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Predictors of survival in patients with sarcoma admitted to the intensive care unit

BACKGROUND: Advances in treatment of sarcoma patients has prolonged survival but has led to increased disease- or treatment-related complications resulting in greater number of admissions to the intensive care unit (ICU). Survival and long-term outcome information about such critically ill patients...

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Autores principales: Gupta, Rohan, Heshami, Neda, Jay, Chouhan, Ramesh, Naveen, Song, Juhee, Lei, Xiudong, Rose, Erfe Jean, Carter, Kristen, Araujo, Dejka M., Benjamin, Robert S., Patel, Shreyaskumar, Nates, Joseph L., Ravi, Vinod
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4950117/
https://www.ncbi.nlm.nih.gov/pubmed/27437097
http://dx.doi.org/10.1186/s13569-016-0051-5
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author Gupta, Rohan
Heshami, Neda
Jay, Chouhan
Ramesh, Naveen
Song, Juhee
Lei, Xiudong
Rose, Erfe Jean
Carter, Kristen
Araujo, Dejka M.
Benjamin, Robert S.
Patel, Shreyaskumar
Nates, Joseph L.
Ravi, Vinod
author_facet Gupta, Rohan
Heshami, Neda
Jay, Chouhan
Ramesh, Naveen
Song, Juhee
Lei, Xiudong
Rose, Erfe Jean
Carter, Kristen
Araujo, Dejka M.
Benjamin, Robert S.
Patel, Shreyaskumar
Nates, Joseph L.
Ravi, Vinod
author_sort Gupta, Rohan
collection PubMed
description BACKGROUND: Advances in treatment of sarcoma patients has prolonged survival but has led to increased disease- or treatment-related complications resulting in greater number of admissions to the intensive care unit (ICU). Survival and long-term outcome information about such critically ill patients with sarcoma is unknown. METHODS: The primary objective of the study was to determine the ICU and post-ICU survival rates of critically ill sarcoma patients. Secondary objectives included determining the modifiable and non-modifiable predictors of poor survival. We performed a retrospective chart review of sarcoma patients admitted to the ICU at The University of Texas MD Anderson Cancer Center between January 1, 2005, and December 31, 2012. Main outcome measures were ICU mortality, in-hospital mortality and 1, 2, and 6-month survival rates. Covariates such as histological diagnosis, disease characteristics, chemotherapy use, Charlson comorbidity index, Sequential Organ Failure Assessment (SOFA) scores, and clinical findings leading to ICU admission were analyzed for their effects on survival. RESULTS: We identified 172 admissions over the 8-year study period hat met our inclusion criteria. The study population was 45.9 % males with a median age of 52 years. The most common sarcoma subgroups were high-grade unclassified sarcoma (25 %) and bone tumors (17.4 %). The ICU mortality rate was 23.3 % (95 % confidence interval [CI], 16.9–29.6 %), and an additional 6.4 % of patients died before hospital discharge (95 % CI, 22.9–37.1 %). 6-month OS rates were 41 %. The median SOFA scores on admission were 6 (inter quartile range (IQR), 3.5–9) in ICU survivors and 10 (IQR, 6.5–14) in ICU non-survivors. Increase in SOFA scores ≥6 led to poor outcomes (ICU survival 13.3 %, OS 6.7 %). Charlson comorbidity index (HR 1.139, 95 % CI 1.023–1.268, p = 0.02) and discharge SOFA scores (HR 1.210, 95 % CI 1.141–1.283, p < 0.0001) correlated with overall survival. CONCLUSIONS: Our results suggest that patients that are admitted to the ICU for respiratory failure, cardiac arrest, septic shock, acute renal failure or acidosis and also have a high SOFA score with subsequent worsening in the ICU have poor prognosis. Based on the retrospective data which needs further validation we can recommend that judicious approach should be taken in patients with predictors of poor survival before subjecting them to aggressive treatment.
