82 results on '"Hennings E"'
Search Results
2. Biomarkers to predict improvement of left ventricular ejection fraction after atrial fibrillation ablation
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Serban, T, primary, Hennings, E, additional, Strebel, I, additional, Knecht, S, additional, Du Fay De Lavallaz, J, additional, Krisai, P, additional, Arnet, R, additional, Voellmin, G, additional, Osswald, S, additional, Sticherling, C, additional, Kuehne, M, additional, and Badertscher, P, additional
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- 2024
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3. Association between blood pressure and new brain white matter lesions in atrial fibrillation patients
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Carmine, D, primary, Aeschbacher, S, additional, Coslovsky, M, additional, Hennings, E, additional, Krisai, P, additional, Rodondi, N, additional, Stauber, A, additional, Mueller, A, additional, Moschovitis, G, additional, Meyer-Zuern, C, additional, Sinnecker, T, additional, Osswald, S, additional, Conen, D, additional, Bonati, L, additional, and Kuehne, M, additional
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- 2023
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4. Coffee consumption and adverse outcome events in patients with atrial fibrillation
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Iten, V, primary, Coslovsky, M, additional, Hennings, E, additional, Reichlin, T, additional, Rodondi, N, additional, Mueller, A, additional, Beer, J, additional, Conte, G, additional, Chocano, P, additional, Bonati, L, additional, Kuehne, M, additional, Osswald, S, additional, Aeschbacher, S, additional, and Zuern, C, additional
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- 2023
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5. Kidney function by creatinine and cystatin c and adverse cardiovascular outcomes in patients with atrial fibrillation
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Schweigler, A, primary, Hennings, E, additional, Aeschbacher, S, additional, Rodondi, N, additional, Stauber, A, additional, Moschovitis, G, additional, Bolt, L, additional, Mueller, A, additional, Coslovsky, M, additional, Meyer-Zuern, C, additional, Bonati, L E O H, additional, Conen, D, additional, Osswald, S, additional, Kuehne, M, additional, and Krisai, P, additional
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- 2023
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6. Assessment of the atrial fibrillation burden in Holter ECG recordings using artificial intelligence
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Hennings, E, primary, Coslovsky, M, additional, Paladini, R E, additional, Aeschbacher, S, additional, Knecht, S, additional, Schlageter, V, additional, Krisai, P, additional, Badertscher, P, additional, Sticherling, C, additional, Osswald, S, additional, Kuehne, M, additional, and Zuern, C S, additional
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- 2023
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7. Association of cardiac rhythm with cognitive performance in atrial fibrillation patients
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Mosher, L, primary, Coslovsky, M, additional, Hennings, E, additional, Aeschbacher, S, additional, Paladini, R E, additional, Bonati, L H, additional, Conen, D, additional, Kuehne, M, additional, Osswald, S, additional, and Meyer-Zurn, C, additional
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- 2023
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8. Brain lesions and cognitive decline in patients with atrial fibrillation
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Hennings, E, primary, Bhend, K, additional, Paladini, R E, additional, Aeschbacher, S, additional, Coslovsky, M, additional, Rodondi, N, additional, Beer, J H, additional, Auricchio, A, additional, Moschovitis, G, additional, Chocano, P, additional, Sinnecker, T, additional, Conen, D, additional, Kuehne, M, additional, Bonati, L H, additional, and Osswald, S, additional
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- 2023
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9. Bone morphogenetic protein 10 as a predictor for recurrent atrial fibrillation after catheter ablation
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Hennings, E, primary, Aeschbacher, S, additional, Coslovsky, M, additional, Paladini, R E, additional, Spies, F, additional, Voellmin, G, additional, Conen, D, additional, Zuern, C S, additional, Krisai, P, additional, Badertscher, P, additional, Sticherling, C, additional, Osswald, S, additional, Knecht, S, additional, and Kuehne, M, additional
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- 2023
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10. Bone morphogenetic protein 10 as predictor for adverse outcomes in patients with atrial fibrillation
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Hennings, E, primary, Blum, S, additional, Aeschbacher, S, additional, Coslovsky, M, additional, Knecht, S, additional, Paladini, R E, additional, Krisai, P, additional, Kastner, P, additional, Ziegler, A, additional, Mueller, C, additional, Zuern, C S, additional, Bonati, L, additional, Conen, D, additional, Kuehne, M, additional, and Osswald, S, additional
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- 2022
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11. Freezing temperatures of aqueous iron(III) sulfate solutions and crystallization of a new acidic water-rich sulfate
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Hennings, E., Zürner, P., Schmidt, H., and Voigt, W.
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- 2013
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12. Impaired heart rate variability triangular index predicts stroke and systemic embolism in patients with atrial fibrillation
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Haemmerle, P, primary, Hennings, E, additional, Eken, C, additional, Aeschbacher, S, additional, Coslovsky, M, additional, Schlageter, V, additional, Osswald, S, additional, Kuehne, M, additional, and Zuern, CS, additional
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- 2022
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13. Active Network Guidance and Emergency Logic (ANGEL) Program
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Austin, B. J., Edwards, K. T., Hennings, E. J., Vian, J. L., and Warner, N. W.
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- 2000
14. Combined paravertebral and intrathecal vs thoracic epidural analgesia for post-thoracotomy pain relief
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Dango, S., Harris, S., Offner, K., Hennings, E., Priebe, H.-J., Buerkle, H., Passlick, B., and Loop, T.
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- 2013
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15. Differential Effect of Nicotinic Agonists on the [3H]Norepinephrine Release from Rat Hippocampal Slices
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Kiss, J. P., Windisch, K., De Oliveira, K., Hennings, E. C. P., Mike, A., and Szász, B. K.
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- 2001
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16. Normocapnia during nIPPV in chronic hypercapnic COPD reduces subsequent spontaneous PaCO2
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WINDISCH, W., VOGEL, M., SORICHTER, S., HENNINGS, E., BREMER, H., HAMM, H., MATTHYS, H., and VIRCHOW, J.C., Jr
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- 2002
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17. Combined Paravertebral and Intrathecal vs Thoracic Epidural Analgesia for Post-Thoracotomy Pain Relief
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Dango, S., primary, Harris, S., additional, Offner, K., additional, Hennings, E., additional, Priebe, H.-J., additional, Buerkle, H., additional, Passlick, B., additional, and Loop, T., additional
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- 2013
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18. Einfluss des 'Melkens' von Thoraxdrainagen nach Thorakotomien auf die postoperative Morbidität: Ergebnisse einer prospektiv randomisierten Studie
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Dango, S, Hennings, E, Hörth, W, Kirschbaum, A, Biancosino, C, Cucuruz, B, Sienel, W, Stremmel, C, Passlick, B, Dango, S, Hennings, E, Hörth, W, Kirschbaum, A, Biancosino, C, Cucuruz, B, Sienel, W, Stremmel, C, and Passlick, B
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- 2008
19. ChemInform Abstract: Analysis of Deprenyl Metabolites in the Rat Brain Using HPLC-ES-MS
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Kalasz, H., primary, Bartok, T., additional, Komoroczy, R., additional, Szoeko, E., additional, Haberle, D., additional, Kiss, J. P., additional, Hennings, E. C. P., additional, Magyar, K., additional, and Fuerst, S., additional
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- 2010
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20. Einfluss des „Melkens“ von Thoraxdrainagen nach Thorakotomien auf die postoperative Morbidität: Ergebnisse einer prospektiv randomisierten Studie
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Dango, S, primary, Hennings, E, additional, Hörth, W, additional, Sienel, W, additional, Stremmel, C, additional, and Passlick, B, additional
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- 2008
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21. Peak or plateau maximal inspiratory mouth pressure: which is best?
