Author: "Jean-Pierre Fauvel" - Searchworks@Jio Institute Digital Library Search Results

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1. Management of patients with hypertension and chronic kidney disease referred to Hypertension Excellence Centres among 27 countries. On behalf of the European Society of Hypertension Working Group on Hypertension and the Kidney

Author: Jean-Michel Halimi, Pantelis Sarafidis, Michel Azizi, Grzegorz Bilo, Thilo Burkard, Michael Bursztyn, Miguel Camafort, Neil Chapman, Santina Cottone, Tine de Backer, Jaap Deinum, Philippe Delmotte, Maria Dorobantu, Michalis Doumas, Rainer Dusing, Béatrice Duly-Bouhanick, Jean-Pierre Fauvel, Pierre Fesler, Zbigniew Gaciong, Eugenia Gkaliagkousi, Daniel Gordin, Guido Grassi, Charalampos Grassos, Dominique Guerrot, Justine Huart, Raffaele Izzo, Fernando Jaén Águila, Zoltán Járai, Thomas Kahan, Ilkka Kantola, Eva Kociánová, FlorianP. Limbourg, Marilucy Lopez-Sublet, Francesca Mallamaci, Athanasios Manolis, Maria Marketou, Gert Mayer, Alberto Mazza, IainM. MacIntyre, Jean-Jacques Mourad, Maria Lorenza Muiesan, Edgar Nasr, Peter Nilsson, Anna Oliveras, Olivier Ormezzano, Vitor Paixão-Dias, Ioannis Papadakis, Dimitris Papadopoulos, Sabine Perl, Jorge Polónia, Roberto Pontremoli, Giacomo Pucci, Nicolás Roberto Robles, Sébastien Rubin, Luis Miguel Ruilope, Lars Christian Rump, Sahrai Saeed, Elias Sanidas, Riccardo Sarzani, Roland Schmieder, François Silhol, Sekib Sokolovic, Marit Solbu, Miroslav Soucek, George Stergiou, Isabella Sudano, Ramzi Tabbalat, Istemihan Tengiz, Helen Triantafyllidi, Konstontinos Tsioufis, Jan Václavík, Markus van der Giet, Patricia Van der Niepen, Franco Veglio, RetoM. Venzin, Margus Viigimaa, Thomas Weber, Jiri Widimsky, Gregoire Wuerzner, Parounak Zelveian, Pantelis Zebekakis, Stephan Lueders, Alexandre Persu, Reinhold Kreutz, and Liffert Vogt
Subjects: Chronic kidney disease, hypertension, management, RAS blockers, hyperkalaemia, SGLT2 inhibitors, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Objective Real-life management of patients with hypertension and chronic kidney disease (CKD) among European Society of Hypertension Excellence Centres (ESH-ECs) is unclear : we aimed to investigate it. Methods A survey was conducted in 2023. The questionnaire contained 64 questions asking ESH-ECs representatives to estimate how patients with CKD are managed. Results Overall, 88 ESH-ECS representatives from 27 countries participated. According to the responders, renin-angiotensin system (RAS) blockers, calcium-channel blockers and thiazides were often added when these medications were lacking in CKD patients, but physicians were more prone to initiate RAS blockers (90% [interquartile range: 70–95%]) than MRA (20% [10–30%]), SGLT2i (30% [20–50%]) or (GLP1-RA (10% [5–15%]). Despite treatment optimisation, 30% of responders indicated that hypertension remained uncontrolled (30% (15–40%) vs 18% [10%–25%]) in CKD and CKD patients, respectively). Hyperkalemia was the most frequent barrier to initiate RAS blockers, and dosage reduction was considered in 45% of responders when kalaemia was 5.5–5.9 mmol/L. Conclusions RAS blockers are initiated in most ESH-ECS in CKD patients, but MRA and SGLT2i initiations are less frequent. Hyperkalemia was the main barrier for initiation or adequate dosing of RAS blockade, and RAS blockers’ dosage reduction was the usual management.
Published: 2024
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2. Patients’ outcome with polycystic kidney disease firstly treated with peritoneal dialysis. Experience of our home dialysis unit since 1997.

Author: jean-michel Poux, Carlos Cardozo, Laville Maurice, Anne Jolivot, and Jean-Pierre Fauvel
Subjects: peritoneal dialysis, peritonitis, renal transplantation, polycystic kidney disease, Internal medicine, RC31-1245
Abstract: We extracted data from the French Speaking Registry of Peritoneal Dialysis and retrospectively studied peritonitis and the outcome of 30 patients with polycystic kidney disease firstly treated with peritoneal dialysis within our dialysis unit since 1997. There were 15 men and 15 women with a mean age of 54 years. Eighty-five per-cent of the patients had hepatic impairment. Ten patients did not suffer from comorbidities. Charlson comorbidity index was greater than or equal to 4 in five patients. Most of the patients was treated with automated peritoneal dialysis during the night. Only one patient was not autonomous with peritoneal dialysis. The whole medical monitoring lasted 836 months, representing an average of 28 months per patient. Eleven patients had a total of 24 peritonitis, 9 with gram negative bacillus. The incidence of peritonitis was one episode every 35 months-patient. Peritonitis was responsible for sudden admission in hemodialysis unit in two cases and death in one case. Fifteen patients (50%) benefited from renal transplantation. Only one patient had to undergo nephrectomy prior to renal transplantation. Seven patients were admitted to hemodialysis unit (the median duration time on peritoneal dialysis was 36 months). Four patients died. Four patients are currently treated with peritoneal dialysis. In conclusion, this retrospective study points out that peritoneal dialysis, especially automated peritoneal dialysis, is a good option for patients with polycystic kidney disease necessitating dialysis.
Published: 2021
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3. Kidney and Cardiovascular Effects of Canagliflozin According to Age and Sex

Author: Tae Won Yi, Brendan Smyth, Gian Luca Di Tanna, Clare Arnott, Kathryn Cardoza, Amy Kang, Carol Pollock, Rajiv Agarwal, George Bakris, David M. Charytan, Dick de Zeeuw, Hiddo J.L. Heerspink, Bruce Neal, David C. Wheeler, Christopher P. Cannon, Hong Zhang, Bernard Zinman, Vlado Perkovic, Adeera Levin, Kenneth W. Mahaffey, Meg Jardine, Barry M. Brenner, Tom Greene, Meg J. Jardine, Gary Meininger, Nicole Li, Inna Kolesnyk, Diego Aizenberg, Roberto Pecoits-Filho, David Cherney, Gregorio Obrador, Glenn Chertow, Tara Chang, Carmel Hawley, Linong Ji, Takashi Wada, Vivekanand Jha, Soo Kun Lim, Mary Anne Lim-Abrahan, Florence Santos, Dong-Wan Chae, Shang-Jyh Hwang, Evgueniy Vazelov, Ivan Rychlík, Samy Hadjadj, Vera Krane, László Rosivall, Luca De Nicola, Alexander Dreval, Michał Nowicki, Adalbert Schiller, Larry Distiller, Jose L. Górriz, Mykola Kolesnyk, null David, C. Wheeler, Rodolfo Andres Ahuad Guerrero, Juan Pablo Albisu, Andres Alvarisqueta, Ines Bartolacci, Mario Alberto Berli, Anselmo Bordonava, Pedro Calella, Maria Cecilia Cantero, Luis Rodolfo Cartasegna, Esteban Cercos, Gabriela Cecilia Coloma, Hugo Colombo, Victor Commendatore, Jesus Cuadrado, Carlos Alberto Cuneo, Ana Maria Cusumano, Walter Guillermo Douthat, Ricardo Dario Dran, Eduardo Farias, Maria Florencia Fernandez, Hernan Finkelstein, Guillermo Fragale, Jose Osvaldo Fretes, Nestor Horacio Garcia, Anibal Gastaldi, Elizabeth Gelersztein, Jorge Archibaldo Glenny, Joaquin Pablo Gonzalez, Patricia del Carmen Gonzalez Colaso, Claudia Goycoa, Gustavo Cristian Greloni, Adrian Guinsburg, Sonia Hermida, Luis Isaias Juncos, Maria Isabel Klyver, Florencia Kraft, Fernando Krynski, Paulina Virginia Lanchiotti, Ricardo Alfonso Leon de la Fuente, Nora Marchetta, Pablo Mele, Silvia Nicolai, Pablo Antonio Novoa, Silvia Ines Orio, Fabian Otreras, Alejandra Oviedo, Pablo Raffaele, Jorge Hector Resk, Lucas Rista, Nelson Rodriguez Papini, Jorgelina Sala, Juan Carlos Santos, Lilia Beatriz Schiavi, Horacio Sessa, Tomas Smith Casabella, Maria Rosa Ulla, Maria Valdez, Augusto Vallejos, Adriana Villarino, Virginia Esther Visco, Alfredo Wassermann, Cesar Javier Zaidman, Ngai Wah Cheung, Carolyn Droste, Ian Fraser, David Johnson, Peak Mann Mah, Kathy Nicholls, David Packham, Joseph Proietto, Anthony Roberts, Simon Roger, Venessa Tsang, Roberto Abrão Raduan, Fernando Augusto Alves da Costa, Celso Amodeo, Luiz Alberto Andreotti Turatti, Rachel Bregman, Fernanda Cristina Camelo Sanches, Luis Henrique Canani, Antônio Roberto Chacra, João Lindolfo Cunha Borges, Sérgio Alberto Cunha Vêncio, Roberto Jorge da Silva Franco, Domingos d’Avila, Evandro de Souza Portes, Pedro de Souza, Luciane Mônica Deboni, Fadlo Fraige Filho, Bruno Geloneze Neto, Marcus Gomes, Suely Keiko Kohara, Elizete Keitel, Jose Francisco Kerr Saraiva, Hugo Roberto Kurtz Lisboa, Fabiana Loss de Carvalho Contieri, Rosângela Milagres, Renan Montenegro Junior, Claudia Moreira de Brito, Miguel Nasser Hissa, Ângela Regina Nazario Sabbag, Irene Noronha, Daniel Panarotto, Roberto Pecoits Filho, Márcio Antônio Pereira, Wladmir Saporito, Antonio Scafuto Scotton, Tiago Schuch, Roberto Simões de Almeida, Cássio Slompo Ramos, João Soares Felício, Fernando Thomé, Jean Carlo Tibes Hachmann, Sérgio Yamada, Cesar Yoiti Hayashida, Tarissa Beatrice Zanata Petry, Maria Teresa Zanella, Viktoria Andreeva, Angelina Angelova, Stefan Dimitrov, Veselka Genadieva, Gabriela Genova-Hristova, Kiril Hristozov, Zdravko Kamenov, Atanas Koundurdjiev, Lachezar Lozanov, Viktor Margaritov, Boyan Nonchev, Rangel Rangelov, Alexander Shinkov, Margarita Temelkova, Ekaterina Velichkova, Andrian Yakov, Naresh Aggarwal, Ronnie Aronson, Harpreet Bajaj, Guy Chouinard, James Conway, Serge Cournoyer, Gerald DaRoza, Sacha De Serres, François Dubé, Ronald Goldenberg, Anil Gupta, Milan Gupta, Sam Henein, Hasnain Khandwala, Lawrence Leiter, François Madore, Alan McMahon, Norman Muirhead, Vincent Pichette, Remi Rabasa-Lhoret, Andrew Steele, Navdeep Tangri, Ali Torshizi, Vincent Woo, Nadia Zalunardo, María Alicia Fernández Montenegro, Juan Gonzalo Godoy Jorquera, Marcelo Medina Fariña, Victor Saavedra Gajardo, Margarita Vejar, Nan Chen, Qinkai Chen, Shenglian Gan, Yaozhong Kong, Detian Li, Wenge Li, Xuemei Li, Hongli Lin, Jian Liu, Weiping Lu, Hong Mao, Yan Ren, Weihong Song, Jiao Sun, Lin Sun, Ping Tu, Guixia Wang, Jinkui Yang, Aiping Yin, Xueqing Yu, Minghui Zhao, Hongguang Zheng, Jose Luis Accini Mendoza, Edgar Arcos, Jorge Avendano, Jorge Ernesto Andres Diaz Ruiz, Luis Hernando Garcia Ortiz, Alexander Gonzalez, Eric Hernandez Triana, Juan Diego Higuera, Natalia Malaver, Dora Inés Molina de Salazar, Ricardo Rosero, Monica Alexandra Terront Lozano, Luis Valderrama Cometa, Alex Valenzuela, Ruben Dario Vargas Alonso, Ivan Villegas, Hernan Yupanqui, Dagmar Bartaskova, Petr Barton, Jana Belobradkova, Lenka Dohnalova, Tomas Drasnar, Richard Ferkl, Katarina Halciakova, Vera Klokocnikova, Richard Kovar, Jiri Lastuvka, Martin Lukac, Satu Pesickova, Karel Peterka, Jiri Pumprla, Ivan Rychlik, Frantisek Saudek, Vladimir Tesar, Martin Valis, Pavel Weiner, Stanislav Zemek, Eric Alamartine, Sophie Borot, Bertrand Cariou, Bertrand Dussol, Jean-Pierre Fauvel, Pierre Gourdy, Alexandre Klein, Yannick Le Meur, Alfred Penfornis, Ronan Roussel, Pierre-Jean Saulnier, Eric Thervet, Philippe Zaoui, Volker Burst, Markus Faghih, Grit Faulmann, Hermann Haller, Reinhold Jerwan-Keim, Stephan Maxeiner, Björn Paschen, Georg Plassmann, Ludger Rose, Ronaldo Arturo Gonzalez Orellana, Franklin Paul Haase, Juan Pablo Moreira Diaz, Luis Alberto Ramirez Roca, Jose Antonio Sánchez Arenales, José Vicente Sanchez Polo, Erick Turcios Juarez, Gyongyi Csecsei, Botond Csiky, Peter Danos, Laszlo Deak, Mihaly Dudas, Eleonora Harcsa, Katalin Keltai, Sandor Keresztesi, Krisztian Kiss, Laszlo Konyves, Lajos Major, Margit Mileder, Marta Molnar, Janos Mucsi, Tamas Oroszlan, Ivan Ory, Gyorgy Paragh, Eva Peterfai, Gizella Petro, Katalin Revesz, Robert Takacs, Sandor Vangel, Szilard Vasas, Marianna Zsom, Oomman Abraham, Raju Sree Bhushan, Dewan Deepak, Fernando M. Edwin, Natarajan Gopalakrishnan, Noble Gracious, Alva Hansraj, Dinesh Jain, C.B. Keshavamurthy, Dinesh Khullar, Sahay Manisha, Jayameena Peringat, Narayan Prasad, Rao K. Satyanarayana, Reddy Sreedhar, Melemadathil Sreelatha, Bhimavarapu Sudhakar, Ramesh Chandra Vyasam, Riccardo Bonadonna, Pietro Castellino, Antonio Ceriello, Luca Chiovato, Salvatore De Cosmo, Giuseppe Derosa, Alberto Di Carlo, Graziano Di Cianni, Giovanni Frascà, Giorgio Fuiano, Giovanni Gambaro, Giacomo Garibotto, Carlo Giorda, Fabio Malberti, Marcora Mandreoli, Edoardo Mannucci, Emanuela Orsi, Piermarco Piatti, Domenico Santoro, Ferdinando Carlo Sasso, Gaetano Serviddio, Andrea Stella, Roberto Trevisan, Anna Maria Veronelli, Luca Zanoli, Hitoshi Akiyama, Hiromi Aoki, Akimichi Asano, Tadashi Iitsuka, Shizuo Kajiyama, Susumu Kashine, Toshio Kawada, Takamoto Kodera, Hiroshi Kono, Kazunori Koyama, Yasuro Kumeda, Shozo Miyauchi, Kazuyuki Mizuyama, Tetsuji Niiya, Hiroko Oishi, Satoshi Ota, Terue Sakakibara, Masahiko Takai, Osamu Tomonaga, Mitsuru Tsujimoto, Masakiyo Wakasugi, Yasushi Wakida, Takayuki Watanabe, Masayo Yamada, Kazuhiro Yanagida, Toshihiko Yanase, Wataru Yumita, Egle Gaupsiene, Dalia Kozloviene, Antanas Navickas, Egle Urbanaviciene, Rohana Abdul Ghani, Khalid Abdul Kadir, Norsiah Ali, Mohd Daud Che Yusof, Chye Lee Gan, Mastura Ismail, Wei Yen Kong, Swee Win Lam, Li Yuan Lee, Chek Loong Loh, Anita Bhajan Manocha, Kee Sing Ng, Nik Nur Fatnoon Nik Ahmad, Vanassa Ratnasingam, Saiful Shahrizal Bin Shudim, Paranthaman Vengadasalam, Luis David Abraira Munoz, Melchor Alpizar Salazar, Juan Baas Cruz, Mario Burgos Soto, Jose Chevaile Ramos, Alfredo Chew Wong, Jose Ricardo Correa Rotter, Tonatiu Diaz Escalante, Favio Edmundo Enriquez Sosa, Fernando Flores Lozano, Luis Fernando Flota Cervera, Paul Frenk Baron, Cecilia Garcia Ballesteros, Jose David Gomez Rangel, Luis Enrique Herrera Jimenez, Sergio Saul Irizar Santana, Fernando Jimenez Flores, Hugo Laviada Molina, Rosa Isela Luna Ceballos, Belia Martin del Campo Blanco, Guadalupe Morales Franco, Oscar Tarsicio Moreno Loza, Cynthia Mustieles Rocha, Gregorio Obrador Vera, Ricardo Orozco Castellanos, Juan Peralta Calcaneo, Miguel Angel Reyes Rosano, Hiromi Rodriguez Pattzi, Juan Rosas Guzman, Isabel Erika Rucker Joerg, Sandra Berenice Saavedra Sanchez, Jose Hector Sanchez Mijangos, Pablo Serrano Sanson, Juan Alfredo Tamayo y Orozco, Eloisa Tellez Chavez, Alejandro Valdes Cepeda, Luis Venegas Carrillo, Juan Villagordoa Mesa, Rolando Zamarripa Escobedo, John Baker, Paul Noonan, Russell Scott, Robert Walker, Edward Watson, Michael Williams, Simon Young, Zaynab Abejuela, Jeimeen Agra, Grace Aquitania, Clodoaido Caringal, Rhea Severina Comia, Lalaine Delos Santos, Olivert Gomez, Cecilia Jimeno, Gerry Tan, Marsha Tolentino, Christy Yao, Yvette Ethel Yap, Ma. Dovie Lallaine Ygpuara, Renata Bijata-Bronisz, Lucyna Hotlos, Andrzej Januszewicz, Barbara Kaczmarek, Anna Kaminska, Lech Lazuka, Andrzej Madej, Stanislaw Mazur, Dorota Mlodawska-Choluj, Michal Nowicki, Grazyna Orlowska-Kowalik, Grazyna Popenda, Barbara Rewerska, Dariusz Sowinski, Liliana Monica Angelescu, Veronica Anghel, Rodica-Ioana Avram, Mihaela-Magdalena Busegeanu, Adriana Cif, Dana Cosma, Carmen Crisan, Luiza Despina Demian, Ioana Emilia Ferariu, Ildiko Halmagyi, Nicolae Hancu, Mircea Munteanu, Doru Negru, Adriana Gabriela Onaca, Ligia Petrica, Amorin Remus Popa, Aurelian-Emil Ranetti, Cristian Serafinceanu, Cristina Toarba, Alina Agafyina, Olga Barbarash, Olga Barysheva, Daniil Chizhov, Vladimir Dobronravov, Irina Glinkina, Elena Grineva, Vladimir Khirmanov, Elena Kolmakova, Tatiana Koroleva, Liudmila Kvitkova, Viacheslav Marasaev, Ashot Mkrtumyan, Tatiana Morugova, Galina Nagibovich, Oleg Nagibovich, Sergei Nedogoda, Irina Osipova, Tatiana Raskina, Yulia Samoylova, Olga Sazonova, Minara Shamkhalova, Elena Shutemova, Yuriy Shwartz, Oleg Uriasyev, Sergey Vorobyev, Anna Zateyshchikova, Dmitry Zateyshshikov, Tatyana Zykova, Slobodan Antic, Miodrag Djordjevic, Aleksandra Kendereski, Katarina Lalic, Nebojsa Lalic, Vesna Popovic-Radinovic, Jana Babikova, Olga Benusova, Ingrid Buganova, Jan Culak, Andrej Dzupina, Jana Dzuponova, Peter Fulop, Adriana Ilavska, Emil Martinka, Zuzana Ochodnicka, Daniel Pella, Iveta Smatanova, Fayzal Ahmed, Aysha Badat, Johannes Breedt, Lawrence Distiller, Vimladhevi Govender, Ravendran Govender, Mukesh Joshi, Jaco Jurgens, Gulam Latiff, Landman Lombard, Mohamed Mookadam, Nomangesi Ngcakani, Hendrik Nortje, Helena Oosthuizen, Larisha Pillay-Ramaya, Hans Prozesky, Jeevren Reddy, Paul Rheeder, Mary Seeber, Young Min Cho, In-Kyung Jeong, Sin Gon Kim, Yeong Hoon Kim, Hyuk-Sang Kwon, Min Jeong Kwon, Byung-Wan Lee, JungEun Lee, Moon-Kyu Lee, Moon-Suk Nam, Kook-Hwan Oh, Cheol- Young Park, Sun-Hee Park, Kun Ho Yoon, Pere Alvarez Garcia, Luis Asmarats Mercadal, Clara Barrios, Fernando Cereto Castro, Secundino Cigarran Guldris, Marta Dominguez Lopez, Jesus Egido de los Rios, Gema Fernandez Fresnedo, Antonio Galan Serrano, Isabel Garcia, Francisco Javier Gonzalez Martinez, Jose Esteban Jodar Gimeno, Manuel Lopez Mendoza, Tamara Malek Marin, Cristobal Morales Portillo, Maria Antonia Munar Vila, Manuel Muñoz Torres, Javier Nieto Iglesias, Jonay Pantoja Perez, Merce Perez Vera, Jose M. Portoles Perez, María Angustias Quesada Simón, Rafael Simo Canonge, Alfonso Soto Gonzalez, Manel Terns Riera, Francisco Jose Tinahones Madueno, Mercedes Velo Plaza, Chwen-Tzuei Chang, Lee-Ming Chuang, Te-Lin Hsia, Chang-Hsun Hsieh, Chih-Ching Lin, Yung- Chuan Lu, Wayne H-H Sheu, Olga Barna, Svitlana D. Bilyk, Volodymyr Botsyurko, Iryna Dudar, Ivan Fushtey, Olga Godlevska, Oleksandr Golovchenko, Olga Gyrina, Anatoliy Kazmirchuk, Iuliia Komisarenko, Oleksii Korzh, Nonna Kravchun, Oleg Legun, Borys Mankovskyy, Liliya Martynyuk, Yuriy Mostovoy, Nataliia Pashkovska, Larysa Pererva, Tetyana Pertseva, Oleksandr Samoylov, Ivan Smirnov, Yevgeniya Svyshchenko, Halyna Tomashkevych, Ivan Topchii, Nadiya Tryshchuk, Vira Tseluyko, Vadym Vizir, Maryna Vlasenko, Tetiana Zlova, Liliia Zub, Salah Abusnana, Mohamed Railey, Kamal Abouglila, Paul Ainsworth, Zishan Ali, Vijayaraman Arutchelvam, Maria Barnard, Srikanth Bellary, Emyr Davies, Mark Davies, Simon Davies, Alison Dawson, Mohsen El Kossi, Patrick English, Donald Fraser, Luigi Gnudi, Anthony Gunstone, Timothy Hall, Wasim Hanif, Alan Jackson, Andrew Johnson, Franklin Joseph, Singhan Krishnan, Mick Kumwenda, Iain MacDougall, Paul Nixon, Joseph O'Hare, Sam Philip, Shenaz Ramtoola, Manish Saxena, Davesh Sennik, Godwin Simon, Baldev Singh, Jeffrey Stephens, Anna Strzelecka, Rehan Symonds, Wayne Turner, Mona Wahba, John Wakeling, David Wheeler, Peter Winocour, Joseph Abdallah, Raied Abdullah, Matthew Abramowitz, Idalia Acosta, Joseph Aiello, Laura Akright, Ayim Akyea-Djamson, Rajendran Alappan, Radica Alicic, Amer Al-Karadsheh, Dale Crawford Allison, Carlos Arauz-Pacheco, Shahabul Arfeen, Ahmed Arif, Moogali Arvind, Naveen Atray, Ahmed Awad, Peggy Barnhill, Elizabeth Barranco, Carlos Barrera, Matthew Beacom, Venkata Behara, Diogo Belo, Rhonda Bentley-Lewis, Ramon Berenguer, Lidia Bermudez, Marializa Bernardo, Mihaela Biscoveanu, Cynthia Bowman-Stroud, Donald Brandon, Osvaldo Brusco, Robert Busch, Yamil Canaan, Alicia Chilito, Tom Christensen, Cynthia Christiano, Elena Christofides, Caroucel Chuateco, Kenneth Cohen, Robert Cohen, Debbie Cohen-Stein, Charles Cook, Daniel Coyne, Nizar Daboul, Riad Darwish, Adarsh Daswani, Kenneth Deck, Cyrus Desouza, Devasmita Dev, Monika Dhillon, Sohan Dua, Frank Eder, Ana Maria Elosegui, Mohamed El-Shahawy, John Ervin, Alberto Esquenazi, John Evans, Steven Fishbane, Juan Frias, Eugenia Galindo-Ramos, Claude Galphin, Adline Ghazi, Enrique Gonzalez, David Gorson, Anupama Gowda, Barbara Greco, Stephen Grubb, Rakesh Gulati, Jamal Hammoud, Stuart Handelsman, Israel Hartman, Kenneth Hershon, Daniel Hiser, George Hon, Radu Jacob, Maria Jaime, Aamir Jamal, Charles Kaupke, Gerald Keightley, Elizabeth Kern, Rakhi Khanna, Zeid Khitan, Sun Kim, Nelson Kopyt, Csaba Kovesdy, Gopal Krishna, Jeffrey (Jay) Kropp, Amrendra Kumar, Jayant Kumar, Neil Kumar, Jorge Kusnir, Wendy Lane, Mary Lawrence, Lawrence Lehrner, John Lentz, Dennis Levinson, Derek Lewis, Kenneth Liss, Andreas Maddux, Hiralal Maheshwari, Sreedhar Mandayam, Isam Marar, Bhasker Mehta, John Middleton, Jorge Mordujovich, Ramon Moreda, Moustafa Moustafa, Samuel Mujica Trenche, Mohanram Narayanan, Javier Narvarte, Tareq Nassar, George Newman, Brian Nichol, Philip Nicol, Josier Nisnisan, A. Kaldun Nossuli, Chamberlain Obialo, Sarah Olelewe, Michael Oliver, Andrew O'Shaughnessy, John Padron, Rohit Pankhaniya, Reginald Parker, Devesh Patel, Gnyandev Patel, Nina Patel, Humberto Pavon, Armando Perez, Carlos Perez, Alan Perlman, Karlton Pettis, Walter Pharr, Andrea Phillips, Raman Purighalla, Luis Quesada-Suarez, Rajiv Ranjan, Sanjeev Rastogi, Jakkidi Reddy, Marc Rendell, Lisa Rich, Michael Robinson, Hector Rodriguez, Sylvia Rosas, Fadi Saba, Rallabhandi Sankaram, Ravi Sarin, Robert Schreiman, David Scott, Mohamed Sekkarie, John Sensenbrenner, Muhammad Shakeel, Michael Shanik, Sylvia Shaw, Stephen Smith, Richard Solomon, Amy Sprague, Leslie Spry, Pusadee Suchinda, Senan Sultan, Prasanth Surampudi, Sherry Sussman, Anjanette Tan, Antonio Terrelonge, Michael Thompson, Fernando Trespalacios, Bruce Trippe, Pilar Trueba, Marcel Twahirwa, John Updegrove, Peter Van Buren, Mark Vannorsdall, Freemu Varghese, Pedro Velasquez-Mieyer, Sailaja Ventrapragada, Goga Vukotic, Khurram Wadud, Mark Warren, Henry Watson, Ronald Watts, Daniel Weiner, James Welker, Jean Welsh, Shelley Williams, and Michelle Zaniewski-Singh
Subjects: age, diabetes, Nephrology, kidney outcomes, sex, Diabetic kidney disease, canagliflozin, cardiovascular outcomes, chronic kidney disease, sodium/glucose cotransporter 2 inhibitors
Abstract: Rationale & Objective: It is unclear whether the effect of canagliflozin on adverse kidney and cardiovascular events in those with diabetic kidney disease varies by age and sex. We assessed the effects of canagliflozin among age group categories and between sexes in the Canagliflozin and Renal Endpoints in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE) study.Study Design: Secondary analysis of a randomized controlled trial.Setting & Participants: Participants in the CREDENCE trial.Intervention: Participants were randomly assigned to receive canagliflozin 100 mg/d or placebo.Outcomes: Primary composite outcome of kidney failure, doubling of serum creatinine concentration, or death due to kidney or cardiovascular disease. Prespecified secondary and safety outcomes were also analyzed. Outcomes were evaluated by age at baseline (Results: The mean age of the cohort was 63.0 ± 9.2 years, and 34% were female. Older age and female sex were independently associated with a lower risk of the composite of adverse kidney outcomes. There was no evidence that the effect of canagliflozin on the primary outcome (a composite of kidney failure, a doubling of serum creatinine concentration, or death from kidney or cardiovascular causes) differed between age groups (HRs, 0.67 [95% CI, 0.52-0.87], 0.63 [0.48-0.82], and 0.89 [0.61-1.29] for ages Limitations: This was a post hoc analysis with multiple comparisons.Conclusions: Canagliflozin consistently reduced the relative risk of kidney events in people with diabetic kidney disease in both sexes and across age subgroups. As a result of greater background risk, the absolute reduction in adverse kidney outcomes was greater in younger participants.Funding: This post hoc analysis of the CREDENCE trial was not funded. The CREDENCE study was sponsored by Janssen Research and Development and was conducted collaboratively by the sponsor, an academic-led steering committee, and an academic research organization, George Clinical.Trial Registration: The original CREDENCE trial was registered at ClinicalTrials.gov with study number NCT02065791.
Published: 2023
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4. Impact de la maladie rénale chronique sur la qualité de vie des personnes vivant avec un diabète de type 2 – point de vue des patients