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spelling pubmed-49501172016-07-20 Predictors of survival in patients with sarcoma admitted to the intensive care unit Gupta, Rohan Heshami, Neda Jay, Chouhan Ramesh, Naveen Song, Juhee Lei, Xiudong Rose, Erfe Jean Carter, Kristen Araujo, Dejka M. Benjamin, Robert S. Patel, Shreyaskumar Nates, Joseph L. Ravi, Vinod Clin Sarcoma Res Research BACKGROUND: Advances in treatment of sarcoma patients has prolonged survival but has led to increased disease- or treatment-related complications resulting in greater number of admissions to the intensive care unit (ICU). Survival and long-term outcome information about such critically ill patients with sarcoma is unknown. METHODS: The primary objective of the study was to determine the ICU and post-ICU survival rates of critically ill sarcoma patients. Secondary objectives included determining the modifiable and non-modifiable predictors of poor survival. We performed a retrospective chart review of sarcoma patients admitted to the ICU at The University of Texas MD Anderson Cancer Center between January 1, 2005, and December 31, 2012. Main outcome measures were ICU mortality, in-hospital mortality and 1, 2, and 6-month survival rates. Covariates such as histological diagnosis, disease characteristics, chemotherapy use, Charlson comorbidity index, Sequential Organ Failure Assessment (SOFA) scores, and clinical findings leading to ICU admission were analyzed for their effects on survival. RESULTS: We identified 172 admissions over the 8-year study period hat met our inclusion criteria. The study population was 45.9 % males with a median age of 52 years. The most common sarcoma subgroups were high-grade unclassified sarcoma (25 %) and bone tumors (17.4 %). The ICU mortality rate was 23.3 % (95 % confidence interval [CI], 16.9–29.6 %), and an additional 6.4 % of patients died before hospital discharge (95 % CI, 22.9–37.1 %). 6-month OS rates were 41 %. The median SOFA scores on admission were 6 (inter quartile range (IQR), 3.5–9) in ICU survivors and 10 (IQR, 6.5–14) in ICU non-survivors. Increase in SOFA scores ≥6 led to poor outcomes (ICU survival 13.3 %, OS 6.7 %). Charlson comorbidity index (HR 1.139, 95 % CI 1.023–1.268, p = 0.02) and discharge SOFA scores (HR 1.210, 95 % CI 1.141–1.283, p < 0.0001) correlated with overall survival. CONCLUSIONS: Our results suggest that patients that are admitted to the ICU for respiratory failure, cardiac arrest, septic shock, acute renal failure or acidosis and also have a high SOFA score with subsequent worsening in the ICU have poor prognosis. Based on the retrospective data which needs further validation we can recommend that judicious approach should be taken in patients with predictors of poor survival before subjecting them to aggressive treatment. BioMed Central 2016-07-19 /pmc/articles/PMC4950117/ /pubmed/27437097 http://dx.doi.org/10.1186/s13569-016-0051-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Gupta, Rohan
Heshami, Neda
Jay, Chouhan
Ramesh, Naveen
Song, Juhee
Lei, Xiudong
Rose, Erfe Jean
Carter, Kristen
Araujo, Dejka M.
Benjamin, Robert S.
Patel, Shreyaskumar
Nates, Joseph L.
Ravi, Vinod
Predictors of survival in patients with sarcoma admitted to the intensive care unit
title Predictors of survival in patients with sarcoma admitted to the intensive care unit
title_full Predictors of survival in patients with sarcoma admitted to the intensive care unit
title_fullStr Predictors of survival in patients with sarcoma admitted to the intensive care unit
title_full_unstemmed Predictors of survival in patients with sarcoma admitted to the intensive care unit
title_short Predictors of survival in patients with sarcoma admitted to the intensive care unit
title_sort predictors of survival in patients with sarcoma admitted to the intensive care unit
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4950117/
https://www.ncbi.nlm.nih.gov/pubmed/27437097
http://dx.doi.org/10.1186/s13569-016-0051-5
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