Cardiogenic shock is a state of reduced cardiac output leading to hypotension, pulmonary congestion, and hypoperfusion of tissues and vital organs. Despite the advances in intensive care over the last years, the morbidity and mortality of patients remain high. The available studies of patients with cardiogenic shock suggest a connection between clinical variables, the level of biomarkers, the results of imaging investigations, strategies of management and the outcome of this group of patients. The management of patients with cardiogenic shock initially complicating acute myocardial infarction is challenging, and the number of studies in this area is growing fast. The purpose of this review is to summarize the currently available evidence on cardiogenic shock initially complicating acute myocardial infarction with particular attention to predictors of prognosis, focusing on laboratory variables (established and new), and to discuss the practical implementation. Currently available scoring systems developed during the past few decades predict the clinical outcome of this group of patients using some of the established biomarkers among other variables. With the new laboratory biomarkers that have shown their predictive value in cardiogenic shock outcomes, a new design of scoring systems would be of interest. Identifying high-risk patients offers the opportunity for early decision-making.
Introduction: COVID-19 infection has increased the risk of thrombosis, and the pandemic has impacted the utilization of healthcare services. Hypothesis: The study aims to investigate the consequences of the COVID-19 pandemic on the incidence of hospitalization for acute myocardial infarction (IH-AMI) and out-of-hospital cardiovascular deaths rate (OH-CVD). Methods: The analysis was done on data collected in the National Database of Death Records, the National Health Information System, and the Information System of Infectious Diseases. Incidence and number of deaths were expressed per 100 000 inhabitants. For comparison of time periods incidence rate ratio was applied. Over-mortality was described as a change in % against the reference period 2016-2019. Results: The population for the analysis consisted of 50,745 AMI cases and 204,392 OH-deaths from any cause. In the pandemic year (vs. 2016-2019 period), there was a significant decrease in AMI hospitalizations with an incidence rate ratio of 0.949 (0.911;0.989) for acute STEMI and 0.949 (0.911;0.989) for NSTEMI, respectively. A significant relationship was found between the decrease in acute STEMI hospitalizations and the number of COVID-infected patients. The risk of OH-CVD increased significantly in 2020 compared to the mean death rates in 2016-2019. The analysis of over-mortality against the reference period 2016-2019 shows the increase of OH-CVD associated with the decrease in hospitalization for acute STEMI significantly related to the number of COVID19 cases (Figure). Conclusions: The COVID-19 pandemic significantly affected the number of IH-AMI while increasing the incidence of OH-CVD. These changes were directly impacted by the number of infected in the population. It is, therefore, necessary to focus efforts on informing the population about the safety of hospitalization and ensuring full availability of health care services even in pandemic times.
Introduction: Despite modern treatment methods, cardiogenic shock mortality complicates acute myocardial infarction (CS-AMI) remains high. Hypothesis: The study of factors affecting CS-AMI outcomes is essential. Methods: Data from the all-comers' National Registry of Coronary Interventions from 2016 to 2020 were evaluated. Of 50,745 patients with AMI (STEMI/NSTEMI) 2,822 patients (5.6%) had initially CS (72.6% men, mean age 67.6 (12) yrs). The study analyzed the predictive value of such traditional cardiovascular risk factors related to the MI (sex, age, previous PCI or CABG, renal failure, localization of MI, time delay to reperfusion), comorbidities (expressed by the Deyo modification of Charlson comorbidity index), the severity of the condition on admission (mechanical ventilation, resuscitation), the extent of coronary artery disease and procedural success (the number of affected vessels, TIMI flow before and after PCI, LM disease), and such untraditional factors as season, weekday and day time. Multivariable analysis was used to identify independent predictors of prognosis in patients with CS-AMI. Results: The 30days mortality was 50.7%. As independent predictors of prognosis were identified age (older 80yrs, OR 4.97;95% CI 3.73-6.61), resuscitation (1.34; 1.07-1.67), mechanical ventilation (1.39;1.10-1.75), 3-vessel disease 1.39;1.12-1.72), left main disease (1.26; 1.01-1.57), and post-procedural TIMI flow lower 3 (1.14; 0.79-1.66). The independent predictive value of the comorbidity index was not confirmed (1.062;0.796-1.417). The numerically higher mortality rate was shown during a) autumn time (54.2%) and winter (51.8%), b) weekend (51.45%) (vs. working week (50.03%)), c) working hours (49.3%) (vs. the after-working hours (47.6%)). The multivariate analysis did not confirm the independent predictive value of these variables. Conclusions: Mortality of CS-AMI patients is significantly and independently influenced by factors confounding their circulatory instability, such as resuscitation and respiratory failure, the extent of coronary disease, and the success of reperfusion therapy. The independent impact of comorbidity and non-traditional factors on the prognosis of these patients has not been confirmed.
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