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1. YouTube and Instagram Applied to e-Learning

Author: Iriarte-Solano, M., Juca-Aulestia, J. M., Andrade-Vargas, L. D., Riofrío-Leiva, V., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Abad, Karina, editor, and Berrezueta, Santiago, editor
Published: 2022
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2. Clinical characteristics and outcomes of invasively ventilated patients with COVID-19 in Argentina (SATICOVID): a prospective, multicentre cohort study

Author: Estenssoro, E, Dubin, A, Loudet, C I, Ríos, F, Kanoore Edul, V S, Plotnikow, G, Reina, R, Andrian, M, Ivacachi, J, Romero, I, Garay, C, Piezny, D, Sagardía, J, Bezzi, M, Borello, S, Mandich, V, Chiacchiara, D, Groer, C, García Almirón, C, Kovac, A, Torres, S, Cesio, C, Orlandi, C, Hernández, R, Rubatto Birri, P N, Mugno, M, Valenti, M F, Gómez, R A, Cunto, E, Chediack, V, Sáenz, M G, Marchena, C, Tiribelli, N, Guaymas, M, Aphalo, V, Vázquez, D, Saad, Y, Sánchez, D, Iglesias, F, Casteluccio, P, Lattanzio, B, Eiguren, S, Noval, D, Fredes, S, Izzo, G C, Cabrera, H, Pozo, M O, Sac, S, Tornatore, N, Sakugawa, J, Villafañe, C, Di Sibio, A, Maskin, P, Rodríguez, P, Nihany, N, Mogadouro, M, Pálizas (h), F, Cornú, E, Esperatti, M, Pintos, J M, Badariotti, G, Echevarría, G, Mazzola, A M, Giuggia, C, Dargains, N, Turano, A, Pugliese, F, Zec Baskarad, M J, Chamadoira, M, Medina, J C, Búsico, M, Villarejo, F, Collazos, H, Huanca, T, Pendino, J C, Talamonti, L, Skrzypiec, F, Tascón, C, Genovese, G, Alul, H, Zavattieri, A, Herrera, A J, Rosales, N, Quintana, M G, Risso Vazquez, A, Lugaro, M, Díaz Rousseaux, E, Falcone, M, Kurban, F, Cini, M, Zakalik, G, Pellegrini, C, Fernández, G, Sottile, J P, Barrios, S, Hamada, O, Mendiluce, V, Villalba, D, Sacco, F, Mezzina, V, Servin, C, Quinteros, M, Nuñez, H, Campassi, M L, Banegas, D, Balasini, C, Leiva, V, Maicol, F, Domeniconi, G, Vilaseca, V, Barrientos, A, Larocca, F, Kumar, L, Luna, R, Deheza Lonardi, M, Oholeguy, A, Carnero Echegaray, J, Marazzi, C, Helca Regis, P, Rópolo, F, Bobadilla, A, Thomas, V, Funes Nelson, N, Villavicencio, C, Machare, P, Aramayo, N, González, C, Ferriccioni, M, Bergesio, J, Estenssoro, Elisa, Loudet, Cecilia I, Ríos, Fernando G, Kanoore Edul, Vanina S, Plotnikow, Gustavo, Andrian, Macarena, Romero, Ignacio, Piezny, Damián, Bezzi, Marco, Mandich, Verónica, Groer, Carla, Torres, Sebastián, Orlandi, Cristina, Rubatto Birri, Paolo N, Valenti, María F, Cunto, Eleonora, Sáenz, María G, Tiribelli, Norberto, Aphalo, Vanina, Reina, Rosa, and Dubin, Arnaldo
Published: 2021
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3. Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19

Author: 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. 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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

4. Hemifacial microsomia: a literature review

Author: Sebastián Véliz-Méndez, Pamela Agurto-V., and Noemí Leiva-V.
Subjects: facial asymmetry, craniofacial anomalies, asimetría facial, anomalías craneofaciales, microsomía hemifacial, Dentistry, RK1-715
Abstract: Hemifacial microsomia is the second congenital malformation in prevalence, after cleft lip and palate, and is described as a congenital alteration of the first and second branchial arches. As a condition of wide spectrum, its characteristics are expressed in many different ways and therefore treatments are usually individualized. This topic review discusses its etiology, classification, characteristics, and treatment with mandibular surgery.
Published: 2016
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5. Microsomia hemifacial. Revision de la literatura

Author: Veliz M., Sebastián, Agurto V., Pamela, and Leiva V., Noemí
Published: 2016
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6. Recomendaciones para el uso de ventilación no-invasiva en COVID-19

Author: Fernando Vega G., Marcia Aguirre Z, Matías Florenzano V., Miguel Aguayo C, Orlando Díaz P, César Maquilón O., Pablo Narbona M., Ariel Cisternas V., Víctor Leiva V., Cristián Olave C., Javier Salas O., and María Paola Arellano M.
Subjects: General Medicine
Published: 2020
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7. Robust three-step regression based on comedian and its performance in cell-wise and case-wise outliers

Author: Universidad EAFIT. Departamento de Ingeniería Mecánica, Estudios en Mantenimiento (GEMI), Velasco H., Laniado H., Toro M., Leiva V., Lio Y., Universidad EAFIT. Departamento de Ingeniería Mecánica, Estudios en Mantenimiento (GEMI), Velasco H., Laniado H., Toro M., Leiva V., and Lio Y.
Abstract: Both cell-wise and case-wise outliers may appear in a real data set at the same time. Few methods have been developed in order to deal with both types of outliers when formulating a regression model. In this work, a robust estimator is proposed based on a three-step method named 3S-regression, which uses the comedian as a highly robust scatter estimate. An intensive simulation study is conducted in order to evaluate the performance of the proposed comedian 3S-regression estimator in the presence of cell-wise and case-wise outliers. In addition, a comparison of this estimator with recently developed robust methods is carried out. The proposed method is also extended to the model with continuous and dummy covariates. Finally, a real data set is analyzed for illustration in order to show potential applications. © 2020 by the authors.
Published: 2021

