Literature DB >> 23880587

Prognostication based on the change in the palliative prognostic index for patients with terminal cancer.

Yuki Arai1, Yoshiro Okajima2, Kazuhiko Kotani3, Kaichiro Tamba2.   

Abstract

CONTEXT: The use of the Palliative Prognostic Index (PPI) in relation to the clinical time course has not yet been established.
OBJECTIVES: To investigate the association between the changes in the PPI over time and the survival of terminal cancer patients in a palliative care unit (PCU).
METHODS: This retrospective cohort study analyzed data from 374 terminal cancer patients who were admitted to the PCU of a university hospital in Japan. Clinical data, such as age, gender, body mass index, vital signs, initial PPI, and subsequent PPI, were collected from the medical records. The PPI change per day (ΔPPI) was calculated using the initial PPI at admission and the one after five to seven days. The factors associated with death within three weeks were identified using Cox proportional hazards model analysis.
RESULTS: After their admission to the PCU, 147 (39.3%) patients were deceased within three weeks. The multivariate-adjusted analysis showed that body temperature (hazard ratio [HR] 0.7; 95% CI 0.5, 1.0), initial PPI (HR 1.3; 95% CI 1.2, 1.4), and ΔPPI (HR 6.6; 95% CI 4.9, 9.0) were significantly and independently associated with death within three weeks. In the subanalysis, the ΔPPI was significantly associated with death within three weeks in the group with initial PPI ≤ 4 (HR 9.3; 95% CI 5.8, 15.0), 4 < initial PPI ≤ 6 (HR 14.4; 95% CI 5.7, 36.2), and initial PPI > 6 (HR 9.0; 95% CI 4.1, 20.0).
CONCLUSION: Our data suggest that the ΔPPI may be useful for predicting the survival of terminally ill cancer patients.
Copyright © 2014 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  PPI; Palliative Prognostic Index; illness trajectory; palliative care; prognostication

Mesh:

Year:  2013        PMID: 23880587     DOI: 10.1016/j.jpainsymman.2013.05.011

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


  5 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

2.  Usefulness of the Palliative Prognostic Index in patients with lung cancer.

Authors:  Minehiko Inomata; Ryuji Hayashi; Kotaro Tokui; Chihiro Taka; Seisuke Okazawa; Kenta Kambara; Tomomi Ichikawa; Kensuke Suzuki; Toru Yamada; Toshiro Miwa; Tatsuhiko Kashii; Shoko Matsui; Kazuyuki Tobe
Journal:  Med Oncol       Date:  2014-08-10       Impact factor: 3.064

3.  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

4.  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

5.  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

  5 in total

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