A cross-sectional study: a breathomics based pulmonary tuberculosis detection method

Liang Fu; Lei Wang; Haibo Wang; Min Yang; Qianting Yang; Yi Lin; Shanyi Guan; Yongcong Deng; Lei Liu; Qingyun Li; Mengqi He; Peize Zhang; Haibin Chen; Guofang Deng

doi:10.1186/s12879-023-08112-3

BMC Infectious Diseases (Mar 2023)

A cross-sectional study: a breathomics based pulmonary tuberculosis detection method

Liang Fu,
Lei Wang,
Haibo Wang,
Min Yang,
Qianting Yang,
Yi Lin,
Shanyi Guan,
Yongcong Deng,
Lei Liu,
Qingyun Li,
Mengqi He,
Peize Zhang,
Haibin Chen,
Guofang Deng

Affiliations

Liang Fu: Division Two of the Pulmonary Diseases Department, The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology
Lei Wang: Breax Laboratory, PCAB Research Center of Breath and Metabolism
Haibo Wang: Peking University Clinical Research Institute, Peking University First Hospital
Min Yang: Division Two of the Pulmonary Diseases Department, The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology
Qianting Yang: Institute for Hepatology, The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology
Yi Lin: Division Two of the Pulmonary Diseases Department, The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology
Shanyi Guan: Medical Examination Department, The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology
Yongcong Deng: Pulmonary Diseases Out-Patient Department, The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology
Lei Liu: Division Two of the Pulmonary Diseases Department, The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology
Qingyun Li: Breax Laboratory, PCAB Research Center of Breath and Metabolism
Mengqi He: Breax Laboratory, PCAB Research Center of Breath and Metabolism
Peize Zhang: Division Two of the Pulmonary Diseases Department, The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology
Haibin Chen: Breax Laboratory, PCAB Research Center of Breath and Metabolism
Guofang Deng: Division Two of the Pulmonary Diseases Department, The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology

DOI: https://doi.org/10.1186/s12879-023-08112-3
Journal volume & issue: Vol. 23, no. 1
pp. 1 – 11

Abstract

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Key messages What is already known on this topic—Breath VOC analysis is a potential technology for PTB detection. However, it is still desirable for a real-time, robust, accurate, and simple breath analysis platform for clinical application. What this study adds—An online breath detection for PTB was proposed and demonstrated with high sensitivity and specificity in a large clinical cohort. How this study might affect research, practice, or policy—This study may promote the application of breath detection in clinical TB detection and related biomarker studies.

Published in BMC Infectious Diseases

ISSN: 1471-2334 (Online)
Publisher: BMC
Country of publisher: United Kingdom
LCC subjects: Medicine: Internal medicine: Infectious and parasitic diseases
Website: https://bmcinfectdis.biomedcentral.com

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