Abstract

Deterioration of the clinical condition in corona virus disease 2019 (Covid-19) patients can be rapid and unpredictable A sensitive biomarker is required to assess the disease severity to anticipate these condition Neutrophil to lymphocyte ratio (NLR) is easily calculated from a complete blood count parameters, so it can be used as a biomarker to assess disease severity in Covid-19 patients Patients characteristic and NLR were obtained from patients confirmed by Covid-19 at Udayana University Hospital, Bali, Indonesia from April to September 2020 The Mann Whitney U test is used to determine the difference of NLR in severe and non-severe cases of Covid-19 The receiver operating characteristic curve (ROC) is used to determine the optimal cut - off value, sensitivity, specificity, and area under curve (AUC) of the NLR in assessing disease severity in Covid-19 patients Binary logistic regression analysis was performed to determine the effect of age, comorbidities and other significant variables that have a significant effect on disease severity A total of 411 patients were included in this study We found a significant difference of NLR between severe and non - severe cases of Covid-19 (p < 0 001) We found an optimal NLR cut-off value of 3 0, with 81 4% sensitivity, 81 2% specificity, and area under curve of 0 886 (95% confidence interval (CI) 0 848 - 0 923;p < 0 001) Neutrophil to lymphocyte ratio is a biomarker that has a high diagnostic value for assessing the disease severity in Covid - 19 patients [ABSTRACT FROM AUTHOR] Copyright of Eastern Journal of Medicine is the property of Yuzuncu Yil University, Faculty of Medicine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )

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