Open AccessThe Use of Eosinophil Count in Predicting the Need of Coronavirus Disease 2019 Patient for Treatment in Intensive Care Unit
Author(s) -
Ngakan Ketut Wira Suastika,
Ketut Suega
Publication year - 2021
Publication title -
open access macedonian journal of medical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.288
H-Index - 17
ISSN - 1857-9655
DOI - 10.3889/oamjms.2021.6562
Subject(s) - medicine , eosinophil , intensive care unit , receiver operating characteristic , covid-19 , area under the curve , biomarker , absolute neutrophil count , intensive care medicine , disease , chemotherapy , infectious disease (medical specialty) , biochemistry , chemistry , asthma , neutropenia
BACKGROUND: Identification of coronavirus disease 2019 (COVID-19) patients who have the potential to become critical cases at an early stage and providing aggressive therapy can reduce the mortality rate.AIM: This study aims to determine the diagnostic value and differences of eosinophil counts in patients with COVID-19 who require treatment in intensive care unit (ICU) and non-ICU.METHOD: The prospective study was conducted on 382 patients with confirmed COVID-19 who were hospitalized from May to September 2020. Samples were obtained through consecutive sampling techniques. Mann–Whitney analysis was used to determine the difference of eosinophil counts in COVID-19 patients who require treatment in ICU and non-ICU. Receiver operating curve analysis was used to determine the diagnostic value of eosinophil count to predict the need of COVID-19 patients for treatment in ICU.RESULTS: There is a significant difference in the absolute and percentage eosinophil count in COVID-19 patients who need treatment in ICU and non-ICU. The area under the curve of absolute and percentage eosinophil count to predict the need of COVID-19 patients for treatment in ICU is 0.659 and 0.738, respectively. The best cutoff value, sensitivity and specificity of absolute and percentage eosinophil count is <0.025 × 103 μL and <0.25%; 77.7% and 78.3%; and 50.0% and 57.1%, respectively.CONCLUSIONS: The eosinophil count can be used as a biomarker to predict the need of COVID-19 patients for treatment in ICU.