Dataset Information

Pattern of acute MI admissions in India during COVID-19 era: A Cardiological Society of India study - Rationale and design.

ABSTRACT:

Background

COVID-19 pandemic has affected around 20million patients worldwide and 2.0 million cases from India. The lockdown was employed to delay the pandemic. However, it had an unintentional impact on acute cardiovascular care, especially acute myocardial infarction (AMI). Observational studies have shown a decrease in hospital admissions for AMI in several developed countries during the pandemic period. We aimed to evaluate the impact of COVID-19 on the AMI admissions patterns across India.

Methods

In this multicentric, retrospective, cross-sectional study, we included all AMI cases admitted to participating hospitals during the study period 15th March to 15th June 2020 and compared them using a historical control of all cases of AMI admitted during the corresponding period in the year 2019. Major objective of the study is to analyze the changes inthe number of hospital admissions for AMI in hospitals across India. In addition, we intend to evaluate the impact of COVID-19 on the weekly AMI admission rates, and other performance measures like rates of thrombolysis/primary percutaneous interventions (PCI), window period, door to balloon time, and door to needle time. Other objectives include evaluation of changes in the major complications and mortality rates of AMI and its predictors during COVID-19 pandemic.

Conclusions

This CSI-AMI study will provide scientific evidence about the impact of COVID-19 on AMI care in India. Based on this study, we may be able to suggest appropriate changes to the existing MI guidelines and to educate the public regarding emergency care for AMI during COVID-19 pandemic.

SUBMITTER: Ramakrishnan S

PROVIDER: S-EPMC7476577 | biostudies-literature | 2020 Nov-Dec

REPOSITORIES: biostudies-literature

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Publications

Pattern of acute MI admissions in India during COVID-19 era: A Cardiological Society of India study - Rationale and design.

Ramakrishnan Sivasubramanian S Jabir Abdullakutty A Jayagopal Pathiyil Balagopalan PB Mohanan Padinhare Purayil PP Nair Venugopal Krishnan VK Das Mrinal Kanti MK Mandal Manoranjan M Roy Debabrata D Reddy Seemala Saikrishna SS Malviya Amit A Singh Bateshwar Prasad BP Bharti Bishwa Bhushan BB Majumder Biswajit B Karunadas Chakkalakkal Prabhakaran CP Meena Chandra Bhan CB Girish Meennahalli Palleda MP Ezhilan Janakiraman J Tummala Karthik K Katyal Virender Kumar VK Subramanyam Kodangala K Goyal Krishna Kishore KK Kenchappa Kumar K Gupta Mohit Dayal MD Hanumanthappa Natesh Bangalore NB Bardoloi Neil N Modi Nitin N Bhattacharyya Pranab Jyoti PJ Gadkari Pushkraj P Patil Rahul Raosaheb RR Murty Rambhatla Suryanarayana RS Baruah Rituparna R Krishnappa Santhosh S Kumar Satish S Routray Satyanarayan S Tewari Satyendra S Gupta Shashi Bhushan SB Maduramuthu Sivabalan S Yerram Sreekanth S Kumar Sudeep S Jadhav Uday U Manjunath Cholenahally Nanjappa CN Prabhakaran Dorairaj D Kerker Prafulla P Yadav Rakesh R Guha Santanu S Deb Pradip Kumar PK Zachariah Geevar G

Indian heart journal 20200907 6

<h4>Background</h4>COVID-19 pandemic has affected around 20million patients worldwide and 2.0 million cases from India. The lockdown was employed to delay the pandemic. However, it had an unintentional impact on acute cardiovascular care, especially acute myocardial infarction (AMI). Observational studies have shown a decrease in hospital admissions for AMI in several developed countries during the pandemic period. We aimed to evaluate the impact of COVID-19 on the AMI admissions patterns across ...[more]

PMID: 33357642

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Project description:BackgroundOver 75% of the annual estimated 9.5 million deaths in India occur in the home, and the large majority of these do not have a certified cause. India and other developing countries urgently need reliable quantification of the causes of death. They also need better epidemiological evidence about the relevance of physical (such as blood pressure and obesity), behavioral (such as smoking, alcohol, HIV-1 risk taking, and immunization history), and biological (such as blood lipids and gene polymorphisms) measurements to the development of disease in individuals or disease rates in populations. We report here on the rationale, design, and implementation of the world's largest prospective study of the causes and correlates of mortality.Methods and findingsWe will monitor nearly 14 million people in 2.4 million nationally representative Indian households (6.3 million people in 1.1 million households in the 1998-2003 sample frame and 7.6 million people in 1.3 million households in the 2004-2014 sample frame) for vital status and, if dead, the causes of death through a well-validated verbal autopsy (VA) instrument. About 300,000 deaths from 1998-2003 and some 700,000 deaths from 2004-2014 are expected; of these about 850,000 will be coded by two physicians to provide causes of death by gender, age, socioeconomic status, and geographical region. Pilot studies will evaluate the addition of physical and biological measurements, specifically dried blood spots. Preliminary results from over 35,000 deaths suggest that VA can ascertain the leading causes of death, reduce the misclassification of causes, and derive the probable underlying cause of death when it has not been reported. VA yields broad classification of the underlying causes in about 90% of deaths before age 70. In old age, however, the proportion of classifiable deaths is lower. By tracking underlying demographic denominators, the study permits quantification of absolute mortality rates. Household case-control, proportional mortality, and nested case-control methods permit quantification of risk factors.ConclusionsThis study will reliably document not only the underlying cause of child and adult deaths but also key risk factors (behavioral, physical, environmental, and eventually, genetic). It offers a globally replicable model for reliably estimating cause-specific mortality using VA and strengthens India's flagship mortality monitoring system. Despite the misclassification that is still expected, the new cause-of-death data will be substantially better than that available previously.

Dataset Information

Pattern of acute MI admissions in India during COVID-19 era: A Cardiological Society of India study - Rationale and design.

Background

Methods

Conclusions

Publications

Pattern of acute MI admissions in India during COVID-19 era: A Cardiological Society of India study - Rationale and design.

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