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6. Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19

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Einstein, A, Hirschfeld, C, Williams, M, Vitola, J, Better, N, Villines, T, Cerci, R, Shaw, L, Choi, A, Dorbala, S, Karthikeyan, G, Lu, B, Sinitsyn, V, Ansheles, A, Kudo, T, Bucciarelli-Ducci, C, Norgaard, B, Maurovich-Horvat, P, Campisi, R, Milan, E, Louw, L, Allam, A, Bhatia, M, Sewanan, L, Malkovskiy, E, Cohen, Y, Randazzo, M, Narula, J, Morozova, O, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Hinterleitner, G, Lu, Y, Xu, Z, Erinne, I, Shetty, M, Lopez-Mattei, J, Parwani, P, Goda, A, Shirka, E, Bouyoucef, S, Chelghoum, L, Mansouri, F, Medjahedi, A, Naili, Q, Ridouh, M, Alasia, D, Alberghina, L, Aramayo, N, Buchara, D, Busso, F, Bustos Rivadero, J, Camilletti, J, Campanelli, H, Castro, R, Daicz, M, del Riego, H, Dragonetti, L, Echazarreta, D, Erriest, J, Faccio, F, Facello, A, Gallegos, H, Geronazzo, R, Glait, H, Hasbani, V, Jager, V, Lewkowicz, J, Lotti, J, Maciel, N, Masoli, O, Mastrovito, E, Medus, M, Merani, M, Molteni, S, Montecinos, M, Parisi, G, Sueldo, C, Perez de Arenaza, D, Quintana, L, Radzinschi, A, Redruello, M, Rodriguez, M, Rojas, H, Acuna, A, Schere, D, Traverso, S, Vazquez, G, Zeffiro, S, Sakanyan, M, Beuzeville, S, Boktor, R, Crowley, M, Downie, D, Dwivedi, G, Elison, B, Farouque, O, Jasper, K, Joshi, S, Lee, J, Lee, K, Lui, E, Mcconachie, P, Meaker, J, Nandurkar, D, Neill, J, O'Rourke, E, O'Sullivan, P, Pandos, G, Premaratne, M, Prior, D, Rutherford, N, Saunders, C, Taubman, K, Tauro, A, Taylor, A, Theuerle, J, Thomas, P, Tow, J, Upton, A, Vamadevan, S, Wayne, V, Wegner, E, Wong, D, Younger, J, Beitzke, D, Feuchtner, G, Sommer, O, Weiss, K, Maroz-Vadalazhskaya, N, Tserakhau, U, Homans, F, Van De Heyning, C, Araujo, R, Soldat-Stankovic, V, Stankovic, S, Almeida, A, Anselmi, C, Azevedo, G, Bittencourt, M, Pianta, D, Cabeda, E, Carreira, L, Coelho, I, de Amorim Fernandes, F, de Lorenzo, A, Delgado, R, Erthal, F, Fernandes, F, Fernandes, J, Ferreira de Souza, T, Foppa, M, Matos Alves, W, Gontijo, C, Gottlieb, I, Grossman, G, Albernaz Siqueira, M, Nomura, C, Koga, K, Lima, R, Lopes, R, Marcal Filho, H, Masiero, P, Mastrocola, L, Menezes de Siqueira, M, Mesquita, C, Naves, D, Penna, F, Pinto, I, Rocha, T, Rocha, J, Rodrigues, A, Salioni, L, Sanches, A, Santos, M, Da Silva, L, Schvartzman, P, Matushita, C, Senra, T, Silva, M, Soares, C, Spiro, B, Suaide Silva, C, Torres, R, Monte, G, Vilela, A, Villa, A, Voss, T, Waltrick, R, Zapparoli, M, Naseer, H, Garcheva-Tsacheva, M, Ouattara, T, Thou, S, Varoeun, S, Abikhzer, G, Beanlands, R, Chetrit, M, Dabreo, D, Dennie, C, Friedrich, M, Hafez, M, Hanneman, K, Miller, R, Oikonomou, A, Roifman, I, Small, G, Tandon, V, Trivedi, A, White, J, Zukotynski, K, Alay, R, Concha, C, Massardo, T, Abad, P, Anzola, K, Arturo, H, Benitez, L, Cadena, A, Zamudio, C, Calderon, A, Gutierrez Villamil, C, Jaimes, C, Londono, J, Lopez, N, Merlano-Gaitan, S, Murgieitio-Cabrera, R, Valencia, M, Vergel, D, Santamaria, A, Solis, F, Batinic, T, Franceschi, M, Paar, M, Prpic, M, Felipe Batista, C, Cabrera, L, Peix, A, Pena, Y, Rochela Vazquez, L, Ntalas, I, Kaminek, M, Kincl, V, Lang, O, Abdulla, J, Bottcher, M, Busk, M, Geisler, U, Gormsen, L, Hansson, N, Hess, S, Hove, J, Jensen, L, Jensen, M, Kragholm, K, Ovrehus, K, Rasmussen, J, Ronnow Sand, N, Sondergaard, H, Zaremba, T, Speckter, H, Amores, N, Velez, M, Alrahman, T, Elsamad, S, Abdelfattah, A, Elkaffas, S, Hassan, M, Hussein, E, Ibrahim, A, Kandeel, A, Ali, M, Shaaban, M, Flores, C, Gomez Leiva, V, Liiver, A, Larikka, M, Uusitalo, V, Agostini, D, Berger, C, Dietz, M, Hyafil, F, Ohana, M, Prigent, K, Regaieg, H, Sarda-Mantel, L, H-Ici, D, Ayetey, H, Angelidis, G, Fragkaki, C, Fragkiadaki, C, Georgoulias, P, Koutelou, M, Kyrozi, E, Lama, N, Prassopoulos, V, Spartalis, M, Zaglavara, T, Gonzalez, C, Gutierrez, G, Maldonado, A, Martinez, Y, Kovacs, A, Szilveszter, B, Banthia, N, Bhat, V, Choudhury, P, Chowdekar, V, Christopher, J, Garg, T, Goyal, N, Gupta, R, Gupta, A, Hephzibah, J, Jain, S, Krupa, J, Kumar, P, Kumar, S, Lalchandani, A, Mishra, A, Mishra, V, Mohan, P, Ozair, A, Pandey, S, Parameswaran, R, Patel, C, Patel, T, Patel, S, Vimala, L, Kumar Sarangi, D, Sengupta, S, Sethi, A, Sharma, A, Sharma, P, Shrigiriwar, A, Singh, S, Singh, H, Sood, A, Verma, A, Vyas, A, Soeriadi, E, Bun, E, Hutomo, F, Syawaluddin, H, Yudistiro, R, Albadr, A, Assadi, M, Emami, F, Emami-Ardekani, A, Farzanehfar, S, Jafari, R, Manafi-Farid, R, Tajik, M, Arnson, Y, Fuchs, S, Goldkorn, R, Kennedy, J, Leitman, M, Shalev, A, Acampa, W, Albano, D, Alongi, P, Arnone, G, Assante, R, Baritussio, A, Bauckneht, M, Bianco, F, Bonfiglioli, R, Bovenzi, F, Bruno, I, Bruno, A, Busnardo, E, Califaretti, E, Casoni, R, Censullo, V, Chierichetti, F, Chiocchi, M, Cittanti, C, Clemente, A, Cuocolo, A, De Rimini, M, De Vincentis, G, Della Tommasina, V, Dellegrottaglie, S, Erba, P, Evangelista, L, Faggi, L, Faragasso, E, Florimonte, L, Frantellizzi, V, Gatti, M, Gaudiano, A, Gelardi, F, Gerali, A, Gimelli, A, Guglielmo, M, Leccisotti, L, Liga, R, Liguori, C, Longo, G, Maffione, M, Marcassa, C, Matassa, G, Mele, D, Mircoli, L, Paccagnella, A, Pacella, S, Padovano, F, Pellegrini, D, Pergola, V, Pugliese, L, Quartuccio, N, Rampin, L, Ricci, F, Rubini, G, Russo, V, Sambuceti, G, Scatteia, A, Sciagra, R, Spidalieri, G, Stefanelli, A, Tedeschi, C, Ventroni, G, Baugh, D, Madu, E, Aikawa, T, Asano, H, Fujimoto, S, Fujise, K, Fukushima, Y, Fukuyama, K, Ichikawa, Y, Ideguchi, R, Iguchi, N, Imai, M, Ishimura, H, Isobe, S, Ito, K, Izawa, Y, Kadokami, T, Kasai, T, Kato, T, Kawamoto, T, Kiryu, S, Kumita, S, Manabe, O, Maruno, H, Matsumoto, N, Miyagawa, M, Moroi, M, Nagamachi, S, Nakajima, K, Nakazato, R, Nanasato, M, Naya, M, Norikane, T, Ohta, Y, Otomi, Y, Otsuka, H, Oyama-Manabe, N, Saito, M, Sarai, M, Sato, J, Sato, D, Shiraishi, S, Takanami, K, Takehana, K, Taniguchi, Y, Teragawa, H, Tomizawa, N, Umeji, K, Wakabayashi, Y, Yamada, S, Yamazaki, S, Yoneyama, T, Rawashdeh, M, Dautov, T, Makhdomi, K, Abass, M, Garashi, M, Siraj, Q, Kalnina, M, Haidar, M, Komiagiene, R, Kviecinskiene, G, Vajauskas, D, Karim, N, Doucoure, M, Reichmuth, L, Samuel, A, Dieng, M, Naojee, A, Hernandez, E, Alducin Tellez, C, Alexanderson-Rosas, E, Barragan, E, Cabada, M, Calderon, D, Carvajal-Juarez, I, Esparza, J, Gama-Moreno, M, Quinto, V, Gonzalez, N, Herrera-Zarza, M, Meave, A, Medina Verdugo, J, Melendez, G, Morales Murguia, R, Navarro Quiroz, C, Ornelas, M, Preciado-Anaya, A, Preciado-Gutierrez, O, Puente, A, Salazar, A, Rosales Uvera, S, Rosales-Uvera, S, Serna Macias, J, Sierra-Galan, L, Tirado Alderete, J, Vallejo, E, Faraggi, M, Sereegotov, E, Ben Rais, N, Alaoui, N, Kyiphyu, T, Oo, S, Win, S, Zar, H, Ghimire, R, Neupane, M, Glaudemans, A, Slart, R, Verschure, D, Allen, B, Edmond, J, Mckenzie, C, Tie, S, Van Pelt, N, Worthington, K, Young, C, Soli, I, Kana, S, Onubogu, U, Sani, M, Braten, A, Jorgensen, A, Vassbotn, H, Al Dhuhli, H, Jawa, Z, Tag, N, Fatima, S, Imran, M, Younis, M, Saadullah, M, Malo, Y, Lenturut-Katal, D, Castillo, M, Ortellado, J, Akhter, A, Cader, F, Hussain, R, Khan, S, Mandal, T, Nasreen, F, An, Y, Cao, D, Gong, L, Hou, Y, Jia, C, Li, T, Li, C, Liu, H, Liu, W, Liu, J, Ng, M, Shi, H, Tang, C, Wang, X, Wang, Z, Wang, Y, Wu, J, Yi, Y, Yuan, L, Zhang, T, Zhang, L, Chavez, E, Cruz, C, Llontop, C, Morales, R, Abrihan, P, Bustos-Barroso, A, Duldulao-Ogbac, M, Eduarte, C, Obaldo, J, Quinon, A, San Juan, B, San Juan, C, Sauler-Gomez, M, Uy, M, Kostkiewicz, M, Kunikowska, J, Teresinska, A, Urbanik, T, Bettencourt, N, Fontes-Carvalho, R, Gavina, C, Goncalves, L, Macedo, F, Moreno, N, Sousa, C, Timoteo, A, Vidigal, M, Al Heidous, M, Ramanathan, S, Arnous, S, Aytani, S, Byrne, A, Gleeson, T, Kerins, D, O'Brien, J, Bang, J, Bom, H, Cheon, M, Cheon, G, Cho, S, Hong, C, Jeong, Y, Kang, W, Kang, Y, Kim, J, Oh, S, So, Y, Song, H, Won, K, Yoo, S, Mitevska, I, Vavlukis, M, Salobir, B, Stalc, M, Benedek, T, Pop, M, Stan, C, Dariy, O, Gagarina, N, Itskovich, I, Karalkin, A, Kokov, A, Marina, G, Migunova, E, Pospelov, V, Ryzhkova, D, Sayfullina, G, Sergienko, V, Shurupova, I, Vakhromeeva, M, Valiullina, N, Zavadovsky, K, Zhuravlev, K, Abazid, R, Al Garni, T, Alasnag, M, Aljizeeri, A, Amer, H, Amro, A, Hamdy, H, Smettei, O, Saranovic, D, Vlajkovic, M, Keng, F, See, J, Berecova, Z, Mistinova, J, Evbuomwan, O, Govender, N, Hack, J, Hadebe, B, Hlongwa, K, Kaplan, M, Lakhi, H, Milos, K, Modiselle, M, More, S, Muambadzi, N, Scholtz, L, Barreiro-Perez, M, Blanco, I, Broncano, J, Camarero, A, Casans-Tormo, I, De Haro, J, Flotats, A, Garcia, E, Mendiguchia, C, Jimenez-Heffernan, A, Leta, R, Diaz, J, Vega, L, Manovel-Sanchez, A, Monzonis, A, Patrut, B, Pubul, V, Perez, R, Zeidan, N, Nanayakkara, D, Suliman, A, Engblom, H, Murtadha, M, Ostenfeld, E, Simonsson, M, Alkadhi, H, Buechel, R, Burger, P, Grani, C, Kamani, C, Kawel-Bohm, N, Klaeser, B, Manka, R, Prior, J, Kaewchur, T, Khiewvan, B, Kositwattanarerk, A, Namwongprom, S, Thientunyakit, T, Sayman, H, Yuksel, M, Sebikali, M, Okello, E, Korol, P, Noverko, I, Satyr, M, Ahmad, T, Alfakih, K, Andrade, I, Buckingham, S, Bularga, A, Carpenter, J, Cole, G, Cusack, D, David, S, Davis, P, Fairbairn, T, Ghosh, A, Ramkumar, P, Hamilton, M, Haque, F, Hudson, B, Johnstone, A, Karthikeyan, V, Kay, M, Khan, M, Kitt, J, Low, C, Mcalindon, E, Mccreavy, D, Morrissey, B, Motwani, M, Na, D, Nicol, E, Patel, D, Rodrigues, J, Rofe, C, Schofield, R, Semple, T, Sheikh, A, Sinha, A, Subedi, D, Topping, W, Tweed, K, Underwood, S, Weir-Mccall, J, Zuhairy, H, Abbasi, T, Abohashem, S, Abramson, S, Al-Mallah, M, Kumar, M, Balmer-Swain, M, Berman, D, Bernheim, A, Bhatti, S, Biederman, R, Bieging, E, Bingham, S, Bloom, S, Blue, S, Borges, A, Branch, K, Bravo, P, Buddhe, S, Budoff, M, Bullock-Palmer, R, Cahill, M, Candela, C, Cao, J, Chatterjee, S, Chatzizisis, Y, Chaudhuri, N, Cheezum, M, Chelliah, A, Chen, T, Chen, M, Chen, L, Chokshi, A, Chung, J, Danciu, S, Desisto, W, Dilorenzo, M, Doukky, R, Duvall, W, Ferencik, M, Foster, C, Fuisz, A, Gannon, M, German, D, Gerson, M, Geske, J, Hage, F, Haider, A, Haider, S, Hamirani, Y, Hassen, K, Hendel, R, Henkel, J, Horgan, S, Hyun, M, Janardhanan, R, Jerome, S, Kalra, D, Kassop, D, Kinkhabwala, M, Kinzfogl, G, Koch, B, Koweek, L, Krepp, J, Kwon, Y, Layer, J, Lesser, J, Leung, S, Lisske, B, Magurany, K, Markowitz, J, Mccullough, B, Moalemi, A, Moffitt, C, Montanez, J, Moore, W, Morayati, S, Mossa-Basha, M, Mrsic, Z, Murthy, V, Nagpal, P, Nelson, K, Nijjar, P, O'Quinn, R, Passen, E, Patil, P, Pursnani, A, Quachang, N, Rabbat, M, Ranjan, P, Lozano, P, Schemmer, M, Seifried, R, Shah, N, Shah, A, Shanbhag, S, Sharma, G, Skotnicki, R, Sobczak, M, Soman, P, Sorrell, V, Srichai, M, Streeter, J, Strickland, L, Suliman, S, Tebyanian, N, Thomas, D, Thompson, R, Uretsky, S, Vallurupalli, S, Vandyck-Acquah, M, Verma, V, Weinstein, J, Wolinsky, D, Zareba, K, Zgaljardic, M, Beretta, M, Ferrando, R, Kapitan, M, Mut, F, Djuraev, O, Rozikhodjaeva, G, Vera, L, Duc, B, Nguyen, X, Hiep Nguyen, P, Einstein A. J., Hirschfeld C., Williams M. C., Vitola J. V., Better N., Villines T. C., Cerci R., Shaw L. J., Choi A. D., Dorbala S., Karthikeyan G., Lu B., Sinitsyn V., Ansheles A. A., Kudo T., Bucciarelli-Ducci C., Norgaard B. L., Maurovich-Horvat