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Value of Different Comorbidity Indices for Predicting Outcome in Patients with Acute Myeloid Leukemia

Age is a dominant predictor of outcome in acute myeloid leukemia (AML). However, it is not clear to which extent comorbidities contribute to this effect. The objective of this study was to determine the impact of pretreatment comorbidities on survival of AML patients. In a single-center retrospectiv...

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Autores principales: Wass, Maxi, Hitz, Friederike, Schaffrath, Judith, Müller-Tidow, Carsten, Müller, Lutz P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061362/
https://www.ncbi.nlm.nih.gov/pubmed/27732646
http://dx.doi.org/10.1371/journal.pone.0164587
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author Wass, Maxi
Hitz, Friederike
Schaffrath, Judith
Müller-Tidow, Carsten
Müller, Lutz P.
author_facet Wass, Maxi
Hitz, Friederike
Schaffrath, Judith
Müller-Tidow, Carsten
Müller, Lutz P.
author_sort Wass, Maxi
collection PubMed
description Age is a dominant predictor of outcome in acute myeloid leukemia (AML). However, it is not clear to which extent comorbidities contribute to this effect. The objective of this study was to determine the impact of pretreatment comorbidities on survival of AML patients. In a single-center retrospective study 194 adult AML patients were included. The Hematopoietic cell transplantation comorbidity index (HCT-CI), the Adult Comorbidity Evaluation-27 (ACE-27) score and the Cumulative Illness Rating Scale for Geriatrics (CIRS-G) as well as data on demographics, cytogenetics, treatment and outcome were evaluated at the time of initial diagnosis by univariate and multivariate analysis. The study included 102 male and 92 female (median age 60.9 years) of which 173 (89.2%) received intensive chemotherapy. Median overall survival (OS) was 17 months. In univariate analysis, cardiovascular disease (26 vs 12 months, p = .005), severe hepatic disease (19 vs 4 months, p = .013) and renal impairment (17 vs 7 months, p = .016) was associated with inferior OS. For each index, the highest comorbidity burden was associated with reduced OS. However, in multivariate analysis only the ACE-27 score was associated with outcome. Besides ECOG ≥ 2 and poor cytogenetics only the ACE-27 score but not higher age was associated with OS in the group of patients receiving intensive therapy. Adjusted hazard ratios were 3.1, 3.5 and 4.0 for mild, moderate and severe ACE-27-assessed comorbidities, respectively (p = .012). Our study confirms that comorbidities significantly impact survival of AML patients and a pretreatment assessment of comorbidities may help to identify patients with poor outcome.
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spelling pubmed-50613622016-10-27 Value of Different Comorbidity Indices for Predicting Outcome in Patients with Acute Myeloid Leukemia Wass, Maxi Hitz, Friederike Schaffrath, Judith Müller-Tidow, Carsten Müller, Lutz P. PLoS One Research Article Age is a dominant predictor of outcome in acute myeloid leukemia (AML). However, it is not clear to which extent comorbidities contribute to this effect. The objective of this study was to determine the impact of pretreatment comorbidities on survival of AML patients. In a single-center retrospective study 194 adult AML patients were included. The Hematopoietic cell transplantation comorbidity index (HCT-CI), the Adult Comorbidity Evaluation-27 (ACE-27) score and the Cumulative Illness Rating Scale for Geriatrics (CIRS-G) as well as data on demographics, cytogenetics, treatment and outcome were evaluated at the time of initial diagnosis by univariate and multivariate analysis. The study included 102 male and 92 female (median age 60.9 years) of which 173 (89.2%) received intensive chemotherapy. Median overall survival (OS) was 17 months. In univariate analysis, cardiovascular disease (26 vs 12 months, p = .005), severe hepatic disease (19 vs 4 months, p = .013) and renal impairment (17 vs 7 months, p = .016) was associated with inferior OS. For each index, the highest comorbidity burden was associated with reduced OS. However, in multivariate analysis only the ACE-27 score was associated with outcome. Besides ECOG ≥ 2 and poor cytogenetics only the ACE-27 score but not higher age was associated with OS in the group of patients receiving intensive therapy. Adjusted hazard ratios were 3.1, 3.5 and 4.0 for mild, moderate and severe ACE-27-assessed comorbidities, respectively (p = .012). Our study confirms that comorbidities significantly impact survival of AML patients and a pretreatment assessment of comorbidities may help to identify patients with poor outcome. Public Library of Science 2016-10-12 /pmc/articles/PMC5061362/ /pubmed/27732646 http://dx.doi.org/10.1371/journal.pone.0164587 Text en © 2016 Wass et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wass, Maxi
Hitz, Friederike
Schaffrath, Judith
Müller-Tidow, Carsten
Müller, Lutz P.
Value of Different Comorbidity Indices for Predicting Outcome in Patients with Acute Myeloid Leukemia
title Value of Different Comorbidity Indices for Predicting Outcome in Patients with Acute Myeloid Leukemia
title_full Value of Different Comorbidity Indices for Predicting Outcome in Patients with Acute Myeloid Leukemia
title_fullStr Value of Different Comorbidity Indices for Predicting Outcome in Patients with Acute Myeloid Leukemia
title_full_unstemmed Value of Different Comorbidity Indices for Predicting Outcome in Patients with Acute Myeloid Leukemia
title_short Value of Different Comorbidity Indices for Predicting Outcome in Patients with Acute Myeloid Leukemia
title_sort value of different comorbidity indices for predicting outcome in patients with acute myeloid leukemia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061362/
https://www.ncbi.nlm.nih.gov/pubmed/27732646
http://dx.doi.org/10.1371/journal.pone.0164587
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