18 research outputs found

    Clinical Characteristics and Electrophysiological Mechanisms Underlying Brugada ECG in Patients With Severe Hyperkalemia

    Get PDF
    [EN] Background-Several metabolic conditions can cause the Brugada ECG pattern, also called Brugada phenotype (BrPh). We aimed to define the clinical characteristics and outcome of BrPh patients and elucidate the mechanisms underlying BrPh attributed to hyperkalemia. Methods and Results-We prospectively identified patients hospitalized with severe hyperkalemia and ECG diagnosis of BrPh and compared their clinical characteristics and outcome with patients with hyperkalemia but no BrPh ECG. Computer simulations investigated the roles of extracellular potassium increase, fibrosis at the right ventricular outflow tract, and epicardial/endocardial gradients in transient outward current. Over a 6-year period, 15 patients presented severe hyperkalemia with BrPh ECG that was transient and disappeared after normalization of their serum potassium. Most patients were admitted because of various severe medical conditions causing hyperkalemia. Six (40%) patients presented malignant arrhythmias and 6 died during admission. Multiple logistic regression analysis revealed that higher serum potassium levels (odds ratio, 15.8; 95% CI, 3.1-79; P=0.001) and male sex (odds ratio, 17; 95% CI, 1.05-286; P=0.045) were risk factors for developing BrPh ECG in patients with severe hyperkalemia. In simulations, hyperkalemia yielded BrPh by promoting delayed and heterogeneous right ventricular outflow tract activation attributed to elevation of resting potential, reduced availability of inward sodium channel conductance, and increased right ventricular outflow tract fibrosis. An elevated transient outward current gradient contributed to, but was not essential for, the BrPh phenotype. Conclusions-In patients with severe hyperkalemia, a BrPh ECG is associated with malignant arrhythmias and all-cause mortality secondary to resting potential depolarization, reduced sodium current availability, and fibrosis at the right ventricular outflow tract.This work was funded in part by the CIBERCV (Centro de Investigacion Biomedica en Red Enfermedades Cardiovasculares), Instituto de Salud Carlos III (PI14/00857, DTS16/0160, PI17/1059, PI01106), Spanish Ministry of Ecomomy (TEC2013-46067-R) and the ERDF (European Regional Development Fund).Rivera-Juárez, A.; Hernández-Romero, I.; Puertas, C.; Zhang-Wang, S.; Sánchez-Álamo, B.; Martins, R.; Figuera, C.... (2019). Clinical Characteristics and Electrophysiological Mechanisms Underlying Brugada ECG in Patients With Severe Hyperkalemia. Journal of the American Heart Association. 8(3):1-15. https://doi.org/10.1161/JAHA.118.010115S11583Brugada, P., & Brugada, J. (1992). Right bundle branch block, persistent ST segment elevation and sudden cardiac death: A distinct clinical and electrocardiographic syndrome. Journal of the American College of Cardiology, 20(6), 1391-1396. doi:10.1016/0735-1097(92)90253-jAntzelevitch, C., Brugada, P., Borggrefe, M., Brugada, J., Brugada, R., Corrado, D., … Wilde, A. (2005). Brugada Syndrome: Report of the Second Consensus Conference. Circulation, 111(5), 659-670. doi:10.1161/01.cir.0000152479.54298.51Priori, S. G., Wilde, A. A., Horie, M., Cho, Y., Behr, E. R., Berul, C., … Tracy, C. (2013). HRS/EHRA/APHRS Expert Consensus Statement on the Diagnosis and Management of Patients with Inherited Primary Arrhythmia Syndromes. Heart Rhythm, 10(12), 1932-1963. doi:10.1016/j.hrthm.2013.05.014Bezzina, C. R., Barc, J., Mizusawa, Y., Remme, C. A., Gourraud, J.