Urine volatile organic compounds in predicting chronic obstructive pulmonary disease risk in a national observational study

<i>Background</i>: chronic obstructive pulmonary disease (COPD) is a common respiratory disease caused by genetic and environmental factors, but the contribution of urine volatile organic compounds (VOCs) to the risk of COPD remains unclear. This study aims to use the NHANES data to explore the potential value of urine VOCs in predicting COPD. <i>Methods</i>: an epidemiological study including 782 participants from the National Health and Nutrition Examination Survey (NHANES) 2013-2018 was performed to evaluate the association between urine VOCs and COPD. Receiver operating characteristic (ROC) and the area under the ROC curve (AUC) analysis were used to evaluate the diagnostic performance of urine VOCs on COPD. <i>Results</i>: seven urine VOCs were associated with an increased risk of COPD [odds ratio (OR>1; <i>p</i> < 0.05)]. The dose-response relationship was also statistically significant between them. Meanwhile, urine VOCs can lead to the occurrence of COPD through the inflammatory effects. The area under the ROC curves for the combined urine VOC models as a predictor for COPD was 0.90. <i>Conclusions</i>: association between urine VOCs and an increased risk of COPD was found in the NHANES data. Inflammatory factors play an important role in the association of urine VOCs and COPD. In addition, urine VOCs could be useful in predicting COPD risk. More studies are needed to elucidate the mechanisms and clinical application values underlying the association between urine VOCs and COPD.

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Publication Details

Journal
Environmental Science Processes & Impacts
Published
2025-01-01
DOI
https://doi.org/10.1039/d5em00181a
Citations
1
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.67

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article

Urine volatile organic compounds in predicting chronic obstructive pulmonary disease risk in a national observational study

Shuojia Xie, Linwei Tian, Zhaowei Yang, Ziwen Zheng et al.
1 citations
Environmental Science Processes & Impacts
Advanced Chemical Sensor Technologies
0.67
article

Urine volatile organic compounds in predicting chronic obstructive pulmonary disease risk in a national observational study

Shuojia Xie, Linwei Tian, Zhaowei Yang, Ziwen Zheng, Ruchong Chen, Junfeng Huang, Xiaowen Zhong, Gengjia Chen, Yuexi Chen, Huiting Luo, Yang Liu, Shiyue Li
article en
1 citations

Abstract

<i>Background</i>: chronic obstructive pulmonary disease (COPD) is a common respiratory disease caused by genetic and environmental factors, but the contribution of urine volatile organic compounds (VOCs) to the risk of COPD remains unclear. This study aims to use the NHANES data to explore the potential value of urine VOCs in predicting COPD. <i>Methods</i>: an epidemiological study including 782 participants from the National Health and Nutrition Examination Survey (NHANES) 2013-2018 was performed to evaluate the association between urine VOCs and COPD. Receiver operating characteristic (ROC) and the area under the ROC curve (AUC) analysis were used to evaluate the diagnostic performance of urine VOCs on COPD. <i>Results</i>: seven urine VOCs were associated with an increased risk of COPD [odds ratio (OR>1; <i>p</i> < 0.05)]. The dose-response relationship was also statistically significant between them. Meanwhile, urine VOCs can lead to the occurrence of COPD through the inflammatory effects. The area under the ROC curves for the combined urine VOC models as a predictor for COPD was 0.90. <i>Conclusions</i>: association between urine VOCs and an increased risk of COPD was found in the NHANES data. Inflammatory factors play an important role in the association of urine VOCs and COPD. In addition, urine VOCs could be useful in predicting COPD risk. More studies are needed to elucidate the mechanisms and clinical application values underlying the association between urine VOCs and COPD.

Environmental Science Processes & ImpactsVol. 27(8)
First Affiliated Hospital of Guangzhou Medical University (CN), State Key Laboratory of Respiratory Disease (CN), University of Hong Kong (HK), Guangzhou Medical University (CN)
Guangzhou Medical University, National Natural Science Foundation of China, Science and Technology Planning Project of Guangdong Province, Basic and Applied Basic Research Foundation of Guangdong Province
Good health and well-being
Openalex Percentile: Top 29%
Advanced Chemical Sensor Technologies
0.67
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