Title:Insight to Combat Post COVID-19 Mortality: Complications and
their Biomarkers
Volume: 23
Issue: 8
关键词:
COVID-19、分子发病机制、生物标志物、肺毛霉菌病、肺纤维化、肺曲霉菌病。
摘要:
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.
Objectives: In an attempt to better understand and mitigate 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 in most of
the cases than extrapulmonary complications.
Methods: 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.
Results: 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: 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.
