Search

Your search keyword '"Narayan, Sanjiv M"' showing total 1,432 results
Start Over Author "Narayan, Sanjiv M"
1,432 results on '"Narayan, Sanjiv M"'

202. Highlights of the Year in JACC 2008

Author

DeMaria, Anthony N., Ben-Yehuda, Ori, Bax, Jeroen J., Feld, Gregory K., Greenberg, Barry H., Lew, Wilbur Y.W., Lima, João A.C., Maisel, Alan S., Narayan, Sanjiv M., Sahn, David J., and Tsimikas, Sotirios

Published
2009
Full Text
View/download PDF

208. Contributors

Author

Abriel, Hugues, primary, Adkisson, Wayne O., additional, Agullo-Pascual, Esperanza, additional, Ajijola, Olujimi A., additional, Al-Ahmad, Amin, additional, Alli, Oluseun, additional, Altman, Robert K., additional, Anter, Elad, additional, Antzelevitch, Charles, additional, Anumonwo, Justus M.B., additional, Armaganijan, Luciana, additional, Ashikaga, Hiroshi, additional, Atienza, Felipe, additional, Avula, Uma Mahesh R., additional, Backx, Peter H., additional, Balse, Elise, additional, Barrett, Conor D., additional, Benditt, David G., additional, Berenfeld, Omer, additional, Bers, Donald M., additional, Berul, Charles I., additional, Blank, A. Christian, additional, Bloise, Raffaella, additional, Bogun, Frank Matthias, additional, Borggrefe, Martin, additional, Boyle, Noel G., additional, Breithardt, Günter, additional, Brini, Marisa, additional, Brink, Peter R., additional, Brugada, Josep, additional, Brugada, Pau, additional, Brugada, Pedro, additional, Brugada, Ramon, additional, Brugada, Victoria, additional, Buch, Eric, additional, Bukauskas, Feliksas F., additional, Burkhardt, J. David, additional, Bursac, Nenad, additional, Calkins, Hugh, additional, Callans, David J., additional, Campuzano, Oscar, additional, Caples, Sean M., additional, Carafoli, Ernesto, additional, Castellanos, Augustin, additional, Catterall, William, additional, Cerrone, Marina, additional, Chen, Lan S., additional, Chen, Lei, additional, Chen, Peng-Sheng, additional, Chin, Ashley, additional, Chugh, Aman, additional, Cohen, Ira S., additional, Connolly, Stuart J., additional, Constantino, Jason, additional, Crotti, Lia, additional, Cuoco, Frank A., additional, Curtis, Anne B., additional, Damiano, Ralph J., additional, Darbar, Dawood, additional, Das, Mithilesh K., additional, Delmar, Mario, additional, Delpón, Eva, additional, Di Biase, Luigi, additional, Dixit, Sanjay, additional, Dobrev, Dobromir, additional, Dosdall, Derek J., additional, Dyer, John W., additional, Eckardt, Lars, additional, Edwards, Andrew G., additional, Efimov, Igor R., additional, Ellenbogen, Kenneth A., additional, Ellinor, Patrick T., additional, Entcheva, Emilia, additional, Estes, N.A. Mark, additional, Fischmeister, Rodolphe, additional, Fisher, John D., additional, Fishman, Glenn I., additional, Frankel, David S., additional, Franz, Michael R., additional, Friedman, Paul A., additional, Froelicher, Victor F., additional, Gami, Apoor S., additional, George, Alfred L., additional, Gerstenfeld, Edward P., additional, Gold, Michael R., additional, Goldberger, Jeffrey J., additional, Grandi, Eleonora, additional, Gray, Richard A., additional, Groh, William J., additional, Grubb, Blair P., additional, Haissaguerre, Michel, additional, Hake, Johan, additional, Halperin, Henry R., additional, Harris, Louise, additional, Hatem, Stéphane, additional, Hayes, David L., additional, Hocini, Meleze, additional, Hohnloser, Stefan H., additional, Holmes, David Richard, additional, Hoshijima, Masahiko, additional, Hu, Yuxuan, additional, Hund, Thomas J., additional, Hutchinson, Mathew D., additional, Hwang, Hye Jin, additional, Ideker, Raymond E., additional, Ilkhanoff, Leonard, additional, Ingles, Jodie, additional, Jackman, Warren M., additional, Jais, Pierre, additional, Jalife, José, additional, Jhun, Bong Sook, additional, John, Roy M., additional, Jongbloed, Monique, additional, Josephson, Mark E., additional, Kadish, Alan H., additional, Kalifa, Jérôme, additional, Kalman, Jonathan M., additional, Kamp, Timothy J., additional, Kanj, Mohamed Hani, additional, Karabin, Beverly, additional, Kass, Robert S., additional, Katritsis, Demosthenes G., additional, Kaur, Kuljeet, additional, Kim, Jong J., additional, Kirchhof, Paulus, additional, Kléber, André G., additional, Klein, George