Background: The neutrophil-to-lymphocyte ratio (NLR), an inflammatory marker, was suggested to be predictive of severity and mortality in COVID-19 patients. Here, we investigated whether NLR levels on admission could predict the severity and mortality of COVID-19 patients.
Methods: A literature search was conducted on 23 July 2020 to retrieve all published articles, including grey literature and preprints, investigating the association between on-admission NLR values and severity or mortality in COVID-19 patients. A meta-analysis was performed to determine the overall standardized mean difference (SMD) in NLR values and the pooled risk ratio (RR) for severity and mortality with the 95% Confidence Interval (95%CI).
Results: A total of 38 articles, including 5699 patients with severity outcomes and 6033 patients with mortality outcomes, were included. The meta-analysis showed that severe and non-survivors of COVID-19 had higher on-admission NLR levels than non-severe and survivors (SMD 0.88; 95%CI 0.72-1.04; I = 75.52% and 1.87; 95%CI 1.25-2.49; I = 97.81%, respectively). Regardless of the different NLR cut-off values, the pooled mortality RR in patients with elevated vs. normal NLR levels was 2.74 (95%CI 0.98-7.66).
Conclusion: High NLR levels on admission were associated with severe COVID-19 and mortality. Further studies need to focus on determining the optimal cut-off value for NLR before clinical use.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832118 | PMC |
http://dx.doi.org/10.1016/j.ajem.2021.01.006 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Department of Gerontology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, People's Republic of China.
20% acute pancreatitis (AP) develops into severe AP (SAP), a global health crisis, with an increased mortality rate to 30%-50%. Mitochondrial damage and immune disorders are direct factors, which exacerbate the occurrence and progression of AP. So far, mitochondrial and immunity injury in SAP remains largely elusive, with no established treatment options available.
View Article and Find Full Text PDFPLoS One
January 2025
Departments of Public Health, Institute of Health Sciences, Wollega University, Ethiopia.
Introduction: The mortality rate among Human immunodeficiency Virus (HIV) who have started antiretroviral therapy (ART) continues to be increased in resource-limited countries, despite a decline in developed nations. Furthermore, research within this age group is limited and has not previously been conducted in the study area. Consequently, this study aimed to determine the incidence of mortality and its predictors among HIV-positive children who have been receiving ART at public health facilities in West Wollega.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Disease Control, School of Veterinary, Medicine, University of Zambia Lusaka, Lusaka, Zambia.
Rift Valley fever (RVF) is an important viral zoonotic disease that not only affects ruminants but causes serious morbidity and mortality in humans. In humans, its symptoms range from mild flu-like signs to a severe form such as retinal damage, meningoencephalitis to haemorrhagic fever. In this study, 202 human serum samples were collected from central and western parts of Zambia and tested for RVF-specific antibodies using a commercially available ELISA kit.
View Article and Find Full Text PDFStat Med
February 2025
Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN.
The semi-competing risks data model is a special type of disease-state model that focuses on studying the association between an intermediate event and a terminal event and proves to be a useful tool in modeling disease progression. The study of the semi-competing risk data model not only allows us to evaluate whether a disease episode is related to death but also provides a toolkit to predict death, given that the episode occurred at a certain time. However, the computation of the semi-competing risk models is a numerically challenging task.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!