1. Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer
- Author
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Yoshitaka Yano, Yuki Eguchi, Yuuna Tahara, Kazuki Ohba, Takehisa Nomura, Nanako Koyama, Hideo Kurosawa, Morito Sako, and Chikako Matsumura
- Subjects
medicine.medical_specialty ,Palliative care ,Nausea ,Terminally ill ,Palliative Performance Scale ,03 medical and health sciences ,0302 clinical medicine ,Quality of life ,Cronbach's alpha ,Neoplasms ,Surveys and Questionnaires ,Internal medicine ,Humans ,Terminally Ill ,Medicine ,030212 general & internal medicine ,Symptom cluster ,Survival analysis ,Terminally ill cancer patient ,EORTC QLQ-C15-PAL score ,Survival prediction ,business.industry ,Palliative Care ,Cancer ,Syndrome ,Prognosis ,medicine.disease ,humanities ,Oncology ,030220 oncology & carcinogenesis ,Quality of Life ,Original Article ,Observational study ,medicine.symptom ,business - Abstract
Purpose The aims of the present study were to investigate the symptom clusters in terminally ill patients with cancer using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative Care (EORTC QLQ-C15-PAL), and to examine whether these symptom clusters influenced prognosis. Methods We analyzed data from 130 cancer patients hospitalized in the palliative care unit from June 2018 to December 2019 in an observational study. Principal component analysis was used to detect symptom clusters using the scored date of 14 items in the QLQ-C15-PAL, except for overall QOL, at the time of hospitalization. The influence of the existence of these symptom clusters and Palliative Performance Scale (PPS) on survival was analyzed by Cox proportional hazards regression analysis, and survival curves were compared between the groups with or without existing corresponding symptom clusters using the log-rank test. Results The following symptom clusters were identified: cluster 1 (pain, insomnia, emotional functioning), cluster 2 (dyspnea, appetite loss, fatigue, and nausea), and cluster 3 (physical functioning). Cronbach’s alpha values for the symptom clusters ranged from 0.72 to 0.82. An increased risk of death was significantly associated with the existence of cluster 2 and poor PPS (log-rank test, p = 0.016 and p Conclusion In terminally ill patients with cancer, three symptom clusters were detected based on QLQ-C15-PAL scores. Poor PPS and the presence of symptom cluster that includes dyspnea, appetite loss, fatigue, and nausea indicated poor prognosis.
- Published
- 2021
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