J., additional, Kohl, Peter, additional, Kolandaivelu, Aravindan, additional, Krahn, Andrew D., additional, Krumerman, Andrew, additional, Kumar, Saurabh, additional, Kuck, Karl-Heinz, additional, Lakatta, Edward G., additional, Latchamsetty, Rakesh, additional, Lau, Dennis H., additional, Lerman, Bruce B., additional, Leroy, Jérôme, additional, Lewis, William R., additional, Lin, Shien-Fong, additional, Link, Mark S., additional, Liu, Christopher F., additional, Lockwood, Deborah J., additional, Loh, Peter, additional, Lopatin, Anatoli N., additional, Lopshire, John C., additional, Lubitz, Steven A., additional, Madias, Christopher, additional, Mahajan, Aman, additional, Makielski, Jonathan C., additional, Malik, Marek, additional, Maltsev, Victor A., additional, Marchlinski, Francis E., additional, Marelli, Ariane J., additional, Markowitz, Steven M., additional, Maron, Barry J., additional, Martens, Jeffrey R., additional, Marx, Steven O., additional, McCulloch, Andrew D., additional, Metzner, Andreas, additional, Michailova, Anuska P., additional, Miller, John Michael, additional, Milstein, Michelle Lynne, additional, Mohler, Peter, additional, Morady, Fred, additional, Myerburg, Robert J., additional, Nakagawa, Hiroshi, additional, Napolitano, Carlo, additional, Narayan, Sanjiv M., additional, Natale, Andrea, additional, Nattel, Stanley, additional, Nazarian, Saman, additional, Nerbonne, Jeanne M., additional, Ng, Fu Siong, additional, Nogami, Akihiko, additional, Noujaim, Sami F., additional, Olshansky, Brian, additional, Oral, Hakan, additional, O-Uchi, Jin, additional, Ouyang, Feifan, additional, Ozcan, Cevher, additional, Packer, Douglas L., additional, Pahlm, Olle, additional, Pandit, Sandeep V., additional, Park, David S., additional, Pitt, Geoffrey S., additional, Po, Sunny S., additional, Priori, Silvia G., additional, Rappel, Wouter-Jan, additional, Reddy, Vivek Y., additional, Robertson, Jason O., additional, Robinson, Richard B., additional, Roden, Dan M., additional, Rose, Robert A., additional, Rosen, Michael R., additional, Rosso, Raphael, additional, Rudy, Yoram, additional, Ruskin, Jeremy N., additional, Sabbah, Hani N., additional, Sachse, Frank B., additional, Saint, Lindsey L., additional, Saiz, Javier, additional, Sánchez-Chapula, José A., additional, Sanders, Prashanthan, additional, Sanguinetti, Michael C., additional, Santangeli, Pasquale, additional, Sarquella-Brugada, Georgia, additional, Satin, Jonathan, additional, Schalij, Martin Jan, additional, Scherlag, Benjamin J., additional, Schimpf, Rainer, additional, Schmidt, Georg, additional, Schwartz, Peter J., additional, Semsarian, Christopher, additional, Shah, Ashok J., additional, Shaw, Robin, additional, Sheu, Shey Shing, additional, Shivkumar, Kalyanam, additional, Skanes, Allan C., additional, Somers, Virend K., additional, Stambler, Bruce S., additional, Stein, Adam B., additional, Stevenson, Lynne Warner, additional, Stevenson, William G., additional, Sun, Jian, additional, Sutton, Richard, additional, Sweeney, Michael O., additional, Swerdlow, Charles, additional, Tamargo, Juan, additional, Tandri, Harikrishna, additional, Tawil, Rabi, additional, Tedrow, Usha, additional, Terrenoire, Cecile, additional, Tobón, Catalina, additional, Towbin, Jeffrey A., additional, Trayanova, Natalia A., additional, Tristani-Firouzi, Martin, additional, Trohman, Richard G., additional, Tseng, Zian H., additional, Turakhia, Mintu P., additional, Vaidyanathan, Ravi, additional, Valdivia, Héctor H., additional, Valiunas, Virginijus, additional, van der Heyden, Marcel A.G., additional, van der Werf, Christian, additional, Van, George F., additional, Vaseghi, Marmar, additional, Veltmann, Christian, additional, Vetter, Victoria L., additional, Viskin, Sami, additional, Voigt, Niels, additional, Vos, Marc A., additional, Wagner, Galen S., additional, Wang, Paul J., additional, Weerasooriya, Rukshen, additional, Wilde, Arthur A.M., additional, Wilkoff, Bruce L., additional, Wissner, Erik, additional, Woo, Y. Joseph, additional, Yamazaki, Masatoshi, additional, Yang, Felix, additional, Yaniv, Yael, additional, Yap, Sing-Chien, additional, Yee, Raymond, additional, Zarzoso, Manuel, additional, Zeppenfeld, Katja, additional, and Zipes, Douglas P., additional

