Hideo Ichimura1,2,3, Keisuke Kobayashi4, Masahiko Gosho5, Kojiro Nakaoka4, Takahiro Yanagihara4, Sho Ueda4, Yusuke Saeki4, Kentaro Araki4, Tomoyuki Kawamura4, Yukio Sato6. 1. Department of Thoracic Surgery, Hitachi General Hospital, Hitachi, Ibaraki, 317-0077, Japan. ichimura@md.tsukuba.ac.jp. 2. Department of Thoracic Surgery, University of Tsukuba, Tsukuba, Ibaraki, 305-8575, Japan. ichimura@md.tsukuba.ac.jp. 3. Department of Thoracic Surgery, Faculty of Medicine, Hitachi Medical Education and Research Center, University of Tsukuba, 2-1-1 Jyounan, Hitachi, Ibaraki, 317-0077, Japan. ichimura@md.tsukuba.ac.jp. 4. Department of Thoracic Surgery, Hitachi General Hospital, Hitachi, Ibaraki, 317-0077, Japan. 5. Department of Biostatistics, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, 305-8575, Japan. 6. Department of Thoracic Surgery, University of Tsukuba, Tsukuba, Ibaraki, 305-8575, Japan.
Abstract
OBJECTIVE: To clarify the trajectory and profile of quality of life (QOL) in lung cancer patients undergoing surgery during hospitalization. METHODS: Among prospectively enrolled 279 patients between 2015 and 2018, we used the EQ-5D-5 levels (EQ-5D-5L), which consist of a descriptive system of five dimensions and a visual analog scale (VAS) (from 0 to 100). The five dimensions are mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, which are rated according to a 5-grade evaluation. QOL assessments were performed preoperatively (Pre) and on postoperative day 1/3/5/7 (D1/D3/D5/D7). To observe the trajectory of QOL, the EQ-5D VAS was used. To define the profile of QOL, we applied univariate linear regression analysis to predict EQ-5D VAS based on the five dimensions of EQ-5D as explanatory variables and to determine the rank of absolute values of the standardized coefficient of each dimension that represented strength of the effect on the EQ-5D VAS. RESULTS: The means of VAS scores were as follows: Pre/D1/D3/D5/D7 = 79/45/58/64/71. Younger age, fewer comorbidities, and surgical indications decreased the VAS at D1. More comorbidities, advanced cancer stage, postoperative adverse events, and chest tube placements hampered restoration of the VAS. Regarding QOL profiles, anxiety/depression was the highest rank preoperatively while usual activity, but not pain/discomfort, was the highest postoperatively. CONCLUSIONS: This is the first study to visualize the trajectory of QOL in surgical patients with lung cancer during hospitalization. This information may help improve perioperative patient care.
OBJECTIVE: To clarify the trajectory and profile of quality of life (QOL) in lung cancerpatients undergoing surgery during hospitalization. METHODS: Among prospectively enrolled 279 patients between 2015 and 2018, we used the EQ-5D-5 levels (EQ-5D-5L), which consist of a descriptive system of five dimensions and a visual analog scale (VAS) (from 0 to 100). The five dimensions are mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, which are rated according to a 5-grade evaluation. QOL assessments were performed preoperatively (Pre) and on postoperative day 1/3/5/7 (D1/D3/D5/D7). To observe the trajectory of QOL, the EQ-5D VAS was used. To define the profile of QOL, we applied univariate linear regression analysis to predict EQ-5D VAS based on the five dimensions of EQ-5D as explanatory variables and to determine the rank of absolute values of the standardized coefficient of each dimension that represented strength of the effect on the EQ-5D VAS. RESULTS: The means of VAS scores were as follows: Pre/D1/D3/D5/D7 = 79/45/58/64/71. Younger age, fewer comorbidities, and surgical indications decreased the VAS at D1. More comorbidities, advanced cancer stage, postoperative adverse events, and chest tube placements hampered restoration of the VAS. Regarding QOL profiles, anxiety/depression was the highest rank preoperatively while usual activity, but not pain/discomfort, was the highest postoperatively. CONCLUSIONS: This is the first study to visualize the trajectory of QOL in surgical patients with lung cancer during hospitalization. This information may help improve perioperative patient care.
Authors: Ruth Masterson Creber; Arnaldo Dimagli; Cristiano Spadaccio; Annie Myers; Marco Moscarelli; Michelle Demetres; Matthew Little; Stephen Fremes; Mario Gaudino Journal: Eur Heart J Qual Care Clin Outcomes Date: 2022-05-05