8. Robust three-step regression based on comedian and its performance in cell-wise and case-wise outliers

Author: Universidad EAFIT. Departamento de Ingeniería de Sistemas, I+D+I en Tecnologías de la Información y las Comunicaciones, Velasco H., Laniado H., Toro M., Leiva V., Lio Y., Universidad EAFIT. Departamento de Ingeniería de Sistemas, I+D+I en Tecnologías de la Información y las Comunicaciones, Velasco H., Laniado H., Toro M., Leiva V., and Lio Y.
Abstract: Both cell-wise and case-wise outliers may appear in a real data set at the same time. Few methods have been developed in order to deal with both types of outliers when formulating a regression model. In this work, a robust estimator is proposed based on a three-step method named 3S-regression, which uses the comedian as a highly robust scatter estimate. An intensive simulation study is conducted in order to evaluate the performance of the proposed comedian 3S-regression estimator in the presence of cell-wise and case-wise outliers. In addition, a comparison of this estimator with recently developed robust methods is carried out. The proposed method is also extended to the model with continuous and dummy covariates. Finally, a real data set is analyzed for illustration in order to show potential applications. © 2020 by the authors.
Published: 2021

9. Robust three-step regression based on comedian and its performance in cell-wise and case-wise outliers

Author: Universidad EAFIT. Escuela de Ciencias, Modelado Matemático, Velasco H., Laniado H., Toro M., Leiva V., Lio Y., Universidad EAFIT. Escuela de Ciencias, Modelado Matemático, Velasco H., Laniado H., Toro M., Leiva V., and Lio Y.
Abstract: Both cell-wise and case-wise outliers may appear in a real data set at the same time. Few methods have been developed in order to deal with both types of outliers when formulating a regression model. In this work, a robust estimator is proposed based on a three-step method named 3S-regression, which uses the comedian as a highly robust scatter estimate. An intensive simulation study is conducted in order to evaluate the performance of the proposed comedian 3S-regression estimator in the presence of cell-wise and case-wise outliers. In addition, a comparison of this estimator with recently developed robust methods is carried out. The proposed method is also extended to the model with continuous and dummy covariates. Finally, a real data set is analyzed for illustration in order to show potential applications. © 2020 by the authors.
Published: 2021

10. An errors-in-variables model based on the Birnbaum-Saunders and its diagnostics with an application to earthquake data

Author: Carrasco, JMF, Figueroa-Zuñiga, JI, Leiva, V, Riquelme, M, and Aykroyd, RG
Subjects: Statistics::Methodology
Abstract: Regression modelling where explanatory variables are measured with error is a common problem in applied sciences. However, if inappropriate analysis methods are applied, then unreliable conclusions can be made. This work deals with estimation and diagnostic analytics in regression modelling based on the Birnbaum–Saunders distribution using additive measurement errors. The maximum pseudo-likelihood and regression calibration methods are used for parameter estimation. We also carry out a residual analysis and apply global and local diagnostic techniques in order to detect anomalous and potentially influential observations. Simulations are conducted to validate the proposed approach and to evaluate performance. A real-world data set, related to earthquakes, is used to illustrate the new approach.
Published: 2020

11. Efecto antagonico de un cultivo iniciador sobre el desarrollo de los microorganismos patogenos Escherichia coli y Staphylococcus aureus, en un embutido fermentado

Author: Morales, J., Roca, M., PÃ©rez, J., Borrego, O., and Leiva, V.
Published: 2004

12. Recomendaciones para el uso de ventilación no-invasiva en COVID-19

Author: Arellano M., María Paola, primary, Díaz P., Orlando, additional, Narbona M., Pablo, additional, Aguayo C., Miguel, additional, Salas O., Javier, additional, Leiva V., Víctor, additional, Aguirre Z., Marcia, additional, Maquilón O., César, additional, Vega G., Fernando, additional, Olave C., Cristián, additional, Cisternas V., Ariel, additional, and Florenzano V., Matías, additional
Published: 2020
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13. Resultados a largo plazo de la rehabilitación del piso pélvico en pacientes con incontinencia fecal.

Author: Cárcamo G., Leonardo, Aljaro E., Sofía, Castro V., Fernanda, Leiva V., José, Palominos S., Gonzalo, Bellolio R., Felipe, Larach K., Tomas, Urrejola S., Gonzalo, Miguieles C., Rodrigo, Molina A., Oriana, and Molina P., María E.
Abstract: Copyright of Revista de Cirugia is the property of Sociedad de Cirujanos de Chile and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Published: 2022
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14. Birnbaum–Saunders autoregressive conditional duration models applied to high-frequency financial data

Author: Saulo, H, Leão, J, Leiva, V, and Aykroyd, RG
Abstract: Modern financial markets now record the precise time of each stock trade, along with price and volume, with the aim of analysing the structure of the times between trading events—leading to a big data problem. In this paper, we propose and compare two Birnbaum–Saunders autoregressive conditional duration models specified in terms of time-varying conditional median and mean durations. These models provide a novel alternative to the existing autoregressive conditional duration models due to their flexibility and ease of estimation. Diagnostic tools are developed to allow goodness-of-fit assessment and to detect departures from assumptions, including the presence of outliers and influential cases. These diagnostic tools are based on the parameter estimates using residual analysis and the Cook distance for global influence, and different perturbation schemes for local influence. A thorough Monte Carlo study is presented to evaluate the performance of the maximum likelihood estimators, and the forecasting ability of the models is assessed using the traditional and density forecast evaluation techniques. The Monte Carlo study suggests that the parameter estimators are asymptotically unbiased, consistent and normally distributed. Finally, a full analysis of a real-world financial transaction data set, from the German DAX in 2016, is presented to illustrate the proposed approach and to compare the fitting and forecasting performances with existing models in the literature. One case related to the duration time is identified as potentially influential, but its removal does not change resulting inferences demonstrating the robustness of the proposed approach. Fitting and forecasting performances favor the proposed models and, in particular, the median-based approach gives additional protection against outliers, as expected.
Published: 2019

15. Variables associated with functional improvement in patients with interstitial lung disease and myositis related antibodies: Results from a multicentric Latin American study