P., Campisi R., Milan E., Louw L., Allam A. H., Bhatia M., Sewanan L., Malkovskiy E., Cohen Y., Randazzo M., Narula J., Morozova O., Pascual T. N. B., Pynda Y., Dondi M., Paez D., Hinterleitner G., Lu Y., Xu Z., Hirschfeld C. B., Erinne I., Shetty M., Choi A., Lopez-Mattei J., Parwani P., Goda A., Shirka E., Bouyoucef S., Chelghoum L., Mansouri F., Medjahedi A., Naili Q., Ridouh M., Alasia D., Alberghina L., Aramayo N., Buchara D., Busso F. G., Bustos Rivadero J. J., Camilletti J., Campanelli H., Castro R. B., Daicz M., del Riego H., Dragonetti L., Echazarreta D., Erriest J., Faccio F., Facello A., Gallegos H., Geronazzo R., Glait H., Hasbani V., Jager V., Lewkowicz J. M., Lotti J., Maciel N., Masoli O., Mastrovito E., Medus M., Merani M. F., Molteni S., Montecinos M., Parisi G., Sueldo C. P., Perez de Arenaza D., Quintana L., Radzinschi A., Redruello M., Rodriguez M., Rojas H., Acuna A. R., Schere D., Traverso S., Vazquez G., Zeffiro S., Sakanyan M., Beuzeville S., Boktor R., Crowley M., Downie D. A., Dwivedi G., Elison B., Farouque O., Jasper K., Joshi S., Lee J., Lee K., Lui E., Mcconachie P., Meaker J., Nandurkar D., Neill J., O'Rourke E., O'Sullivan P., Pandos G., Premaratne M., Prior D., Rutherford N., Saunders C., Taubman K., Tauro A., Taylor A., Theuerle J., Thomas P., Tow J., Upton A., Vamadevan S., Wayne V., Wegner E. A., Wong D., Younger J., Beitzke D., Feuchtner G., Sommer O., Weiss K., Maroz-Vadalazhskaya N., Tserakhau U., Homans F., Van De Heyning C. M., Araujo R., Soldat-Stankovic V., Stankovic S., Almeida A., Anselmi C., Azevedo G. S. A., Bittencourt M. S., Pianta D. B., Cabeda E., Carreira L., Coelho I., de Amorim Fernandes F., de Lorenzo A., Delgado R., Erthal F., Fernandes F., Fernandes J., Ferreira de Souza T., Foppa M., Matos Alves W. F., Gontijo C., Gottlieb I., Grossman G., Albernaz Siqueira M. H., Nomura C. H., Koga K. H., Lima R., Lopes R., Marcal Filho H. H., Masiero P., Mastrocola L., Menezes de Siqueira M. E., Mesquita C., Naves D., Penna F., Pinto I., Rocha T., Rocha J. L., Rodrigues A., Salioni L., Sanches A., Santos M., Da Silva L. S., Schvartzman P., Matushita C. S., Senra T., Silva M., Soares C. E., Spiro B., Suaide Silva C. E., Torres R., Monte G. U., Vilela A., Villa A. V., Vitola J., Voss T., Waltrick R., Zapparoli M., Naseer H., Garcheva-Tsacheva M., Ouattara T. F., Thou S., Varoeun S., Abikhzer G., Beanlands R., Chetrit M., Dabreo D., Dennie C., Friedrich M., Hafez M. N., Hanneman K., Miller R., Oikonomou A., Roifman I., Small G., Tandon V., Trivedi A., White J., Zukotynski K., Alay R., Concha C., Massardo T., Abad P., Anzola K., Arturo H., Benitez L., Cadena A., Zamudio C. C., Calderon A., Gutierrez Villamil C. T., Jaimes C., Londono J. L., Lopez N., Merlano-Gaitan S., Murgieitio-Cabrera R., Valencia M., Vergel D., Santamaria A. Z., Solis F., Batinic T., Franceschi M., Paar M. H., Prpic M., Felipe Batista C. J., Cabrera L. O., Peix A., Pena Y., Rochela Vazquez L. M., Ntalas I., Kaminek M., Kincl V., Lang O., Abdulla J., Bottcher M., Busk M., Geisler U., Gormsen L. C., Hansson N., Hess S., Hove J., Jensen L. T., Jensen M. T., Kragholm K. H., Ovrehus K., Rasmussen J., Ronnow Sand N. P., Sondergaard H., Zaremba T., Speckter H., Amores N., Velez M. S., Alrahman T. A., Elsamad S. A., Abdelfattah A., Allam A., Elkaffas S., Hassan M., Hussein E., Ibrahim A., Kandeel A., Ali M. M., Shaaban M., Flores C., Gomez Leiva V. V., Liiver A., Larikka M., Uusitalo V., Agostini D., Berger C., Dietz M., Hyafil F., Ohana M., Prigent K., Regaieg H., Sarda-Mantel L., H-Ici D. O., Ayetey H., Angelidis G., Fragkaki C., Fragkiadaki C., Georgoulias P., Koutelou M., Kyrozi E., Lama N., Prassopoulos V., Spartalis M., Zaglavara T., Gonzalez C., Gutierrez G., Maldonado A., Martinez Y., Kovacs A., Szilveszter B., Banthia N., Bhat V., Choudhury P., Chowdekar V. S., Christopher J., Garg T., Goyal N. K., Gupta R. K., Gupta A., Hephzibah J., Jain S., Krupa J., Kumar P., Kumar S., Lalchandani A., Mishra A., Mishra V. D., Mohan P., Ozair A., Pandey S., Parameswaran R., Patel C., Patel T., Patel S., Vimala L. R., Kumar Sarangi D. P., Sengupta S., Sethi A., Sharma A., Sharma A. K., Sharma P., Shrigiriwar A., Singh S., Singh H., Sood A., Verma A., Vyas A., Soeriadi E. A., Bun E., Hutomo F., Syawaluddin H., Yudistiro R., Albadr A., Assadi M., Emami F., Emami-Ardekani A., Farzanehfar S., Jafari R., Manafi-Farid R., Tajik M., Arnson Y., Fuchs S., Goldkorn R., Kennedy J., Leitman M., Shalev A., Acampa W., Albano D., Alongi P., Arnone G., Assante R., Baritussio A., Bauckneht M., Bianco F., Bonfiglioli R., Bovenzi F., Bruno I., Bruno A., Busnardo E., Califaretti E., Casoni R., Censullo V., Chierichetti F., Chiocchi M., Cittanti C., Clemente A., Cuocolo A., De Rimini M. L., De Vincentis G., Della Tommasina V., Dellegrottaglie S., Erba P. A., Evangelista L., Faggi L., Faragasso E., Florimonte L., Frantellizzi V., Gatti M., Gaudiano A., Gelardi F., Gerali A., Gimelli A., Guglielmo M., Leccisotti L., Liga R., Liguori C., Longo G., Maffione M., Marcassa C., Matassa G., Mele D., Mircoli L., Paccagnella A., Pacella S., Padovano F., Pellegrini D., Pergola V., Pugliese L., Quartuccio N., Rampin L., Ricci F., Rubini G., Russo V., Sambuceti G., Scatteia A., Sciagra R., Spidalieri G., Stefanelli A., Tedeschi C., Ventroni G., Baugh D., Madu E., Aikawa T., Asano H., Fujimoto S., Fujise K., Fukushima Y., Fukuyama K., Ichikawa Y., Ideguchi R., Iguchi N., Imai M., Ishimura H., Isobe S., Ito K., Izawa Y., Kadokami T., Kasai T., Kato T., Kawamoto T., Kiryu S., Kumita S., Manabe O., Maruno H., Matsumoto N., Miyagawa M., Moroi M., Nagamachi S., Nakajima K., Nakazato R., Nanasato M., Naya M., Norikane T., Ohta Y., Otomi Y., Otsuka H., Oyama-Manabe N., Saito M., Sarai M., Sato J., Sato D., Shiraishi S., Takanami K., Takehana K., Taniguchi Y., Teragawa H., Tomizawa N., Umeji K., Wakabayashi Y., Yamada S., Yamazaki S., Yoneyama T., Rawashdeh M., Dautov T., Makhdomi K., Abass M., Garashi M., Siraj Q., Kalnina M., Haidar M., Komiagiene R., Kviecinskiene G., Vajauskas D., Karim N. K. A., Doucoure M., Reichmuth L., Samuel A., Dieng M. L., Naojee A. S., Hernandez E. A., Alducin Tellez C. R., Alexanderson-Rosas E., Barragan E., Cabada M., Calderon D., Carvajal-Juarez I., Esparza J., Gama-Moreno M. G., Quinto V. G., Gonzalez N. C., Herrera-Zarza M. C., Meave A., Medina Verdugo J. G., Melendez G., Morales Murguia R. H., Navarro Quiroz C. S., Ornelas M., Preciado-Anaya A., Preciado-Gutierrez O. U., Puente A., Salazar A. R., Rosales Uvera S. G., Rosales-Uvera S., Serna Macias J. A., Sierra-Galan L., Sierra-Galan L. M., Tirado Alderete J. C., Vallejo E., Faraggi M., Sereegotov E., Ben Rais N., Alaoui N. I., Kyiphyu T., Oo S. T., Win S. M., Zar H., Ghimire R., Neupane M., Glaudemans A., Slart R., Verschure D., Allen B., Edmond J., Mckenzie C., Tie S., Van Pelt N., Worthington K., Young C., Soli I. A., Kana S., Onubogu U., Sani M., Braten A. T., Jorgensen A., Vassbotn H. -E., Al Dhuhli H., Jawa Z., Tag N., Fatima S., Imran M. B., Younis M. N., Saadullah M., Malo Y. H., Lenturut-Katal D., Castillo M., Ortellado J., Akhter A., Cader F. A., Hussain R., Khan S. R., Mandal T., Nasreen F., An Y., Cao D., Gong L., Hou Y., Jia C., Li T., Li C., Liu H., Liu W., Liu J., Ng M. -Y., Shi H., Tang C., Wang X., Wang Z., Wang Y., Wu J., Yi Y., Yuan L., Zhang T., Zhang L., Chavez E., Cruz C., Llontop C., Morales R., Abrihan P., Bustos-Barroso A., Duldulao-Ogbac M., Eduarte C., Obaldo J., Quinon A., San Juan B., San Juan C. J., Sauler-Gomez M. R., Uy M., Kostkiewicz M., Kunikowska J., Teresinska A., Urbanik T., Bettencourt N., Fontes-Carvalho R., Gavina C., Goncalves L., Macedo F., Moreno N., Sousa C., Timoteo A. T., Vidigal M. J., Al Heidous M., Ramanathan S., Arnous S., Aytani S., Byrne A., Gleeson T., Kerins D., O'Brien J., Bang J. -I., Bom H., Cheon M., Cheon G. J., Cho S. -G., Hong C. M., Jeong Y. H., Kang W. J., Kang Y. -K., Kim J. -Y., Oh S. W., So Y., Song H. -C., Won K. S., Yoo S. W., Mitevska I., Vavlukis M., Salobir B. G., Stalc M., Benedek T., Pop M., Stan C., Ansheles A., Dariy O., Gagarina N., Itskovich I., Karalkin A., Kokov A., Marina G., Migunova E., Pospelov V., Ryzhkova D., Sayfullina G., Sergienko V., Shurupova I., Vakhromeeva M., Valiullina N., Zavadovsky K., Zhuravlev K., Abazid R., Al Garni T., Alasnag M., Aljizeeri A., Amer H., Amro A., Hamdy H., Smettei O., Saranovic D. S., Vlajkovic M., Keng F., See J., Berecova Z., Mistinova J. P., Evbuomwan O., Govender N., Hack J., Hadebe B., Hlongwa K., Kaplan M., Lakhi H., Milos K., Modiselle M., More S., Muambadzi N., Scholtz L., Barreiro-Perez M., Blanco I., Broncano J., Camarero A., Casans-Tormo I., De Haro J., Flotats A., Garcia E., Mendiguchia C. G., Jimenez-Heffernan A., Leta R., Diaz J. L., Vega L. L., Manovel-Sanchez A., Monzonis A. M., Patrut B., Pubul V., Perez R. R., Zeidan N., Nanayakkara D., Suliman A., Engblom H., Murtadha M., Ostenfeld E., Simonsson M., Alkadhi H., Buechel R. R., Burger P., Grani C., Kamani C., Kawel-Bohm N., Klaeser B., Manka R., Prior J., Kaewchur T., Khiewvan B., Kositwattanarerk A., Namwongprom S., Thientunyakit T., Sayman H. B., Yuksel M., Sebikali M. J., Okello E., Korol P., Noverko I., Satyr M., Ahmad T., Alfakih K., Andrade I., Buckingham S., Bularga A., Carpenter J. -P., Cole G., Cusack D., David S., Davis P., Fairbairn T., Ghosh A., Ramkumar P. G., Hamilton M., Haque F., Hudson B., Johnstone A., Karthikeyan V. J., Kay M., Khan M. A., Kitt J., Low C. S., Mcalindon E., Mccreavy D., Morrissey B., Motwani M., Na D., Nicol E., Patel D., Rodrigues J., Rofe C., Schofield R., Semple T., Sheikh A., Sinha A., Subedi D., Topping W., Tweed K., Underwood S. R., Weir-Mccall J., Zuhairy H., Abbasi T., Abohashem S., Abramson S., Al-Mallah M., Kumar M. A., Balmer-Swain M., Berman D., Bernheim A., Bhatti S., Biederman R., Bieging E., Bingham S., Bloom S., Blue S., Borges A., Branch K., Bravo P., Buddhe S., Budoff M., Bullock-Palmer R., Cahill M., Candela C., Cao J., Chatterjee S., Chatzizisis Y., Chaudhuri N. R., Cheezum M., Chelliah A., Chen T., Chen M., Chen L., Chokshi A., Chung J., Danciu S., DeSisto W., Dilorenzo M., Doukky R., Duvall W., Ferencik M., Foster C., Fuisz A., Gannon M., German D., Gerson M., Geske J., Hage F., Haider A., Haider S., Hamirani Y., Hassen K., Hendel R., Henkel J., Horgan S., Hyun M., Janardhanan R., Jerome S., Kalra D., Kassop D., Kinkhabwala M., Kinzfogl G., Koch B., Koweek L., Krepp J., Kwon Y., Layer J., Lesser J., Leung S., Lisske B., Magurany K., Markowitz J., Mccullough B., Moalemi A., Moffitt C., Montanez J., Moore W., Morayati S., Mossa-Basha M., Mrsic Z., Murthy V., Nagpal P., Nelson K., Nijjar P., O'Quinn R., Passen E., Patil P., Pursnani A., Quachang N., Rabbat M., Ranjan P., Lozano P. R., Schemmer M., Seifried R., Shah N., Shah A., Shanbhag S., Sharma G., Skotnicki R., Sobczak M., Soman P., Sorrell V., Srichai M., Streeter J., Strickland L., Suliman S., Tebyanian N., Thomas D., Thompson R., Uretsky S., Vallurupalli S., Vandyck-Acquah M., Verma V., Villines T., Weinstein J., Wolinsky D., Zareba K., Zgaljardic M., Beretta M., Ferrando R., Kapitan M., Mut F., Djuraev O., Rozikhodjaeva G., Vera L., Duc B. D., Nguyen X. C., Hiep Nguyen P. 