Author: Nicolas Naïditch, Jean-François Thébaut, Cécile Vandevivère, Alfred Penfornis, and Jean-Pierre Fauvel
Subjects: Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Internal Medicine, Cardiology and Cardiovascular Medicine
Published: 2022
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5. Factors associated with kalemia in renal disease

Author: Maelys Granal, Denis Fouque, Micher Ducher, and Jean-Pierre Fauvel
Subjects: Transplantation, Nephrology
Abstract: Background International recommendations promote a strict potassium diet in order to avoid hyperkalemia in chronic kidney disease (CKD) patients. However, the efficiency of such a dietary recommendation has never been demonstrated. The objectives of this study were to define the relationship between kalemia, dietary potassium intake estimated by kaliuresis and renal function, and to define the factors associated with kalemia in patients using artificial intelligence. Methods To this extent, data from patients followed in a nephrology unit, included in the UniverSel study and whose kalemia (measured on the day of urine collection; n = 367) were analyzed. Results The patients included had a wide range of estimated glomerular filtration rate (eGFR), but few had stage 5 CKD. Kalemia was negatively and linearly correlated to eGFR (P Conclusion The results of this study do not support a strict dietary potassium control to regulate kalemia in stage 1–4 CKD patients.
Published: 2023
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6. Prediction of all-cause mortality for chronic kidney disease patients using four models of machine learnings

Author: Nu Thuy Dung Tran, Margaux Balezeaux, Maelys Granal, Denis Fouque, Michel Ducher, and Jean-Pierre Fauvel
Subjects: Transplantation, Nephrology
Abstract: Background The prediction tools developed from general population data to predict all-cause mortality are not adapted to chronic kidney disease (CKD) patients, because this population displays a higher mortality risk. This study aimed to create a clinical prediction tool with good predictive performance to predict the 2-year all-cause mortality of stage 4 or stage 5 CKD patients. Methods The performance of four different models (deep learning, random forest, Bayesian network, logistic regression) to create four prediction tools was compared using a 10-fold cross validation. The model that offered the best performance for predicting mortality in the Photo-Graphe 3 cohort was selected and then optimized using synthetic data and a selected number of explanatory variables. The performance of the optimized prediction tool to correctly predict the 2-year mortality of the patients included in the Photo-Graphe 3 database were then assessed. Results Prediction tools developed using the Bayesian network and logistic regression tended to have the best performances. Although not significantly different from logistic regression, the prediction tool developed using the Bayesian network was chosen because of its advantages and then optimized. The optimized prediction tool that was developed using synthetic data and the seven variables with the best predictive value (age, erythropoietin-stimulating agent, cardiovascular history, smoking status, 25-hydroxy vitamin D, parathyroid hormone and ferritin levels) had satisfactory internal performance. Conclusions A Bayesian network was used to create a seven-variable prediction tool to predict the 2-year all-cause mortality in patients with stage 4–5 CKD. Prior to external validation, the proposed prediction tool can be used at: https://dev.hed.cc/?a=jpfauvel&n=2022-05%20Modele%20Bayesien%2020000%20Mortalite%207%20variables%20Naif%20Zou%20online(1).neta for research purposes.
Published: 2022

7. Combined effect of obesity and metabolic profile on glomerular dysfunction in hypertensive subjects

Author: Abdelghani Bachir Cherif, Mohamed Temmar, Jean-Pierre Fauvel, Mohamed Tahar Chafik Bouafia, Samia Abdi, and S. Bennouar
Subjects: Adult, Male, medicine.medical_specialty, Kidney Glomerulus, 030232 urology & nephrology, Renal function, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Humans, Obesity, Aged, Therapeutic regimen, business.industry, Metabolic disorder, Confounding, General Medicine, Middle Aged, medicine.disease, Cross-Sectional Studies, Endocrinology, Nephrology, Hypertension, Metabolome, Female, Microalbuminuria, business, Body mass index, Metabolic profile, Glomerular Filtration Rate
Abstract: AIM The aim of this study is to explore the individual and combined effects of obesity and metabolic profile on the impairment of glomerular function among hypertensive subjects. METHODS This is a cross-sectional study enrolling 499 hypertensive subjects. Based on body mass index values and metabolic profile, they were assigned to one of four metabolic phenotype groups: MHNO: metabolically healthy non-obese, MHO: metabolically healthy but obese, MUHNO: metabolically unhealthy but non-obese, and MUHO: metabolically unhealthy and obese. The effect of the interaction between obesity and metabolic profile was tested on an additive scale, for both microalbuminuria and reduced estimated glomerular filtration rate (eGFR). RESULTS After adjustment for confounding factors, the highest risk of both microalbuminuria and decreased eGFR was found among patients of the MUHO group (OR = 6.0 [2.13], p
Published: 2021
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8. Blood pressure control in patients with chronic kidney disease according to office and home blood pressures

Author: Olivier Jabourek, Club des jeunes hypertensiologues, Olivier Hanon, Jean-Pierre Fauvel, J. Ott, Y. Dimitrov, Jacques Fourcade, François Chantrel, Michel Ducher, Jean-Michel Achard, and Daniela Babici
Subjects: medicine.medical_specialty, Evening, Patients, Diastole, Renal function, Blood Pressure, 030204 cardiovascular system & hematology, Assessment and Diagnosis, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Internal Medicine, medicine, Humans, cardiovascular diseases, 030212 general & internal medicine, Renal Insufficiency, Chronic, Antihypertensive Agents, Morning, Advanced and Specialized Nursing, Proteinuria, business.industry, General Medicine, Blood Pressure Monitoring, Ambulatory, medicine.disease, Circadian Rhythm, Blood pressure, Hypertension, Ambulatory, medicine.symptom, Cardiology and Cardiovascular Medicine, business, circulatory and respiratory physiology, Kidney disease
Abstract: OBJECTIVES The aim of this study was to assess blood pressure (BP) control in patients with chronic kidney disease (CKD) according to office and home BP and to assess the prevalence of normal BP, white-coat uncontrolled hypertension (WUCH), masked uncontrolled hypertension (MUCH) and elevated BP. METHODS Patients with renal failure with or without proteinuria were included in this multicenter observational study. Office BP was first measured by the physician using a self-monitoring BP device (three automatic readings), then by the patient at home (morning and evening) over 3 consecutive days. WUCH was defined as a systolic BP (SBP)/diastolic BP (DBP) ≥140/90 mmHg in the clinic and SBP/DBP
Published: 2020
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9. Prediction Tool to Estimate Potassium Diet in Chronic Kidney Disease Patients Developed Using a Machine Learning Tool: The UniverSel Study

Author: Maelys Granal, Lydia Slimani, Nans Florens, Florence Sens, Caroline Pelletier, Romain Pszczolinski, Catherine Casiez, Emilie Kalbacher, Anne Jolivot, Laurence Dubourg, Sandrine Lemoine, Celine Pasian, Michel Ducher, Jean Pierre Fauvel, Hôpital Edouard Herriot [CHU - HCL], Hospices Civils de Lyon (HCL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Université de Lyon-Université de Lyon-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ciblage thérapeutique en Oncologie (EA3738), Université de Lyon-Université de Lyon, and CarMeN, laboratoire
Subjects: Adult, Nutrition and Dietetics, Epidemiology, [SDV]Life Sciences [q-bio], Potassium, Dietary, potassium diet, prediction tool, Bayesian network, chronic kidney disease, Diet, Machine Learning, [SDV] Life Sciences [q-bio], Artificial Intelligence, Potassium, Humans, Renal Insufficiency, Chronic, Food Science
Abstract: International audience; There is a need for a reliable and validated method to estimate dietary potassium intake in chronic kidney disease (CKD) patients to improve prevention of cardiovascular complications. This study aimed to develop a clinical tool to estimate potassium intake using 24-h urinary potassium excretion as a surrogate of dietary potassium intake in this high-risk population. Data of 375 adult CKD-patients routinely collecting their 24-h urine were included to develop a prediction tool to estimate potassium diet. The prediction tool was built from a random sample of 80% of patients and validated on the remaining 20%. The accuracy of the prediction tool to classify potassium diet in the three classes of potassium excretion was 74%. Surprisingly, the variables related to potassium consumption were more related to clinical characteristics and renal pathology than to the potassium content of the ingested food. Artificial intelligence allowed to develop an easy-to-use tool for estimating patients' diets in clinical practice. After external validation, this tool could be extended to all CKD-patients for a better clinical and therapeutic management for the prevention of cardiovascular complications.
Published: 2022
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10. Use of Artificial Intelligence to Predict Intensive Care Admission or Death in Patients Hospitalised for COVID-19: The PREDICT-COVID Study

Author: Michel Ducher, Christelle Elias, Nans Florens, Maelys Granal, Mitra Saadatian-Elahi, Laetitia Henaff, Philippe Vanhems, and Jean-Pierre Fauvel
Subjects: General Medicine
Published: 2022
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11. ANTIPLATELET AND ANTICOAGULANT THERAPY DURING ANGIOPLASTY PROCEDURES FOR ATHEROMATOUS OR FIBROMUSCULAR DYSPLASIA RENAL ARTERY STENOSIS: A SURVEY OF PRACTICES IN EUROPEAN SOCIETY OF HYPERTENSION EXCELLENCE CENTRES (ESH-EC) IN FRANCE

Author: Beatrice Bouhanick, Jacques Amar, Laurence Amar, Pierre Yves Courand, Pascal Delsart, Thierry Denolle, Julien Doublet, Jean Pierre Fauvel, Pierre Fesler, Xavier Girerd, Sylvain Le Jeune, Caroline Pelletier, Patrick Rossignol, Mathieu Rodière, François Silhol, and Marilucy Lopez-Sublet
Subjects: Physiology, Internal Medicine, Cardiology and Cardiovascular Medicine
Published: 2022
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12. RENIN ANGIOTENSIN SYSTEM BLOCKADE AT BEDTIME VERSUS ON AWAKENING TO PREVENT ALDOSTERONE BREAKTHROUGH

Author: Audrey Laurain, Sandrine Lemoine, Jean-Pierre Fauvel, Jerome Sampol, Eric Fontas, Kevin Zorzi, Vincent Esnault, and Guillaume Favre
Subjects: Physiology, Internal Medicine, Cardiology and Cardiovascular Medicine
Published: 2022
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13. Dysfonction érectile et traitement antihypertenseur : impact des différentes classes thérapeutiques et conduite à tenir à l’égard du traitement

