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1. Association between adherence to the mediterranean diet, physical activity, and sleep apnea-hypopnea syndrome (SAHS) in a middle-aged population with cardiovascular risk: Insights from the ILERVAS cohort

Author

Salinas-Roca, Blanca, Sánchez, Enric, Bermúdez-López, Marcelino, Valdivielso, José Manuel, Farràs-Sallés, Cristina, Pamplona, Reinald, Torres, Gerard, Mauricio, Dídac, Castro, Eva, Fernández, Elvira, Hernández, Marta, Rius, Ferran, and Lecube, Albert

Published
2024
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2. Low adherence to the Mediterranean diet is associated with increased prevalence and number of atherosclerotic plaques in the ILERVAS cohort

Author

Miquel, Eva, Ortega, Marta, Barbé, Ferran, González, Jessica, Barril, Silvia, Sánchez-de-la-Torre, Manuel, Portero-Otín, Manuel, Jové, Mariona, Hernández, Marta, Rius, Ferran, Godoy, Pere, Alonso, Montse Martinez, Rojo-López, Marina Idalia, Bermúdez-López, Marcelino, Castro, Eva, Farràs, Cristina, Torres, Gerard, Pamplona, Reinald, Lecube, Albert, Valdivielso, José Manuel, Fernández, Elvira, Julve, Josep, Castelblanco, Esmeralda, Franch-Nadal, Josep, Alonso, Núria, Granado-Casas, Minerva, and Mauricio, Dídac

Published
2023
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6. Low adherence to the Mediterranean diet is associated with increased prevalence and number of atherosclerotic plaques in the ILERVAS cohort

Author

Rojo-López, Marina Idalia, primary, Bermúdez-López, Marcelino, additional, Castro, Eva, additional, Farràs, Cristina, additional, Torres, Gerard, additional, Pamplona, Reinald, additional, Lecube, Albert, additional, Valdivielso, José Manuel, additional, Fernández, Elvira, additional, Julve, Josep, additional, Castelblanco, Esmeralda, additional, Franch-Nadal, Josep, additional, Alonso, Núria, additional, Granado-Casas, Minerva, additional, Mauricio, Dídac, additional, Miquel, Eva, additional, Ortega, Marta, additional, Barbé, Ferran, additional, González, Jessica, additional, Barril, Silvia, additional, Sánchez-de-la-Torre, Manuel, additional, Portero-Otín, Manuel, additional, Jové, Mariona, additional, Hernández, Marta, additional, Rius, Ferran, additional, Godoy, Pere, additional, and Alonso, Montse Martinez-, additional

Published
2023
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8. Cumulative tobacco consumption has a dose-dependent effect on atheromatosis burden and improves severe atheromatosis prediction in asymptomatic middle-aged individuals: The ILERVAS study

Author

Bermúdez-López, Marcelino, primary, Martí-Antonio, Manuel, additional, Castro-Boqué, Eva, additional, Bretones, María del Mar, additional, Farràs, Cristina, additional, Gonzalez, Jessica, additional, Pamplona, Reinald, additional, Lecube, Albert, additional, Mauricio, Dídac, additional, Cambray, Serafi, additional, Valdivielso, José Manuel, additional, Fernández, Elvira, additional, Miquel, Eva, additional, Ortega, Marta, additional, Barbé, Ferran, additional, de Batlle, Jordi, additional, Barril, Silvia, additional, Sánchez-de-la-Torre, Manuel, additional, Portero-Otín, Manuel, additional, Jové, Mariona, additional, Hernández, Marta, additional, Rius, Ferran, additional, Franch-Nadal, Josep, additional, Castelblanco, Esmeralda, additional, Godoy, Pere, additional, and Martinez-Alonso, Montse, additional

Published
2023
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9. Shedding light on sewer pipes : deep learning perception approaches for autonomous sewer robots

Author

Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Mirats Tur, Josep Maria, Casas, Marc, Angulo Bahón, Cecilio, Plana Rius, Ferran, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Mirats Tur, Josep Maria, Casas, Marc, Angulo Bahón, Cecilio, and Plana Rius, Ferran

