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[FG] Boeddinghaus Jasper

Publications

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Dugar, Franja et al. (2026) ‘Diagnostic and prognostic utility of endocan in suspected myocardial infarction: an international cohort study’, Clinica Chimica Acta, 578. Available at: https://doi.org/10.1016/j.cca.2025.120510.

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Mair, J. et al. (2025) ‘Best of cardiovascular biomarkers’, European Heart Journal: Acute Cardiovascular Care [Preprint]. Available at: https://doi.org/10.1093/ehjacc/zuaf120.

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Taggart, C. et al. (2025) ‘The assessment and management of patients with type 2 myocardial infarction: an international Delphi study’, European Heart Journal - Quality of Care and Clinical Outcomes [Preprint]. Available at: https://doi.org/10.1093/ehjqcco/qcaf069.

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Papachristou, Androniki et al. (2025) ‘Terminal renal failure as a contributor to high-sensitivity cardiac troponin T elevations: Insights from patients undergoing renal transplantation’, Heart. 06.03.2025, 111(17), pp. 835–841. Available at: https://doi.org/10.1136/heartjnl-2024-324686.

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Cullen, L. et al. (2025) ‘High-sensitivity point-of-care measurement of cardiac troponin’, European Heart Journal [Preprint]. Available at: https://doi.org/10.1093/eurheartj/ehaf407.

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Reichl, Jakob J. et al. (2025) ‘Association of Body Mass Index With Procedural Success and Outcomes in Patients undergoing Transcatheter Aortic Valve Implantation’, American Journal of Cardiology, 248, pp. 67–72. Available at: https://doi.org/10.1016/j.amjcard.2025.04.012.

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Gherca, Stefan, Boeddinghaus, Jasper and Haaf, Philip (2025) ‘Profound iodine enhancement of the myocardium on a native CT scan one hour after invasive coronary angiography and revascularization’, European Heart Journal [Preprint]. Available at: https://doi.org/10.1093/eurheartj/ehaf490.

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Bima, Paolo et al. (2025) ‘Derivation and Validation of ESC-0/1-h Algorithm for High-Sensitivity Troponin T and I in Cancer Patients’, JACC: Advances, 4. Available at: https://doi.org/10.1016/j.jacadv.2025.101821.

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Stolte, T. et al. (2025) ‘Non-Invasive Hemodynamic Monitoring in Transcatheter Aortic Valve Implantation’, Journal of Clinical Medicine, 14(11), p. 3794. Available at: https://doi.org/10.3390/jcm14113794.

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Wildi, K. et al. (2025) ‘Possible Misdiagnosis of Myocardial Infarction Using Regulatory-Approved and Close-to-Bioequivalent Upper Limits of Normal for Cardiac Troponin’, Journal of the American Heart Association , 14(10). Available at: https://doi.org/10.1161/jaha.124.040468.

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Moretti, Enrico et al. (2025) ‘Takotsubo Syndrome and Spontaneous Coronary Artery Dissection’, Jacc Case Reports, 30(9). Available at: https://doi.org/10.1016/j.jaccas.2025.103300.

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Taggart, C. et al. (2025) ‘Targeting Investigation and Treatment in Type 2 Myocardial Infarction: A Pilot Randomized Controlled Trial’, 4. Available at: https://doi.org/10.1016/j.jacadv.2025.101738.

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Minder, Judith et al. (2025) ‘Impact of new-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction’, Journal of Interventional Cardiac Electrophysiology, 68(3), pp. 655–665. Available at: https://doi.org/10.1007/s10840-024-01941-5.

Koechlin, L. et al. (2025) ‘Impact of Food and Drug Administration Regulations on the Performance of Guideline-Recommended Pathways With an Approved Point-of-Care High-Sensitivity Cardiac Troponin I Assay’, Journal of the American Heart Association , 14(6). Available at: https://doi.org/10.1161/jaha.124.039164.