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J., Hirschfeld C., Williams M. C., Vitola J. V., Better N., Villines T. C., Cerci R., Shaw L. J., Choi A. D., Dorbala S., Karthikeyan G., Lu B., Sinitsyn V., Ansheles A. A., Kudo T., Bucciarelli-Ducci C., Norgaard B. L., Maurovich-Horvat P., Campisi R., Milan E., Louw L., Allam A. H., Bhatia M., Sewanan L., Malkovskiy E., Cohen Y., Randazzo M., Narula J., Morozova O., Pascual T. N. B., Pynda Y., Dondi M., Paez D., Hinterleitner G., Lu Y., Xu Z., Hirschfeld C. B., Erinne I., Shetty M., Choi A., Lopez-Mattei J., Parwani P., Goda A., Shirka E., Bouyoucef S., Chelghoum L., Mansouri F., Medjahedi A., Naili Q., Ridouh M., Alasia D., Alberghina L., Aramayo N., Buchara D., Busso F. G., Bustos Rivadero J. J., Camilletti J., Campanelli H., Castro R. B., Daicz M., del Riego H., Dragonetti L., Echazarreta D., Erriest J., Faccio F., Facello A., Gallegos H., Geronazzo R., Glait H., Hasbani V., Jager V., Lewkowicz J. M., Lotti J., Maciel N., Masoli O., Mastrovito E., Medus M., Merani M. F., Molteni S., Montecinos M., Parisi G., Sueldo C. P., Perez de Arenaza D., Quintana L., Radzinschi A., Redruello M., Rodriguez M., Rojas H., Acuna A. R., Schere D., Traverso S., Vazquez G., Zeffiro S., Sakanyan M., Beuzeville S., Boktor R., Crowley M., Downie D. A., Dwivedi G., Elison B., Farouque O., Jasper K., Joshi S., Lee J., Lee K., Lui E., Mcconachie P., Meaker J., Nandurkar D., Neill J., O'Rourke E., O'Sullivan P., Pandos G., Premaratne M., Prior D., Rutherford N., Saunders C., Taubman K., Tauro A., Taylor A., Theuerle J., Thomas P., Tow J., Upton A., Vamadevan S., Wayne V., Wegner E. A., Wong D., Younger J., Beitzke D., Feuchtner G., Sommer O., Weiss K., Maroz-Vadalazhskaya N., Tserakhau U., Homans F., Van De Heyning C. M., Araujo R., Soldat-Stankovic V., Stankovic S., Almeida A., Anselmi C., Azevedo G. S. A., Bittencourt M. S., Pianta D. B., Cabeda E., Carreira L., Coelho I., de Amorim Fernandes F., de Lorenzo A., Delgado R., Erthal F., Fernandes F., Fernandes J., Ferreira de Souza T., Foppa M., Matos Alves W. F., Gontijo C., Gottlieb I., Grossman G., Albernaz Siqueira M. H., Nomura C. H., Koga K. H., Lima R., Lopes R., Marcal Filho H. H., Masiero P., Mastrocola L., Menezes de Siqueira M. E., Mesquita C., Naves D., Penna F., Pinto I., Rocha T., Rocha J. L., Rodrigues A., Salioni L., Sanches A., Santos M., Da Silva L. S., Schvartzman P., Matushita C. S., Senra T., Silva M., Soares C. E., Spiro B., Suaide Silva C. E., Torres R., Monte G. U., Vilela A., Villa A. V., Vitola J., Voss T., Waltrick R., Zapparoli M., Naseer H., Garcheva-Tsacheva M., Ouattara T. F., Thou S., Varoeun S., Abikhzer G., Beanlands R., Chetrit M., Dabreo D., Dennie C., Friedrich M., Hafez M. N., Hanneman K., Miller R., Oikonomou A., Roifman I., Small G., Tandon V., Trivedi A., White J., Zukotynski K., Alay R., Concha C., Massardo T., Abad P., Anzola K., Arturo H., Benitez L., Cadena A., Zamudio C. C., Calderon A., Gutierrez Villamil C. T., Jaimes C., Londono J. L., Lopez N., Merlano-Gaitan S., Murgieitio-Cabrera R., Valencia M., Vergel D., Santamaria A. Z., Solis F., Batinic T., Franceschi M., Paar M. H., Prpic M., Felipe Batista C. J., Cabrera L. O., Peix A., Pena Y., Rochela Vazquez L. M., Ntalas I., Kaminek M., Kincl V., Lang O., Abdulla J., Bottcher M., Busk M., Geisler U., Gormsen L. C., Hansson N., Hess S., Hove J., Jensen L. T., Jensen M. T., Kragholm K. H., Ovrehus K., Rasmussen J., Ronnow Sand N. P., Sondergaard H., Zaremba T., Speckter H., Amores N., Velez M. S., Alrahman T. A., Elsamad S. A., Abdelfattah A., Allam A., Elkaffas S., Hassan M., Hussein E., Ibrahim A., Kandeel A., Ali M. M., Shaaban M., Flores C., Gomez Leiva V. V., Liiver A., Larikka M., Uusitalo V., Agostini D., Berger C., Dietz M., Hyafil F., Ohana M., Prigent K., Regaieg H., Sarda-Mantel L., H-Ici D. O., Ayetey H., Angelidis G., Fragkaki C., Fragkiadaki C., Georgoulias P., Koutelou M., Kyrozi E., Lama N., Prassopoulos V., Spartalis M., Zaglavara T., Gonzalez C., Gutierrez G., Maldonado A., Martinez Y., Kovacs A., Szilveszter B., Banthia N., Bhat V., Choudhury P., Chowdekar V. S., Christopher J., Garg T., Goyal N. K., Gupta R. K., Gupta A., Hephzibah J., Jain S., Krupa J., Kumar P., Kumar S., Lalchandani A., Mishra A., Mishra V. D., Mohan P., Ozair A., Pandey S., Parameswaran R., Patel C., Patel T., Patel S., Vimala L. R., Kumar Sarangi D. P., Sengupta S., Sethi A., Sharma A., Sharma A. K., Sharma P., Shrigiriwar A., Singh S., Singh H., Sood A., Verma A., Vyas A., Soeriadi E. A., Bun E., Hutomo F., Syawaluddin H., Yudistiro R., Albadr A., Assadi M., Emami F., Emami-Ardekani A., Farzanehfar S., Jafari R., Manafi-Farid R., Tajik M., Arnson Y., Fuchs S., Goldkorn R., Kennedy J., Leitman M., Shalev A., Acampa W., Albano D., Alongi P., Arnone G., Assante R., Baritussio A., Bauckneht M., Bianco F., Bonfiglioli R., Bovenzi F., Bruno I., Bruno A., Busnardo E., Califaretti E., Casoni R., Censullo V., Chierichetti F., Chiocchi M., Cittanti C., Clemente A., Cuocolo A., De Rimini M. L., De Vincentis G., Della Tommasina V., Dellegrottaglie S., Erba P. A., Evangelista L., Faggi L., Faragasso E., Florimonte L., Frantellizzi V., Gatti M., Gaudiano A., Gelardi F., Gerali A., Gimelli A., Guglielmo M., Leccisotti L., Liga R., Liguori C., Longo G., Maffione M., Marcassa C., Matassa G., Mele D., Mircoli L., Paccagnella A., Pacella S., Padovano F., Pellegrini D., Pergola V., Pugliese L., Quartuccio N., Rampin L., Ricci F., Rubini G., Russo V., Sambuceti G., Scatteia A., Sciagra R., Spidalieri G., Stefanelli A., Tedeschi C., Ventroni G., Baugh D., Madu E., Aikawa T., Asano H., Fujimoto S., Fujise K., Fukushima Y., Fukuyama K., Ichikawa Y., Ideguchi R., Iguchi N., Imai M., Ishimura H., Isobe S., Ito K., Izawa Y., Kadokami T., Kasai T., Kato T., Kawamoto T., Kiryu S., Kumita S., Manabe O., Maruno H., Matsumoto N., Miyagawa M., Moroi M., Nagamachi S., Nakajima K., Nakazato R., Nanasato M., Naya M., Norikane T., Ohta Y., Otomi Y., Otsuka H., Oyama-Manabe N., Saito M., Sarai M., Sato J., Sato D., Shiraishi S., Takanami K., Takehana K., Taniguchi Y., Teragawa H., Tomizawa N., Umeji K., Wakabayashi Y., Yamada S., Yamazaki S., Yoneyama T., Rawashdeh M., Dautov T., Makhdomi K., Abass M., Garashi M., Siraj Q., Kalnina M., Haidar M., Komiagiene R., Kviecinskiene G., Vajauskas D., Karim N. K. A., Doucoure M., Reichmuth L., Samuel A., Dieng M. L., Naojee A. S., Hernandez E. A., Alducin Tellez C. R., Alexanderson-Rosas E., Barragan E., Cabada M., Calderon D., Carvajal-Juarez I., Esparza J., Gama-Moreno M. G., Quinto V. G., Gonzalez N. C., Herrera-Zarza M. C., Meave A., Medina Verdugo J. G., Melendez G., Morales Murguia R. H., Navarro Quiroz C. S., Ornelas M., Preciado-Anaya A., Preciado-Gutierrez O. U., Puente A., Salazar A. R., Rosales Uvera S. G., Rosales-Uvera S., Serna Macias J. A., Sierra-Galan L., Sierra-Galan L. M., Tirado Alderete J. C., Vallejo E., Faraggi M., Sereegotov E., Ben Rais N., Alaoui N. I., Kyiphyu T., Oo S. T., Win S. M., Zar H., Ghimire R., Neupane M., Glaudemans A., Slart R., Verschure D., Allen B., Edmond J., Mckenzie C., Tie S., Van Pelt N., Worthington K., Young C., Soli I. A., Kana S., Onubogu U., Sani M., Braten A. T., Jorgensen A., Vassbotn H. -E., Al Dhuhli H., Jawa Z., Tag N., Fatima S., Imran M. B., Younis M. N., Saadullah M., Malo Y. H., Lenturut-Katal D., Castillo M., Ortellado J., Akhter A., Cader F. A., Hussain R., Khan S. R., Mandal T., Nasreen F., An Y., Cao D., Gong L., Hou Y., Jia C., Li T., Li C., Liu H., Liu W., Liu J., Ng M. -Y., Shi H., Tang C., Wang X., Wang Z., Wang Y., Wu J., Yi Y., Yuan L., Zhang T., Zhang L., Chavez E., Cruz C., Llontop C., Morales R., Abrihan P., Bustos-Barroso A., Duldulao-Ogbac M., Eduarte C., Obaldo J., Quinon A., San Juan B., San Juan C. J., Sauler-Gomez M. R., Uy M., Kostkiewicz M., Kunikowska J., Teresinska A., Urbanik T., Bettencourt N., Fontes-Carvalho R., Gavina C., Goncalves L., Macedo F., Moreno N., Sousa C., Timoteo A. T., Vidigal M. J., Al Heidous M., Ramanathan S., Arnous S., Aytani S., Byrne A., Gleeson T., Kerins D., O'Brien J., Bang J. -I., Bom H., Cheon M., Cheon G. J., Cho S. -G., Hong C. M., Jeong Y. H., Kang W. J., Kang Y. -K., Kim J. -Y., Oh S. W., So Y., Song H. -C., Won K. S., Yoo S. W., Mitevska I., Vavlukis M., Salobir B. G., Stalc M., Benedek T., Pop M., Stan C., Ansheles A., Dariy O., Gagarina N., Itskovich I., Karalkin A., Kokov A., Marina G., Migunova E., Pospelov V., Ryzhkova D., Sayfullina G., Sergienko V., Shurupova I., Vakhromeeva M., Valiullina N., Zavadovsky K., Zhuravlev K., Abazid R., Al Garni T., Alasnag M., Aljizeeri A., Amer H., Amro A., Hamdy H., Smettei O., Saranovic D. S., Vlajkovic M., Keng F., See J., Berecova Z., Mistinova J. P., Evbuomwan O., Govender N., Hack J., Hadebe B., Hlongwa K., Kaplan M., Lakhi H., Milos K., Modiselle M., More S., Muambadzi N., Scholtz L., Barreiro-Perez M., Blanco I., Broncano J., Camarero A., Casans-Tormo I., De Haro J., Flotats A., Garcia E., Mendiguchia C. G., Jimenez-Heffernan A., Leta R., Diaz J. L., Vega L. L., Manovel-Sanchez A., Monzonis A. M., Patrut B., Pubul V., Perez R. R., Zeidan N., Nanayakkara D., Suliman A., Engblom H., Murtadha M., Ostenfeld E., Simonsson M., Alkadhi H., Buechel R. R., Burger P., Grani C., Kamani C., Kawel-Bohm N., Klaeser B., Manka R., Prior J., Kaewchur T., Khiewvan B., Kositwattanarerk A., Namwongprom S., Thientunyakit T., Sayman H. B., Yuksel M., Sebikali M. J., Okello E., Korol P., Noverko I., Satyr M., Ahmad T., Alfakih K., Andrade I., Buckingham S., Bularga A., Carpenter J. -P., Cole G., Cusack D., David S., Davis P., Fairbairn T., Ghosh A., Ramkumar P. G., Hamilton M., Haque F., Hudson B., Johnstone A., Karthikeyan V. J., Kay M., Khan M. A., Kitt J., Low C. S., Mcalindon E., Mccreavy D., Morrissey B., Motwani M., Na D., Nicol E., Patel D., Rodrigues J., Rofe C., Schofield R., Semple T., Sheikh A., Sinha A., Subedi D., Topping W., Tweed K., Underwood S. R., Weir-Mccall J., Zuhairy H., Abbasi T., Abohashem S., Abramson S., Al-Mallah M., Kumar M. A., Balmer-Swain M., Berman D., Bernheim A., Bhatti S., Biederman R., Bieging E., Bingham S., Bloom S., Blue S., Borges A., Branch K., Bravo P., Buddhe S., Budoff M., Bullock-Palmer R., Cahill M., Candela C., Cao J., Chatterjee S., Chatzizisis Y., Chaudhuri N. R., Cheezum M., Chelliah A., Chen T., Chen M., Chen L., Chokshi A., Chung J., Danciu S., DeSisto W., Dilorenzo M., Doukky R., Duvall W., Ferencik M., Foster C., Fuisz A., Gannon M., German D., Gerson M., Geske J., Hage F., Haider A., Haider S., Hamirani Y., Hassen K., Hendel R., Henkel J., Horgan S., Hyun M., Janardhanan R., Jerome S., Kalra D., Kassop D., Kinkhabwala M., Kinzfogl G., Koch B., Koweek L., Krepp J., Kwon Y., Layer J., Lesser J., Leung S., Lisske B., Magurany K., Markowitz J., Mccullough B., Moalemi A., Moffitt C., Montanez J., Moore W., Morayati S., Mossa-Basha M., Mrsic Z., Murthy V., Nagpal P., Nelson K., Nijjar P., O'Quinn R., Passen E., Patil P., Pursnani A., Quachang N., Rabbat M., Ranjan P., Lozano P. R., Schemmer M., Seifried R., Shah N., Shah A., Shanbhag S., Sharma G., Skotnicki R., Sobczak M., Soman P., Sorrell V., Srichai M., Streeter J., Strickland L., Suliman S., Tebyanian N., Thomas D., Thompson R., Uretsky S., Vallurupalli S., Vandyck-Acquah M., Verma V., Villines T., Weinstein J., Wolinsky D., Zareba K., Zgaljardic M., Beretta M., Ferrando R., Kapitan M., Mut F., Djuraev O., Rozikhodjaeva G., Vera L., Duc B. D., Nguyen X. C., and Hiep Nguyen P. M.

