1. Study of confounding factors influence on lung cancer diagnostics effectiveness using gas chromatography-mass spectrometry analysis of exhaled breath
- Author
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Anna Osipova, E. V. Dmitrieva, Igor Polyakov, A. Z. Temerdashev, E. M. Gashimova, Dmitry Perunov, and V. A. Porkhanov
- Subjects
Disease status ,medicine.medical_specialty ,business.industry ,010401 analytical chemistry ,Biochemistry (medical) ,Clinical Biochemistry ,Confounding ,medicine.disease ,Logistic regression ,01 natural sciences ,Gastroenterology ,Gas Chromatography-Mass Spectrometry ,0104 chemical sciences ,03 medical and health sciences ,0302 clinical medicine ,030228 respiratory system ,Healthy individuals ,Internal medicine ,Drug Discovery ,Healthy volunteers ,medicine ,Smoking status ,Gas chromatography–mass spectrometry ,Lung cancer ,business - Abstract
Aim: The purpose of this study was to estimate volatile organic compounds (VOCs) ability to distinguish exhaled breath samples of lung cancer patients and healthy volunteers and to assess the effect of smoking status and gender on parameters. Patients & methods: Exhaled breath samples of 40 lung cancer patients and 40 healthy individuals were analyzed using gas chromatography–mass spectrometry. Influence of other factors on the exhaled breath VOCs profile was investigated. Results: Some parameters correlating with the disease status were affected by other factors. Excluding these parameters allows creating a logistic regression diagnostic model with 83% sensitivity and 81% specificity. Conclusion: Influence of other factors on the exhaled breath VOCs profile has to be taken into account to avoid misleading results.
- Published
- 2021