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Windisch, W., primary, Hennings, E., additional, Sorichter, S., additional, Hamm, H., additional, and Criée, C.P., additional
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- 2004
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22. Besprechungen
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Scheid, Werner, Cosack, Lange, Graf, Otto, Ubenauf, Bloetn, Liselotte, Lehmann, Konstantin, Hennings, E., Zimtneri, Esser, and Liszt, E. von
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- 1937
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23. Besprechungen
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Weber, v., Polligkeit, Hennings, E., Sieverts, Lange-Cosack, Dohna, Graf zu, Seelig, Ernst, and Deutsch, Hermann
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- 1939
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24. Besprechungen
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Lange, Stumpfl, F., Dohna, Graf zu, Bürger-Prinz, Liszt, Elsa von, Flaig, J., Exner, Gwinner, Heinrich, Conrad, Schniederkötte, and Hennings, E.
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- 1938
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25. Besprechungen
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Bürger-Prinz, Hennings, E., Stumpft, F., Sieverts, Peters, Karl, and Tesar
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- 1942
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26. BESPRECHUNGEN
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Simson, Gerhard, Hennings, E., Hardwig, Suttinger, Günter, Winzenried, Hanack, Ernst-Walter, Schäfer, H., and Otto, Harro
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- 1966
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27. Homeward Bound
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Hennings, E. Martin and Smithsonian American Art Museum
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- North American, American
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- 1886
28. Analysis of deprenyl metabolites in the rat brain using HPLC-ES-MS
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Kalász, H., Bartók, T., Komoróczy, R., Éva Szökő, Haberle, D., Kiss, J. P., Hennings, E. C. P., Magyar, K., and Fürst, S.
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Pharmacology ,Drug Discovery ,Organic Chemistry ,Molecular Medicine ,Biochemistry - Abstract
Abstract: Methylamphetamine and amphetamine, the two major metabolites of deprenyl in the rat brain were analyzed using HPLC method combined with electrospray-mass spectrometer. (-)-Deprenyl and (+) deprenyl were orally administered to rats either in a single dose of 10 mg/kg, or three times a week for three weeks. The metabolites were determined in four different parts of the rat brain, such as in the frontal cortex, corpus striatum, hippocampus, and hypophysis. The ratio of methylamphetamine to amphetamine was also compared after (-)-deprenyl and(+) deprenyl treatments.
29. Zur Praxis der Abarbeitung einer Geldstrafe
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Hennings, E., primary
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- 1937
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30. Nicotinic acetylcholine receptor antagonist effect of fluoxetine in rat hippocampal slices
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Hennings, E. C. P., Kiss, J. P., and Vizi, E. S.
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- 1997
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31. Initial experience with a synthetic sealant PleuraSeal™ after pulmonary resections: a prospective study with retrospective case matched controls
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Hennings Ellen, Lin Rong, Dango Sebastian, and Passlick Bernward
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Surgery ,RD1-811 ,Anesthesiology ,RD78.3-87.3 - Abstract
Abstract The objective of this study was to evaluate postoperative outcome and efficacy of a hydrogel tissue sealant for prevention of alveolar leakage after open lung resections. 20 consecutive patients were enrolled in the PleuraSeal™ sealant group (PSG) and case matched with 20 retrospective controls (CG) with standard treatment. Assessment of postoperative air leakage was performed until chest tube removal. Patients were followed until 30 days after discharge. At end of surgery, 100% in the PSG and 0% in the CG were air leak free (p < 0.001). Duration of postoperative chest tube suction was shorter in PSG (p < 0.001), and air leak chest tube was removed earlier (p = 0.03). Limitation for chest tube removal due to a pulmonary leak was 35% in CG and 5% in PSG (p = 0.04). Patients remaining air leak free thru discharge was 95% and 15% for PSG and CG (p < 0.001). The study demonstrated a superior efficacy of PleuraSeal™ sealant compared with standard surgical treatment for sustained sealing of postoperative air leakage and causes shorter air leak chest tube duration.
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- 2010
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32. Initial experience with a synthetic sealant PleuraSeal after pulmonary resections: a prospective study with retrospective case matched controls.
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Dango S, Lin R, Hennings E, Passlick B, Dango, Sebastian, Lin, Rong, Hennings, Ellen, and Passlick, Bernward
- Abstract
The objective of this study was to evaluate postoperative outcome and efficacy of a hydrogel tissue sealant for prevention of alveolar leakage after open lung resections. 20 consecutive patients were enrolled in the PleuraSeal sealant group (PSG) and case matched with 20 retrospective controls (CG) with standard treatment. Assessment of postoperative air leakage was performed until chest tube removal. Patients were followed until 30 days after discharge. At end of surgery, 100% in the PSG and 0% in the CG were air leak free (p < 0.001). Duration of postoperative chest tube suction was shorter in PSG (p < 0.001), and air leak chest tube was removed earlier (p = 0.03). Limitation for chest tube removal due to a pulmonary leak was 35% in CG and 5% in PSG (p = 0.04). Patients remaining air leak free thru discharge was 95% and 15% for PSG and CG (p < 0.001). The study demonstrated a superior efficacy of PleuraSeal sealant compared with standard surgical treatment for sustained sealing of postoperative air leakage and causes shorter air leak chest tube duration. [ABSTRACT FROM AUTHOR]
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- 2010
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33. ChemInform Abstract: Analysis of Deprenyl Metabolites in the Rat Brain Using HPLC-ES-MS.
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Kalasz, H., Bartok, T., Komoroczy, R., Szoeko, E., Haberle, D., Kiss, J. P., Hennings, E. C. P., Magyar, K., and Fuerst, S.