Abstract

Tesi amb menció de Doctorat Industrial, (English) Sewerage is a vital infrastructure for society’s day-to-day life. Its maintenance is a priority and current European legislation increases the demand of a proper inspection. Being a complex access and dangerous environment, it complicates its inspection. Using teleoperated robots, a video of its interior is obtained. However, the operator report is highly subjective. The company INLOC Robotics SL offers a solution to make an automatic report using CCTV videos called SEWDEF. This thesis focuses on improving this system by focusing efforts on the integrated Convolutional Neural Networks (CNN). In this sense, we explore how CNNs work, putting efforts to understand how information is encoded within them. How they learn, what they learn and how to improve it. In the analysis carried out we realize that CNNs are not used to their full potential. There are several causes for that, from the lack of data to the CNN architecture used. However, in this thesis we aim to optimize the available data and CNN. In order to achieve this goal, the field of Curriculum Learning (CL) is explored. This field proves that by alternating the order in which images are fed to the training loop, results can be improved compared to a standard training regim. Exploring this idea, the Tracking Networks Self-Curriculum (TNSC) method is designed. It consists on training networks called Tracking Networks that help us find out in which order images are learned. This order can be used as a samples’ difficulty measure and thus design a curriculum to train CNNs. Tested networks results improve, confirming that in the sewer field CL techniques are applicable. However, the method is complex and does not solve the situation for all the tested defects. For this reason the latent space is explored. The latent space is a high dimensional space that belongs to the CNN top layers, before the prediction layer. In this space we find encoded and compressed information about the input image characteristics, (Català) El clavegueram és una infraestructura vital per al dia a dia de la societat. El seu manteniment és prioritari i legislacions actuals en l'àmbit Europeu incrementen les exigències d'una bona inspecció. Sent un entorn d'accés complex i perillós, complica la seva inspecció. Mitjançant robots teleoperats s'aconsegueix un vídeo del seu interior. Ara bé, el report elaborat per l'operador és altament subjectiu. L'empresa INLOC Robotics SL ofereix una solució per realitzar un report automàtic mitjançant els vídeos CCTV anomenat SEWDEF. Aquesta tesi se centra en la millora d'aquest sistema focalitzant els esforços en les Convolutional Neural Networks (CNN) integrades. En aquest sentit, s'explora el funcionament de les CNN, posant els esforços a entendre com la informació és codificada dins d'aquestes. Com aprenen, què aprenen i com millorar-ho. En l'anàlisis realitzat ens adonem compte que les CNN no s'usen amb tot el seu potencial. Les causes són diverses, des de falta de dades a l'arquitectura de la CNN utilitzada. Tanmateix, en aquesta tesi ens marquem com a objectiu l'optimització de les dades i la CNN disponibles. Per tal d'aconseguir aquesta fita s'explora el camp del Curriculum Learning (CL). Dins aquest camp es prova que alternant l'ordre en que les imatges són alimentades al llaç d'entrenament, es poden millorar els resultats comparant amb un entrenament clàssic. Explorant aquesta idea es dissenya el mètode Tracking Networks Self-Curriculum (TNSC). Aquest consisteix a entrenar unes xarxes anomenades Tracking Networks que ens ajuden a esbrinar en quin ordre les imatges són apreses. Aquest ordre es pot usar com a mesura de dificultat de les mostres i així dissenyar un currículum per entrenar CNNs. Els resultats de les xarxes triades milloren, confirmant que en el camp del clavegueram tècniques CL són aplicables. No obstant el mètode és complex d'aplicar i no soluciona la situació per a tots els defectes testejats. En aquest sentint decidim explorar l'espai la, Postprint (published version)

Published
2023

11. Autoencoders for semi-supervised water level modeling in sewer pipes with sparse labeled data

Author

Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement, Plana Rius, Ferran, Philipsen, Mark P., Mirats Tur, Josep Maria, Moeslund, Thomas, Angulo Bahón, Cecilio, Casas, Marc, Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement, Plana Rius, Ferran, Philipsen, Mark P., Mirats Tur, Josep Maria, Moeslund, Thomas, Angulo Bahón, Cecilio, and Casas, Marc

Abstract

More frequent and thorough inspection of sewer pipes has the potential to save billions in utilities. However, the amount and quality of inspection are impeded by an imprecise and highly subjective manual process. It involves technicians judging stretches of sewer based on video from remote-controlled robots. Determining the state of sewer pipes based on these videos entails a great deal of ambiguity. Furthermore, the frequency with which the different defects occur differs a lot, leading to highly imbalanced datasets. Such datasets represent a poor basis for automating the labeling process using supervised learning. With this paper we explore the potential of self-supervision as a method for reducing the need for large numbers of well-balanced labels. First, our models learn to represent the data distribution using more than a million unlabeled images, then a small number of labeled examples are used to learn a mapping from the learned representations to a relevant target variable, in this case, water level. We choose a convolutional Autoencoder, a Variational Autoencoder and a Vector-Quantised Variational Autoencoder as the basis for our experiments. The best representations are shown to be learned by the classic Autoencoder with the Multi-Layer Perceptron achieving a Mean Absolute Error of 9.93. This is an improvement of 9.62 over the fully supervised baseline., Peer Reviewed, Postprint (published version)

Published
2022

12. Weak Association between Skin Autofluorescence Levels and Prediabetes with an ILERVAS Cross-Sectional Study

Author

Sánchez, Enric, primary, Kerkeni, Mohsen, additional, Hernández, Marta, additional, Gavaldà, Ricard, additional, Rius, Ferran, additional, Sauret, Ariadna, additional, Torres, Gerard, additional, Bermúdez-López, Marcelino, additional, Fernández, Elvira, additional, Castro-Boqué, Eva, additional, Purroy, Francisco, additional, Mauricio, Dídac, additional, Farràs-Sallés, Cristina, additional, Buti, Miquel, additional, Godoy, Pere, additional, Pamplona, Reinald, additional, and Lecube, Albert, additional

Published
2022
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15. Morbidly obese subjects show increased serum sulfide in proportion to fat mass

Author

Comas, Ferran, primary, Latorre, Jèssica, additional, Ortega, Francisco, additional, Arnoriaga Rodríguez, María, additional, Lluch, Aina, additional, Sabater, Mònica, additional, Rius, Ferran, additional, Ribas, Xavier, additional, Costas, Miquel, additional, Ricart, Wifredo, additional, Lecube, Albert, additional, Fernández-Real, José Manuel, additional, and Moreno-Navarrete, José María, additional

Published
2020
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16. Dynamics of Anthropometric Indices in a Large Paired Cohort With 10 Years of Follow-Up: Paving the Way to Sarcopenic Obesity

Author

Santos, Maria-Dolores, primary, Buti, Miquel, additional, López-Cano, Carolina, additional, Sánchez, Enric, additional, Vidal, Antonieta, additional, Hernández, Marta, additional, Lafarga, Antonia, additional, Gutiérrez-Carrasquilla, Liliana, additional, Rius, Ferran, additional, Bueno, Marta, additional, and Lecube, Albert, additional

