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A comprehensive model to predict severe acute graft-versus-host disease in acute leukemia patients after haploidentical hematopoietic stem cell transplantation

BACKGROUND: Acute graft-versus-host disease (aGVHD) remains the major cause of early mortality after haploidentical related donor (HID) hematopoietic stem cell transplantation (HSCT). We aimed to establish a comprehensive model which could predict severe aGVHD after HID HSCT. METHODS: Consecutive 47...

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Autores principales: Shen, Meng-Zhu, Hong, Shen-Da, Lou, Rui, Chen, Rui-Ze, Zhang, Xiao-Hui, Xu, Lan-Ping, Wang, Yu, Yan, Chen-Hua, Chen, Huan, Chen, Yu-Hong, Han, Wei, Wang, Feng-Rong, Wang, Jing-Zhi, Liu, Kai-Yan, Huang, Xiao-Jun, Mo, Xiao-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067003/
https://www.ncbi.nlm.nih.gov/pubmed/35505384
http://dx.doi.org/10.1186/s40164-022-00278-x
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author Shen, Meng-Zhu
Hong, Shen-Da
Lou, Rui
Chen, Rui-Ze
Zhang, Xiao-Hui
Xu, Lan-Ping
Wang, Yu
Yan, Chen-Hua
Chen, Huan
Chen, Yu-Hong
Han, Wei
Wang, Feng-Rong
Wang, Jing-Zhi
Liu, Kai-Yan
Huang, Xiao-Jun
Mo, Xiao-Dong
author_facet Shen, Meng-Zhu
Hong, Shen-Da
Lou, Rui
Chen, Rui-Ze
Zhang, Xiao-Hui
Xu, Lan-Ping
Wang, Yu
Yan, Chen-Hua
Chen, Huan
Chen, Yu-Hong
Han, Wei
Wang, Feng-Rong
Wang, Jing-Zhi
Liu, Kai-Yan
Huang, Xiao-Jun
Mo, Xiao-Dong
author_sort Shen, Meng-Zhu
collection PubMed
description BACKGROUND: Acute graft-versus-host disease (aGVHD) remains the major cause of early mortality after haploidentical related donor (HID) hematopoietic stem cell transplantation (HSCT). We aimed to establish a comprehensive model which could predict severe aGVHD after HID HSCT. METHODS: Consecutive 470 acute leukemia patients receiving HID HSCT according to the protocol registered at https://clinicaltrials.gov (NCT03756675) were enrolled, 70% of them (n = 335) were randomly selected as training cohort and the remains 30% (n = 135) were used as validation cohort. RESULTS: The equation was as follows: Probability (grade III–IV aGVHD) = [Formula: see text] , where Y = –0.0288 × (age) + 0.7965 × (gender) + 0.8371 × (CD3 + /CD14 + cells ratio in graft) + 0.5829 × (donor/recipient relation) − 0.0089 × (CD8 + cell counts in graft) − 2.9046. The threshold of probability was 0.057392 which helped separate patients into high- and low-risk groups. The 100-day cumulative incidence of grade III–IV aGVHD in the low- and high-risk groups was 4.1% (95% CI 1.9–6.3%) versus 12.8% (95% CI 7.4–18.2%) (P = 0.001), 3.2% (95% CI 1.2–5.1%) versus 10.6% (95% CI 4.7–16.5%) (P = 0.006), and 6.1% (95% CI 1.3–10.9%) versus 19.4% (95% CI 6.3–32.5%) (P = 0.017), respectively, in total, training, and validation cohort. The rates of grade III–IV skin and gut aGVHD in high-risk group were both significantly higher than those of low-risk group. This model could also predict grade II–IV and grade I–IV aGVHD. CONCLUSIONS: We established a model which could predict the development of severe aGVHD in HID HSCT recipients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40164-022-00278-x.