-B., Simonet, F., … Dagradi, F. (2013). Common variants at SCN5A-SCN10A and HEY2 are associated with Brugada syndrome, a rare disease with high risk of sudden cardiac death. Nature Genetics, 45(9), 1044-1049. doi:10.1038/ng.2712Frustaci, A., Priori, S. G., Pieroni, M., Chimenti, C., Napolitano, C., Rivolta, I., … Russo, M. A. (2005). Cardiac Histological Substrate in Patients With Clinical Phenotype of Brugada Syndrome. Circulation, 112(24), 3680-3687. doi:10.1161/circulationaha.105.520999Corrado, D., Zorzi, A., Cerrone, M., Rigato, I., Mongillo, M., Bauce, B., & Delmar, M. (2016). Relationship Between Arrhythmogenic Right Ventricular Cardiomyopathy and Brugada Syndrome. Circulation: Arrhythmia and Electrophysiology, 9(4). doi:10.1161/circep.115.003631Coronel, R., Casini, S., Koopmann, T. T., Wilms-Schopman, F. J. G., Verkerk, A. O., de Groot, J. R., … de Bakker, J. M. T. (2005). Right Ventricular Fibrosis and Conduction Delay in a Patient With Clinical Signs of Brugada Syndrome. Circulation, 112(18), 2769-2777. doi:10.1161/circulationaha.105.532614Probst, V., Veltmann, C., Eckardt, L., Meregalli, P. G., Gaita, F., Tan, H. L., … Wilde, A. A. M. (2010). Long-Term Prognosis of Patients Diagnosed With Brugada Syndrome. Circulation, 121(5), 635-643. doi:10.1161/circulationaha.109.887026Baranchuk, A., Nguyen, T., Ryu, M. H., Femenía, F., Zareba, W., Wilde, A. A. M., … Pérez-Riera, A. R. (2012). Brugada Phenocopy: New Terminology and Proposed Classification. Annals of Noninvasive Electrocardiology, 17(4), 299-314. doi:10.1111/j.1542-474x.2012.00525.xLittmann, L., Monroe, M. H., Taylor, L., & Brearley, W. D. (2007). The hyperkalemic Brugada sign. Journal of Electrocardiology, 40(1), 53-59. doi:10.1016/j.jelectrocard.2006.10.057Weiss, J. N., Qu, Z., & Shivkumar, K. (2017). Electrophysiology of Hypokalemia and Hyperkalemia. Circulation: Arrhythmia and Electrophysiology, 10(3). doi:10.1161/circep.116.004667Wilde, A. A. M., Postema, P. G., Di Diego, J. M., Viskin, S., Morita, H., Fish, J. M., & Antzelevitch, C. (2010). The pathophysiological mechanism underlying Brugada syndrome. Journal of Molecular and Cellular Cardiology, 49(4), 543-553. doi:10.1016/j.yjmcc.2010.07.012Zhang, J., Sacher, F., Hoffmayer, K., O’Hara, T., Strom, M., Cuculich, P., … Rudy, Y. (2015). Cardiac Electrophysiological Substrate Underlying the ECG Phenotype and Electrogram Abnormalities in Brugada Syndrome Patients. Circulation, 131(22), 1950-1959. doi:10.1161/circulationaha.114.013698Nademanee, K., Hocini, M., & Haïssaguerre, M. (2017). Epicardial substrate ablation for Brugada syndrome. Heart Rhythm, 14(3), 457-461. doi:10.1016/j.hrthm.2016.12.001Hoogendijk, M. G., Opthof, T., Postema, P. G., Wilde, A. A. M., de Bakker, J. M. T., & Coronel, R. (2010). The Brugada ECG Pattern. Circulation: Arrhythmia and Electrophysiology, 3(3), 283-290. doi:10.1161/circep.110.937029Hoogendijk, M. G., Potse, M., Linnenbank, A. C., Verkerk, A. O., den Ruijter, H. M., van Amersfoorth, S. C. M., … Coronel, R. (2010). Mechanism of right precordial ST-segment elevation in structural heart disease: Excitation failure by current-to-load mismatch. Heart Rhythm, 7(2), 238-248. doi:10.1016/j.hrthm.2009.10.007Tsuneoka, H., Takagi, M., Murakoshi, N., Yamagishi, K., Yokoyama, Y., … Xu, D. (2016). Long‐Term Prognosis of Brugada‐Type ECG and ECG With Atypical ST‐Segment Elevation in the Right Precordial Leads Over 20 Years: Results From the Circulatory Risk in Communities Study (CIRCS). Journal of the American Heart Association, 5(8). doi:10.1161/jaha.115.002899Babai Bigi, M. A., Aslani, A., & Shahrzad, S. (2007). aVR sign as a risk factor for life-threatening arrhythmic events in patients with Brugada syndrome. Heart Rhythm, 4(8), 1009-1012. doi:10.1016/j.hrthm.2007.04.017Van Oosterom, A. (2004). ECGSIM: an interactive tool for studying the genesis of QRST waveforms. Heart, 90(2), 165-168. doi:10.1136/hrt.2003.014662O’Hara, T., Virág, L., Varró, A., & Rudy, Y. (2011). Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation. PLoS Computational Biology, 7(5), e1002061. doi:10.1371/journal.pcbi.1002061Dutta, S., Mincholé, A., Quinn, T. A., & Rodriguez, B. (2017). Electrophysiological properties of computational human ventricular cell action potential models under acute ischemic conditions. Progress in Biophysics and Molecular Biology, 129, 40-52. doi:10.1016/j.pbiomolbio.2017.02.007Cardone-Noott, L., Bueno-Orovio, A., Mincholé, A., Zemzemi, N., & Rodriguez, B. (2016). Human ventricular activation sequence and the simulation of the electrocardiographic QRS complex and its variability in healthy and intraventricular block conditions. EP Europace, 18(suppl_4), iv4-iv15. doi:10.1093/europace/euw346Pelleg, A., Mitamura, H., Price, R., Kaplinsky, E., Menduke, H., Dreifus, L. S., & Michelson, E. L. (1989). Extracellular potassium ion dynamics and ventricular arrhythmias in the canine heart. Journal of the American College of Cardiology, 13(4), 941-950. doi:10.1016/0735-1097(89)90240-4Giudicessi, J. R., Ye, D., Tester, D. J., Crotti, L., Mugione, A., Nesterenko, V. V., … Ackerman, M. J. (2011). Transient outward current (Ito) gain-of-function mutations in the KCND3-encoded Kv4.3 potassium channel and Brugada syndrome. Heart Rhythm, 8(7), 1024-1032. doi:10.1016/j.hrthm.2011.02.021Garcia-Molla, V. M., Liberos, A., Vidal, A., Guillem, M. S., Millet, J., Gonzalez, A., … Climent, A. M. (2014). Adaptive step ODE algorithms for the 3D simulation of electric heart activity with graphics processing units. Computers in Biology and Medicine, 44, 15-26. doi:10.1016/j.compbiomed.2013.10.023Atienza, F., Almendral, J., Moreno, J., Vaidyanathan, R., Talkachou, A., Kalifa, J., … Berenfeld, O. (2006). Activation of Inward Rectifier Potassium Channels Accelerates Atrial Fibrillation in Humans. Circulation, 114(23), 2434-2442. doi:10.1161/circulationaha.106.633735Ettinger, P. O., Regan, T. J., & Oldewurtel, H. A. (1974). Hyperkalemia, cardiac conduction, and the electrocardiogram: A review. American Heart Journal, 88(3), 360-371. doi:10.1016/0002-8703(74)90473-6Anselm, D. D., Gottschalk, B. H., & Baranchuk, A. (2014). Brugada Phenocopies: Consideration of Morphologic Criteria and Early Findings From an International Registry. Canadian Journal of Cardiology, 30(12), 1511-1515. doi:10.1016/j.cjca.2014.09.023Guo, J., Massaeli, H., Xu, J., Jia, Z., Wigle, J. T., Mesaeli, N., & Zhang, S. (2009). Extracellular K+ concentration controls cell surface density of IKr in rabbit hearts and of the HERG channel in human cell lines. Journal of Clinical Investigation, 119(9), 2745-2757. doi:10.1172/jci39027Sakmann, B., & Trube, G. (1984). Conductance properties of single inwardly rectifying potassium channels in ventricular cells from guinea-pig heart. The Journal of Physiology, 347(1), 641-657. doi:10.1113/jphysiol.1984.sp015088Bérubé, J., Chahine, M., & Daleau, P. (1999). Modulation of HERG potassium channel properties by external pH. Pfl�gers Archiv European Journal of Physiology, 438(3), 419-422. doi:10.1007/s004240050930Junttila, M. J., Gonzalez, M., Lizotte, E., Benito, B., Vernooy, K., Sarkozy, A., … Brugada, R. (2008). Induced Brugada-Type Electrocardiogram, a Sign for Imminent Malignant Arrhythmias. Circulation, 117(14), 1890-1893. doi:10.1161/circulationaha.107.746495Postema, P. G., Vlaar, A. P. J., DeVries, J. H., & Tan, H. L. (2011). Familial Brugada syndrome uncovered by hyperkalaemic diabetic ketoacidosis. Europace, 13(10), 1509-1510. doi:10.1093/europace/eur151Smits, J. P. ., Eckardt, L., Probst, V., Bezzina, C. R., Schott, J. J., Remme, C. A., … Wilde, A. A. . (2002). Genotype-phenotype relationship in Brugada syndrome: electrocardiographic features differentiate SCN5A-related patients from non–SCN5A-related patients. Journal of the American College of Cardiology, 40(2), 350-356. doi:10.1016/s0735-1097(02)01962-9Di Diego, J. M., Cordeiro, J. M., Goodrow, R. J., Fish, J. M., Zygmunt, A. C., Pérez, G. J., … Antzelevitch, C. (2002). Ionic and Cellular Basis for the Predominance of the Brugada Syndrome Phenotype in Males. Circulation, 106(15), 2004-2011. doi:10.1161/01.cir.0000032002.22105.7aGUILLEM, M. S., CLIMENT, A. M., MILLET, J., BERNE, P., RAMOS, R., BRUGADA, J., & BRUGADA, R. (2016). Spatiotemporal Characteristics of QRS Complexes Enable the Diagnosis of Brugada Syndrome Regardless of the Appearance of a Type 1 ECG. Journal of Cardiovascular Electrophysiology, 27(5), 563-570. doi:10.1111/jce.1293