Published
2020
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17. Dissimilar impact of Mediterranean diet and physical activity on estimated body composition: A cross-sectional study from the ILERVAS project

Author

Sánchez, Marta, Sánchez Peña, Enric, Hernández García, Marta, González, Jessica, Purroy Garcia, Francisco, Rius, Ferran, Pamplona Gras, Reinald, Farràs-Sallés, Cristina, Gutiérrez Carrasquilla, Liliana, Fernández i Giráldez, Elvira, Bermúdez López, Marcelino, Salvador, Javier, Salas-Salvadó, Jordi, and Lecube Torelló, Albert

Subjects
Body fat, Physical activity, Questionnaire, Mediterranean diet, Adiposity, Obesity indices
Abstract

There is a close relationship between lifestyle behaviors and excess adiposity. Althoughbody mass index (BMI) is the most used approach to estimate excess weight, other anthropometricindices have been developed to measure total body and abdominal adiposity. However, littleis known about the impact of physical activity and adherence to a Mediterranean diet on theseindices. Here we report the results of a cross-sectional study with 6672 middle-aged subjects withlow to moderate cardiovascular risk from the Ilerda Vascular (ILERVAS) project. The participants’adherence to physical activity (International Physical Activity Questionnaire short form) and MedDiet(Mediterranean Diet Adherence Screener) was evaluated. Measures of total adiposity (BMI, ClínicaUniversidad de Navarra-Body Adiposity Estimator (CUN-BAE), and Deurenberg’s formula), centraladiposity (waist and neck circumferences, conicity index, waist to height ratio, Bonora’s equation,A body adiposity index, and body roundness index), and lean body mass (Hume formula) were assessed. Irrespective of sex, lower indices of physical activity were associated with higher valuesof total body fat and central adiposity. This result was constant regardless of the indices used toestimate adiposity. However, the association between MedDiet and obesity indices was much lessmarked and more dependent on sex than that observed for physical activity. Lean body mass wasinfluenced by neither physical activity nor MedDiet adherence. No joint effect between physicalactivity and MedDiet to lower estimated total or central adiposity indices was shown. In conclusion,physical activity is related to lower obesity indices in a large cohort of middle-aged subjects. MedDietshowed a slight impact on estimated anthropometric indices, with no joint effect when consideringboth lifestyle variables. ClinTrials.gov Identifier: NCT03228459. This study was partially supported by grants from theDiputacióde Lleida, Generalitat de Catalunya (2017SGR696 and SLT0021600250). CIBER de Diabetes y Enfermedades Metabólicas Asociadas, CIBER de Nutricióny Obesidad, and CIBER de Enfermedades Respiratorias are initiatives of the Instituto de Salud Carlos III.

Published
2019

18. MOESM1 of Characteristics of atheromatosis in the prediabetes stage: a cross-sectional investigation of the ILERVAS project

Author

Sánchez, Enric, Betriu, Àngels, López-Cano, Carolina, Hernández, Marta, Fernández, Elvira, Purroy, Francisco, Bermúdez-López, Marcelino, Farràs-Sallés, Cristina, Barril, Silvia, Pamplona, Reinald, Rius, Ferran, Hernández, Cristina, Simó, Rafael, and Lecube, Albert

Abstract

Additional file 1: Table S1. Full results and methodological details regarding intra and inter rate reliability for plaque presence and plaque area by arterial territory. Table S2. Prevalence of subclinical atheromatous disease in each of the six specific territories in women according the menopausal state. Table S3. The multivariable logistic regression model for the presence of atheromatous disease among female subjects in the prediabetes stage. Table S4. The multivariable logistic regression model for the presence of atheromatous disease among male subjects in the prediabetes stage.

Published
2019
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19. Convolutional neural network training with dynamic epoch ordering

Author

Plana Rius, Ferran, Angulo Bahón, Cecilio, Casas Guix, Marc, Mirats Tur, Josep Maria, Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Barcelona Supercomputing Center, and Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement

Subjects
Neural networks (Computer science), Artificial intelligence, Informàtica [Àrees temàtiques de la UPC], Intel·ligència artificial, Convolutional Neural Networks, Xarxes neuronals (Informàtica), Deep learning, Deep residual networks, Data management, Supervised learning
Abstract

The paper presented exposes a novel approach to feed data to a Convolutional Neural Network (CNN) while training. Normally, neural networks are fed with shuffled data without any control of what type of examples contains a minibatch. For situations where data are abundant and there does not exist an unbalancing between classes, shuffling the training data is enough to ensure a balanced mini-batch. On the contrary, most real-world problems end up with databases where some classes are predominant vs others, ill-conditioning the training network to learn those classes forgetting the others. For those conditioned cases, most common methods simply discard a certain number of samples until the data is balanced, but this paper proposes an ordered method of feeding data while preserving randomness in the mini-batch composition and using all available samples. This method has proven to solve the problem with unbalanced data-sets while competing with other methods. Moreover, the paper will focus its attention to a well know CNN network structure, named Deep Residual Networks.

