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Association Between Quality of Life Questionnaire at Diagnosis and Survival in Patients With Lung Cancer.

Authors :
Hong YJ
Han S
Lim JU
Kang HS
Kim SK
Kim JW
Lee SH
Kim SJ
Yeo CD
Source :
Clinical lung cancer [Clin Lung Cancer] 2023 Jul; Vol. 24 (5), pp. 459-466. Date of Electronic Publication: 2023 Mar 21.
Publication Year :
2023

Abstract

Background: Patients with lung cancer experience considerable symptom burden, which can decrease patients' QOL. Our aim was to investigate the association between QOL questionnaire at diagnosis and survival of lung cancer.<br />Patients and Methods: This was a multicenter study of lung cancer patients at 7 medical centers of the Catholic University of Korea that responded to a quality of life questionnaire between December 1, 2017 and December 31, 2020. We analyzed 5 functional (physical, role, emotional, cognitive, and social functioning) and nine symptom (fatigue, nausea and vomiting, pain, dyspnea, insomnia, appetite loss, constipation, diarrhea, and financial difficulties) scales and examined their associations with survival. A Cox proportional hazards model was used to evaluate the prognostic value.<br />Results: In total, 1297 lung cancer patients were enrolled. The results of multivariable analysis showed that female, younger age, never smoker, stage I or II cancer, higher physical functioning, and emotional functioning were statistically significant favorable predictors for survival. On subgroup analysis according to early (stage I and II) or advanced (stage III or IV) stage, higher physical functioning and emotional functioning were each found to be favorable prognostic factors for survival. Meanwhile, fatigue, pain, insomnia, and financial difficulties were found to be associated with low scores on the emotional functioning scale; fatigue, pain, dyspnea, and financial difficulties were associated with low scores on the physical functioning scale.<br />Conclusion: Assessing the physical functioning and emotional functioning scales of QOL questionnaire items at diagnosis can help clinicians predict the survival of patients with lung cancer.<br />Competing Interests: Disclosure The authors have no conflicts of interest to disclose.<br /> (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1938-0690
Volume :
24
Issue :
5
Database :
MEDLINE
Journal :
Clinical lung cancer
Publication Type :
Academic Journal
Accession number :
37061414
Full Text :
https://doi.org/10.1016/j.cllc.2023.03.007