Background: Identifying prognosticators/predictors of COVID-19 severity is the principal focus for early prediction and effective management of the disease in a time-bound and cost-effective manner. We aimed to evaluate COVID-19 severity-dependent alteration in inflammatory and coagulopathy biomarkers.
Methods: A hospital-dependent retrospective observational study (total: n = 377; male, n = 213; and female, n = 164 participants) was undertaken.
Objectives: -associated dyslipidemia has been reported to be a major risk factor for atherosclerosis and coronary heart diseases. We aimed to investigate the association of the infection with dyslipidemia.
Methods: A retrospective case-control study was undertaken to evaluate -associated dyslipidemia, where -positive individuals were treated as the case group ( = 260) while -negative individuals were considered as the control group ( = 250).
(ubiquitous) and anemia together represent one of the growing health concerns globally. Gastroduodenal sequelae of infection are distinguished; however, for the infection and its implication in the development of anemia, iron has a significant health impact. We aimed to evaluate infection-associated anemia by employing a logistic regression analysis model.
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