Author: Jean-Pierre Fauvel, Marie Hélène Colson, Thierry Denolle, Jean-Marc Boivin, Jacques Blacher, Eric Huyghe, Claire Mounier-Vehier, and Béatrice Bouhanick
Subjects: medicine.medical_specialty, business.industry, 030232 urology & nephrology, MEDLINE, Vasodilation, General Medicine, medicine.disease, Drug Substitution, Nebivolol, 03 medical and health sciences, 0302 clinical medicine, Sexual dysfunction, Erectile dysfunction, 030220 oncology & carcinogenesis, Internal medicine, Medicine, In patient, medicine.symptom, business, medicine.drug
Abstract: Erectile dysfunction (ED) is not routinely discussed with patients in cardiology practices whereas it may impact the ability of patients to stay on therapy. Most of the studies about ED and antihypertensive therapies have several methodological limitations. Diuretics and beta-blockers have been shown to have a deleterious effect on ED. ISRA inhibitors, calcium antagonists, vasodilator beta-blockers and alpha-blockers have been shown to have a neutral impact on ED. Angiotensin 2 inhibitors, nebivolol and alpha-blockers use has sometimes beneficial effect on ED. In case of ED due to antihypertensive treatment, drugs can be switched each other but careful attention in patients with a high cardiovascular risk is required.
Published: 2019
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14. Évaluation de l’autoquestionnaire ExSel® pour dépister une consommation excessive de sel chez les patients consultant en néphrologie

Author: Nans Florens, L.M. Monntoya, Michel Ducher, Jean-Pierre Fauvel, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Hospices Civils de Lyon (HCL), Ciblage thérapeutique en Oncologie (EA3738), and Université de Lyon-Université de Lyon
Subjects: Gynecology, 03 medical and health sciences, medicine.medical_specialty, 0302 clinical medicine, business.industry, [SDV]Life Sciences [q-bio], Medicine, 030204 cardiovascular system & hematology, Cardiology and Cardiovascular Medicine, business
Abstract: Resume But de l’etude Evaluer la fiabilite de l’autoquestionnaire ExSel® pour detecter une consommation excessive de sel (≥ 12 g/24 h) chez les patients consultant pour hypertension et/ou insuffisance renale. Methodes Les resultats obtenus par l’autoquestionnaire ExSel® ont ete compares a l’excretion de sodium pendant 24 h a l’aide du test de Kappa de Cohen, et du test du Khi2. La sensibilite, la specificite, les VPP et VPN ont ete calculees. Une courbe ROC a ete realisee pour rechercher un seuil de positivite. Resultats Les caracteristiques moyennes des 101 patients avec des resultats fiables etaient les suivantes : âge de 67 ± 12 ans, indice de masse corporelle 28,4 + 5,6 kg/m2, SBP/DBP 139 ± 23/74 ± 13 mmHg (98 % etaient des hypertendus). La consommation de sel evaluee par la natriurese des 24 h etait de 7,5 ± 3,1 g/24 h. La creatininurie etait de 13,9 + 20,1 mmol/24 h. Une consommation excessive de sel (≥ 12 g/24 h) a ete observee chez 8 % des patients. Le test Kappa a 0,17 et le Khi2 a 0,66 signifient que l’accord entre ExSel® et la natriurese n’etait pas significatif pour depister un exces de consommation sodee. La sensibilite etait de 37 %, la specificite de 90 %, la VPP de 20 % et la VPN de 94 %. L’aire sous la courbe ROC etait trop faible (0,665) pour esperer pouvoir determiner un seuil de positivite d’ExSel® adapte aux patients consultant en nephrologie. Conclusion L’autoquestionnaire ExSel® n’est pas adaptee aux patients ambulatoires suivis en consultation de nephrologie dont 98 % etaient hypertendus pour depister une consommation excessive de sel > 12 g/24 h.
Published: 2019
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15. Non, l’hypertension artérielle ne concerne pas que les adultes

Author: Beatrice Duly-Bouhanick and Jean Pierre Fauvel
Published: 2021
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16. Hypertension in Children and Adolescents: A Position Statement From a Panel of Multidisciplinary Experts Coordinated by the French Society of Hypertension

Author: Béatrice Bouhanick, Philippe Sosner, Karine Brochard, Claire Mounier-Véhier, Geneviève Plu-Bureau, Sébastien Hascoet, Bruno Ranchin, Christine Pietrement, Laetitia Martinerie, Jean Marc Boivin, Jean Pierre Fauvel, Justine Bacchetta, BOZEC, Erwan, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Centre d'Epidémiologie et de Recherche en santé des POPulations (CERPOP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire 'Mobilité, Vieillissement, Exercice' (MOVE) (MOVE), Université de Poitiers, Centre médico-sportif Mon Stade [Paris], Centre de Diagnostic et de Thérapeutique, Hôpital de l’Hôtel-Dieu [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service Néphrologie, médecine interne et hypertension pédiatrique [CHU Toulouse], Pôle Enfants [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Hôpital cardiologique, Université de Lille, Droit et Santé-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Unité de Gynécologie Médicale, AP-HP, Hôpital Port-Royal, Université de Paris, Pôle des Cardiopathies Congénitales du Nouveau-Né à L'adulte - Centre Constitutif Cardiopathies Congénitales Complexes M3C, Groupe Hospitalier Paris Saint-Joseph, Hôpital Marie-Lannelongue, Inserm U999, Université Paris-Saclay, Service de néphrologie, rhumatologie et dermatologie pédiatriques [Hôpital Femme Mère Enfant, HCL], Hospices Civils de Lyon (HCL)-Hôpital Mère Enfant, Centre de Référence des Maladies Rénales Rares, Hospices Civil de Lyon, Filières Maladies Rares ORKID et ERK-Net, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Centre Hospitalier Universitaire de Reims (CHU Reims), Centre de Référence des Maladies Endocriniennes Rares de la Croissance [APHP Robert Debré], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré-Université Paris Cité (UPCité), Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Centre d'investigation clinique plurithématique Pierre Drouin [Nancy] (CIC-P), Centre d'investigation clinique [Nancy] (CIC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] (INI-CRCT), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu [Nancy], French-Clinical Research Infrastructure Network - F-CRIN [Paris] (Cardiovascular & Renal Clinical Trialists - CRCT ), Service de Néphrologie Hospices Civils - hta - dialyse, Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Hôpital de Rangueil, CHU Toulouse [Toulouse], Service de Néphrologie Médecine Interne Pédiatrique, Hôpital des Enfants, CHU Toulouse, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré-Université de Paris (UP), and Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: Position statement, Percentile, medicine.medical_specialty, hypertension, 030204 cardiovascular system & hematology, Pediatrics, RJ1-570, 03 medical and health sciences, 0302 clinical medicine, children, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Multidisciplinary approach, 030225 pediatrics, Medicine, adolescents, Therapeutic strategy, Measurement method, business.industry, French position statement, 3. Good health, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Blood pressure, Family medicine, Pediatrics, Perinatology and Child Health, Normative, Systematic Review, business, Paediatric population, high blood pressure
Abstract: International audience; Hypertension is much less common in children than in adults. The group of experts decided to perform a review of the literature to draw up a position statement that could be used in everyday practice. The group rated recommendations using the GRADE approach. All children over the age of 3 years should have their blood pressure measured annually. Due to the lack of data on cardiovascular morbidity and mortality associated with blood pressure values, the definition of hypertension in children is a statistical value based on the normal distribution of blood pressure in the paediatric population, and children and adolescents are considered as having hypertension when their blood pressure is greater than or equal to the 95th percentile. Nevertheless, it is recommended to use normative blood pressure tables developed according to age, height and gender, to define hypertension. Measuring blood pressure in children can be technically challenging and several measurement methods are listed here. Regardless of the age of the child, it is recommended to carefully check for a secondary cause of hypertension as in 2/3 of cases it has a renal or cardiac origin. The care pathway and principles of the therapeutic strategy are described here.
Published: 2021
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17. Predicting an Unfavourable Course in Patients Hospitalised for COVID-19: The PREDICT-COVID Study

Author: Philippe Vanhems, Jean Pierre Fauvel, Michel Ducher, Christelle Elias, and Nans Florens
Subjects: medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), business.industry, Medicine, In patient, business, Intensive care medicine, Course (navigation)
Abstract: Background. Clinical decision tools that have been proposed to predict the clinical course of patients admitted to hospital with COVID-19 are poorly presented and are at high risk of selection bias. The aim of the study was to propose a prediction clinical tool to predict an unfavourable outcome at the admission of a SARS-CoV2 infected patient that was carefully developed using a large learning database and that was developed from models derived from artificial intelligence.Methods. The PREDICT-COVID study is a post hoc analysis of the Noso-Cor study, a multicenter prospective, observational study. All patients infected by SARS-CoV2 hospitalized in one of the 11 Lyon-University hospitals since 8-March-2020 have been included. The PREDICT-COVID database was split in two separate datasets: the learning dataset (80%) was used for the development of the model and the validation dataset (20%) for internal validation. The primary composite outcome was the need for mechanical ventilation or admission into an intensive care unit, or death within 21 days of admission.Results. Data from 823 patients were analysed: age 70.6±16·9 years; body mass index 26.7±5·4 kg/m2 and median number of comorbidities was 2. Out of the 44 recorded variables, 11 that were the most linked to the primary outcome criteria were retained to develop the optimised risk prediction tool. At admission the 5 most informative predictors were, in descending order: C-Reactive Protein, neutrophil-to-lymphocyte ratio, aspartate transaminase, shortness of breath, and prothrombin time. The ten-fold cross validation of the optimised model had an area under the ROC curve of 0.76±0.06. The performance of the developed Bayesian model to predict the primary outcome of the validation dataset had a mean area under the ROC curve of 0.78, sensitivity of 60%, and specificity of 77%.Conclusions. The proposed optimised prediction tool that uses 11 routinely determined variables to predict an unfavourable course at admission for COVID-19 had satisfactory performance. For an external validation, the PREDICT-COVID prediction tool is available online at: https://www.hed.cc/?a=covid&n=NETCRIT21J.netaTrial registration: The Noso-Cor study was registered on ClinicalTrials (NCT04290780). The present analysis was registered on ClinicalTrials (NCT04412031) the June 2, 2020.
Published: 2020
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18. [Vascular nephropathy]

Author: Nans, Florens, Florence, Sens, and Jean-Pierre, Fauvel
Subjects: Humans, Kidney Diseases, Vascular Diseases, Kidney
Published: 2020

19. Hyperuricemia and Hypertension, Coronary Artery Disease, Kidney Disease: From Concept to Practice

Author: Michel Galinier, François Diévart, Stéphane Sadrin, Mélanie Gaubert, J M Maixent, Thomas Bardin, Alain Cohen-Solal, Régis Guieu, Franck Paganelli, Jean-Pierre Fauvel, Hôpital Nord [CHU - APHM], Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Villette Private Hospital, Hospices Civils de Lyon (HCL), Centre recherche en CardioVasculaire et Nutrition = Center for CardioVascular and Nutrition research (C2VN), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre Hospitalier Henri Laborit (CHL), Hôpital de Rangueil, CHU Toulouse [Toulouse], Service de cardiologie [Hôpital Nord - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital Nord [CHU - APHM], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), and Guieu, régis
Subjects: medicine.medical_specialty, serum uric acid, [SDV]Life Sciences [q-bio], Renal function, Type 2 diabetes, Coronary Artery Disease, Review, hyperuricemia, 030204 cardiovascular system & hematology, Catalysis, Inorganic Chemistry, Coronary artery disease, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Framingham Heart Study, renal disease, cardiovascular disease, Internal medicine, medicine, Animals, Humans, 030212 general & internal medicine, Hyperuricemia, Longitudinal Studies, Physical and Theoretical Chemistry, Renal Insufficiency, Chronic, Molecular Biology, Spectroscopy, business.industry, Organic Chemistry, General Medicine, medicine.disease, 3. Good health, Computer Science Applications, [SDV] Life Sciences [q-bio], Blood pressure, chemistry, Diabetes Mellitus, Type 2, Hypertension, Cardiology, Uric acid, business, Kidney disease
Abstract: International audience; Since the publication of the Framingham Heart Study, which suggested that uric acid should no longer be associated with coronary heart disease after additional adjustment for cardiovascular disease risk factors, the number of publications challenging this statement has dramatically increased. The aim of this paper was to review and discuss the most recent studies addressing the possible relation between sustained elevated serum uric acid levels and the onset or worsening of cardiovascular and renal diseases. Original studies involving American teenagers clearly showed that serum uric acid levels were directly correlated with systolic and diastolic pressures, which has been confirmed in adult cohorts revealing a 2.21-fold increased risk of hypertension. Several studies involving patients with coronary artery disease support a role for serum uric acid level as a marker and/or predictor for future cardiovascular mortality and long-term adverse events in patients with coronary artery disease. Retrospective analyses have shown an inverse relationship between serum uric acid levels and renal function, and even a mild hyperuricemia has been shown to be associated with chronic kidney disease in patients with type 2 diabetes. Interventional studies, although of small size, showed that uric acid (UA)-lowering therapies induced a reduction of blood pressure in teenagers and a protective effect on renal function. Taken together, these studies support a role for high serum uric acid levels (>6 mg/dL or 60 mg/L) in hypertension-associated morbidities and should bring awareness to physicians with regards to patients with chronic hyperuricemia.
Published: 2020
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20. Renin-angiotensin system blockers and severe acute respiratory syndrome coronavirus 2

Author: Bernard I. Levy, Société Française d’Hypertension Artérielle, Jean-Pierre Fauvel, CCSD, Accord Elsevier, Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Evaluation et modélisation des effets thérapeutiques, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)
Subjects: Arterial hypertension, Coronavirus disease 2019 (COVID-19), ACE, angiotensin-converting enzyme, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), [SDV]Life Sciences [q-bio], Pneumonia, Viral, Heart failure, Angiotensin-Converting Enzyme Inhibitors, 030204 cardiovascular system & hematology, ACE2, angiotensin-converting enzyme 2, SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, Article, Renin-Angiotensin System, 03 medical and health sciences, Betacoronavirus, 0302 clinical medicine, Renin–angiotensin system, medicine, Humans, 030212 general & internal medicine, Pandemics, COVID-19, coronavirus disease 2019, chemistry.chemical_classification, biology, business.industry, SARS-CoV-2, COVID-19, RAS, renin-angiotensin system, General Medicine, Angiotensin receptor blockers, biology.organism_classification, medicine.disease, ARB, angiotensin II receptor blocker, Enzyme assay, 3. Good health, [SDV] Life Sciences [q-bio], Enzyme, chemistry, Ang, angiotensin, Immunology, biology.protein, AT1 receptor, angiotensin II receptor type 1, Angiotensin Receptor Blockers, Cardiology and Cardiovascular Medicine, business, Coronavirus Infections, Angiotensin II Type 1 Receptor Blockers
Abstract: Summary Severe acute respiratory syndrome coronavirus 2, which is responsible for the current coronavirus disease 2019 pandemic, uses angiotensin-converting enzyme 2 as a gateway into host cells. In this review, we summarize the biology of this enzyme, which plays a key role in cardiovascular homeostasis. Blockers of the renin-angiotensin system modify the expression and activity of angiotensin-converting enzyme 2 in different ways. The effects of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers on the expression and enzyme activity of angiotensin-converting enzyme 2 are reviewed, and the consequences of these treatments for the severity of coronavirus disease 2019 infection are discussed.
Published: 2020
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21. Combined effect of renal function and serum potassium level in sudden cardiac death in aging hypertensive subjects

Author: Jean-Pierre Fauvel, Michel Ducher, Lutgarde Thijs, and François Gueyffier
Subjects: Male, medicine.medical_specialty, Hyperkalemia, Physiology, 030232 urology & nephrology, Renal function, 030204 cardiovascular system & hematology, law.invention, Sudden cardiac death, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Randomized controlled trial, law, Internal medicine, Internal Medicine, medicine, Humans, Renal Insufficiency, Chronic, Aged, Randomized Controlled Trials as Topic, Aged, 80 and over, Creatinine, Receiver operating characteristic, business.industry, Bayes Theorem, medicine.disease, Hypokalemia, Death, Sudden, Cardiac, chemistry, Hypertension, Potassium, Cardiology, Female, medicine.symptom, Cardiology and Cardiovascular Medicine, business, Kidney disease
Abstract: In patients with chronic kidney disease, serum potassium level is a factor influencing sudden cardiac death (SCD). The aim of our analysis was to study the combined effect of serum potassium level and renal function on the onset of SCD in elderly hypertensive subjects. Data from the 3620 hypertensive patients aged over 70 years were extracted from three randomized clinical trials included in the INDANA database. During a mean follow up of 4.5 years, 81 patients (2.24%) died from SCD. Mean serum potassium levels and prevalence of chronic kidney disease were not different in patients who died from SCD. In addition to serum potassium and creatinine levels, 14 clinical and biological variables linked to cardiovascular diseases recorded at baseline were analyzed using a Bayesian network. The area under the receiver operating characteristic curve of the Bayesian model reached 0.91. Bayesian inference was used to simulate the combined effects of serum potassium and creatinine levels on SCD. Our analysis, using simulated data from Bayesian model, showed that the estimated probabilities of SCD was significantly increased in case of hyperkalemia (>5.0 mmol/l) and in case of hypokalemia (
Published: 2018
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22. FRANCE'S PARTICIPATION IN MAY MEASUREMENT MONTH 2019: THE WHOLE STARTING POINT OF A COLLECTIVE WORK WITHIN THE FRENCH SOCIETY OF HYPERTENSION (SFHTA)

Author: Jean-Michel Halimi, Thierry Denolle, Béatrice Bouhanick, Jean-Jacques Mourad, Jean Marc Boivin, M. Lopez-Sublet, Jean Pierre Fauvel, Atul Pathak, and Bernard Vaisse
Subjects: Point (typography), Physiology, business.industry, Internal Medicine, Medicine, Collective work, Gender studies, Cardiology and Cardiovascular Medicine, business
Published: 2021
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23. HTA ET GROSSESSE

Author: Vassilis Tsatsaris, Geneviève Plu-Bureau, Claire Mounier-Vehier, Thierry Denolle, Jacques Amar, Jean-Pierre Fauvel, Jean-Marc Boivin, and Jacques Blacher
Subjects: 0301 basic medicine, 03 medical and health sciences, 030104 developmental biology, business.industry, Medicine, Hematology, business
Published: 2017
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24. Prediction of all-cause mortality in haemodialysis patients using a Bayesian network

Author: Hubert Roth, Denis Fouque, Nans Florens, Marleine Mefeugue Siga, Nadir Mahloul, Michel Ducher, Jean-Pierre Fauvel, Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: medicine.medical_specialty, medicine.medical_treatment, [SDV]Life Sciences [q-bio], 030232 urology & nephrology, 030204 cardiovascular system & hematology, Logistic regression, 03 medical and health sciences, risk prediction, 0302 clinical medicine, Artificial Intelligence, Renal Dialysis, Epidemiology, Post-hoc analysis, Statistics, Humans, Medicine, Prospective Studies, Prospective cohort study, Transplantation, Receiver operating characteristic, business.industry, Bayesian network, Bayes Theorem, Prognosis, mortality, 3. Good health, Survival Rate, haemodialysis, ROC Curve, Nephrology, epidemiology, Hemodialysis, business, All cause mortality
Abstract: Background All-cause mortality in haemodialysis (HD) is high, reaching 15.6% in the first year according to the European Renal Association. Methods A new clinical tool to predict all-cause mortality in HD patients is proposed. It uses a post hoc analysis of data from the prospective cohort study Photo-Graph V3. A total of 35 variables related to patient characteristics, laboratory values and treatments were used as predictors of all-cause mortality. The first step was to compare the results obtained using a logistic regression to those obtained by a Bayesian network. The second step aimed to increase the performance of the best prediction model using synthetic data. Finally, a compromise between performance and ergonomics was proposed by reducing the number of variables to be entered in the prediction tool. Results Among the 9010 HD patients included in the Photo-Graph V3 study, 4915 incident patients with known medical status at 2 years were analysed. All-cause mortality at 2 years was 34.1%. The Bayesian network provided the most reliable prediction. The final optimized models that used 14 variables had areas under the receiver operating characteristic curves of 0.78 ± 0.01, sensitivity of 72 ± 2%, specificity of 69 ± 2%, predictive positive value of 70 ± 1% and negative predictive value of 71 ± 2% for the prediction of all-cause mortality. Conclusions Using artificial intelligence methods, a new clinical tool to predict all-cause mortality in incident HD patients is proposed. The latter can be used for research purposes before its external validation at: https://www.hed.cc/? a=twoyearsallcausemortalityhemod&n=2-years%20All-cause%20Mortality%20Hemodialysis.neta.
Published: 2020
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25. Design and Baseline Characteristics of the Finerenone in Reducing Cardiovascular Mortality and Morbidity in Diabetic Kidney Disease Trial

