The rheumatic heart disease continues to be an important cause of disease burden in India, affecting the population in their prime and productive phase of the life. The prevalence of rheumatic heart disease is varied in different Indian studies, because of the inclusion of different populations at different point of times and using different screening methods for the diagnosis. The data on incidence and prevalence on a nationally represented sample are lacking. There is a need for establishing a population-based surveillance system in the country for monitoring trends, management practices, and outcomes to formulate informed guidelines for initiating contextual interventions for prevention and control of rheumatic heart disease.
Background and aims: 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. Methods: We systematically searched the PubMed and Google Scholar databases until May 31st, 2020, and accessed the available data on the role of cardiac biomarkers in patients with COVID-19. Results: COVID-19 is associated with acute cardiac injury in around 7e28% of patients, significantly increasing its associated complications and mortality. Patients with underlying cardiovascular disease are more prone to develop acute cardiac injury as a result of COVID-19. The use of cardiac biomarkers may aid in differentiating the cardiac cause of dyspnea in patients with severe COVID-19. Cardiac biomarkers may also aid in triaging, risk-stratification, clinical decision-making, and prognostication of patients with COVID-19. However, there are concerns that routine testing in all patients with COVID-19 irrespective of severity, may result in unnecessary downstream investigations which may be misleading. In this brief review, using an algorithmic approach, we have tried to rationalize the use of cardiac biomarkers among patients with severe COVID-19. This approach is also likely to lessen the infection exposure risk to the cardiovascular team attending patients with severe COVID-19. Conclusion: 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.
28.7% (95% C.I. of 25.9%-32.8%) of the natives of the Spiti Valley in the Indian Himalayas are affected with CMS. Higher prevalence of CMS amongst women needs further studies. Westernized lifestyle appears to have predisposition to CMS.
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