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Jasper Boeddinghaus et al. (2025) ‘Implications of a new clinical classification of acute myocardial infarction’, European Heart Journal: Acute Cardiovascular Care, 14(3), pp. 131–141. Available at: https://doi.org/10.1093/ehjacc/zuaf002.

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Lee, J.A. et al. (2025) ‘Insulin-like growth factor binding protein-3 (IGFBP-3): a biomarker of coronary artery disease induced myocardial ischaemia’, 5. Available at: https://doi.org/10.1093/ehjopen/oeaf028.

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Reichl, Jakob J. et al. (2025) ‘Prognostic impact of atrial fibrillation in patients undergoing transcatheter aortic valve implantation’, Heart Rhythm O2, 6(3), pp. 273–279. Available at: https://doi.org/10.1016/j.hroo.2024.12.016.

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Stolte, Thorald et al. (2025) ‘The impact of myocardial injury on outcomes in TAVI patients’, Clinical Research in Cardiology, 114(3), pp. 385–394. Available at: https://doi.org/10.1007/s00392-024-02585-1.

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Chapman, Andrew R et al. (2025) ‘Type 2 myocardial infarction: challenges in diagnosis and treatment’, European Heart Journal, 46(6), pp. 504–517. Available at: https://doi.org/10.1093/eurheartj/ehae803.

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Wagener, Max, Boeddinghaus, Jasper and Leibundgut, Gregor (2025) ‘When 3 Fundamentals of Disaster Meet During Elective PCI’, JACC: Case Reports, 30(3), p. 103126. Available at: https://doi.org/10.1016/j.jaccas.2024.103126.

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Koechlin, Luca et al. (2025) ‘Diagnostic and Prognostic Performance of High-Sensitivity Cardiac Troponin T vs I’, Journal of the American College of Cardiology, 85(4), pp. 381–385. Available at: https://doi.org/10.1016/j.jacc.2024.10.076.

Rubini Giménez, María et al. (2025) ‘Consecuencias clínicas de los límites superiores de referencia ajustados al sexo de la troponina cardiaca I ultrasensible en el diagnóstico del infarto agudo de miocardio Clinical implications of sex-specific upper reference limits for high-sensitivity cardiac troponin I in myocardial infarction diagnosis’, Revista Espanola de Cardiologia. 23.07.2025, 78(12), pp. 1064–1075. Available at: https://doi.org/10.1016/j.recesp.2025.05.001.

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Bima, P. et al. (2024) ‘Derivation and external validation of new ESC 0/1-h algorithm cut-offs for high-sensitivity troponin T and I in the cancer population’, European Heart Journal, 45(Supplement_1). Available at: https://doi.org/10.1093/eurheartj/ehae666.3203.

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Boeddinghaus, J. et al. (2024) ‘Implications of a new clinical classification of acute myocardial infarction’, European Heart Journal, 45(Supplement_1). Available at: https://doi.org/10.1093/eurheartj/ehae666.1685.

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Crisanti, L. et al. (2024) ‘Growth differentiation factor-15 and 5-years cardiovascular risk in chest pain patients presenting to the emergency department: a multicenter cohort study’, European Heart Journal, 45(Supplement_1). Available at: https://doi.org/10.1093/eurheartj/ehae666.1579.

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Glaeser, J. et al. (2024) ‘Impact of discordance in cardiac troponin T versus I on the performance of triage pathways for myocardial infarction’, European Heart Journal, 45(Supplement_1). Available at: https://doi.org/10.1093/eurheartj/ehae666.1604.

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Spagnuolo, C et al. (2024) ‘Sex differences in clinical characteristics, phenotypes, management, and long-term outcomes of myocardial injury: an international cohort study’, European Heart Journal, 45(Supplement_1). Available at: https://doi.org/10.1093/eurheartj/ehae666.1324.

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Hammerer-Lercher, A. et al. (2024) ‘A-018 Diagnostic Performance of the Novel Beckman-Coulter NT-proBNP-assay in the Early Diagnosis of Acute Heart Failure’, Clinical Chemistry, 70(Supplement_1). Available at: https://doi.org/10.1093/clinchem/hvae106.018.

