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Early death after palliative radiation treatment: 30-, 35- and 40-day mortality data and statistically robust predictors

BACKGROUND: This study analyzed mortality after radiotherapy for bone metastases (287 courses). Endpoints such as treatment in the last month of life and death within 30, 35 and 40 days from start of radiotherapy were evaluated. METHODS: Different baseline parameters including but not limited to blo...

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Autores principales: Nieder, Carsten, Stanisavljevic, Luka, Mannsåker, Bård, Haukland, Ellinor C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069056/
https://www.ncbi.nlm.nih.gov/pubmed/37013643
http://dx.doi.org/10.1186/s13014-023-02253-0
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author Nieder, Carsten
Stanisavljevic, Luka
Mannsåker, Bård
Haukland, Ellinor C.
author_facet Nieder, Carsten
Stanisavljevic, Luka
Mannsåker, Bård
Haukland, Ellinor C.
author_sort Nieder, Carsten
collection PubMed
description BACKGROUND: This study analyzed mortality after radiotherapy for bone metastases (287 courses). Endpoints such as treatment in the last month of life and death within 30, 35 and 40 days from start of radiotherapy were evaluated. METHODS: Different baseline parameters including but not limited to blood test results and patterns of metastases were assessed for association with early death. After univariate analyses, multi-nominal logistic regression was employed. RESULTS: Of 287 treatment courses, 42 (15%) took place in the last month of life. Mortality from start of radiotherapy was 13% (30-day), 15% (35-day) and 18% (40-day), respectively. We identified three significant predictors of 30-day mortality (performance status (≤ 50, 60–70, 80–100), weight loss of at least 10% within 6 months (yes/no), pleural effusion (present/absent)) and employed these to construct a predictive model with 5 strata and mortality rates of 0–75%. All predictors of 30-day mortality were also associated with both, 35- and 40-day mortality. CONCLUSION: Early death was not limited to the first 30 days after start of radiotherapy. For different cut-off points, similar predictive factors emerged. A model based on three robust predictors was developed.
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spelling pubmed-100690562023-04-04 Early death after palliative radiation treatment: 30-, 35- and 40-day mortality data and statistically robust predictors Nieder, Carsten Stanisavljevic, Luka Mannsåker, Bård Haukland, Ellinor C. Radiat Oncol Research BACKGROUND: This study analyzed mortality after radiotherapy for bone metastases (287 courses). Endpoints such as treatment in the last month of life and death within 30, 35 and 40 days from start of radiotherapy were evaluated. METHODS: Different baseline parameters including but not limited to blood test results and patterns of metastases were assessed for association with early death. After univariate analyses, multi-nominal logistic regression was employed. RESULTS: Of 287 treatment courses, 42 (15%) took place in the last month of life. Mortality from start of radiotherapy was 13% (30-day), 15% (35-day) and 18% (40-day), respectively. We identified three significant predictors of 30-day mortality (performance status (≤ 50, 60–70, 80–100), weight loss of at least 10% within 6 months (yes/no), pleural effusion (present/absent)) and employed these to construct a predictive model with 5 strata and mortality rates of 0–75%. All predictors of 30-day mortality were also associated with both, 35- and 40-day mortality. CONCLUSION: Early death was not limited to the first 30 days after start of radiotherapy. For different cut-off points, similar predictive factors emerged. A model based on three robust predictors was developed. BioMed Central 2023-04-03 /pmc/articles/PMC10069056/ /pubmed/37013643 http://dx.doi.org/10.1186/s13014-023-02253-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Nieder, Carsten
Stanisavljevic, Luka
Mannsåker, Bård
Haukland, Ellinor C.
Early death after palliative radiation treatment: 30-, 35- and 40-day mortality data and statistically robust predictors
title Early death after palliative radiation treatment: 30-, 35- and 40-day mortality data and statistically robust predictors
title_full Early death after palliative radiation treatment: 30-, 35- and 40-day mortality data and statistically robust predictors
title_fullStr Early death after palliative radiation treatment: 30-, 35- and 40-day mortality data and statistically robust predictors
title_full_unstemmed Early death after palliative radiation treatment: 30-, 35- and 40-day mortality data and statistically robust predictors
title_short Early death after palliative radiation treatment: 30-, 35- and 40-day mortality data and statistically robust predictors
title_sort early death after palliative radiation treatment: 30-, 35- and 40-day mortality data and statistically robust predictors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069056/
https://www.ncbi.nlm.nih.gov/pubmed/37013643
http://dx.doi.org/10.1186/s13014-023-02253-0
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