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Usefulness of qSOFA and ECOG Scores for Predicting Hospital Mortality in Postsurgical Cancer Patients without Infection

BACKGROUND: The quick sequential organ failure assessment (qSOFA) and the Eastern Cooperative Oncologic Group (ECOG) scale are simple and easy parameters to measure because they do not require laboratory tests. The objective of this study was to compare the discriminatory capacity of the qSOFA and E...

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Autores principales: Ñamendys-Silva, Silvio A., Joachin-Sánchez, Emerson, Joffre-Torres, Aranza, Córdova-Sánchez, Bertha M., Ferrer-Burgos, Guadalupe, González-Chon, Octavio, Herrera-Gomez, Angel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521516/
https://www.ncbi.nlm.nih.gov/pubmed/31187034
http://dx.doi.org/10.1155/2019/9418971
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author Ñamendys-Silva, Silvio A.
Joachin-Sánchez, Emerson
Joffre-Torres, Aranza
Córdova-Sánchez, Bertha M.
Ferrer-Burgos, Guadalupe
González-Chon, Octavio
Herrera-Gomez, Angel
author_facet Ñamendys-Silva, Silvio A.
Joachin-Sánchez, Emerson
Joffre-Torres, Aranza
Córdova-Sánchez, Bertha M.
Ferrer-Burgos, Guadalupe
González-Chon, Octavio
Herrera-Gomez, Angel
author_sort Ñamendys-Silva, Silvio A.
collection PubMed
description BACKGROUND: The quick sequential organ failure assessment (qSOFA) and the Eastern Cooperative Oncologic Group (ECOG) scale are simple and easy parameters to measure because they do not require laboratory tests. The objective of this study was to compare the discriminatory capacity of the qSOFA and ECOG to predict hospital mortality in postsurgical cancer patients without infection. METHODS: During the period 2013–2017, we prospectively collected data of all patients without infection who were admitted to the ICU during the postoperative period, except those who stayed in the ICU for <24 hours or patients under 18 years. The ECOG score during the last month before hospitalization and the qSOFA performed during the first hour after admission to the intensive care unit (ICU) were collected. The primary outcome for this study was the in-hospital mortality rate. RESULTS: A total of 315 patients were included. The ICU and hospital mortality rates were 6% and 9.2%, respectively. No difference was observed between the qSOFA [AUC=0.75 (95% CI = 0.69-0.79)] and the ECOG scores [AUC=0.68 (95%CI =0.62-0.73)] (p=0.221) for predicting in-hospital mortality. qSOFA greater than 1 predicted in-hospital mortality with a high sensitivity (100%) but low specificity (38.8%); positive predictive value of 26.3% and negative predictive value of 93.1% compared to 74.4% of specificity, 55.1% of sensitivity%; positive predictive value of 18% and negative predictive value of 94.2% for an ECOG score greater than 1. Multivariable Cox regression analysis identified two independent predicting factors of in-hospital mortality, which included ECOG score during the last month before hospitalization (HR: 1.46; 95 % CI: 1.06-2.00); qSOFA calculated in the first hours after ICU admission (OR: 3.17; 95 % CI: 1.79–5.63). CONCLUSION: No difference was observed between the qSOFA and ECOG for predicting in-hospital mortality. The qSOFA score performed during the first hour after admission to the ICU and ECOG scale during the last month before hospitalization were associated with in-hospital mortality in postsurgical cancer patients without infection. The qSOFA and ECOG score have a potential to be included as early warning tools for hospitalized postsurgical cancer patients without infection.
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spelling pubmed-65215162019-06-11 Usefulness of qSOFA and ECOG Scores for Predicting Hospital Mortality in Postsurgical Cancer Patients without Infection Ñamendys-Silva, Silvio A. Joachin-Sánchez, Emerson Joffre-Torres, Aranza Córdova-Sánchez, Bertha M. Ferrer-Burgos, Guadalupe González-Chon, Octavio Herrera-Gomez, Angel Int J Chronic Dis Research Article BACKGROUND: The quick sequential organ failure assessment (qSOFA) and the Eastern Cooperative Oncologic Group (ECOG) scale are simple and easy parameters to measure because they do not require laboratory tests. The objective of this study was to compare the discriminatory capacity of the qSOFA and ECOG to predict hospital mortality in postsurgical cancer patients without infection. METHODS: During the period 2013–2017, we prospectively collected data of all patients without infection who were admitted to the ICU during the postoperative period, except those who stayed in the ICU for <24 hours or patients under 18 years. The ECOG score during the last month before hospitalization and the qSOFA performed during the first hour after admission to the intensive care unit (ICU) were collected. The primary outcome for this study was the in-hospital mortality rate. RESULTS: A total of 315 patients were included. The ICU and hospital mortality rates were 6% and 9.2%, respectively. No difference was observed between the qSOFA [AUC=0.75 (95% CI = 0.69-0.79)] and the ECOG scores [AUC=0.68 (95%CI =0.62-0.73)] (p=0.221) for predicting in-hospital mortality. qSOFA greater than 1 predicted in-hospital mortality with a high sensitivity (100%) but low specificity (38.8%); positive predictive value of 26.3% and negative predictive value of 93.1% compared to 74.4% of specificity, 55.1% of sensitivity%; positive predictive value of 18% and negative predictive value of 94.2% for an ECOG score greater than 1. Multivariable Cox regression analysis identified two independent predicting factors of in-hospital mortality, which included ECOG score during the last month before hospitalization (HR: 1.46; 95 % CI: 1.06-2.00); qSOFA calculated in the first hours after ICU admission (OR: 3.17; 95 % CI: 1.79–5.63). CONCLUSION: No difference was observed between the qSOFA and ECOG for predicting in-hospital mortality. The qSOFA score performed during the first hour after admission to the ICU and ECOG scale during the last month before hospitalization were associated with in-hospital mortality in postsurgical cancer patients without infection. The qSOFA and ECOG score have a potential to be included as early warning tools for hospitalized postsurgical cancer patients without infection. Hindawi 2019-05-02 /pmc/articles/PMC6521516/ /pubmed/31187034 http://dx.doi.org/10.1155/2019/9418971 Text en Copyright © 2019 Silvio A. Ñamendys-Silva et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ñamendys-Silva, Silvio A.
Joachin-Sánchez, Emerson
Joffre-Torres, Aranza
Córdova-Sánchez, Bertha M.
Ferrer-Burgos, Guadalupe
González-Chon, Octavio
Herrera-Gomez, Angel
Usefulness of qSOFA and ECOG Scores for Predicting Hospital Mortality in Postsurgical Cancer Patients without Infection
title Usefulness of qSOFA and ECOG Scores for Predicting Hospital Mortality in Postsurgical Cancer Patients without Infection
title_full Usefulness of qSOFA and ECOG Scores for Predicting Hospital Mortality in Postsurgical Cancer Patients without Infection
title_fullStr Usefulness of qSOFA and ECOG Scores for Predicting Hospital Mortality in Postsurgical Cancer Patients without Infection
title_full_unstemmed Usefulness of qSOFA and ECOG Scores for Predicting Hospital Mortality in Postsurgical Cancer Patients without Infection
title_short Usefulness of qSOFA and ECOG Scores for Predicting Hospital Mortality in Postsurgical Cancer Patients without Infection
title_sort usefulness of qsofa and ecog scores for predicting hospital mortality in postsurgical cancer patients without infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521516/
https://www.ncbi.nlm.nih.gov/pubmed/31187034
http://dx.doi.org/10.1155/2019/9418971
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