Prediction of Patient Survival by Change in Daily Opioid Dosage in Advanced Cancer Patients: A Prospective Hospital-based Epidemiologic Study. (30th September 2014)
- Record Type:
- Journal Article
- Title:
- Prediction of Patient Survival by Change in Daily Opioid Dosage in Advanced Cancer Patients: A Prospective Hospital-based Epidemiologic Study. (30th September 2014)
- Main Title:
- Prediction of Patient Survival by Change in Daily Opioid Dosage in Advanced Cancer Patients: A Prospective Hospital-based Epidemiologic Study
- Authors:
- Chiang, Jui-Kun
Kao, Yee-Hsin - Abstract:
- Abstract : Objective: Pain control helps improve quality of life for advanced cancer patients, yet it is unknown whether opioid use increases risk of death. Analyzing the association between time-varying pain medication and the risk of death presents a challenge. This prospective observational study examined the predictability of the patients' survival by variations of daily opioid dosage during the last few days of life. Methods: Of the 231 cancer patients admitted to a hospice ward between July 2007 and June 2008 was conducted using Cox's model and adjusting for the effects of demography, clinical symptoms/signs, intravenous fluid supplements, antibiotics use and laboratory tests. Results: We found a 3-day negative slope in daily oral morphine equivalent 1 day before each death event to be an independently significant predictor of short time to death (hazard ratio = 1.55; 95% confidence interval: 1.06–2.27). The other significant predictors including faster heart-rate (hazard ratio = 1.01, 95% confidence interval: 1.00–1.02), comorbidity with diabetes (hazard ratio = 1.57, 95% confidence interval: 1.00–2.47), Eastern Cooperative Oncology Group with performance status of 3 or 4 (hazard ratio = 1.78, 95% confidence interval: 1.23–2.58), jaundice (hazard ratio = 2.01, 95% confidence interval: 1.29–3.15), hypercalcemia (hazard ratio = 2.05, 95% confidence interval: 1.40–3.00) and higher serum creatinine level (hazard ratio = 1.36, 95% confidence interval: 1.18–1.57), but useAbstract : Objective: Pain control helps improve quality of life for advanced cancer patients, yet it is unknown whether opioid use increases risk of death. Analyzing the association between time-varying pain medication and the risk of death presents a challenge. This prospective observational study examined the predictability of the patients' survival by variations of daily opioid dosage during the last few days of life. Methods: Of the 231 cancer patients admitted to a hospice ward between July 2007 and June 2008 was conducted using Cox's model and adjusting for the effects of demography, clinical symptoms/signs, intravenous fluid supplements, antibiotics use and laboratory tests. Results: We found a 3-day negative slope in daily oral morphine equivalent 1 day before each death event to be an independently significant predictor of short time to death (hazard ratio = 1.55; 95% confidence interval: 1.06–2.27). The other significant predictors including faster heart-rate (hazard ratio = 1.01, 95% confidence interval: 1.00–1.02), comorbidity with diabetes (hazard ratio = 1.57, 95% confidence interval: 1.00–2.47), Eastern Cooperative Oncology Group with performance status of 3 or 4 (hazard ratio = 1.78, 95% confidence interval: 1.23–2.58), jaundice (hazard ratio = 2.01, 95% confidence interval: 1.29–3.15), hypercalcemia (hazard ratio = 2.05, 95% confidence interval: 1.40–3.00) and higher serum creatinine level (hazard ratio = 1.36, 95% confidence interval: 1.18–1.57), but use first generation of cephalosporin was a negative predictor of short time to death (hazard ratio = 0.44, 95% confidence interval: 0.28–0.68). Conclusion: A reduction of daily oral morphine equivalent over three consecutive days suggests worsening physical condition significantly and independently predicting imminent death ∼1 day later. … (more)
- Is Part Of:
- Japanese journal of clinical oncology. Volume 44:Number 12(2014:Dec.)
- Journal:
- Japanese journal of clinical oncology
- Issue:
- Volume 44:Number 12(2014:Dec.)
- Issue Display:
- Volume 44, Issue 12 (2014)
- Year:
- 2014
- Volume:
- 44
- Issue:
- 12
- Issue Sort Value:
- 2014-0044-0012-0000
- Page Start:
- 1189
- Page End:
- 1197
- Publication Date:
- 2014-09-30
- Subjects:
- prediction -- survival -- opioid -- cancer
Oncology -- Periodicals
Cancer -- Periodicals
616.994005 - Journal URLs:
- http://jjco.oupjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/jjco/hyu153 ↗
- Languages:
- English
- ISSNs:
- 0368-2811
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4651.378000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12748.xml