Literature DB >> 21477974

Evaluation of the Palliative Prognostic Score (PaP) and routinely collected clinical data in prognostication of survival for patients referred to a palliative care consultation service in an acute care hospital.

Yoko Tarumi1, Sharon M Watanabe, Francis Lau, Ju Yang, Hue Quan, Lorelei Sawchuk, Donna deMoissac, Gary Wolch, Vincent Thai.   

Abstract

CONTEXT: Patients, caregivers, and clinicians require high levels of information regarding prognosis when conditions are incurable.
OBJECTIVES: 1) To validate the Palliative Prognostic Score (PaP) and 2) to evaluate prognostic capacity of used clinical tools and the diagnosis of delirium, in a population referred to a palliative care consultation service at a Canadian acute care hospital.
METHODS: This was a prospective observational cohort study on survival prediction based on the PaP and routinely collected clinical data, including the Palliative Performance Scale (PPS) and the Folstein Mini-Mental State Examination (MMSE). Kaplan-Meier survival curves, log-rank tests for significant differences between survival curves, and the Cox proportional hazards model were used to identify the relationship between the hazard ratio for death and the above variables.
RESULTS: Nine hundred fifty-eight cases underwent final analysis, of which 181 (19%) had a noncancer diagnosis. Median and mean survival were 35 and 131 days, respectively. The three groups, divided based on different ranges of PaP, had significantly different survival curves, with 30-day-survival rates of 78%, 55%, and 11%. Age, PPS, and PaP remained significantly associated with survival, whereas diagnosis group, MMSE, and delirium became insignificant, despite lower hazard of death for cancer vs. noncancer and higher hazard for abnormal vs. normal MMSE and presence vs. absence of delirium.
CONCLUSION: The PaP was successfully validated in a population with characteristics that extend beyond those of the population in which it was originally developed. This is the largest sample in which the PaP has been validated to date.
Copyright © 2011 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 21477974     DOI: 10.1016/j.jpainsymman.2010.12.013

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


  13 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.  Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study.

Authors:  Patrick Stone; Anastasia Kalpakidou; Chris Todd; Jane Griffiths; Vaughan Keeley; Karen Spencer; Peter Buckle; Dori-Anne Finlay; Victoria Vickerstaff; Rumana Z Omar
Journal:  Health Technol Assess       Date:  2021-05       Impact factor: 4.014

3.  A systematically structured review of biomarkers of dying in cancer patients in the last months of life; An exploration of the biology of dying.

Authors:  Victoria Louise Reid; Rachael McDonald; Amara Callistus Nwosu; Stephen R Mason; Chris Probert; John E Ellershaw; Séamus Coyle
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

4.  Development and validation of a prognostic nomogram for ambulatory patients with advanced cancer.

Authors:  Carlos Eduardo Paiva; Bianca Sakamoto Ribeiro Paiva; Naitielle de Paula Pântano; Daniel D'Almeida Preto; Cleyton Zanardo de Oliveira; Sriram Yennurajalingam; David Hui; Eduardo Bruera
Journal:  Cancer Med       Date:  2018-06-01       Impact factor: 4.452

5.  The incidence and prevalence of delirium across palliative care settings: A systematic review.

Authors:  Christine L Watt; Franco Momoli; Mohammed T Ansari; Lindsey Sikora; Shirley H Bush; Annmarie Hosie; Monisha Kabir; Erin Rosenberg; Salmaan Kanji; Peter G Lawlor
Journal:  Palliat Med       Date:  2019-06-11       Impact factor: 4.762

6.  Outcome, demography and resource utilization in ICU Patients with delirium and malignancy.

Authors:  Mattia Sieber; Alain Rudiger; Maria Schubert; Dominique Bettex; Reto Schüpbach; Bernard Krüger
Journal:  Sci Rep       Date:  2021-09-21       Impact factor: 4.379

7.  Are physicians ethically obligated to address hospice as an alternative to "usual" treatment of advancing end-stage disease?

Authors:  Frederick A Smith
Journal:  J IMA       Date:  2011-12

8.  The Prognosis in Palliative care Study II (PiPS2): study protocol for a multi-centre, prospective, observational, cohort study.

Authors:  Anastasia K Kalpakidou; Chris Todd; Vaughan Keeley; Jane Griffiths; Karen Spencer; Victoria Vickerstaff; Rumana Z Omar; Patrick Stone
Journal:  BMC Palliat Care       Date:  2018-08-13       Impact factor: 3.234

9.  Validation of the Palliative Prognostic Index, Performance Status-Based Palliative Prognostic Index and Chinese Prognostic Scale in a home palliative care setting for patients with advanced cancer in China.

Authors:  Jun Zhou; Sitao Xu; Ziye Cao; Jing Tang; Xiang Fang; Ling Qin; Fangping Zhou; Yuzhen He; Xueren Zhong; Mingcai Hu; Yan Wang; Fengjuan Lu; Yongzheng Bao; Xiangheng Dai; Qiang Wu
Journal:  BMC Palliat Care       Date:  2020-10-31       Impact factor: 3.234

10.  Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients.

Authors:  Tien Yun Yang; Pin-Yu Kuo; Yaoru Huang; Hsiao-Wei Lin; Shwetambara Malwade; Long-Sheng Lu; Lung-Wen Tsai; Shabbir Syed-Abdul; Chia-Wei Sun; Jeng-Fong Chiou
Journal:  Front Public Health       Date:  2021-12-09
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