Author: Ruilope, Luis M, Agarwal, Rajiv, Anker, Stefan D, Bakris, George L, Filippatos, Gerasimos, Nowack, Christina, Kolkhof, Peter, Joseph, Amer, Mentenich, Nicole, Pitt, Bertram, Diego, Besada, Alfredo, Wassermann, Julio, Bittar, Alicia, Elbert, Augusto, Vallejos, Gloria, Viñes, Hugo, Sanabria, Federico Pérez Manghi, Alberto, Liberman, Inés, Bartolacci, Diego, Aizenberg, Mariano, Chahin, Laura, Maffei, Elizabeth, Gelersztein, Bernhard, Ludvik, Hans-Robert, Schönherr, Heinz, Drexel, Wolfgang, Preiß, Ursula, Hanusch, Peter, Neudorfer, Friedrich, Prischl, Bernhard, Paulweber, Christoph, Ebenbichler, Rudolf, Prager, Harald, Sourij, Gerit-Holger, Schernthaner, Martin, Clodi, Evelyn, Fliesser-Görzer, Elif, Ekinci, Richard, Macisaac, David, Packham, Hugo, Stephenson, Michael, Suranyi, Gary, Wittert, Katie-Jane, Wynne, Alexia, Pape, Duncan, Topliss, Peter, Colman, Craig, Nelson, James, Vandeleur, David, Colquhoun, Simon, Roger, Peak Mann Mah, Walter, Abhayaratna, Luc VAN Gaal, Pieter, Gillard, Jean-Michel, Hougardy, Marijn, Speeckaert, Koen, Stas, Wendy, Engelen, Francis, Duyck, André, Scheen, Hilde, Vanbelleghem, Peter, Doubel, Svetla, Vasileva, Rosen, Rashkov, Boyan, Nonchev, Theodora, Temelkova-Kurktschieva, Mariana, Yoncheva-Mihaylova, Rangel, Rangelov, Neli, Klyuchkova, Pavel, Stanchev, Zhivko, Tagarev, Radostina, Boshnyashka, Petya, Manova, Zhulieta, Prakova, Mariya, Lucheva, Valentina, Gushterova, Ghassan, Farah, Dimitar, Georgiev, Mariyana, Pichmanova, Dotska, Minkova, Bilyana, Stoyanovska-Elencheva, Maria Eugenia Canziani, Miguel, Hissa, Irene, Noronha, Joao Eduardo Salles, Daniela, Antunes, Freddy, Eliaschewitz, Carlos Eduardo Figueiredo, Rogerio de Paula, Luis, Canani, Maurilo Leite Jr, Bruno, Paolino, Rosangela, Rea, Sergio, Vencio, Claudia, Brito, Raphael, Paschoalin, Roberto Pecoits Filho, Eduardo, Vasconcellos, Nathalia, Paschoalin, Adriana, Forti, Roberto, Botelho, Miguel, Riella, Dalton, Precoma, Maria, Cerqueira, Lilia, Maia, Evandro, Portes, Marcio, Pereira, Joanne, Liutkus, Dennis, O Keefe, Richard, Tytus, Brian, Carlson, James, Conway, Michael, Walsh, Igor, Wilderman, Andrew, Steele, Sheldon, Tobe, Louise, Vitou, Karthik, Tennankore, Valdemar, Martinho, Philip, Mcfarlane, Daniel, Shu, Serge, Cournoyer, Richard, Dumas, Giuseppe, Mazza, Guy, Tellier, George, Tsoukas, Stanley, Weisnagel, Jean-Francois, Yale, Sameh, Fikry, Randolph, Hart, Pavel, Hamet, Francois, Madore, Paul, Barre, Daniel, Schwartz, Allan, Kelly, Ivor, Teitelbaum, Sean, Peterson, Sam, Henein, Richard, Goluch, Gregoire, Wuerzner, Markus, Laimer, Stefan, Bilz, Marc, Donath, Gottfried, Rudofsky, Christopher, Strey, Antoinette, Pechère-Bertschi, Paola, Varleta, Fernando, González, Marcelo, Medina, Carmen, Romero, Victor, Saavedra, Juan Carlos Prieto, Eliana, Reyes, Juan Carlos Palma, Jorge, Cobos, Zhihong, Liu, Dalong, Zhu, Nan, Chen, Fang, Liu, Wang, Li, Qing, Su, Bingyin, Shi, Aiping, Yin, Hao, Wang, Yan, Li, Jianying, Niu, Chaoqing, Wu, Xinjun, Wang, Ying, Zhang, Peng, Ai, Jianhua, Ma, Yuxiu, Li, Hongguang, Zheng, Minxiang, Lei, Zhaohui, Mo, Nanwei, Tong, Jinluo, Cheng, Youping, Dong, Xudong, Xu, Qinkai, Chen, Tianjun, Guan, Gang, Long, Changying, Xing, Ling, Li, Yinghong, Liu, Hao, Zhang, Ling, Zhong, Zhonghe, Li, Longyi, Zeng, Jiali, Wei, Hanqing, Cai, Tianfeng, Wu, Weiping, Lu, Ning, Xu, Yibing, Lu, Dejun, Chen, Ruifang, Bu, Jiansong, Shen, Junwu, Dong, Zhiquan, Zhao, Fei, Xiong, Fangfang, Jiang, Jinkui, Yang, Jian, Kuang, Guoyuan, Lu, Lihua, Wang, Yanlin, Zhang, Shuifu, Tang, Weiying, Guo, Jian, Liu, Sheng, Jiang, Fang, Yi, Yuming, Du, Zhuxing, Sun, Yuantao, Liu, Liyong, Zhong, Dongmei, Li, Hongmei, Li, Chuanming, Hao, Feixia, Shen, Jianqin, Wang, Jingmei, Li, Dora, Molina, Carlos, Cure, Jaime, Ibarra, Gustavo, Aroca, Hernán, Yupanqui, Eric, Hernández, Mónica, López, Gregorio, Sánchez, Germán, Barreto, Edgar, Arcos, Miguel, Urina, William, Kattah, Carlos, Durán, Clara, Arango, Julian, Coronel, Guillermo, Blanco, Mónica, Terront, Gustavo, Guzmán, Luis, García, Carlos, Jaramillo, Manuel, Liévano, Diego, Benitez, Tatiana, Cárdenas, Iván, Villegas, Sandra, Barrera, Nicolás, Jaramillo, Rodrigo, Botero, Nelly Beltrán López, Freddy, Trujillo, Martin, Prazny, Jitka Hasalova Zapletalova, Libor, Okenka, Dino, Alferi, Tomas, Edelsberger, Pavel, Tomanek, Jiri, Brezina, Olga, Hola, Jana, Houdova, Petr, Bucek, David, Karasek, Sarka, Kopecka, Richard, Kovar, Michal, Brada, Lucie, Hornova, Eva, Krcova, Hana, Lubanda, Vlasta, Kutejova, Jiri, Kuchar, Helena, Hrmova, Jiri, Pumprla, Magdalena, Mokrejsova, Drahomira, Gulakova, Ivo, Matyasek, Thilo, Krüger, Hermann, Haller, Thorsten, Koch, Ludger, Rose, Diethelm, Tschöpe, Lutz, Stemler, Volker, Schettler, Andreas, Pfützner, Karl, Derwahl, Thomas, Horacek, Helena, Sigal, Heidrun, Täschner, Ingolf, Schiefke, Andreas, Hagenow, Andreas, Birkenfeld, Christoph, Axthelm, Christoph, Wanner, Klaus, Busch, Heike, Schlichthaar, Christoph, Hasslacher, Stefan, Degenhardt, Markus van der Giet, Georg, Strack, Norbert, Schöll, Bernhard, R Winkelmann, Lars, Rump, Ruth, Nischik, Bernd, Schröppel, Thomas, Giebel, Achim, Ulmer, Andrea, Rinke, Christel, Contzen, Wolfgang, Jungmair, Nicole, Toursarkissian, Christof, Kloos, Joachim, Müller, Thomas, Schürholz, Hermann, Braun, Frank, Pistrosch, Per, Poulsen, Claus, Juhl, Joan, Nielsen, Jesper, Bech, Ole, Rasmussen, Peter, Rossing, Jens, Faber, Thure, Krarup, Morten, Lindhardt, Ulrik Pedersen-Bjergaard Pedersen-Bjergaard, Karoline, Schousboe, Jørgen, Hangaard, Sten, Madsbad, Gunnar, Gislason, Grzegorz Jaroslaw Pacyk, Olga González Albarrán, Carlos Sánchez Juan, José Julián Segura de la Morena, Secundino Cigarrán Guldris, Francisco Martínez Deben, José María Pascual Izuel, Julio Pascual Santos, Francesca, Calero, Alfonso, Soto, Manuel Polaina Rusillo, Josep, Redón, Josep, Galcerán, Juan, Mediavilla, Mª Dolores Martínez Esteban, Alfredo, Michán, Fernando de Álvaro, Javier Escalada San Martín, Josep Cruzado Garrit, Cristina, Castro, Fernando Cereto Castro, Rafael Santamaría Olmo, Esteban, Poch, Judith, Martins, Julio Hernández Jaras, Meritxell, Ibernón, Daniel, Seron, Hanane, Bouarich, Maribel, Troya, Jorma, Strand, Ilkka, Kantola, Sakari, Nieminen, Arvo, Koistinen, Kristiina, Kananen, Sakari, Sulosaari, Mikko, Honkasalo, Pirkko, Korsoff, Tuomo, Nieminen, Karita, Sadeharju, Kari, Humaloja, Jorma, Lahtela, Philippe, Zaoui, Jean-Pierre, Fauvel, Ronan, Roussel, Didier, Gouet, Pierre, Serusclat, Sylvaine, Clavel, Bruno, Guerci, Bruno, Verges, Olivier, Moranne, Arnaud, Monier, Alexandre, Klein, François, Chantrel, Yannick LE Meur, Rafik, Mesbah, Bertrand, Cariou, Dominique, Guerrot, Karim, Gallouj, Kieran, Mccafferty, Arutchelvam, Vijayaraman, Yuk-Ki, Wong, Dhanya, Kalathil, Sam, Rice, Sui Phi Kon, Hassan, Kahal, Cuong, Dang, Fahmy, Hanna, Christina, Kyriakidou, Imrozia, Arif, Anne, Kilvert, Pauline, Swift, Ioannis, Stefanidis, Ploumis, Passadakis, Aikaterini, Papagianni, Erifili, Hatziagelaki, Dorothea, Papadopoulou, Ioannis, Boletis, Ioanna, Makriniotou, Theodora, Kounadi, Ioannis, Ioannidis, Paul, Lee, Ching Wan Ronald Ma, Vincent, Yeung, Tai Pang Ip, Ebrahim, Noori, Julianna, Kiss, Eleonora, Harcsa, Albert, Szocs, Szilard, Vasas, Krisztina, Wudi, Robert, Kirschner, Dora, Bajcsi, Beata, Lamboy, Botond, Literati-Nagy, Gabor, Nyirati, Gizella, Petro, Karoly, Schneider, Katalin, Keltai, Akos, Kalina, Peter, Danos, Szilvia, Kazup, Zsolt, Zilahi, Judit, Simon, Laszlo, Kovacs, Marianna, Zsom, Margit, Mileder, Laszlo, Nagy, Yoram, Yagil, Julio, Wainstein, Ofri, Mosenzon, Rosane Abramof Ness, Sydney Ben Chetrit, Faiad, Adawi, Idit, Liberty, Ehud, Grossman, Mazen, Elias, Zaher, Armaly, Evgeny, Farber, Assy, Nimer, Amir, Bashkin, Gil, Chernin, Shai, Efrati, Doron, Schwartz, Noa Berar Yanay, Mariela, Glandt, Robert, Zukermann, Majdi, Halabi, Shaul, Atar, Mahmud, Darawsha, Norberto, Perico, Gaetano La Manna, Giovanni Giorgio Battaglia, Domenico, Santoro, Piermarco, Piatti, Bonora, Enzo, Davide Carlo Maggi, Paolo, Calabrò, Roberto, Cimino, Roberto, Trevisan, Paolo, Fiorina, Antonio, Pisani, Antonello, Pani, Gennaro, Santorelli, Carlo Antonio Bossi, Giancarlo, Tonolo, Enrico, Fiaccadori, Anna Maria Veronelli, Michele, Emdin, Paola, Ponzani, Maria Cristina Gregorini, Franco Luigi Cavalot, Carlo Bruno Giorda, Taro, Shibasaki, Akihiro, Hamasaki, Takashi, Nomiyama, Sunao, Matsubayashi, Junji, Shinoda, Kazunari, Matsumoto, Hideo, Kanehara, Yoshihide, Hirohata, Masayo, Yamada, Jun, Nakazawa, Yoshimitsu, Yamasaki, Mikihiro, Nakayama, Ryuichi, Furuya, Osamu, Ebisui, Satsuki, Kawasaki, Daishiro, Yamada, Masayuki, Noritake, Tamayo, Ishiko, Nobuhiro, Sasaki, Daisuke, Suzuki, Asami, Tanaka, Miyuki, Kubota, Hideo, Araki, Hiroshi, Ohashi, Takeshi, Osonoi, Kazuo, Yamagata, Naruhiro, Fujita, Daisuke, Kanda, Seiichi, Tanaka, Junko, Koide, Masao, Ishii, Takayuki, Ogiwara, Masaaki, Suzuki, Taiji, Sekigami, Takayuki, Higashi, Yuko, Yambe, Yoshiro, Kusano, Hidetoshi, Kikuchi, Hiroaki, Miyaoka, Kiyoe, Kato, Masayuki, Kashima, Fumiko, Yamakawa, Shuji, Horinouchi, Hirofumi, Imoto, Hiroshi, Sobajima, Hidetoshi, Kanai, Naoki, Matsuoka, Hirotaka, Shibata, Akemi, Inagaki, Toshiyuki, Sugiura, Toru, Sugiyama, Hidekatsu, Yanai, Yoshiyuki, Hamamoto, Masahiro, Hatazaki, Terumasa, Hayashi, Kunihisa, Kobayashi, Satoshi, Murao, Makoto, Ujihara, Kazuya, Sugitatsu, Katsunori, Kawamitsu, Ken, Yamakawa, Izumi, Tsunematsu, Fumi, Kikuchi, Hideaki, Jinnouchi, Tetsuyuki, Yasuda, Hajime, Maeda, Yasuto, Matsuo, Hideki, Okamoto, Takeshi, Katsuki, Ken, Yajima, Takeshi, Morita, Masayuki, Inagaki, Wooje, Lee, Jungoo, Kang, Cheol Young Park, Hyesoon, Kim, Singon, Kim, Youcheol, Hwang, Injoo, Kim, Jaehyeon, Kim, Young Min Cho, Byungwan, Lee, Choonhee, Chung, Soo, Lim, Jae Myung Yu, Dovile, Kriauciuniene, Antanas, Navickas, Audrone, Velaviciene, Egle, Urbanaviciene, Gediminas, Urbonas, Jurate, Lasiene, Lina, Radzeviciene, Ron, Gansevoort, Adriaan, Kooy, G Lieverse, A, L Penne, E, Ruud J, M van Leendert, M van Buren, H Boonstra, A, C Bakker, R, Marielle, Krekels, B Brouwer, C, T Luik, P, J N, M Barendregt, Bert-Jan van den Born, Trine, Finnes, Thomas, Karlsson, Hilde, Selsås, Emil, Asprusten, Robert, Hagemeier, Erik, Eriksen, Knut, Risberg, Hans, Høivik, Leidulv, Solnør, Frode, Thorup, Jan, Rocke, Rick, Cutfield, Peter, Dunn, Jeremy, Krebs, Russell, Scott, Kingsley, Nirmalaraj, Nine, Smuts, John, Baker, Veronica, Crawford, Albert, Bautista, Roberto, Mirasol, Elizabeth, Catindig, Glenda, Pamugas, Louie, Tirador, Maribel, Tanque, Janusz, Gumprecht, Piotr, Napora, Edward, Franek, Andrzej, Stankiewicz, Katarzyna, Landa, Agnieszka, Tiuryn-Petrulewicz, Kazimierz, Ciechanowski, Bogna, Wierusz-Wysocka, Barbara, Rewerska, Grazyna, Cieslik, Michal, Hoffmann, Michal, Nowicki, Jolanta, Krzykowska, Stanislaw, Mazur, Katarzyna, Wasilewska, Anna, Ocicka-Kozakiewicz, Ewa, Skokowska, Renata, Wnetrzak-Michalska, Jan, Ruxer, Patrycja, Butrymowicz, Katarzyna, Madziarska, Ilona, Kurnatowska, Teresa, Rusicka, Adam, Madrzejewski, Tomasz, Stompor, Jose, Guia, Amalia, Pereira, Pedro, Melo, Cristina, Roque, Francisco, Rosario, Fernando Teixeira, E Costa, Fernando, Nolasco, Edgar, Almeida, Pedro, Matos, Cesar, Esteves, Rui, Carvalho, Ilidio, Brandao, Susana, Heitor, Ana Vila Lobos, Rosa, Ballesteros, Gil, Silva, Carlos, Barreto, Ana, Silva, Natalya, Vorokhobina, Alexander, Sherenkov, Ivan, Gordeev, Olga, Semenova, Sergey, Levashov, Vyacheslav, Marasaev, Ruslan, Sardinov, Vadim, Klimontov, Vitaliy, Baranov, Nadezhda, Verlan, Albert, Galyavich, Arkadiy, Demko, Zhanna, Kobalava, Elena, Zakharova, Lyudmila, Kvitkova, Oleg, Solovev, Elena, Smolyarchuk, Larisa, Zhukova, Elena, Zhdanova, Andrey, Babkin, Galina, Nechaeva, Olga, Barbarash, Elena, Rechkova, Roman, Libis, Elena, Kosmacheva, Tatyana, Rodionova, Irina, Ipatko, Alexander, Dreval, Nina, Petunina, Elena, Chernyavskaya, Alsu, Zalevskaya, Yuriy, Khalimov, Tatyana, Zykova, Anton, Edin, Ashot, Mkrtumyan, Shamil, Palyutin, Vyacheslav, Mareev, Leonid, Strongin, Olga, Ukhanova, Mikhail, Antsiferov, Davyd, Yakhontov, Leonid, Pimenov, Natalya, Koziolova, Konstantin, Nikolaev, Imad, Merai, Olga, Zanozina, Leyla, Gaysina, Mikhail, Arkhipov, Natalia, Malykh, Oksana, Rymar, Vladimir, Martynenko, Sofya, Malyutina, Polina, Ermakova, Marina, Kalashnikova, Bengt-Olov, Tengmark, Carl-Johan, Lindholm, Dan, Curiac, Ken, Eliasson, Erik, Rein-Hedin, Gregor, Guron, Inga, Soveri, Annette, Bruchfeld, Jonas, Spaak, Malin, Frank, Magnus, Löndahl, Hans, Larnefeldt, Margareta, Hellgren, Olof, Hellberg, Yong Mong Bee, Chee Fang Sum, Ru San Tan, Piyamitr, Sritara, Chaicharn, Deerochanawong, Chatlert, Pongchaiyakul, Natapong, Kosachunhanan, Bancha, Satirapoj, Ahmet, Temizhan, Ibrahim, Gul, Ramazan, Sari, Aytekin, Oguz, Mustafa, Tigen, Huseyin, Yilmaz, Ozer, Badak, Oner, Ozdogan, Talat, Tavli, Necmi, Eren, Murat, Cayli, Sedat, Ustundag, Yavuz, Yenicerioglu, Ismail, Kocyigit, Abdulbaki, Kumbasar, Idris, Sahin, Lee-Ming, Chuang, Ju-Ying, Jiang, Chien-Te, Lee, Der-Cherng, Tarng, Shih-Te, Tu, Mai-Szu, Wu, Ming-Ju, Wu, Chiz-Tzung, Chang, Cheng-Chieh, Hung, Liubov, Sokolova, Borys, Mankovsky, Dmytro, Kogut, Viktoriia, Chernikova, Kateryna, Malyar, Nonna, Kravchun, Volodymyr, Botsyurko, Vitaliy, Maslyanko, Liliya, Martynyuk, Oleksandr, Serhiyenko, Vasyl, Stryzhak, Halyna, Myshanych, Oleksandra, Donets, Iryna, Bondarets, Maryna, Vlasenko, Nataliia, Pertseva, Mariia, Grachova, Ivan, Smirnov, Larysa, Pererva, Ivan, Fushtey, Julia, Komisarenko, Anna, Isayeva, Carl, Meisner, Bobby, Khan, Louis, Maletz, Bradley, Dixon, Ahmed, Arif, Timothy, Jackson, Mirela, Ponduchi, Mahfouz El Shahawy, Salil, Nadkarni, Daniel, Urbach, Jorge, Paoli-Bruno, Henry, Lora, Umar, Farooq, Steven, Zeig, Lance, Rudolph, Nabil, Andrawis, William, Kaye, Jill, Meyer, Khalid, Bashir, Glenn, Heigerick, James, Smelser, Javier Ricardo Colomar, David, Scott, Brian, First, Stuart, Handelsman, Jose, Bautista, Rajesh, Patel, Stephen, Minton, Juan, Frias, Luis, Ramos-Gonez, John, Bertsch, Ali, Iranmanesh, Vivian, Fonseca, Michael, Yuryev, Larry, Popeil, Jose, Cardona, Sanjeev, Saxena, Santosh, Sharma, Edgar, Gonzalez, Richard, Solomon, Muhammad, Khan, Ahmed, Awad, David, Fitz-Patrick, Douglas, Linfert, David, Grant, Susan, Brian, Leon, Fogelfeld, Rafael, Canadas, Pablo, Pergola, Joseph, Soufer, Rakesh, Patel, Shujauddin, Valika, Jonathan, Winston, Allison, D, Maria, Caramori, Stanley, Koch, Anjay, Rastogi, Jonathan, Bornfreund, Michael, Rocco, Maxine, Hamilton, Luis, Garcia-Mayol, Peter, Weissman, Suzanne, Oparil, Gary, Ruoff, Kyaw, Soe, Gary, Korff, Robert, Busch, Alexander, Lurie, Israel, Hartman, Garfield, Samuels, Derek, Lejeune, Visal, Numrungroad, Stephen, Brietzke, Zeid, Kayali, Harold, Szerlip, Steven, Barag, Gilberto, Seco, Damaris, Vega, Osvaldo, Brusco, Camil, Kreit, Humberto, Cruz, Bharat, Mocherla, Sharma, Prabhakar, George, Fadda, Martin, Valdes, Eugene, Soroka, Ramin, Berenji, Sreedhara, Alla, Shweta, Bansal, Odugbesan, A, Karlton, Pettis, Masoud, Azizad, Idalia, Acosta, Atoya, Adams, William, Sanchez, Rosa, Suarez, Efrain, Reisin, Carlos, Herrera, Keung, Lee, Csaba, Kovesdy, Adam, Whaley-Connell, Aldo, Peixoto, Ronald, Mayfield, Mahendra, Jain, Earl, Martin, Paul, Norwood, Jonathan, Wise, Hugo, Romeu, Stephen, Halpern, Mustafa, Mandviwala, Thomas, Turk, Anna, Burgner, David, Bleich, Ankur, Doshi, Jose, Carpio, Jorge, Posada, Alexander, Magno, Samer, Nakhle, Gary, Goldstein, Caroline, Mbogua, Dierdre, Mcmullen, Dilawar, Ajani, Wayne, Kotzker, Nelson, Kopyt, Richard, Treger, Yusuf, Ruhullah, Sharon, Adler, Harjeet, Brar, Marc, Rendell, Dennis, Ross, Srinivasan, Beddhu, German, Hernandez, Sylvia, Rosas, M Sue Kirkman, Mohammed, El-Shahawy, Jeffrey, Rothman, Ahmad, Barakzoy, Aparna, Tamirisa, Sabrina, Benjamin, Michael, Bahrami, Prabir, Roy-Chaudhury, Ramprasad, Dandillaya, Gretel, Trullenque, Jose, Birriel, John, Flack, Karen, Johnson, Brenda, Lemus, Guillermo, Umpierrez, Geetha, Maddukuri, Kenneth, Jamerson, Christopher, Case, Patrick, Fluck, Saeed, Kronfli, Violet, Habwe, Bala, Subramanian, Tariq, Shafi, Rupesh, Raina, Roland, Fernando, Sourabh, Kharait, Carlos, Hernandez-Cassis, Raymond, Fink, Jamal, Hammoud, Amer, Al-Karadsheh, Manuel, Montero, Philip, Nicol, Jesus, Navarro, Michael, Shanik, Zia, Din, Francisco, Gonzalez-Abreu, Sam, Lerman, Claude, Galphin, John, Evans, Ashwini, Gore, Radica, Alicic, Mandeep, Sahani, Roberto, Pisoni, Tuan-Huy, Tran, Jeffrey, Ryu, Harvey, Serota, Nilda, Neyra, Richard, O Donovan, Sreedhar, Mandayam, Moustafa, Moustafa, Mark, Smith, Arvind, Krishna, Arjun, Sinha, Anuj, Bhargava, Kodangudi, Ramanathan, Soni, Dhanireddy, Stephen, Thomson, Romanita, Nica, Emaad, Abdel-Rahman, Mark, Barney, Mariana, Markell, Nauman, Shahid, David, Oliver, Tran, Khanh, Pham Nguyen Son, Lam VAN Hoang, Boi Ngoc Nguyen, Nguyen Minh Nui, Lan Phuong Tran, Fayzal, Ahmed, Dorothea, Urbach, Dirkie Jansen van Rensburg, Gracjan, Podgorski, Aslam, Amod, Sindeep, Bhana, Shaifali, Joshi, Essack, Mitha, Deepak, Lakha, Louis van Zyl, Trokis, J, Naresh, Ranjith, Mary, Seeber, Mohamed, Sarvan, Mohammed, Tayob, Brian, Rayner, Larry, Distiller, Heidi, Siebert, Mukesh, Joshi, Paul, Rheeder, Magdalena Madero Rovalo, Gustavo Solache Ortiz, Gustavo Méndez Machado, Rafael Valdez Ortiz, Juan Villagordoa Mesa, Saúl Irizar Santana, Sandro Avila Pardo, Jorge Escobedo de la Peña, Guillermo González Gálvez, Leobardo Sauque Reyna, Miriam Bastidas Adrian, Guillermo Fanghänel Salmón, Ramiro Gutiérrez Ochoa, Luis Nevarez Ruiz, Gabriel Ramos López, Alfredo Chew Wong, Arturo Saldaña Mendoza, Pedro García Hernández, José González González, Melchor Alpizar Salazar, José Lazcano Soto, Amaury, Roman-Miranda, Gregorio, Cortes-Maisonet, Liana, Turcu, Adriana, Dumitrescu, Gabriela, Radulian, Hortensia, Barbonta, Cristina, Mistodie, Georgeta, Vacaru, Alexandrina, Popescu, Adrian, Vlad, Silvia, Paveliu, Nicoleta, Mindrescu, Adrian, Albota, Ella, Pintilei, Lavinia, Pop, Gabriela, Negrisanu, Doina, Catrinoiu, Cornelia, Bala, Amorin, Popa, Iosif, Szilagyi, Ciprian, Constantin, Elena, Caceaune, Adriana, Onaca, Li Yuan Lee, Nor Azizah Aziz, Wan Mohd Izani Wan Mohamed, Wan Hasnul Halimi Bin Wan Hasan, Jeyakantha, Ratnasingam, Nik Nur Fatnoon Nik Ahmad, Rizmy Najme Khir, Norhaliza Mohd Ali, Masni, Mohamad, Chek Loong Loh, Joe, Eustace, John, Holian, Donal, Reddan, Yvonne, O Meara, Mensud, Hatunic, Zuzana, Ochodnicka, Dalibor, Sosovec, Andrej, Dzupina, Ingrid, Buganova, Jana, Babikova, Denisa, Spodniakova, Ruilope, L, Agarwal, R, Anker, S, Bakris, G, Filippatos, G, Nowack, C, Kolkhof, P, Joseph, A, Mentenich, N, Pitt, B, Trevisan, R, Pathology/molecular and cellular medicine, Diabetes Pathology & Therapy, and Diabetes Clinic
Subjects: Male, Endocrinology, Diabetes and Metabolism, Enfermedad cardiovascular, 030232 urology & nephrology, BAY 94-8862, Type 2 diabetes, 030204 cardiovascular system & hematology, Diabete, Kidney, Aparato circulatorio, Azúcar, chemistry.chemical_compound, Mineralocorticoid Receptor Antagonists/therapeutic use, 0302 clinical medicine, Medicine and Health Sciences, Diabetic Nephropathies, Myocardial infarction, Renal Insufficiency, Chronic, Aldosterone, Outcome, Mineralocorticoid Receptor Antagonists, RISK, COMPLICATIONS, Diabetes, Middle Aged, SPIRONOLACTONE, CHRONIC HEART-FAILURE, Treatment Outcome, Mineralocorticoid, Nephrology, Cardiovascular Diseases, Research Design, Disease Progression, Female, medicine.symptom, Cardiology and Cardiovascular Medicine, Type 2, Glomerular Filtration Rate, medicine.medical_specialty, Finerenone, Naphthyridines/therapeutic use, Renal function, Outcomes, 03 medical and health sciences, Clinical, Double-Blind Method, Diabetes mellitus, Internal medicine, medicine, Diabetes Mellitus, Humans, Naphthyridines, Renal Insufficiency, Chronic, ANTAGONIST, Sistema cardiovascular, Aged, Patient-Oriented, Translational Research: Research Article, Diabetic Nephropathies/complications, Renal Insufficiency, Chronic/drug therapy, RECEPTOR, Aldosterone, Clinical, Diabetes, Kidney, Mineralocorticoid, Outcomes, business.industry, Cardiovascular Diseases/epidemiology, Diabetes Mellitus, Type 2/complications, MILD, WORSENING RENAL-FUNCTION, EFFICACY, medicine.disease, chemistry, Diabetes Mellitus, Type 2, Spironolactone, Albuminuria, business, Kidney disease, Follow-Up Studies
Abstract: Background: Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. Patients and Methods: The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate ≥25 mL/min/1.73 m2 and albuminuria (urinary albumin-to-creatinine ratio ≥30 to ≤5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level α = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Conclusions: FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049.
Published: 2019
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26. Hypertension and pregnancy: a French expert consensus to optimize our medical practice

