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BACKGROUND: The response of the left ventricle to cardiogenic shock (CS) caused by right ventricular (RV) infarction and the effect of treatment with either vasoactive treatment or Impella RP are not well described. We sought to determine RV and left ventricular longitudinal strain (LS) by echocardiography after initiation of either Impella RP or vasoactive treatment for CS induced by right coronary artery embolization. METHODS AND RESULTS: CS was induced with microsphere embolization in the right coronary artery in 20 pigs. Shock was defined as a reduction in cardiac output of ≥50% and/or an SvO2 <30%. At the time of CS either Impella RP or vasoactive treatment (norepinephrine and milrinone) was initiated. Echocardiography and conductance measures were obtained at base-line, when CS was present, and 30, 90, and 180 minutes after induction of CS. Of 20 animals, 14 completed the protocol and were treated with either vasoactive treatment (n=7) or Impella RP (n=7); 6 animals died (3 in each group). In the RV there was a significantly higher LS with the vasoactive treatment compared with Impella RP (−7.6% [4.5] to −6.0% [5.2] vs −4.5% [6.6] to –14.2% [10.6]; P<0.006). Left ventricular LS improved with both treatments compared with shock, but with a larger effect (−9.4% [3.2] to −17.9% [3.6]) on LS with vasoactive treatment than Impella RP (−9.8% [3.1] to −12.3% [4.6]; P<0.001). We found a significant correlation between stroke work and RV LS (r=−0.60, P<0.001) and left ventricular LS (r=−0.62, P<0.001). CONCLUSIONS: We found significantly higher hemodynamic effects with vasoactive treatment compared with Impella RP in both the RV and left ventricular but at a cost of increased stroke work.

Background: Cardiogenic shock (CS) alters whole body metabolism and circulating biomarkers serve as prognostic markers in CS patients. Percutaneous ventricular assist devices (pVADs) unload the left ventricle by actively ejecting blood into the aorta. The goal of the present study was to identify alterations in circulating metabolites and transcripts in a large animal model that might serve as potential prognostic biomarkers in acute CS and additional left ventricular unloading by Impella ® pVAD support. Methods: CS was induced in a preclinical large animal model by injecting microspheres into the left coronary artery system in six pigs. After the induction of CS, mechanical pVAD support was implemented for 30 min total. Serum samples were collected under basal conditions, after the onset of CS, and following additional pVAD unloading. Circulating metabolites were determined by metabolomic analysis, circulating RNA entities by RNA sequencing. Results: CS and additional pVAD support alter the abundance of circulating metabolites involved in Aminoacyl-tRNA biosynthesis and amino acid metabolism. RNA sequencing revealed decreased abundance of the hypoxia sensitive miRNA-200b following the induction of CS, which was reversed following pVAD support. Conclusion: The hypoxamir miRNA-200b is a potential circulating marker that is repressed in CS and is restored following pVAD support. The early transcriptional response with increased miRNA-200b expression following only 30 min of pVAD support suggests that mechanical unloading alters whole body metabolism. Future studies are required to delineate the impact of serum miRNA-200b levels as a prognostic marker in patients with acute CS and pVAD unloading.

Acute myocardial infarction complicated by cardiogenic shock (AMICS) comprises a heterogeneous population with high mortality. Insight in timing and cause of death may improve understanding of the condition and aid individualization of treatment. This was assessed in a retrospective, multicenter observational cohort study based on 1,716 patients with AMICS treated during the period of 2010 to 2017, of whom 904 died before hospital discharge. Patients with AMICS were identified through national registries and review of individual patients charts. In 904 patients with AMICS who died before hospital discharge (median age 72 years [interquartile range (IQR) 63 to 79], 70% men), 342 (38%) had suffered out-of-hospital cardiac arrest. The most frequent cause of death was primary cardiac (54%), whereas 24% died of neurologic injury, and 20% of multiorgan failure (MOF). Time to death was 13 hours (IQR 5 to 43) for heart failure; 140 hours (IQR 95 to 209) in neurologic injury; and 137 hours (IQR 59 to 321) in MOF, p <0.001. The causes of death in patients presenting with out-of-hospital cardiac arrest (OHCA) were: neurologic injury in 57%, as opposed to 4% in patients not presenting with OHCA, p <0.001. In conclusion, in patients with AMICS, cause of death was mainly primary heart failure followed by neurologic injury and MOF. Median time from first medical contact to death was only 13 hours in patients dying from cardiac causes. The risk of dying of neurologic injury was low in patients without OHCA.

