Changing pattern of admissions for acute myocardial infarction in India during the COVID-19 pandemic.

AIM: Studies on the changes in the presentation and management of acute myocardial infarction (AMI) during the COVID-19 pandemic from low- and middle-income countries are limited. We sought to determine the changes in the number of admissions, management practices, and outcomes of AMI during the pandemic period in India. METHODS & RESULTS: In this two-timepoint cross-sectional study involving 187 hospitals across India, patients admitted with AMI between 15th March to 15th June in 2020 were compared with those admitted during the corresponding period of 2019. We included 41,832 consecutive adults with AMI. Admissions during the pandemic period (n = 16414) decreased by 35·4% as compared to the corresponding period in 2019 (n = 25418). We observed significant heterogeneity in this decline across India. The weekly average decrease in AMI admissions in 2020 correlated negatively with the number of COVID cases (r = -0·48; r2 = 0·2), but strongly correlated with the stringency of lockdown index (r = 0·95; r2 = 0·90). On a multi-level logistic regression, admissions were lower in 2020 with older age categories, tier 1 cities, and centers with high patient volume. Adjusted utilization rate of coronary angiography, and percutaneous coronary intervention decreased by 11·3%, and 5·9% respectively. CONCLUSIONS: The magnitude of reduction in AMI admissions across India was not uniform. The nature, time course, and the patient demographics were different compared to reports from other countries, suggesting a significant impact due to the lockdown. These findings have important implications in managing AMI during the pandemic.

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

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.

Comparison of arrhythmia detection by conventional Holter and a novel ambulatory ECG system using patch and Android App, over 24 h period.

BACKGROUND: Ambulatory electrocardiogram (AECG) is done for evaluation of arrhythmia. Commonly used AECG system is 24 h Holter. Patch based second generation AECG monitoring devices, which can record for longer periods, are now available. OBJECTIVE: Android App based WebCardio using WiPatch is a new AECG system which records ECG in two leads for 72 h. Our study compared the arrhythmia detection by WebCardio and conventional Holter by simultaneously connecting both for 24 h in patients having indication for AECG. METHODS: The AECG of patients who had simultaneous recording with WebCardio and conventional Holter, in the department of Cardiology, Medical College, Thrissur were evaluated. Ability to detect any of the 6 arrhythmias :1) atrial fibrillation (AF), 2) atrioventricular (AV) block, 3) sinus pause of ≥3 s (SP), 4) supraventricular tachycardia (SVT), 5) premature ventricular complex (PVC) and 6) ventricular tachycardia (VT)/ventricular fibrillation (VF) was compared. Detection of each arrhythmia was also compared. RESULTS: 141 patients had simultaneous recordings by both systems of AECG. The WebCardio picked up at least one of the 6 arrhythmias; AF, AV block, SP, SVT, PVC or VT/VF in 98 cases compared to 88 in the Holter (McNemars test, two tail P = 0.006). In eleven cases WebCardio detected an arrhythmia where Holter could not. In one case Holter identified an arrhythmia and WebCardio could not. Individual arrhythmias; AF, SP, SVT and VT/VF were detected equally by both systems. AV block (23 Vs 18, p = 0.0625) and PVCs (83 Vs 74, p = 0.0636) were detected in more number of cases in WebCardio. In the five cases where WebCardio alone identified AV block, four had poor quality of P wave in the Holter. CONCLUSION: Arrhythmia was picked up in more number of patients by the WebCardio compared to Holter. This was due to higher pickup of AV block and PVCs by WebCardio. Difference in AV block identification was due to better quality of P in WebCardio. WebCardio is a good alternative to Holter for AECG.