Abstract

Background: The extent to which health care systems have adapted to the COVID-19 pandemic to provide necessary cardiac diagnostic services is unknown. Objectives: The aim of this study was to determine the impact of the pandemic on cardiac testing practices, volumes and types of diagnostic services, and perceived psychological stress to health care providers worldwide. Methods: The International Atomic Energy Agency conducted a worldwide survey assessing alterations from baseline in cardiovascular diagnostic care at the pandemic's onset and 1 year later. Multivariable regression was used to determine factors associated with procedure volume recovery. Results: Surveys were submitted from 669 centers in 107 countries. Worldwide reduction in cardiac procedure volumes of 64% from March 2019 to April 2020 recovered by April 2021 in high- and upper middle-income countries (recovery rates of 108% and 99%) but remained depressed in lower middle- and low-income countries (46% and 30% recovery). Although stress testing was used 12% less frequently in 2021 than in 2019, coronary computed tomographic angiography was used 14% more, a trend also seen for other advanced cardiac imaging modalities (positron emission tomography and magnetic resonance; 22%-25% increases). Pandemic-related psychological stress was estimated to have affected nearly 40% of staff, impacting patient care at 78% of sites. In multivariable regression, only lower-income status and physicians’ psychological stress were significant in predicting recovery of cardiac testing. Conclusions: Cardiac diagnostic testing has yet to recover to prepandemic levels in lower-income countries. Worldwide, the decrease in standard stress testing is offset by greater use of advanced cardiac imaging modalities. Pandemic-related psychological stress among providers is widespread and associated with poor recovery of cardiac testing.

Published
2022

12. Novel Approach to Risk Stratification in Left Ventricular Non-Compaction Using A Combined Cardiac Imaging and Plasma Biomarker Approach

Author

Ramchand, J, Podugu, P, Obuchowski, N, Harb, SC, Chetrit, M, Milinovich, A, Griffin, B, Burrell, LM, Tang, WHW, Kwon, DH, Flamm, SD, Ramchand, J, Podugu, P, Obuchowski, N, Harb, SC, Chetrit, M, Milinovich, A, Griffin, B, Burrell, LM, Tang, WHW, Kwon, DH, and Flamm, SD

Abstract

Background Left ventricular non-compaction remains a poorly described entity, which has led to challenges of overdiagnosis. We aimed to evaluate if the presence of a thin compacted myocardial layer portends poorer outcomes in individuals meeting cardiac magnetic resonance criteria for left ventricular non-compaction . Methods and Results This was an observational, retrospective cohort study involving individuals selected from the Cleveland Clinic Foundation cardiac magnetic resonance database (N=26 531). Between 2000 and 2018, 328 individuals ≥12 years, with left ventricular non-compaction or excessive trabeculations based on the cardiac magnetic resonance Petersen criteria were included. The cohort comprised 42% women, mean age 43 years. We assessed the predictive ability of myocardial thinning for the primary composite end point of major adverse cardiac events (composite of all-cause mortality, heart failure hospitalization, left ventricular assist device implantation/heart transplant, ventricular tachycardia, or ischemic stroke). At mean follow-up of 3.1 years, major adverse cardiac events occurred in 102 (31%) patients. After adjusting for comorbidities, the risk of major adverse cardiac events was nearly doubled in the presence of significant compacted myocardial thinning (hazard ratio [HR], 1.88 [95% CI, 1.18‒3.00]; P=0.016), tripled in the presence of elevated plasma B-type natriuretic peptide (HR, 3.29 [95% CI, 1.52‒7.11]; P=0.006), and increased by 5% for every 10-unit increase in left ventricular end-systolic volume (HR, 1.01 [95% CI, 1.00‒1.01]; P=0.041). Conclusions The risk of adverse clinical events is increased in the presence of significant compacted myocardial thinning, an elevated B-type natriuretic peptide or increased left ventricular dimensions. The combination of these markers may enhance risk assessment to minimize left ventricular non-compaction overdiagnosis whilst facilitating appropriate diagnoses in those with true disease.

