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

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dc.contributor.authorKorkmaz, Ilhan
dc.contributor.authorTekin, Yusuf Kenan
dc.contributor.authorTekin, Gulacan
dc.contributor.authorDemirtas, Erdal
dc.contributor.authorYurtbay, Sefa
dc.contributor.authorNur, Naim
dc.date.accessioned2024-10-26T18:09:06Z
dc.date.available2024-10-26T18:09:06Z
dc.date.issued2022
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractBackground: 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, PaO2, SaO(2), and HCO3- (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.
dc.identifier.doi10.5041/RMMJ.10458
dc.identifier.issn2076-9172
dc.identifier.issue1
dc.identifier.pmid35089120
dc.identifier.scopus2-s2.0-85124658080
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.5041/RMMJ.10458
dc.identifier.urihttps://hdl.handle.net/20.500.12418/29956
dc.identifier.volume13
dc.identifier.wosWOS:000749591900001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherRambam Health Care Campus
dc.relation.ispartofRambam Maimonides Medical Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCardiac arrest
dc.subjecteosinophil
dc.subjectprognosis
dc.subjectresuscitation
dc.titleEosinophil Cell Count Predicts Mortality in the Intensive Care Unit after Return of Spontaneous Circulation
dc.typeArticle

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