Influenza season influence on outcome of new nodules in the NELSON study

Abstract We evaluated the impact of the influenza season on outcome of new lung nodules in a LDCT lung cancer screening trial population. NELSON-trial participants with ≥ 1 new nodule detected in screening rounds two and three were included. Outcome (resolution or persistence) of new nodules detecte...

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Main Authors: H. L. Lancaster, M. A. Heuvelmans, G. H. de Bock, Y. Du, F. A. A. Mohamed Hoesein, K. Nackaerts, J. E. Walter, R. Vliegenthart, M. Oudkerk
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-33672-4
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author H. L. Lancaster
M. A. Heuvelmans
G. H. de Bock
Y. Du
F. A. A. Mohamed Hoesein
K. Nackaerts
J. E. Walter
R. Vliegenthart
M. Oudkerk
author_facet H. L. Lancaster
M. A. Heuvelmans
G. H. de Bock
Y. Du
F. A. A. Mohamed Hoesein
K. Nackaerts
J. E. Walter
R. Vliegenthart
M. Oudkerk
author_sort H. L. Lancaster
collection DOAJ
description Abstract We evaluated the impact of the influenza season on outcome of new lung nodules in a LDCT lung cancer screening trial population. NELSON-trial participants with ≥ 1 new nodule detected in screening rounds two and three were included. Outcome (resolution or persistence) of new nodules detected per season was calculated and compared. Winter (influenza season) was defined as 1st October to 31st March, and compared to the summer (hay-fever season), 1st April to 30th September. Overall, 820 new nodules were reported in 529 participants. Of the total new nodules, 482 (59%) were reported during winter. When considering the outcome of all new nodules, there was no statistically significant association between summer and resolving nodules (OR 1.07 [CI 1.00–1.15], p = 0.066), also when looking at the largest nodule per participant (OR 1.37 [CI 0.95–1.98], p = 0.094). Similarly, there was no statistically significant association between season and screen detected cancers (OR 0.47 [CI 0.18–1.23], p = 0.123). To conclude, in this lung cancer screening population, there was no statistically significant association between influenza season and outcome of new lung nodules. Hence, we recommend new nodule management strategy is not influenced by the season in which the nodule is detected.
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spelling doaj.art-cb0671c8b78a4f53bec2b005956bedb12023-04-23T11:16:38ZengNature PortfolioScientific Reports2045-23222023-04-011311810.1038/s41598-023-33672-4Influenza season influence on outcome of new nodules in the NELSON studyH. L. Lancaster0M. A. Heuvelmans1G. H. de Bock2Y. Du3F. A. A. Mohamed Hoesein4K. Nackaerts5J. E. Walter6R. Vliegenthart7M. Oudkerk8Department of Epidemiology, University of Groningen, University Medical Center GroningenDepartment of Epidemiology, University of Groningen, University Medical Center GroningenDepartment of Epidemiology, University of Groningen, University Medical Center GroningenDepartment of Epidemiology, University of Groningen, University Medical Center GroningenDepartment of Radiology, University Medical Center Utrecht, Utrecht UniversityDepartment of Pneumology, University Hospital Leuven, KU LeuvenDepartment of Medical Oncology and Hematology, University Hospital ZurichDepartment of Radiology, University of Groningen, University Medical Center GroningenFaculty of Medical Sciences, University of GroningenAbstract We evaluated the impact of the influenza season on outcome of new lung nodules in a LDCT lung cancer screening trial population. NELSON-trial participants with ≥ 1 new nodule detected in screening rounds two and three were included. Outcome (resolution or persistence) of new nodules detected per season was calculated and compared. Winter (influenza season) was defined as 1st October to 31st March, and compared to the summer (hay-fever season), 1st April to 30th September. Overall, 820 new nodules were reported in 529 participants. Of the total new nodules, 482 (59%) were reported during winter. When considering the outcome of all new nodules, there was no statistically significant association between summer and resolving nodules (OR 1.07 [CI 1.00–1.15], p = 0.066), also when looking at the largest nodule per participant (OR 1.37 [CI 0.95–1.98], p = 0.094). Similarly, there was no statistically significant association between season and screen detected cancers (OR 0.47 [CI 0.18–1.23], p = 0.123). To conclude, in this lung cancer screening population, there was no statistically significant association between influenza season and outcome of new lung nodules. Hence, we recommend new nodule management strategy is not influenced by the season in which the nodule is detected.https://doi.org/10.1038/s41598-023-33672-4
spellingShingle H. L. Lancaster
M. A. Heuvelmans
G. H. de Bock
Y. Du
F. A. A. Mohamed Hoesein
K. Nackaerts
J. E. Walter
R. Vliegenthart
M. Oudkerk
Influenza season influence on outcome of new nodules in the NELSON study
Scientific Reports
title Influenza season influence on outcome of new nodules in the NELSON study
title_full Influenza season influence on outcome of new nodules in the NELSON study
title_fullStr Influenza season influence on outcome of new nodules in the NELSON study
title_full_unstemmed Influenza season influence on outcome of new nodules in the NELSON study
title_short Influenza season influence on outcome of new nodules in the NELSON study
title_sort influenza season influence on outcome of new nodules in the nelson study
url https://doi.org/10.1038/s41598-023-33672-4
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