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

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

BackgroundThe 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.Methods28,171 adult inpatients suspected of having PTB in China were retrospectively analyzed....

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Bibliographic Details
Main Authors: Jing Peng, Juan Song, Feng Wang, Peng Zuo, Yanjun Lu, Weiyong Liu, Lei Tian, Zhongju Chen, Yaowu Zhu, Xiong Wang, Na Shen, Xu Wang, Shiji Wu, Qin Yu, Bruce A. Vallance, Kevan Jacobson, Ziyong Sun, Hong Bing Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
Xpert MTB/RIF
smear microscopy
T-SPOT.TB
diagnostic algorithm
real-world study
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2021.650163/full

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https://www.frontiersin.org/articles/10.3389/fcimb.2021.650163/full

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