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Impact of Comorbidities on Lung Cancer Screening Evaluation.
- Source :
-
Clinical lung cancer [Clin Lung Cancer] 2022 Jul; Vol. 23 (5), pp. 402-409. Date of Electronic Publication: 2022 Apr 29. - Publication Year :
- 2022
-
Abstract
- Objectives: We used data from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial to examine the impact of self-reported chronic obstructive pulmonary disease, coronary artery disease, stroke, and diabetes mellitus on diagnostic complications in lung cancer screening evaluation.<br />Methods: In our analysis, we included individuals from the usual care and intervention (annual chest x-ray) of the lung cancer screening trial with equal or greater than 55 years of age with a 20 pack-year smoking history who had undergone an invasive procedure. We performed multivariate logistic regression analysis to estimate the association of comorbidity on procedure complication. Our primary outcome was the incidence of major or moderate complications.<br />Results: Features associated with high-risk complication included older age (OR = 1.03 per year, P = .001), history of coronary artery disease (OR = 1.40, P = .03), history of diabetes mellitus (OR = 0.41, P < .001, current smoking status (OR = 1.46, P ≤ .001), surgical biopsy (OR = 7.39, P < .001), needle biopsy (OR = 1.94, P < .001), and other invasive procedure (OR = 1.58, P < .001). We did not find an associated with complication and history of stroke (OR = 0.84, P = .53) or chronic obstructive pulmonary disease (OR = 1.27, P = .06).<br />Conclusion: Patient and procedure-level factors may alter the benefits of lung cancer screening. Data concerning individual risk factors and high-risk complications should therefore be incorporated into diagnostic algorithms to optimize clinical benefit and minimize harm. Further study and validation of the risk factors identified herein are warranted.<br /> (Copyright © 2022. Published by Elsevier Inc.)
Details
- Language :
- English
- ISSN :
- 1938-0690
- Volume :
- 23
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Clinical lung cancer
- Publication Type :
- Academic Journal
- Accession number :
- 35641376
- Full Text :
- https://doi.org/10.1016/j.cllc.2022.03.012