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- 1999
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34. Besprechungen
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Reuß, H., Hennings, E., and Sauerlandt
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- 1939
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35. BMP10 reflects pre-capillary pulmonary hemodynamics: association of biomarkers and hemodynamic parameters in pulmonary hypertension.
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Hennings E, Aeschbacher S, Coslovsky M, Paladini RE, Voellmin G, Lampart M, Ziegler A, Müller C, Conen D, Zuern CS, Kühne M, Osswald S, and Pfister O
- Abstract
Background and Aims: The role of biomarkers in diagnosing pulmonary hypertension (PH) and distinguishing between pre- and post-capillary PH remains poorly understood. We aimed to identify biomarkers with a strong association with mean pulmonary arterial pressure, mPAP (PH diagnosis) and pulmonary vascular resistance, PVR (pre-capillary component), but not with pulmonary arterial wedge pressure, PAWP (post-capillary component)., Methods: Blood samples were collected in patients undergoing right heart catheterization within a prospective cross-sectional study. Biomarkers measured included BMP10, NT-proBNP, ANG2, ESM1/endocan, FGF23, GDF15, IGFBP7, IL6, MyBPC3, proC3, and proC6/endotrophin. Primary outcomes were mPAP, PVR, and PAWP, while secondary outcomes included PH diagnosis (mPAP > 20 mmHg) and elevated PVR (> 2 Wood units). Multivariable linear and logistic regression models were used to assess the relationship between biomarkers and outcomes., Results: Of the 127 patients included (age 66 ± 13 years, 54% female), 73% were diagnosed with PH. BMP10, NT-proBNP, ANG2, MyBPC3, and FGF23 showed a strong association with mPAP (p < 0.001). BMP10 and NT-proBNP were strongly associated with PVR (p < 0.001), while NT-proBNP and ANG2 were strongly associated with PAWP (p < 0.001). NT-proBNP had the strongest association with the diagnosis of PH (area under the curve = 0.76). BMP10 was the only biomarker associated with elevated PVR (OR 1.60, 95%CI 1.01-2.54, p = 0.04) but not with PAWP (p = 0.86)., Conclusions: Several biomarkers were strongly associated with mPAP, PAWP, and PVR. BMP10 was the only biomarker strongly associated with mPAP and PVR, but not with PAWP, thus reflecting the pre-capillary PH component. Measurement of BMP10 along with NT-proBNP may aid in diagnosing PH., (© 2024. The Author(s).)
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- 2024
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36. Heart rate variability and stroke or systemic embolism in patients with atrial fibrillation.
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Hämmerle P, Aeschbacher S, Schlageter V, Coslovsky M, Hennings E, Krisai P, Coduri F, Blum MR, Rodondi N, Reichlin T, Müller A, Stauber A, Moschovitis G, Rigamonti E, Beer J, Ammann P, Bonati LH, Conen D, Osswald S, Kühne M, and Zuern CS
- Subjects
- Humans, Male, Female, Aged, Embolism physiopathology, Embolism etiology, Embolism diagnosis, Autonomic Nervous System physiopathology, Risk Factors, Follow-Up Studies, Incidence, Retrospective Studies, Risk Assessment methods, Atrial Fibrillation physiopathology, Atrial Fibrillation complications, Atrial Fibrillation diagnosis, Heart Rate physiology, Electrocardiography, Stroke physiopathology, Stroke etiology
- Abstract
Background: Stroke remains one of the most serious complications in atrial fibrillation (AF) patients and has been linked to disturbances of the autonomic nervous system., Objective: The purpose of this study was to test the hypothesis that impaired cardiac autonomic function might be associated with an enhanced stroke risk in AF patients., Methods: A total of 1922 AF patients who were in either sinus rhythm (SR group; n = 1121) or AF (AF group; n = 801) on a 5-minute resting electrocardiographic (ECG) recording were enrolled in the study. Heart rate variability triangular index (HRVI), standard deviation of normal-to-normal intervals, root mean square root of successive differences of normal-to-normal intervals, mean heart rate, 5-minute total power, and power in the high-frequency, low-frequency, and very-low-frequency ranges were calculated. Cox regression models were constructed to examine the association of heart rate variability (HRV) parameters with the composite endpoint of stroke or systemic embolism., Results: Mean age was 71 ± 8 years in the SR group and 75 ± 8 years in the AF group. Thirty-seven patients in the SR group (3.4%) and 60 patients in the AF group (8.0%) experienced a stroke or systemic embolism during follow-up of 5 years. In patients with SR, HRVI <15 was the strongest HRV parameter to be associated with stroke or systemic embolism (hazard ratio 3.04; 95% confidence interval 1.3-7.0; P = .009) after adjustment for multiple confounders. In the AF group, no HRV parameter was found to be associated with the composite endpoint., Conclusion: HRVI measured during SR on a single 5-minute ECG recording is independently associated with stroke or systemic embolism in AF patients. HRV analysis in SR may help to improve risk stratification in AF patients., Competing Interests: Disclosures Dr Beer reports grants from the Swiss National Foundation of Science, The Swiss Heart Foundation, and Bayer; and lecture fees from Sanofi Aventis and Amgen, to the institution outside the submitted work. Dr Blum has received research grants from the Swiss National Science Foundation and the Swiss Heart Foundation, all for work outside the submitted study. Dr Bonati has received an unrestricted research grant from AstraZeneca; consultancy or advisory board fees or speaker honoraria from Amgen, Bayer, Bristol-Myers Squibb, and Claret Medical; and travel grants from AstraZeneca and Bayer, outside the submitted work. Dr Conen received consultancy fees from Roche Diagnostics and Trimedics; and speaker fees from Servier and BMS/Pfizer, outside the submitted work. Dr Kühne received personal fees from Daiichi Sankyo and grants from the Swiss National Science Foundation, Swiss Heart Foundation, Foundation for CardioVascular Research Basel, Bayer, Pfizer, Boston Scientific, BMS, Biotronik, and Daiichi Sankyo, outside the submitted work. Dr Krisai has speaker fees from BMS/Pfizer, outside the submitted work. Dr Müller reports fellowship and training support from Biotronik, Boston Scientific, Medtronic, Abbott/St. Jude Medical, and Biosense Webster; speaker honoraria from Biosense Webster, Medtronic, Abbott/St. Jude Medical, AstraZeneca, Daiichi Sankyo, Biotronik, MicroPort, Novartis, Zoll, and Bristol Myers Squibb; consultant fees from Biosense Webster, Medtronic, Abbott/St. Jude Medical, and Biotronik, outside the submitted work. Dr Moschovitis has received advisory board and/or speaker fees from Astra Zeneca, Bayer, Boehringer Ingelheim, Daiichi Sankyo, Gebro Pharma, Novartis, and Vifor, outside the submitted work. Dr Osswald received research grants from the Swiss National Science Foundation and Swiss Heart Foundation, Foundation for CardioVascular Research Basel, and F. Hoffmann-La Roche Ltd.; and educational and speaker grants from F. Hoffmann-La Roche Ltd., Bayer, Novartis, Sanofi, AstraZeneca, Daiichi-Sankyo, and Pfizer, outside the submitted work. Dr Reichlin has recieved research grants from the Swiss National Science Foundation, the Swiss Heart Foundation, and the sitem insel support funds; speaker/consulting honoraria or travel support from Abbott/SJM, Astra Zeneca, Brahms, Bayer, Biosense-Webster, Biotronik, Boston-Scientific, Daiichi Sankyo, Farapulse, Medtronic, Pfizer-,BMS and Roche; and support for his institution’s fellowship program from Abbott/SJM, Biosense Webster, Biotronik, Boston Scientific, and Medtronic for work, outside the submitted study. Dr Zuern has received funding from the “Freiwillige Akademische Gesellschaft Basel”; and personal fees from Cardiomatics, outside the submitted work. All other authors have no conflicts of interest to disclose., (Copyright © 2024 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.)
