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Predictive Risk Score for Acute Kidney Injury in Hematopoietic Stem Cell Transplant

SIMPLE SUMMARY: The incidence and prevalence of hematologic malignancies are increasing throughout the world and hematopoietic stem cell transplant contributes to significantly better outcomes. Acute kidney injury is a frequent complication of hematopoietic stem cell transplants and has known implic...

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Autores principales: Rodrigues, Natacha, Fragão-Marques, Mariana, Costa, Cláudia, Branco, Carolina, Marques, Filipe, Vasconcelos, Pedro, Martins, Carlos, Leite-Moreira, Adelino, Lopes, José António
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377961/
https://www.ncbi.nlm.nih.gov/pubmed/37509381
http://dx.doi.org/10.3390/cancers15143720
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author Rodrigues, Natacha
Fragão-Marques, Mariana
Costa, Cláudia
Branco, Carolina
Marques, Filipe
Vasconcelos, Pedro
Martins, Carlos
Leite-Moreira, Adelino
Lopes, José António
author_facet Rodrigues, Natacha
Fragão-Marques, Mariana
Costa, Cláudia
Branco, Carolina
Marques, Filipe
Vasconcelos, Pedro
Martins, Carlos
Leite-Moreira, Adelino
Lopes, José António
author_sort Rodrigues, Natacha
collection PubMed
description SIMPLE SUMMARY: The incidence and prevalence of hematologic malignancies are increasing throughout the world and hematopoietic stem cell transplant contributes to significantly better outcomes. Acute kidney injury is a frequent complication of hematopoietic stem cell transplants and has known implications for overall survival. We calculated the first simple, easily assessed, inexpensive predictive risk score that helps identify patients with hematologic malignancies undergoing a hematopoietic stem cell transplant at risk for AKI. ABSTRACT: Hematopoietic stem cell transplant (HSCT) is an important treatment option for hematologic malignancies. Acute kidney injury (AKI) is a common complication in HSCTs and is related to worse outcomes. We aimed to create a predictive risk score for AKI in HSCT considering variables available at the time of the transplant. We performed a retrospective cohort study. AKI was defined by the KDIGO classification using creatinine and urinary output criteria. We used survival analysis with competing events. Continuous variables were dichotomized according to the Liu index. A multivariable analysis was performed with a backward stepwise regression. Harrel’s C-Statistic was used to evaluate the performance of the model. Points were attributed considering the nearest integer of two times each covariate’s hazard ratio. The Liu index was used to establish the optimal cut-off. We included 422 patients undergoing autologous (61.1%) or allogeneic (38.9%) HSCTs for multiple myeloma (33.9%), lymphoma (27.3%), and leukemia (38.8%). AKI cumulative incidence was 59.1%. Variables eligible for the final score were: hematopoietic cell transplant comorbidity index ≥2 (HR: 1.47, 95% CI: 1.08–2.006; p = 0.013), chronic kidney disease (HR: 2.10, 95% CI: 1.31–3.36; p = 0.002), lymphoma or leukemia (HR: 1.69, 95% CI: 1.26–2.25; p < 0.001) and platelet-to-lymphocyte ratio > 171.9 (HR: 1.43, 95% CI: 1.10–1.86; p = 0.008). This is the first predictive risk score for AKI in patients undergoing HSCTs and the first study where the platelet-to-lymphocyte ratio is independently associated with AKI.
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spelling pubmed-103779612023-07-29 Predictive Risk Score for Acute Kidney Injury in Hematopoietic Stem Cell Transplant Rodrigues, Natacha Fragão-Marques, Mariana Costa, Cláudia Branco, Carolina Marques, Filipe Vasconcelos, Pedro Martins, Carlos Leite-Moreira, Adelino Lopes, José António Cancers (Basel) Article SIMPLE SUMMARY: The incidence and prevalence of hematologic malignancies are increasing throughout the world and hematopoietic stem cell transplant contributes to significantly better outcomes. Acute kidney injury is a frequent complication of hematopoietic stem cell transplants and has known implications for overall survival. We calculated the first simple, easily assessed, inexpensive predictive risk score that helps identify patients with hematologic malignancies undergoing a hematopoietic stem cell transplant at risk for AKI. ABSTRACT: Hematopoietic stem cell transplant (HSCT) is an important treatment option for hematologic malignancies. Acute kidney injury (AKI) is a common complication in HSCTs and is related to worse outcomes. We aimed to create a predictive risk score for AKI in HSCT considering variables available at the time of the transplant. We performed a retrospective cohort study. AKI was defined by the KDIGO classification using creatinine and urinary output criteria. We used survival analysis with competing events. Continuous variables were dichotomized according to the Liu index. A multivariable analysis was performed with a backward stepwise regression. Harrel’s C-Statistic was used to evaluate the performance of the model. Points were attributed considering the nearest integer of two times each covariate’s hazard ratio. The Liu index was used to establish the optimal cut-off. We included 422 patients undergoing autologous (61.1%) or allogeneic (38.9%) HSCTs for multiple myeloma (33.9%), lymphoma (27.3%), and leukemia (38.8%). AKI cumulative incidence was 59.1%. Variables eligible for the final score were: hematopoietic cell transplant comorbidity index ≥2 (HR: 1.47, 95% CI: 1.08–2.006; p = 0.013), chronic kidney disease (HR: 2.10, 95% CI: 1.31–3.36; p = 0.002), lymphoma or leukemia (HR: 1.69, 95% CI: 1.26–2.25; p < 0.001) and platelet-to-lymphocyte ratio > 171.9 (HR: 1.43, 95% CI: 1.10–1.86; p = 0.008). This is the first predictive risk score for AKI in patients undergoing HSCTs and the first study where the platelet-to-lymphocyte ratio is independently associated with AKI. MDPI 2023-07-22 /pmc/articles/PMC10377961/ /pubmed/37509381 http://dx.doi.org/10.3390/cancers15143720 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rodrigues, Natacha
Fragão-Marques, Mariana
Costa, Cláudia
Branco, Carolina
Marques, Filipe
Vasconcelos, Pedro
Martins, Carlos
Leite-Moreira, Adelino
Lopes, José António
Predictive Risk Score for Acute Kidney Injury in Hematopoietic Stem Cell Transplant
title Predictive Risk Score for Acute Kidney Injury in Hematopoietic Stem Cell Transplant
title_full Predictive Risk Score for Acute Kidney Injury in Hematopoietic Stem Cell Transplant
title_fullStr Predictive Risk Score for Acute Kidney Injury in Hematopoietic Stem Cell Transplant
title_full_unstemmed Predictive Risk Score for Acute Kidney Injury in Hematopoietic Stem Cell Transplant
title_short Predictive Risk Score for Acute Kidney Injury in Hematopoietic Stem Cell Transplant
title_sort predictive risk score for acute kidney injury in hematopoietic stem cell transplant
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377961/
https://www.ncbi.nlm.nih.gov/pubmed/37509381
http://dx.doi.org/10.3390/cancers15143720
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