Author: Leandro Fassola, María Laura Alberti, Mayra Mejía, Francisco Paulin, Gabriel Carballo, Verónica Wolff, Matias Florenzano, Felipe Reyes, Ernesto Juarez Leon, Fabian Caro, Jorge Rojas Serrano, and Víctor Leiva V
Subjects: Univariate analysis, medicine.medical_specialty, business.industry, Interstitial lung disease, Retrospective cohort study, Antisynthetase syndrome, Sclerodactyly, respiratory system, medicine.disease, FEV1/FVC ratio, Internal medicine, medicine, medicine.symptom, business, Prospective cohort study, Myositis
Abstract: Introduction: Insterstitial lung disease (ILD) is a frequent manifestation in patients with myositis related antibodies (MRA) with impact in the evolution. Prognostic factors have been described but we don’t have information about the behaviour of this disease in Latin Amarica (LA). Methods: Multicentric retrospective study. We included all patients with MRA and ILD, with ≥3 months of follow up, evaluated in 3 specialized centers of LA between 2016 and 2018. We analized variables associated with functional improvement ≥10% in FVC% in an univariate logistic regression model model. Results: 121 patients,79% female with a mean (SD) age of 54 (12) years:62% from Chile, 22% from Argentina and 16% from Mexico. Clinical diagnosis was dematomyositis (DM) in 6%, polimyositis in 4%, amyopathic DM in 6%, antisynthetase syndrome in 55% and IPAF in 29%. The mean (SD) of FVC% was 67 (20.6). In HRCT: 83% had NSIP, 65% OP, and 11% UIP. The most frequent antibody was Jo-1 (23%). Variables that show association with functional improvement in the univariate analysis were: mechanic hands (OR 2.3; p=0.035), ILD from the beginning of the disease (OR=0.3;p=0.013), skin involvement (OR 2.02;p=0.078), sclerodactyly (OR 0.23;p=0.06), Jo-1 (OR 2.57,p Conclusion: This study shows variables associated with functional improvement in patients with ILD and MRA. Prospective studies are necessary to confirm this results.
Published: 2019
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16. Multicentric Latin American study of 211 patients with Interstitial lung disease and myositis related antibodies

Author: Laura Alberti, Jorge Rojas Serrano, Verónica Wolff, Fabian Caro, Francisco Paulin, Felipe Reyes, Víctor Leiva V, Ivette Buendia, Matias Florenzano, Mayra Mejía, Ernesto Juarez, and Leandro Fassola
Subjects: medicine.medical_specialty, Multivariate analysis, business.industry, Interstitial lung disease, respiratory system, medicine.disease, Connective tissue disease, respiratory tract diseases, Pulmonary function testing, FEV1/FVC ratio, Internal medicine, Cohort, medicine, Medical diagnosis, business, Myositis
Abstract: Introduction: ILD is a common manifestation of patients with myositis related antibodies (MRA). The aim of our study is to describe the clinical and radiological features of a group of patients with ILD and MRA, and their association with the initial pulmonary function (PF). Methods: Descriptive study of a multicentric cohort of patients evaluated between 2016-2018 in 3 ILD clinics in Argentina, Chile and Mexico. Descriptive statistics, univariate and multivariate analysis were performed. Results: 184 patients presented initial ILD diagnosis or simultaneous with connective tissue disease (CTD). The majority were women, with a mean age of 57±12 years. Anti-Synthetase (AS) antibodies were the most frequent (Jo-1, PL-12, PL-7). Main CTD diagnoses were AS syndrome and ILD with autoimmune features (IPAF). Main extra-thoracic symptoms, more frequent HRCT patterns and PFTs are described in Table 1. Worse PF was defined as FVC Conclusions: AS antibodies, NSIP and NSIP/OP patterns were the most frequent data, as reported in other cohorts. Worse PF could be related to the absence of extra-thoracic symptoms and “classic” antibodies of CTD, causing a delay in ILD diagnosis.
Published: 2019
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17. Recent developments of control charts and identification of big data sources and future trends of current research

Author: Aykroyd, RG, Leiva, V, and Ruggeri, F
Abstract: Control charts are one of the principal tools to monitor dynamic processes with the aim of rapid identification of changes in the behaviour of these processes. Such changes are usually associated with a move from an in-control condition to an out-of-control condition. The paper briefly reviews the historical origins and includes examples of recent developments, focussing on their use in fields different from the industrial applications in which they were initially derived and often employed. It also focusses on cases which depart from the commonly used Gaussian assumption and then considers potential effects of the big data revolution on future uses. A bibliometric analysis is also presented to identify distinct groups of research themes, including emerging and underdeveloped areas, which are hence potential topics for future research.
Published: 2019

18. Trasplante pulmonar en pacientes con fibrosis pulmonar. Experiencia del Instituto Nacional del Tórax

Author: Sepúlveda L., Claudia, Leiva V., Víctor, Linacre S., Virginia, Salinas F., Mauricio, Undurraga M., Pedro, López R., Jaqueline, Briceño V., Catalina, Gajardo Z., Francesca, Donoso G., Erika, and Melo T., Joel
Subjects: survival rate, Lung transplantation, Trasplante pulmonar, fibrosis pulmonar idiopática, tasa de supervivencia, estudios de seguimiento, idiopathic pulmonary fibrosis, follow-up studies
Abstract: Resumen La fibrosis pulmonar es una enfermedad progresiva y de mal pronóstico por lo que el trasplante pulmonar sigue siendo una opción para pacientes bien seleccionados. Objetivo: Evaluar resultados y sobrevida de pacientes con fibrosis pulmonar trasplantados a 8 años de inicio del programa de trasplante. Métodos: Estudio descriptivo de trasplantados de pulmón por fibrosis pulmonar desde agosto de 2010 a julio de 2018. Resultados: De un total de 76 trasplantes, un 68,4% han sido en pacientes con fibrosis pulmonar. La principal indicación fue fibrosis pulmonar idiopática (75%). El puntaje de priorización pulmonar (LAS) promedio fue de 53 y un 32% cumplía con criterios de urgencia. La edad promedio fue 55 años, y se usó técnica unipulmonar en un 98%. La principal complicación quirúrgica fue la estenosis bronquial (7,6%). De las complicaciones médicas precoces destacaron 26 episodios infecciosos y 6 rechazos celulares agudos. La principal complicación tardía fue la disfunción crónica de injerto. Los resultados funcionales promedio pre trasplante, a 1 y 3 años fueron: CVF de 49%, 71% y 70% del valor teórico. Un 40% ha fallecido en el período de seguimiento. La principal causa de mortalidad el primer año post trasplante fueron las infecciones. La sobrevida a 1, 3 y 5 años fue de 86,2%, 65,2% y 59,8% respectivamente. Conclusiones: En trasplante monopulmonar es una opción de tratamiento en estos pacientes, con una sobrevida de 59% a 5 años. Un tercio se trasplanta con criterios de urgencia, siendo las infecciones la principal complicación precoz y la disfunción crónica de injerto la complicación tardía más frecuente. Pulmonary fibrosis is a progressive disease with a bad prognosis. This situation makes rise lung transplant as a therapeutic option among carefully selected patients. Objective: Evaluate the results and survival rates of patients with pulmonary fibrosis that were transplanted through an 8 years period of follow-up, from the beginning of our transplant program. Methods: Descriptive study of the transplanted patients diagnosed with pulmonary fibrosis from august 2010 to july 2018. Results: Out of 76 transplants, 68.4% were due to pulmonary fibrosis, among these, the main diagnosis was idiopathic pulmonary fibrosis (75%). The average lung allocation score (LAS) was 53 and 32% of them had urgency criteria. Patients ’ age averaged 55 years-old and 98% of them underwent a single lung transplant. Early medical complications were seen in 26 patients with infectious episodes and 6 with acute rejection. The main late complication was chronic allograft dysfunction. The main surgical complication was bronchial stenosis (7.6%). In comparison to its base line reference values FVC means pre transplant and 1 and 3 years post-transplant were 49%, 70% and 71% respectively. A 40% of patients died during follow up period. Infections were the main cause of mortality during the first year. Survival rates at 1st 3rd and 5th year were 86,2%; 65.2% and 59.8% respectively. Conclusions: Single lung transplant is a therapeutic option for patients with interstitial lung disease with a 59% survival rate in 5 years, 1/3 fulfilled urgency criteria at the transplant time. The infections were the main early complication and chronic graft dysfunction was the main late complication.
Published: 2019