Published
2019

21. Skin Autofluorescence Measurement in Subclinical Atheromatous Disease : Results from the ILERVAS Project

Author

Sánchez, Enric, Betriu, Àngels, Yeramian, Andree, Fernández, Elvira, Purroy, Francesc, Sánchez-de-la-Torre, Manuel, Pamplona, Reinald, Miquel, Eva, University of Monastir, Hernández, Cristina, Simó Canonge, Rafael, Lecube, Albert, Hernández, Marta, Rius, Ferran, Polanco, Dinora, Barbé, Ferran, Torres, Gerard, Suárez, Guillermo, Portero-Otin, Manuel, Jové, Mariona, Colàs-Campàs, Laura, Benabdelhak, Ikram, Farràs, Cristina, Ortega, Marta, Valdivielso, José Manuel, Bermúdez-López, Marcelino, Martínez-Alonso, Montse, Universitat Autònoma de Barcelona, Sánchez, Enric, Betriu, Àngels, Yeramian, Andree, Fernández, Elvira, Purroy, Francesc, Sánchez-de-la-Torre, Manuel, Pamplona, Reinald, Miquel, Eva, University of Monastir, Hernández, Cristina, Simó Canonge, Rafael, Lecube, Albert, Hernández, Marta, Rius, Ferran, Polanco, Dinora, Barbé, Ferran, Torres, Gerard, Suárez, Guillermo, Portero-Otin, Manuel, Jové, Mariona, Colàs-Campàs, Laura, Benabdelhak, Ikram, Farràs, Cristina, Ortega, Marta, Valdivielso, José Manuel, Bermúdez-López, Marcelino, Martínez-Alonso, Montse, and Universitat Autònoma de Barcelona

Abstract

Aim: Advanced glycation end-products (AGEs) have been involved in the atherogenic process in the high-risk population. The goal of this study was to demonstrate that AGEs are related to subclinical atheromatous disease in subjects with low to moderate vascular risk. Methods: A cross-sectional study in which 2,568 non-diabetic subjects of both sexes without cardiovascular disease were included. Subcutaneous content of AGEs was assessed by skin autofluorescence (SAF) and subclinical atheromatous disease was measured by assessing the atheromatous plaque burden in carotid and femoral regions using ultrasonography. In addition, serum pentosidine, carboxymethyl-lysine (CML) and AGE receptors (RAGE) were assessed in a nested case-control study with 41 subjects without plaque and 41 individuals subjects with generalized disease. Results: Patients with atheromatous plaque had a higher SAF than those with no plaque (1.9 [1.7 to 2.3] vs. 1.8 [1.6 to 2.1] arbitrary units (AU), p % 0.001). The SAF correlated with the total number of affected regions (r = 0.171, p < 0.001), increasing progressively from 1.8 [1.6 to 2.1] AU in those without atheromatous disease to 2.3 [1.9 to 2.7] AU in patients with ≥ 8 plaques (p < 0.001). A correlation was also observed between SAF and the total plaque area (r = 0.113, p < 0.001). The area under the Receiver Operating Characteristic curve was 0.65 (0.61 to 0.68) for identifying male subjects with atheromatous disease. The multivariable logistic regression model showed a significant and independent association between SAF and the presence of atheromatous disease. However, no significant differences in serum pentosidine, CML, and RAGE were observed. Conclusions: Increased subcutaneous content of AGEs is associated with augmented atheromatous plaque burden. Our results suggest that SAF may provide clinically relevant information to the current strategies for the evaluation of cardiovascular risk, especially among the male population.

Published
2019

22. Convolutional neural network training with dynamic epoch ordering

Author

Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement, Plana Rius, Ferran, Angulo Bahón, Cecilio, Casas, Marc, Mirats Tur, Josep Maria, Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement, Plana Rius, Ferran, Angulo Bahón, Cecilio, Casas, Marc, and Mirats Tur, Josep Maria

Abstract

The paper presented exposes a novel approach to feed data to a Convolutional Neural Network (CNN) while training. Normally, neural networks are fed with shuffled data without any control of what type of examples contains a minibatch. For situations where data are abundant and there does not exist an unbalancing between classes, shuffling the training data is enough to ensure a balanced mini-batch. On the contrary, most real-world problems end up with databases where some classes are predominant vs others, ill-conditioning the training network to learn those classes forgetting the others. For those conditioned cases, most common methods simply discard a certain number of samples until the data is balanced, but this paper proposes an ordered method of feeding data while preserving randomness in the mini-batch composition and using all available samples. This method has proven to solve the problem with unbalanced data-sets while competing with other methods. Moreover, the paper will focus its attention to a well know CNN network structure, named Deep Residual Networks., Peer Reviewed, Postprint (published version)

