Title
Hematological profiles of COVID-19 patients at the Ratlam district, Madhya Pradesh State, India
Authors
Reetesh Kumar Gujar, Anil Meena*, Shailendra Singh Chouhan & KS Likhar
Affiliation
Department of Pathology, Government Medical College Ratlam, Madhya Pradesh 457001, India; *Corresponding author;
Anil Meena - E-mail: meenaanil10@gmail.com
Article Type
Research Article
Date
Received June 30, 2021; Revised July 14, 2021; Accepted July 14, 2021, Published July 31, 2021
Abstract
It is of interest to compare the hematological profile (using Complete blood count) of COVID patients admitted in ICU, private ward, and isolation ward with varying severity. This data will help predict the severity of infection at peripheries and rural areas. Detailed history and CBC was performed for all the cases. Different ratios and indexes such as systemic inflammatory index (SII), Neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR) were assessed. A total of 862 cases with a mean age of 49.9±17.4 years were enrolled. Hemoglobin level, lymphocyte (count per liter and percentage) were significantly lower in patients admitted in ICU as compared to patients admitted in the isolation ward and private ward (p<0.05). However, TLC, neutrophils, platelet count were higher in patients admitted to ICU (p<0.05). The Various ratios such as SII, NLR, and PLR showed significantly higher value in cases admitted in ICU (p<0.05). The TLC, neutrophil count, neutrophil percentage, SII, NLR, and PLR were significant predictors of severe disease (admission in ICU) with high diagnostic accuracy. We show that complete blood count method is a simple, readily available, rapid, and inexpensive tool that can be utilized for diagnosis and can predicting the severity of COVID 19 where RTPCR or trained staff is not available. Thus, NLR (%), SII, PLR, and TLC can predict severe illness with high accuracy.
Keywords
Hematology, NLR, SII, ROC curve, COVID
Citation
Gujar et al. Bioinformation 17(7): 680-690 (2021)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
