5 Einträge gefunden

1. Head-to-Head Comparison of the Incremental Predictive Value of The Three Established Risk Markers, Hs-troponin I, C-Reactive Protein, and NT-proBNP, in Coronary Artery Disease

   1. Nikorowitsch, Julius
   2. Ojeda, Francisco
   3. Lackner, Karl J
   4. Schnabel, Renate B
   5. Blankenberg, Stefan
   6. Zeller, Tanja
   7. Karakas, Mahir

   2020 - Forschungsinformationssystem des UKE
2. Cardio-Renal Biomarker Soluble Urokinase-Type Plasminogen Activator Receptor Is Associated With Cardiovascular Death and Myocardial Infarction in Patients With Coronary Artery Disease Independent of Troponin, C-Reactive Protein, and Renal Function

   1. Nikorowitsch, Julius
   2. Borchardt, Tim
   3. Appelbaum, Sebastian
   4. Ojeda, Francisco
   5. Lackner, Karl J
   6. Schnabel, Renate B
   7. Blankenberg, Stefan

   2020 - Forschungsinformationssystem des UKE
3. Design and Rationale of the ERA-CVD Consortium PREMED-CAD-Precision Medicine in Coronary Artery Disease

   1. Shrivastava, Apurva
   2. Marzolla, Vincenzo
   3. Weidmann, Henri
   4. Caprio, Massimiliano
   5. Tregouet, David-Alexandre
   6. Zeller, Tanja
   7. Karakas, Mahir

   2020 - Forschungsinformationssystem des UKE
4. Iron Metabolism Contributes to Prognosis in Coronary Artery Disease: Prognostic Value of the Soluble Transferrin Receptor Within the AtheroGene Study

   1. Weidmann, Henri
   2. Bannasch, Johannes H
   3. Waldeyer, Christoph
   4. Shrivastava, Apurva
   5. Appelbaum, Sebastian
   6. Ojeda-Echevarria, Francisco Miguel
   7. Schnabel, Renate

   2020 - Forschungsinformationssystem des UKE
5. The ACCOST-HH Trial:An investigator-initiated trial, the placebo-controlled, double-blind, multi-centre, randomized trial to assess the efficacy and safety of the antibody AdreCizumab (HAM8101) against plaCebO in SubjecTs witH cardiogenic sHock, (ACCOST-HH) in progress is discussed

   1. Skurk, Carsten
   2. Rottbauer, Wolfgang
   3. Kessler, Mirjam
   4. Akin, Ibrahim
   5. Kluge, Stefan
   6. Burdelski, Christoph
   7. Blankenberg, Stefan

   2020 - Forschungsinformationssystem des UKE