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The Value of Early and Follow-Up Elevated Scores Based on Peripheral Complete Blood Cell Count for Predicting Adverse Outcomes in COVID-19 Patients.

Authors :
Chelariu, Andrei-Costin
Coman, Adorata Elena
Lionte, Catalina
Gorciac, Victoria
Sorodoc, Victorita
Haliga, Raluca Ecaterina
Petris, Ovidiu Rusalim
Bologa, Cristina
Puha, Gabriela
Stoica, Alexandra
Constantin, Mihai
Sirbu, Oana
Ceasovschih, Alexandr
Sorodoc, Laurentiu
Source :
Journal of Personalized Medicine. Dec2022, Vol. 12 Issue 12, p2037. 13p.
Publication Year :
2022

Abstract

Background: The ongoing COVID-19 pandemic has put a constant strain on hospital resources, so there is a dire need for investigation methods that are widely available and that can predict mortality and the need for critical care. Hematological indices, which can be easily calculated from a complete blood count (CBC), are useful in determining a patient's inflammatory response to infectious diseases. Aim: This was a prospective cohort study that aimed to assess the prognostic value of scores based on CBCs in hospitalized patients with mild or moderate COVID-19 and medical comorbidities regarding the need for intensive care unit (ICU) therapy and short-term mortality. Methods: We included 607 patients with confirmed COVID-19, followed up for the need for ICU admission (15.5%) and 30 day mortality post-discharge (21.7%). CBC-derived scores were tested upon emergency department (ED) admission and after a median of 8 days. Results: In a multivariate model, elevated followed-up neutrophil-to-lymphocyte ratio (NLR) predicted increased odds for ICU admission (OR: 1.14 [95%CI: 1.06–1.22], p < 0.001) and short-term mortality (OR: 1.30 [95%CI: 1.09–1.57], p = 0.005). Monocyte-to-lymphocyte ratio (MLR) predicted 2.5-fold increased odds for ICU admission and 2.2-fold increased odds for mortality. Conclusion: NLR and MLR followed up 8 days post-admission are predictive for adverse outcomes in mild or moderate COVID-19 patients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20754426
Volume :
12
Issue :
12
Database :
Academic Search Index
Journal :
Journal of Personalized Medicine
Publication Type :
Academic Journal
Accession number :
161005710
Full Text :
https://doi.org/10.3390/jpm12122037