Background Prognosis models based on stepwise regression methods show modest performance in patients with cardiogenic shock (CS). Automated variable selection allows data-driven risk evaluation by recognizing distinct patterns in data. We sought to evaluate an automated variable selection method (least absolute shrinkage and selection operator, LASSO) for predicting 30-day mortality in patients with acute myocardial infarction and CS (AMICS) receiving acute percutaneous coronary intervention (PCI) compared to two established scores.Methods and results Consecutive patients with AMICS receiving acute PCI at one of two tertiary heart centres in Denmark 2010-2017. Patients were divided according to treatment with mechanical circulatory support (MCS); PCI-MCS cohort (n=220) versus PCI cohort (n=1180). The latter was divided into a development (2010-2014) and a temporal validation cohort (2015-2017). Cohort-specific LASSO models were based on data obtained before PCI. LASSO models outperformed IABP-SHOCK II and CardShock risk scores in discriminative ability for 30-day mortality in the PCI validation [receiver operating characteristics area under the curve (ROC AUC) 0.80 (95% CI 0.76-0.84) vs 0.73 (95% CI 0.69-0.77) and 0.70 (95% CI 0.65-0.75), respectively, PConclusion Data-driven prognosis models outperformed established risk scores in patients with AMICS receiving acute PCI and exhibited good discriminative abilities. Observations indicate a potential use of machinelearning to facilitate individualized patient care and targeted interventions in the future.[GRAPHICS]

Background:As existing results are diverging, and the patient population has changed significantly, this study sought to investigate the prognostic importance of the culprit lesion location in patients with cardiogenic shock due to myocardial infarction (AMICS), in a contemporary and unselected patient population.Methods:From the recruitment area of two tertiary heart centres in Denmark, covering 3.9 million citizens corresponding to two-thirds of the Danish population, all AMICS patients in the period of 2010-2017 were individually identified and validated through patient records.Results:A total of 1716 patients with AMICS were identified. Immediate revascularization was performed in 1482 patients (86%). Among these, a culprit lesion in the left main coronary artery (LM) was associated with the highest 30-day mortality rate (66%), p(logrank)Conclusions:Among AMICS patients undergoing revascularization, a LM culprit lesion was associated with the highest short-term mortality, whereas patients with a culprit lesion in the remaining coronary arteries had comparable and lower mortality rates. Multivessel disease patients had similar prognoses irrespective of percutaneous coronary intervention approach and whether partial or complete revascularization was achieved.

BACKGROUND: Several plasma proteins have been suggested as markers for a variety of cardiovascular conditions but fail to qualify in independent patient cohorts. This may relate to interference of medication on plasma protein concentrations. We used proteomics to identify plasma proteins that changed in concentration with heparin administration and therefore potentially may confound their evaluation as biomarkers in situations in which heparin is used.METHODS: We used a proteomic approach based on isobaric tagging and nano-LC-MS/MS analysis to quantify several hundred proteins in a discovery study in which individual plasma samples from 9 patients at intravascular ultrasound follow-up 12 months after an acute myocardial infarction before heparin administration and 2, 15, and 60 min after heparin administration; we validated our findings in 500 individual plasma samples obtained at admission from patients with suspected ST segment elevation myocardial infarction (STEMI), of whom 363 were treated with heparin before admission.RESULTS: In the discovery study, 25 of 653 identified plasma proteins displayed a changed concentration after heparin administration (Bonferroni-corrected P value at P < 7.66 × 10-5). Fourteen of the proteins changed significantly among heparin-treated patients in the validation study (nominal significance level of P < 6.92 × 10-5). Among heparin-affected proteins in both the discovery study and the validation study were midkine, spondin 1, secreted frizzled-like protein 1, lipoprotein lipase, and follistatin, all previously associated with STEMI.CONCLUSIONS: Medications such as heparin administration given before blood sampling may confound biomarker discovery and should be carefully considered in such studies.

Cardiogenic shock is one of the leading causes of death following acute myocardial infarction affecting 10% of patients with large myocardial infarcts with a subsequent mortality rate of 50%. Here we describe a large porcine model of acute ischemic cardiogenic shock. Acute left or right ventricular failure can be achieved with close to a 100% success rate by stepwise injection of microspheres into the left or right coronary artery, respectively, and the method allows for titration of heart failure to a prespecified level.