Published
2014
Full Text
View/download PDF

210. B-PO01-081 MACHINE LEARNING OF THE ELECTROCARDIOGRAM IDENTIFIES CARDIAC WALL MOTION ABNORMALITIES BEYOND THE Q WAVE

Author

Rogers, Albert Joseph, primary, Bhatia, Neal Kumar, additional, Tooley, James, additional, Thakkar, Vyom, additional, Torres, Jessica, additional, Xu, Justin, additional, Singh Tung, Jagteshwar, additional, Alhusseini, Mahmood I., additional, Clifford, Gari, additional, Merchant, Faisal M., additional, Bailis, Peter, additional, Clopton, Paul, additional, Ashley, Euan, additional, Perez, Marco, additional, Zaharia, Matei, additional, and Narayan, Sanjiv M., additional

Published
2021
Full Text
View/download PDF

220. B-PO05-012 PREDICTING ATRIAL FIBRILLATION RECURRENCE BY COMBINING POPULATION DATA & PATIENT-SPECIFIC MODELING

Author

Roney, Caroline H., primary, Sim, Iain, additional, Yu, Jin, additional, Beach, Marianne, additional, Mehta, Arihant, additional, Solis-Lemus, Jose, additional, Kotadia, Irum, additional, Whitaker, John, additional, Razeghi, Orod, additional, Vigmond, Edward J., additional, Narayan, Sanjiv M., additional, O'Neill, Mark D., additional, Williams, Steven E., additional, and Niederer, Steven A., additional

Published
2021
Full Text
View/download PDF

223. Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping

Author

Generalitat Valenciana, National Institutes of Health, EEUU, Rodrigo, Miguel, Waddell, Kian, Magee, Sarah, Rogers, Albert J., Alhusseini, Mahmood, Hernández-Romero, Ismael, Costoya-Sánchez, Alejandro, Liberos, Alejandro, Narayan, Sanjiv M., Generalitat Valenciana, National Institutes of Health, EEUU, Rodrigo, Miguel, Waddell, Kian, Magee, Sarah, Rogers, Albert J., Alhusseini, Mahmood, Hernández-Romero, Ismael, Costoya-Sánchez, Alejandro, Liberos, Alejandro, and Narayan, Sanjiv M.

Abstract

[EN] Introduction: Regional differences in activation rates may contribute to the electrical substrates that maintain atrial fibrillation (AF), and estimating them non-invasively may help guide ablation or select anti-arrhythmic medications. We tested whether non-invasive assessment of regional AF rate accurately represents intracardiac recordings. Methods: In 47 patients with AF (27 persistent, age 63 +/- 13 years) we performed 57-lead non-invasive Electrocardiographic Imaging (ECGI) in AF, simultaneously with 64-pole intracardiac signals of both atria. ECGI was reconstructed by Tikhonov regularization. We constructed personalized 3D AF rate distribution maps by Dominant Frequency (DF) analysis from intracardiac and non-invasive recordings. Results: Raw intracardiac and non-invasive DF differed substantially, by 0.54 Hz [0.13 - 1.37] across bi-atrial regions (R-2 = 0.11). Filtering by high spectral organization reduced this difference to 0.10 Hz (cycle length difference of 1 - 11 ms) [0.03 - 0.42] for patient-level comparisons (R-2 = 0.62), and 0.19 Hz [0.03 - 0.59] and 0.20 Hz [0.04 - 0.61] for median and highest DF, respectively. Non-invasive and highest DF predicted acute ablation success (p = 0.04). Conclusion: Non-invasive estimation of atrial activation rates is feasible and, when filtered by high spectral organization, provide a moderate estimate of intracardiac recording rates in AF. Non-invasive technology could be an effective tool to identify patients who may respond to AF ablation for personalized therapy.