19. Trasplante pulmonar en pacientes con fibrosis pulmonar. Experiencia del Instituto Nacional del Tórax

Author: Erika Donoso G., Joel Melo T, Pedro Undurraga M., Catalina Briceño V., Claudia Sepúlveda L, Francesca Gajardo Z., Jaqueline López R., Mauricio Salinas F, Víctor Leiva V., and Virginia Linacre S
Subjects: medicine.medical_specialty, Lung, business.industry, Trasplante pulmonar, fibrosis pulmonar idiopática, medicine.medical_treatment, Interstitial lung disease, General Medicine, medicine.disease, estudios de seguimiento, Surgery, Idiopathic pulmonary fibrosis, FEV1/FVC ratio, medicine.anatomical_structure, Pulmonary fibrosis, medicine, Lung transplantation, tasa de supervivencia, business, Survival rate, Lung allocation score
Abstract: Pulmonary fibrosis is a progressive disease with a bad prognosis. This situation makes rise lung transplant as a therapeutic option among carefully selected patients. Objective: Evaluate the results and survival rates of patients with pulmonary fibrosis that were transplanted through an 8 years period of follow-up, from the beginning of our transplant program. Methods: Descriptive study of the transplanted patients diagnosed with pulmonary fibrosis from august 2010 to july 2018. Results: Out of 76 transplants, 68.4% were due to pulmonary fibrosis, among these, the main diagnosis was idiopathic pulmonary fibrosis (75%). The average lung allocation score (LAS) was 53 and 32% of them had urgency criteria. Patients’ age averaged 55 years-old and 98% of them underwent a single lung transplant. Early medical complications were seen in 26 patients with infectious episodes and 6 with acute rejection. The main late complication was chronic allograft dysfunction. The main surgical complication was bronchial stenosis (7.6%). In comparison to its base line reference values FVC means pre transplant and 1 and 3 years post-transplant were 49%, 70% and 71% respectively. A 40% of patients died during follow up period. Infections were the main cause of mortality during the first year. Survival rates at 1st 3rd and 5th year were 86,2%; 65.2% and 59.8% respectively. Conclusions: Single lung transplant is a therapeutic option for patients with interstitial lung disease with a 59% survival rate in 5 years, 1/3 fulfilled urgency criteria at the transplant time. The infections were the main early complication and chronic graft dysfunction was the main late complication.
Published: 2019

20. Variables associated with functional improvement in patients with interstitial lung disease and myositis related antibodies: Results from a multicentric Latin American study

Author: Alberti, Maria Laura, primary, Wolff, Veronica, additional, Reyes, Felipe, additional, Juarez Leon, Ernesto, additional, Leiva, V, additional, Carballo, Gabriel, additional, Rojas Serrano, Jorge, additional, Mejía, Mayra, additional, Fassola, Leandro, additional, Caro, Fabian, additional, Florenzano, Matias, additional, and Paulin, Francisco, additional
Published: 2019
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21. Trasplante pulmonar en pacientes con fibrosis pulmonar. Experiencia del Instituto Nacional del Tórax

Author: Sepúlveda L., Claudia, primary, Leiva V., Víctor, additional, Linacre S., Virginia, additional, Salinas F., Mauricio, additional, Undurraga M., Pedro, additional, López R., Jaqueline, additional, Briceño V., Catalina, additional, Gajardo Z., Francesca, additional, Donoso G., Erika, additional, and Melo T., Joel, additional
Published: 2019
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22. Birnbaum-Saunders spatial modelling and diagnostics applied to agricultural engineering data

Author: Garcia-Papani, F, Uribe-Opazo, MA, Leiva, V, and Aykroyd, RG
Abstract: Applications of statistical models to describe spatial dependence in geo-referenced data are widespread across many disciplines including the environmental sciences. Most of these application assume that the data follow a Gaussian distributions. However, in many of them the normality assumption, and even a more general assumption of symmetry, are not appropriate. In non-spatial applications, where the data are uni-modal and positively skewed, the Birnbaum-Saunders distribution has excelled. This paper proposes a spatial log-linear model based in the Birnbaum-Saunders distribution. Model parameters are estimated using the maximum likelihood method. Local influence diagnostics are derived to assess the sensitivity of the estimators to perturbations in the response variable. As illustration, the proposed model and its diagnostics are used to analyse a real-world agricultural data-set, where the spatial variability of phosphorus concentration in the soil is considered- which is extremely important for agricultural management.
Published: 2017

23. HEMIFACIAL MICROSOMIA. A LITERATURE REVIEW

Author: Véliz-M, Sebastián, Agurto -V, Pamela, and Leiva-V, Noemí
Subjects: craniofacial anomalies, asimetría facial, microsomía hemifacial, facial asymmetry, hemifacial microsomia, anomalías craneofaciales
Abstract: Hemifacial microsomia is the second congenital malformation in prevalence, after cleft lip and palate, and is described as a congenital alteration of the first and second branchial arches. As a condition of wide spectrum, its characteristics are expressed in many different ways and therefore treatments are usually individualized. This topic review discusses its etiology, classification, characteristics, and treatment with mandibular surgery. RESUMEN La microsomía hemifacial corresponde a la segunda malformación congénita en prevalencia, luego de la fisura labiopalatina, y se describe como una alteración congénita del primer y el segundo arcos branquiales. Al ser una entidad en espectro, presenta características de expresión variable y por tanto los tratamientos son acordes a su individualidad. En esta revisión de tema se analizan su etiología, clasificaciones, características y tratamiento quirúrgico mandibular.
Published: 2016

