Preoperative predictors of restoration in quality of life after surgery for lung cancer

Autor: Hideo Ichimura, Keisuke Kobayashi, Masahiko Gosho, Kojiro Nakaoka, Takahiro Yanagihara, Sho Ueda, Yusuke Saeki, Naoki Maki, Naohiro Kobayashi, Shinji Kikuchi, Hisashi Suzuki, Yukinobu Goto, Yukio Sato
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Thoracic Cancer, Vol 12, Iss 6, Pp 835-844 (2021)
Druh dokumentu: article
ISSN: 1759-7714
1759-7706
DOI: 10.1111/1759-7714.13819
Popis: Abstract Background The preoperative predictors of quality of life (QOL) in patients who undergo lung resection for lung cancer are poorly known. Here, we investigated these predictors in such patients using two QOL measures. Methods In this single‐institutional prospective cohort study, we administered the EQ‐5D‐5 levels (EQ‐5D‐5L) from January 2015, and the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire with 30 items from April 2015 to April 2018 preoperatively (Pre) and at one month postoperatively (M1), and one year postoperatively (Y1). General health status was measured by the EQ‐5D visual analogue scale (VAS) and EORTC global health status/QOL (GHS) scores. Multivariable linear regression analyses were used to explore the preoperative predictors of QOL at Y1. Results A total of 223 patients were included in the study. The EQ‐5D VAS and EORTC GHS scores, at Pre, M1, and Y1, were 80 ± 15, 77 ± 15, and 84 ± 11; and 74 ± 19, 65 ± 20, and 78 ± 17, respectively. In the multivariable analyses, the albumin level, preoperative VAS score, and preoperative pain/discomfort and anxiety/depression were identified as predictors by the EQ‐5D VAS score. The preoperative EORTC GHS score, absence of diabetes mellitus, preoperative cognitive function score, and preoperative symptom score of pain were identified as predictors by the EORTC GHS score. Conclusions The EQ‐5D VAS and EORTC GHS scores traced similar trajectories of QOL. In both QOL measures, preoperative pain was found as a common predictor. These predictors may help improve patient/survivor care in the future.
Databáze: Directory of Open Access Journals
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