PATIENTS AND METHODS: Materials and methods: The study included 165 patients admitted with STEMI within 12 hours of the onset of symptoms be¬tween January 2020 and August 2021. All patients underwent primary PCI according to the guidelines, followed by standard examination and treatment at the hospital. Blood samples for biomarker analysis (MMP-9, cTnI) and other routine tests were taken on admission. At six months after the event, all patients underwent clinical follow-up. Patients were contacted either by phone, through family members or their physicians 1 year after the event.
RESULTS: Results: The composite endpoint reached 9% of patients at one-year follow-up. ROC analysis of MMP-9 with the one-year com¬posite endpoint showed an AUC=0.711, with 91.7% sensitivity, and 47.4% specificity, 95% CI - 0.604 to 0.802, p=0.0037. ROC analysis of EQ-5D questionnaire with the one-year composite endpoint showed AUC = 0.73, the 95% CI - 0.624 to 0.820, p< 0.0195, with sensitivity 54.5% and specificity 94.7%. A logistic regression model showed a statistical association with the com¬posite endpoint at one year after STEMI in both EQ-5D (OR=0.89, 95% CI: 0.8313- 0.9725, p=0.0079) and MMP-9 (OR=1.0151, 95% CI:1.0001-1.0304, p=0.0481).
CONCLUSION: Conclusions: The level of MMP-9 more than 194 ng/ml and <55 points in EQ-5D predicts major adverse cardiovascular events, in¬cluding cardiovascular mortality and progressive heart failure, as well as other elements of composite endpoints, during a 1-year follow-up in patients with STEMI after primary PCI. Future studies are needed to clarify this result.
MATERIALS AND METHODS: The Ukrainian Multicentre Cardiogenic Shock Registry was analyzed, covering patient data from 2021 to 2022 in 6 major Ukrainian reperfusion centres from different parts of the country. Analysis was focusing on outcomes, therapeutic modalities and mortality predictors in AMI-CS patients.
RESULTS: We analyzed data from 221 consecutive patients with CS from 6 hospitals across Ukraine. The causes of CS were ST-elevated myocardial infarction (85.1%), non-ST-elevated myocardial infarction (5.9%), decompensated chronic heart failure (7.7%) and arrhythmia (1.3%), with a total in-hospital mortality rate for CS of 57.1%. The prevalence of CS was 6.3% of all AMI with reperfusion rate of 90.5% for AMI-CS. In 23.5% of cases, CS developed in the hospital after admission. Mechanical circulatory support (MCS) utilization was 19.9% using intra-aortic balloon pump alone. Left main stem occlusion, reperfusion deterioration, Charlson Comorbidity Index >4, and cardiac arrest were found to be independent predictors for hospital mortality in AMI-СS.
CONCLUSIONS: Despite the wide adoption of primary percutaneous coronary intervention as the main reperfusion strategy for AMI, СS remains a significant problem in LLMICs, associated with high in-hospital mortality. There is an unmet need for the development and implementation of a nationwide protocol for CS management and the creation of reference CS centers based on the country-wide reperfusion network, equipped with modern technologies for MCS.