24. A model for risk assessment of a large earthquake with application to Chilean data

Author: Fierro, Ra��l and Leiva, V��ctor
Subjects: FOS: Mathematics, Statistics Theory (math.ST)
Abstract: We study the asymptotic distribution for the occurrence time of the next large earthquake, by knowing the last large seismic event occurred a long time ago. We prove that, under reasonable conditions, such a distribution is asymptotically exponential with a rate depending on the asymptotic slope of the cumulative intensity function corresponding to a non-homogeneous Poisson process. Moreover, as it is not possible to obtain an empirical cumulative distribution function for the waiting time of the next large earthquake, a random cumulative function based on existing data is stated. We demonstrate that analogous results to the theorems of Glivenko-Cantelli and Kolmogorov are satisfied by this random cumulative function. We conduct a simulation study for detecting in what scenario the approximate distribution of the studied elapsed time performs well. Finally, a real-world data analysis is carried out to illustrate the potential applications of our proposal.
Published: 2016
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25. Optimization of Contribution Margins in Food Services by Modeling Independent Component Demand

Author: ROJAS, FERNANDO, LEIVA, V\'ICTOR, WANKE, PETER, and MARCHANT, CAROLINA
Subjects: Data Analysis, distribuciones, inventario, demanda, Inventory, Demand, Distributions, análisis de datos
Abstract: We propose a methodology useful for food services, allowing contribution margins to be optimized. This is based on statistical tools, inventory models and financial indicators. To reduce the gap between theory and practice, we apply this methodology to the case study of a Chilean company to show its potential. We conduct a real-world demand data analysis for perishable and non-perishable products in the companys inventory assortment. Then, we use suitable inventory models to optimize the associated costs. We compare the proposed optimized system with the non-optimized system currently employed by the company, using financial indicators. Proponemos una metodología útil para servicios de alimentación, la que permite optimizar sus márgenes de contribución. Ésta se basa en herramientas estadísticas, modelos de inventario e indicadores financieros. Para reducir la brecha entre la teoría y la práctica, la aplicamos a un estudio de casos de una empresa chilena para mostrar su potencial. Realizamos un análisis de datos de demanda del mundo real para productos perecederos y no perecederos del surtido de inventario de esta empresa. Entonces, utilizamos modelos de inventarios adecuados para optimizar los costos asociados. Comparamos el sistema optimizado propuesto y el sistema no optimizado, que es actualmente empleado por la empresa, a través de indicadores financieros.
Published: 2015

26. Malformación linfática facial mixta: Caso clínico

Author: Carmen Gloria Morovic I, Claudia Vidal T, Sebastián Véliz M, and Noemí Leiva V
Subjects: Lymphatic Vessel Tumors, medicine.medical_specialty, tumor, medicine.diagnostic_test, malformación linfática, business.industry, Linfagioma, medicine.medical_treatment, Vascular malformation, medicine.disease, Surgery, Lesion, Lymphatic system, escleroterapia, Pediatrics, Perinatology and Child Health, Biopsy, Lymphangioma, Sclerotherapy, Medicine, vasos linfáticos, medicine.symptom, Head and neck, business
Abstract: mixed facial lymphatic malformation - Case report Lymphangiomas are a common form of vascular malformation of the lymphatic vessels, mainly in the head and neck region. Most cases are progressive evolution and require a multidisciplinary approach. Currently, the first therapeutic option is sclerotherapy, leaving surgery for the treatment of remaining lesions. objective: To present a case of facial lymphatic malformation (LM) treated with sclerotherapy, surgery and orthodontics in a 15-year follow up. Case report: A one-year-old female patient who consulted health professionals due to a progressive volume increase of the soft parts of her right cheek. The imaging study confirmed the diagnosis of microcystic lymphatic malformation. It was managed with OK-432 sclerotherapy and Bleomycin. At 2 years of age, the patient response was considered adequate; an intralesional submandibular surgical excision was then performed, with partial resection of the lesion. The biopsy confirmed the diagnosis of microcystic LM. Six months after, a re-resection was planned using the same approach and removing the remaining lesion, with favorable development until the age of 9 years when the patient required surgery and orthodontic management due to intraoral recurrence. No major developments until the age of 13 when a new orthodontic surgery and handling are planned to perform right oral commissure suspension. Conclusion: LM management by sclerotherapy, surgery, and orthodontics has shown the advantages of a multidisciplinary long-term treatment in this case. (Key words: Lymphangioma, lymphatic malformation, lymphatic vessel tumors, sclerotherapy). Rev Chil Pediatr 2014; 85 (6): 714-719
Published: 2014

27. Malformación linfática facial mixta: Caso clínico

Author: Morovic I, Carmen Gloria, Vidal T, Claudia, Leiva V, Noemí, and Véliz M, Sebastián
Subjects: tumor, Lymphangioma, lymphatic malformation, malformación linfática, Linfagioma, escleroterapia, sclerotherapy, vasos linfáticos, lymphatic vessel tumors
Abstract: El linfangioma corresponde a una malformación vascular de los vasos linfáticos, preferentemente de la región de cabeza y cuello. La mayoría de los casos son de evolución progresiva y requieren un manejo multidisciplinario. Actualmente la primera opción terapéutica es la esclerosis, reservando la cirugía para el tratamiento de las lesiones remanentes. Objetivo: Presentar un caso de malformación linfática (ML) facial, tratado con escleroterapia, cirugía y ortodoncia en un seguimiento a 15 años. Caso clínico: Paciente de sexo femenino que consulta al año de edad por aumento de volumen progresivo de partes blandas en su mejilla derecha. El estudio de imágenes confirmó el diagnóstico de Malformación Linfática microquística. Se manejó con esclerosis seriada con OK-432 y Bleomicina. A los 2 años de edad se consideró que la respuesta era adecuada, y se procedió a realizar extirpación quirúrgica intralesional submandibular, con resección parcial de la lesión. La biopsia confirmó el diagnóstico de ML microquística. Seis meses después se planificó nueva resección utilizando el mismo abordaje y extirpando lesión remanente, con evolución favorable hasta la edad de 9 años en que requiere cirugía y manejo por ortodoncia, por recidiva de lesión a nivel intraoral. Evolución favorable hasta que a la edad de 13 años se planifica nueva cirugía y manejo por ortodoncia para suspender la comisura bucal derecha. Conclusión: El manejo de la ML mediante escleroterapia, cirugía, y ortodoncia muestra en este caso las ventajas de un tratamiento multidisciplinarion a largo plazo. Lymphangiomas are a common form of vascular malformation of the lymphatic vessels, mainly in the head and neck region. Most cases are progressive evolution and require a multidisciplinary approach. Currently, the first therapeutic option is sclerotherapy, leaving surgery for the treatment of remaining lesions. Objective: To present a case of facial lymphatic malformation (LM) treated with sclerotherapy, surgery and orthodontics in a 15-year follow up. Case report: A one-year-old female patient who consulted health professionals due to a progressive volume increase of the soft parts of her right cheek. The imaging study confirmed the diagnosis of microcystic lymphatic malformation. It was managed with OK-432 sclerotherapy and Bleomycin. At 2 years of age, the patient response was considered adequate; an intralesional submandibular surgical excision was then performed, with partial resection of the lesion. The biopsy confirmed the diagnosis of microcystic LM. Six months after, a re-resection was planned using the same approach and removing the remaining lesion, with favorable development until the age of 9 years when the patient required surgery and orthodontic management due to intraoral recurrence. No major developments until the age of 13 when a new orthodontic surgery and handling are planned to perform right oral commissure suspension. Conclusion: LM management by sclerotherapy, surgery, and orthodontics has shown the advantages of a multidisciplinary long-term treatment in this case.
Published: 2014

