Baseline and early changes in laboratory parameters predict disease severity and fatal outcomes in COVID-19 patients.
| Autor: | Gize A; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.; CIHLMU Center for International Health, LMU University Hospital, LMU Munich, Germany., Belete Y; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia., Kassa M; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia., Tsegaye W; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia., Hundie GB; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia., Belete BM; Department of Internal Medicine, School of Medicine, College of Health Science and Medicine, Wollo University, Dessie, Ethiopia., Bekele M; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia., Ababaw B; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia., Tadesse Y; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia., Fantahun B; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia., Sirgu S; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia., Ali S; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia., Tizazu AM; School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in public health [Front Public Health] 2023 Dec 13; Vol. 11, pp. 1252358. Date of Electronic Publication: 2023 Dec 13 (Print Publication: 2023). |
| DOI: | 10.3389/fpubh.2023.1252358 |
| Abstrakt: | Introduction: Coronavirus 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. Methods: Here, 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. Results: We 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 × 10 6 /μL (IQR 4.3 × 10 6 /μL - 5.2 × 10 6 /μL) which is higher ( p < 0.05) compared to those who died 4.4 × 10 6 /μL (3.82 × 10 6 /μL - 5.02 × 10 6 /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. Conclusion: To 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. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Gize, Belete, Kassa, Tsegaye, Hundie, Belete, Bekele, Ababaw, Tadesse, Fantahun, Sirgu, Ali and Tizazu.) |
| Databáze: | MEDLINE |
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