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- 2024
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37. Repeat Catheter Ablation after Very Late Recurrence of Atrial Fibrillation after Pulmonary Vein Isolation.
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Stauffer N, Knecht S, Badertscher P, Krisai P, Hennings E, Serban T, Voellmin G, Osswald S, Sticherling C, and Kühne M
- Abstract
Background and Aims: Atrial fibrillation (AF) recurs in about one third of patients after catheter ablation (CA), mostly in the first year. Little is known about the electrophysiological findings and the effect of re-ablation in very late AF recurrences after more than one year. The aim of this study was to determine the characteristics and outcomes of the first repeat CA after very late recurrence of AF after index CA., Methods: We analysed patients from a prospective Swiss registry that underwent a first repeat ablation procedure. Patients were stratified depending on the time to recurrence after index procedure: early recurrence (ER) for recurrences within the first year and late recurrence (LR) if the recurrence was later. The primary endpoint was freedom from AF in the first year after repeat ablation., Results: Out of 1864 patients included in the registry, 426 patients undergoing a repeat ablation were included in the analysis (28% female, age 63 ± 9.8 years, 46% persistent AF). 291 patients (68%) were stratified in the ER group and 135 patients (32%) in the LR group. Pulmonary vein reconnections were a common finding in both groups, with 93% in the ER group compared to 86% in the LR group (p = 0.052). In the LR group, 40 of 135 patients (30%) had a recurrence of AF compared to 90 of 291 patients (31%) in the ER group (log rank p = 0.72)., Conclusion: There was no association between the time to recurrence of AF after initial catheter ablation and the characteristics and outcomes of the repeat procedure., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)
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- 2024
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38. Biomarkers to Predict Improvement of Left Ventricular Ejection Fraction after Atrial Fibrillation Ablation.
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Serban T, Hennings E, Strebel I, Knecht S, du Fay de Lavallaz J, Krisai P, Arnet R, Völlmin G, Osswald S, Sticherling C, Kühne M, and Badertscher P
- Abstract
Introduction: Atrial fibrillation (AF) and heart failure (HF) frequently coexist. Prediction of left ventricular ejection fraction (LVEF) recovery after catheter ablation (CA) for AF remains difficult., Objectives: To evaluate the value of biomarkers, alone and in conjunction with the Antwerp score to predict LVEF recovery after CA for AF., Methods: Patients undergoing CA for AF with depressed LVEF(<50%) were included. Plasma levels of 13 biomarkers were measured immediately prior to CA. Patients were categorized into "responders" and "non-responders" in similar fashion to the Antwerp score derivation and validation cohorts. The predictive power of the biomarkers alone and combined in outcome prediction was evaluated., Results: 208 patients with depressed LVEF were included (median age 63 years, 19% female, median LAVI 42 ml/m2, median LVEF 43%). At a median follow-up time of 30 months, 161 (77%) were responders and 47 (23%) were non-responders. Of 13 biomarkers, four (ANG2, GDF15, FGF23 and MyBPC3) were significantly different between responders and non-responders (p ≤0.001) and combined could predict the endpoint with an AUC of 0.72 (95%CI 0.64-0.81) overall, 0.69 (95%CI 0.59-0.78) in HFmrEF and 0.88 (95%CI 0.77-0.98) in HFrEF. Only ANG2 and GDF15 remained significantly associated with LVEF recovery after adjustment for age, sex and Antwerp score and significantly improved the accuracy of the Antwerp score predictions (p<0.001). The AUC of the Antwerp score in the outcome prediction improved from 0.75 (95% CI 0.67-0.83) to 0.78 (95% CI 0.70-0.86) CONCLUSION: A biomarker panel (ANG2, GDF15) significantly improved the accuracy of the Antwerp Score., (Copyright © 2024. Published by Elsevier Inc.)
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- 2024
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39. Association of statin use and lipid levels with cerebral microbleeds and intracranial hemorrhage in patients with atrial fibrillation: A prospective cohort study.
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Moutzouri E, Glutz M, Abolhassani N, Feller M, Adam L, Gencer B, Del Giovane C, Bétrisey S, Paladini RE, Hennings E, Aeschbacher S, Beer JH, Moschovitis G, Seiffge D, De Marchis GM, Coslovsky M, Reichlin T, Conte G, Sinnecker T, Schwenkglenks M, Bonati LH, Kastner P, Aujesky D, Kühne M, Osswald S, Fischer U, Conen D, and Rodondi N
- Abstract
Background: An increased risk of intracranial hemorrhage (ICH) associated with statins has been reported, but data on the relationship between statin use and cerebral microbleeds (CMBs) in patients with atrial fibrillation (AF), a population at high bleeding and cardiovascular risk, are lacking., Aims: To explore the association between statin use and blood lipid levels with the prevalence and progression of CMBs in patients with AF with a particular focus on anticoagulated patients., Methods: Data of Swiss-AF, a prospective cohort of patients with established AF, were analyzed. Statin use was assessed during baseline and throughout follow-up. Lipid values were measured at baseline. CMBs were assessed using magnetic resonance imagining (MRI) at baseline and at 2 years follow-up. Imaging data were centrally assessed by blinded investigators. Associations of statin use and low-density lipoprotein (LDL) levels with CMB prevalence at baseline or CMB progression (at least one additional or new CMB on follow-up MRI at 2 years compared with baseline) were assessed using logistic regression models; the association with ICH was assessed using flexible parametric survival models. Models were adjusted for hypertension, smoking, body mass index, diabetes, stroke/transient ischemic attack, coronary heart disease, antiplatelet use, anticoagulant use, and education., Results: Of the 1693 patients with CMB data at baseline MRI (mean ± SD age 72.5 ± 8.4 years, 27.6% women, 90.1% on oral anticoagulants), 802 patients (47.4%) were statin users. The multivariable adjusted odds ratio (adjOR) for CMBs prevalence at baseline for statin users was 1.10 (95% CI = 0.83-1.45). AdjOR for 1 unit increase in LDL levels was 0.95 (95% CI = 0.82-1.10). At 2 years, 1188 patients had follow-up MRI. CMBs progression was observed in 44 (8.0%) statin users and 47 (7.4%) non-statin users. Of these patients, 64 (70.3%) developed a single new CMB, 14 (15.4%) developed 2 CMBs, and 13 developed more than 3 CMBs. The multivariable adjOR for statin users was 1.09 (95% CI = 0.66-1.80). There was no association between LDL levels and CMB progression (adjOR 1.02, 95% CI = 0.79-1.32). At follow-up 14 (1.2%) statin users had ICH versus 16 (1.3%) non-users. The age and sex adjusted hazard ratio (adjHR) was 0.75 (95% CI = 0.36-1.55). The results remained robust in sensitivity analyses excluding participants without anticoagulants., Conclusions: In this prospective cohort of patients with AF, a population at increased hemorrhagic risk due to anticoagulation, the use of statins was not associated with an increased risk of CMBs.