Published
2021

13. X-ray structures of Torpedo californica acetylcholinesterase complexed with (+)-huperzine A and (-)-huperzine B: structural evidence for an active site rearrangement

Author

Dvir, H., Jiang, H.L., Wong, D.M., Harel, M., Chetrit, M., He, X.C., Jin, G.Y., Yu, G.L., Tang, X.C., Silman, I., Bai, D.L., and Sussman, J.L.

Subjects
Acetylcholinesterase -- Research, Enzymes -- Structure-activity relationship, Binding sites (Biochemistry) -- Analysis, Rearrangements (Chemistry) -- Analysis, Biological sciences, Chemistry
Abstract

Results show that the interaction of acetylcholinesterase with different molecules of the anti-Alzheimer drug (-)-huperzine A and its homologues occurs at the 'anionic' subsite of the active site of the enzyme. Data indicate that rearrangement of the amino acid residues of the 'oxyanion' hole occurs due to a peptide flip.

Published
2002

14. Evaluation of left ventricular filling pressure by echocardiography: incremental diagnostic information from left atrial strain

Author

Khan, F, primary, Inoue, K, additional, Remme, EW, additional, Ohte, N, additional, Garcia-Izquierdo, E, additional, Chetrit, M, additional, Andersen, OS, additional, Gude, E, additional, Andreassen, AK, additional, Kikuchi, S, additional, Stugaard, M, additional, Ha, JW, additional, Klein, A, additional, Nagueh, SF, additional, and Smiseth, OA, additional

Published
2021
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15. Assessment of left ventricular filling pressure: left atrial reservoir strain is an excellent replacement for missing tricuspid regurgitation velocity

Author

Khan, F, primary, Inoue, K, additional, Remme, E.W, additional, Andersen, O.S, additional, Gude, E, additional, Skulstad, H, additional, Chetrit, M, additional, Garcia-Izquierdo Jaen, E, additional, Ha, J.W, additional, Klein, A.L, additional, Kikuchi, S, additional, Ohte, N, additional, Nagueh, S.F, additional, and Smiseth, O.A, additional

Published
2020
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18. Prospective Evaluation of the Utility of Whole Exome Sequencing in Dilated Cardiomyopathy.

Author

Vohra J., Trainer A., Zentner D., Chetrit M., James P., Hare D.L., Ramchand J., Wallis M., Macciocca I., Lynch E., Farouque O., Martyn M., Phelan D., Chong B., Lockwood S., Weintraub R., Thompson T., Vohra J., Trainer A., Zentner D., Chetrit M., James P., Hare D.L., Ramchand J., Wallis M., Macciocca I., Lynch E., Farouque O., Martyn M., Phelan D., Chong B., Lockwood S., Weintraub R., and Thompson T.

Abstract

Background: Dilated cardiomyopathy may be heritable but shows extensive genetic heterogeneity. The utility of whole exome sequencing as a first-line genetic test for patients with dilated cardiomyopathy in a contemporary "real-world" setting has not been specifically established. Using whole exome sequencing with rigorous, evidence-based variant interpretation, we aimed to identify the prevalence of a molecular diagnosis in patients with dilated cardiomyopathy in a clinical setting. Methods and Results: Whole exome sequencing was performed in eligible patients (n=83) with idiopathic or familial dilated cardiomyopathy. Variants were prioritized for curation in up to 247 genes and classified using American College of Medical Genetics and Genomics-based criteria. Ten (12%) had a pathogenic or likely pathogenic variant. Eight (10%) participants had truncating TTN variants classified as variants of uncertain significance. Five (6%) participants had variants of unknown significance according to strict American College of Medical Genetics and Genomics criteria but classified as either pathogenic or likely pathogenic by other clinical laboratories. Pathogenic or likely pathogenic variants were found in 8 genes (all within tier 1 genes), 2 (20%) of which are not included in a standard commercially available dilated cardiomyopathy panel. Using our bioinformatics pipeline, there was an average of 0.74 variants of uncertain significance per case with =0.75 person-hours needed to interpret each of these variants. Conclusion(s): Whole exome sequencing is an effective diagnostic tool for patients with dilated cardiomyopathy. With stringent classification using American College of Medical Genetics and Genomics criteria, the rate of detection of pathogenic variants is lower than previous reports. Efforts to improve adherence to these guidelines will be important to prevent erroneous misclassification of nonpathogenic variants in dilated cardiomyopathy genetic testing and inappropria

Published
2020

19. Prospective Evaluation of the Utility of Whole Exome Sequencing in Dilated Cardiomyopathy

Author

Ramchand, J, Wallis, M, Macciocca, I, Lynch, E, Farouque, O, Martyn, M, Phelan, D, Chong, B, Lockwood, S, Weintraub, R, Thompson, T, Trainer, A, Zentner, D, Vohra, J, Chetrit, M, Hare, DL, James, P, Ramchand, J, Wallis, M, Macciocca, I, Lynch, E, Farouque, O, Martyn, M, Phelan, D, Chong, B, Lockwood, S, Weintraub, R, Thompson, T, Trainer, A, Zentner, D, Vohra, J, Chetrit, M, Hare, DL, and James, P

Abstract

Background Dilated cardiomyopathy may be heritable but shows extensive genetic heterogeneity. The utility of whole exome sequencing as a first-line genetic test for patients with dilated cardiomyopathy in a contemporary "real-world" setting has not been specifically established. Using whole exome sequencing with rigorous, evidence-based variant interpretation, we aimed to identify the prevalence of a molecular diagnosis in patients with dilated cardiomyopathy in a clinical setting. Methods and Results Whole exome sequencing was performed in eligible patients (n=83) with idiopathic or familial dilated cardiomyopathy. Variants were prioritized for curation in up to 247 genes and classified using American College of Medical Genetics and Genomics-based criteria. Ten (12%) had a pathogenic or likely pathogenic variant. Eight (10%) participants had truncating TTN variants classified as variants of uncertain significance. Five (6%) participants had variants of unknown significance according to strict American College of Medical Genetics and Genomics criteria but classified as either pathogenic or likely pathogenic by other clinical laboratories. Pathogenic or likely pathogenic variants were found in 8 genes (all within tier 1 genes), 2 (20%) of which are not included in a standard commercially available dilated cardiomyopathy panel. Using our bioinformatics pipeline, there was an average of 0.74 variants of uncertain significance per case with ≈0.75 person-hours needed to interpret each of these variants. Conclusions Whole exome sequencing is an effective diagnostic tool for patients with dilated cardiomyopathy. With stringent classification using American College of Medical Genetics and Genomics criteria, the rate of detection of pathogenic variants is lower than previous reports. Efforts to improve adherence to these guidelines will be important to prevent erroneous misclassification of nonpathogenic variants in dilated cardiomyopathy genetic testing and inappropriate ca

Published
2020

22. Transcatheter heart valve failure: a systematic review

Author

Mylotte, D., primary, Andalib, A., additional, Theriault-Lauzier, P., additional, Dorfmeister, M., additional, Girgis, M., additional, Alharbi, W., additional, Chetrit, M., additional, Galatas, C., additional, Mamane, S., additional, Sebag, I., additional, Buithieu, J., additional, Bilodeau, L., additional, de Varennes, B., additional, Lachapelle, K., additional, Lange, R., additional, Martucci, G., additional, Virmani, R., additional, and Piazza, N., additional

Published
2014
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24. X-ray Structures of Torpedo californica Acetylcholinesterase Complexed with (+)-Huperzine A and (−)-Huperzine B: Structural Evidence for an Active Site Rearrangement,

Author

Dvir, H., primary, Jiang, H. L., additional, Wong, D. M., additional, Harel, M., additional, Chetrit, M., additional, He, X. C., additional, Jin, G. Y., additional, Yu, G. L., additional, Tang, X. C., additional, Silman, I., additional, Bai, D. L., additional, and Sussman, J. L., additional

Published
2002
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29. Malignant paraganglioma of the mesentery: a case report and review of literature

Author

Chetrit Michael, Dubé Pierre, Royal Virginie, Leblanc Guy, and Sideris Lucas

Subjects
Surgery, RD1-811, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Paragangliomas represent only 10% of chromaffin tissue tumors and those arising from the mesentery seem to be a rare occurrence. We report a case of a 55 year old man in whom an abdominal mass was discovered fortuitously by ultrasonography during a routine health exam. He presented occasional heart palpitations and diaphoresis as well as a well-demarcated mass upon abdominal physical examination. CT scan revealed a solid polylobulated mass in the right lower quadrant. Exploration laparotomy revealed a voluminous multi-nodular tumoral mass, which contained hemorrhagic spots. Histopathological studies confirmed the presence of a paraganglioma. The excision of the mass as well as the surrounding intestine and mesentery also revealed two lymphatic metastases, the first among 14 documented cases to be described concerning mesenteric paragangliomas. One year follow up and CT scan revealed neither recurrence nor the presence of distant metastases.

Published
2012
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30. Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19

