Evaluation of mortality attributable to SARS-CoV-2 vaccine administration using national level data from Qatar.

Accurate determination of mortality attributable to SARS-CoV-2 vaccination is critical in allaying concerns about their safety. We reviewed every death in Qatar that occurred within 30 days of any SARS-CoV-2 vaccine administration between January 1, 2021 and June 12, 2022. Probability of association with SARS-CoV-2 vaccination was determined by four independent trained reviewers using a modified WHO algorithm. Among 6,928,359 doses administered, 138 deaths occurred within 30 days of vaccination; eight had a high probability (1.15/1,000,000 doses), 15 had intermediate probability (2.38/1,000,000 doses), and 112 had low probability or no association with vaccination. The death rate among those with high probability of relationship to SARS-CoV-2 vaccination was 0.34/100,000 unique vaccine recipients, while death rate among those with either high or intermediate probability of relationship to SARS-CoV-2 vaccination was 0.98/100,000 unique vaccine recipients. In conclusion, deaths attributable to SARS-CoV-2 vaccination are extremely rare and lower than the overall crude mortality rate in Qatar.

Atrioventricular Conduction Disorders as a Complication of Inferior ST-Elevation Myocardial Infarction in Patients with COVID-19 Infection.

This case series demonstrates how COVID-19 infection might affect the heart in the context of acute myocardial infarction. Atrioventricular (AV) block might appear as one of the significant cardiac complications of acute MI in patients who tested COVID-19 PCR positive regardless of the presence of CVOID-19 infection symptoms. In our series, conduction disorders as a complication of acute inferior STEMI are more common in patients who tested positive for the COVID-19 infection. 11 patients out of 18 inferior STEMI patients who have tested positive for the COVID-19 infection have atrioventricular block disorders.

Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram.

OBJECTIVE: To rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG). METHODS: A global, volunteer consortium from 4 continents identified patients with ECGs obtained around the time of polymerase chain reaction-confirmed COVID-19 diagnosis and age- and sex-matched controls from the same sites. Clinical characteristics, polymerase chain reaction results, and raw electrocardiographic data were collected. A convolutional neural network was trained using 26,153 ECGs (33.2% COVID positive), validated with 3826 ECGs (33.3% positive), and tested on 7870 ECGs not included in other sets (32.7% positive). Performance under different prevalence values was tested by adding control ECGs from a single high-volume site. RESULTS: The area under the curve for detection of acute COVID-19 infection in the test group was 0.767 (95% CI, 0.756 to 0.778; sensitivity, 98%; specificity, 10%; positive predictive value, 37%; negative predictive value, 91%). To more accurately reflect a real-world population, 50,905 normal controls were added to adjust the COVID prevalence to approximately 5% (2657/58,555), resulting in an area under the curve of 0.780 (95% CI, 0.771 to 0.790) with a specificity of 12.1% and a negative predictive value of 99.2%. CONCLUSION: Infection with SARS-CoV-2 results in electrocardiographic changes that permit the artificial intelligence-enhanced ECG to be used as a rapid screening test with a high negative predictive value (99.2%). This may permit the development of electrocardiography-based tools to rapidly screen individuals for pandemic control.

Isolation Unit: A New Way to Practice at Heart Hospital, Qatar during the Corona Virus -2019 Pandemic.

BACKGROUND: The novel coronavirus disease-2019 (COVID-19) spread rapidly around the world and was declared as the second pandemic of the 21st century. The first case was detected in Qatar on February 29, 2020. In order to protect patients and staff in Heart Hospital, the only tertiary cardiac center in Qatar, new measures were implemented to reduce the spread of infection in our hospital. METHODOLOGY: A 13-bed high dependency isolation unit was allocated to receive cardiac patients with appreciate infection control measures. Another isolation unit was also established in coronary care unit for critical patients. All patients admitted to Heart Hospital were tested for COVID-19 on admission. Patients were transferred out of isolation, if result was negative. Patients with positive results were either transferred to a COVID facility before or after planned cardiac procedure depending on their cardiovascular disease risk. RESULTS: Six hundred and seven patients were admitted to both the isolation units, most of them were men (89%). Forty-four percent were diagnosed with ST elevation myocardial infarction, 22% were non-STEMI or unstable angina, 17% were decompensated heart failure, 7% were elective cases for coronary angiography or electrophysiology procedures, 8% for other diagnosis, and 1% for both cardiac arrest and post cardiac surgery. 85.2% of the patients admitted to isolation units were tested negative and transferred to normal wards to complete their treatment. Eighty percent of the patients tested positive or reactive for COVID-19 had epidemiological risk, 8.4% had suggestive symptoms, and 11.6% had abnormal chest X-ray. CONCLUSION: This study demonstrated the importance of the isolation unit with infection control measures in controlling the transmission of COVID-19 in a hospital setting such as the Heart Hospital. Epidemiological risk factors including recent travel, close contact with suspected or confirmed cases within 14 days or less, living in shared accommodation or living in lockdown area were the main risk factors for spreading COVID-19 infection which can be managed by minimizing social activities.

The Impact of COVID-19 Outbreak on Cardiovascular Admissions.

BACKGROUND: The COVID-19 pandemic has caused major disruption in the health care deliveries and activities worldwide including hospital admission. METHOD: We used hospitals discharged coded data from January 1, 2019 to June 30, 2020 to examine the impact of COVID-19 outbreak on the pattern of cardiovascular admission among Hamad Medical Corporation hospitals in the State of Qatar. RESULTS: In this retrospective observational study, we documented significant changes in the pattern of cardiovascular admissions in our hospitals. There was a significant reduction in hospitalizations of various subsets of cardiac disease. Admissions for acute myocardial infarction dropped by 31%, acute decompensated dropped by 48%, unstable angina dropped by 79% and arrythmia by 80%. Primary percutaneous coronary intervention procedures declined briefly. However, the total deaths remained the same despite the increase in mortality rate due to reduced admissions number. CONCLUSION: We postulate the fear of contracting the disease and the lock-down mentality during COVID-19 outbreak contribute to reduction of cardiovascular admission to our hospital.

Impact of COVID-19 upon changes in emergency room visits with chest pain of possible cardiac origin.

OBJECTIVES: A decrease in Emergency Department (ED) visits for cardiac conditions has recently been reported from the US and Western Europe due to the COVID-19 pandemic. The data are still scant, and the correlation between cardiac symptoms and confirmed diagnoses are not available. There are no reports on changes in ED volumes at a national level, or from countries in the Asia-Middle Eastern region. We report data from national referral centers for tertiary care and cardiac care centers in Qatar, which see > 80% of cardiac emergencies in the country. RESULTS: We analyzed 102,033 ED visits in the COVID-19-era (March-April 2020 and 2019) and determined the proportion presenting for cardiac symptoms and their confirmed diagnoses. We observed a 16-37% decline in ED volumes overall, with a 25-50% decline in patients presenting with cardiac symptoms in March and April 2020 compared with March and April 2019. Among those presenting with cardiac symptoms, we observed a 24-43% decline in cardiac diagnoses in March and April 2020 compared with March and April 2019.