Affiliations 

  • 1 University Malaya Medical Centre, Department of Clinical Oncology, Lembah Pantai, 59100 Kuala Lumpur, Malaysia. assyadwa@gmail.com
  • 2 University Malaya Medical Centre, Department of Clinical Oncology, Lembah Pantai, 59100 Kuala Lumpur, Malaysia
Med J Malaysia, 2018 08;73(4):190-196.
PMID: 30121680 MyJurnal

Abstract

AIM: Symptomatic relief following palliative radiotherapy for advanced cancers may take a few weeks up to a few months to achieve. Thus, accurate prognostication is important to avoid harm to these patients with limited lifespan. We conducted a retrospective cohort study to determine the median survival and 30-day mortality (30-DM) and factors associated with these parameters in our centre.

METHODS: Data from 585 eligible patients who received palliative radiotherapy between January 2012 and December 2014 were analysed. Median overall survival was calculated from the commencement of first fraction of the last course of radiotherapy to date of death or when censored. 30-DM was calculated as the proportion of patients who died within 30 days from treatment start date. Kaplan-Meier survival analysis was used to estimate survival. Chi-square test and logistic regression was used to assess the impact of potential prognostic factors on median survival and 30-DM.

RESULTS: The most common diagnoses were lung and breast cancers and most common irradiated sites were bone and brain. Median survival and 30-DM were 97 days and 22.7% respectively. Primary cancer, age, treatment course, performance status, systemic treatment post radiotherapy and intended radiotherapy treatment completed had an impact on median survival whereas mainly the latter three factors had an impact on 30-DM.

CONCLUSION: Median survival and factors affecting both survival and 30-DM in our study are comparable to others. However, a 30-DM rate of 22.7% is significantly higher compared to the literature. We need to better select patients who will benefit from palliative radiotherapy in our centre.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.