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Influencing factors of anthracycline-induced subclinical cardiotoxicity in acute leukemia patients

BACKGROUND: Current treatment of acute leukemia is based on anthracycline chemotherapy. Anthracyclines, despite improving patient survival, have serious cardiotoxicity and therefore cardiac monitoring should be a priority. The purpose of this study is to explore the possible early predictors of anth...

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Autores principales: Zhou, Xi, Weng, Yue, Jiang, Tiantian, Ou, Wenxin, Zhang, Nan, Dong, Qian, Tang, Xiaoqiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571315/
https://www.ncbi.nlm.nih.gov/pubmed/37833648
http://dx.doi.org/10.1186/s12885-023-11060-5
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author Zhou, Xi
Weng, Yue
Jiang, Tiantian
Ou, Wenxin
Zhang, Nan
Dong, Qian
Tang, Xiaoqiong
author_facet Zhou, Xi
Weng, Yue
Jiang, Tiantian
Ou, Wenxin
Zhang, Nan
Dong, Qian
Tang, Xiaoqiong
author_sort Zhou, Xi
collection PubMed
description BACKGROUND: Current treatment of acute leukemia is based on anthracycline chemotherapy. Anthracyclines, despite improving patient survival, have serious cardiotoxicity and therefore cardiac monitoring should be a priority. The purpose of this study is to explore the possible early predictors of anthracycline-induced subclinical cardiotoxicity(AISC)in acute leukemia patients. METHODS: We conducted a prospective observational study involving 51 patients with acute leukemia treated with anthracycline. Demographic data, clinical variables, echocardiography variables and biochemical variables were collected at baseline and after 3 cycles of chemotherapy. Patients were divided into the AISC and No-AISC groups according to changes of global longitudinal peak systolic strain. Regression models and receiver operating characteristic curve analysis were used to explore the relationship between the variables and AISC. RESULT: 17 of the patients suffered subclinical cardiotoxicity after 3 cycles of anthracycline treatment. Multiple logistic regression analysis showed a significant association of DBil (OR 0.612, 95% CI 0.409–0.916, p = 0.017), TBil (OR 0.841, 95% CI 0.717–0.986, p = 0.033), PLT (OR 1.012, 95% CI 1.002–1.021, p = 0.016) and Glu (OR 1.873, 95% CI 1.009–3.475, p = 0.047) with the development of AISC. After 3 cycles of chemotherapy, there was a significant difference in PLT between the AISC and NO-AISC groups. Moreover, the dynamic changes in PLT from baseline to after 3 cycles of chemotherapy were each statistically significant in the AISC and NO-AISC groups. The combination of PLT and N-terminal pro–B-type natriuretic peptide (NT-proBNP) had the highest area under curves (AUC) for the diagnosis of AISC than PLT and NT-proBNP alone (AUC = 0.713, 95%CI: 0.56–0.87, P = 0.017). CONCLUSION: Total bilirubin (TBil), direct bilirubin (DBil), platelets (PLT) and blood glucose (Glu) are independent influencing factors for AISC in acute leukemia patients receiving anthracycline therapy. Bilirubin may be a protective factor and PLT may be a contributing factor for AISC. The combination of baseline PLT and baseline NT-proBNP shows satisfactory predictive ability for AISC in acute leukemia cases treated with 3 cycles of chemotherapy.
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spelling pubmed-105713152023-10-14 Influencing factors of anthracycline-induced subclinical cardiotoxicity in acute leukemia patients Zhou, Xi Weng, Yue Jiang, Tiantian Ou, Wenxin Zhang, Nan Dong, Qian Tang, Xiaoqiong BMC Cancer Research BACKGROUND: Current treatment of acute leukemia is based on anthracycline chemotherapy. Anthracyclines, despite improving patient survival, have serious cardiotoxicity and therefore cardiac monitoring should be a priority. The purpose of this study is to explore the possible early predictors of anthracycline-induced subclinical cardiotoxicity(AISC)in acute leukemia patients. METHODS: We conducted a prospective observational study involving 51 patients with acute leukemia treated with anthracycline. Demographic data, clinical variables, echocardiography variables and biochemical variables were collected at baseline and after 3 cycles of chemotherapy. Patients were divided into the AISC and No-AISC groups according to changes of global longitudinal peak systolic strain. Regression models and receiver operating characteristic curve analysis were used to explore the relationship between the variables and AISC. RESULT: 17 of the patients suffered subclinical cardiotoxicity after 3 cycles of anthracycline treatment. Multiple logistic regression analysis showed a significant association of DBil (OR 0.612, 95% CI 0.409–0.916, p = 0.017), TBil (OR 0.841, 95% CI 0.717–0.986, p = 0.033), PLT (OR 1.012, 95% CI 1.002–1.021, p = 0.016) and Glu (OR 1.873, 95% CI 1.009–3.475, p = 0.047) with the development of AISC. After 3 cycles of chemotherapy, there was a significant difference in PLT between the AISC and NO-AISC groups. Moreover, the dynamic changes in PLT from baseline to after 3 cycles of chemotherapy were each statistically significant in the AISC and NO-AISC groups. The combination of PLT and N-terminal pro–B-type natriuretic peptide (NT-proBNP) had the highest area under curves (AUC) for the diagnosis of AISC than PLT and NT-proBNP alone (AUC = 0.713, 95%CI: 0.56–0.87, P = 0.017). CONCLUSION: Total bilirubin (TBil), direct bilirubin (DBil), platelets (PLT) and blood glucose (Glu) are independent influencing factors for AISC in acute leukemia patients receiving anthracycline therapy. Bilirubin may be a protective factor and PLT may be a contributing factor for AISC. The combination of baseline PLT and baseline NT-proBNP shows satisfactory predictive ability for AISC in acute leukemia cases treated with 3 cycles of chemotherapy. BioMed Central 2023-10-13 /pmc/articles/PMC10571315/ /pubmed/37833648 http://dx.doi.org/10.1186/s12885-023-11060-5 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
Zhou, Xi
Weng, Yue
Jiang, Tiantian
Ou, Wenxin
Zhang, Nan
Dong, Qian
Tang, Xiaoqiong
Influencing factors of anthracycline-induced subclinical cardiotoxicity in acute leukemia patients
title Influencing factors of anthracycline-induced subclinical cardiotoxicity in acute leukemia patients
title_full Influencing factors of anthracycline-induced subclinical cardiotoxicity in acute leukemia patients
title_fullStr Influencing factors of anthracycline-induced subclinical cardiotoxicity in acute leukemia patients
title_full_unstemmed Influencing factors of anthracycline-induced subclinical cardiotoxicity in acute leukemia patients
title_short Influencing factors of anthracycline-induced subclinical cardiotoxicity in acute leukemia patients
title_sort influencing factors of anthracycline-induced subclinical cardiotoxicity in acute leukemia patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571315/
https://www.ncbi.nlm.nih.gov/pubmed/37833648
http://dx.doi.org/10.1186/s12885-023-11060-5
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