On-admission Serum High-Sensitivity C-Reactive Protein Level Independently Predicts In-Hospital Mortality and Adverse Cardiovascular Events in ST-elevation Acute Myocardial Infarction

Background: Inflammatory biomarkers are associated with adverse cardiovascular events during ST-elevation acute myocardial infarction (STEMI). We aimed to investigate the role of inflammatory biomarkers, high-sensitivity C-reactive protein (hs-CRP), and soluble ST-2 (sST2), for prediction of adverse cardiovascular events in STEMI. Methods: This was a prospective cohort study that consecutively enrolled patients with STEMI. Subjects were observed during hospitalization until discharge or fatal events happened. Adverse cardiovascular event was a compilation of cardiac mortality, acute heart failure, cardiogenic shock, reinfarction, and malignant ventricular arrhythmia. Blood samples were withdrawn on admission and inflammatory biomarkers (hs-CRP and sST2) were measured. The receiver operator characteristics curve and multivariable analysis were performed to determine which inflammatory biomarkers predict in-hospital adverse cardiovascular events and mortality. Result: Of 166 subjects, the in-hospital adverse cardiovascular events occurred in 41 subjects (24.6%) and mortality occurred in 16 subjects (9.6%). Subjects with in-hospital adverse cardiovascular events and mortality had a significantly higher hs-CRP level, but comparable sST2 level than subjects without events. The hs-CRP level was the most precise biomarkers to predict in-hospital adverse cardiovascular events (hs-CRP cut-off ≥2.75 mg/L) and mortality (hs-CRP cut-off ≥7 mg/L). Multivariable analysis indicated hs-CRP ≥2.75 mg/L as an independent predictor for in-hospital adverse cardiovascular events (adjusted odds ratio [OR]: 2.79, 95% confidence interval [CI]: 1.05-7.39, P = .039) and hs-CRP ≥7 mg/L for mortality (adjusted OR: 5.45, 95% CI: 1.13-26.18, P = .034) in STEMI. Conclusion: On admission, hs-CRP level independently predicted in-hospital adverse cardiovascular events, at cut-off level ≥2.75 mg/L, and mortality, at cut-off level ≥7 mg/L, in STEMI patients.

Myocardial Work and long-term prognosis in patients after ST-segment elevation acute myocardial infarction

Background Left ventricular (LV) global longitudinal strain has demonstrated incremental prognostic value over LV ejection fraction (LVEF) in patients with ST-segment-elevation acute myocardial infarction. However, LV global longitudinal strain (GLS) does not take into consideration the effect of afterload. Myocardial work (MW) by speckle-tracking echocardiography integrates blood pressure measurements (afterload) with LV GLS and it has been recently demonstrated that Global Work Efficiency (GWE) is associated with long-term all-cause mortality. It remains to be demonstrated if MW indices are associated with hard cardiovascular endpoints. The present study aimed to investigate the prognostic value of global LV MW obtained from pressure-strain loops with echocardiography in patients with ST-segment-elevation myocardial infarction. Methods A total of 100 consecutive ST-segment-elevation myocardial infarction patients (mean age, 61±12 years; 75% men) that survived to discharge were retrospectively analysed. LVEF, GLS and all LVMW indices were measured by transthoracic echocardiography before discharge (4.6±2.0 days after admission). All patients had at least a two-year follow-up (mean follow-up of 833±172 days). Outcomes: all-cause mortality, major acute cardiovascular events (a composite of cardiovascular mortality, myocardial infarction, stroke, unplanned cardiovascular admission) and heart failure hospitalization. Results In the two-year follow-up, 6 patients died, there were 17 patients with MACE, and 3 patients were hospitalized with heart failure. We confirmed that for all-cause mortality, GWE showed higher discrimination, compared to GLS (Table 1), with a cut-off of 83% (log-rank <0,001). For MACE, the performance of all methods is suboptimal, with an AUC <0.65 for all variables, except for GLS. For heart failure admission, performance is slightly better, but GLS is still the better parameter to predict this event. Conclusions LVGWE is a better predictor of all-cause mortality compared to GLS, but MW indices failed to demonstrate a prognostic impact in long-term cardiovascular events. Prospective studies are warranted to confirm this finding. FUNDunding Acknowledgement Type of funding sources: None. Table 1