained unchanged in Shenyang. RR-TB, MDR-TB, and even Pre-XDR-TB require attention in children with drug-resistant TB. Xpert MTB/RIF helped to detect more rifampicin-resistant pediatric patients; thus Xpert MTB/RIF should be widely used as an important complementary tool to detect rifampicin-resistant TB in children. |
format | Online Article Text |
id | pubmed-10625755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-106257552023-11-06 Analysis of Drug-Resistant Tuberculosis in Children in Shenyang, China, 2017–2021 Sun, Jiao Fan, Lichao Zhao, Yanping Wu, Haoyu Li, Ran Tian, Yao Cheng, Moxin Ma, Xin Ma, Yingying Yang, Xinru Shen, Adong Yu, Yanhong Chen, Yu Infect Drug Resist Original Research OBJECTIVE: Drug-resistant tuberculosis (DR-TB) in children seriously threatens TB control. Information on the epidemiology and characteristics of DR-TB in children in China is limited. We studied data in Shenyang Tenth People’s Hospital to understand the DR-TB epidemiology in children in Shenyang. DESIGN OR METHODS: We retrospectively analyzed drug resistance testing data of pediatric TB patients between 2017 and 2021, and included 2976 clinically-diagnosed pediatric TB patients. We described the epidemiology of DR-TB and analyzed the trends of DR-TB incidence. The Kappa value was calculated to assess the agreement between MGIT 960 DST and Xpert MTB/RIF for detecting rifampicin resistance. Multivariate logistic regression was used to identify the risk factors for DR-TB in pediatric patients. RESULTS: Of the 2976 TB patients, 1076 were confirmed by MGIT 960 culture and/or Xpert MTB/RIF. Among the 806 patients identified by MGIT 960 culture, 232 cases (28.78%) were DR-TB. Resistance to the six drugs was in the following order: streptomycin (21.09%), isoniazid (9.35%), rifampin (15.01%), levofloxacin (6.20%), ethambutol (4.22%), and amikacin (3.23%). Alarmingly, 12.90% were MDR-TB (104/806), including 28 (3.47%) pre-XDR-TB. Of the 1076 pediatric TB patients, 295 (27.4%) developed DR-TB to any one drug (including 69 rifampicin-resistant cases identified by Xpert MTB/RIF only). No difference was found in the incidence of pediatric DR-TB between 2017 and 2021. Among 376 patients who were positive for both methods, using the MGIT 960 DST results as the gold standard, Xpert MTB/RIF’s sensitivity for detecting rifampicin resistance was 91.38% and its specificity was 94.65%. CONCLUSION: Between 2017 and 2021, the DR-TB incidence in children remained unchanged in Shenyang. RR-TB, MDR-TB, and even Pre-XDR-TB require attention in children with drug-resistant TB. Xpert MTB/RIF helped to detect more rifampicin-resistant pediatric patients; thus Xpert MTB/RIF should be widely used as an important complementary tool to detect rifampicin-resistant TB in children. Dove 2023-11-01 /pmc/articles/PMC10625755/ /pubmed/37933293 http://dx.doi.org/10.2147/IDR.S428720 Text en © 2023 Sun et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Sun, Jiao Fan, Lichao Zhao, Yanping Wu, Haoyu Li, Ran Tian, Yao Cheng, Moxin Ma, Xin Ma, Yingying Yang, Xinru Shen, Adong Yu, Yanhong Chen, Yu Analysis of Drug-Resistant Tuberculosis in Children in Shenyang, China, 2017–2021 |
title | Analysis of Drug-Resistant Tuberculosis in Children in Shenyang, China, 2017–2021 |
title_full | Analysis of Drug-Resistant Tuberculosis in Children in Shenyang, China, 2017–2021 |
title_fullStr | Analysis of Drug-Resistant Tuberculosis in Children in Shenyang, China, 2017–2021 |
title_full_unstemmed | Analysis of Drug-Resistant Tuberculosis in Children in Shenyang, China, 2017–2021 |
title_short | Analysis of Drug-Resistant Tuberculosis in Children in Shenyang, China, 2017–2021 |
title_sort | analysis of drug-resistant tuberculosis in children in shenyang, china, 2017–2021 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625755/ https://www.ncbi.nlm.nih.gov/pubmed/37933293 http://dx.doi.org/10.2147/IDR.S428720 |
work_keys_str_mv | AT sunjiao analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT fanlichao analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT zhaoyanping analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT wuhaoyu analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT liran analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT tianyao analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT chengmoxin analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT maxin analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT mayingying analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT yangxinru analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT shenadong analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT yuyanhong analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 AT chenyu analysisofdrugresistanttuberculosisinchildreninshenyangchina20172021 |