Preliminary study to identify severe from moderate cases of COVID-19 using NLR&RDW-SD combination parameter

changzheng wang; Chengbin Li

(which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.09.20058594 doi: medRxiv preprint and early warning of disease progression which is the key to reducing the overall mortality of patients with COVID-19 [25] . This study found that the combined parameter of NLR&RDW-SD can be used as an indicator to distinguish moderate COVID-19 patients from severe cases. The AUC is up to 0.938, based on its optimal cut-off value (1.046), the diagnostic accuracy is up to 85.7%, and there is a good positive and negative likelihood ratio. That is to say, if the result of NLR&RDW-SD of a COVID-19 patient exceeds 1.046, it suggests that there is a greater possibility that the patient's situation is more likely to get worse or the patient is more likely to be a severe patient. If the result of NLR&RDW-SD is less than 1.046, it suggests that the patient is more likely get better or to be a moderate patient. This information will help clinicians to predict the severity and disease classification of patients, to take effective treatment measures in advance, to carry out differential treatment and to control the epidemic effectively.