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Eosinophil Cell Count Predicts Mortality in the Intensive Care Unit after Return of Spontaneous Circulation

BACKGROUND: Eosinophils constitute 1%–5% of peripheral blood leukocytes, less in the presence of acute infections (referred to as eosinopenia). Studies indicate that eosinopenia can be used as a prognostic predictor for chronic obstructive pulmonary disease exacerbation, sepsis, or acute myocardial...

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Autores principales: Korkmaz, İlhan, Tekin, Yusuf Kenan, Tekin, Gülaçan, Demirtaş, Erdal, Yurtbay, Sefa, Nur, Naim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Rambam Health Care Campus 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798586/
https://www.ncbi.nlm.nih.gov/pubmed/35089120
http://dx.doi.org/10.5041/RMMJ.10458
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author Korkmaz, İlhan
Tekin, Yusuf Kenan
Tekin, Gülaçan
Demirtaş, Erdal
Yurtbay, Sefa
Nur, Naim
author_facet Korkmaz, İlhan
Tekin, Yusuf Kenan
Tekin, Gülaçan
Demirtaş, Erdal
Yurtbay, Sefa
Nur, Naim
author_sort Korkmaz, İlhan
collection PubMed
description BACKGROUND: Eosinophils constitute 1%–5% of peripheral blood leukocytes, less in the presence of acute infections (referred to as eosinopenia). Studies indicate that eosinopenia can be used as a prognostic predictor for chronic obstructive pulmonary disease exacerbation, sepsis, or acute myocardial infarction disease. There are only a few studies about predicting mortality in emergency departments and intensive care units (ICUs). Prognostic studies about patients in ICUs are generally carried out using different scoring systems. We aimed to analyze if the eosinophil count can estimate the prognosis among non-traumatic patients who underwent cardiopulmonary resuscitation and were hospitalized in ICU thereafter. METHODS: The data were evaluated of 865 non-traumatic adult patients (>18 years of age) who were admitted with cardiopulmonary arrest or developed cardiopulmonary arrest during clinical follow-ups. Admission venous blood sample tests, complete blood count, and biochemical laboratory results were recorded. Arterial blood gas results were also evaluated. The mean results of the recorded laboratory results were compared between the surviving and non-surviving patients groups. RESULTS: There was a significant difference between the two groups in regard to platelet, eosinophil count, pH, PaO(2), SaO(2), and HCO(3)(−) (P<0.001 for all). In the multiple linear regression analysis, eosinophil counts were found to be an independent factor (odds ratio=0.03, 95% confidence interval 0.33–0.56, P<0.001) associated with the mortality after cardiopulmonary resuscitation. CONCLUSION: Because admission eosinophil counts can be measured easily, they are inexpensive biomarkers that can be used for predicting the prognosis among the patients who have return of spontaneous circulation and are treated in ICUs.
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spelling pubmed-87985862022-01-29 Eosinophil Cell Count Predicts Mortality in the Intensive Care Unit after Return of Spontaneous Circulation Korkmaz, İlhan Tekin, Yusuf Kenan Tekin, Gülaçan Demirtaş, Erdal Yurtbay, Sefa Nur, Naim Rambam Maimonides Med J Original Research BACKGROUND: Eosinophils constitute 1%–5% of peripheral blood leukocytes, less in the presence of acute infections (referred to as eosinopenia). Studies indicate that eosinopenia can be used as a prognostic predictor for chronic obstructive pulmonary disease exacerbation, sepsis, or acute myocardial infarction disease. There are only a few studies about predicting mortality in emergency departments and intensive care units (ICUs). Prognostic studies about patients in ICUs are generally carried out using different scoring systems. We aimed to analyze if the eosinophil count can estimate the prognosis among non-traumatic patients who underwent cardiopulmonary resuscitation and were hospitalized in ICU thereafter. METHODS: The data were evaluated of 865 non-traumatic adult patients (>18 years of age) who were admitted with cardiopulmonary arrest or developed cardiopulmonary arrest during clinical follow-ups. Admission venous blood sample tests, complete blood count, and biochemical laboratory results were recorded. Arterial blood gas results were also evaluated. The mean results of the recorded laboratory results were compared between the surviving and non-surviving patients groups. RESULTS: There was a significant difference between the two groups in regard to platelet, eosinophil count, pH, PaO(2), SaO(2), and HCO(3)(−) (P<0.001 for all). In the multiple linear regression analysis, eosinophil counts were found to be an independent factor (odds ratio=0.03, 95% confidence interval 0.33–0.56, P<0.001) associated with the mortality after cardiopulmonary resuscitation. CONCLUSION: Because admission eosinophil counts can be measured easily, they are inexpensive biomarkers that can be used for predicting the prognosis among the patients who have return of spontaneous circulation and are treated in ICUs. Rambam Health Care Campus 2022-01-27 /pmc/articles/PMC8798586/ /pubmed/35089120 http://dx.doi.org/10.5041/RMMJ.10458 Text en © 2022 Korkmaz et al. https://creativecommons.org/licenses/by/3.0/This is an open-access article. All its content, except where otherwise noted, is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0 (https://creativecommons.org/licenses/by/3.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Korkmaz, İlhan
Tekin, Yusuf Kenan
Tekin, Gülaçan
Demirtaş, Erdal
Yurtbay, Sefa
Nur, Naim
Eosinophil Cell Count Predicts Mortality in the Intensive Care Unit after Return of Spontaneous Circulation
title Eosinophil Cell Count Predicts Mortality in the Intensive Care Unit after Return of Spontaneous Circulation
title_full Eosinophil Cell Count Predicts Mortality in the Intensive Care Unit after Return of Spontaneous Circulation
title_fullStr Eosinophil Cell Count Predicts Mortality in the Intensive Care Unit after Return of Spontaneous Circulation
title_full_unstemmed Eosinophil Cell Count Predicts Mortality in the Intensive Care Unit after Return of Spontaneous Circulation
title_short Eosinophil Cell Count Predicts Mortality in the Intensive Care Unit after Return of Spontaneous Circulation
title_sort eosinophil cell count predicts mortality in the intensive care unit after return of spontaneous circulation
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798586/
https://www.ncbi.nlm.nih.gov/pubmed/35089120
http://dx.doi.org/10.5041/RMMJ.10458
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