Baseline and early changes in laboratory parameters predict disease severity and fatal outcomes in COVID-19 patients

IntroductionCoronavirus disease 2019 (COVID-19) has become the worst catastrophe of the twenty-first century and has led to the death of more than 6.9 million individuals across the globe. Despite the growing knowledge of the clinicopathological features of COVID-19, the correlation between baseline...

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Main Authors: Addisu Gize (Author), Yerega Belete (Author), Melkayehu Kassa (Author), Wondewosen Tsegaye (Author), Gadissa Bedada Hundie (Author), Birhan Mesele Belete (Author), Mahteme Bekele (Author), Berhan Ababaw (Author), Yosef Tadesse (Author), Bereket Fantahun (Author), Sisay Sirgu (Author), Solomon Ali (Author), Anteneh Mehari Tizazu (Author)
Format: Book
Published: Frontiers Media S.A., 2023-12-01T00:00:00Z.
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100 1 0 |a Addisu Gize  |e author 
700 1 0 |a Addisu Gize  |e author 
700 1 0 |a Yerega Belete  |e author 
700 1 0 |a Melkayehu Kassa  |e author 
700 1 0 |a Wondewosen Tsegaye  |e author 
700 1 0 |a Gadissa Bedada Hundie  |e author 
700 1 0 |a Birhan Mesele Belete  |e author 
700 1 0 |a Mahteme Bekele  |e author 
700 1 0 |a Berhan Ababaw  |e author 
700 1 0 |a Yosef Tadesse  |e author 
700 1 0 |a Bereket Fantahun  |e author 
700 1 0 |a Sisay Sirgu  |e author 
700 1 0 |a Solomon Ali  |e author 
700 1 0 |a Anteneh Mehari Tizazu  |e author 
245 0 0 |a Baseline and early changes in laboratory parameters predict disease severity and fatal outcomes in COVID-19 patients 
260 |b Frontiers Media S.A.,   |c 2023-12-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2023.1252358 
520 |a IntroductionCoronavirus disease 2019 (COVID-19) has become the worst catastrophe of the twenty-first century and has led to the death of more than 6.9 million individuals across the globe. Despite the growing knowledge of the clinicopathological features of COVID-19, the correlation between baseline and early changes in the laboratory parameters and the clinical outcomes of patients is not entirely understood.MethodsHere, we conducted a time series cross-sectional study aimed at assessing different measured parameters and socio-demographic factors that are associated with disease severity and the outcome of the disease in 268 PCR-confirmed COVID-19 Patients.ResultsWe found COVID-19 patients who died had a median age of 61 years (IQR, 50 y - 70 y), which is significantly higher (p < 0.05) compared to those who survived and had a median age of 54 years (IQR, 42y - 65y). The median RBC count of COVID-19 survivors was 4.9 × 106/μL (IQR 4.3 × 106/μL - 5.2 × 106/μL) which is higher (p < 0.05) compared to those who died 4.4 × 106/μL (3.82 × 106/μL - 5.02 × 106/μL). Similarly, COVID-19 survivors had significantly (p < 0.05) higher lymphocyte and monocyte percentages compared to those who died. One important result we found was that COVID-19 patients who presented with severe/critical cases at the time of first admission but managed to survive had a lower percentage of neutrophil, neutrophil to lymphocyte ratio, higher lymphocyte and monocyte percentages, and RBC count compared to those who died.ConclusionTo conclude here, we showed that simple laboratory parameters can be used to predict severity and outcome in COVID-19 patients. As these parameters are simple, inexpensive, and radially available in most resource-limited countries, they can be extrapolated to future viral epidemics or pandemics to allocate resources to particular patients. 
546 |a EN 
690 |a COVID-19 
690 |a mortality 
690 |a severity 
690 |a laboratory parameters 
690 |a resource-limited countries 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 11 (2023) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2023.1252358/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/e9b03a8cf8f449dfba3b78fdbca8d1f6  |z Connect to this object online.