28. [Mixed facial lymphatic malformation: case report]

Author: Carmen Gloria, Morovic I, Claudia, Vidal T, Noemí, Leiva V, and Sebastián, Véliz M
Subjects: Lymphatic Abnormalities, Adolescent, Lymphangioma, Infant, Orthodontics, Corrective, Picibanil, Bleomycin, Child, Preschool, Sclerotherapy, Humans, Female, Facial Neoplasms, Child, Follow-Up Studies
Abstract: Lymphangiomas are a common form of vascular malformation of the lymphatic vessels, mainly in the head and neck region. Most cases are progressive evolution and require a multidisciplinary approach. Currently, the first therapeutic option is sclerotherapy, leaving surgery for the treatment of remaining lesions.To present a case of facial lymphatic malformation (LM) treated with sclerotherapy, surgery and orthodontics in a 15-year follow up.A one-year-old female patient who consulted health professionals due to a progressive volume increase of the soft parts of her right cheek. The imaging study confirmed the diagnosis of microcystic lymphatic malformation. It was managed with OK-432 sclerotherapy and Bleomycin. At 2 years of age, the patient response was considered adequate; an intralesional submandibular surgical excision was then performed, with partial resection of the lesion. The biopsy confirmed the diagnosis of microcystic LM. Six months after, a re-resection was planned using the same approach and removing the remaining lesion, with favorable development until the age of 9 years when the patient required surgery and orthodontic management due to intraoral recurrence. No major developments until the age of 13 when a new orthodontic surgery and handling are planned to perform right oral commissure suspension.LM management by sclerotherapy, surgery, and orthodontics has shown the advantages of a multidisciplinary long-term treatment in this case.
Published: 2014

29. On an extreme value version of the Birnbaum-Saunders distribution

Author: Ferreira, M., M. Ivette Gomes, Leiva, V., and Universidade do Minho
Subjects: Likelihood method, R computer language, Science & Technology, Domain of attraction, Extreme data
Abstract: The Birnbaum-Saunders model is a life distribution originated from a problem of material fatigue that has been largely studied and applied in recent decades. A random variable following the Birnbaum-Saunders distribution can be stochastically represented by another random variable used as basis. Then, the Birnbaum-Saunders model can be generalized by switching the distribution of the basis variable using diverse arguments allowing to construct more general classes of models. Extreme value distributions are useful to determinate the probability of events that are more extreme than any that have already been observed. In this paper, we propose, characterize, implement and apply an extreme value version of the Birnbaum-Saunders distribution., Fundação para a Ciência e a Tecnologia (FCT) - Pluriannual Funding Program, PTDC/FEDER, PEst-OE/MAT/UI0006/2011, FCT/OE, POCI 2010, FONDECYT (Fondo Nacional de Desarrollo Cient co y Tecnol ogico - Chile)
Published: 2012

30. Can We Improve The Inhalation Techniques In Patient With Copd?. Tiepoc Study

Author: Barnestein-Fonseca, P, primary, Leiva-Fernández, F, additional, Vazquez-Alarcon, R, additional, Aguiar-Leiva, V, additional, Lobnig-Becerra, M, additional, and Leiva-Fernández, J, additional
Published: 2015
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31. Superior vena cava syndrome associated with a right-to-left extracardiac shunt

Author: Garcia-Gonzalez, P., primary, Albiach-Montanana, C., additional, Garcia-Garcia, P., additional, Ballester-Leiva, V., additional, and Quiles-Teodoro, C., additional
Published: 2015
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32. ¿Qué está haciendo el científico? : análisis de la actividad científica descrita por alumnos secundarios chilenos de 11° y 12° grado de distintos tipos de establecimientos educacionales

Author: Bravo González, P., González Weil, C., López Leiva, V., and Martínez Larrain, M.
Abstract: Con el objetivo de conocer la representación de estudiantes secundarios chilenos de distintos tipos de establecimientos acerca de los científicos y la actividad que estos realizan, se aplicó a una muestra de 438 estudiantes de 11° y 12° grado el Draw-a-Scientist-Test, en la versión de Türkmen (2008). En ella, los alumnos son invitados a describir de manera escrita la actividad que realiza el científico que dibujaron. Dichas narraciones fueron analizadas en función de los procesos científicos relatados, propósitos y consecuencia de la actividad descrita. Los procesos científicos más frecuentemente mencionados fueron “experimentar” y “observar”. “Formular modelos”, proceso fundamental en la actividad científica, prácticamente no fue mencionado. En relación a propósitos y consecuencias la mayoría de los alumnos tiene una imagen positiva de la actividad científica.
Published: 2009

33. Científicos jóvenes y sonrientes : la imagen de científico de los estudiantes chilenos de 11° y 12° grado en diferentes contextos escolares

