Literature DB >> 22938474

Validation of a palliative prognostic index to predict life expectancy for terminally ill cancer patients in a hospice consultation setting in Taiwan.

Wei-Hong Cheng1, Chen-Yi Kao, Yu-Shin Hung, Po-Jung Su, Chia-Hsun Hsieh, Jen-Shi Chen, Hung-Ming Wang, Wen-Chi Chou.   

Abstract

BACKGROUND: The aim of our study was to assess the practical utility of the palliative prognostic index (PPI) as a prognostic tool used by nurse specialists in a hospice consultation setting in Taiwan.
METHODS: In total, 623 terminal cancer patients under hospice consultation care from one medical center in northern Taiwan were enrolled between January 1 and June 30, 2011. PPI was assessed by a nurse specialist at first hospice consultation and patients categorized into groups by prognosis (good, intermediate, poor). Patient survival was analyzed retrospectively to determine significance of between-group differences.
RESULTS: By PPI sum score, 37.2% of patients were in the good prognosis group, 18% in the intermediate prognosis group and 44.8% in the poor prognosis group. The death rates were 56%, 81.2% and 89.6% and median survivals were 76, 18 and 7 days, respectively. The hazard ratio was 0.19 (95% confidence interval [CI] 0.10-0.24, p<0.001) for the poor versus good prognosis group and 0.54 (95% CI 0.43-0.69, p<0.001) for the poor versus intermediate prognosis group. The sensitivity and specificity for the poor prognosis group was 66% and 71%; the positive predictive value and negative predictive value were 81% and 52%, respectively, to predict patient death within 21 days (area under the curve of the receiver operating characteristic was 0.68).
CONCLUSIONS: Assessment by PPI can accurately predict survival of terminal cancer patients receiving hospice consultation care. PPI is a simple tool and can be administered by nurse members of hospice consultation teams.

Entities:  

Mesh:

Year:  2012        PMID: 22938474     DOI: 10.7314/apjcp.2012.13.6.2861

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  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.  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

3.  Validation of the prognosis in palliative care study predictor models in terminal cancer patients.

Authors:  Eun-Shin Kim; Jung-Kwon Lee; Mi-Hyun Kim; Hye-Mi Noh; Yeong-Hyeon Jin
Journal:  Korean J Fam Med       Date:  2014-11-21

4.  Prognostic tools or clinical predictions: Which are better in palliative care?

Authors:  P Stone; V Vickerstaff; A Kalpakidou; C Todd; J Griffiths; V Keeley; K Spencer; P Buckle; D Finlay; R Z Omar
Journal:  PLoS One       Date:  2021-04-28       Impact factor: 3.240

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

北京卡尤迪生物科技股份有限公司 © 2022-2023.