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A predictive model combining clinical characteristics and nutritional risk factors for overall survival after umbilical cord blood transplantation
BACKGROUND: Umbilical cord blood transplantation (UCBT) is a curable therapy for hematological disease; however, the impact of nutritional status on UCBT outcomes remains controversial. To evaluate the joint effect of clinical characteristics and nutritional status on the prognosis of patients who u...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594692/ https://www.ncbi.nlm.nih.gov/pubmed/37872622 http://dx.doi.org/10.1186/s13287-023-03538-7 |
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author | Tu, Meijuan Huang, Aijie Ning, Lijuan Tang, Baolin Zhang, Chunli Sun, Guangyu Wan, Xiang Song, Kaidi Yao, Wen Qiang, Ping Wu, Yue Zhu, Xiaoyu |
author_facet | Tu, Meijuan Huang, Aijie Ning, Lijuan Tang, Baolin Zhang, Chunli Sun, Guangyu Wan, Xiang Song, Kaidi Yao, Wen Qiang, Ping Wu, Yue Zhu, Xiaoyu |
author_sort | Tu, Meijuan |
collection | PubMed |
description | BACKGROUND: Umbilical cord blood transplantation (UCBT) is a curable therapy for hematological disease; however, the impact of nutritional status on UCBT outcomes remains controversial. To evaluate the joint effect of clinical characteristics and nutritional status on the prognosis of patients who underwent UCBT, we screened various factors to establish a predictive model of overall survival (OS) after UCBT. METHODS: We performed an integrated clinical characteristic and nutritional risk factor analysis and established a predictive model that could be used to identify UCBT recipients with poor OS. Internal validation was performed by using the bootstrap method with 500 repetitions. RESULTS: Four factors, including disease status, conditioning regimen, calf skinfold thickness and albumin level, were identified and used to develop a risk score for OS, which showed a positive predictive value of 84.0%. A high-risk score (≥ 2.225) was associated with inferior 3-year OS post-UCBT [67.5% (95% CI 51.1–79.4%), P = 0.001]. Then, we built a nomogram based on the four factors that showed good discrimination with a C-index of 0.833 (95% CI 0.743–0.922). The optimism-corrected C-index value of the bootstrapping was 0.804. Multivariate analysis suggested that a high calf skinfold thickness (≥ 20.5 mm) and a low albumin level (< 33.6 g/L) conferred poor disease-free survival (DFS). CONCLUSION: The predictive model combining clinical and nutritional factors could be used to predict OS in UCBT recipients, thereby promoting preemptive treatment. |
format | Online Article Text |
id | pubmed-10594692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105946922023-10-25 A predictive model combining clinical characteristics and nutritional risk factors for overall survival after umbilical cord blood transplantation Tu, Meijuan Huang, Aijie Ning, Lijuan Tang, Baolin Zhang, Chunli Sun, Guangyu Wan, Xiang Song, Kaidi Yao, Wen Qiang, Ping Wu, Yue Zhu, Xiaoyu Stem Cell Res Ther Research BACKGROUND: Umbilical cord blood transplantation (UCBT) is a curable therapy for hematological disease; however, the impact of nutritional status on UCBT outcomes remains controversial. To evaluate the joint effect of clinical characteristics and nutritional status on the prognosis of patients who underwent UCBT, we screened various factors to establish a predictive model of overall survival (OS) after UCBT. METHODS: We performed an integrated clinical characteristic and nutritional risk factor analysis and established a predictive model that could be used to identify UCBT recipients with poor OS. Internal validation was performed by using the bootstrap method with 500 repetitions. RESULTS: Four factors, including disease status, conditioning regimen, calf skinfold thickness and albumin level, were identified and used to develop a risk score for OS, which showed a positive predictive value of 84.0%. A high-risk score (≥ 2.225) was associated with inferior 3-year OS post-UCBT [67.5% (95% CI 51.1–79.4%), P = 0.001]. Then, we built a nomogram based on the four factors that showed good discrimination with a C-index of 0.833 (95% CI 0.743–0.922). The optimism-corrected C-index value of the bootstrapping was 0.804. Multivariate analysis suggested that a high calf skinfold thickness (≥ 20.5 mm) and a low albumin level (< 33.6 g/L) conferred poor disease-free survival (DFS). CONCLUSION: The predictive model combining clinical and nutritional factors could be used to predict OS in UCBT recipients, thereby promoting preemptive treatment. BioMed Central 2023-10-23 /pmc/articles/PMC10594692/ /pubmed/37872622 http://dx.doi.org/10.1186/s13287-023-03538-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Tu, Meijuan Huang, Aijie Ning, Lijuan Tang, Baolin Zhang, Chunli Sun, Guangyu Wan, Xiang Song, Kaidi Yao, Wen Qiang, Ping Wu, Yue Zhu, Xiaoyu A predictive model combining clinical characteristics and nutritional risk factors for overall survival after umbilical cord blood transplantation |
title | A predictive model combining clinical characteristics and nutritional risk factors for overall survival after umbilical cord blood transplantation |
title_full | A predictive model combining clinical characteristics and nutritional risk factors for overall survival after umbilical cord blood transplantation |
title_fullStr | A predictive model combining clinical characteristics and nutritional risk factors for overall survival after umbilical cord blood transplantation |
title_full_unstemmed | A predictive model combining clinical characteristics and nutritional risk factors for overall survival after umbilical cord blood transplantation |
title_short | A predictive model combining clinical characteristics and nutritional risk factors for overall survival after umbilical cord blood transplantation |
title_sort | predictive model combining clinical characteristics and nutritional risk factors for overall survival after umbilical cord blood transplantation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594692/ https://www.ncbi.nlm.nih.gov/pubmed/37872622 http://dx.doi.org/10.1186/s13287-023-03538-7 |
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