Published
2019

23. Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial

Author

Gerstein, Hertzel C, primary, Colhoun, Helen M, additional, Dagenais, Gilles R, additional, Diaz, Rafael, additional, Lakshmanan, Mark, additional, Pais, Prem, additional, Probstfield, Jeffrey, additional, Riesmeyer, Jeffrey S, additional, Riddle, Matthew C, additional, Rydén, Lars, additional, Xavier, Denis, additional, Atisso, Charles Messan, additional, Dyal, Leanne, additional, Hall, Stephanie, additional, Rao-Melacini, Purnima, additional, Wong, Gloria, additional, Avezum, Alvaro, additional, Basile, Jan, additional, Chung, Namsik, additional, Conget, Ignacio, additional, Cushman, William C, additional, Franek, Edward, additional, Hancu, Nicolae, additional, Hanefeld, Markolf, additional, Holt, Shaun, additional, Jansky, Petr, additional, Keltai, Matyas, additional, Lanas, Fernando, additional, Leiter, Lawrence A, additional, Lopez-Jaramillo, Patricio, additional, Cardona Munoz, Ernesto German, additional, Pirags, Valdis, additional, Pogosova, Nana, additional, Raubenheimer, Peter J, additional, Shaw, Jonathan E, additional, Sheu, Wayne H-H, additional, Temelkova-Kurktschiev, Theodora, additional, Abella, Mercedes, additional, Alebuena, Andrea, additional, Almagro, Sandra, additional, Amoroso, Eduardo, additional, Anadon, Paula, additional, Andreu, Elizabeth, additional, Aristimuño, Guillermo, additional, Arzadun, Maria, additional, Barbieri, Maria, additional, Barcudi, Raul, additional, Bartolacci, Ines, additional, Bolobanich, Gabriel, additional, Bordonava, Anselmo, additional, Bustamante Labarta, Miguel, additional, Bustos, Betina, additional, Caccavo, Alberto, additional, Camino, Alejandra, additional, Cantero, Maria, additional, Carignano, Maria, additional, Cartasegna, Luis, additional, Cipullo, Marcela, additional, Commendatore, Víctor, additional, Conosciuto, Victoria, additional, Costamagna, Osvaldo, additional, Crespo, Claudia, additional, Cuello, Jose, additional, Cuneo, Carlos, additional, Cusimano, Sandra, additional, Dean, Sofia, additional, Dituro, Claudio, additional, Dominguez, Andrea, additional, Farah, Miguel, additional, Fernandez, Alberto, additional, Fernandez, Florencia, additional, Ferrari, Adriana, additional, Flammia, Patricia, additional, Fuentealba, Jose, additional, Gallardo, Karina Beatriz, additional, Garcia, Celso, additional, Garcia Duran, Ruben, additional, Garrido, Marcelo, additional, Gavicola, Rodolfo, additional, Gerbaudo, Claudio, additional, Gilli, Graciela, additional, Giotto, Ana Paula, additional, Godoy Bolzán, Pedro, additional, Gomez Vilamajo, Oscar, additional, Guerlloy, Fernando, additional, Guridi, Cristian, additional, Gutierrez Garrido, Narcisa, additional, Hasbani, Eduardo, additional, Hermida, Sonia, additional, Hominal, Miguel, additional, Hrabar, Adrian, additional, Ingaramo, Adrián, additional, Izzicupo, Alejandra, additional, Krynski, Mario, additional, Lagrutta, Mariana, additional, Lanchiotti, Paulina, additional, Langhe, Maria, additional, Leonard, Veronica, additional, Llanos, Javier, additional, Lopez Santi, Ricardo, additional, Lowenstein, Jorge, additional, Luquez, Cecilia, additional, Mackinnon, Ignacio, additional, Mana, Melina, additional, Manzur, Sara, additional, Marino, Javier, additional, Martella, Carolina, additional, Martinez, Roger, additional, Matias, Re, additional, Matkovich, Javier, additional, Meritano, Monica, additional, Montaña, Oscar, additional, Mulazzi, María, additional, Ochoa, Juan, additional, Paterlini, Gustavo, additional, Pelagagge, María, additional, Peralta Lopez, Maria Elena, additional, Prado, Aldo, additional, Pruyas, Lorena, additional, Racca, Martín, additional, Ricotti, Carola, additional, Rodriguez, Carolina, additional, Romero Vidomlansky, Mariano, additional, Ronderos, Ricardo, additional, Sadowski, Ana Laura, additional, Sala, Jorgelina, additional, Sánchez, Alejandro, additional, Santoro, Andrea, additional, Schiavi, Lilia, additional, Sein, Mariano, additional, Sernia, Virginia, additional, Serra, Leonardo, additional, Sicer, Maximiliano, additional, Smith, Tomas, additional, Soso, Leonardo, additional, Sposetti, Georgina, additional, Steinacher, Andrea, additional, Stival, Jorge, additional, Tedesco, Jorge, additional, Tonin, Hugo, additional, Tortolo, Mauro, additional, Ulla, Maria, additional, Vallejos, Julio, additional, Vico, Marisa, additional, Virgillito, Luciana, additional, Visco, Virginia, additional, Vogel, Daniel, additional, Waisman, Florencia, additional, Zaidman, César, additional, Zucchiatti, Noemi, additional, Badshah, Imran, additional, Cohen, Neale, additional, Colman, Peter, additional, Colquhoun, David, additional, Davis, Timothy, additional, Fourlanos, Spiros, additional, Fulcher, Greg, additional, Hamlyn, Jane, additional, Haywood, Cilla, additional, Hocking, Samantha, additional, Huchinson, Maeve, additional, Jeffries, William, additional, Kyl, Mervyn, additional, Lo, Clement, additional, Mah, PeakMann, additional, Makepeace, Ashley, additional, Marope, Dolly, additional, Nanayakkar, Natalie, additional, Nankervis, Alison, additional, Palmer, Neil, additional, Palolus, Barbara, additional, Pillai, Satish, additional, Price, Sarah, additional, Proietto, Joseph, additional, Reutens, Anne, additional, Rodrigo, Natassia, additional, Sheikh, Abdul, additional, Smith, Greg, additional, So, Michelle, additional, Soldatos, Georgia, additional, Stuckey, Bronwyn, additional, Sumithran, Priya, additional, Teede, Helena, additional, Vora, Parind, additional, Williams, Lyn, additional, Abib, Eduardo, additional, Adão