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- 2023
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40. Association of bone morphogenetic protein 10 and recurrent atrial fibrillation after catheter ablation.
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Hennings E, Aeschbacher S, Coslovsky M, Paladini RE, Meyre PB, Voellmin G, Blum L, Kastner P, Ziegler A, Conen D, Zuern CS, Krisai P, Badertscher P, Sticherling C, Osswald S, Knecht S, and Kühne M
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- Humans, Male, Middle Aged, Aged, Female, Cohort Studies, Prospective Studies, Bone Morphogenetic Proteins, Atrial Fibrillation diagnosis, Atrial Fibrillation surgery, Catheter Ablation adverse effects
- Abstract
Aims: Atrial remodelling, defined as a change in atrial structure, promotes atrial fibrillation (AF). Bone morphogenetic protein 10 (BMP10) is an atrial-specific biomarker released to blood during atrial development and structural changes. We aimed to validate whether BMP10 is associated with AF recurrence after catheter ablation (CA) in a large cohort of patients., Methods and Results: We measured baseline BMP10 plasma concentrations in AF patients who underwent a first elective CA in the prospective Swiss-AF-PVI cohort study. The primary outcome was AF recurrence lasting longer than 30 s during a follow-up of 12 months. We constructed multivariable Cox proportional hazard models to determine the association of BMP10 and AF recurrence. A total of 1112 patients with AF (age 61 ± 10 years, 74% male, 60% paroxysmal AF) was included in our analysis. During 12 months of follow-up, 374 patients (34%) experienced AF recurrence. The probability for AF recurrence increased with increasing BMP10 concentration. In an unadjusted Cox proportional hazard model, a per-unit increase in log-transformed BMP10 was associated with a hazard ratio (HR) of 2.28 (95% CI 1.43; 3.62, P < 0.001) for AF recurrence. After multivariable adjustment, the HR of BMP10 for AF recurrence was 1.98 (95% CI 1.14; 3.42, P = 0.01), and there was a linear trend across BMP10 quartiles (P = 0.02 for linear trend)., Conclusion: The novel atrial-specific biomarker BMP10 was strongly associated with AF recurrence in patients undergoing CA for AF., Clinicaltrials.gov Identifier: NCT03718364; https://clinicaltrials.gov/ct2/show/NCT03718364., Competing Interests: Conflict of interest: P.B. received research funding from the University of Basel, the ‘Stiftung für Herzschrittmacher und Elektrophysiologie’, the ‘Freiwillige Akademische Gesellschaft Basel’, and the Swiss Heart Foundation and Johnson&Johnson, all outside the submitted work, and reports personal fees from Abbott, Boston Scientific, and Pfizer BMS. D.C. received consultancy fees from Roche Diagnostics and Trimedics and speaker fees from Servier and BMS/Pfizer. S.K. received funding from the ‘Stiftung für Herzschrittmacher und Elektrophysiologie’. M.K. received personal fees from Daiichi Sankyo and grants from the Swiss National Science Foundation, Swiss Heart Foundation, Foundation for CardioVascular Research Basel, Bayer, Pfizer, Boston Scientific, BMS, Biotronik, and Daiichi Sankyo. S.O. received research grants from the Swiss National Science Foundation and Swiss Heart Foundation, Foundation for CardioVascular Research Basel, and F. Hoffmann-La Roche Ltd and educational and speaker grants from F. Hoffmann-La Roche Ltd, Bayer, Novartis, Sanofi, AstraZeneca, Daiichi Sankyo, and Pfizer. C.S. is a member of the Advisory Board of Medtronic Europe and Advisory Board of Boston Scientific Europe and has received educational grants from Biosense Webster and Biotronik, research grants from the European Union’s FP7 program and Biosense Webster, and lecture and consulting fees from Abbott, Medtronic, Biosense Webster, Boston Scientific, Micro-Port, and Biotronik. All remaining authors have declared no conflicts of interest., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)
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- 2023
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41. Bone Morphogenetic Protein 10-A Novel Biomarker to Predict Adverse Outcomes in Patients With Atrial Fibrillation.
