A picture of early death after admission in patients with advanced cancer at the end-of-life.
80 Background: Little is unknown about a picture of early death after admission in terminal phase of advanced cancer patients. Previous studies have reported that approximately 14.3% of patients with cancer enroll in hospice in the last 3days of life. Methods: We retrospectively analyzed data for 510 advanced cancer patients at the end of life between August 2011 and August 2016, and contained deceased 83 (16.3%) patients within 3days after admission in our institute. We divided into deceased patients within 3days and more than 4days after admission. Primary endpoints are to compare each symptom (delirium, cancer pain, dyspnea, nausea and vomiting, fatigue) and intervention (hydration, continuous sedation, opioid) at the end of life. Secondary endpoints are association between prognostic factor and early death (within 3days) after admission. Results: Symptoms about delirium, cancer pain, dyspnea, nausea and vomiting were no significant difference between deceased patients within 3days and more than 4days after admission. Mean hydration at the end of life was more significantly volume of infusion for patients in within 3days (0.34 Litters/day) than in over 4 days (0.20 Litters/day). Continuous sedation was significantly less for patients within 3days (4.82%) than in over 4 days (28.64%). Mean of opioid use was significantly less for patients within 3days (Oral morphine dose 23.54mg/day) than in over 4 days (41.11mg/day). In univariate analysis primary site of cancer was tend to (p = 0.086), and number of metastatic site (p = 0.018) and consciousness level ( < 0.0001) and performance status ( < 0.0001) were significantly associated with early death. In multivariate analysis number of metastatic site (p = 0.057) and consciousness level ( < 0.0001) and performance status (p = 0.0004) were significantly associated with early death. Conclusions: We reports a picture of early death after admission in advanced cancer patients at the end-of-life, and number of metastatic site and consciousness level and performance status might be predictors for short-term prediction model.