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比较肺功能参数和呼出一氧化氮分数在预测肺癌方面的效用。

Comparing the utility of lung function parameters and fractional exhaled nitric oxide in predicting lung cancer.

作者信息

Cao Hongli, Chen Xianyang, Song Yige, Xue Teng, Xue Zhongwen, Zhang Guosheng, Wang Kun, Liu Zijin

机构信息

Emergency department, Beijing Rehabilitation Hospital, Capital Medical University, China.

Bao Feng Key Laboratory of Genetics and Metabolism, Beijing, China.

出版信息

Sarcoidosis Vasc Diffuse Lung Dis. 2024 Dec 10;41(4):e2024065. doi: 10.36141/svdld.v41i4.14694.

Abstract

This study aimed to investigate the potential clinical factors that may be associated with the incidence of lung cancer. A total of 150 individuals were enrolled in this cohort study, of which 78 were diagnosed with lung cancer. The results of this study revealed some interesting findings. Specifically, male sex, older age, and lower BMI were found to be significantly associated with an increased risk of developing lung cancer. In contrast, several pulmonary function measures, including FEV1/FVC ratio, FVC, and FEV1, were significantly associated with a decreased risk of lung cancer. Additionally, higher levels of Feno were found to be significantly associated with an increased risk of lung cancer. These findings may be useful in developing strategies for the prevention and management of lung cancer, particularly for individuals with these risk factors. Further research is needed to validate these findings and explore the underlying mechanisms behind these associations. Overall, this study provides valuable insights into the potential clinical factors that may be associated with lung cancer incidence, and it highlights the importance of early detection and prevention strategies.

摘要

本研究旨在调查可能与肺癌发病率相关的潜在临床因素。共有150人参与了这项队列研究,其中78人被诊断为肺癌。本研究结果揭示了一些有趣的发现。具体而言,发现男性、老年和较低的体重指数与患肺癌风险增加显著相关。相比之下,包括FEV1/FVC比值、FVC和FEV1在内的多项肺功能指标与肺癌风险降低显著相关。此外,发现较高水平的呼出气一氧化氮与肺癌风险增加显著相关。这些发现可能有助于制定肺癌预防和管理策略,特别是针对有这些风险因素的个体。需要进一步研究来验证这些发现,并探索这些关联背后的潜在机制。总体而言,本研究为可能与肺癌发病率相关的潜在临床因素提供了有价值的见解,并强调了早期检测和预防策略的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/645f/11708948/5a3aee31916b/SVDLD-41-65-g001.jpg

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