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Prediction of Unplanned Hospitalizations in Older Patients Treated with Chemotherapy

SIMPLE SUMMARY: Unplanned hospitalizations (UHs) are common among elderly patients with cancer who receive chemotherapy. This fact decreases quality of life or performance status and increases health costs. Our objective was to determine predictive factors for UH in this population. A score based on...

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Autores principales: Feliu, Jaime, Espinosa, Enrique, Basterretxea, Laura, Paredero, Irene, Llabrés, Elisenda, Jiménez-Munárriz, Beatriz, Losada, Beatriz, Pinto, Alvaro, Custodio, Ana Belén, Muñoz, María del Mar, Gómez-Mediavilla, Jeniffer, Torregrosa, María Dolores, Cruz, Patricia, Higuera, Oliver, Molina-Garrido, María José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004134/
https://www.ncbi.nlm.nih.gov/pubmed/33809852
http://dx.doi.org/10.3390/cancers13061437
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author Feliu, Jaime
Espinosa, Enrique
Basterretxea, Laura
Paredero, Irene
Llabrés, Elisenda
Jiménez-Munárriz, Beatriz
Losada, Beatriz
Pinto, Alvaro
Custodio, Ana Belén
Muñoz, María del Mar
Gómez-Mediavilla, Jeniffer
Torregrosa, María Dolores
Cruz, Patricia
Higuera, Oliver
Molina-Garrido, María José
author_facet Feliu, Jaime
Espinosa, Enrique
Basterretxea, Laura
Paredero, Irene
Llabrés, Elisenda
Jiménez-Munárriz, Beatriz
Losada, Beatriz
Pinto, Alvaro
Custodio, Ana Belén
Muñoz, María del Mar
Gómez-Mediavilla, Jeniffer
Torregrosa, María Dolores
Cruz, Patricia
Higuera, Oliver
Molina-Garrido, María José
author_sort Feliu, Jaime
collection PubMed
description SIMPLE SUMMARY: Unplanned hospitalizations (UHs) are common among elderly patients with cancer who receive chemotherapy. This fact decreases quality of life or performance status and increases health costs. Our objective was to determine predictive factors for UH in this population. A score based on six variables taken from geriatric assessment and chemotherapy characteristics was developed in a series of 493 elderly patients receiving chemotherapy. The use of this score may reliably identify patients at risk for UH, thus helping to plan treatment, implement adaptive measures, and set up a close follow-up schedule. ABSTRACT: Purpose: To determine the incidence of unplanned hospitalization (UH) and to identify risk factors for UH in elderly patients with cancer who start chemotherapy. Methods: In all, 493 patients over 70 years starting new chemotherapy regimens were prospectively included. A pre-chemotherapy geriatric assessment was performed, and tumor and treatment variables were collected. The association between these factors and UH was examined by using multivariable logistic regression. Score points were assigned to each risk factor. Results: During the first 6 months of treatment, 37% of patients had at least one episode of UH. Risk factors were the use of combination chemotherapy at standard doses, a MAX2 index ≥1, a Charlson comorbidity score ≥2, albumin level <3.5 g/dL, falls in the past 6 months ≥1, and weight loss >5%. Three risk groups for UH were established according to the score in all patients: 0–1: 17.5%; 2: 34%; and 3–7: 57% (p < 0.001). The area under receiver operation characteristic (ROC) curve was 0.72 (95% CI: 0.67–0.77). Conclusion: This simple tool can help to reduce the incidence of UH in elderly patients with cancer who are scheduled to initiate chemotherapy treatment.
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spelling pubmed-80041342021-03-28 Prediction of Unplanned Hospitalizations in Older Patients Treated with Chemotherapy Feliu, Jaime Espinosa, Enrique Basterretxea, Laura Paredero, Irene Llabrés, Elisenda Jiménez-Munárriz, Beatriz Losada, Beatriz Pinto, Alvaro Custodio, Ana Belén Muñoz, María del Mar Gómez-Mediavilla, Jeniffer Torregrosa, María Dolores Cruz, Patricia Higuera, Oliver Molina-Garrido, María José Cancers (Basel) Article SIMPLE SUMMARY: Unplanned hospitalizations (UHs) are common among elderly patients with cancer who receive chemotherapy. This fact decreases quality of life or performance status and increases health costs. Our objective was to determine predictive factors for UH in this population. A score based on six variables taken from geriatric assessment and chemotherapy characteristics was developed in a series of 493 elderly patients receiving chemotherapy. The use of this score may reliably identify patients at risk for UH, thus helping to plan treatment, implement adaptive measures, and set up a close follow-up schedule. ABSTRACT: Purpose: To determine the incidence of unplanned hospitalization (UH) and to identify risk factors for UH in elderly patients with cancer who start chemotherapy. Methods: In all, 493 patients over 70 years starting new chemotherapy regimens were prospectively included. A pre-chemotherapy geriatric assessment was performed, and tumor and treatment variables were collected. The association between these factors and UH was examined by using multivariable logistic regression. Score points were assigned to each risk factor. Results: During the first 6 months of treatment, 37% of patients had at least one episode of UH. Risk factors were the use of combination chemotherapy at standard doses, a MAX2 index ≥1, a Charlson comorbidity score ≥2, albumin level <3.5 g/dL, falls in the past 6 months ≥1, and weight loss >5%. Three risk groups for UH were established according to the score in all patients: 0–1: 17.5%; 2: 34%; and 3–7: 57% (p < 0.001). The area under receiver operation characteristic (ROC) curve was 0.72 (95% CI: 0.67–0.77). Conclusion: This simple tool can help to reduce the incidence of UH in elderly patients with cancer who are scheduled to initiate chemotherapy treatment. MDPI 2021-03-22 /pmc/articles/PMC8004134/ /pubmed/33809852 http://dx.doi.org/10.3390/cancers13061437 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Feliu, Jaime
Espinosa, Enrique
Basterretxea, Laura
Paredero, Irene
Llabrés, Elisenda
Jiménez-Munárriz, Beatriz
Losada, Beatriz
Pinto, Alvaro
Custodio, Ana Belén
Muñoz, María del Mar
Gómez-Mediavilla, Jeniffer
Torregrosa, María Dolores
Cruz, Patricia
Higuera, Oliver
Molina-Garrido, María José
Prediction of Unplanned Hospitalizations in Older Patients Treated with Chemotherapy
title Prediction of Unplanned Hospitalizations in Older Patients Treated with Chemotherapy
title_full Prediction of Unplanned Hospitalizations in Older Patients Treated with Chemotherapy
title_fullStr Prediction of Unplanned Hospitalizations in Older Patients Treated with Chemotherapy
title_full_unstemmed Prediction of Unplanned Hospitalizations in Older Patients Treated with Chemotherapy
title_short Prediction of Unplanned Hospitalizations in Older Patients Treated with Chemotherapy
title_sort prediction of unplanned hospitalizations in older patients treated with chemotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004134/
https://www.ncbi.nlm.nih.gov/pubmed/33809852
http://dx.doi.org/10.3390/cancers13061437
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