Author: Jean-Marc Boivin, Groupe d’experts : Jacques Amar, Thierry Denolle, Vassilis Tsatsaris, Jean-Pierre Fauvel, Geneviève Plu-Bureau, Jacques Blacher, and Claire Mounier-Vehier
Subjects: Gynecology, medicine.medical_specialty, business.industry, medicine, Medical practice, Expert consensus, Hematology, business
Abstract: Il n’y a pas « une » hypertension au cours de la grossesse mais « des » hypertensions, de mecanismes et de consequences differents pour la mere et le fœtus. L’hypertension arterielle (HTA) chronique est definie par une pression arterielle systolique (PAS) ≥ 140 mm Hg ou une pression arterielle diastolique (PAD) ≥ 90 mm Hg avant la grossesse ou avant la 20e semaine d’amenorrhee (SA). L’HTA gestationnelle est definie par une PAS ≥ 140 mm Hg ou une PAD ≥ 90 mm Hg survenant pendant ou apres la 20e SA. La pre-eclampsie (PE) est l’apparition d’une HTA et d’une proteinurie apres la 20e SA. Une PE severe s’accompagne de signes cliniques temoignant d’une souffrance viscerale. Une PE se developpe dans 1 a 2 % des grossesses, mais beaucoup plus frequemment (jusqu’a 34 %) en presence de facteurs de risque. L’HTA au cours de la grossesse reste, par ses complications, la premiere cause de morbidite et mortalite maternelles. Il n’y a pas de traitement curatif specifique de la PE hormis l’interruption de la grossesse. Le traitement de l’HTA au cours des six premiers mois de grossesse cherche a eviter les complications maternelles de l’HTA sans etre deletere sur le developpement fœtal. Toutes les HTA severes doivent etre traitees. Dans l’HTA legere a moderee, un traitement sera discute chez les patientes a haut risque cardiovasculaire (CV). L’objectif tensionnel est, pour toutes, une PAS inferieure a 160 mm Hg et une PAD comprise entre 85 et 100 mm Hg. A plus long terme, les societes savantes, dont la Societe francaise d’hypertension arterielle (SFHTA) et le College des gynecologues et obstetriciens francais (CNGOF), considerent la PE comme un facteur de risque emergeant specifique d’HTA chronique, d’accidents coronaires, d’accidents vasculaires cerebraux, d’insuffisance renale chronique et de mortalite cardio-neuro-vasculaire. Le risque de complications est d’autant plus important quand des accidents a la fois maternels et fœtaux sont survenus, ou encore precocement pendant la grossesse. Paradoxalement, l’information de ces femmes a risque est insuffisante par meconnaissance et par manque de sensibilisation des professionnels de sante. L’education de ces femmes est un enjeu majeur de prevention, en developpant des consultations d’information et d’annonce au decours de l’accouchement, en les incitant a optimiser leur hygiene de vie avec un suivi coordonne. Dans cet objectif, le consensus francais souligne l’opportunite de mettre en place des parcours de soins structures, qui, outre le suivi de ces femmes, visent a ameliorer les pratiques des professionnels de sante.
Published: 2016
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27. Hypertension artérielle et grossesse. Consensus d’experts de la Société française d’hypertension artérielle, filiale de la Société française de cardiologie

Author: Jacques Amar, Thierry Denolle, Jacques Blacher, Geneviève Plu-Bureau, Vassilis Tsatsaris, Jean-Marc Boivin, Jean-Pierre Fauvel, and Claire Mounier-Vehier
Subjects: medicine.medical_specialty, Pregnancy, 030219 obstetrics & reproductive medicine, business.industry, Care coordinator, MEDLINE, General Medicine, Disease, 030204 cardiovascular system & hematology, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Blood pressure, Increased risk, Obstetrics and gynaecology, Family medicine, medicine, Subsequent pregnancy, business
Abstract: High blood pressure in pregnancy remains, by its complications, the leading cause of morbidity and maternal and fetal mortality. The frequency (5 to 10% of pregnancies) and the potential severity of this disease, both for mother and child, encourage to standardize and to optimize our medical practices. This is the main objective of this work. If the short-term complications for the mother and child are well known, long-term ones for the mother beginning to be better identified (in particular, the risk of recurrence in a subsequent pregnancy, the risk of chronic hypertension and the increased risk of cardiovascular events). The occurrence of hypertension during pregnancy disturbs the "classic" organization of care. Several health professionals are involved, the general practitioner, obstetrician, gynecologist, midwife, cardiologist, nephrologist… There is not always a care coordinator and decisions are sometimes taken with delay. These data encouraged the French Society of Hypertension to write a consensus offering easy and efficient recommendations. Educate women and all health professionals to hypertension and its management, in line with current scientific data, is one of the major challenges of this consensus.
Published: 2016
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28. Hypertensions et grossesse : aspects épidémiologiques, définition

Author: Jean-Pierre Fauvel
Subjects: Gynecology, 03 medical and health sciences, medicine.medical_specialty, 030219 obstetrics & reproductive medicine, 0302 clinical medicine, business.industry, medicine, General Medicine, 030204 cardiovascular system & hematology, business
Abstract: Points essentiels Il n’y a pas une hypertension au cours de la grossesse mais des hypertensions, de mecanismes et de consequences differents pour la mere et le fœtus. L’hypertension arterielle chronique est definie par une PAS ≥ 140 mm Hg ou une PAD ≥ 90 mm Hg avant la grossesse ou avant la 20 e semaine d’amenorrhee (SA). L’hypertension arterielle gestationnelle est definie par une PAS ≥ 140 mm Hg ou une PAD ≥ 90 mm Hg survenant pendant ou apres la 20 e SA. La pre-eclampsie est l’apparition d’une HTA et d’une proteinurie apres 20 SA. Une pre-eclampsie severe s’accompagne de signes cliniques temoignant d’une souffrance viscerale. Le HELLP syndrome est une pre-eclampsie grave s’accompagnant d’une hemolyse intravasculaire et d’une cytolyse hepatique. L’eclampsie se caracterise par des crises convulsives tonico-cloniques. Une hypertension chronique preexistante est observee dans 1 a 5 % des grossesses. Une hypertension gestationnelle sans proteinurie apparait dans 5 a 6 % des grossesses. Une pre-eclampsie se developpe dans 1 a 2 % des grossesses, mais beaucoup plus frequemment (jusqu’a 34 %) en presence de facteurs de risque. L’hypertension arterielle au cours de la grossesse reste, par ses complications, la premiere cause de morbidite et mortalite maternelles.
Published: 2016
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29. [Sexual dysfunction and antihypertensive treatment: Involvement of the different therapeutic classes and what to do about the treatment of hypertension]

Author: Béatrice, Bouhanick, Jacques, Blacher, Eric, Huyghe, Marie Hélène, Colson, Jean-Marc, Boivin, Claire, Mounier-Vehier, Thierry, Denolle, and Jean-Pierre, Fauvel
Subjects: Male, Drug Substitution, Adrenergic beta-Antagonists, Angiotensin-Converting Enzyme Inhibitors, Angiotensin II Type 2 Receptor Blockers, Calcium Channel Blockers, Sexual Dysfunction, Physiological, Cardiovascular Diseases, Risk Factors, Hypertension, Adrenergic alpha-1 Receptor Antagonists, Humans, Diuretics, Antihypertensive Agents, Mineralocorticoid Receptor Antagonists
Abstract: Erectile dysfunction (ED) is not routinely discussed with patients in cardiology practices whereas it may impact the ability of patients to stay on therapy. Most of the studies about ED and antihypertensive therapies have several methodological limitations. Diuretics and beta-blockers have been shown to have a deleterious effect on ED. ISRA inhibitors, calcium antagonists, vasodilator beta-blockers and alpha-blockers have been shown to have a neutral impact on ED. Angiotensin 2 inhibitors, nebivolol and alpha-blockers use has sometimes beneficial effect on ED. In case of ED due to antihypertensive treatment, drugs can be switched each other but careful attention in patients with a high cardiovascular risk is required.
Published: 2019

30. Variables linked to hepatitis B vaccination success in non-dialyzed chronic kidney disease patients: Use of a bayesian model

Author: Guillaume Laurent, Y. Dimitrov, Michel Ducher, Jean-Pierre Fauvel, S. Richter, and M. Kribs
Subjects: Male, medicine.medical_specialty, medicine.medical_treatment, 030232 urology & nephrology, Renal function, Bayesian inference, Logistic regression, 03 medical and health sciences, 0302 clinical medicine, Immunogenicity, Vaccine, Internal medicine, medicine, Humans, Hepatitis B Vaccines, Renal Insufficiency, Chronic, Dialysis, Aged, Aged, 80 and over, business.industry, Bayes Theorem, Hepatitis B, Middle Aged, medicine.disease, Vaccination, Nephrology, Hepatitis b vaccination, Female, business, Kidney disease
Abstract: Background Hepatitis B vaccination is recommended for chronic kidney disease (CKD) patients before starting dialysis. We performed an analyis aimed to describe the clinical and biological parameters related to the success of vaccination in CKD patients before starting dialysis. Methods We extracted data of 170 non-dialyzed patients who were offered hepatitis B vaccination from a register. They received a first vaccination of 40 μg followed by boosters after one, two and six months. Patients were considered protected if their hepatitis B antibody level was > 10 IU/L, three months apart. A logistic regression and a Bayesian model were used to describe the relationships between variables and the success of vaccination. Results Vaccination protected 50.6% of the patients. Model adjustment to the data was higher using the Bayesian model compared to the logistic regression (with area under the ROC curve of 0.955 ± 0.007 vs 0.775 ± 0.066 respectively). The Bayesian model's robustness studied using a 10 fold cross validation showed a percentage of misclassified subjects of 12.4 ± 1.8%, a sensitivity of 87.7 ± 0.3%, a specificity of 87.5 ± 0.3%, a positive predictive value of 87.8 ± 0.3% and negative predictive value of 87.4 ± 0.2%. As classified by the Bayesian model, the variables most related to successful vaccination were, in descending order: age, eGFR, protidemia, albuminemia, cause of renal failure, gender, previous vaccination and weight. Conclusion The Bayesian network confirmed that both kidney function and nutritional status of patients are important factors to explain the success of vaccination against hepatitis B in CKD patients before dialysis. For research purposes, before an external validation, the network can be used online at www.hed.cc/?s=Bhepatitis&n=ReseauhepatiteBsup10.neta .
Published: 2018

