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Harnessing Big Data to Optimize an Algorithm for Rapid Diagnosis of Pulmonary Tuberculosis in a Real-World Setting

BACKGROUND: The prompt diagnosis of pulmonary tuberculosis (PTB) remains a challenge in clinical practice. The present study aimed to optimize an algorithm for rapid diagnosis of PTB in a real-world setting. METHODS: 28,171 adult inpatients suspected of having PTB in China were retrospectively analy...

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Autores principales: Peng, Jing, Song, Juan, Wang, Feng, Zuo, Peng, Lu, Yanjun, Liu, Weiyong, Tian, Lei, Chen, Zhongju, Zhu, Yaowu, Wang, Xiong, Shen, Na, Wang, Xu, Wu, Shiji, Yu, Qin, Vallance, Bruce A., Jacobson, Kevan, Sun, Ziyong, Yu, Hong Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012509/
https://www.ncbi.nlm.nih.gov/pubmed/33816355
http://dx.doi.org/10.3389/fcimb.2021.650163
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author Peng, Jing
Song, Juan
Wang, Feng
Zuo, Peng
Lu, Yanjun
Liu, Weiyong
Tian, Lei
Chen, Zhongju
Zhu, Yaowu
Wang, Xiong
Shen, Na
Wang, Xu
Wu, Shiji
Yu, Qin
Vallance, Bruce A.
Jacobson, Kevan
Sun, Ziyong
Yu, Hong Bing
author_facet Peng, Jing
Song, Juan
Wang, Feng
Zuo, Peng
Lu, Yanjun
Liu, Weiyong
Tian, Lei
Chen, Zhongju
Zhu, Yaowu
Wang, Xiong
Shen, Na
Wang, Xu
Wu, Shiji
Yu, Qin
Vallance, Bruce A.
Jacobson, Kevan
Sun, Ziyong
Yu, Hong Bing
author_sort Peng, Jing
collection PubMed
description BACKGROUND: The prompt diagnosis of pulmonary tuberculosis (PTB) remains a challenge in clinical practice. The present study aimed to optimize an algorithm for rapid diagnosis of PTB in a real-world setting. METHODS: 28,171 adult inpatients suspected of having PTB in China were retrospectively analyzed. Bronchoalveolar lavage fluid (BALF) and/or sputum were used for acid-fast bacilli (AFB) smear, Xpert MTB/RIF (Xpert), and culture. A positive mycobacterial culture was used as the reference standard. Peripheral blood mononuclear cells (PBMC) were used for T-SPOT.TB. We analyzed specimen types’ effect on these assays’ performance, determined the number of smears for diagnosing PTB, and evaluated the ability of these assays performed alone, or in combination, to diagnose PTB and nontuberculous mycobacteria (NTM) infections. RESULTS: Sputum and BALF showed moderate to substantial consistency when they were used for AFB smear or Xpert, with a higher positive detection rate by BALF. 3-4 smears had a higher sensitivity than 1-2 smears. Moreover, simultaneous combination of AFB and Xpert correctly identified 44/51 of AFB(+)/Xpert(+) and 6/7 of AFB(+)/Xpert(-) cases as PTB and NTM, respectively. Lastly, when combined with AFB/Xpert sequentially, T-SPOT showed limited roles in patients that were either AFB(+) or Xpert(+). However, T-SPOT(MDC) (manufacturer-defined cut-off) showed a high negative predicative value (99.1%) and suboptimal sensitivity (74.4%), and TBAg/PHA (ratio of Mycobacterium tuberculosis-specific antigens to phytohaemagglutinin spot-forming cells, which is a modified method calculating T-SPOT.TB assay results) ≥0.3 demonstrated a high specificity (95.7%) and a relatively low sensitivity (16.3%) in AFB(-)/Xpert(-) patients. CONCLUSIONS: Concurrently performing AFB smear (at least 3 smears) and Xpert on sputum and/or BALF could aid in rapid diagnosis of PTB and NTM infections in a real-world high-burden setting. If available, BALF is preferred for both AFB smear and Xpert. Expanding this algorithm, PBMC T-SPOT(MDC) and TBAg/PHA ratios have a supplementary role for PTB diagnosis in AFB(-)/Xpert(-) patients (moderately ruling out PTB and ruling in PTB, respectively). Our findings may also inform policy makers’ decisions regarding prevention and control of TB in a high burden setting.