    Effectiveness of a strategy that uses educational games to implement clinical practice guidelines among Spanish residents of family and community medicine (e-EDUCAGUIA project):A clinical trial by clusters

    Get PDF
    This study was funded by the Fondo de Investigaciones Sanitarias FIS Grant Number PI11/0477 ISCIII.-REDISSEC Proyecto RD12/0001/0012 AND FEDER Funding.Background: Clinical practice guidelines (CPGs) have been developed with the aim of helping health professionals, patients, and caregivers make decisions about their health care, using the best available evidence. In many cases, incorporation of these recommendations into clinical practice also implies a need for changes in routine clinical practice. Using educational games as a strategy for implementing recommendations among health professionals has been demonstrated to be effective in some studies; however, evidence is still scarce. The primary objective of this study is to assess the effectiveness of a teaching strategy for the implementation of CPGs using educational games (e-learning EDUCAGUIA) to improve knowledge and skills related to clinical decision-making by residents in family medicine. The primary objective will be evaluated at 1 and 6months after the intervention. The secondary objectives are to identify barriers and facilitators for the use of guidelines by residents of family medicine and to describe the educational strategies used by Spanish teaching units of family and community medicine to encourage implementation of CPGs. Methods/design: We propose a multicenter clinical trial with randomized allocation by clusters of family and community medicine teaching units in Spain. The sample size will be 394 residents (197 in each group), with the teaching units as the randomization unit and the residents comprising the analysis unit. For the intervention, both groups will receive an initial 1-h session on clinical practice guideline use and the usual dissemination strategy by e-mail. The intervention group (e-learning EDUCAGUIA) strategy will consist of educational games with hypothetical clinical scenarios in a virtual environment. The primary outcome will be the score obtained by the residents on evaluation questionnaires for each clinical practice guideline. Other included variables will be the sociodemographic and training variables of the residents and the teaching unit characteristics. The statistical analysis will consist of a descriptive analysis of variables and a baseline comparison of both groups. For the primary outcome analysis, an average score comparison of hypothetical scenario questionnaires between the EDUCAGUIA intervention group and the control group will be performed at 1 and 6months post-intervention, using 95% confidence intervals. A linear multilevel regression will be used to adjust the model. Discussion: The identification of effective teaching strategies will facilitate the incorporation of available knowledge into clinical practice that could eventually improve patient outcomes. The inclusion of information technologies as teaching tools permits greater learning autonomy and allows deeper instructor participation in the monitoring and supervision of residents. The long-term impact of this strategy is unknown; however, because it is aimed at professionals undergoing training and it addresses prevalent health problems, a small effect can be of great relevance. Trial registration: ClinicalTrials.gov: NCT02210442.Publisher PDFPeer reviewe