31. Management of resistant hypertension: expert consensus statement from the French Society of Hypertension, an affiliate of the French Society of Cardiology

Author: Thierry Denolle, Villeneuve F, B. Vaisse, B. Chamontin, Xavier Girerd, Jean-Pierre Fauvel, Daniel Herpin, Halimi Jm, and Doll G
Subjects: medicine.medical_specialty, Consensus, Combination therapy, medicine.drug_class, Cardiology, Drug Resistance, Blood Pressure, Calcium channel blocker, 030204 cardiovascular system & hematology, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Pharmacotherapy, Risk Factors, Internal medicine, Internal Medicine, Humans, Medicine, 030212 general & internal medicine, Adverse effect, Intensive care medicine, Antihypertensive drug, Contraindication, Antihypertensive Agents, Societies, Medical, Evidence-Based Medicine, business.industry, Treatment Outcome, Blood pressure, chemistry, Hypertension, Spironolactone, Drug Therapy, Combination, France, business, Risk Reduction Behavior
Abstract: To improve the management of resistant hypertension, the French Society of Hypertension, an affiliate of the French Society of Cardiology, has published a set of eleven recommendations. The primary objective is to provide the most up-to-date information based on the strongest scientific rationale and that is easily applicable to daily clinical practice. Resistant hypertension is defined as uncontrolled blood pressure on office measurements and confirmed by out-of-office measurements despite a therapeutic strategy comprising appropriate lifestyle and dietary measures and the concurrent use of three antihypertensive agents including a thiazide diuretic, a renin-angiotensin system blocker (ARB or ACEI) and a calcium channel blocker, for at least 4 weeks, at optimal doses. Treatment compliance must be closely monitored, as must factors that are likely to affect treatment resistance (excessive dietary salt intake, alcohol, depression, drug interactions and vasopressor drugs). If the diagnosis of resistant hypertension is confirmed, the patient should be referred to a hypertension specialist to screen for potential target organ damage and secondary causes of hypertension. The recommended treatment regimen is a combination therapy comprising four treatment classes, including spironolactone (12.5-25 mg per day). In the event of a contraindication or a non-response to spironolactone, or if adverse effects occur, a β-blocker, an α-blocker, or a centrally acting antihypertensive drug should be prescribed. Because renal denervation is still undergoing assessment for the treatment of hypertension, this technique should only be prescribed by a specialist hypertension clinic.
Published: 2016
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32. Reliability of a Bayesian network to predict an elevated aldosterone-to-renin ratio

Author: Jean-Pierre Fauvel, Claire Mounier-Vehier, Bernard Vaisse, Pierre Lantelme, Jean-Philippe Baguet, and Michel Ducher
Subjects: Adult, Male, medicine.medical_specialty, Clinical prediction rule, Logistic regression, Renin-Angiotensin System, chemistry.chemical_compound, Primary aldosteronism, Internal medicine, Hyperaldosteronism, Renin, Renin–angiotensin system, medicine, Humans, Aldosterone, Retrospective Studies, Aldosterone-to-renin ratio, business.industry, Reproducibility of Results, Bayes Theorem, General Medicine, Middle Aged, Stepwise regression, medicine.disease, Surgery, ROC Curve, chemistry, Hypertension, Spironolactone, Female, Cardiology and Cardiovascular Medicine, business
Abstract: Summary Background Resistant hypertension is common, mainly idiopathic, but sometimes related to primary aldosteronism. Thus, most hypertension specialists recommend screening for primary aldosteronism. Aims To optimize the selection of patients whose aldosterone-to-renin ratio (ARR) is elevated from simple clinical and biological characteristics. Methods Data from consecutive patients referred between 1 June 2008 and 30 May 2009 were collected retrospectively from five French ‘European excellence hypertension centres’ institutional registers. Patients were included if they had at least one of: onset of hypertension before age 40 years, resistant hypertension, history of hypokalaemia, efficient treatment by spironolactone, and potassium supplementation. An ARR > 32 ng/L and aldosterone > 160 ng/L in patients treated without agents altering the renin–angiotensin system was considered as elevated. Bayesian network and stepwise logistic regression were used to predict an elevated ARR. Results Of 334 patients, 89 were excluded (31 for incomplete data, 32 for taking agents that alter the renin–angiotensin system and 26 for other reasons). Among 245 included patients, 110 had an elevated ARR. Sensitivity reached 100% or 63.3% using Bayesian network or logistic regression, respectively, and specificity reached 89.6% or 67.2%, respectively. The area under the receiver-operating-characteristic curve obtained with the Bayesian network was significantly higher than that obtained by stepwise regression (0.93 ± 0.02 vs. 0.70 ± 0.03; P Conclusion In hypertension centres, Bayesian network efficiently detected patients with an elevated ARR. An external validation study is required before use in primary clinical settings.
Published: 2015
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33. Decreased plasma prorenin levels in primary aldosteronism

Author: Brahim Harbaoui, Vinciane Paget, C. Berge, Jean-Pierre Fauvel, Fouad Khettab, Pierre Lantelme, Giampiero Bricca, and Pierre-Yves Courand
Subjects: Adenoma, Adult, Male, medicine.medical_specialty, Physiology, education, Secondary hypertension, Essential hypertension, Sensitivity and Specificity, Gastroenterology, Cohort Studies, Primary aldosteronism, Predictive Value of Tests, Surveys and Questionnaires, Internal medicine, Hyperaldosteronism, Renin, Internal Medicine, medicine, Humans, In patient, Prospective Studies, Aldosterone, Pathological, Receiver operating characteristic, business.industry, Middle Aged, Diagnostic strategy, medicine.disease, 3. Good health, Hypertension, Female, Essential Hypertension, Cardiology and Cardiovascular Medicine, business
Abstract: AIM Primary aldosteronism could exert a negative feedback on prorenin secretion, of possibly different magnitude, whether it is related to an aldosterone-producing adenoma (APA) or an idiopathic hyperaldosteronism (IHA). The objectives of this study were to evaluate the level of prorenin in three subgroups: APA, IHA, and essential hypertension; and the performance of the aldosterone-to-prorenin ratio (APR) for the diagnosis of an APA. METHODS Seven hundred and forty-six hypertensive patients with a standardized work-up, including a prorenin measurement, were considered. Ninety-six patients without neutral treatment and 38 patients with other forms of secondary hypertension were excluded. APA and IHA were categorized according to computed tomography scan, adrenal venous sampling, pathological analysis and improvement of hypertension after surgery. RESULTS Thirty-five patients had a diagnosis of APA, 57 of IHA and 504 of essential hypertension. Prorenin was lower in APA and IHA than in essential hypertension (32.9, 40.4 and 50.3 pg/ml, respectively; P
Published: 2015
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34. Prise en charge de l’hypertension artérielle résistante. Consensus d’experts de la Société française d’hypertension artérielle, filiale de la Société française de cardiologie

Author: Thierry Denolle, Frédéric Villeneuve, Jean-Michel Halimi, Jean-Pierre Fauvel, Bernard Chamontin, Daniel Herpin, Xavier Girerd, Bernard Vaisse, and Gérard Doll
Subjects: Medicine(all), Gynecology, medicine.medical_specialty, business.industry, Life style, General practice, Medication adherence, Medicine, Interdisciplinary communication, General Medicine, Cooperative behavior, business
Abstract: RésuméPour améliorer la prise en charge de l’HTA résistante, la Société française d’HTA, filiale de la Société française de cardiologie publie onze recommandations dont l’objectif principal est d’apporter des informations actualisées ayant la meilleure justification scientifique et qui soient applicables dans la pratique quotidienne des professionnels de santé travaillant dans le système de santé français.L’HTA résistante est définie par une pression artérielle non contrôlée en consultation et confirmée par des mesures en dehors du cabinet médical, malgré une stratégie thérapeutique comprenant des règles hygiéno-diététiques adaptées et une trithérapie antihypertensive (diurétique thiazidique, bloqueur du SRA [ARA2 ou IEC] et inhibiteur calcique), depuis au moins 4semaines, à dose optimale.Il convient de rechercher une mauvaise observance et les facteurs qui favorisent la résistance (excès de sel, alcool, dépression et interférences médicamenteuses, substances ayant une action vasopressive).Si l’HTA résistante est confirmée, il est recommandé de demander l’avis d’un spécialiste en HTA pour rechercher une atteinte d’organe cible, une HTA secondaire.La stratégie thérapeutique recommandée est la quadrithérapie incluant la spironolactone (12,5 à 25mg/j). En cas de contre-indication ou de non réponse à la spironolactone, ou en présence d’effets indésirables, il est suggéré de prescrire un bêta-bloquant, ou un alpha-bloquant, ou un antihypertenseur central.L’intérêt de la dénervation rénale étant en cours d’évaluation, il est suggéré que l’indication de cette technique soit posée dans un centre spécialisé en HTA.SummaryTo improve the management of resistant hypertension, the French Society of Hypertension, an affiliate of the French Society of Cardiology, has published a set of eleven recommendations. The primary objective is to provide the most up-to-date information, based on the strongest scientific rationale and which is easily applicable to daily clinical practice for health professionals working within the French health system.Resistant hypertension is defined as uncontrolled blood pressure (BP) both on office measurements and confirmed by out-of-office measurements despite a therapeutic strategy comprising appropriate lifestyle and dietary measures and the concurrent use of three antihypertensive agents including a thiazide diuretic, a renin–angiotensin system blocker (ARB or ACEI) and a calcium channel blocker, for at least four weeks, at optimal doses.Treatment compliance must be closely monitored, as most factors that are likely to affect treatment resistance (excessive dietary salt intake, alcohol, depression and drug interactions, or vasopressors).If the diagnosis of resistant hypertension is confirmed, the patient should be referred to a hypertension specialist to screen for potential target organ damage and secondary causes of hypertension.The recommended treatment regimen is a combination therapy comprising four treatment classes, including spironolactone (12.5 to 25mg/day). In the event of a contraindication or a non-response to spironolactone, or if adverse effects occur, a β-blocker, an α-blocker, or a centrally acting antihypertensive drug should be prescribed.Because renal denervation is still undergoing assessment for the treatment of hypertension, this technique should only be prescribed by a specialist hypertension clinic.
Published: 2014
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35. Can we identify response markers to antihypertensive drugs? First results from the IDEAL Trial

Author: Giampiero Bricca, G Leftheriotis, J.-M. Boivin, Yves Zerbib, Theodora Bejan-Angoulvant, François Gueyffier, A. Mercier, Céline Giraud, Sylvie Erpeldinger, Fabien Subtil, Jean-Philippe Baguet, J P Gagnol, Jean-Pierre Fauvel, and Delphine Maucort-Boulch
Subjects: Adult, Male, medicine.medical_specialty, Time Factors, Population, Angiotensin-Converting Enzyme Inhibitors, 030204 cardiovascular system & hematology, Pharmacology, Placebo, Age and sex, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, Double-Blind Method, Internal medicine, Internal Medicine, Perindopril, Humans, Medicine, Arterial Pressure, 030212 general & internal medicine, Diuretics, education, Antihypertensive Agents, Aged, education.field_of_study, Cross-Over Studies, business.industry, Patient Selection, Indapamide, Age Factors, Mean age, Middle Aged, Crossover study, 3. Good health, Treatment Outcome, Blood pressure, Hypertension, Female, France, business, circulatory and respiratory physiology, medicine.drug
Abstract: Current antihypertensive strategies do not take into account that individual characteristics may influence the magnitude of blood pressure (BP) reduction. Guidelines promote trial-and-error approaches with many different drugs. We conducted the Identification of the Determinants of the Efficacy of Arterial blood pressure Lowering drugs (IDEAL) Trial to identify factors associated with BP responses to perindopril and indapamide. IDEAL was a cross-over, double-blind, placebo-controlled trial, involving four 4-week periods: indapamide, perindopril and two placebo. Eligible patients were untreated, hypertensive and aged 25-70 years. The main outcome was systolic BP (SBP) response to drugs. The 112 participants with good compliance had a mean age of 52. One in every three participants was a woman. In middle-aged women, the SBP reduction from drugs was -11.5 mm Hg (indapamide) and -8.3 mm Hg (perindopril). In men, the response was significantly smaller: -4.8 mm Hg (indapamide) and -4.3 (perindopril) (P for sex differences 0.001 and 0.015, respectively). SBP response to perindopril decreased by 2 mm Hg every 10 years of age in both sexes (P=0.01). The response to indapamide increased by 3 mm Hg every 10 years of age gradient in women (P=0.02). Age and sex were important determinants of BP response for antihypertensive drugs in the IDEAL population. This should be taken into account when choosing drugs a priori.
Published: 2014
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36. Is it useful to repeat an adrenal venous sampling in patients with primary hyperaldosteronism?

Author: Jacques Amar, Béatrice Bouhanick, Jean-Pierre Fauvel, M.-C. Delchier, H. Rousseau, and Bernard Chamontin
Subjects: Adult, Male, medicine.medical_specialty, business.industry, Secondary hypertension, Middle Aged, medicine.disease, Hyperaldosteronism, Adrenal venous sampling, Young Adult, Phlebotomy, Adrenal Glands, Humans, Medicine, Female, In patient, Radiology, Cardiology and Cardiovascular Medicine, business, Aged, Retrospective Studies
Abstract: Adrenal venous sampling (AVS) is a challenging technical procedure and few patients had AVS procedure twice.To evaluate the reproducibility of the AVS, why AVS were repeated and the conclusions drawn from them.From 1997-2012, 12 patients underwent two AVS. A cortisol level in the adrenal vein greater than or equal to 1.1 to inferior vena cava defined a successful catheterization and a lateralization of secretion corresponded to an aldosterone-to-cortisol vein ratio greater than or equal to 2 between the one side to another.The same side of lateralization of secretion was found in 75% of them. The second AVS were due to technical failure (n=4), unproven lateralization (n=2), a lateralization opposite to the main nodule and ipsilateral to hyperplasia (n=4) on first AVS. For two patients, as the CT was normal, AVS was required again. The second AVS was successful in all patients, including those with an initial technical failure but only patient with technical failure underwent surgery, as BP and kaliemia were controlled. Lateralization on the side of hyperplasia or opposite to the biggest nodule was confirmed in two of four cases.When AVS is unsuccessful for technical reasons, it is worth doing it again but after being sure that surgery is still possibly indicated.
Published: 2014
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37. Recommandation: Prise en charge de l’hypertension artérielle de l’adulte

Author: F. Villeneuve, G. M. London, D. Pernin, C. Ghasarossian, Claire Mounier-Vehier, X. Girerd, P. Giral, E. Dupont, Atul Pathak, Philippe Sosner, C. Lemogne, A. Benetos, J. M. Mallion, Bruno Schnebert, Jean-Michel Halimi, J.-P. Nguyen, Thierry Denolle, Benoît Lequeux, Yves Juillière, M. Azizi, Christian Thuillez, A. Protogerou, J.-M. Boivin, Jacques Blacher, S. Kretz, Jean-Jacques Mourad, P. Lacolley, Giampiero Bricca, Emmanuel Pinto, B. Chamontin, Jean-Louis Bedel, Xavier Jeunemaitre, Jean-Philippe Baguet, C. Gury, O. Hanon, Dominique Saillard, J. Ribstein, B. Vaisse, N. Targowla Scandolo, Jean-Pierre Fauvel, D. Herpin, Patrick Fayolle, Stéphane Laurent, Antoine Lemaire, and A. Yannoutsos
Subjects: Cardiology and Cardiovascular Medicine
Published: 2013
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38. Performance of estimated glomerular filtration rates to monitor change in renal function in kidney transplant recipients

Author: Fanny Buron, Emmanuel Morelon, Aoumer Hadj-Aissa, Jean-Pierre Fauvel, and Michel Ducher
Subjects: Adult, Male, medicine.medical_specialty, Inulin, Population, Urology, Renal function, Kidney Function Tests, urologic and male genital diseases, chemistry.chemical_compound, Internal medicine, Humans, Medicine, education, reproductive and urinary physiology, Transplantation, Inulin Clearance, Creatinine, education.field_of_study, urogenital system, business.industry, Middle Aged, medicine.disease, Kidney Transplantation, female genital diseases and pregnancy complications, Confidence interval, Diet, Endocrinology, chemistry, Nephrology, Creatinine Measurement, Female, Kidney Diseases, business, Glomerular Filtration Rate, Kidney disease
Abstract: Glomerular filtration rate estimates (e-GFR) are often used to evaluate the changes in renal function, but have not been validated for this purpose in kidney transplant recipients (KTRs). The aim of this study was to evaluate the validity of e-GFR for monitoring serial changes in renal function in KTR using directly measured GFR by inulin clearance (I-GFR) as the reference standard.Performances of inverse serum creatinine (1/creat) and Cockcroft and Gault, Modification of Diet in Renal Disease, and Chronic Kidney Disease Epidemiology Collaboration formulas were assessed to estimate the changes in I-GFR.A total of 1935 I-GFR clearance procedures were performed in 631 KTRs who underwent serial measurements between 2003 and 2009. The baseline median I-GFR were 51.0 mL/min/1.73 m(2) (confidence interval 95%: 23-84 mL/min/1.73 m(2)]. The performances of 1/creat and formulas for detecting the I-GFR variations between two consecutive measurements (n = 1304) were similar. To detect the variations of20% (increase or decrease), sensitivities ranged between 50 and 56%, and specificities between 64 and 69%. To detect the variations20% (increase or decrease), sensitivities ranged between 27% and 39%, and specificities between 88 and 97%. Bland-Altman plots confirmed the scattering of values for individual patients.In a population of Caucasian KTRs, the mean changes in GFR are correctly estimated whatever the formula used in the range of 23-84 mL/min/1.73 m(2) and can thus be applied in population studies. However, in clinical practice, individual changes in GFR evaluated by formulas should be interpreted with caution in KTRs.
Published: 2013
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39. Clinical nephrology - IgA nephropathy, lupus nephritis, vasculitis