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Andrew J. Einstein, Cole Hirschfeld, Michelle C. Williams, Joao V. Vitola, Nathan Better, Todd C. Villines, Rodrigo Cerci, Leslee J. Shaw, Andrew D. Choi, Sharmila Dorbala, Ganesan Karthikeyan, Bin Lu, Valentin Sinitsyn, Alexey A. Ansheles, Takashi Kudo, Chiara Bucciarelli-Ducci, Bjarne Linde Nørgaard, Pál Maurovich-Horvat, Roxana Campisi, Elisa Milan, Lizette Louw, Adel H. Allam, Mona Bhatia, Lorenzo Sewanan, Eli Malkovskiy, Yosef Cohen, Michael Randazzo, Jagat Narula, Olga Morozova, Thomas N.B. Pascual, Yaroslav Pynda, Maurizio Dondi, Diana Paez, Gerd Hinterleitner, Yao Lu, Zhuoran Xu, Cole B. 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Manafi-Farid, R, Tajik, M, Arnson, Y, Fuchs, S, Goldkorn, R, Kennedy, J, Leitman, M, Shalev, A, Acampa, W, Albano, D, Alongi, P, Arnone, G, Assante, R, Baritussio, A, Bauckneht, M, Bianco, F, Bonfiglioli, R, Bovenzi, F, Bruno, I, Bruno, A, Busnardo, E, Califaretti, E, Casoni, R, Censullo, V, Chierichetti, F, Chiocchi, M, Cittanti, C, Clemente, A, Cuocolo, A, De Rimini, M, De Vincentis, G, Della Tommasina, V, Dellegrottaglie, S, Erba, P, Evangelista, L, Faggi, L, Faragasso, E, Florimonte, L, Frantellizzi, V, Gatti, M, Gaudiano, A, Gelardi, F, Gerali, A, Gimelli, A, Guglielmo, M, Leccisotti, L, Liga, R, Liguori, C, Longo, G, Maffione, M, Marcassa, C, Matassa, G, Mele, D, Mircoli, L, Paccagnella, A, Pacella, S, Padovano, F, Pellegrini, D, Pergola, V, Pugliese, L, Quartuccio, N, Rampin, L, Ricci, F, Rubini, G, Russo, V, Sambuceti, G, Scatteia, A, Sciagra, R, Spidalieri, G, Stefanelli, A, Tedeschi, C, Ventroni, G, Baugh, D, Madu, E, Aikawa, T, Asano, H, Fujimoto, S, Fujise, K, Fukushima, Y, Fukuyama, K, Ichikawa, Y, Ideguchi, R, Iguchi, N, Imai, M, Ishimura, H, Isobe, S, Ito, K, Izawa, Y, Kadokami, T, Kasai, T, Kato, T, Kawamoto, T, Kiryu, S, Kumita, S, Manabe, O, Maruno, H, Matsumoto, N, Miyagawa, M, Moroi, M, Nagamachi, S, Nakajima, K, Nakazato, R, Nanasato, M, Naya, M, Norikane, T, Ohta, Y, Otomi, Y, Otsuka, H, Oyama-Manabe, N, Saito, M, Sarai, M, Sato, J, Sato, D, Shiraishi, S, Takanami, K, Takehana, K, Taniguchi, Y, Teragawa, H, Tomizawa, N, Umeji, K, Wakabayashi, Y, Yamada, S, Yamazaki, S, Yoneyama, T, Rawashdeh, M, Dautov, T, Makhdomi, K, Abass, M, Garashi, M, Siraj, Q, Kalnina, M, Haidar, M, Komiagiene, R, Kviecinskiene, G, Vajauskas, D, Karim, N, Doucoure, M, Reichmuth, L, Samuel, A, Dieng, M, Naojee, A, Hernandez, E, Alducin Tellez, C, Alexanderson-Rosas, E, Barragan, E, Cabada, M, Calderon, D, Carvajal-Juarez, I, Esparza, J, Gama-Moreno, M, Quinto, V, Gonzalez, N, Herrera-Zarza, M, Meave, A, Medina Verdugo, J, Melendez, G, Morales Murguia, R, Navarro Quiroz, C, Ornelas, M, Preciado-Anaya, A, Preciado-Gutierrez, O, Puente, A, Salazar, A, Rosales Uvera, S, Rosales-Uvera, S, Serna Macias, J, Sierra-Galan, L, Tirado Alderete, J, Vallejo, E, Faraggi, M, Sereegotov, E, Ben Rais, N, Alaoui, N, Kyiphyu, T, Oo, S, Win, S, Zar, H, Ghimire, R, Neupane, M, Glaudemans, A, Slart, R, Verschure, D, Allen, B, Edmond, J, Mckenzie, C, Tie, S, Van Pelt, N, Worthington, K, Young, C, Soli, I, Kana, S, Onubogu, U, Sani, M, Braten, A, Jorgensen, A, Vassbotn, H, Al Dhuhli, H, Jawa, Z, Tag, N, Fatima, S, Imran, M, Younis, M, Saadullah, M, Malo, Y, Lenturut-Katal, D, Castillo, M, Ortellado, J, Akhter, A, Cader, F, Hussain, R, Khan, S, Mandal, T, Nasreen, F, An, Y, Cao, D, Gong, L, Hou, Y, Jia, C, Li, T, Li, C, Liu, H, Liu, W, Liu, J, Ng, M, Shi, H, Tang, C, Wang, X, Wang, Z, Wang, Y, Wu, J, Yi, Y, Yuan, L, Zhang, T, Zhang, L, Chavez, E, Cruz, C, Llontop, C, Morales, R, Abrihan, P, Bustos-Barroso, A, Duldulao-Ogbac, M, Eduarte, C, Obaldo, J, Quinon, A, San Juan, B, San Juan, C, Sauler-Gomez, M, Uy, M, Kostkiewicz, M, Kunikowska, J, Teresinska, A, Urbanik, T, Bettencourt, N, Fontes-Carvalho, R, Gavina, C, Goncalves, L, Macedo, F, Moreno, N, Sousa, C, Timoteo, A, Vidigal, M, Al Heidous, M, Ramanathan, S, Arnous, S, Aytani, S, Byrne, A, Gleeson, T, Kerins, D, O'Brien, J, Bang, J, Bom, H, Cheon, M, Cheon, G, Cho, S, Hong, C, Jeong, Y, Kang, W, Kang, Y, Kim, J, Oh, S, So, Y, Song, H, Won, K, Yoo, S, Mitevska, I, Vavlukis, M, Salobir, B, Stalc, M, Benedek, T, Pop, M, Stan, C, Dariy, O, Gagarina, N, Itskovich, I, Karalkin, A, Kokov, A, Marina, G, Migunova, E, Pospelov, V, Ryzhkova, D, Sayfullina, G, Sergienko, V, Shurupova, I, Vakhromeeva, M, Valiullina, N, Zavadovsky, K, Zhuravlev, K, Abazid, R, Al Garni, T, Alasnag, M, Aljizeeri, A, Amer, H, Amro, A, Hamdy, H, Smettei, O, Saranovic, D, Vlajkovic, M, Keng, F, See, J, Berecova, Z, Mistinova, J, Evbuomwan, O, Govender, N, Hack, J, Hadebe, B, Hlongwa, K, Kaplan, M, Lakhi, H, Milos, K, Modiselle, M, More, S, Muambadzi, N, Scholtz, L, Barreiro-Perez, M, Blanco, I, Broncano, J, Camarero, A, Casans-Tormo, I, De Haro, J, Flotats, A, Garcia, E, Mendiguchia, C, Jimenez-Heffernan, A, Leta, R, Diaz, J, Vega, L, Manovel-Sanchez, A, Monzonis, A, Patrut, B, Pubul, V, Perez, R, Zeidan, N, Nanayakkara, D, Suliman, A, Engblom, H, Murtadha, M, Ostenfeld, E, Simonsson, M, Alkadhi, H, Buechel, R, Burger, P, Grani, C, Kamani, C, Kawel-Bohm, N, Klaeser, B, Manka, R, Prior, J, Kaewchur, T, Khiewvan, B, Kositwattanarerk, A, Namwongprom, S, Thientunyakit, T, Sayman, H, Yuksel, M, Sebikali, M, Okello, E, Korol, P, Noverko, I, Satyr, M, Ahmad, T, Alfakih, K, Andrade, I, Buckingham, S, Bularga, A, Carpenter, J, Cole, G, Cusack, D, David, S, Davis, P, Fairbairn, T, Ghosh, A, Ramkumar, P, Hamilton, M, Haque, F, Hudson, B, Johnstone, A, Karthikeyan, V, Kay, M, Khan, M, Kitt, J, Low, C, Mcalindon, E, Mccreavy, D, Morrissey, B, Motwani, M, Na, D, Nicol, E, Patel, D, Rodrigues, J, Rofe, C, Schofield, R, Semple, T, Sheikh, A, Sinha, A, Subedi, D, Topping, W, Tweed, K, Underwood, S, Weir-Mccall, J, Zuhairy, H, Abbasi, T, Abohashem, S, Abramson, S, Al-Mallah, M, Kumar, M, Balmer-Swain, M, Berman, D, Bernheim, A, Bhatti, S, Biederman, R, Bieging, E, Bingham, S, Bloom, S, Blue, S, Borges, A, Branch, K, Bravo, P, Buddhe, S, Budoff, M, Bullock-Palmer, R, Cahill, M, Candela, C, Cao, J, Chatterjee, S, Chatzizisis, Y, Chaudhuri, N, Cheezum, M, Chelliah, A, Chen, T, Chen, M, Chen, L, Chokshi, A, Chung, J, Danciu, S, Desisto, W, Dilorenzo, M, Doukky, R, Duvall, W, Ferencik, M, Foster, C, Fuisz, A, Gannon, M, German, D, Gerson, M, Geske, J, Hage, F, Haider, A, Haider, S, Hamirani, Y, Hassen, K, Hendel, R, Henkel, J, Horgan, S, Hyun, M, Janardhanan, R, Jerome, S, Kalra, D, Kassop, D, Kinkhabwala, M, Kinzfogl, G, Koch, B, Koweek, L, Krepp, J, Kwon, Y, Layer, J, Lesser, J, Leung, S, Lisske, B, Magurany, K, Markowitz, J, Mccullough, B, Moalemi, A, Moffitt, C, Montanez, J, Moore, W, Morayati, S, Mossa-Basha, M, Mrsic, Z, Murthy, V, Nagpal, P, Nelson, K, Nijjar, P, O'Quinn, R, Passen, E, Patil, P, Pursnani, A, Quachang, N, Rabbat, M, Ranjan, P, Lozano, P, Schemmer, M, Seifried, R, Shah, N, Shah, A, Shanbhag, S, Sharma, G, Skotnicki, R, Sobczak, M, Soman, P, Sorrell, V, Srichai, M, Streeter, J, Strickland, L, Suliman, S, Tebyanian, N, Thomas, D, Thompson, R, Uretsky, S, Vallurupalli, S, Vandyck-Acquah, M, Verma, V, Weinstein, J, Wolinsky, D, Zareba, K, Zgaljardic, M, Beretta, M, Ferrando, R, Kapitan, M, Mut, F, Djuraev, O, Rozikhodjaeva, G, Vera, L, Duc, B, Nguyen, X, Hiep Nguyen, P, Einstein, Andrew J, Hirschfeld, Cole, Williams, Michelle C, Vitola, Joao V, Better, Nathan, Villines, Todd C, Cerci, Rodrigo, Shaw, Leslee J, Choi, Andrew D, Dorbala, Sharmila, Karthikeyan, Ganesan, Lu, Bin, Sinitsyn, Valentin, Ansheles, Alexey A, Kudo, Takashi, Bucciarelli-Ducci, Chiara, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Campisi, Roxana, Milan, Elisa, Louw, Lizette, Allam, Adel H, Bhatia, Mona, Sewanan, Lorenzo, Malkovskiy, Eli, Cohen, Yosef, Randazzo, Michael, Narula, Jagat, Morozova, Olga, Pascual, Thomas N B, Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, and Cuocolo, Alberto

Subjects
cardiac testing, Health Personnel, delivery of health care, coronavirus, COVID-19, global health, 610 Medicine & health, cardiovascular disease, health personnel, humans, pandemics, surveys and questionnaires, coronaviru, Surveys and Questionnaires, Humans, Cardiology and Cardiovascular Medicine, Delivery of Health Care, Pandemics, COVID-19/epidemiology
Abstract

BACKGROUND: The extent to which health care systems have adapted to the COVID-19 pandemic to provide necessary cardiac diagnostic services is unknown.OBJECTIVES: The aim of this study was to determine the impact of the pandemic on cardiac testing practices, volumes and types of diagnostic services, and perceived psychological stress to health care providers worldwide.METHODS: The International Atomic Energy Agency conducted a worldwide survey assessing alterations from baseline in cardiovascular diagnostic care at the pandemic's onset and 1 year later. Multivariable regression was used to determine factors associated with procedure volume recovery.RESULTS: Surveys were submitted from 669 centers in 107 countries. Worldwide reduction in cardiac procedure volumes of 64% from March 2019 to April 2020 recovered by April 2021 in high- and upper middle-income countries (recovery rates of 108% and 99%) but remained depressed in lower middle- and low-income countries (46% and 30% recovery). Although stress testing was used 12% less frequently in 2021 than in 2019, coronary computed tomographic angiography was used 14% more, a trend also seen for other advanced cardiac imaging modalities (positron emission tomography and magnetic resonance; 22%-25% increases). Pandemic-related psychological stress was estimated to have affected nearly 40% of staff, impacting patient care at 78% of sites. In multivariable regression, only lower-income status and physicians' psychological stress were significant in predicting recovery of cardiac testing.CONCLUSIONS: Cardiac diagnostic testing has yet to recover to prepandemic levels in lower-income countries. Worldwide, the decrease in standard stress testing is offset by greater use of advanced cardiac imaging modalities. Pandemic-related psychological stress among providers is widespread and associated with poor recovery of cardiac testing.

Published
2022
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31. The Emerging Role of Multimodality Imaging in the Diagnosis and Management of Post Pericardiotomy Syndrome.

Author

Alqahtani M, Mardigyan V, and Chetrit M

Subjects
Humans, Tomography, X-Ray Computed, Pericardiectomy, Magnetic Resonance Imaging, Postpericardiotomy Syndrome etiology, Multimodal Imaging methods, Echocardiography methods
Abstract

Purpose of Review: This review aims to evaluate current diagnostic and therapeutic strategies for postpericardiotomy syndrome (PPS), with a focus on the evolving role of multimodality imaging, including echocardiography, cardiac computed tomography (CCT), and cardiac magnetic resonance imaging (CMR). The review also explores the potential benefits of advanced imaging in improving the accuracy and management of PPS., Recent Findings: PPS, a common complication following cardiac surgery, presents with pleuritic chest pain, fever, and pericardial or pleural effusion. Traditional diagnostic methods like echocardiography and X-ray are increasingly supplemented by advanced imaging modalities such as CCT and CMR. These tools allow for better visualization of pericardial inflammation and effusion, aiding in diagnosis and guiding treatment. Colchicine and NSAIDs remain the most effective treatments for PPS, while the role of corticosteroids remains uncertain. Biological treatments have shown promising results in managing recurrent pericarditis. This review presents a proposed algorithm for the diagnosis and management of PPS, drawing on our institutional experience. Multimodality imaging is emerging as an essential tool in diagnosing and managing PPS. It enhances diagnostic precision, informs treatment strategies, and provides prognostic insights. As imaging technology advances, integrating these modalities into PPS care has the potential to improve patient outcomes., Competing Interests: Declarations. Competing Interests: The authors declare no competing interests. Conflict of Interest: The authors declare that they have no conflict of interest. Human and Animal Rights and Informed Consent: This article does not contain any studies with human or animal subjects performed by any of the authors., (© 2025. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Published
2025
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32. Tricuspid Valve S-Curves and Chamber Views: Implications for Transcatheter Tricuspid and Pulmonary Valve Interventions, Part 2 of the S-Curves and Chamber Views Series.