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Hennings E, Blum S, Aeschbacher S, Coslovsky M, Knecht S, Eken C, Lischer M, Paladini RE, Krisai P, Reichlin T, Rodondi N, Beer JH, Ammann P, Conte G, De Perna ML, Kobza R, Blum MR, Bossard M, Kastner P, Ziegler A, Müller C, Bonati LH, Pfister O, Zuern CS, Conen D, Kühne M, and Osswald S
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- Humans, Male, Middle Aged, Aged, Aged, 80 and over, Female, Cohort Studies, Prospective Studies, Biomarkers, Prognosis, Peptide Fragments, Natriuretic Peptide, Brain, Bone Morphogenetic Proteins, Atrial Fibrillation diagnosis, Atrial Fibrillation complications
- Abstract
Background Patients with atrial fibrillation (AF) face an increased risk of death and major adverse cardiovascular events (MACE). We aimed to assess the predictive value of the novel atrial-specific biomarker BMP10 (bone morphogenetic protein 10) for death and MACE in patients with AF in comparison with NT-proBNP (N-terminal prohormone of B-type natriuretic peptide). Methods and Results BMP10 and NT-proBNP were measured in patients with AF enrolled in Swiss-AF (Swiss Atrial Fibrillation Study), a prospective multicenter cohort study. A total of 2219 patients were included (median follow-up 4.3 years [interquartile range 3.9, 5.1], mean age 73±9 years, 73% male). In multivariable Cox proportional hazard models, the adjusted hazard ratio (aHR) associated with 1 ng/mL increase of BMP10 was 1.60 (95% CI, 1.37-1.87) for all-cause death, and 1.54 (95% CI, 1.35-1.76) for MACE. For all-cause death, the concordance index was 0.783 (95% CI, 0.763-0.809) for BMP10, 0.784 (95% CI, 0.765-0.810) for NT-proBNP, and 0.789 (95% CI, 0.771-0.815) for both biomarkers combined. For MACE, the concordance index was 0.732 (95% CI, 0.715-0.754) for BMP10, 0.747 (95% CI, 0.731-0.768) for NT-proBNP, and 0.750 (95% CI, 0.734-0.771) for both biomarkers combined. When grouping patients according to NT-proBNP categories (<300, 300-900, >900 ng/L), higher aHRs were observed in patients with high BMP10 in the categories of low NT-proBNP (all-cause death aHR, 2.28 [95% CI, 1.15-4.52], MACE aHR, 1.88 [95% CI, 1.07-3.28]) and high NT-proBNP (all-cause death aHR, 1.61 [95% CI, 1.14-2.26], MACE aHR, 1.38 [95% CI, 1.07-1.80]). Conclusions BMP10 strongly predicted all-cause death and MACE in patients with AF. BMP10 provided additional prognostic information in low- and high-risk patients according to NT-proBNP stratification. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02105844.
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- 2023
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42. Physical activity and brain health in patients with atrial fibrillation.
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Herber E, Aeschbacher S, Coslovsky M, Schwendinger F, Hennings E, Gasser A, Di Valentino M, Rigamonti E, Reichlin T, Rodondi N, Netzer S, Beer JH, Stauber A, Müller A, Ammann P, Sinnecker T, Duering M, Wuerfel J, Conen D, Kühne M, Osswald S, and Bonati LH
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- Humans, Middle Aged, Aged, Aged, 80 and over, Cohort Studies, Cross-Sectional Studies, Brain diagnostic imaging, Brain pathology, Infarction, Magnetic Resonance Imaging methods, Atrial Fibrillation complications, Atrial Fibrillation epidemiology
- Abstract
Background and Purpose: Vascular brain lesions, such as ischemic infarcts, are common among patients with atrial fibrillation (AF) and are associated with impaired cognitive function. The role of physical activity (PA) in the prevalence of brain lesions and cognition in AF has not been investigated., Methods: Patients from the multicenter Swiss-AF cohort study were included in this cross-sectional analysis. We assessed regular exercise (RE; at least once weekly) and minutes of weekly PA using a validated questionnaire. We studied associations with ischemic infarcts, white matter hyperintensities, cerebral microbleeds, and brain volume on brain magnetic resonance imaging and with global cognition measured with a cognitive construct (CoCo) score., Results: Among 1490 participants (mean age = 72 ± 9 years), 730 (49%) engaged in RE. In adjusted regression analyses, RE was associated with a lower prevalence of ischemic infarcts (odds ratio [OR] = 0.78, 95% confidence interval [CI] = 0.63-0.98, p = 0.03) and of moderate to severe white matter hyperintensities (OR = 0.78, 95% CI = 0.62-0.99, p = 0.04), higher brain volume (β-coefficient = 10.73, 95% CI = 2.37-19.09, p = 0.01), and higher CoCo score (β-coefficient = 0.08, 95% CI = 0.03-0.12, p < 0.001). Increasing weekly PA was associated with higher brain volume (β-coefficient = 1.40, 95% CI = 0.65-2.15, p < 0.001)., Conclusions: In AF patients, RE was associated with a lower prevalence of ischemic infarcts and of moderate to severe white matter disease, with larger brain volume, and with better cognitive performance. Prospective studies are needed to investigate whether these associations are causal. Until then, our findings suggest that patients with AF should be encouraged to remain physically active., (© 2022 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.)
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- 2023
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43. Assessment of the atrial fibrillation burden in Holter electrocardiogram recordings using artificial intelligence.
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Hennings E, Coslovsky M, Paladini RE, Aeschbacher S, Knecht S, Schlageter V, Krisai P, Badertscher P, Sticherling C, Osswald S, Kühne M, and Zuern CS
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Background: Emerging evidence indicates that a high atrial fibrillation (AF) burden is associated with adverse outcome. However, AF burden is not routinely measured in clinical practice. An artificial intelligence (AI)-based tool could facilitate the assessment of AF burden., Objective: We aimed to compare the assessment of AF burden performed manually by physicians with that measured by an AI-based tool., Methods: We analyzed 7-day Holter electrocardiogram (ECG) recordings of AF patients included in the prospective, multicenter Swiss-AF Burden cohort study. AF burden was defined as percentage of time in AF, and was assessed manually by physicians and by an AI-based tool (Cardiomatics, Cracow, Poland). We evaluated the agreement between both techniques by means of Pearson correlation coefficient, linear regression model, and Bland-Altman plot., Results: We assessed the AF burden in 100 Holter ECG recordings of 82 patients. We identified 53 Holter ECGs with 0% or 100% AF burden, where we found a 100% correlation. For the remaining 47 Holter ECGs with an AF burden between 0.01% and 81.53%, Pearson correlation coefficient was 0.998. The calibration intercept was -0.001 (95% CI -0.008; 0.006), and the calibration slope was 0.975 (95% CI 0.954; 0.995; multiple R
2 0.995, residual standard error 0.017). Bland-Altman analysis resulted in a bias of -0.006 (95% limits of agreement -0.042 to 0.030)., Conclusion: The assessment of AF burden with an AI-based tool provided very similar results compared to manual assessment. An AI-based tool may therefore be an accurate and efficient option for the assessment of AF burden., (© 2023 Heart.)- Published
- 2023
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44. Association of pulmonary vein isolation and major cardiovascular events in patients with atrial fibrillation.