Author: Piero Stratta, David Jayne, Fabio Sallustio, Alina Casian, Jingyuan Xie, Cristiane B. Dias, Serena Simeone, John Feehally, Hong Ren, Patrícia Cotovio, Derya Özmen, Byung Yoon Yang, Harin Rhee, Xiangmei Chen, Rosanna Coppo, Rachel B Jones, Jean Pierre Fauvel, Derya Guler, Hee Yeon Jung, Grazia Serino, Isao Ohsawa, George Efstratiadis, Claire Kennedy, Afroditi Pantzaki, Claudia Yuste, I. De Simone, Jadwiga Małdyk, Michael R. Clarkson, G. B. Visciano, Wenhu Liu, Krzysztof Kiryluk, Shubha Bellur, Beata Bienias, Jing Xu, Carlos Botelho, Özlem Yilmaz, Yuansheng Xie, François Berthoux, Rui Toledo Barros, Ali G. Gharavi, Emilie Kalbacher, Manuel Praga, Wenge Li, Shuwei Duan, Christos Bantis, Chunhua Zhou, Soo Bong Lee, Ligia C. Battaini, F. Ferrario, Noshaba Naz, George Toulkeridis, Cristina Silva, Stratis Kasimatis, Ying Zheng, Kyung Hoon Kim, Owen Kwon, Dóra Bajcsi, Weiming Wang, Viktoria Woronik, Pedro Maia, György Ábrahám, Kálmán Polner, Denis Fouque, Katarzyna Gadomska-Prokop, Yoshio Shimizu, Chan-Duck Kim, Federico Mecacci, Brigitte MacGregor, Sun-Hee Park, Dong Won Lee, Karina Lopes, Shanmai Guo, Rona M Smith, Aikaterini Papagianni, Leticia Jorge, Xiaoxia Pan, Guangyan Cai, Roman Stankiewicz, Il Young Kim, Yavuz Doǧan, Cristina Izzo, Ian Roberts, Hesham Mohey, A. Pani, Zhi-Qiang Huang, Jan Novak, Benedek Ronaszeki, Anindya Banerjee, Mark Canney, Haner Direskeneli, Lide Lun, Michel Ducher, Hakki Arikan, G. Fogazzi, Rui Toledo-Barros, Francesco Paolo Schena, Norella C T Kong, Armando Carreira, Denise Malheiro, Cristina Jironda, Yasuhiko Tomino, Anna Wasilewska, Xuemei Li, Francois Combarnous, Yong-Xi Chen, Myrthes Toledo-Barros, Halim Abdul Gafor, Philip H. Bredin, Ekaterina S Stolyarevich, Bruce A. Julian, Elena Romoli, Eun Young Seong, Jianrong Zhang, Salih Kavukçu, Ryszard Grenda, V. Terraneo, Maria Roszkowska-Blaim, Jie Wu, Koshi Yamada, Maria Júlia Correia Lima Nepomuceno Araújo, Colin Reily, Péter Légrády, Hitoshi Suzuki, Małgorzata Mizerska-Wasiak, Peter A. Merkel, Ihm Soo Kwak, Arzu Velioglu, Serdar Nalcaci, Nan Chen, Elisa Lazzarich, Yusuke Suzuki, Ga Young Park, Giorgio Mello, C. Sarcina, Shamsul Azhar Shah, Elena Zakharova, Sabah Mohamed Alharazy, Roberta Camilla, Satoshi Horikoshi, Marlyn Mohammad, Jin Lee, Yaping Wang, Cristiane Bitencourt Dias, Mehmet Koc, Lectícia Barbosa Jorge, Gurdal Birdal, Mário Campos, Terence Cook, Francisco Ferrer, C. Pozzi, F. Rastelli, Maria Skoularopoulou, Calogero Cirami, Francesco Pesce, Alfons Segarra, Agnieszka Rybi-Szumińska, Pingyan Shen, Luca Vergano, Cetin Ozener, Mrityunjay Hiremath, Jang-Hee Cho, Zsolt Balla, Roberta Fenoglio, Shuwen Liu, Maria Stangou, Hiyori Suzuki, Mamiko Shimamoto, Yeşim Öztürk, Serhan Tuglular, Elisabetta Radin, Małgorzata Zajaczkowska, Liam Plant, Enrico Eugenio Minetti, Rivera F, Marco Quaglia, Zhao-Hui Wang, Stéphan Troyanov, Arbaiyah Bain, Daniel C. Cattran, Yaser Shah, Ya Li, Blandine Laurent, Christophe Mariat, Maria Guedes Marques, Wen Zhang, Béla Iványi, Sharon Cox, Alper Soylu, Min Ji Shin, Laura Morando, Yong-Lim Kim, Xiaoyan Zhang, Seiji Nagamachi, Vivian L. Onusic, Michelle Lewin, Zoltán Rakonczay, Andrea Airoldi, Agnieszka Firszt-Adamczyk, Pamela Gallo, Zina Moldoveanu, Ágnes Haris, Milan Raska, Ji-Young Choi, and Sandor Sonkodi
Subjects: Transplantation, medicine.medical_specialty, Nephrology, business.industry, medicine, Lupus nephritis, Clinical nephrology, medicine.disease, Vasculitis, business, Dermatology, Nephropathy
Published: 2013
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40. Are Triplicate Urine Samples Necessary to Assess Albuminuria?

Author: Philippe Zaoui, Abbas Deeb, Pierre Lantelme, Jean-Pierre Fauvel, David Tartry, Salima Le Penven, and Michel Ducher
Subjects: Male, medicine.medical_specialty, Internationality, Urinalysis, Concordance, Urology, Comorbidity, Urine, Sensitivity and Specificity, Excretion, chemistry.chemical_compound, Double-Blind Method, Risk Factors, Albuminuria, Humans, Medicine, Aged, Morning, Creatinine, medicine.diagnostic_test, business.industry, Incidence, Reproducibility of Results, General Medicine, medicine.disease, Diabetes Mellitus, Type 2, chemistry, Nephrology, Female, Microalbuminuria, medicine.symptom, business
Abstract: Background/Aims: Urinary albumin excretion is subject to intra-individual variability. Thus, for research purposes, it is recommended to test three urine samples collected over a short period of time. The objective of our analysis was to check the usefulness of triplicate samples to determine the albuminuric status of diabetic patients. Methods: We present the results of the non-planned retrospective analysis of 246 triplicate morning urine samples obtained from 95 type 2 diabetics included in three multinational, randomized, double-blind studies. Albuminuria was determined by immunoturbidimetry on fresh samples in the same central laboratory. Microalbuminuria was defined by a urine albumin to creatinine ratio (UACR) between 2.5 and 25 mg/mmol in males and between 3.5 and 35 mg/mmol in females. Concordance was obtained when the second and/or third sample (UACR2 and UACR3) confirmed the albuminuric status obtained from the first sample (UACR1). Results: Considering the first samples, 9% were within the normal range, 35% showed microalbuminuria and 56% showed macroalbuminuria. The overall concordance rate was 95%. The log of UACR was highly correlated between samples. Bland-Altman plots expressed in percent variations between two samples confirmed that the mean variation was low (around 8%) but revealed the scattering of values, 95% being between -60 and +77% of variation between samples. Conclusions: There is no benefit in repeating morning UACR determination in diabetic patients to accurately categorize a subject as having normo-, micro- or macroalbuminuria. However, in order to accurately quantify albuminuria, repeated determinations are required.
Published: 2013
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41. Comparison of a Bayesian Network with a Logistic Regression Model to Forecast IgA Nephropathy

Author: Michel Ducher, Jean Pierre Fauvel, Jérome Finaz de Vilaine, François Combarnous, Emilie Kalbacher, Denis Fouque, and Brigitte McGregor
Subjects: Adult, Male, Article Subject, Biopsy, lcsh:Medicine, Logistic regression, General Biochemistry, Genetics and Molecular Biology, Nephropathy, Bayes' theorem, Statistics, medicine, Humans, Aged, Mathematics, General Immunology and Microbiology, Receiver operating characteristic, lcsh:R, Bayesian network, Bayes Theorem, Glomerulonephritis, IGA, General Medicine, Middle Aged, Prognosis, medicine.disease, Immunoglobulin A, Clinical Practice, Logistic Models, ROC Curve, Clinical Study, Female, Neural Networks, Computer, Glomerulonephritis iga
Abstract: Models are increasingly used in clinical practice to improve the accuracy of diagnosis. The aim of our work was to compare a Bayesian network to logistic regression to forecast IgA nephropathy (IgAN) from simple clinical and biological criteria. Retrospectively, we pooled the results of all biopsies performed by nephrologists in a specialist clinical facility between 2002 and 2009. Two groups were constituted at random. The first subgroup was used to determine the parameters of the models adjusted to data by logistic regression or Bayesian network, and the second was used to compare the performances of the models using receiver operating characteristics (ROC) curves. IgAN was found (on pathology) in 44 patients. Areas under the ROC curves provided by both methods were highly significant but not different from each other. Based on the highest Youden indices, sensitivity reached (100% versus 67%) and specificity (73% versus 95%) using the Bayesian network and logistic regression, respectively. A Bayesian network is at least as efficient as logistic regression to estimate the probability of a patient suffering IgAN, using simple clinical and biological data obtained during consultation.
Published: 2013
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42. Hypertension and pregnancy: expert consensus statement from the French Society of Hypertension, an affiliate of the French Society of Cardiology

Author: Jean-Marc Boivin, Thierry Denolle, Jean-Pierre Fauvel, Geneviève Plu-Bureau, Vassilis Tsatsaris, Claire Mounier-Vehier, Jacques Blacher, and Jacques Amar
Subjects: medicine.medical_specialty, Blood Pressure, Disease, 030204 cardiovascular system & hematology, Preeclampsia, 03 medical and health sciences, 0302 clinical medicine, Obstetrics and gynaecology, Nursing, Pregnancy, Internal medicine, Intervention (counseling), Health care, medicine, Humans, Pharmacology (medical), Antihypertensive Agents, Societies, Medical, Pharmacology, 030219 obstetrics & reproductive medicine, business.industry, Decision Trees, Hypertension, Pregnancy-Induced, Blood Pressure Monitoring, Ambulatory, medicine.disease, Blood pressure, General partnership, Chronic Disease, Practice Guidelines as Topic, Cardiology, Female, France, business
Abstract: High blood pressure in pregnancy remains, by its complications, the leading cause of morbidity and maternal and fetal mortality. The frequency (5 to 10% of pregnancies) and the potential severity of this disease, both for mother and child, encourage to standardize and to optimize our medical practices. This is the main objective of this work. If the short-term complications for the mother and child are well known, long-term ones for the mother beginning to be better identified (in particular, the risk of recurrence in a subsequent pregnancy, the risk of chronic hypertension and the increased risk of cardiovascular events). The occurrence of hypertension during pregnancy disturbs the "classic" organization of care. Several health professionals are involved, the general practitioner, obstetrician, gynecologist, midwife, cardiologist, nephrologist… There is not always a care coordinator and decisions are sometimes taken with delay. These data encouraged the French Society of Hypertension to write a consensus offering easy and efficient recommendations. Educate women and all health professionals to hypertension and its management, in line with current scientific data, is one of the major challenges of this consensus.
Published: 2016

43. Aldosterone-to-renin ratio for diagnosing aldosterone-producing adenoma: A multicentre study

Author: Laurence Perez, Claire Mounier-Vehier, Jean-Pierre Fauvel, Philippe Sosner, Jean-Michel Tartière, Sylvie Régnier-Le Coz, Olivier Jabourek, Jacques Fourcade, Michel Ducher, Arnaud Stolz, Sylvain Lejeune, and Jean-Philippe Baguet
Subjects: Adenoma, Male, medicine.medical_specialty, Supine position, Adrenal Gland Neoplasms, Urology, Hypokaliémie, Aldosterone-to-renin ratio, Aldosterone-producing adenoma, chemistry.chemical_compound, Internal medicine, Renin, medicine, Humans, Adrenal adenoma, Rénine, Prospective Studies, Aldosterone, Hypokalaemia, Aldosteronism, Receiver operating characteristic, business.industry, Rapport aldostérone-rénine, General Medicine, Gold standard (test), Middle Aged, medicine.disease, Hyperaldosteronism, Endocrinology, chemistry, Hypertension, Female, business, Cardiology and Cardiovascular Medicine, Adénome de Conn
Abstract: Summary Background Biological diagnostic criteria for diagnosing aldosterone-producing adenoma (APA) are not well-established. Aim The aim of the study was to establish the best biological predictors of APA. Methods A prospective register was implemented in 17 secondary or tertiary hypertension centres. The inclusion criterion was one of the following: onset of hypertension before 40 years of age; history of hypokalaemia; drug-resistant hypertension (resistant to three drugs); or spironolactone efficiency on BP. Results Among the 338 collected cases, 192 patients had two aldosterone-to-renin ratio (ARR) determinations (after 1 hour supine and at least 1 hour upright) on the same occasion. Twenty-five patients (8.2%) had biological hyperaldosteronism and an adrenal adenoma identified by computed tomography. APA was histologically confirmed in all 12 patients who underwent surgery. Histologically proven APAs were used as the ‘gold standard’ in receiver operating characteristic (ROC) curve analysis. ARRs were computed with a minimum renin value set at 5 ng/L to avoid misclassification of so-called ‘low-renin hypertension’. To predict an APA, the ARR area under the ROC curve was 0.93. A supine ARR cut-off value of 32 ng/ng provided the highest sum of sensitivity (92%) plus specificity (92%). On the basis of an ARR ≥ 32 ng/ng in the supine and/or upright position, sensitivity reached 100%. Conclusion The proposed cut-off value of 32 ng/ng for ARR (minimum renin value set at 5 ng/L) in one of two determinations had 100% sensitivity and 72% specificity with 20% positive and 100% negative predictive values for diagnosing APA.
Published: 2012
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44. Contents Vol. 122, 2012

Author: Sun Woo Kang, Druck Reinhardt Druck Basel, X. Xu, Simone M C Spoorenberg, Nisha Ver Halen, Darren Green, Fangwen Rao, Shotaro Yamano, Sabine C. A. Meijvis, Dimitrios G. Oreopoulos, Willem Jan W. Bos, Masaaki Inaba, Hua Xiao, Shinsuke Fujita, Xinkui Tian, Min Wei, Ankita Patel, Tsukasa Takemura, David I. New, Xing-wei Zhe, Pierre Lantelme, Hugh C. Rayner, Hideki Wanibuchi, Vijayan Suresh, Mitsuru Okada, Z. Zhang, Jean-Pierre Fauvel, Shinya Nakatani, Hitomi Nishi, Subodh J. Saggi, Indranil Dasgupta, Dan Wang, Daniel T. O'Connor, Ying Cheng, Philip A. Kalra, Paweena Susantitaphong, Michel Ducher, Yunkai Bai, Pauling Chu, Wenyi Zhang, Xiaoyan Huang, Tomoki Miyazawa, Philippe Zaoui, Bertrand L. Jaber, Mary C. Perianayagam, Douwe H. Biesma, Yvette Fruchter, Masanori Emoto, James Ritchie, Shinya Fukumoto, Abbas Deeb, Shivana Naidoo, Henk J.T. Ruven, Katsuhito Mori, Jyoti Baharani, Eiji Ishimura, Kuo-Cheng Lu, Cai-Mei Zheng, Daniel Cukor, H. Ni, Gerjan Navis, Steve Smith, Chrysoula Pipili, N. Jin, Alessio Molfino, Tao Wang, Lan Lo, Keisuke Sugimoto, Jan C. Grutters, Chung-Yu Huang, Chia-Chao Wu, Burl R. Don, Satz Mengensatzproduktion, David Tartry, Salima Le Penven, George A. Kaysen, and Yan Wu
Subjects: medicine.medical_specialty, Endocrinology, Traditional medicine, Nephrology, business.industry, Internal medicine, medicine, General Medicine, business
Published: 2012
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45. Estimating Glomerular Filtration Rate in Kidney Transplant Recipients: Performance Over Time of Four Creatinine-Based Formulas

Author: Fanny Buron, Aoumer Hadj-Aissa, Michel Ducher, Jean-Paul Steghens, Jean-Pierre Fauvel, Laurence Dubourg, and Emmanuel Morelon
Subjects: Adult, Male, medicine.medical_specialty, Adolescent, Population, Urology, Renal function, Kidney, urologic and male genital diseases, Models, Biological, Body Mass Index, Young Adult, chemistry.chemical_compound, medicine, Humans, education, reproductive and urinary physiology, Aged, Retrospective Studies, Aged, 80 and over, Transplantation, Creatinine, Inulin Clearance, education.field_of_study, urogenital system, business.industry, Repeated measures design, Gold standard (test), Middle Aged, Models, Theoretical, medicine.disease, Kidney Transplantation, female genital diseases and pregnancy complications, chemistry, Female, business, Glomerular Filtration Rate, Kidney disease
Abstract: Background The management of kidney transplant recipients requires accurate estimate of glomerular filtration rate (GFR). This study aims at evaluating the performance of four creatinine-based formulas for estimating the GFR (estimated GFR) in this population. Methods Performances of Cockcroft and Gault formula, Modification of Diet in Renal Disease (MDRD) simplified formula, Chronic Kidney Disease Epidemiology Collaboration formula, and Nankivell formula were assessed compared with inulin clearance taken as the gold standard for measuring GFR (measured GFR). Performances were assessed using the first measurements of GFR obtained in 1249 subjects. How estimated GFR tracks changes in measured GFR over time since transplantation in those patients with repeated measures was also assessed. Results The MDRD formula provided the best estimate of GFR with a mean bias of -0.5 mL/min/1.73 m, a standard deviation of bias of 12 mL/min/1.73 m, and a 30% accuracy at 85%. The MDRD formula also seemed to provide the best performance for estimating GFR, irrespective of age, stage of renal failure, and in people whose body mass index was more than 18.5 kg/m. This robustness is important in clinical practice. The performance of the four formulas was not modified by the posttransplant period. Conclusion Even if 30% accuracy was suboptimal in the Kidney Disease Outcomes Quality Initiative guidelines, our results, obtained in a large number of patients, lead us to recommend using the MDRD formula to monitor GFR in kidney transplant recipients.
Published: 2011
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46. Contents Vol. 117, 2011

Author: Satz Mengensatzproduktion, X. Toirac, Mitsuo Tanimoto, Jun Chul Kim, Fellype C. Barreto, Xinyue Liang, Anne Riddell, Wolfram J. Jabs, O. Martínez, Giuseppe Garigali, Miaolin Che, Michel Ducher, Carlos D. Flombaum, Markus Meier, Yi Li, Juergen Steinhoff, Glenn Kroog, W. Caballero, Gabriel Choukroun, Martin Nitschke, Z. Nemeth, Je-Wook Chae, Axel Kretschmer, P. Mulet, Katherine Vernon, Jiaqi Qian, I. Mucsi, Chul Woo Yang, Magdalena Kaczmarska, Aude Nollet, M.O. Brook, O. Castellanos, Ilona Kurnatowska, Hye Eun Yoon, Fatiu A Arogundade, J. Chipi, Kenar D. Jhaveri, P. Horonyi, Bo Xie, J. Bacallao, P. Urra, Hyeon Seok Hwang, Joanne Peasegood, P.N. Harden, L. Diéguez, Ziad A. Massy, Ilya G. Glezerman, Michel Brazier, M. Almaguer, M.J. Bottomley, Andrew Davenport, Yasuhiko Tomino, S.K. Agarwal, N. Rodríguez-Triana, Ludomir Stefańczyk, Piotr Grzelak, Chang Seok Song, Abbas Deeb, Hiroaki Io, Byeong-Sung Seo, M.C. Hernández, Joon Chang Song, A. Marton, Shinji Hagiwara, Sarala Naicker, Masako Furukawa, Ivor Katz, G. Deak, Aoumeur Hadj-Aissa, P. Lakatos, Trevor Gerntholtz, Song Xue, Dong-Il Kim, Aurélie Lenglet, Kyu-Beck Lee, C. Ambrus, Zhaohui Ni, I. Kiss, R.M. Licourt, T. James, I. Velásquez, Michel Slama, Yucheng Yan, R. Herrera, Jean-Pierre Fauvel, Colette Chapuis-Cellier, Hyang Kim, Yong Soo Kim, Giovanni B. Fogazzi, C. Almasi, Z. Kiss, Druck Reinhardt Druck Basel, M.Z. Molnar, Michał Nowicki, Peter Lamprecht, Istifanus Bala Bosan, C. Mevada, Jonas Axelsson, K. Berta, A. Kalachik, A. Szabo, Sophie Liabeuf, Bum Soon Choi, Satoshi Horikoshi, and Daniela V. Barreto
Subjects: Traditional medicine, Nephrology, business.industry, Medicine, General Medicine, business
Published: 2011
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47. Estimating Glomerular Filtration Rate

Author: Jean-Pierre Mallié, Rossini Botev, Jack F.M. Wetzels, Natale G. De Santo, Cecilé Couchoud, Nelson Lee, Jean-Pierre Fauvel, Otto Schück, Massimo Cirillo, Botev, R, Mallie, Jp, Couchoud, C, Schuck, O, Fauvel, Jp, Wetzels, Jfm, Lee, N, De Santo, Ng, and Cirillo, M
Subjects: Adult, Male, medicine.medical_specialty, Adolescent, Epidemiology, Inulin, Urology, Renal function, Kidney Function Tests, urologic and male genital diseases, Critical Care and Intensive Care Medicine, Models, Biological, Sensitivity and Specificity, Mean difference, Cohort Studies, Young Adult, chemistry.chemical_compound, Internal medicine, Chronic Kidney Disease, medicine, Humans, Registries, Renal Insufficiency, Chronic, reproductive and urinary physiology, Aged, Renal disorder [IGMD 9], Aged, 80 and over, Transplantation, Entire population, Inulin Clearance, Creatinine, urogenital system, business.industry, Limits of agreement, Reproducibility of Results, Middle Aged, medicine.disease, female genital diseases and pregnancy complications, Diet, Endocrinology, chemistry, Nephrology, Female, business, Glomerular Filtration Rate, Kidney disease
Abstract: Item does not contain fulltext BACKGROUND AND OBJECTIVES: Evaluation of renal function by estimation of the glomerular filtration rate (GFR) is very important for the diagnosis and treatment of patients with chronic kidney disease (CKD). The Cockcroft-Gault (CG) and Modification of Diet in Renal Disease (MDRD) formulas are the most commonly used estimations. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Estimated GFR values by each formula were compared with measured GFR (mGFR) by renal inulin clearance in 2208 European adults (46% women, 1.4% Caribbean blacks), with and without CKD, and mean mGFR 72.4 +/- 39.0 (range 2.2 to 177.2) ml/min/1.73 m(2). RESULTS: Overall, the CG and MDRD formulas showed bias (mean difference) -3.5 ml/min/1.73 m(2) (5.3%), P < 0.001, and -9.8 ml/min/1.73 m(2) (-6.4%), P < 0.001; precision (SD of bias) 21.5 ml/min/1.73 m(2) (43.1%) and 20.0 ml/min/1.73 m(2) (33.0%); limits of agreement (2 SD by Bland-Altman method) 39.5 to -46.5 (range 86.0) ml/min/1.73 m(2) and 30.2 to -49.8 (range 80.0) ml/min/1.73 m(2); and accuracy within +/-30% of mGFR 70.8 and 69.0%, respectively. Both formulas showed a trend for decreasing accuracy with lower mGFR levels. According to the Kidney Disease Outcomes Quality Initiative (K/DOQI)-CKD classification's five GFR groups, the CG and MDRD formulas properly assigned 61.6 and 57.1% of the entire population and had a range of positive predictive values 42.6 to 81.8% and 39.6 to 85.2% and of negative predictive values 81.7 to 96.6% and 76.4 to 97.5%, respectively. CONCLUSIONS: The CG and MDRD formulas had some limitations for proper GFR estimation and K/DOQI-CKD classification by GFR levels alone.
Published: 2009
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48. Auteurs