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Li, Z., Boeddinghaus, J. and Mills, N.L. (2024) ‘Cardiac Troponin I or T for the Diagnosis of Myocardial Infarction and Prediction of Outcomes—Does It Matter?’, Clinical Chemistry, 70(10), pp. 1197–1199. Available at: https://doi.org/10.1093/clinchem/hvae123.

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Albus, Miriam et al. (2024) ‘Combining anatomical and biochemical markers in the detection and risk stratification of coronary artery disease’, European Heart Journal Cardiovascular Imaging. 09.04.2024, 25(9), pp. 1197–1205. Available at: https://doi.org/10.1093/ehjci/jeae093.

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Koechlin, Luca et al. (2024) ‘Clinical and Analytical Performance of a Novel Point-of-Care High-Sensitivity Cardiac Troponin I Assay’, Journal of the American College of Cardiology, 84(8), pp. 726–740. Available at: https://doi.org/10.1016/j.jacc.2024.05.056.

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Than, Martin P et al. (2024) ‘Clinical decision support using machine learning and cardiac troponin for the diagnosis of myocardial infarction’, European Heart Journal: Acute Cardiovascular Care, 13(8), pp. 634–636. Available at: https://doi.org/10.1093/ehjacc/zuae085.

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Lopez-Ayala, Pedro et al. (2024) ‘External validation of the myocardial-ischaemic-injury-index machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study’, The Lancet Digital Health, 6(7), pp. e480–e488. Available at: https://doi.org/10.1016/s2589-7500(24)00088-8.

Reichl, Jakob Johannes et al. (2024) ‘Prognostic Impact of Left Ventricular Ejection Fraction Improvement after Transcatheter Aortic Valve Replacement’, Journal of Clinical Medicine, 13(13). Available at: https://doi.org/10.3390/jcm13133639.

Glarner, Noemi et al. (2024) ‘Association of preoperative beta-blocker use and cardiac complications after major noncardiac surgery: a prospective cohort study’, British Journal of Anaesthesia, 132(6), pp. 1194–1203. Available at: https://doi.org/10.1016/j.bja.2024.02.023.

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Lee, Kuan Ken et al. (2024) ‘Clinical decision support using machine learning and natriuretic peptides for the diagnosis of acute heart failure’, European Heart Journal: Acute Cardiovascular Care, 13(6), pp. 515–516. Available at: https://doi.org/10.1093/ehjacc/zuae064.

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Li, Ziwen et al. (2024) ‘Uniform or Sex-Specific Cardiac Troponin Thresholds to Rule Out Myocardial Infarction at Presentation’, Journal of the American College of Cardiology, 83(19), pp. 1855–1866. Available at: https://doi.org/10.1016/j.jacc.2024.03.365.

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Boeddinghaus, Jasper et al. (2024) ‘Machine Learning for Myocardial Infarction Compared With Guideline-Recommended Diagnostic Pathways’, Circulation, 149(14), pp. 1090–1101. Available at: https://doi.org/10.1161/circulationaha.123.066917.

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Boeddinghaus, Jasper et al. (2024) ‘Machine Learning for Myocardial Infarction Compared With Guideline-Recommended Diagnostic Pathways’, Circulation, 149(14), pp. 1090–1101. Available at: https://doi.org/10.1161/circulationaha.123.066917.

Jobs, Alexander et al. (2024) ‘GRACE scores or high-sensitivity troponin for timing of coronary angiography in non-ST-elevation acute coronary syndromes’, Clinical Research in Cardiology, 113(4), pp. 533–545. Available at: https://doi.org/10.1007/s00392-023-02258-5.

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Boeddinghaus, Jasper, Chapman, Andrew R. and Henriksen, Peter A. (2024) ‘Acute chest pain in a young man with low cardiovascular risk profile’, Heart, 110(4). Available at: https://doi.org/10.1136/heartjnl-2023-323398.

