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Background: In patients with suspected myocardial infarction (MI), we sought to validate a machine learning-driven, multibiomarker panel for prediction of incident major adverse cardiovascular events (MACE). Methodology & results: A previously described prognostic panel for MACE consisting of four biomarkers was measured in 748 patients with suspected MI. The investigated end point was incident MACE within 1 year. The prognostic value of a continuous score and an optimal cut-off was investigated. The area under the curve was 0.86 for the overall model. Using the optimal cut-off resulted in a negative predictive value of 99.4% for incident MACE. Patients with an elevated prognostic score were at high risk for MACE. Conclusion: Among patients with suspected MI, we validated a multibiomarker panel for predicting 1-year MACE. Clinical Trial Registration: NCT02355457 (ClinicalTrials.gov).

Aim: This multicenter study investigated the effect of renal denervation therapy (RDN) on the heart failure related biomarkers NT-proBNP, ST-2, galectin-3 and hs-TnI., Patients & Methods: We included 157 patients with resistant hypertension undergoing RDN. Blood sampling was performed before and 6 months after RDN., Results: Six months after RDN systolic blood pressure (BP) was reduced by 24 mmHg. Biomarker concentrations were not changed after RDN, except a small increase of hs-TnI by 0.3 pg/ml. In individuals with high baseline BP, we observed a BP reduction of 45 mmHg and a decrease of hs-TnI concentrations by 1.2 pg/ml., Conclusion: In this multicenter analysis RDN did significantly reduce systolic BP. However, NT-proBNP, ST-2, galectin-3 and hs-TnI did not correspond to BP reduction 6 months after RDN.