Author: Jean-Yves, Artigou, Jean-Jacques, Monsuez, Bernard, Bauduceau, Jacques, Blacher, Didier, Carrié, Ariel, Cohen, Martine, Gilard, Albert, Hagège, Sébastien, Hascoet, Richard, Isnard, Bernard, Iung, Yves, Juillière, Philippe, Lechat, Antoine, Leenhardt, Damien, Metz, Emmanuel, Messas, Jean-François, Obadia, Florence, Pinet, Raymond, Roudaut, Éric, Abergel, Saroumadi, Adavane-Scheuble, Salma, Adham, Julien, Adjedj, Bernard, Albat, Vincent, Algalarrondo, Véronique, Alibert, Sophie, Allepaerts, Pierre, Alric, Nicolas, Amabile, Laurence, Amar, Pascal, Amedro, Yann, Ancedy, Jean-Noël, Andarelli, Clémentine, André, Ramaroson, Andriantsitohaina, Denis, Angoulvant, Frédéric, Anselme, Hélène, Ansquer, Jean-Baptiste, Anzouan-Kackou, Aïcha, Aouad, Florence, Arnoult, Nicolas, Arribard, André, Atallah, Pierre, Aubry, Jean-François, Aupetit, Marie, Aymami, Armand, Aymard, Michel, Azizi, Dominique, Babuty, Magnus, Bäck, Jean-Philippe, Baguet, Fanny, Bajolle, Stéphanie, Baron, Stéphanie, Barrère-Lemaire, Alban-Elouen, Baruteau, Nils, Basillais, Alberto, Battaglia, Clément, Batteux, Florence, Beauvais, Pierrick, Bedouch, Theodora, Bejan-Angoulvant, Hasnaa, Belghiti, Reda, Belhaj Soulami, Emre, Belli, Sabrina, Ben Ahmed, Nesma, Bendagha, Myriam, Bensemlali, Alain, Berdeaux, Claire, Bertail-Galoin, Emmanuelle, Berthelot, Francis, Bessière, Isabelle, Bidaud, Loïc, Bière, Nicolas, Bihry, Jean-Pierre, Binon, Annouk, Bisdorff-Bresson, Arnaud, Bisson, Franck, Boccara, Olivia, Boccara, Thomas, Bochaton, Diane, Bodez, Angèle, Boet, Yohann, Bohbot, Catherine, Boileau, Laurent, Bonello, Éric, Bonnefoy, Lyse, Bordier, Jacques, Boschat, Gilles, Bosser, Béatrice, Bouhanick, Sarrah, Boukthir, Claire, Bouleti, Karl, Bounader, Pierre, Bourgoin, Pierre, Boutouyrie, Hélène, Bouvaist, Ebba, Brakenhielm, Philippe, Brenot, François, Brigadeau, Richard, Brion, Éric, Brochet, Amaury, Broussier, Sok-Sithikun, Bun, Alessandra, Bura-Riviere, David, Calvet, Ludovic, Canaud, Florence, Canoui-Poitrine, François, Carré, Vincent, Cattoir, Guillaume, Cayla, Pascal, Challande, Stéphane, Champiat, Alain, Chantepie, Bernard, Chanu, Sandrine, Charpentier, Philippe, Charron, Marion, Chauvet-Droit, Michel, Chauvin, Charles, Cheng, Mohamed, Chettibi, Philippe, Chevalier, Hélène, Chiavelli, Sidney, Chocron, Caroline, Chopinet-Degrugillier, Alexandre, Cinaud, Vittorio, Civelli, Nicolas, Clémenty, Alexandre, Cochet, Sarah, Cohen, Alain, Cohen-Solal, Jean-Philippe, Collet, Nicolas, Combes, Xavier, Copie, Hervé, Corbineau, Mihaela, Cordeanu, Bertrand, Cormier, Erika, Cornu, Yves, Cottin, Pierre-Yves, Courand, Jean-Luc, Cracowski, Antoine, Cremer, Bertrand, Crozatier, Caroline, Cueff, Fabio, Cuttone, Marie-Pia, d'Ortho, Antoine, Da Costa, Thibaud, Damy, Christian, De Chillou, Pascal, De Groote, la Villéon Grégoire, De, Pascal, Defaye, Jean-Claude, Deharo, François, Delahaye, Xavier, Delavenne, Claude, Delcayre, Antoine, Delinière, Clément, Delmas, Jean-Guillaume, Delpey, Pascal, Delsart, Isabelle, Denjoy, Thierry, Denolle, Jean-Pol, Depoix, François, Derimay, Geneviève, Derumeaux, Michel, Desnos, Jean-François, Deux, Isabelle, Di Centa, Sylvie, Di Filippo, Romain, Didier, Marina, Dijos, Jean-Guillaume, Dillinger, Marie-Lou, Dinet, Olivia, Domanski, Valérie, Domigo, Erwan, Donal, Hervé, Douard, Caroline, Dourmap, Denis, Duboc, Émilie, Dubois-Deruy, Olivier, Dubourg, Virginie, Dufrost, Yves, Dulac, Patrick, Dupouy, Xavier, Duval, Stéphane, Ederhy, Fedoua, El Louali, Meyer, Elbaz, Ludivine, Eliahou, Joseph, Emmerich, Laura, Ernande, Fabrice, Extramiana, Elie, Fadel, Laurent, Fauchier, Jean-Pierre, Fauvel, Antoine, Fayol, Jean-Luc, Fellahi, Émile, Ferrari, Marc, Ferrini, Marie, Fertin, Pierre, Fesler, Gérard, Finet, Erwan, Flécher, David, Fouassier, Virginie, Fouilloux, Jean-Marc, Frapier, Alain, Furber, Sébastien, Gaertner, Vincent, Galand, Arnault, Galat, Michel, Galinier, Thomas, Gandet, Estelle, Gandjbakhch, Rania, Gargouri, Anne, Garnier, Jérôme, Garot, Gauthier, Garret, Arthur, Gavotto, Etienne, Gayat, Dominique, Germain, Pierre, Gibelin, Paule, Gimenez-Roqueplo Anne, François, Godart, François, Goehringer, Sylvie, Gonzalez, Francisco, Gonzalez-Barlatay, Philippe, Gosse, Guillaume, Goudot, Jean-Baptiste, Gourraud, Marielle, Gouton, Daniel, Grinberg, Robert, Grolleau-Raoux, Yves, Gruel, Etienne, Grunenwald, Laurence, Guédon-Moreau, Soulef, Guendouz, Pascal, Guéret, Patrice, Guérin, Loïc, Guillevin, Philippe, Guilpain, Aitor, Guitarte, Gilbert, Habib, Khaled, Hadeed, Philippe, Hainaut, Jean-Michel, Halimi, Xavier, Halna Du Fretay, Quentin, Hauet, Tristan, Hazelzet, Gérard, Helft, Daniel, Henrion, Patrick, Henry, Françoise, Hidden-Lucet, Dominique, Himbert, Bruno, Hoen, Ali, Houeijeh, Jean-Pierre, Houppe, Lucile, Houyel, Fabien, Huet, Justine, Hugon-Rodin, Marc, Humbert, Olivier, Huttin, Fabien, Hyafil, Jocelyn, Inamo, Pauline, Issaurat, Mélanie, Jeanmichel, Guillaume, Jondeau, Adrien, Joseph, Patrick, Jourdain, Xavier, Jouven, Laurent, Juillard, Jean-Michel, Juliard, Clément, Karsenty, Kelly Robert, G., Lina, Khider, Didier, Klug, Michel, Komajda, Claude, Kouakam, Serge, Kownator, Florence, Kyndt, Fabien, Labombarda, Louis, Labrousse, Alain, Lacampagne, Patrick, Lacolley, Philippe, Lacroix, Magalie, Ladouceur, Stéphane, Lafitte, Jérémy, Laïk, Marc, Laine, Olivier, Lairez, Nicolas, Lamblin, Steve, Lancel, Patrizio, Lancellotti, Thierry, Langanay, Emmanuel, Lansac, Pierre, Lantelme, Violaine, Laparra, François-Xavier, Lapebie, Anne-Laure, Laprérie, Jihed, Laribi, Gilles, Lascault, Gabriel, Laţcu Decebal, Benoît, Lattuca, Claude, Laurian, Daniela, Laux, Mathieu, Le Bloa, Emmanuel, Le Bret, Claude, Le Feuvre, Laurianne, Le Gloan, Jean-Yves, Le Heuzey, Jérôme, Le Pavec, Céleste, Le Roux, Thierry, Le Tourneau, Guillaume, Lebreton, Jean-Michel, Lecerf, Christophe, Leclercq, Thibault, Leclercq, Guillaume, Ledieu, Bruno, Lefort, Alain, Leguerrier, Bernard, Lelong, Hélène, Lelong, Valentine, Léopold, Antoine, Lepillier, Pascal, Leprince, Lionel, Leroux, Maurice, Levy, Thibault, Lhermusier, Pascal, Lim, Damien, Logeart, Gervaise, Loirand, Marilucy, Lopez-Sublet, Aurélien, Lorthioir, Philippe, Mabo, Anne-Laure, Madika, Isabelle, Magnin-Pouli, Isabelle, Mahe, Lorraine, Maitrot-Mantelet, Alice, Maltret, Elia, Mangoni Matteo, Nicolas, Mansencal, Jacques, Mansourati, Pascale, Maragnes, Bertrand, Marcheix, Stella, Marchetta, Sylvestre, Maréchaux, Ariane, Marelli, Alexandre, Maria, Eloi, Marijon, Christelle, Marquié, Carmen, Martinez M., Raphaël, Martins, Jean-Louis, Mas, Stefan, Matecki, Amel, Mathiron, Pierre, Mauran, Philippe, Maury, Alexandre, Mebazaa, Philippe, Ménasché, Nicolas, Meneveau, Jean-Jacques, Mercadier, Pietro, Mesirca, Anne, Messali, Alexandre, Métras, Olivier, Metton, Christophe, Meune, Takouhie, Mgrditchian, Olivier, Milleron, Sarah, Millot, Lucile, Miquerol, Patrick, Mismetti, Julia, Mitchell, Jean-Pierre, Monassier, Jean-Luc, Monin, Pierre-Emmanuel, Morange, Adrien, Moreau, Anne, Moreau De Bellaing, Meriem, Mostefa Kara, Pascal, Motreff, Basile, Mouhat, Manon, Moulis, Claire, Mounier-Vehier, Frédéric, Mouquet, Jean-Jacques, Mourad, Arnold, Munnich, Joël, Nargeot, Philippe, Nguyen, Pascal, Nhan, Robert, Nicodème, Sandro, Nini, Jacky, Nizard, Antoine, Noël, Emmanuel, Noly Pierre, Karine, Nubret, Silvia, Oghina, Jean-Pierre, Ollivier, Olivier, Ormezzano, Caroline, Ovaert, Michel, Ovize, Franck, Paganelli, Luc, Pasquié Jean, Dominique, Pavin, Bruno, Pavy, Olivier, Paziaud, Julien, Peltan, Mathieu, Pernot, Francis, Pesteil, Jérôme, Petit, Pierard Luc, A., Bertrand, Pierre, Olivier, Piot, Jérôme, Piquereau, Nicolas, Piriou, Geneviève, Plu Bureau, Hélène, Pluchart, Baptiste, Polin, Thibaut, Pommier, Margaux, Pontailler, Jean, Porterie, Charlotte, Potelle, Françoise, Pousset, Matteo, Pozzi, Vincent, Pradeau, Pascal, Priollet, Vincent, Probst, Fabrice, Prunier, Brigitte, Raccah-Tebeka, Marc, Radermecker, Véronique, Regnault, Matthieu, Revest, Jean, Ribstein, Marlène, Rio, Gilles, Rioufol, Luc, Rochette, Anne, Rollin, Mauro, Romano, Agnès, Rötig, François, Roubille, Gérald, Roul, Jean-Christian, Roussel, Matthieu, Roustit, Simon, Rouze, François, Rouzet, Frederic, Sacher, Audrey, Sagnard, Jane-Lise, Samuel, Nadir, Saoudi, Marc, Sapoval, Vincent, Sauzeau, Laurent, Savale, Jean-Marc, Sellal, Christine, Selton-Suty, Jean-Michel, Sénard, Pierre, Seners, Florence, Sens, Marie-France, Seronde, Ardalan, Sharifzadehgan, Georgios, Sideris, François, Silhol, Jean-Sébastien, Silvestre, Aïda, Soufiani, Laurie, Soulat-Dufour, Géraud, Souteyrand, Olivier, Steichen, Dominique, Stephan, Pierre, Suchon, Elodie, Surget, Pierre, Tattevin, Jean-Benoît, Thambo, Arthur, Thery, Hélène, Thibault, Aurélie, Thollet, Daniel, Thomas, Julie, Thomas-Chabaneix, Nicolas, Tiberghien, Jacques, Tomasi, Claire, Toquet, Angelo-Giovanni, Torrente, Guillaume, Treulet, Christophe, Tribouilloy, Jean-Noël, Trochu, Sarah, Tubiana, Annie, Turkieh, William, Uhlrich, Marina, Urena, Bernard, Vaisse, Alexandre, Vallée, Caroline, Vayne, Géraldine, Vedrenne, Vladimir, Veksler, Clément, Venner, Renée, Ventura-Clapier, Bruno, Vergès, Mathieu, Vergnat, Clémence, Vernay, Céline, Verstuyft, Emmanuelle, Vidal-Petiot, Stéphane, Vignes, Marc, Villaceque, Olivier, Villemain, Marie, Vincenti, Cécile, Vindis, Gaetano, Vitale, Jean-Jacques, Von Hunolstein, Pascal, Vouhé, Karim, Wahbi, Denis, Wahl, Xavier, Waintraub, Karine, Warin Fresse, Alexandra, Yannoutsos, Hermann, Yao, Samuel, Zarka, Michel, Zeitouni, Marianne, Zeller, Laetitia, Zerkowski, and Stéphane, Zuily
Published: 2020
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49. Microalbuminurie et excrétion urinaire d'albumine: recommandations pour la pratique clinique

Author: Jean-Yves Artigou, G Berrut, Henri Gin, Jean-Michel Halimi, Jean-Pierre Fauvel, Alain Nitenberg, Paul Valensi, M. Beaufils, Samy Hadjadj, E. Rusch, Jean-Charles Renversez, D. Cordonnier, Victor Aboyans, and François-André Allaert
Subjects: Gynecology, medicine.medical_specialty, Multicenter study, Nephrology, business.industry, medicine, business
Abstract: Resume Le dosage de l'excretion urinaire d'albumine (EUA) peut se faire sur un echantillon urinaire sur les premieres urines du matin, sur les urines de 24 heures ou sur prelevement urinaire minute. Les valeurs definissant la microalbuminurie sont : urines de 24 heures : 30–300 mg/24 h ; echantillon urinaire : 20–200 mg/ml ou 30–300 mg/g creatinine urinaire ou 2,5–25 mg/mol (chez l'homme), ou 3,5–35 mg/mol (chez la femme) creatinine urinaire ; echantillon urinaire minute : 20–200 μg/min. La place du dosage semi-quantitatif (bandelettes) n'est pas clairement definie. La microalbuminurie est consideree comme un reflet d'une atteinte generalisee de l'endothelium, mais ce n'est pas demontre. Chez le sujet diabetique La microalbuminurie est un marqueur independant de risque cardiovasculaire (CV), renal et de mortalite totale chez les diabetiques de type 1 et 2. L'augmentation de l'EUA au cours du temps est un marqueur de risque CV et renal chez le diabetique de type 1 ; sa regression est associee a une regression de ces risques. Chez le sujet non diabetique La microalbuminurie est un marqueur independant de risque CV, de risque de diabete, d'alteration de la fonction renale et de mortalite totale. Elle est un marqueur de risque de developper une hypertension arterielle chez le sujet normotendu et un marqueur de risque d'evolution defavorable, ou de deces au cours de cancers et de lymphomes. L'elevation ou la persistance d'une EUA elevee au cours du temps est associee a un pronostic pejoratif chez certains hypertendus. La mesure d'EUA peut etre recommandee chez certains hypertendus ayant un ou deux facteurs de risque CV associes dont le risque CV semble mal evalue ou ayant une hypertension arterielle (HTA) refractaire : la microalbuminurie indique ici un risque CV eleve et incite a assurer un controle tensionnel strict. Il y a peu d'etudes chez les sujets non hypertendus et non diabetiques ; elles suggerent globalement que la microalbuminurie est un facteur de comorbidite et de mauvais pronostic comme chez les sujets hypertendus ou diabetiques. En prevention secondaire, la microalbuminurie est un marqueur de risque independant, mais n'a pas de retombees therapeutiques specifiques. Il n'est pas recommande de rechercher systematiquement une microalbuminurie chez le sujet non hypertendu, non diabetique, sans antecedent de maladie renale. Il est recommande d'effectuer une surveillance de la fonction renale annuelle (excretion urinaire d'albumine creatininemie et estimation du debit de filtration glomerulaire) chez les sujets microalbuminuriques. Therapeutique Chez tout patient ayant une microalbuminurie : reduction ponderale et de l'apport sode excessif ( chez le diabetique , prescription d'un inhibiteur de l'enzyme de conversion (diabete de type 1) ou d'un antagoniste des recepteurs de l'angiotensine 2 (diabete de type 2) a dose suffisante en premiere intention. Les diuretiques thiazidiques ont un effet synergique avec les bloqueurs du systeme renine angiotensine sur la reduction de l'EUA ; chez le non diabetique , les cinq grandes classes d'antihypertenseurs (IEC, ARA2, diuretiques, antagonistes calciques, betabloquants) sont utilisables en premiere intention.
Published: 2007
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50. Aging Process on Spectrally Determined Spontaneous Baroreflex Sensitivity

Author: Jean-Pierre Fauvel, Michel Ducher, Ignace Mpio, and Catherine Cerutti
Subjects: Adult, Male, Senescence, Aging, medicine.medical_specialty, Stress effects, Beat (acoustics), Blood Pressure, Baroreflex, Heart Rate, Internal medicine, Mental stress, Internal Medicine, Humans, Medicine, Spectral analysis, Longitudinal Studies, Prospective Studies, Prospective cohort study, business.industry, fungi, Reproducibility of Results, Middle Aged, Blood pressure, Anesthesia, Cardiology, business
Abstract: The interindividual age-related decrease in baroreflex sensitivity (BRS) was reported in many cross-sectional studies. However, the long-term intraindividual decrease in BRS has never been confirmed by longitudinal studies. Data obtained from a 5-year prospective study designed to assess the 5-year stress effects on blood pressure (BP) provided the opportunity to assess longitudinal aging process on spectrally determined BRS (S-BRS) using the cross spectral analysis. This analysis was carried out in 205 men aged between 18 and 50 years who had 2 valid beat to beat BP recordings (Finapress) at a mean 5-year interval. At inclusion and at end of follow-up, S-BRS was significantly correlated with age ( r =−0.50, P r =−0.33, P
Published: 2007
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