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Pedro Lopez-Ayala et al. (2024) ‘External validation of the myocardial-ischaemic-injuryindex machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study’, Lancet Digit Health [Preprint].

Segeroth, Martin et al. (2024) ‘Noninvasive Assessment of Cardiopulmonary Hemodynamics Using Cardiovascular Magnetic Resonance Pulmonary Transit Time’, International Journal of Biomedical Imaging, 2024(1). Available at: https://doi.org/10.1155/2024/5691909.

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Lowry, Matthew T. H. et al. (2023) ‘Troponin in early presenters to rule out myocardial infarction’, European Heart Journal, 44(30), pp. 2846–2858. Available at: https://doi.org/10.1093/eurheartj/ehad376.

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Fernández-Cisnal A et al. (2023) ‘Performance of an artificial intelligence chatbot with web search capability in cardiology-related assistance: a simulation study.’ Available at: https://doi.org/10.1016/j.rec.2023.06.008.

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Rubini Gimenez M et al. (2023) ‘Implementation of the ESC 0 h/1 h high-sensitivity troponin algorithm for decision-making in the emergency department.’, Revista espanola de cardiologia (English ed.), 76(6), pp. 468–472. Available at: https://doi.org/10.1016/j.rec.2023.01.002.

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Taggart, Caelan et al. (2023) ‘Improving Risk Stratification for Patients With Type 2 Myocardial Infarction’, Journal of the American College of Cardiology, 81(2), pp. 156–168. Available at: https://doi.org/10.1016/j.jacc.2022.10.025.

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Boeddinghaus J et al. (2021) ‘Diagnostic Performance of the European Society of Cardiology 0/1-h Algorithms in Late Presenters’, Journal of the American College of Cardiology. Elsevier Inc., 77(9). Available at: https://doi.org/10.1016/j.jacc.2021.01.004.

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Boeddinghaus, Jasper et al. (2020) ‘Early Diagnosis of Myocardial Infarction With Point-of-Care High-Sensitivity Cardiac Troponin I’, Journal of the American College of Cardiology, 75(10), pp. 1111–1124. Available at: https://doi.org/10.1016/j.jacc.2019.12.065.

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Neumann JT et al. (2019) ‘Application of high-sensitivity troponin in suspected myocardial infarction’, New England Journal of Medicine, 380(26), pp. 2529–2540. Available at: https://doi.org/10.1056/nejmoa1803377.

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Boeddinghaus, Jasper et al. (2019) ‘Clinical Use of a New High-Sensitivity Cardiac Troponin I Assay in Patients with Suspected Myocardial Infarction’, Clinical Chemistry, 65(11), pp. 1426–1436. Available at: https://doi.org/10.1373/clinchem.2019.304725.

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Boeddinghaus J et al. (2019) ‘High-sensitivity cardiac troponin i assay for early diagnosis of acute myocardial infarction’, Clinical Chemistry, 65(7), pp. 893–904. Available at: https://doi.org/10.1373/clinchem.2018.300061.

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Koechlin, Luca et al. (2019) ‘Early Diagnosis of Myocardial Infarction in Patients With a History of Coronary Artery Bypass Grafting’, Journal of the American College of Cardiology, 74(4), pp. 587–589. Available at: https://doi.org/10.1016/j.jacc.2019.05.044.

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Badertscher, Patrick et al. (2018) ‘Direct Comparison of the 0/1h and 0/3h Algorithms for Early Rule-Out of Acute Myocardial Infarction’, Circulation, 137(23), pp. 2536–2538. Available at: https://doi.org/10.1161/circulationaha.118.034260.

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Boeddinghaus, Jasper et al. (2018) ‘Impact of age on the performance of the ESC 0/1h-algorithms for early diagnosis of myocardial infarction’, European heart journal, 39(42), pp. 3780–3794. Available at: https://doi.org/10.1093/eurheartj/ehy514.

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