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Girod M, Coslovsky M, Aeschbacher S, Sticherling C, Reichlin T, Roten L, Rodondi N, Ammann P, Auricchio A, Moschovitis G, Kobza R, Badertscher P, Knecht S, Krisai P, Marugg A, Aebersold H, Hennings E, Serra-Burriel M, Schwenkglenks M, Zuern CS, Bonati LH, Conen D, Osswald S, and Kühne M
- Subjects
- Aged, Female, Humans, Male, Prospective Studies, Recurrence, Treatment Outcome, Atrial Fibrillation complications, Atrial Fibrillation epidemiology, Atrial Fibrillation surgery, Catheter Ablation adverse effects, Heart Failure epidemiology, Heart Failure surgery, Ischemic Attack, Transient, Pulmonary Veins surgery, Stroke epidemiology, Stroke etiology
- Abstract
Background: Patients with atrial fibrillation (AF) face an increased risk of adverse cardiovascular events. Evidence suggests that early rhythm control including AF ablation may reduce this risk., Methods: To compare the risks for cardiovascular events in AF patients with and without pulmonary vein isolation (PVI), we analysed data from two prospective cohort studies in Switzerland (n = 3968). A total of 325 patients who had undergone PVI during a 1-year observational period were assigned to the PVI group. Using coarsened exact matching, 2193 patients were assigned to the non-PVI group. Outcomes were all-cause mortality, hospital admission for acute heart failure, a composite of stroke, transient ischemic attack and systemic embolism (Stroke/TIA/SE), myocardial infarction (MI), and bleedings. We calculated multivariable adjusted Cox proportional-hazards models., Results: Overall, 2518 patients were included, median age was 66 years [IQR 61.0, 71.0], 25.8% were female. After a median follow-up time of 3.9 years, fewer patients in the PVI group died from any cause (incidence per 100 patient-years 0.64 versus 1.87, HR 0.39, 95%CI 0.19-0.79, p = 0.009) or were admitted to hospital for acute heart failure (incidence per 100 patient-years 0.52 versus 1.72, HR 0.44, 95%CI 0.21-0.95, p = 0.035). There was no significant association between PVI and Stroke/TIA/SE (HR 0.94, 95%CI 0.52-1.69, p = 0.80), MI (HR 0.43, 95%CI 0.11-1.63, p = 0.20) or bleeding (HR 0.75, 95% CI 0.50-1.12, p = 0.20)., Conclusions: In our matched comparison, patients in the PVI group had a lower incidence rate of all-cause mortality and hospital admission for acute heart failure compared to the non-PVI group., Gov Identifier: NCT02105844, April 7th 2014., (© 2022. The Author(s).)
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- 2022
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45. Clinical Validation of Automated Corrected QT-Interval Measurements From a Single Lead Electrocardiogram Using a Novel Smartwatch.
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Mannhart D, Hennings E, Lischer M, Vernier C, Du Fay de Lavallaz J, Knecht S, Schaer B, Osswald S, Kühne M, Sticherling C, and Badertscher P
- Abstract
Introduction: The Withings Scanwatch (Withings SA, Issy les Moulineaux, France) offers automated analysis of the QTc. We aimed to compare automated QTc-measurements using a single lead ECG of a novel smartwatch (Withings Scanwatch, SW-ECG) with manual-measured QTc from a nearly simultaneously recorded 12-lead ECG., Methods: We enrolled consecutive patients referred to a tertiary hospital for cardiac workup in a prospective, observational study. The QT-interval of the 12-lead ECG was manually interpreted by two blinded, independent cardiologists through the tangent-method. Bazett's formula was used to calculate QTc. Results were compared using the Bland-Altman method., Results: A total of 317 patients (48% female, mean age 63 ± 17 years) were enrolled. HR-, QRS-, and QT-intervals were automatically calculated by the SW in 295 (93%), 249 (79%), and 177 patients (56%), respectively. Diagnostic accuracy of SW-ECG for detection of QTc-intervals ≥ 460 ms (women) and ≥ 440 ms (men) as quantified by the area under the curve was 0.91 and 0.89. The Bland-Altman analysis resulted in a bias of 6.6 ms [95% limit of agreement (LoA) -59 to 72 ms] comparing automated QTc-measurements (SW-ECG) with manual QTc-measurement (12-lead ECG). In 12 patients (6.9%) the difference between the two measurements was greater than the LoA., Conclusion: In this clinical validation of a direct-to-consumer smartwatch we found fair to good agreement between automated-SW-ECG QTc-measurements and manual 12-lead-QTc measurements. The SW-ECG was able to automatically calculate QTc-intervals in one half of all assessed patients. Our work shows, that the automated algorithm of the SW-ECG needs improvement to be useful in a clinical setting., Competing Interests: PB received research funding from the “University of Basel“, the “Stiftung für Herzschrittmacher und Elektrophysiologie,” the “Freiwillige Akademische Gesellschaft Basel”, and Johnson & Johnson, all outside the submitted work and reports personal fees from Abbott. SK has received funding of the “Stiftung für Herzschrittmacher und Elektrophysiologie.” CS Member of Medtronic Advisory Board Europe, and Boston Scientitic Advisory Board Europe, received educational grants from Biosense Webster and Biotronik, a research grant from the European Union’s FP7 program and Biosense Webster, and lecture and consulting fees from Abbott, Medtronic, Biosense-Webster, Boston Scientific, Microport, and Biotronik all outside the submitted work. MK reports personal fees from Bayer, personal fees from Böhringer Ingelheim, personal fees from Pfizer BMS, personal fees from Daiichi Sankyo, personal fees from Medtronic, personal fees from Biotronik, personal fees from Boston Scientific, personal fees from Johnson & Johnson, personal fees from Roche, grants from Bayer, grants from Pfizer, grants from Boston Scientific, grants from BMS, grants from Biotronik, and grants from Daiichi Sankyo, all outside the submitted work. BS reports speaker’s bureau for Medtronic. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Mannhart, Hennings, Lischer, Vernier, Du Fay de Lavallaz, Knecht, Schaer, Osswald, Kühne, Sticherling and Badertscher.)
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- 2022
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46. Biomarkers associated with rhythm status after cardioversion in patients with atrial fibrillation.
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Meyre PB, Aeschbacher S, Blum S, Voellmin G, Kastner PM, Hennings E, Kaufmann BA, Kühne M, Osswald S, and Conen D
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- Action Potentials, Aged, Atrial Fibrillation blood, Atrial Fibrillation diagnosis, Atrial Fibrillation physiopathology, Biomarkers blood, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Recovery of Function, Recurrence, Time Factors, Treatment Outcome, Atrial Fibrillation therapy, Bilirubin blood, Bone Morphogenetic Proteins blood, Electric Countershock adverse effects, Heart Conduction System physiopathology, Heart Rate, Natriuretic Peptide, Brain blood, Peptide Fragments blood
- Abstract
Biomarkers may help to improve our knowledge about the complex pathophysiology of atrial fibrillation (AF). In this study we sought to identify significant changes in biomarkers and clinical measures in patients with and without AF recurrence after electrical cardioversion. We measured 21 conventional and new biomarkers before and 30 days after electrical cardioversion and assessed the associations of changes in biomarker levels with rhythm status at follow-up. Significant between-group changes were observed for bone morphogenetic protein 10 (BMP10), N-terminal pro-B-type natriuretic peptide (NT-proBNP) and total bilirubin. Their respective changes were - 10.4%, - 62.0% and - 25.6% in patients with sinus rhythm, and 3.1%, 1.1% and - 9.4% in patients with recurrent AF, for a between-group difference of - 13.5% (95% confidence interval [CI] - 19.3% to - 7.6%; P < 0.001), - 63.1% (95% CI - 76.6% to - 49.6%; P < 0.001) and - 16.3% (95% CI - 27.9% to - 4.7%; P = 0.007). In multivariable models, the reductions of BMP10 and NT-proBNP were significantly associated with follow-up rhythm status (β coefficient per 1 - SD decrease, - 3.85; 95% CI - 6.34 to - 1.35; P = 0.003 for BMP10 and - 5.84; 95% CI - 10.22 to - 1.47; P = 0.009 for NT-proBNP. In conclusion, changes in BMP10 und NT-proBNP levels were independently associated with rhythm status after cardioversion, suggesting that these markers may be dependent on the actual heart rhythm., (© 2022. The Author(s).)
