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- Title
Consciousness Levels One Week after Admission to a Palliative Care Unit Improve Survival Prediction in Advanced Cancer Patients.
- Authors
Tsai, Jaw-Shiun; Chen, Chao-Hsien; Wu, Chih-Hsun; Chiu, Tai-Yuan; Morita, Tatsuya; Chang, Chin-Hao; Hung, Shou-Hung; Lee, Ya-Ping; Chen, Ching-Yu
- Abstract
Background: Consciousness is an important factor of survival prediction in advanced cancer patients. However, effects on survival of changes over time in consciousness in advanced cancer patients have not been fully explored. Objective: This study evaluated changes in consciousness after admission to a palliative care unit and their correlation with prognosis in terminal cancer patients. Methods: This is a prospective observational study. From a palliative care unit in Taiwan, 531 cancer patients (51.8% male) were recruited. Consciousness status was assessed at admission and one week afterwards and recorded as normal or impaired. Results: The mean age was 65.28±13.59 years, and the average survival time was 23.41±37.69 days. Patients with normal consciousness at admission ( n=317) had better survival than those with impaired consciousness at admission ( n=214): (17.0 days versus 6.0 days, p<0.001). In the analysis on survival within one week after admission, those with normal consciousness at admission had a higher percentage of survival than the impaired (78.9% versus 44.3%, p<0.001). Patients were further classified into four groups according to consciousness levels: (1) normal at admission and one week afterwards, (2) impaired at admission but normal one week afterwards, (3) normal at admission but impaired one week afterwards, and (4) impaired both at admission and one week afterwards. The former two groups had significantly better survival than the latter two groups: (median survival counted from day 7 after admission), 25.5, 27.0, 7.0, and 7.0 days, respectively. Conclusion: Consciousness levels one week after admission should be integrated into survival prediction in advanced cancer patients.
- Subjects
TAIWAN; TUMOR prognosis; CANCER patients; CHI-squared test; CONSCIOUSNESS; HOSPITAL wards; LONGITUDINAL method; SCIENTIFIC observation; PALLIATIVE treatment; RESEARCH funding; SURVIVAL; PROPORTIONAL hazards models; DATA analysis software; DESCRIPTIVE statistics; KAPLAN-Meier estimator; LOG-rank test
- Publication
Journal of Palliative Medicine, 2015, Vol 18, Issue 2, p170
- ISSN
1096-6218
- Publication type
Article
- DOI
10.1089/jpm.2014.0220