Literature DB >> 19232892

Use of the Palliative Performance Scale (PPS) for end-of-life prognostication in a palliative medicine consultation service.

Francis Lau1, Vincent Maida, Michael Downing, Mary Lesperance, Nicholas Karlson, Craig Kuziemsky.   

Abstract

This study examines the use of the Palliative Performance Scale (PPS) in end-of-life prognostication within a regional palliative care program in a Canadian province. The analysis was done on a prospective cohort of 513 patients assessed by a palliative care consult team as part of an initial community/hospital-based consult. The variables used were initial PPS score, age, gender, diagnosis, cancer type, and survival time. The findings revealed initial PPS to be a significant predictor of survival, along with age, diagnosis, cancer type and site, but not gender. The survival curves were distinct for PPS 10%, 20%, and 30% individually, and for 40%-60% and > or =70% as bands. This is consistent with earlier findings of the ambiguity and difficulty when assessing patients at higher PPS levels because of the subjective nature of the tool. We advocate the use of median survival and survival rates based on a local cohort where feasible, when reporting individual survival estimates.

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Year:  2009        PMID: 19232892     DOI: 10.1016/j.jpainsymman.2008.08.003

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  23 in total

1.  Prospective comparison of prognostic scores in palliative care cancer populations.

Authors:  Marco Maltoni; Emanuela Scarpi; Cristina Pittureri; Francesca Martini; Luigi Montanari; Elena Amaducci; Stefania Derni; Laura Fabbri; Marta Rosati; Dino Amadori; Oriana Nanni
Journal:  Oncologist       Date:  2012-02-29

2.  Exploring generalizability in a study of costs for community-based palliative care.

Authors:  M Ruth Lavergne; Grace M Johnston; Jun Gao; Serge Dumont; Fred I Burge
Journal:  J Pain Symptom Manage       Date:  2011-01-28       Impact factor: 3.612

Review 3.  Palliative care for chronic illness: driving change.

Authors:  Graeme Rocker; James Downar; R Sean Morrison
Journal:  CMAJ       Date:  2016-08-22       Impact factor: 8.262

4.  Intervention to improve care at life's end in inpatient settings: the BEACON trial.

Authors:  F Amos Bailey; Beverly R Williams; Lesa L Woodby; Patricia S Goode; David T Redden; Thomas K Houston; U Shanette Granstaff; Theodore M Johnson; Leslye C Pennypacker; K Sue Haddock; John M Painter; Jessie M Spencer; Thomas Hartney; Kathryn L Burgio
Journal:  J Gen Intern Med       Date:  2014-06       Impact factor: 5.128

5.  Incorporating routine survival prediction in a U.S. hospital-based palliative care service.

Authors:  Erik K Fromme; Mary Denise Smith; Paul B Bascom; Tawni Kenworthy-Heinige; Karen S Lyons; Susan W Tolle
Journal:  J Palliat Med       Date:  2010-12-03       Impact factor: 2.947

6.  [A German version of the Palliative Performance Scale (PPS) as a supportive structure to assess survival in palliative patients].

Authors:  Veronika Mosich; Martin Andersag; Herbert Watzke
Journal:  Wien Med Wochenschr       Date:  2019-11-14

Review 7.  Dealing with prognostic uncertainty: the role of prognostic models and websites for patients with advanced cancer.

Authors:  David Hui; John P Maxwell; Carlos Eduardo Paiva
Journal:  Curr Opin Support Palliat Care       Date:  2019-12       Impact factor: 2.302

8.  Using the Palliative Performance Scale to Estimate Survival for Patients at the End of Life: A Systematic Review of the Literature.

Authors:  Dawon Baik; David Russell; Lizeyka Jordan; Frances Dooley; Kathryn H Bowles; Ruth M Masterson Creber
Journal:  J Palliat Med       Date:  2018-08-21       Impact factor: 2.947

9.  Anticholinergic Drug Burden in Noncancer Versus Cancer Patients Near the End of Life.

Authors:  Michael J Hochman; Arif H Kamal; Steven P Wolf; Greg P Samsa; David C Currow; Amy P Abernethy; Thomas W LeBlanc
Journal:  J Pain Symptom Manage       Date:  2016-09-20       Impact factor: 3.612

10.  Estimating and communicating prognosis in advanced neurologic disease.

Authors:  Robert G Holloway; Robert Gramling; Adam G Kelly
Journal:  Neurology       Date:  2013-02-19       Impact factor: 9.910

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