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spelling pubmed-80125092021-04-02 Harnessing Big Data to Optimize an Algorithm for Rapid Diagnosis of Pulmonary Tuberculosis in a Real-World Setting Peng, Jing Song, Juan Wang, Feng Zuo, Peng Lu, Yanjun Liu, Weiyong Tian, Lei Chen, Zhongju Zhu, Yaowu Wang, Xiong Shen, Na Wang, Xu Wu, Shiji Yu, Qin Vallance, Bruce A. Jacobson, Kevan Sun, Ziyong Yu, Hong Bing Front Cell Infect Microbiol Cellular and Infection Microbiology BACKGROUND: The prompt diagnosis of pulmonary tuberculosis (PTB) remains a challenge in clinical practice. The present study aimed to optimize an algorithm for rapid diagnosis of PTB in a real-world setting. METHODS: 28,171 adult inpatients suspected of having PTB in China were retrospectively analyzed. Bronchoalveolar lavage fluid (BALF) and/or sputum were used for acid-fast bacilli (AFB) smear, Xpert MTB/RIF (Xpert), and culture. A positive mycobacterial culture was used as the reference standard. Peripheral blood mononuclear cells (PBMC) were used for T-SPOT.TB. We analyzed specimen types’ effect on these assays’ performance, determined the number of smears for diagnosing PTB, and evaluated the ability of these assays performed alone, or in combination, to diagnose PTB and nontuberculous mycobacteria (NTM) infections. RESULTS: Sputum and BALF showed moderate to substantial consistency when they were used for AFB smear or Xpert, with a higher positive detection rate by BALF. 3-4 smears had a higher sensitivity than 1-2 smears. Moreover, simultaneous combination of AFB and Xpert correctly identified 44/51 of AFB(+)/Xpert(+) and 6/7 of AFB(+)/Xpert(-) cases as PTB and NTM, respectively. Lastly, when combined with AFB/Xpert sequentially, T-SPOT showed limited roles in patients that were either AFB(+) or Xpert(+). However, T-SPOT(MDC) (manufacturer-defined cut-off) showed a high negative predicative value (99.1%) and suboptimal sensitivity (74.4%), and TBAg/PHA (ratio of Mycobacterium tuberculosis-specific antigens to phytohaemagglutinin spot-forming cells, which is a modified method calculating T-SPOT.TB assay results) ≥0.3 demonstrated a high specificity (95.7%) and a relatively low sensitivity (16.3%) in AFB(-)/Xpert(-) patients. CONCLUSIONS: Concurrently performing AFB smear (at least 3 smears) and Xpert on sputum and/or BALF could aid in rapid diagnosis of PTB and NTM infections in a real-world high-burden setting. If available, BALF is preferred for both AFB smear and Xpert. Expanding this algorithm, PBMC T-SPOT(MDC) and TBAg/PHA ratios have a supplementary role for PTB diagnosis in AFB(-)/Xpert(-) patients (moderately ruling out PTB and ruling in PTB, respectively). Our findings may also inform policy makers’ decisions regarding prevention and control of TB in a high burden setting. Frontiers Media S.A. 2021-03-18 /pmc/articles/PMC8012509/ /pubmed/33816355 http://dx.doi.org/10.3389/fcimb.2021.650163 Text en Copyright © 2021 Peng, Song, Wang, Zuo, Lu, Liu, Tian, Chen, Zhu, Wang, Shen, Wang, Wu, Yu, Vallance, Jacobson, Sun and Yu http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Peng, Jing
Song, Juan
Wang, Feng
Zuo, Peng
Lu, Yanjun
Liu, Weiyong
Tian, Lei
Chen, Zhongju
Zhu, Yaowu
Wang, Xiong
Shen, Na
Wang, Xu
Wu, Shiji
Yu, Qin
Vallance, Bruce A.
Jacobson, Kevan
Sun, Ziyong
Yu, Hong Bing
Harnessing Big Data to Optimize an Algorithm for Rapid Diagnosis of Pulmonary Tuberculosis in a Real-World Setting
title Harnessing Big Data to Optimize an Algorithm for Rapid Diagnosis of Pulmonary Tuberculosis in a Real-World Setting
title_full Harnessing Big Data to Optimize an Algorithm for Rapid Diagnosis of Pulmonary Tuberculosis in a Real-World Setting
title_fullStr Harnessing Big Data to Optimize an Algorithm for Rapid Diagnosis of Pulmonary Tuberculosis in a Real-World Setting
title_full_unstemmed Harnessing Big Data to Optimize an Algorithm for Rapid Diagnosis of Pulmonary Tuberculosis in a Real-World Setting
title_short Harnessing Big Data to Optimize an Algorithm for Rapid Diagnosis of Pulmonary Tuberculosis in a Real-World Setting
title_sort harnessing big data to optimize an algorithm for rapid diagnosis of pulmonary tuberculosis in a real-world setting
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012509/
https://www.ncbi.nlm.nih.gov/pubmed/33816355
http://dx.doi.org/10.3389/fcimb.2021.650163
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