Assessment of Some Risk Factors and Biological Predictors in the Post COVID-19 Syndrome in Asthmatic Patients.
Oana Elena MelinteDaniela Robu PopaMona Elisabeta DobrinAndrei Tudor CernomazCristina GrigorescuAlexandra Floriana NemesAdina Catinca GradinaruCristina VicolDoina Adina TodeaDamiana Maria VulturarBogdan Ionel CioroiuAntigona Carmen TroforPublished in: Journal of personalized medicine (2023)
Long COVID-19 or post-COVID infection (PCI) refers to the prolongation of symptoms in people who have been infected with the SARS-CoV-2 virus. Some meta-analysis studies have shown that patients with comorbidities, such as diabetes, obesity or hypertension, have severe complications after infection with the SARS-CoV-2 virus. The presence of chronic respiratory diseases such as bronchial asthma, COPD, pulmonary hypertension or cystic fibrosis increases the risk of developing severe forms of the COVID-19 disease. The risk of developing the severe form of COVID-19 was observed in patients with bronchial asthma being treated with corticosteroids, but also in those hospitalized with severe asthma. The biological variables determined in patients with PCI infection showed changes, especially in the hematological parameters, but also in some inflammatory markers. The aim of this study was to investigate some biological predictors in post-COVID-19 infection in patients with asthma and various comorbidities. In the case of patients diagnosed with moderate and severe forms of COVID-19, the variation in biological tests has shown high concentrations for serum glucose, lactate dehydrogenase and C-reactive protein. Additionally, the calculation of the relative risk (RR) based on the associated comorbidities in patients with PCI points to higher values for patients with asthma, hypertension, diabetes and obesity (RR moderate/severe form = 0.98/1.52), compared to patients with PCI and asthma (RR moderate/severe form = 0.36/0.63). Based on the statistical results, it can be concluded that the alanine aminotransferase (ALT) activity ( p = 0.006) and the age of patients ( p = 0.001) are the variables that contribute the most to the separation of the four classes of comorbidities considered.
Keyphrases
- sars cov
- coronavirus disease
- lung function
- end stage renal disease
- chronic obstructive pulmonary disease
- type diabetes
- cystic fibrosis
- newly diagnosed
- ejection fraction
- coronary artery disease
- respiratory syndrome coronavirus
- early onset
- systematic review
- chronic kidney disease
- pulmonary hypertension
- acute myocardial infarction
- risk factors
- prognostic factors
- insulin resistance
- blood pressure
- peritoneal dialysis
- drug induced
- metabolic syndrome
- cardiovascular disease
- skeletal muscle
- allergic rhinitis
- depressive symptoms
- pseudomonas aeruginosa
- coronary artery
- st segment elevation myocardial infarction
- patient reported outcomes
- coronary artery bypass grafting
- meta analyses
- patient reported
- pulmonary arterial hypertension