Predicted clinical and economic burden associated with reduction in access to acute coronary interventional care during the COVID-19 lockdown in two European countries

Abstract Aims As a consequence of untimely or missed revascularization of ST-elevation myocardial infarction (STEMI) patients during the COVID-19 pandemic, many patients died at home or survived with serious sequelae, resulting in potential long-term worse prognosis and related health-economic implications. This analysis sought to predict long-term health outcomes [survival and quality-adjusted life-years (QALYs)] and cost of reduced treatment of STEMIs occurring during the first COVID-19 lockdown. Methods and results Using a Markov decision-analytic model, we incorporated probability of hospitalization, timeliness of PCI, and projected long-term survival and cost (including societal costs) of mortality and morbidity, for STEMI occurring during the first UK and Spanish lockdowns, comparing them with expected pre-lockdown outcomes for an equivalent patient group. STEMI patients during the first UK lockdown were predicted to lose an average of 1.55 life-years and 1.17 QALYs compared with patients presenting with a STEMI pre-pandemic. Based on an annual STEMI incidence of 49 332 cases, the total additional lifetime costs calculated at the population level were £36.6 million (€41.3 million), mainly driven by costs of work absenteeism. Similarly in Spain, STEMI patients during the lockdown were expected to survive 2.03 years less than pre-pandemic patients, with a corresponding reduction in projected QALYs (−1.63). At the population level, reduced PCI access would lead to additional costs of €88.6 million. Conclusion The effect of a 1-month lockdown on STEMI treatment led to a reduction in survival and QALYs compared to the pre-pandemic era. Moreover, in working-age patients, untimely revascularization led to adverse prognosis, affecting societal productivity and therefore considerably increasing societal costs. Graphical Abstract Graphical Abstract Lockdown leads to suboptimal treatment which translates into poor outcomes and increased societal costs.