Published
2021

227. Highlights of the Year in JACC 2007

Author

DeMaria, Anthony N., Bax, Jeroen J., Ben-Yehuda, Ori, Clopton, Paul, Feld, Gregory K., Ginsburg, Geoffrey S., Greenberg, Barry H., Knoke, James D., Lew, Wilbur Y.W., Lima, João A.C., Maisel, Alan S., Narayan, Sanjiv M., Narula, Jagat, Sahn, David J., and Tsimikas, Sotirios

Published
2008
Full Text
View/download PDF

241. Mechanisms of conduction slowing during myocardial stretch by ventricular volume loading in the rabbit

Author

Mills, Robert W., Narayan, Sanjiv M., and McCulloch, Andrew D.

Subjects
Membrane potentials -- Measurement, Bioelectrochemistry -- Research, Ion channels -- Properties, Biological sciences
Abstract

Acute ventricular loading by volume inflation reversibly slows epicardial electrical conduction, but the underlying mechanism remains unclear. This study investigated the potential contributions of stretch-activated currents, alterations in resting membrane potential, or changes in intercellular resistance and membrane capacitance. Conduction velocity was assessed using optical mapping of isolated rabbit hearts at end-diastolic pressures of 0 and 30 mmHg. The addition of 50 [micro]M [Gd.sup.3+] (a stretch-activated channel blocker) to the perfusate had no effect on slowing. The effect of volume loading on conduction velocity was independent of changes in resting membrane potential created by altering the perfusate potassium concentration between 1.5 and 8 mM. Bidomain model analysis of optically recorded membrane potential responses to a unipolar stimulus suggested that the cross-fiber space constant and membrane capacitance both increased with loading (21%, P = 0.006, and 56%, P = 0.004, respectively), and these changes, when implemented in a resistively coupled one-dimensional network model, were consistent with the observed slowing (14%, P = 0.005). In conclusion, conduction slowing during ventricular volume loading is not attributable to stretch-activated currents or altered resting membrane potential, but a reduction of intercellular resistance with a concurrent increase of effective membrane capacitance results in a net slowing of conduction. mechanoelectric feedback; stretch-activated channels; resting membrane potential; electrical constants; membrane capacitance

Published
2008

244. Noninvasive Assessment of Complexity of Atrial Fibrillation Correlation With Contact Mapping and Impact of Ablation

Author

Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia, Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, EIT Health, Generalitat Valenciana, Instituto de Salud Carlos III, European Regional Development Fund, National Institutes of Health, EEUU, Ministerio de Economía y Competitividad, RODRIGO BORT, MIGUEL, Martínez Climent, Batiste Andreu, Hernández-Romero, Ismael, Liberos Mascarell, Alejandro, Baykaner, Tina, Rogers, Albert J., Alhusseini, Mahmood, Wang, Paul J., Fernández-Avilés, Francisco, Guillem Sánchez, María Salud, Narayan, Sanjiv M., Atienza, Felipe, Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia, Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, EIT Health, Generalitat Valenciana, Instituto de Salud Carlos III, European Regional Development Fund, National Institutes of Health, EEUU, Ministerio de Economía y Competitividad, RODRIGO BORT, MIGUEL, Martínez Climent, Batiste Andreu, Hernández-Romero, Ismael, Liberos Mascarell, Alejandro, Baykaner, Tina, Rogers, Albert J., Alhusseini, Mahmood, Wang, Paul J., Fernández-Avilés, Francisco, Guillem Sánchez, María Salud, Narayan, Sanjiv M., and Atienza, Felipe