Author

Zgheib A, De Backer O, Afilalo J, Quagliana A, Campens L, Al Asmar M, Al Ismaili A, Angiolillo D, Ajmone-Marsan N, Von Bardeleben RS, Buithieu J, Cavalcante J, Chetrit M, Choi C, Coisne A, Delgado V, Donal E, Duncan A, Dreyfus J, Fam N, Grapsa J, Granada J, Gackowski A, Hahn R, Ho E, Latib A, Medina de Chazal HA, Martucci G, Maisano F, Messika-Zeitoun D, Modine T, Muraru D, Mousavi N, Praz F, Redwood S, Patterson T, Sarano M, Spaziano M, Swaans M, Sitges M, Zamorano JL, van Mieghem N, Tchetche D, Tournoux F, Wunderlich N, Prendergast B, and Piazza N

Subjects
Humans, Fluoroscopy, Predictive Value of Tests, Multidetector Computed Tomography, Multimodal Imaging, Treatment Outcome, Heart Valve Diseases diagnostic imaging, Heart Valve Diseases surgery, Heart Valve Diseases physiopathology, Tricuspid Valve diagnostic imaging, Tricuspid Valve surgery, Tricuspid Valve physiopathology, Cardiac Catheterization instrumentation, Cardiac Catheterization adverse effects, Heart Valve Prosthesis Implantation instrumentation, Heart Valve Prosthesis Implantation adverse effects, Pulmonary Valve diagnostic imaging, Pulmonary Valve surgery, Pulmonary Valve physiopathology, Radiography, Interventional
Abstract

Despite the challenges associated with periprocedural imaging, transcatheter tricuspid valve interventions have shown important impact on outcomes. A comprehensive understanding of the anatomy of the right heart and surrounding structures is crucial. One way to optimize these interventions is by identifying the optimal fluoroscopic viewing angles along the S-curve of the tricuspid valve. Integration of chamber views using multimodality imaging (multislice computed tomography, fluoroscopy, and echocardiography) may increase operator confidence and reduce procedural duration, radiation exposure, contrast volume, and complication rates., Competing Interests: Funding Support and Author Disclosures The authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Published
2024
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33. Comprehensive review of artifacts in cardiac MRI and their mitigation.

Author

Rafiee MJ, Eyre K, Leo M, Benovoy M, Friedrich MG, and Chetrit M

Subjects
Humans, Reproducibility of Results, Prognosis, Artifacts, Predictive Value of Tests, Magnetic Resonance Imaging, Heart Diseases diagnostic imaging
Abstract

Cardiac magnetic resonance imaging (CMR) is an important clinical tool that obtains high-quality images for assessment of cardiac morphology, function, and tissue characteristics. However, the technique may be prone to artifacts that may limit the diagnostic interpretation of images. This article reviews common artifacts which may appear in CMR exams by describing their appearance, the challenges they mitigate true pathology, and offering possible solutions to reduce their impact. Additionally, this article acts as an update to previous CMR artifacts reports by including discussion about new CMR innovations., (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)

Published
2024
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34. Pericardial Diseases: International Position Statement on New Concepts and Advances in Multimodality Cardiac Imaging.

Author

Klein AL, Wang TKM, Cremer PC, Abbate A, Adler Y, Asher C, Brucato A, Chetrit M, Hoit B, Jellis CL, Kwon DH, LeWinter M, Lin D, Luis SA, Mardigyan V, Oh JK, Ordovas KG, Rodriugez ER, Schenone AL, Tan CD, Weber B, and Imazio M

Subjects
Humans, Diffusion of Innovation, Prognosis, Pericarditis diagnostic imaging, Pericarditis therapy, Pericarditis physiopathology, Pericarditis drug therapy, Pericarditis, Constrictive diagnostic imaging, Pericarditis, Constrictive physiopathology, Pericarditis, Constrictive therapy, Cardiac Imaging Techniques standards, Predictive Value of Tests, Multimodal Imaging standards, Consensus, Pericardium diagnostic imaging
Abstract

Pericardial diseases have gained renewed clinical interest, leading to a renaissance in the field. There have been many recent advances in pericardial diseases in both multimodality cardiac imaging of diagnoses, such as recurrent, transient constrictive and effusive-constrictive pericarditis, and targeted therapeutics, especially anti-interleukin (IL)-1 agents that affect the inflammasome as part of autoinflammatory pathophysiology. There remains a large educational gap for clinicians, leading to variability in evaluation and management of these patients. The latest pericardial imaging (American Society of Echocardiography, European Association of Cardiovascular Imaging) and clinical guidelines (European Society of Cardiology) are >8-10 years of age and may not reflect current practice. Recent clinical trials involving anti-IL-1 agents in recurrent pericarditis, including anakinra (AIRTRIP), rilonacept (RHAPSODY), and goflikicept have demonstrated their efficacy. The present document represents an international position statement from world leaders in the pericardial field, focusing on novel concepts and emphasizing the role of multimodality cardiac imaging as well as new therapeutics in pericardial diseases., Competing Interests: Funding Support and Author Disclosures Dr Klein has received research grants from Kiniksa Pharmaceuticals and Cardiol Therapeutics, and is on advisory boards for Kiniksa Pharmaceuticals, Cardiol Therapeutics, and Pfizer. Dr Cremer has received research grants from Kiniksa Pharmaceutics and Novartis, and is on advisory boards for Kiniksa Pharmaceutics and Swedish Orphan Biovitrum. Antonio Abbate has received consulting fees from Cardiol Therapeutics, Kiniksa Pharmaceuticals, Implicit Biosciences, Novo Nordisk, Olatec, R-Pharm, Serpin Pharma, and Swedish Orphan Biovitrum. Dr Asher has received royalties from Wolters-Kluwer Publishing Company. Dr Brucato’s institution has received funding from Kiniksa Pharmaceuticals as an investigative site, unrestricted research grants from Swedish Orphan Biovitrum and ACARPIA, and travel and accommodation for advisory committee from Swedish Orphan Biovitrum and Kiniksa. Dr Hoit is speaker for Philips Medical. Dr Kwon has received a research grant from the National Heart, Lung, and Blood Institute of the National Institutes of Health (1R01HL170090-01) and has research agreements with Circle cvi42 and Myocardial Solutions. Dr LeWinter has received a research grant from and is on an advisory board for Kiniksa Pharmaceuticals. Dr Lin is on an advisory board for Kiniksa Pharmaceuticals. Dr Luis is a consultant for Medtronic, Kiniksa Pharmaceuticals, Cardiol Therapeutic, and Swedish Orphan Biovitrum Pharmaceuticals; Dr Ordovas has received a research grant from the American College of Radiology; Dr Schenone is on the speaking bureau for Bristol Myers Squibb; Dr Weber is on advisory boards for Kiniksa Pharmaceuticals, Novo Nordisk, and Horizon Therapeutics; Dr Imazio is on advisory boards for Kiniksa Pharmaceuticals and Cardiol Therapeutics. The other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Published
2024
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35. Inter-scanner comparability of Z-scores for native myocardial T1 and T2 mapping.

Author

Razzaq S, Haririsanati L, Eyre K, Garg R, Chetrit M, and Friedrich MG

Subjects
Humans, Female, Male, Reproducibility of Results, Adult, Middle Aged, Equipment Design, Magnetic Resonance Imaging, Cine, Magnetic Resonance Imaging, Myocardium pathology, Observer Variation, Young Adult, Predictive Value of Tests, Image Interpretation, Computer-Assisted, Healthy Volunteers
Abstract

Background: Cardiovascular Magnetic Resonance (CMR) native T1 and T2 mapping serve as robust, contrast-agent-free diagnostic tools, but hardware- and software-specific sources of variability limit the generalizability of data across CMR platforms, consequently limiting the interpretability of patient-specific parametric data. Z-scores are used to describe the relationship of observed values to the mean results as obtained in a sufficiently large normal sample. They have been successfully used to describe the severity of quantifiable abnormalities in medicine, specifically in children and adolescents. The objective of this study was to observe whether z-scores can improve the comparability of T1 and T2 mapping values across CMR scanners, field strengths, and sequences from different vendors in the same participant rather than different participants (as seen in previous studies)., Methods: Fifty-one healthy volunteers (26 men/25 women, mean age = 43 ± 13.51) underwent three CMR exams on three different scanners, using a Modified Look-Locker Inversion Recovery (MOLLI) 5-(3)- 3 sequence to quantify myocardial T1. For T2 mapping, a True Fast Imaging with steady-state free precession (TRUFI) sequence was used on a 3 T Skyra™ (Siemens), and a T2 Fast Spin Echo (FSE) sequence was used on 1.5 T Artist™ (GE) and 3.0 T Premier™ (GE) scanners. The averages of basal and mid-ventricular short axis slices were used to derive means and standard deviations of global mapping values. We used intra-class comparisons (ICC), repeated measures ANOVA, and paired Student's t-tests for statistical analyses., Results: There was a significant improvement in intra-subject comparability of T1 (ICC of 0.11 (95% CI= -0.018, -0.332) vs 0.78 (95% CI= 0.650, 0.866)) and T2 (ICC of 0.35 (95% CI= -0.053, 0.652) vs 0.83 (95% CI= 0.726, 0.898)) when using z-scores across all three scanners. While the absolute global T1 and T2 values showed a statistically significant difference between scanners (p < 0.001), no such differences were identified using z-scores (T1 z : p = 0.771; T2 z : p = 0.985). Furthermore, when images were not corrected for motion, T1 z-scores showed significant inter-scanner variability (p < 0.001), resolved by motion correction., Conclusion: Employing z-scores for reporting myocardial T1 and T2 removes the variation of quantitative mapping results across different MRI systems and field strengths, improving the clinical utility of myocardial tissue characterization in patients with suspected myocardial disease., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Matthias Friedrich reports financial support was provided by Courtois Foundation. Matthias Friedrich reports financial support was provided by Research Institute of the McGill University Health Centre. Matthias Friedrich reports a relationship with Circle Cardiovascular Imaging Inc that includes: equity or stocks. Matthias Friedrich reports a relationship with Area 19 Medical Inc. that includes: equity or stocks. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Inc.)

Published
2024
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37. Novel contouring method for optimizing MRI flow quantification in patients with aortic valve disease.

Author

Yaman MM, Chetrit M, Bullen J, Bolen MA, Flamm SD, and Kwon D

Subjects
Humans, Male, Middle Aged, Female, Predictive Value of Tests, Magnetic Resonance Imaging methods, Stroke Volume, Aortic Valve diagnostic imaging, Mitral Valve Insufficiency diagnostic imaging, Aortic Valve Disease
Abstract

Optimizing MRI aortic flow quantification is crucial for accurate assessment of valvular disease severity. In this study, we sought to evaluate the accuracy of a novel method of contouring systolic aortic forward flow in comparison to standard contouring methods at various aortic levels. The study included a cohort of patients with native aortic valve (AoV) disease and a small control group referred to cardiac MRI over a 1-year period. Inclusion criteria included aortic flow quantification at aortic valve and one additional level, and no or trace mitral regurgitation (MR) documented both by the MRI AND an echocardiogram done within a year. In addition to flow quantification with standard contouring (SC), a novel Selective Systolic Contouring (SSC) method was performed at aortic valve level, contouring the area demarcated by the AoV leaflets in systole. The bias in each technique's estimate of aortic forward flow was calculated as the mean difference between aortic forward flow and left ventricular stroke volume (LV SV). 98 patients (mean age 56, 71% male) were included: 33 with tricuspid and 65 with congenitally abnormal (bicuspid or unicuspid) AoV. All methods tended to underestimate aortic forward flow, but the bias was smallest with the SSC method (p < 0.001). Therefore, SSC yielded the lowest estimates of mitral regurgitant volume (4.8 ml) and regurgitant fraction (3.9%) (p < 0.05). SSC at AoV level better approximates LV SV in our cohort, and may provide more accurate quantitative assessment of both aortic and mitral valve function., (© 2024. The Author(s).)

Published
2024
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38. Meta-Analysis of Normal Reference Values for Right and Left Ventricular Quantification by Cardiovascular Magnetic Resonance.

Author

Zhan Y, Friedrich MG, Dendukuri N, Lu Y, Chetrit M, Schiller I, Joseph L, Shaw JL, Chuang ML, Riffel JH, Manning WJ, and Afilalo J

Subjects
Adult, Male, Humans, Female, Reference Values, Bayes Theorem, Stroke Volume, Papillary Muscles, Magnetic Resonance Spectroscopy, Magnetic Resonance Imaging, Cine, Reproducibility of Results, Heart Ventricles diagnostic imaging, Ventricular Function, Left
Abstract

Background: Cardiovascular magnetic resonance (CMR) reference values are relied upon to accurately diagnose left ventricular (LV) and right ventricular (RV) pathologies. To date, reference values have been derived from modest sample sizes with limited patient diversity and attention to 1 but not both commonly used tracing techniques for papillary muscles and trabeculations. We sought to overcome these limitations by meta-analyzing normal reference values for CMR parameters stemming from multiple countries, vendors, analysts, and patient populations., Methods: We comprehensively extracted published and unpublished data from studies reporting CMR parameters in healthy adults. A steady-state free-precession short-axis stack at 1.5T or 3T was used to trace either counting the papillary muscles and trabeculations in the LV volume or mass. We used a novel Bayesian hierarchical meta-analysis model to derive the pooled lower and upper reference values for each CMR parameter. Our model accounted for the expected differences between tracing techniques by including informative prior distributions from a large external data set., Results: A total of 254 studies from 25 different countries were systematically reviewed, representing 12 812 healthy adults, of which 52 were meta-analyzed. For LV parameters counting papillary muscles and trabeculations in the LV volume, pooled normative reference ranges in men and women, respectively, were as follows: LV ejection fraction of 52% to 73% and 54% to 75%, LV end-diastolic volume index of 60 to 109 and 56 to 96 mL/m 2 , LV end-systolic volume index of 18 to 45 and 16 to 38 mL/m 2 , and LV mass index of 41 to 76 and 33 to 57 g/m 2 . For LV parameters counting papillary muscles and trabeculations in the LV mass, pooled normative reference ranges in men and women, respectively, were as follows: LV ejection fraction of 57% to 74% and 57% to 75%, LV end-diastolic volume index of 60 to 97 and 55 to 88 mL/m 2 , LV end-systolic volume index of 18 to 37 and 15 to 34 mL/m 2 , and LV mass index of 50 to 83 and 38 to 65 g/m 2 . For RV parameters, pooled normative reference ranges in men and women, respectively, were as follows: RV ejection fraction of 47% to 68% and 49% to 71%, RV end-diastolic volume index of 64 to 115 and 57 to 99 mL/m 2 , RV end-systolic volume index of 23 to 52 and 18 to 42 mL/m 2 , and RV mass index of 14 to 29 and 13 to 25 g/m 2 ., Conclusions: Our Bayesian hierarchical meta-analysis provides normative reference values for CMR parameters of LV and RV size, systolic function, and mass, encompassing both tracing techniques across a diverse multinational sample of healthy men and women., Competing Interests: Disclosures None.

