[FG] Boeddinghaus Jasper
Publications
33 found
Show per page
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 [Preprint]. Available at: https://doi.org/10.1161/jaha.124.039164.
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 [Preprint]. Available at: https://doi.org/10.1161/jaha.124.039164.
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, p. Online ahead of print. Available at: https://doi.org/10.1136/heartjnl-2024-324686.
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, p. Online ahead of print. Available at: https://doi.org/10.1136/heartjnl-2024-324686.
Haaf, P. et al. (2025) ‘Heatstroke-induced thromboembolic myocardial infarction’, European Heart Journal - Cardiovascular Imaging [Preprint]. Available at: https://doi.org/10.1093/ehjci/jeaf053.
Haaf, P. et al. (2025) ‘Heatstroke-induced thromboembolic myocardial infarction’, European Heart Journal - Cardiovascular Imaging [Preprint]. Available at: https://doi.org/10.1093/ehjci/jeaf053.
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.
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.
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.
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.
Jasper Boeddinghaus et al. (2025) ‘Implications of a new clinical classification of acute myocardial infarction’, European Heart Journal Acute Cardiovascular Care [Preprint]. Available at: https://doi.org/10.1093/ehjacc/zuaf002.
Jasper Boeddinghaus et al. (2025) ‘Implications of a new clinical classification of acute myocardial infarction’, European Heart Journal Acute Cardiovascular Care [Preprint]. Available at: https://doi.org/10.1093/ehjacc/zuaf002.
Minder, Judith et al. (2024) ‘Impact of new-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction’, Journal of Interventional Cardiac Electrophysiology [Preprint]. Available at: https://doi.org/10.1007/s10840-024-01941-5.
Minder, Judith et al. (2024) ‘Impact of new-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction’, Journal of Interventional Cardiac Electrophysiology [Preprint]. Available at: https://doi.org/10.1007/s10840-024-01941-5.
Stolte, Thorald et al. (2024) ‘The impact of myocardial injury on outcomes in TAVI patients’, Clinical Research in Cardiology [Preprint]. Available at: https://doi.org/10.1007/s00392-024-02585-1.
Stolte, Thorald et al. (2024) ‘The impact of myocardial injury on outcomes in TAVI patients’, Clinical Research in Cardiology [Preprint]. Available at: https://doi.org/10.1007/s00392-024-02585-1.
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.
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.
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.
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.
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 [Preprint]. Available at: https://doi.org/10.1093/ehjacc/zuae085.
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 [Preprint]. Available at: https://doi.org/10.1093/ehjacc/zuae085.
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.
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.
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.
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.
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), p. 3639. Available at: https://doi.org/10.3390/jcm13133639.
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), p. 3639. Available at: https://doi.org/10.3390/jcm13133639.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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].
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].
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.
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.
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.
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.
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.
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.
Doudesis, Dimitrios et al. (2023) ‘Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations’, Nature Medicine, 29(5), pp. 1201–1210. Available at: https://doi.org/10.1038/s41591-023-02325-4.
Doudesis, Dimitrios et al. (2023) ‘Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations’, Nature Medicine, 29(5), pp. 1201–1210. Available at: https://doi.org/10.1038/s41591-023-02325-4.
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.
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.
Boeddinghaus J et al. (2021) ‘Diagnostic Performance of the European Society of Cardiology 0/1-h Algorithms in Late Presenters’, 77(9). Available at: https://doi.org/10.1016/j.jacc.2021.01.004.
Boeddinghaus J et al. (2021) ‘Diagnostic Performance of the European Society of Cardiology 0/1-h Algorithms in Late Presenters’, 77(9). Available at: https://doi.org/10.1016/j.jacc.2021.01.004.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.