Poço, Christiani, additional, Alves, Érica Ferreira, additional, Andreatta Bernardi Barea, Janaina, additional, Avezum Oliveira, Livia, additional, Castro, Denise Ludovico da Costa de, additional, Correa da Cruz, Ivan, additional, Costa, Midiã, additional, Cruz, Ivan, additional, Cunha, Sidney, additional, Da Silva, Marco Antonio Vieira, additional, de Carvalho Camara Bona, Renata, additional, de Paula, Bruna, additional, Eliaschewitz, Freddy, additional, Fazolli, Guilherme, additional, Ferreira Filho, Carlos Alberto, additional, Fortes, Jose, additional, França, Cesar, additional, Franco, Denise Reis, additional, Genestreti, Paulo Roberto, additional, Giorgeto, Flavio, additional, Gonçalves, Rodrigo Marques, additional, Grossman, Michele Elka, additional, Henrique Marcelino, Ana Claudia, additional, Hernandes, Mauro, additional, Horta, Ana, additional, Jaeger, Cristiano, additional, Kaneblai, Midia, additional, Kauffman Rutenberg, Cecilia, additional, Kerr Saraiva, Jose Francisco, additional, Lemos, Maria Angelica, additional, Maia, Lilia, additional, Manenti, Euler Roberto, additional, Marques, Mariana, additional, Melissa Valerio, Cynthia, additional, Moreira, Rodrigo, additional, Mothé, Flávia, additional, Mouco, Osana Maria, additional, Moura, Philip, additional, Moura Jorge, José Carlos, additional, Nakashima, Carlos, additional, Nakazone, Marcelo, additional, Napoli, Thiago, additional, Nunes, Cristiane, additional, Nunes Salles, Joao Eduardo, additional, Oliveira, Karla, additional, Oliveira, Marcela, additional, Pantano, Gracielly de Souza, additional, Petri, Fabio, additional, Piazza, Leonardo, additional, Pires, Andreia Carla, additional, Pizzato, Patricia, additional, Prata, Sergio, additional, Precoma, Dalton, additional, Rech, Rafael, additional, Reis, Gilmar, additional, Reis, Heleno, additional, Resende, Elisabete, additional, Ribas Fortes, Jose, additional, Rodovalho, Sylka, additional, Rossi dos Santos, Fabio, additional, Salles, Joao Eduardo, additional, Sampaio, Célia Regina, additional, Santos, Thiago, additional, Santos dos Santos, Vanessa, additional, Silva e Quadros, Tulio, additional, Silveira, Daniel, additional, Siqueira, Katia Nunes, additional, Teireira, M, additional, Uehara, Marcelo, additional, Valerio, C, additional, Vianna, Henrique, additional, Vidotti, Maria Helena, additional, Visconti, Guilherme de Lima, additional, Zanella, Maria Teresa, additional, Andreeva, Viktoriya, additional, Borisov, Radoslav, additional, Botushanov, Nikolay, additional, Dimitrov, Georgi, additional, Dimova, Kameliya, additional, Dragoychev, Tsvetan, additional, Grigorova, Valentina, additional, Gushterova, Valentina, additional, Ivanov, Ivaylo, additional, Kocelova, Tatyana, additional, Kurktschiev, Dimo, additional, Miletieva, Milena, additional, Nenkova-Gugusheva, Neli, additional, Pancheva, Ralitsa, additional, Pavlova, Maria, additional, Raev, Dimitar, additional, Spasova, Vesela, additional, Stoikov, Anastas, additional, Troev, Dimitar, additional, Yanev, Todor, additional, Yoncheva-Mihaylova, Mariana, additional, Abitbol, Alexander, additional, Ajala, Buki, additional, Alguwaihes, Abdullh, additional, Ardilouze, Jean-Luc, additional, Aris-Jilwan, Nahla, additional, Arnaout, Amel, additional, Aronson, Ronnie, additional, Aslam, Nadeem, additional, Babin, Sandra, additional, Bailargeon, Jean-Patrice, additional, Bailey, Allan, additional, Bajaj, Harpreet, additional, Beauchesne, Christian, additional, Beca, Sorin, additional, Belanger, Andre, additional, Bell, Alan, additional, Bellabarba, Diego, additional, Berard, Lori, additional, Berenbaum, Brian, additional, Bergeron, Vincent, additional, Berlingieri, Joseph, additional, Bernier, Frédéric, additional, Bishara, Phoebe, additional, Blank, David, additional, Blumer, Ian, additional, Brault, Suzanne, additional, Breton, Donald, additional, Carpentier, André, additional, Cha, James, additional, Chandra, Prakash, additional, Chiasson, Jean-Louis, additional, Conway, James R, additional, Couture, Ghyslaine, additional, Couture, Nathalie, additional, Dagenais, Gilles, additional, Datta, Dyotirmoy, additional, D'Ignazio, Giuseppe, additional, Dumas, Richard, additional, Fay, Didier, additional, Frechette, Andre, additional, Frenette, Louise, additional, Fung, Daisy, additional, Gagnon, Nathalie, additional, Galter, Meri, additional, Garon, Jean, additional, Gauthier, Jean Sebastien, additional, Geadah, Christian, additional, Gilbert, Jeremy, additional, Girard, Ronald, additional, Goldenberg, Ronald, additional, Grossman, Loren