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- 2022
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47. Crystal structures of Sr(ClO4)2·3H2O, Sr(ClO4)2·4H2O and Sr(ClO4)2·9H2O.
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Hennings E, Schmidt H, and Voigt W
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The title compounds, strontium perchlorate trihydrate {di-μ-aqua-aquadi-μ-perchlorato-strontium, [Sr(ClO4)2(H2O)3] n }, strontium perchlorate tetra-hydrate {di-μ-aqua-bis-(tri-aqua-diperchloratostrontium), [Sr2(ClO4)4(H2O)8]} and strontium perchlorate nona-hydrate {hepta-aqua-diperchloratostrontium dihydrate, [Sr(ClO4)2(H2O)7]·2H2O}, were crystallized at low temperatures according to the solid-liquid phase diagram. The structures of the tri- and tetra-hydrate consist of Sr(2+) cations coordinated by five water mol-ecules and four O atoms of four perchlorate tetra-hedra in a distorted tricapped trigonal-prismatic coordination mode. The asymmetric unit of the trihydrate contains two formula units. Two [SrO9] polyhedra in the trihydrate are connected by sharing water mol-ecules and thus forming chains parallel to [100]. In the tetra-hydrate, dimers of two [SrO9] polyhedra connected by two sharing water mol-ecules are formed. The structure of the nona-hydrate contains one Sr(2+) cation coordinated by seven water mol-ecules and by two O atoms of two perchlorate tetra-hedra (point group symmetry ..m), forming a tricapped trigonal prism (point group symmetry m2m). The structure contains additional non-coordinating water mol-ecules, which are located on twofold rotation axes. O-H⋯O hydrogen bonds between the water mol-ecules as donor and ClO4 tetra-hedra and water mol-ecules as acceptor groups lead to the formation of a three-dimensional network in each of the three structures.
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- 2014
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48. Crystal structures of Ca(ClO4)2·4H2O and Ca(ClO4)2·6H2O.
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Hennings E, Schmidt H, and Voigt W
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The title compounds, calcium perchlorate tetra-hydrate and calcium perchlorate hexa-hydrate, were crystallized at low temperatures according to the solid-liquid phase diagram. The structure of the tetra-hydrate consists of one Ca(2+) cation eightfold coordinated in a square-anti-prismatic fashion by four water mol-ecules and four O atoms of four perchlorate tetra-hedra, forming chains parallel to [01-1] by sharing corners of the ClO4 tetra-hedra. The structure of the hexa-hydrate contains two different Ca(2+) cations, each coordinated by six water mol-ecules and two O atoms of two perchlorate tetra-hedra, forming [Ca(H2O)6(ClO4)]2 dimers by sharing two ClO4 tetra-hedra. The dimers are arranged in sheets parallel (001) and alternate with layers of non-coordinating ClO4 tetra-hedra. O-H⋯O hydrogen bonds between the water mol-ecules as donor and ClO4 tetra-hedra and water mol-ecules as acceptor groups lead to the formation of a three-dimensional network in the two structures. Ca(ClO4)2·6H2O was refined as a two-component inversion twin, with an approximate twin component ratio of 1:1 in each of the two structures.
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- 2014
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49. Crystal structures of ZnCl2·2.5H2O, ZnCl2·3H2O and ZnCl2·4.5H2O.
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Hennings E, Schmidt H, and Voigt W
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The formation of different complexes in aqueous solutions is an important step in understanding the behavior of zinc chloride in water. The structure of concentrated ZnCl2 solutions is governed by coordination competition of Cl(-) and H2O around Zn(2+). According to the solid-liquid phase diagram, the title compounds were crystallized below room temperature. The structure of ZnCl2·2.5H2O contains Zn(2+) both in a tetra-hedral coordination with Cl(-) and in an octa-hedral environment defined by five water mol-ecules and one Cl(-) shared with the [ZnCl4](2-) unit. Thus, these two different types of Zn(2+) cations form isolated units with composition [Zn2Cl4(H2O)5] (penta-aqua-μ-chlorido-tri-chlorido-di-zinc). The trihydrate {hexa-aqua-zinc tetra-chlorido-zinc, [Zn(H2O)6][ZnCl4]}, consists of three different Zn(2+) cations, one of which is tetra-hedrally coordinated by four Cl(-) anions. The two other Zn(2+) cations are each located on an inversion centre and are octa-hedrally surrounded by water mol-ecules. The [ZnCl4] tetra-hedra and [Zn(H2O)6] octa-hedra are arranged in alternating rows parallel to [001]. The structure of the 4.5-hydrate {hexa-aqua-zinc tetra-chlorido-zinc trihydrate, [Zn(H2O)6][ZnCl4]·3H2O}, consists of isolated octa-hedral [Zn(H2O)6] and tetra-hedral [ZnCl4] units, as well as additional lattice water mol-ecules. O-H⋯O hydrogen bonds between the water mol-ecules as donor and ZnCl4 tetra-hedra and water mol-ecules as acceptor groups leads to the formation of a three-dimensional network in each of the three structures.
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- 2014
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50. Crystal structure of iron(III) perchlorate nona-hydrate.
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Hennings E, Schmidt H, and Voigt W
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Since the discovery of perchlorate salts on Mars and the known occurrence of ferric salts in the regolith, there is a distinct possibility that the title compound could form on the surface of Mars. [Fe(H2O)6](ClO4)3·3H2O was crystallized from aqueous solutions at low temperatures according to the solid-liquid phase diagram. It consists of Fe(H2O)6 octa-hedra (point group symmetry -3.) and perchlorate anions (point group symmetry .2) as well as non-coordinating water mol-ecules, as part of a second hydrogen-bonded coordination sphere around the cation. The perchlorate appears to be slightly disordered, with major-minor component occupancies of 0.773 (9):0.227 (9).
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- 2014
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