Diabetes & metabolic syndrome
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Diabetes Metab Syndr · Sep 2020
ReviewLearning opportunities from COVID-19 and future effects on health care system.
COVID-19 has had a crippling effect on the health care systems around the world with cancellation of elective medical services and disruption of daily life. We would like to highlight the learning opportunities offered by the current pandemic and their implication for a better future health care system. ⋯ COVID-19 has offered unique learning opportunities for the health care sector. Rationalizing and optimizing available resources with resilience shown on the coronavirus frontline during the crisis are some of most important lessons learnt during the crisis. Importance of personal hygiene and re-enforcement of infection control measures have been acknowledged. Telemedicine revolution will be a vital factor in delivering health care in the future.
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Along with its high infectivity and fatality rates, the 2019 Corona Virus Disease (COVID-19) has caused universal psychosocial impact by causing mass hysteria, economic burden and financial losses. Mass fear of COVID-19, termed as "coronaphobia", has generated a plethora of psychiatric manifestations across the different strata of the society. So, this review has been undertaken to define psychosocial impact of COVID-19. ⋯ For better dealing with these psychosocial issues of different strata of the society, psychosocial crisis prevention and intervention models should be urgently developed by the government, health care personnel and other stakeholders. Apt application of internet services, technology and social media to curb both pandemic and infodemic needs to be instigated. Psychosocial preparedness by setting up mental organizations specific for future pandemics is certainly necessary.
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Diabetes Metab Syndr · Sep 2020
ReviewCardiac biomarker-based risk stratification algorithm in patients with severe COVID-19.
Cardiac biomarkers like cardiac troponins and natriuretic peptides are elevated in a substantial proportion of patients with coronavirus disease 2019 (COVID-19). We propose an algorithmic approach using cardiac biomarkers to triage, risk-stratify and prognosticate patients with severe COVID-19. ⋯ It appears beneficial to triage, risk-stratify, and prognosticate patients with COVID-19 based on the evidence of myocardial injury and the presence of underlying cardiovascular disease. Future research studies are, however, needed to validate these proposed benefits.