David, additional, Gupta, Nikhil, additional, Halle, Jean-Pierre, additional, Hivert, Marie-France, additional, Houde, Ghislaine, additional, Houlden, Robyn, additional, Hramiak, Irene, additional, Jablonski, Ted, additional, Jain, Akshay Jain, additional, Khandwala, Hasnain, additional, Khosla, Munish, additional, Lachance, C, additional, Laflamme, Emilie, additional, Langlois, Marie-France, additional, Larivee, Luc, additional, Liutkus, Joanne, additional, Lochnan, Heather, additional, Malik, Saleem, additional, McDonald, Charlotte, additional, Mehta, Pravinsagar, additional, Mihailidis, John, additional, Milot, Alain, additional, Narula, Priya, additional, Nault, Patrice, additional, Nayar, Arun, additional, Nisker, William, additional, Ouellet, Gilles, additional, Palardy, Jean, additional, Patel, Minta, additional, Paul, Terri, additional, Pedersen, Sue, additional, Perron, Patrice, additional, Pesant, Marie-Hélène, additional, Poirier, Paul, additional, Poulin, Marie-Claude, additional, Punthakee, Zubin, additional, Rehman, Waheed, additional, Ross, Stuart, additional, Sagar, P, additional, Saliba, Nouhad, additional, Sandler, Sam, additional, Schiffrin, Alicia, additional, Schlosser, Robert, additional, Seth-Sharma, Anila, additional, Sherman, Mark, additional, Sionit, David, additional, Sivakumar, Tharsan, additional, Soto, Juan, additional, St-Amour, Eric, additional, Steen, Oren, additional, Sussman, Jack, additional, Telner, Adam, additional, Tobe, Sheldon, additional, Twum-Barima, David-Yaw, additional, Van Zanten, Audrey, additional, VanRossum, Nicole, additional, Vecchiarelli, Jonathan, additional, Ward, Rick, additional, Wessengel, John, additional, Weisnagel, Stanley, additional, Wilderman, Igor, additional, Woo, Vincent, additional, Yakubovich, Natalia, additional, Yale, Jean-Francois, additional, Yared, Zeina, additional, Acevedo, Monica, additional, Aguirre, Maria Loreto, additional, Aizman, Andres, additional, Barroso, Maria Soledad, additional, Cobos, Leonardo, additional, Danin Vargas, Alfredo, additional, Descalzi, Barbara, additional, Godoy, Gonzalo, additional, Grumberg, Elio, additional, Lahsen, Rodolfo, additional, Larenas, Gladys, additional, Ortiz, Eugenia, additional, Paredes, Javier, additional, Potthoff, Sergio, additional, Retamal, Eva, additional, Rojas, Luis, additional, Salgado, Manuel, additional, Santibanez, Claudio, additional, Solis, Carmen, additional, Stokins, Benjamin, additional, Accini, Jose, additional, Acebedo, Javier, additional, Agudelo Baena, Lina Maria, additional, Alarcon, Soraya, additional, Angel, Juliana, additional, Arcos, Edgar, additional, Aroca Martinez, M, additional, Atuesta, Leonor, additional, Balaguera, Jose, additional, Ballestas, Doris, additional, Barrera, Sandra Isabel, additional, Barrios Reyes, Rosmy, additional, Bayona, Adolfo, additional, Bermudez, Andres, additional, Bernal, Diego Zarate, additional, Blanquicett, Marco, additional, Bravo, Victor, additional, Bueno, Wendy, additional, Burbano Delgado, Alvaro, additional, Cadena, Alberto, additional, Cadena, Andres, additional, Caicedo, Sandra, additional, Celemin, Carlos, additional, Consuegra, Ricardo, additional, Contreras Pimienta, Cristhian, additional, Corredor, Kelly Johenis, additional, Cure, Carlos, additional, De La Hoz Rueda, Lizeth Dayana, additional, Delgado, Erika, additional, Diaz, Sarahy, additional, Diego, Marta, additional, Donado, Anabell, additional, Encinales Sanabria, William, additional, Escobar, Juliana, additional, Escorcia, Gillian, additional, Forero, Leonardo, additional, Fuentes, Laura, additional, Garcia, Maria, additional, Garcia Lozada, Henry, additional, Garcia Ortiz, Luis, additional, Giraldo, Angela, additional, Gomez Gonzalez, Laura, additional, Granada, Javier, additional, Gutierrez, Corina, additional, Henao, Natalia, additional, Hernandez, Edwin, additional, Herrera Uejbe, Olga Maria, additional, Higuera Cobos, Juan Diego, additional, Ibarra Gómez, Jaime, additional, Jaimes, Edwin Hernandez, additional, Jaramillo, Monica, additional, Jaramillo, Nicolas, additional, Jaramillo Gomez, Carlos, additional, Jaramillo Sanchez, Monica, additional, Jarava Durán, Ivonne, additional, Lopez Ceballos, Catalina, additional, Madrid, Claudia, additional, María Amastha, Elias, additional, Mercado, Jennifer, additional, Molina, Dora Ines, additional, Molina Soto, Jessica, additional, Montoya, Carlos, additional, Morales, Alexander, additional, Muñoz, Carolina, additional, Orozco, Luis Alejandro, additional, Osorio, Oscar, additional, Palmera Sanchez, Jorge Mario, additional, Peña, Adwar, additional, Perez, Jose, additional, Perez Agudelo, Juan, additional, Pérez Amador, Germán, additional, Pertuz, Carlos, additional, Posada, Irina, additional, Puerta, Carlos, additional, Quintero, Adalberto, additional, Quiroz, Diana, additional, Rendon, Carmen, additional, Reyes, Alberto, additional, Reyes, Alvaro, additional, Ripoll, Diana, additional, Rivera, Carlos, additional, Rocha, Maria, additional, Rodriguez, Jose F, additional, Rodriguez Villanueva, Kervis Asid, additional, Rodriguez Zabala, Javier