Author: González Weil, C, Lopez Leiva, V., Bravo González, Paulina, and Castillo Fierro, P.
Abstract: Con el objetivo de conocer la imagen que estudiantes secundarios chilenos de diferentes contextos escolares (privado, público, subvencionado) tienen acerca de los científicos, es que se aplicó a una muestra de 438 estudiantes de 11. y 12. grado de la Región de Valparaíso (Chile) el Draw a Scientist Test (DAST; Chambers, 1983). Para el análisis se utilizaron criterios propuestos en la literatura, además de criterios levantados por el equipo de investigación. Los resultados muestran una imagen altamente estereotipada de científico (varones de raza blanca que trabajan solos y dentro de un laboratorio, usan delantal y gafas), además de algunos indicadores alternativos, como científicos jóvenes y sonrientes. Contrario a lo que describe la literatura, no se encontraron diferencias significativas entre tipos de establecimiento, salvo en algunos indicadores alternativos.
Published: 2009

34. Malformación linfática facial mixta: Caso clínico

Author: Morovic I, Carmen Gloria, primary, Vidal T, Claudia, additional, Leiva V, Noemí, additional, and Véliz M, Sebastián, additional
Published: 2014
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35. Inhalation Technique Evolution After Training in Copd. The Role of the Device

Author: Barnestein-Fonseca, P., primary, Vazquez-Alarcon, R., additional, Leiva-Fernandez, F., additional, Aguiar-Leiva, V., additional, Lobnig-Becerra, M., additional, and Leiva-Fernandez, J., additional
Published: 2014
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36. Tecepoc II Study. How to Improve the Inhalation Techniques in Patient with Copd. The Influence of Preferences

Author: Barnestein-Fonseca, P., primary, Vazquez-Alarcon, R., additional, Leiva-Fernandez, F., additional, Aguiar-Leiva, V., additional, Lobnig-Becerra, M., additional, and Leiva-Fernandez, J., additional
Published: 2014
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37. A Non-Central Version of the Birnbaum-Saunders Distribution for Reliability Analysis

Author: Guiraud, P., primary, Leiva, V., additional, and Fierro, R., additional
Published: 2009
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38. OA10 Le CT multicoupe dans l’etude de la morphometrie du pedicule lombaire

Author: Ballester Leiva, V., primary, Martinez Almagro, A., additional, Pérez Molté, J., additional, Mata Escolano, F., additional, and Quiles Teodoro, C., additional
Published: 2005
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39. Platelet rich plasma in bone healing after intraoral vertical ramus osteotomy

Author: Valencia, E., primary, Ibaceta, G., additional, Jaramillo, J., additional, Naranjo, R., additional, and Leiva, V., additional
Published: 2005
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40. PRS67 - Tecepoc II Study. How to Improve the Inhalation Techniques in Patient with Copd. The Influence of Preferences

Author: Barnestein-Fonseca, P., Vazquez-Alarcon, R., Leiva-Fernandez, F., Aguiar-Leiva, V., Lobnig-Becerra, M., and Leiva-Fernandez, J.
Published: 2014
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41. PRS68 - Inhalation Technique Evolution After Training in Copd. The Role of the Device

Author: Barnestein-Fonseca, P., Vazquez-Alarcon, R., Leiva-Fernandez, F., Aguiar-Leiva, V., Lobnig-Becerra, M., and Leiva-Fernandez, J.
Published: 2014
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42. HEMIFACIAL MICROSOMIA. A LITERATURE REVIEW

Author: Sebastián Véliz-M, Pamela Agurto -V, and Noemí Leiva-V
Subjects: lcsh:RK1-715, craniofacial anomalies, lcsh:Dentistry, facial asymmetry, hemifacial microsomia
Abstract: Hemifacial microsomia is the second congenital malformation in prevalence, after cleft lip and palate, and is described as a congenital alteration of the first and second branchial arches. As a condition of wide spectrum, its characteristics are expressed in many different ways and therefore treatments are usually individualized. This topic review discusses its etiology, classification, characteristics, and treatment with mandibular surgery.

43. PRS10 - Can We Improve The Inhalation Techniques In Patient With Copd?. Tiepoc Study

Author: Barnestein-Fonseca, P, Leiva-Fernández, F, Vazquez-Alarcon, R, Aguiar-Leiva, V, Lobnig-Becerra, M, and Leiva-Fernández, J
Published: 2015
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44. INTEGRATION METHODS OF ODDS RATIO BASED ON META-ANALYSIS USING FIXED AND RANDOM EFFECT MODELS USEFUL IN PUBLIC HEALTH MÉTODOS DE INTEGRACIÓN DE ODDS RATIO BASADOS EN META-ANÁLISIS USANDO MODELOS DE EFECTOS FIJOS Y ALEATORIOS ÚTILES EN SALUD PÚBLICA

Author: Catalán Mónica, Galindo M. Purificación, Martín Javier, and Leiva Víctor
Subjects: Biostatistics, Clinical trials, Effect size, Medicine, Statistics, HA1-4737
Abstract: Meta-analysis integrates information from different studies to generate a common response to a determined problem. In the literature, we find several integration methods of results, with the integration method of levels of probability being the more basic and, with a greater complexity, the integration method of the effect size, which uses fixed and random effect models. In this study, we compare the results of two estimation methods of the effect size based on meta-analysis using fixed and random effect models. The measure of the effect size considered here is the odds ratio, due to this measure is frequently used in systematic reviews of several topics of interest in public health, such as heart diseases, laparoscopic colectomy, Parkinson disease, tobacco addiction and uterine cervical cancer. Conclusions of this work indicate the applicability conditions of the analyzed estimators of the odds ratio in function of the size of the population effect, of the variability among studies, of the size of the meta-analysis and of the sample sizes of such studies.Un meta-análisis integra información proveniente de varios estudios con el propósito de generar un resultado común para un problema determinado. En la literatura nos encontramos con varios métodos de integración de resultados, siendo el más básico el método de integración de niveles de probabilidad y, con una complejidad mayor, el método de integración del tamaño del efecto. Este último hace uso de modelos de efectos fijos y aleatorios. En este estudio, comparamos los resultados de dos métodos de estimación del tamaño del efecto basados en un meta-análisis usando modelos de efectos fijos y aleatorios. La medida del tamaño del efecto considerada en este estudio es el odds ratio, debido a que esta medida es usada frecuentemente en revisiones sistemáticas de varios temas de interés en salud pública, tales como cáncer cérvico uterino, colecistectomía laparoscópica, enfermedades cardiovasculares, enfermedad de Parkinson y tabaquismo. Las conclusiones de este trabajo indican las condiciones de aplicabilidad de los estimadores analizados del odds ratio en función de la magnitud del efecto poblacional, de la variabilidad entre estudios, del tamaño del meta-análisis y de los tamaños muestrales de tales estudios.
Published: 2012

