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Hospitalization and definitive radiotherapy in lung cancer: incidence, risk factors and survival impact

BACKGROUND: Unplanned hospitalization during cancer treatment is costly, can disrupt treatment, and affect patient quality of life. However, incidence and risks factors for hospitalization during lung cancer radiotherapy are not well characterized. METHODS: Patients treated with definitive intent ra...

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Autores principales: Hazell, Sarah Z., Mai, Nicholas, Fu, Wei, Hu, Chen, Friedes, Cole, Negron, Alex, Voong, Khinh Ranh, Feliciano, Josephine L., Han, Peijin, Myers, Samantha, McNutt, Todd R., Hales, Russell K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169027/
https://www.ncbi.nlm.nih.gov/pubmed/32306924
http://dx.doi.org/10.1186/s12885-020-06843-z
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author Hazell, Sarah Z.
Mai, Nicholas
Fu, Wei
Hu, Chen
Friedes, Cole
Negron, Alex
Voong, Khinh Ranh
Feliciano, Josephine L.
Han, Peijin
Myers, Samantha
McNutt, Todd R.
Hales, Russell K.
author_facet Hazell, Sarah Z.
Mai, Nicholas
Fu, Wei
Hu, Chen
Friedes, Cole
Negron, Alex
Voong, Khinh Ranh
Feliciano, Josephine L.
Han, Peijin
Myers, Samantha
McNutt, Todd R.
Hales, Russell K.
author_sort Hazell, Sarah Z.
collection PubMed
description BACKGROUND: Unplanned hospitalization during cancer treatment is costly, can disrupt treatment, and affect patient quality of life. However, incidence and risks factors for hospitalization during lung cancer radiotherapy are not well characterized. METHODS: Patients treated with definitive intent radiation (≥45 Gy) for lung cancer between 2008 and 2018 at a tertiary academic institution were identified. In addition to patient, tumor, and treatment related characteristics, specific baseline frailty markers (Charlson comorbidity index, ECOG, patient reported weight loss, BMI, hemoglobin, creatinine, albumin) were recorded. All cancer-related hospitalizations during or within 30 days of completing radiation were identified. Associations between baseline variables and any hospitalization, number of hospitalizations, and overall survival were identified using multivariable linear regression and multivariable Cox proportional-hazards models, respectively. RESULTS: Of 270 patients included: median age was 66.6 years (31–88), 50.4% of patients were male (n = 136), 62% were Caucasian (n = 168). Cancer-related hospitalization incidence was 17% (n = 47), of which 21% of patients hospitalized (n = 10/47) had > 1 hospitalization. On multivariable analysis, each 1 g/dL baseline drop in albumin was associated with a 2.4 times higher risk of any hospitalization (95% confidence interval (CI) 1.2–5.0, P = 0.01), and baseline hemoglobin ≤10 was associated with, on average, 2.7 more hospitalizations than having pre-treatment hemoglobin > 10 (95% CI 1.3–5.4, P = 0.01). After controlling for baseline variables, cancer-related hospitalization was associated with 1.8 times increased risk of all-cause death (95% CI: 1.02–3.1, P = 0.04). CONCLUSIONS: Our data show baseline factors can predict those who may be at increased risk for hospitalization, which was independently associated with increased mortality. Taken together, these data support the need for developing further studies aimed at early and aggressive interventions to decrease hospitalizations during treatment.
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spelling pubmed-71690272020-04-23 Hospitalization and definitive radiotherapy in lung cancer: incidence, risk factors and survival impact Hazell, Sarah Z. Mai, Nicholas Fu, Wei Hu, Chen Friedes, Cole Negron, Alex Voong, Khinh Ranh Feliciano, Josephine L. Han, Peijin Myers, Samantha McNutt, Todd R. Hales, Russell K. BMC Cancer Research Article BACKGROUND: Unplanned hospitalization during cancer treatment is costly, can disrupt treatment, and affect patient quality of life. However, incidence and risks factors for hospitalization during lung cancer radiotherapy are not well characterized. METHODS: Patients treated with definitive intent radiation (≥45 Gy) for lung cancer between 2008 and 2018 at a tertiary academic institution were identified. In addition to patient, tumor, and treatment related characteristics, specific baseline frailty markers (Charlson comorbidity index, ECOG, patient reported weight loss, BMI, hemoglobin, creatinine, albumin) were recorded. All cancer-related hospitalizations during or within 30 days of completing radiation were identified. Associations between baseline variables and any hospitalization, number of hospitalizations, and overall survival were identified using multivariable linear regression and multivariable Cox proportional-hazards models, respectively. RESULTS: Of 270 patients included: median age was 66.6 years (31–88), 50.4% of patients were male (n = 136), 62% were Caucasian (n = 168). Cancer-related hospitalization incidence was 17% (n = 47), of which 21% of patients hospitalized (n = 10/47) had > 1 hospitalization. On multivariable analysis, each 1 g/dL baseline drop in albumin was associated with a 2.4 times higher risk of any hospitalization (95% confidence interval (CI) 1.2–5.0, P = 0.01), and baseline hemoglobin ≤10 was associated with, on average, 2.7 more hospitalizations than having pre-treatment hemoglobin > 10 (95% CI 1.3–5.4, P = 0.01). After controlling for baseline variables, cancer-related hospitalization was associated with 1.8 times increased risk of all-cause death (95% CI: 1.02–3.1, P = 0.04). CONCLUSIONS: Our data show baseline factors can predict those who may be at increased risk for hospitalization, which was independently associated with increased mortality. Taken together, these data support the need for developing further studies aimed at early and aggressive interventions to decrease hospitalizations during treatment. BioMed Central 2020-04-19 /pmc/articles/PMC7169027/ /pubmed/32306924 http://dx.doi.org/10.1186/s12885-020-06843-z 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
Hazell, Sarah Z.
Mai, Nicholas
Fu, Wei
Hu, Chen
Friedes, Cole
Negron, Alex
Voong, Khinh Ranh
Feliciano, Josephine L.
Han, Peijin
Myers, Samantha
McNutt, Todd R.
Hales, Russell K.
Hospitalization and definitive radiotherapy in lung cancer: incidence, risk factors and survival impact
title Hospitalization and definitive radiotherapy in lung cancer: incidence, risk factors and survival impact
title_full Hospitalization and definitive radiotherapy in lung cancer: incidence, risk factors and survival impact
title_fullStr Hospitalization and definitive radiotherapy in lung cancer: incidence, risk factors and survival impact
title_full_unstemmed Hospitalization and definitive radiotherapy in lung cancer: incidence, risk factors and survival impact
title_short Hospitalization and definitive radiotherapy in lung cancer: incidence, risk factors and survival impact
title_sort hospitalization and definitive radiotherapy in lung cancer: incidence, risk factors and survival impact
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169027/
https://www.ncbi.nlm.nih.gov/pubmed/32306924
http://dx.doi.org/10.1186/s12885-020-06843-z
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