Insight to combat post covid mortality: Complications and their biomarkers

Abstract

Background: COVID-19) is a severe acute respiratory syndrome that has become a prominent source of morbidity and mortality around the world. With millions infected globally by the COVID-19 epidemic, long-term care for COVID-19 survivors has become a global concern. As a result, research into the long-term pulmonary and extrapulmonary consequences and complications of COVID is absolutely necessary. Purpose of study: In an attempt to better understand and mitigate the post recovery mortality, early detection of the post recovery complication might prevent the severity of the complication and can be recovered. As per cases reported, post covid extrapulmonary complications were more than pulmonary complications. However, the post covid pulmonary complications were found to be more lethal and nonrecoverable on most of the cases than extrapulmonary complications. Method: Method: The present review is an attempt to reveal the role and importance of biomarkers associated with critical post covid pulmonary complications. COVID-19 is associated with post-covid pulmonary fibrosis, pulmonary endothelial dysfunction, pulmonary aspergillosis, pulmonary mucormycosis, biomarkers and WHO, as keywords were used to retrieve updated information. PubMed, and Google Scholar were used as search engines for this. Result: There must be a better knowledge of the post-COVID-19 pulmonary problems in terms of systemic pathophysiological results to create multidisciplinary clinics to address both long-term symptoms and potential long-term consequences. This can be achieved by revealing the molecular pathogenesis that can be validated by certain biomarkers and various diagnostic techniques. Accordingly, the clinical program can be designed to treat and effectively manage the post covid pulmonary complications in early-stage to prevent mortality. Conclusion: Conclusion: In order to deal with the specific logistical problems given by pandemic circumstances, effective interdisciplinary collaboration models draw on experiences learned during the early phases of the pandemic.