ABSTRACT
Introduction With the spread of the Covid-19 pandemic and its overwhelming impact on health systems in several countries, the importance of identifying predictors of severity is of paramount importance. The objective of this study is to determine the relationship between death and the biological parameters of patients with Covid-19. Materials and methods This is an analytical retrospective cohort study conducted on 326 patients admitted to the Mohammed VI University Hospital in Oujda, Morocco. The statistical analysis concerned the biological parameters carried out on the admission of the patients, in addition to age and sex. The comparison between the two surviving and non-surviving groups was made by a simple analysis than a multivariate analysis by logistic regression. Next, a survival analysis was performed by the Kaplan-Meier method and then by Cox regression. Results A total of 326 patients were included in the study, including 108 fatal cases. The mean age was 64.66 ± 15.51 and the sex ratio was 1.08:1 (M:F). Age, procalcitonin, liver enzymes, and coagulation factors were significantly higher in patients who died of Covid-19 and are therefore considered to be the main prognostic factors identified in this study. Conclusion Knowledge and monitoring of predictive biomarkers of poor prognosis in patients with Covid-19 could be of great help in the identification of patients at risk and in the implementation of an effective diagnostic and therapeutic strategy to predict severe disease forms.
ABSTRACT
COVID-19 was discovered in China for the first time in December 2019 and was declared a pandemic by the World Health Organization on March 11, 2020. Due to its rapid geographic expansion over the last three years, it has now become a global health issue. The infection is caused by SARS-CoV-2, which is obtained from a zoonotic source and transmitted directly or through contact. Following exposure, the immune system becomes hyperactive resulting in the production of pro-inflammatory cytokines, particularly interleukin-6 (IL-6), a naturally occurring pleiotropic cytokine that plays a significant role in respiratory failure and multi-organ dysfunction. This massive inflammatory phenomenon is reminiscent of cytokine release syndrome (CRS) or "cytokine storm", which may be at the root of many severe complications. In fact, serum IL-6 levels are significantly high in patients with severe Covid-19 disease. The goal of treatment is to change the cytokine's concentration or activity. Interleukin-6 production could be inhibited, reducing inflammation and so serving as a therapeutic target. anti-interleukin-6 receptor monoclonal antibodies have been proven to reduce the severity of COVID-19 in clinical trials aimed at clarifying the function of immunoregulation. As a result, the Il-6 assay is a reliable predictor of morbidity and mortality at the time of infection diagnosis. The aim of our study is to highlight the role of interleukin 6 as biomarker of the COVID- 19 progression.
ABSTRACT
COVID-19 is an emerging viral disease with incompletely elucidated pathogenesis, a heterogeneous clinical profile, and significant interindividual variability. The major cardiovascular complications of COVID-19 include acute cardiac injury, acute myocardial infarction (AMI), myocarditis, arrhythmia, heart failure, and venous thromboembolism (VTE)/pulmonary embolism (PE). Elevated BNP /NT-proBNP, troponin and d-dimer levels has been found in a significant proportion of patients since the first data analysis, suggesting that myocardial damage is a likely pathogenic mechanism contributing to severe disease and mortality. The level of these markers is now associated with a risk of adverse outcome, namely mortality. The aim of our study is to highlight the importance of these biomarkers for the prediction of cardiovascular complications and their potential role in the evolution of COVID-19.