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spelling pubmed-90670032022-05-04 A comprehensive model to predict severe acute graft-versus-host disease in acute leukemia patients after haploidentical hematopoietic stem cell transplantation Shen, Meng-Zhu Hong, Shen-Da Lou, Rui Chen, Rui-Ze Zhang, Xiao-Hui Xu, Lan-Ping Wang, Yu Yan, Chen-Hua Chen, Huan Chen, Yu-Hong Han, Wei Wang, Feng-Rong Wang, Jing-Zhi Liu, Kai-Yan Huang, Xiao-Jun Mo, Xiao-Dong Exp Hematol Oncol Research BACKGROUND: Acute graft-versus-host disease (aGVHD) remains the major cause of early mortality after haploidentical related donor (HID) hematopoietic stem cell transplantation (HSCT). We aimed to establish a comprehensive model which could predict severe aGVHD after HID HSCT. METHODS: Consecutive 470 acute leukemia patients receiving HID HSCT according to the protocol registered at https://clinicaltrials.gov (NCT03756675) were enrolled, 70% of them (n = 335) were randomly selected as training cohort and the remains 30% (n = 135) were used as validation cohort. RESULTS: The equation was as follows: Probability (grade III–IV aGVHD) = [Formula: see text] , where Y = –0.0288 × (age) + 0.7965 × (gender) + 0.8371 × (CD3 + /CD14 + cells ratio in graft) + 0.5829 × (donor/recipient relation) − 0.0089 × (CD8 + cell counts in graft) − 2.9046. The threshold of probability was 0.057392 which helped separate patients into high- and low-risk groups. The 100-day cumulative incidence of grade III–IV aGVHD in the low- and high-risk groups was 4.1% (95% CI 1.9–6.3%) versus 12.8% (95% CI 7.4–18.2%) (P = 0.001), 3.2% (95% CI 1.2–5.1%) versus 10.6% (95% CI 4.7–16.5%) (P = 0.006), and 6.1% (95% CI 1.3–10.9%) versus 19.4% (95% CI 6.3–32.5%) (P = 0.017), respectively, in total, training, and validation cohort. The rates of grade III–IV skin and gut aGVHD in high-risk group were both significantly higher than those of low-risk group. This model could also predict grade II–IV and grade I–IV aGVHD. CONCLUSIONS: We established a model which could predict the development of severe aGVHD in HID HSCT recipients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40164-022-00278-x. BioMed Central 2022-05-03 /pmc/articles/PMC9067003/ /pubmed/35505384 http://dx.doi.org/10.1186/s40164-022-00278-x Text en © The Author(s) 2022 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
Shen, Meng-Zhu
Hong, Shen-Da
Lou, Rui
Chen, Rui-Ze
Zhang, Xiao-Hui
Xu, Lan-Ping
Wang, Yu
Yan, Chen-Hua
Chen, Huan
Chen, Yu-Hong
Han, Wei
Wang, Feng-Rong
Wang, Jing-Zhi
Liu, Kai-Yan
Huang, Xiao-Jun
Mo, Xiao-Dong
A comprehensive model to predict severe acute graft-versus-host disease in acute leukemia patients after haploidentical hematopoietic stem cell transplantation
title A comprehensive model to predict severe acute graft-versus-host disease in acute leukemia patients after haploidentical hematopoietic stem cell transplantation
title_full A comprehensive model to predict severe acute graft-versus-host disease in acute leukemia patients after haploidentical hematopoietic stem cell transplantation
title_fullStr A comprehensive model to predict severe acute graft-versus-host disease in acute leukemia patients after haploidentical hematopoietic stem cell transplantation
title_full_unstemmed A comprehensive model to predict severe acute graft-versus-host disease in acute leukemia patients after haploidentical hematopoietic stem cell transplantation
title_short A comprehensive model to predict severe acute graft-versus-host disease in acute leukemia patients after haploidentical hematopoietic stem cell transplantation
title_sort comprehensive model to predict severe acute graft-versus-host disease in acute leukemia patients after haploidentical hematopoietic stem cell transplantation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067003/
https://www.ncbi.nlm.nih.gov/pubmed/35505384
http://dx.doi.org/10.1186/s40164-022-00278-x
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