45. ON THE STUDENT-T MIXTURE INVERSE GAUSSIAN MODEL WITH AN APPLICATION TO PROTEIN PRODUCTION SOBRE EL MODELO GAUSSIANO INVERSO MEZCLADO T-STUDENT Y UNA APLICACIÓN A PRODUCCIÓN DE PROTEÍNAS

Author: Sanhueza Antonio, Leiva Víctor, and López-Kleine Liliana
Subjects: Distribution mixture, Likelihood methods, Length-biased distributions, R computer language, Statistics, HA1-4737
Abstract: In this article, we introduce a mixture inverse Gaussian (MIG) model based on the Student-t distribution and apply it to bacterium-based protein production for food industry. This model is mainly useful to describe data that follow positively skewed distributions and accommodate atypical observations in a better way than its classical version. Specifically, we present a characterization of the MIG-t distribution. In addition, we carry out a hazard analysis of this distribution centered mainly on its hazard rate. Furthermore, we discuss the maximum likelihood method, which produces–in this case–robust parameter estimates. Moreover, to evaluate the potential influence of atypical observations, we produce a diagnostic analysis for the model. Finally, we apply the obtained results to novel bacterium-based protein production data and statistically compare two types of protein producers using the likelihood ratio test based on the MIG-t model as an alternative methodology to the procedures available until now. This fact is very important, since the evaluation of protein production using both constructions allows practitioners to choose the most productive one before the bacterial culture is scaled to an industrial level.En este artículo, introducimos un modelo Gaussiano inverso (MIG) mezclado basado en la distribución t-Student y lo aplicamos a la producción de proteínas basada en bacterias para la industria de alimentos. Este modelo es especialmente útil para describir datos que siguen una distribución con sesgo positivo ya que permite acomodar observaciones atípicas de mejor forma que su versión clásica. Específicamente, presentamos una caracterización de la distribución MIG-t y realizamos un análisis de confiabilidad de esta distribución centrado principalmente en la tasa de fallas. También, discutimos el método de verosimilitud máxima, el cual proporciona en este caso estimaciones robustas de los parámetros del modelo. Con el fin de evaluar la influencia potencial de observaciones atípicas, proponemos un análisis de diagnóstico para la distribución. Finalmente, aplicamos los resultados obtenidos al análisis de datos nuevos de producción de proteína basada en bacterias utilizada en la industria de alimentos y comparamos estadísticamente dos tipos de bacterias productoras usando la prueba de razón de verosimilitudes basada en el modelo MIG-t como una metodología alternativa a los procedimientos disponibles a la fecha. Este punto es muy importante, ya que la evaluación de producción de proteínas usando dos construcciones distintas permite a los investigadores escoger el tipo más productivo antes de proceder al cultivo industrial a gran escala.
Published: 2011

46. NEW CONTROL CHARTS BASED ON THE BIRNBAUM-SAUNDERS DISTRIBUTION AND THEIR IMPLEMENTATION NUEVAS CARTAS DE CONTROL BASADAS EN LA DISTRIBUCIÓN BIRNBAUM-SAUNDERS Y SU IMPLEMENTACIÓN

Author: Leiva Víctor, Soto Gerson, Cabrera Enrique, and Cabrera Guillermo
Subjects: Lifetime data, Likelihood methods, R computer language, Statistics, HA1-4737
Abstract: The Birnbaum-Saunders (BS) model is a life distribution with interesting properties and applications in several fields. This has transformed the BS model in an important research focus in recent decades. However, the sum of BS (BSsum) independent random variables does not follow a BS distribution. By means of the BSsum distribution, we can monitor the lifetime of products subject to failures using a quality control chart. Classic procedures for control charts assume normality in the distribution of the data. Nevertheless, one of the main characteristics of the lifetimes is that them generally follow asymmetric distributions. Therefore, if we want to monitor these lifetimes, we must consider control charts for asymmetric distributions, such as it is the case of the BS distribution. The monitoring of the lifetimes is carried out generally by the accumulated lifetime or the lifetime average until than a number of failures occurs. Thus, by using the BSsum distribution, we develop, implement and apply a new methodology for control charts based on the BS distribution.El modelo Birnbaum-Saunders (BS) es una distribución de vida que tiene propiedades interesantes y aplicaciones en varias áreas. Esto la ha convertido en un foco de investigación importante en el último tiempo. Sin embargo, la suma de variables aleatorias independientes BS (BSsum) no sigue una distribución BS. A través de la distribución BSsum, se pueden monitorear los tiempos de vida de productos expuestos a fallas mediante una carta de control de calidad. Los procedimientos clásicos de cartas de control suponen normalidad en la distribución de los datos. No obstante, una de las características principales de los tiempos de vida es que éstos generalmente siguen distribuciones asimétricas. Por tanto, si se quiere monitorear estos tiempos, se deben considerar cartas de control para distribuciones asimétricas, como es el caso de la distribución BS. El monitoreo de los tiempos de vida se realiza generalmente mediante el tiempo acumulado o el tiempo promedio hasta la ocurrencia de cierto número de fallas. Entonces, usando la distribución BSsum, desarrollamos, implementamos y aplicamos una nueva metodología para cartas de control basada en la distribución BS.
Published: 2011

47. Fatigue statistical distributions useful for modeling diameter and mortality of trees | Distribuciones estadísticas de fatiga útiles para modelar diámetro y mortalidad de árboles

Author: Leiva, V., Ponce, M. G., Carolina Marchant, and Bustos, O.

48. PRS67 Tecepoc II Study. How to Improve the Inhalation Techniques in Patient with Copd. The Influence of Preferences

Author: Barnestein-Fonseca, P., Vazquez-Alarcon, R., Leiva-Fernandez, F., Aguiar-Leiva, V., Lobnig-Becerra, M., and Leiva-Fernandez, J.
Full Text: View/download PDF

49. PRS68 Inhalation Technique Evolution After Training in Copd. The Role of the Device

Author: Barnestein-Fonseca, P., Vazquez-Alarcon, R., Leiva-Fernandez, F., Aguiar-Leiva, V., Lobnig-Becerra, M., and Leiva-Fernandez, J.
Full Text: View/download PDF

50. PRS10 Can We Improve The Inhalation Techniques In Patient With Copd?. Tiepoc Study

Author: Barnestein-Fonseca, P, Leiva-Fernández, F, Vazquez-Alarcon, R, Aguiar-Leiva, V, Lobnig-Becerra, M, and Leiva-Fernández, J
Full Text: View/download PDF

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