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Predicting acute radiation dermatitis in breast cancer: a prospective cohort study
BACKGROUND: Acute radiation dermatitis (ARD) is one of the most common acute adverse reactions in breast cancer patients during and immediately after radiotherapy. As ARD affects patient quality of life, it is important to conduct individualized risk assessments of patients in order to identify thos...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262502/ https://www.ncbi.nlm.nih.gov/pubmed/37308936 http://dx.doi.org/10.1186/s12885-023-10821-6 |
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author | Xie, Yuxiu Hu, Ting Chen, Renwang Chang, Haiyan Wang, Qiong Cheng, Jing |
author_facet | Xie, Yuxiu Hu, Ting Chen, Renwang Chang, Haiyan Wang, Qiong Cheng, Jing |
author_sort | Xie, Yuxiu |
collection | PubMed |
description | BACKGROUND: Acute radiation dermatitis (ARD) is one of the most common acute adverse reactions in breast cancer patients during and immediately after radiotherapy. As ARD affects patient quality of life, it is important to conduct individualized risk assessments of patients in order to identify those patients most at risk of developing severe ARD. METHODS: The data of breast cancer patients who received radiotherapy were prospectively collected and analyzed. Serum ferritin, high-sensitivity C-reactive protein (hs-CRP) levels, and percentages of lymphocyte subsets were measured before radiotherapy. ARD was graded (0–6 grade), according to the Oncology Nursing Society Skin Toxicity Scale. Univariate and multivariate logistic regression analyses were used and the odds ratio (OR) and 95% confidence interval (CI) of each factor were calculated. RESULTS: This study included 455 breast cancer patients. After radiotherapy, 59.6% and 17.8% of patients developed at least 3 (3+) grade and at least 4 (4+) grade ARD, respectively. Multivariate logistic regression analysis found that body mass index (OR: 1.11, 95% CI: 1.01–1.22), diabetes (OR: 2.70, 95% CI: 1.11–6.60), smoking (OR: 3.04, 95% CI: 1.15–8.02), higher ferritin (OR: 3.31, 95% CI: 1.78–6.17), higher hs-CRP (OR: 1.96, 95% CI: 1.02–3.77), and higher CD3 + T cells (OR: 2.99, 95% CI: 1.10–3.58) were independent risk factors for 4 + grade ARD. Based on these findings, a nomogram model of 4 + grade ARD was further established. The nomogram AUC was 0.80 (95% CI: 0.75–0.86), making it more discriminative than any single factor. CONCLUSION: BMI, diabetes, smoking history, higher ferritin, higher hs-CRP, and higher CD3 + T cells prior to radiotherapy for breast cancer are all independent risk factors for 4 + grade ARD. The results can provide evidence for clinicians to screen out high-risk patients, take precautions and carefully follow up on these patients before and during radiotherapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10821-6. |
format | Online Article Text |
id | pubmed-10262502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102625022023-06-15 Predicting acute radiation dermatitis in breast cancer: a prospective cohort study Xie, Yuxiu Hu, Ting Chen, Renwang Chang, Haiyan Wang, Qiong Cheng, Jing BMC Cancer Research BACKGROUND: Acute radiation dermatitis (ARD) is one of the most common acute adverse reactions in breast cancer patients during and immediately after radiotherapy. As ARD affects patient quality of life, it is important to conduct individualized risk assessments of patients in order to identify those patients most at risk of developing severe ARD. METHODS: The data of breast cancer patients who received radiotherapy were prospectively collected and analyzed. Serum ferritin, high-sensitivity C-reactive protein (hs-CRP) levels, and percentages of lymphocyte subsets were measured before radiotherapy. ARD was graded (0–6 grade), according to the Oncology Nursing Society Skin Toxicity Scale. Univariate and multivariate logistic regression analyses were used and the odds ratio (OR) and 95% confidence interval (CI) of each factor were calculated. RESULTS: This study included 455 breast cancer patients. After radiotherapy, 59.6% and 17.8% of patients developed at least 3 (3+) grade and at least 4 (4+) grade ARD, respectively. Multivariate logistic regression analysis found that body mass index (OR: 1.11, 95% CI: 1.01–1.22), diabetes (OR: 2.70, 95% CI: 1.11–6.60), smoking (OR: 3.04, 95% CI: 1.15–8.02), higher ferritin (OR: 3.31, 95% CI: 1.78–6.17), higher hs-CRP (OR: 1.96, 95% CI: 1.02–3.77), and higher CD3 + T cells (OR: 2.99, 95% CI: 1.10–3.58) were independent risk factors for 4 + grade ARD. Based on these findings, a nomogram model of 4 + grade ARD was further established. The nomogram AUC was 0.80 (95% CI: 0.75–0.86), making it more discriminative than any single factor. CONCLUSION: BMI, diabetes, smoking history, higher ferritin, higher hs-CRP, and higher CD3 + T cells prior to radiotherapy for breast cancer are all independent risk factors for 4 + grade ARD. The results can provide evidence for clinicians to screen out high-risk patients, take precautions and carefully follow up on these patients before and during radiotherapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10821-6. BioMed Central 2023-06-12 /pmc/articles/PMC10262502/ /pubmed/37308936 http://dx.doi.org/10.1186/s12885-023-10821-6 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 Xie, Yuxiu Hu, Ting Chen, Renwang Chang, Haiyan Wang, Qiong Cheng, Jing Predicting acute radiation dermatitis in breast cancer: a prospective cohort study |
title | Predicting acute radiation dermatitis in breast cancer: a prospective cohort study |
title_full | Predicting acute radiation dermatitis in breast cancer: a prospective cohort study |
title_fullStr | Predicting acute radiation dermatitis in breast cancer: a prospective cohort study |
title_full_unstemmed | Predicting acute radiation dermatitis in breast cancer: a prospective cohort study |
title_short | Predicting acute radiation dermatitis in breast cancer: a prospective cohort study |
title_sort | predicting acute radiation dermatitis in breast cancer: a prospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262502/ https://www.ncbi.nlm.nih.gov/pubmed/37308936 http://dx.doi.org/10.1186/s12885-023-10821-6 |
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