Desert Valley Hospital

Although the efficacy and safety of the coronavirus disease 2019 (COVID-19) vaccine have been established, side effects and adverse events related to the COVID-19 vaccine are still coming out. COVID-19 vaccine also has the potential to cause acute and long-term cardiovascular effects, which include myocarditis, pericarditis, myopericarditis, myocardial infarction, pulmonary embolism, thrombotic thrombocytopenia, and pulmonary hemorrhage. Although uncommon, takotsubo cardiomyopathy (TCM) has also been reported following COVID-19 vaccination. We report a case of TCM following the COVID-19 vaccine in a 59-year-old female who presented with intermittent chest pain and dyspnea following the COVID-19 vaccine booster dose. She had no identifiable triggers for TCM, no risk factors for cardiovascular disease, and normal cardiac enzyme levels, ruling out other causes of cardiac dysfunction. The diagnosis of TCM was supported by imaging findings and the absence of obstructive or thrombotic lesions on angiography.

Monitoring early signs of clinical deterioration could allow physicians to adjust medical treatment for patients at risk of acute heart failure decompensation. To date, several strategies using different surrogate measures of clinical status emerged, but none has yet been proven to predict clinical events. We hypothesized that the Physiological Diagnostic feature, which combines data from minute ventilation and physical activity sensors, predicts heart failure events in patients implanted with cardiac resynchronization therapy with defibrillation (CRT-D) devices. The Clinical Evaluation of the Physiological Diagnostic feature in the PARADYM CRT device (CLEPSYDRA) trial is a multicentre, prospective, non-randomized, double-blind study comprising 521 CRT-D patients with heart failure [67.4 ± 10.1 years (mean ± SD), 82% male, New York Heart Association class III/IV 85.0%/6.7%, QRS 155.3 ± 26.6 ms, left ventricular ejection fraction 25.7 ± 7.7%]. The objective of the study was the sensitivity and false positive rate of the Physiological Diagnostic algorithm to predict heart failure events within the following month. After a mean follow-up of 17.0 ± 8.7 months, 130 (25.6%) patients experienced a heart failure event. The sensitivity of the algorithm to predict an event was 34% and the false positive rate was 2.4 per patient-year. Thirty-four per cent of heart failure events occurring within a month were predicted by the Physiological Diagnostic algorithm, and 2.4 alerts per patient per year were not followed by an heart failure event within the subsequent month.