    Outpatient Parenteral Antibiotic Treatment vs Hospitalization for Infective Endocarditis: Validation of the OPAT-GAMES Criteria

    Get PDF

    Elaboración de contenidos docentes sobre expresión artística para su difusión en abierto (OCW) y cerrado(Studium). Implementación de asignaturas para las nuevas metodologías de aprendizaje en el EEES

    Get PDF
    Memoria ID-0203. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2009-2010.Los objetivos que se plantearon en la solicitud de este proyecto fueron la creación de contenidos generales y específicos para las diferentes asignaturas troncales y optativas que imparten los profesores del equipo solicitante, con el fin inmediato de promover su difusión en la plataforma STUDIUM, y posteriormente utilizar este medio como complemento en la enseñanza de las diferentes materias

    Elaboración de contenidos docentes sobre expresión artística. Implementación de asignaturas en Studium para las nuevas tecnologías de aprendizaje en el EEES

    Get PDF
    Memoria ID-058. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2010-2011.Este proyecto de innovación 2010-11 contó con una financiación de 525 euros que se invirtió en la adquisición de una cámara de fotos Canon de gran resolución. Esto ha facilitado que los miembros del equipo hayamos podido realizar un importante elenco de material gráfico digitalizado sobre los resultados de las imágenes de nuestros estudiantes (unas 200 imágenes), muchas de las cuales ya las hemos ido incorporado como material docente en distintos apartados de las asignaturas implementadas en abierto y cerrado. El resto de material gráfico estará disponible para seguir ilustrando otras asignaturas que se van a implementar el curso próximo: tanto la programación general, como los materiales de clase por temas y la ilustración gráfica de las prácticas

    Recurrent acute interstitial nephritis: what lies beneath

    No full text
    Background: Acute interstitial nephritis (AIN) is an emerging cause of acute kidney disease. While this disease usually follows an acute course, it may occasionally recur, representing a major challenge for the clinician. Methods: We performed a retrospective, observational cohort study in 13 nephrology departments belonging to the Spanish Group for the Study of Glomerular Diseases. Patients with biopsy-proven AIN between 1996 and 2018 were included. Results: The study group consisted of 205 patients with AIN, 22 of which developed recurrent AIN (RAIN) after a median of 111 days from diagnosis. RAIN was due to a surreptitious reintroduction of a previously known implicated drug or toxic in six patients (27%), sarcoidosis in two (9%), Sjögren's syndrome in three (14%), light-chain-mediated AIN in two (9%) and tubulointerstitial nephritis and uveitis syndrome in two (9%), while in the rest of cases (32%), no precise cause could be identified. Microscopic haematuria was more frequent in patients with underlying systemic diseases. The first RAIN episode was treated with a repeated course of corticosteroids in 21 patients (95%). In six cases (27%), azathioprine and mycophenolate mofetil were added as corticosteroid-sparing agents. During a median follow-up of 30 months, 50 patients (27%) with no recurrences and 12 patients (55%) with RAIN reached Stages 4 and 5 chronic kidney disease (CKD). By multivariable logistic regression analysis, RAIN was independently associated with the risk of reaching Stages 4 and 5 CKD, even after adjusting for potential covariables. Conclusions: RAIN is infrequent but is associated with poor kidney survival. RAIN should prompt clinicians to search for an underlying aetiology other than drug induced. However, in a large percentage of cases, no precise cause can be identified
    corecore