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Assessment of the Palliative Prognostic Index in hospitalized oncologic patients treated by a palliative care team: impact of acute concomitant diseases
The differential prognostic accuracy of the Palliative Prognostic Index (PPI) in hospitalized oncologic patients treated by a palliative care team according to the presence or absence of acute concomitant diseases was analyzed. All patients (n = 322) hospitalized in a palliative unit of a university...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5922365/ https://www.ncbi.nlm.nih.gov/pubmed/29721171 http://dx.doi.org/10.18632/oncotarget.24826 |
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author | Palomar-Muñoz, Carmen Martín-Zamorano, Marina Mogollo, Amparo Pascual-Pérez, Susana Rodríguez-Morales, Inmaculada Girón-González, José-Antonio |
author_facet | Palomar-Muñoz, Carmen Martín-Zamorano, Marina Mogollo, Amparo Pascual-Pérez, Susana Rodríguez-Morales, Inmaculada Girón-González, José-Antonio |
author_sort | Palomar-Muñoz, Carmen |
collection | PubMed |
description | The differential prognostic accuracy of the Palliative Prognostic Index (PPI) in hospitalized oncologic patients treated by a palliative care team according to the presence or absence of acute concomitant diseases was analyzed. All patients (n = 322) hospitalized in a palliative unit of a university hospital were included in a 2-year prospective study. PPI was determined at the time of hospital admission and discharge. Patients were grouped into two categories according to the causes of hospitalization (presence and absence of acute concomitant diseases). Metastases, PPI punctuation, refractory symptoms, and the presence of acute concomitant diseases were analyzed as survival-related factors. The absence of acute concomitant diseases and a PPI calculated at admission >4 or >6 were related with survival at 3 and 6 weeks, respectively. After hospital discharge, the accuracy of PPI was lower, decreasing the positive predictive value from 84% (PPI calculated at the time of hospital admission) to 67% (PPI calculated at the time of discharge) for survival <6 weeks. In conclusion, the impact of acute concomitant diseases on survival should be considered in prediction models for patients receiving palliative care. |
format | Online Article Text |
id | pubmed-5922365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-59223652018-05-02 Assessment of the Palliative Prognostic Index in hospitalized oncologic patients treated by a palliative care team: impact of acute concomitant diseases Palomar-Muñoz, Carmen Martín-Zamorano, Marina Mogollo, Amparo Pascual-Pérez, Susana Rodríguez-Morales, Inmaculada Girón-González, José-Antonio Oncotarget Research Paper The differential prognostic accuracy of the Palliative Prognostic Index (PPI) in hospitalized oncologic patients treated by a palliative care team according to the presence or absence of acute concomitant diseases was analyzed. All patients (n = 322) hospitalized in a palliative unit of a university hospital were included in a 2-year prospective study. PPI was determined at the time of hospital admission and discharge. Patients were grouped into two categories according to the causes of hospitalization (presence and absence of acute concomitant diseases). Metastases, PPI punctuation, refractory symptoms, and the presence of acute concomitant diseases were analyzed as survival-related factors. The absence of acute concomitant diseases and a PPI calculated at admission >4 or >6 were related with survival at 3 and 6 weeks, respectively. After hospital discharge, the accuracy of PPI was lower, decreasing the positive predictive value from 84% (PPI calculated at the time of hospital admission) to 67% (PPI calculated at the time of discharge) for survival <6 weeks. In conclusion, the impact of acute concomitant diseases on survival should be considered in prediction models for patients receiving palliative care. Impact Journals LLC 2018-04-10 /pmc/articles/PMC5922365/ /pubmed/29721171 http://dx.doi.org/10.18632/oncotarget.24826 Text en Copyright: © 2018 Palomar-Muñoz et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Palomar-Muñoz, Carmen Martín-Zamorano, Marina Mogollo, Amparo Pascual-Pérez, Susana Rodríguez-Morales, Inmaculada Girón-González, José-Antonio Assessment of the Palliative Prognostic Index in hospitalized oncologic patients treated by a palliative care team: impact of acute concomitant diseases |
title | Assessment of the Palliative Prognostic Index in hospitalized oncologic patients treated by a palliative care team: impact of acute concomitant diseases |
title_full | Assessment of the Palliative Prognostic Index in hospitalized oncologic patients treated by a palliative care team: impact of acute concomitant diseases |
title_fullStr | Assessment of the Palliative Prognostic Index in hospitalized oncologic patients treated by a palliative care team: impact of acute concomitant diseases |
title_full_unstemmed | Assessment of the Palliative Prognostic Index in hospitalized oncologic patients treated by a palliative care team: impact of acute concomitant diseases |
title_short | Assessment of the Palliative Prognostic Index in hospitalized oncologic patients treated by a palliative care team: impact of acute concomitant diseases |
title_sort | assessment of the palliative prognostic index in hospitalized oncologic patients treated by a palliative care team: impact of acute concomitant diseases |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5922365/ https://www.ncbi.nlm.nih.gov/pubmed/29721171 http://dx.doi.org/10.18632/oncotarget.24826 |
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