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Predictors of intensive care unit admission in patients with hematologic malignancy

Limited data exist on predictors of intensive care unit (ICU) admission in patients with hematologic malignancy. The objective of this study was to identify predictors of ICU admission in hospitalized patients with hematologic malignancies. A retrospective cohort study was conducted on 820 consecuti...

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Autores principales: Vijenthira, Abi, Chiu, Nicholas, Jacobson, Daniel, Freedman, Zoey, Cheung, Matthew C., Goddard, Shannon, Fowler, Robert, Buckstein, Rena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713054/
https://www.ncbi.nlm.nih.gov/pubmed/33273653
http://dx.doi.org/10.1038/s41598-020-78114-7
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author Vijenthira, Abi
Chiu, Nicholas
Jacobson, Daniel
Freedman, Zoey
Cheung, Matthew C.
Goddard, Shannon
Fowler, Robert
Buckstein, Rena
author_facet Vijenthira, Abi
Chiu, Nicholas
Jacobson, Daniel
Freedman, Zoey
Cheung, Matthew C.
Goddard, Shannon
Fowler, Robert
Buckstein, Rena
author_sort Vijenthira, Abi
collection PubMed
description Limited data exist on predictors of intensive care unit (ICU) admission in patients with hematologic malignancy. The objective of this study was to identify predictors of ICU admission in hospitalized patients with hematologic malignancies. A retrospective cohort study was conducted on 820 consecutive admissions of patients with a malignant hematology diagnosis at our institution between March 2009 and December 2015. Backward stepwise selection procedure was conducted for multivariable logistic regression analyses. 820 patients were included, of whom 179 (22%) were admitted to the ICU. Types of hematologic cancers included 71% (N = 578) lymphoid cancer, 18% (N = 151) myeloid cancer, and 10% (N = 80) plasma cell neoplasms. 14% (N = 111) of patients had acute leukemia. Six predictors of admission to ICU were found in multivariable analysis, including disease-related (acute leukemia, curative intent chemotherapy), laboratory-related (platelet count < 50 × 109/L, albumin below normal, LDH above normal at time of admission), and physician-related factors (having advanced directives discussion) (p < 0.0001). A significant proportion of patients with hematologic malignancies admitted to hospital are admitted to ICU. Utilizing the identified predictors of ICU admission may help guide timely informed goals of care discussions with patients before clinical deterioration occurs.
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spelling pubmed-77130542020-12-03 Predictors of intensive care unit admission in patients with hematologic malignancy Vijenthira, Abi Chiu, Nicholas Jacobson, Daniel Freedman, Zoey Cheung, Matthew C. Goddard, Shannon Fowler, Robert Buckstein, Rena Sci Rep Article Limited data exist on predictors of intensive care unit (ICU) admission in patients with hematologic malignancy. The objective of this study was to identify predictors of ICU admission in hospitalized patients with hematologic malignancies. A retrospective cohort study was conducted on 820 consecutive admissions of patients with a malignant hematology diagnosis at our institution between March 2009 and December 2015. Backward stepwise selection procedure was conducted for multivariable logistic regression analyses. 820 patients were included, of whom 179 (22%) were admitted to the ICU. Types of hematologic cancers included 71% (N = 578) lymphoid cancer, 18% (N = 151) myeloid cancer, and 10% (N = 80) plasma cell neoplasms. 14% (N = 111) of patients had acute leukemia. Six predictors of admission to ICU were found in multivariable analysis, including disease-related (acute leukemia, curative intent chemotherapy), laboratory-related (platelet count < 50 × 109/L, albumin below normal, LDH above normal at time of admission), and physician-related factors (having advanced directives discussion) (p < 0.0001). A significant proportion of patients with hematologic malignancies admitted to hospital are admitted to ICU. Utilizing the identified predictors of ICU admission may help guide timely informed goals of care discussions with patients before clinical deterioration occurs. Nature Publishing Group UK 2020-12-03 /pmc/articles/PMC7713054/ /pubmed/33273653 http://dx.doi.org/10.1038/s41598-020-78114-7 Text en © The Author(s) 2020 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/.
spellingShingle Article
Vijenthira, Abi
Chiu, Nicholas
Jacobson, Daniel
Freedman, Zoey
Cheung, Matthew C.
Goddard, Shannon
Fowler, Robert
Buckstein, Rena
Predictors of intensive care unit admission in patients with hematologic malignancy
title Predictors of intensive care unit admission in patients with hematologic malignancy
title_full Predictors of intensive care unit admission in patients with hematologic malignancy
title_fullStr Predictors of intensive care unit admission in patients with hematologic malignancy
title_full_unstemmed Predictors of intensive care unit admission in patients with hematologic malignancy
title_short Predictors of intensive care unit admission in patients with hematologic malignancy
title_sort predictors of intensive care unit admission in patients with hematologic malignancy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713054/
https://www.ncbi.nlm.nih.gov/pubmed/33273653
http://dx.doi.org/10.1038/s41598-020-78114-7
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