Journal of Pain and Symptom Management
Volume 38, Issue 1 , Pages 134-144, July 2009

Using the Palliative Performance Scale to Provide Meaningful Survival Estimates

  • Francis Lau, PhD

      Affiliations

    • School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada
    • Corresponding Author InformationAddress correspondence to: Francis Lau, PhD, School of Health Information Science, University of Victoria, P.O. Box 3050 STN CSC, Victoria, British Columbia, V8W 3P5, Canada.
  • ,
  • Michael Downing, MD

      Affiliations

    • Victoria Hospice Society, Victoria, British Columbia, Canada
  • ,
  • Mary Lesperance, PhD

      Affiliations

    • Department of Mathematics and Statistics, University of Victoria, Victoria, British Columbia, Canada
  • ,
  • Nicholas Karlson, PhD

      Affiliations

    • Statistical Consulting Centre, University of Victoria, Victoria, British Columbia, Canada
  • ,
  • Craig Kuziemsky, PhD

      Affiliations

    • Telfer School of Management, University of Ottawa, Ottawa, Ontario, Canada
  • ,
  • Ju Yang, BSc

      Affiliations

    • School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada

Accepted 16 June 2008. published online 27 January 2009.

Abstract 

Although there is a growing body of knowledge on survival prediction in populations with advanced cancer receiving palliative care using the Palliative Performance Scale (PPS), this literature has focused on disease, gender, and care location, and less is known about how to apply such knowledge to be clinically meaningful. To address this issue, we evaluated a database comprising 13 years of initial PPS scores on 6066 patients, which were recorded on their first assessment by the Victoria Hospice palliative care team in the home or palliative care unit setting. Our results reaffirmed PPS as a significant predictor of survival, with increasing survival times associated with higher PPS levels. We explored survival time distributions, a life expectancy table, and a survival nomogram as three potential ways to assist in estimating survival times in palliative care. We also evaluated the concept of Kaplan-Meier survival curve “nose-tail” refinement, and observed that this approach requires more research. More work is needed to better identify those who live “longer than expected” or die “sooner than expected” to provide clinical utility in discussion with patients and families.

Key Words: Survival estimates, palliative care, Palliative Performance Scale, prognostication

 

 Funding for this study was provided by the Canadian Institutes for Health Research New Emerging Team grant in palliative and end-of-life care.

PII: S0885-3924(08)00652-0

doi:10.1016/j.jpainsymman.2008.05.017

Journal of Pain and Symptom Management
Volume 38, Issue 1 , Pages 134-144, July 2009