Literature DB >> 24709367

Combination of initial palliative prognostic index and score change provides a better prognostic value for terminally ill cancer patients: a six-year observational cohort study.

Chen-Yi Kao1, Yu-Shin Hung1, Hung-Ming Wang1, Jen-Shi Chen1, Tsu-Ling Chin2, Ching-Yi Lu2, Chuan-Chuan Chi2, Ya-Chi Yeh2, Jin-Mei Yang2, Jung-Hsuan Yen2, Wen-Chi Chou3.   

Abstract

CONTEXT: The Palliative Prognostic Index (PPI) is among the most popular scores used to predict life expectancy in terminally ill patients worldwide. PPI assessed on the first day of palliative care might be inappropriate because the contribution from subsequent changes in a patient's condition are not taken into account.
OBJECTIVES: The aim of this study is to determine the utility of sequential PPI assessments as a better prognostic tool for patients with terminal cancer.
METHODS: In total, 2392 terminally ill cancer patients with initial and one-week PPI assessments under the palliative care consultation service between January 2006 and December 2011 at a single medical center in Taiwan were selected. Patients were categorized into initial PPI, Week 1 PPI, score change (initial PPI - Week 1 PPI; Δscore), and combined initial PPI and Δscore subgroups for survival analysis.
RESULTS: Overall median survival was 32 days (range eight to 180 days), and 2183 patients (91.3%) died within 180 days of palliative care consultation service care. A significant difference in survival was observed among patient subgroups (P < 0.001). Subgroup survival analysis showed significant difference in patients with Δscores >0, 0, and <0 in each prognostic group categorized by initial PPI. The c-statistic for predicting life expectancy <30 days was significantly higher with the combined initial PPI and Δscore (c-statistic, 0.71; 95% CI, 0.694-0.731) than with the initial PPI (c-statistic, 0.63; 95% CI, 0.61-0.65), Week 1 PPI (c-statistic, 0.67; 95% CI, 0.652-0.690), or Δscore (c-statistic, 0.64; 95% CI, 0.62-0.66).
CONCLUSION: Combination of initial PPI and score change is more useful than initial PPI for identifying patients with poor outcomes in good prognostic groups and patients with better outcomes in poor prognostic groups.
Copyright © 2014 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Palliative Prognostic Index; life expectancy; prognostication; terminal cancer

Mesh:

Year:  2014        PMID: 24709367     DOI: 10.1016/j.jpainsymman.2013.12.246

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


  9 in total

1.  Magnitude of score change for the palliative prognostic index for survival prediction in patients with poor prognostic terminal cancer.

Authors:  Chia-Yen Hung; Hung-Ming Wang; Chen-Yi Kao; Yung-Chang Lin; Jen-Shi Chen; Yu-Shin Hung; Wen-Chi Chou
Journal:  Support Care Cancer       Date:  2014-05-06       Impact factor: 3.603

Review 2.  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

Review 3.  Prognostication of Survival in Patients With Advanced Cancer: Predicting the Unpredictable?

Authors:  David Hui
Journal:  Cancer Control       Date:  2015-10       Impact factor: 3.302

4.  The application of the Palliative Prognostic Index, charlson comorbidity index, and Glasgow Prognostic Score in predicting the life expectancy of patients with hematologic malignancies under palliative care.

Authors:  Wen-Chi Chou; Chen-Yi Kao; Po-Nan Wang; Hung Chang; Hung-Ming Wang; Pei-Hung Chang; Kun-Yun Yeh; Yu-Shin Hung
Journal:  BMC Palliat Care       Date:  2015-04-30       Impact factor: 3.234

5.  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

6.  Palliative Prognostic Index accuracy of survival prediction in an inpatient palliative care service at a Brazilian tertiary hospital.

Authors:  Mauricio Fernandes; Tiago Pugliese Branco; Maria Clara Navarro Fernandez; Carolina Paparelli; Mariana Sarkis Braz; Carolina Sassaki Kishimoto; Helena Maria de Freitas Medeiros; Karen Ebina; Luciana Regina Bertini Cabral; Simone Nagashima; Silvia Amaral de Avó Cortizo; Fabíola Borges; Mariana Ribeiro Monteiro; Ana Beatriz Kinupe Abrahao; Raphael Brandão Moreira; Alze Pereira Dos Santos Tavares; Pedro Nazareth Aguiar
Journal:  Ecancermedicalscience       Date:  2021-05-11

7.  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

8.  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

9.  Knowledge and use of prognostic scales by oncologists and palliative care physicians in adult patients with advanced cancer: A national survey (ONCOPRONO study).

Authors:  Raphaëlle Dantigny; Fiona Ecarnot; Guillaume Economos; Elise Perceau-Chambard; Stéphane Sanchez; Cécile Barbaret
Journal:  Cancer Med       Date:  2021-12-24       Impact factor: 4.452

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.