Published
2024
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39. Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.

Author

Eyre K, Rafiee MJ, Leo M, Ma J, Hillier E, Amini N, Pressacco J, Janich MA, Zhu X, Friedrich MG, and Chetrit M

Subjects
Humans, Male, Female, Prospective Studies, Reproducibility of Results, Middle Aged, Adult, Ventricular Function, Right, Aged, Heart Ventricles diagnostic imaging, Heart Ventricles physiopathology, Time Factors, Observer Variation, Stroke Volume, Deep Learning, Magnetic Resonance Imaging, Cine, Ventricular Function, Left, Predictive Value of Tests, Image Interpretation, Computer-Assisted
Abstract

Background: Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) to decrease acquisition time without compromising quantitative volumetry or image quality., Methods: A sub-study using 16 participants was performed using Sonic DL at two different acceleration factors (8× and 12×). Quantitative left-ventricular volumetry, function, and mass measurements were compared between the two acceleration factors against a standard cine method. Following this sub-study, 108 participants were prospectively recruited and imaged using a standard cine method and the Sonic DL method with the acceleration factor that more closely matched the reference method. Two experienced clinical readers rated images based on their diagnostic utility and performed all image contouring. Quantitative contrast difference and endocardial border sharpness were also assessed. Left- and right-ventricular volumetry, left-ventricular mass, and myocardial strain measurements were compared between cine methods using Bland-Altman plots, Pearson's correlation, and paired t-tests. Comparative analysis of image quality was measured using Wilcoxon-signed-rank tests and visualized using bar graphs., Results: Sonic DL at an acceleration factor of 8 more closely matched the reference cine method. There were no significant differences found across left ventricular volumetry, function, or mass measurements. In contrast, an acceleration factor of 12 resulted in a 6% (5.51/90.16) reduction of measured ejection fraction when compared to the standard cine method and a 4% (4.32/88.98) reduction of measured ejection fraction when compared to Sonic DL at an acceleration factor of 8. Thus, Sonic DL at an acceleration factor of 8 was chosen for downstream analysis. In the larger cohort, this accelerated cine sequence was successfully performed in all participants and significantly reduced the acquisition time of cine images compared to the standard 2D method (reduction of 37% (5.98/16) p < 0.0001). Diagnostic image quality ratings and quantitative image quality evaluations were statistically not different between the two methods (p > 0.05). Left- and right-ventricular volumetry and circumferential and radial strain were also similar between methods (p > 0.05) but left-ventricular mass and longitudinal strain were over-estimated using the proposed accelerated cine method (mass over-estimated by 3.36 g/m 2 , p < 0.0001; longitudinal strain over-estimated by 1.97%, p = 0.001)., Conclusion: This study found that an accelerated 2D cine method with DL reconstruction at an acceleration factor of 8 can reduce CMR cine acquisition time by 37% (5.98/16) without significantly affecting volumetry or image quality. Given the increase of scan time efficiency, this undersampled acquisition method using deep learning reconstruction should be considered for routine clinical CMR., Competing Interests: Declaration of competing interests The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Matthias Friedrich reports financial support was provided by MEDTEQ and GE Healthcare. Matthias Friedrich reports a relationship with Circle Cardiovascular Imaging Inc that includes board membership. Martin Janich, Junjie Ma, and Xucheng Zhu report a relationship with GE Healthcare that includes employment. The other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Crown Copyright © 2024. Published by Elsevier Inc. All rights reserved.)

Published
2024
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42. Chest Pain Evaluation: Diagnostic Testing.

Author

Chow BJW, Galiwango P, Poulin A, Raggi P, Small G, Juneau D, Kazmi M, Ayach B, Beanlands RS, Sanfilippo AJ, Chow CM, Paterson DI, Chetrit M, Jassal DS, Connelly K, Larose E, Bishop H, Kass M, Anderson TJ, Haddad H, Mancini J, Doucet K, Daigle JS, Ahmadi A, Leipsic J, Lim SP, McRae A, and Chou AY

Abstract

Chest pain/discomfort (CP) is a common symptom and can be a diagnostic dilemma for many clinicians. The misdiagnosis of an acute or progressive chronic cardiac etiology may carry a significant risk of morbidity and mortality. This review summarizes the different options and modalities for establishing the diagnosis and severity of coronary artery disease. An effective test selection algorithm should be individually tailored to each patient to maximize diagnostic accuracy in a timely fashion, determine short- and long-term prognosis, and permit implementation of evidence-based treatments in a cost-effective manner. Through collaboration, a decision algorithm was developed (www.chowmd.ca/cadtesting) that could be adopted widely into clinical practice., (© 2023 The Authors.)

Published
2023
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43. Echocardiographic Evaluation of Diastolic Function in Special Populations.

Author

Chan N, Wang TKM, Anthony C, Hassan OA, Chetrit M, Dillenbeck A, Smiseth OA, Nagueh SF, and Klein AL

Subjects
Humans, Echocardiography, Diastole, Ventricular Function, Left, Echocardiography, Doppler, Ventricular Dysfunction, Left
Abstract

Left ventricular (LV) diastolic dysfunction results from a combination of impaired relaxation, reduced restoring forces, and increased chamber stiffness. Noninvasive assessment of diastology uses a multiparametric approach involving surrogate markers of increased filling pressures, which include mitral inflow, septal and lateral annular velocities, tricuspid regurgitation velocity, and left atrial volume index. However, these parameters must be used cautiously. This is because the traditional algorithms for evaluating diastolic function and estimation of LV filling pressures (LVFPs), as recommended by the American Society of Echocardiography and European Association of Cardiovascular Imaging 2016 guidelines, do not apply to unique patients with underlying cardiomyopathies, significant valvular disease, conduction abnormalities, arrhythmias, LV assist devices, and heart transplants, which alter the relation between the conventional indexes of diastolic function and LVFP. The purpose of this review is to provide solutions for evaluating LVFP through illustrative examples of these special populations, incorporating supplemental Doppler indexes, such as isovolumic relaxation time, mitral deceleration time, and pulmonary venous flow analysis, as needed to formulate a more comprehensive approach., Competing Interests: Declaration of Competing Interest The authors have no conflicts of interest to declare., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Published
2023
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44. The Contemporary Role of Cardiac Computed Tomography and Cardiac Magnetic Resonance Imaging in the Diagnosis and Management of Pericardial Diseases.

Author

Conte E, Agalbato C, Melotti E, Marchetti D, Schillaci M, Ratti A, Ippolito S, Pancrazi M, Perone F, Dalla Cia A, Pepi M, Pontone G, Imazio M, Brucato A, Chetrit M, Klein A, and Andreini D

Subjects
Humans, Pericardium diagnostic imaging, Pericardium pathology, Magnetic Resonance Imaging, Pericarditis diagnostic imaging, Pericarditis therapy, Pericarditis, Constrictive diagnostic imaging, Pericarditis, Constrictive surgery, Pericardial Effusion diagnostic imaging, Pericardial Effusion therapy
Abstract

Pericardial syndromes encompass different clinical conditions from acute pericarditis to idiopathic chronic pericardial effusion. Transthoracic echocardiography is the first and most important initial diagnostic imaging modality in most patients affected by pericardial disease. However, cardiac computed tomography (CCT) and cardiac magnetic resonance imaging (CMR) have recently gained a pivotal role in cardiology, and recent reports have supported the role of both of these advanced techniques in the evaluation and guiding therapy of pericardial disease. Most promising is the capability of CMR to identify the presence of pericardial inflammation, carrying both diagnostic and prognostic value in the setting of recurrent and chronic pericarditis. In addition, CCT permits accurate evaluation of the presence and extension of pericardial calcification, providing important information in confirming the diagnosis of constrictive pericarditis and during the preprocedural planning for patients undergoing pericardiectomy. Both CCT and CMR require specific expertise, especially for the evaluation of pericardial disease. The aim of the present review is to provide physicians an updated overview of CCT and CMR in pericardial disease, focusing on technical issues, recent research findings, and potential clinical applications., (Copyright © 2023 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.)

Published
2023
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48. Pancreatic involvement in Erdheim-Chester disease: Rare presentation of a rare disease.

Author

Rafiee MJ, Taylor J, Hickeson M, Friedrich MG, and Chetrit M

Abstract

Erdheim-Chester disease (ECD) as a rare non-Langerhans histiocytosis has various clinical manifestations. It is characterized histologically by infiltration of every organ, more commonly bone, retroperitoneum, cardiovascular and CNS systems with foamy, lipid -laden macrophage. Pancreatic involvement as a manifestation of this uncommon disease has very rarely been reported. Here we report a 73-year-old woman with ECD and pancreas involvement in CT, MRI and PET scans. We also aim to increase radiologist knowledge about considering ECD as a differential diagnosis for pancreas mass in the appropriate clinical situation., (© 2023 The Authors. Published by Elsevier Inc. on behalf of University of Washington.)

Published
2023
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49. Difficult and Thin-Walled: The Challenges of Imaging the Right Ventricle for Clinical Decision Making.

Author

Friedrich MG and Chetrit M

Subjects
Humans, Predictive Value of Tests, Magnetic Resonance Imaging, Cine methods, Echocardiography methods, Clinical Decision-Making, Magnetic Resonance Imaging methods, Heart Ventricles diagnostic imaging, Myocarditis
Abstract

Competing Interests: Funding Support and Author Disclosures The authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Published
2023
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50. Effect of Myocardial Tissue Characterization Using Native T1 to Predict the Occurrence of Adverse Events in Patients With Chronic Kidney Disease and Severe Aortic Stenosis.

Author

Ramchand J, Iskandar JP, Layoun H, Puri R, Chetrit M, Burrell LM, Krishnaswamy A, Griffin BP, Yun JJ, Flamm SD, Kapadia SR, Kwon DH, and Harb SC

Subjects
Aged, Aged, 80 and over, Fibrosis, Humans, Natriuretic Peptide, Brain, Predictive Value of Tests, Risk Factors, Aortic Valve Stenosis complications, Aortic Valve Stenosis surgery, Heart Failure complications, Renal Insufficiency, Chronic complications, Renal Insufficiency, Chronic epidemiology
Abstract

Among patients with chronic kidney disease (CKD), aortic stenosis (AS) is associated with a significantly higher rate of mortality. We aimed to evaluate whether diffuse myocardial fibrosis, determined using native T1 mapping, has prognostic utility in predicting major adverse cardiovascular events (MACEs), including all-cause mortality or heart failure hospitalization, in patients with CKD and severe AS who are evaluated for transcatheter aortic valve implantation. Cardiac magnetic resonance with T1 mapping using the modified Look-Locker inversion recovery technique was performed in 117 consecutive patients with severe AS and CKD (stage ≥3). Patients were followed up to determine the occurrence of MACE. The mean age of the 117 patients in the cohort was 82 ± 8 years. Native T1 was 1,055 ms (25th- to 75th percentiles 1,031 to 1,078 ms), which is higher than previously reported in healthy controls. Patients with higher T1 times were more likely to have higher N-terminal pro-B-type natriuretic peptide levels (4,122 [IQR 1,578 to 7,980] pg/ml vs 1,678 [IQR 493 to 2,851] pg/ml, p = 0.005) and a history of heart failure (33% vs 9%, p = 0.034). After median follow-up of 3.4 years, MACE occurred in 71 patients (61%). The Society of Thoracic Surgeons predicted risk of mortality score (hazard ratio [HR] 1.07, 95% confidence interval [CI] 1.02 to 1.12, p = 0.006), native T1 >1,024 ms (HR 2.10, 95% CI 1.09 to 4.06, p = 0.028), and New York Heart Association class (HR 1.56, 95% 1.09 to 2.34, p = 0.016) were independent predictors of MACE. Longer native T1 was associated with MACE occurrence in patients with CKD and severe AS., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Published
2022
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