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Systemic Inflammatory Response Syndrome Predicts Mortality in Acute Coronary Syndrome without Congestive Heart Failure

INTRODUCTION: High levels of inflammatory biochemical markers are associated with an increased risk among patients with acute coronary syndrome (ACS). The objective of the current study was to evaluate the prognostic significance of the systemic inflammatory response syndrome (SIRS) among ACS patien...

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Autores principales: Fosco, Matías José, Ceretti, Victoria, Agranatti, Daniel
Formato: Texto
Lenguaje:English
Publicado: Department of Emergency Medicine, University of California, Irvine School of Medicine 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967692/
https://www.ncbi.nlm.nih.gov/pubmed/21079712
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author Fosco, Matías José
Ceretti, Victoria
Agranatti, Daniel
author_facet Fosco, Matías José
Ceretti, Victoria
Agranatti, Daniel
author_sort Fosco, Matías José
collection PubMed
description INTRODUCTION: High levels of inflammatory biochemical markers are associated with an increased risk among patients with acute coronary syndrome (ACS). The objective of the current study was to evaluate the prognostic significance of the systemic inflammatory response syndrome (SIRS) among ACS patients with no clinical or radiological evidence of congestive heart failure (CHF). METHODS: Consecutive patients with ACS and no clinical or radiological evidence of CHF in the emergency department (ED) were included in the study. The endpoint was hospital mortality. Categorical variables were compared by calculating proportions with 95% confidence intervals (CIs) and by using the Fisher Exact test. Continuous variables were compared by using the Wilcoxon Rank Sum test. The association of the variables with hospital mortality was assessed by using the logistic regression analysis. RESULTS: The study included 196 patients (60 years; female 32.6 %). Six patients (3.1 %) died in hospital and 22 patients (11.2 %) had SIRS on admission to the ED. The following variables were predictors of hospital mortality: age with an odds ratio (OR) of 1.1 (95% CI, 1–1.2) for each one additional year (p <0.01), systolic arterial pressure with an OR 0.9 (95% CI, 0.9–1), diastolic arterial pressure with an OR 0.9 (95% CI, 0.8–1) for each one additional mmHg (p < 0.01), respiratory rate with an OR 1.5 (95% CI, 1.2–1.9) for each one additional breath per minute (p < 0.01), and SIRS with an OR 9 (95% CI, 1.7–47.8) (p 0.02). Because of the small number of events, it was not possible to assess the independence of these risk factors. CONCLUSION: SIRS was a marker of increased risk of hospital mortality among patients with ACS and no clinical or radiological evidence of CHF.
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spelling pubmed-29676922010-11-15 Systemic Inflammatory Response Syndrome Predicts Mortality in Acute Coronary Syndrome without Congestive Heart Failure Fosco, Matías José Ceretti, Victoria Agranatti, Daniel West J Emerg Med Cardiology INTRODUCTION: High levels of inflammatory biochemical markers are associated with an increased risk among patients with acute coronary syndrome (ACS). The objective of the current study was to evaluate the prognostic significance of the systemic inflammatory response syndrome (SIRS) among ACS patients with no clinical or radiological evidence of congestive heart failure (CHF). METHODS: Consecutive patients with ACS and no clinical or radiological evidence of CHF in the emergency department (ED) were included in the study. The endpoint was hospital mortality. Categorical variables were compared by calculating proportions with 95% confidence intervals (CIs) and by using the Fisher Exact test. Continuous variables were compared by using the Wilcoxon Rank Sum test. The association of the variables with hospital mortality was assessed by using the logistic regression analysis. RESULTS: The study included 196 patients (60 years; female 32.6 %). Six patients (3.1 %) died in hospital and 22 patients (11.2 %) had SIRS on admission to the ED. The following variables were predictors of hospital mortality: age with an odds ratio (OR) of 1.1 (95% CI, 1–1.2) for each one additional year (p <0.01), systolic arterial pressure with an OR 0.9 (95% CI, 0.9–1), diastolic arterial pressure with an OR 0.9 (95% CI, 0.8–1) for each one additional mmHg (p < 0.01), respiratory rate with an OR 1.5 (95% CI, 1.2–1.9) for each one additional breath per minute (p < 0.01), and SIRS with an OR 9 (95% CI, 1.7–47.8) (p 0.02). Because of the small number of events, it was not possible to assess the independence of these risk factors. CONCLUSION: SIRS was a marker of increased risk of hospital mortality among patients with ACS and no clinical or radiological evidence of CHF. Department of Emergency Medicine, University of California, Irvine School of Medicine 2010-09 /pmc/articles/PMC2967692/ /pubmed/21079712 Text en Copyright © 2010 the authors. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Cardiology
Fosco, Matías José
Ceretti, Victoria
Agranatti, Daniel
Systemic Inflammatory Response Syndrome Predicts Mortality in Acute Coronary Syndrome without Congestive Heart Failure
title Systemic Inflammatory Response Syndrome Predicts Mortality in Acute Coronary Syndrome without Congestive Heart Failure
title_full Systemic Inflammatory Response Syndrome Predicts Mortality in Acute Coronary Syndrome without Congestive Heart Failure
title_fullStr Systemic Inflammatory Response Syndrome Predicts Mortality in Acute Coronary Syndrome without Congestive Heart Failure
title_full_unstemmed Systemic Inflammatory Response Syndrome Predicts Mortality in Acute Coronary Syndrome without Congestive Heart Failure
title_short Systemic Inflammatory Response Syndrome Predicts Mortality in Acute Coronary Syndrome without Congestive Heart Failure
title_sort systemic inflammatory response syndrome predicts mortality in acute coronary syndrome without congestive heart failure
topic Cardiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967692/
https://www.ncbi.nlm.nih.gov/pubmed/21079712
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