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Comprehensive geriatric assessment in older patients with cancer: an external validation of the multidimensional prognostic index in a French prospective cohort study

BACKGROUND: Older patients with cancer require specific and individualized management. The 3-group Multidimensional Prognostic Index (MPI) based on the Comprehensive Geriatric Assessment (CGA) has shown a predictive interest in terms of mortality. The objective of our study was to assess the prognos...

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Autores principales: Liuu, Evelyne, Hu, Chunyun, Valero, Simon, Brunet, Thomas, Jamet, Amelie, Bureau, Marie-Laure, Pilotto, Alberto, Saulnier, Pierre-Jean, Paccalin, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433061/
https://www.ncbi.nlm.nih.gov/pubmed/32811435
http://dx.doi.org/10.1186/s12877-020-01692-8
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author Liuu, Evelyne
Hu, Chunyun
Valero, Simon
Brunet, Thomas
Jamet, Amelie
Bureau, Marie-Laure
Pilotto, Alberto
Saulnier, Pierre-Jean
Paccalin, Marc
author_facet Liuu, Evelyne
Hu, Chunyun
Valero, Simon
Brunet, Thomas
Jamet, Amelie
Bureau, Marie-Laure
Pilotto, Alberto
Saulnier, Pierre-Jean
Paccalin, Marc
author_sort Liuu, Evelyne
collection PubMed
description BACKGROUND: Older patients with cancer require specific and individualized management. The 3-group Multidimensional Prognostic Index (MPI) based on the Comprehensive Geriatric Assessment (CGA) has shown a predictive interest in terms of mortality. The objective of our study was to assess the prognostic value of MPI for 1-year mortality in an external prospective French cohort of elderly patients with cancer. METHODS: From March 2015 to March 2017 a prospective single-center cohort study enrolled all patients with cancer, aged 75 years and older referred to the geriatric oncology clinic. We used a proportional hazard model for 1-year mortality adjusted for age, sex, tumor sites and metastatic status. C-statistics were used to assess the incremental predictive value of MPI index to these risk factors. RESULTS: overall, 433 patients underwent CGA with MPI (women 42%; mean age 82.8 ± 4.8 years). The most common tumor sites were prostate (23%), skin (17%), colorectum (15%) and breast (12%); 29% of patients had a metastatic disease; 231 patients (53%) belonged to the “MPI-1” group, 172 (40%) to the “MPI-2” group and 30 patients were classified in the “MPI-3” group. One-year mortality rate was 32% (23% in MPI-1, 41% in MPI-2 and 53% in MPI-3, p = 0.024). All domains of MPI except cognition and living status were significantly associated with mortality at one-year, as well as tumor sites and metastatic status. Higher MPI was associated with a higher mortality risk (adjusted HR 1.56 [95%CI 1.70–2.09] and 1.72 [1.33–2.22] for MPI groups 2 and 3 compared to 1; p < 0.0001). CONCLUSIONS: In addition to established risk factors, MPI improves risk prediction of 1-year mortality. This practical prognostic tool may help to optimize management of these vulnerable patients.
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spelling pubmed-74330612020-08-19 Comprehensive geriatric assessment in older patients with cancer: an external validation of the multidimensional prognostic index in a French prospective cohort study Liuu, Evelyne Hu, Chunyun Valero, Simon Brunet, Thomas Jamet, Amelie Bureau, Marie-Laure Pilotto, Alberto Saulnier, Pierre-Jean Paccalin, Marc BMC Geriatr Research Article BACKGROUND: Older patients with cancer require specific and individualized management. The 3-group Multidimensional Prognostic Index (MPI) based on the Comprehensive Geriatric Assessment (CGA) has shown a predictive interest in terms of mortality. The objective of our study was to assess the prognostic value of MPI for 1-year mortality in an external prospective French cohort of elderly patients with cancer. METHODS: From March 2015 to March 2017 a prospective single-center cohort study enrolled all patients with cancer, aged 75 years and older referred to the geriatric oncology clinic. We used a proportional hazard model for 1-year mortality adjusted for age, sex, tumor sites and metastatic status. C-statistics were used to assess the incremental predictive value of MPI index to these risk factors. RESULTS: overall, 433 patients underwent CGA with MPI (women 42%; mean age 82.8 ± 4.8 years). The most common tumor sites were prostate (23%), skin (17%), colorectum (15%) and breast (12%); 29% of patients had a metastatic disease; 231 patients (53%) belonged to the “MPI-1” group, 172 (40%) to the “MPI-2” group and 30 patients were classified in the “MPI-3” group. One-year mortality rate was 32% (23% in MPI-1, 41% in MPI-2 and 53% in MPI-3, p = 0.024). All domains of MPI except cognition and living status were significantly associated with mortality at one-year, as well as tumor sites and metastatic status. Higher MPI was associated with a higher mortality risk (adjusted HR 1.56 [95%CI 1.70–2.09] and 1.72 [1.33–2.22] for MPI groups 2 and 3 compared to 1; p < 0.0001). CONCLUSIONS: In addition to established risk factors, MPI improves risk prediction of 1-year mortality. This practical prognostic tool may help to optimize management of these vulnerable patients. BioMed Central 2020-08-18 /pmc/articles/PMC7433061/ /pubmed/32811435 http://dx.doi.org/10.1186/s12877-020-01692-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Liuu, Evelyne
Hu, Chunyun
Valero, Simon
Brunet, Thomas
Jamet, Amelie
Bureau, Marie-Laure
Pilotto, Alberto
Saulnier, Pierre-Jean
Paccalin, Marc
Comprehensive geriatric assessment in older patients with cancer: an external validation of the multidimensional prognostic index in a French prospective cohort study
title Comprehensive geriatric assessment in older patients with cancer: an external validation of the multidimensional prognostic index in a French prospective cohort study
title_full Comprehensive geriatric assessment in older patients with cancer: an external validation of the multidimensional prognostic index in a French prospective cohort study
title_fullStr Comprehensive geriatric assessment in older patients with cancer: an external validation of the multidimensional prognostic index in a French prospective cohort study
title_full_unstemmed Comprehensive geriatric assessment in older patients with cancer: an external validation of the multidimensional prognostic index in a French prospective cohort study
title_short Comprehensive geriatric assessment in older patients with cancer: an external validation of the multidimensional prognostic index in a French prospective cohort study
title_sort comprehensive geriatric assessment in older patients with cancer: an external validation of the multidimensional prognostic index in a french prospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433061/
https://www.ncbi.nlm.nih.gov/pubmed/32811435
http://dx.doi.org/10.1186/s12877-020-01692-8
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