Abstract

[EN] Background: It is difficult to noninvasively phenotype atrial fibrillation (AF) in a way that reflects clinical end points such as response to therapy. We set out to map electrical patterns of disorganization and regions of reentrant activity in AF from the body surface using electrocardiographic imaging, calibrated to panoramic intracardiac recordings and referenced to AF termination by ablation. Methods: Bi-atrial intracardiac electrograms of 47 patients with AF at ablation (30 persistent, 29 male, 63 +/- 9 years) were recorded with 64-pole basket catheters and simultaneous 57-lead body surface ECGs. Atrial epicardial electrical activity was reconstructed and organized sites were invasively and noninvasively tracked in 3-dimension using phase singularity. In a subset of 17 patients, sites of AF organization were targeted for ablation. Results: Body surface mapping showed greater AF organization near intracardially detected drivers than elsewhere, both in phase singularity density (2.3 +/- 2.1 versus 1.9 +/- 1.6; P=0.02) and number of drivers (3.2 +/- 2.3 versus 2.7 +/- 1.7; P=0.02). Complexity, defined as the number of stable AF reentrant sites, was concordant between noninvasive and invasive methods (r(2)=0.5; CC=0.71). In the subset receiving targeted ablation, AF complexity showed lower values in those in whom AF terminated than those in whom AF did not terminate (P<0.01). Conclusions: AF complexity tracked noninvasively correlates well with organized and disorganized regions detected by panoramic intracardiac mapping and correlates with the acute outcome by ablation. This approach may assist in bedside monitoring of therapy or in improving the efficacy of ongoing ablation procedures.

Published
2020

245. Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation

Author

Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia, Nvidia, EIT Health, Generalitat Valenciana, Instituto de Salud Carlos III, European Regional Development Fund, National Institutes of Health, EEUU, Ministerio de Economía y Competitividad, Costoya-Sánchez, Alejandro, Climent, Andreu M., Hernández-Romero, Ismael, Liberos Mascarell, Alejandro, Fernández-Avilés, Francisco, Narayan, Sanjiv M., Atienza, Felipe, Guillem Sánchez, María Salud, RODRIGO BORT, MIGUEL, Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia, Nvidia, EIT Health, Generalitat Valenciana, Instituto de Salud Carlos III, European Regional Development Fund, National Institutes of Health, EEUU, Ministerio de Economía y Competitividad, Costoya-Sánchez, Alejandro, Climent, Andreu M., Hernández-Romero, Ismael, Liberos Mascarell, Alejandro, Fernández-Avilés, Francisco, Narayan, Sanjiv M., Atienza, Felipe, Guillem Sánchez, María Salud, and RODRIGO BORT, MIGUEL

Abstract

[EN] Identification of reentrant activity driving atrial fibrillation (AF) is increasingly important to ablative therapies. The goal of this work is to study how the automatically-classified quality of the electrograms (EGMs) affects reentrant AF driver localization. EGMs from 259 AF episodes obtained from 29 AF patients were recorded using 64-poles basket catheters and were manually classified according to their quality. An algorithm capable of identifying signal quality was developed using time and spectral domain parameters. Electrical reentries were identified in 3D phase maps using phase transform and were compared with those obtained with a 2D activation-based method. Effect of EGM quality was studied by discarding 3D phase reentries detected in regions with low-quality EGMs. Removal of reentries identified by 3D phase analysis in regions with low-quality EGMs improved its performance, increasing the area under the ROC curve (AUC) from 0.69 to 0.80. The EGMs quality classification algorithm showed an accurate performance for EGM classification (AUC 0.94) and reentry detection (AUC 0.80). Automatic classification of EGM quality based on time and spectral signal parameters is feasible and accurate, avoiding the manual labelling. Discard of reentries identified in regions with automatically-detected poor-quality EGMs improved the specificity of the 3D phase-based method for AF driver identification.

Published
2020

248. Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death

Author

Rogers, Albert J., primary, Selvalingam, Anojan, additional, Alhusseini, Mahmood I., additional, Krummen, David E., additional, Corrado, Cesare, additional, Abuzaid, Firas, additional, Baykaner, Tina, additional, Meyer, Christian, additional, Clopton, Paul, additional, Giles, Wayne, additional, Bailis, Peter, additional, Niederer, Steven, additional, Wang, Paul J., additional, Rappel, Wouter-Jan, additional, Zaharia, Matei, additional, and Narayan, Sanjiv M., additional

Published
2021
Full Text
View/download PDF

250. Competing Risks in Patients with Primary Prevention Implantable Cardioverters Defibrillators: Global Electrical Heterogeneity and Clinical Outcomes (GEHCO) Study

Author

Waks, Jonathan W., primary, Haq, Kazi T., additional, Tompkins, Christine, additional, Rogers, Albert J., additional, Ehdaie, Ashkan, additional, Bender, Aron, additional, Minnier, Jessica, additional, Dalouk, Khidir, additional, Howell, Stacey, additional, Peiris, Achille, additional, Raitt, Merritt, additional, Narayan, Sanjiv M., additional, Chugh, Sumeet S., additional, and Tereshchenko, Larisa G., additional

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results