Emilio, additional, Rojas, Sindy, additional, Romero, Maria, additional, Rosero, Ricardo, additional, Rosillo Cardenas, Angelica Rocio, additional, Rueda, Lina, additional, Sanchez, Gregorio, additional, Sanchez, Tatiana, additional, Sotomayor Herazo, Arístides, additional, Suarez, Monica, additional, Torres, Mariana, additional, Trujillo, Freddy, additional, Urina, Miguel, additional, Van Strahlen, Lazaro, additional, Velandia, Carlos, additional, Velasquez Guzman, Carolina, additional, Velazquez, Elizabeth, additional, Vidal Prada, Tatiana, additional, Yepez Alvaran, Juan Pablo, additional, Zarate, Diego, additional, Andelova, Jana, additional, Benesova, Radka, additional, Buzova, Barbara, additional, Cech, Vladimir, additional, Chodova, Ida, additional, Choura, Miroslav, additional, Dufka, Antonin, additional, Gamova, Andrea, additional, Gorgol, Jakub, additional, Hala, Tomas, additional, Havlova, Hana, additional, Hlavkova, Dagmar, additional, Horanska, Petra, additional, Ilcisin-Valova, Juliana, additional, Jenickova, Petra, additional, Jerabek, Ondrej, additional, Kantorova, Ilona, additional, Kolomaznikova, Katerina, additional, Kopeckova, Iva, additional, Kopeckova, Miroslava, additional, Linhart, Karel, additional, Linhart, Tomas, additional, Malecha, Jan, additional, Malicherova, Emilia, additional, Neubauerova, Dana, additional, Oznerova, Martina, additional, Partys, Radan, additional, Pederzoliova, Eva, additional, Petrusova, Maria, additional, Prymkova, Vera, additional, Racicka, Eva, additional, Reissova, Ida, additional, Roderova, Eva, additional, Stanek, Libor, additional, Striova, Alena, additional, Svarcova, Dana, additional, Svoboda, Petr, additional, Szeghy Malicharova, Emilia, additional, Urge, Jan, additional, Vesely, Ladislav, additional, Wasserburger, Bedich, additional, Wasserburgerova, Hilde, additional, Zahumensky, Emil, additional, Zamrazil, Vaclav, additional, Alawi, Hasan, additional, Anastasiadis, Ernestos, additional, Axthelm, Elisabeth, additional, Bieler, Tasso, additional, Buhrig, Christina, additional, Degtyareva, Elizaveta, additional, Dellanna, Frank, additional, Derwahl, Karl-Michael, additional, Diessel, Stephan, additional, Dogiami, Barbara, additional, Dorn-Weitzel, Kirsten, additional, Ernst, Monika, additional, Faulmann, Grit, additional, Fetscher, Baerbel, additional, Forst, Thomas, additional, Freyer-Lahres, Gabriele, additional, Funke, Klaus, additional, Ganz, Xenia, additional, Gleixner, Christiane, additional, Hanefeld, Christoph, additional, Heinrichs, Sven, additional, Helleberg, Stephanie, additional, Henkel, Elena, additional, Hetzel, Gerd Ruediger, additional, Hoffmann, Caren, additional, Jacob, Frohmut, additional, Jacob, Stephan, additional, John, Franziska, additional, Jonczyk, Antonius, additional, Kamke, Wolfram, additional, Klein, Christiane, additional, Kleinhardt, Martina, additional, Kleophas, Werner, additional, Kosch, Christine, additional, Kreutzmann, Kristin, additional, Kühn, Achim, additional, Lee-Barkey, Young Hee, additional, Lier, Alexander, additional, Maatouk, Sarah, additional, Minnich, Joachim, additional, Mitry, Michael, additional, Muessig, Ilona, additional, Nicula, Diana, additional, Niemann, Martina, additional, Nothroff, Joerg, additional, Ott, Petra, additional, Pfuetzner, Andreas, additional, Pfützner, Andreas, additional, Pistrosch, Frank, additional, Pohl, Wildgard, additional, Prochazkova, Zdenka, additional, Retkowska, Marlena, additional, Rosin, Heiko, additional, Sachsenheimer, Daniela, additional, Samer, Holger, additional, Sanuri, Mazin, additional, Schaefer, Axel, additional, Schaper, Frank, additional, Schulze, Erik-Delf, additional, Schulze, Marita, additional, Schumann, Martina, additional, Segiet, Thomas, additional, Sowa, Veronika, additional, Stahl, Hans-Detlev, additional, Steinfeldt, Franziska, additional, Teige, Madlen, additional, Trieb, Bjoern, additional, Tschoepe, Diethelm, additional, Uebel, Peter, additional, Warken, Bernd, additional, Weigmann, Ingo, additional, Weyland, Klaus, additional, Wilhelm, Klara, additional, Balo, Timea, additional, Balsay, Miklos, additional, Bende, Ilona, additional, Bezzegh, Katalin, additional, Birkus, Zita, additional, Buday, Barbara, additional, Csomai, Melinda, additional, Deak, Laszlo, additional, Dezso, Eniko, additional, Faludi, Peter, additional, Faluvegi, M, additional, Fazekas, Ilona, additional, Feher, Agota, additional, Fejer, Csaba, additional, Finta, Ervin, additional, Fulcz, Agnes, additional, Gaal, Zsolt, additional, Gurzo, Mihaly, additional, Hati, Krisztina, additional, Herczeg, Gabriella, additional, Jozsef, Ildiko, additional, Juhasz, Marta, additional, Keltai, Katalin, additional, Koranyi, Laszlo, additional, Kulcsar, Eniko, additional, Kun, Krisztina, additional, Laczko, Andrea, additional, Literáti-Nagy, Botond, additional, Mezo, Izabella, additional, Mileder, Margit, additional, Moricz, I, additional, Nagy, Károly, additional, Nagybaczoni, Bela, additional, Nemeth, Csaba, additional, Oze, Agnes, additional, Pauer, Jozsef, additional, Peterfai, Eva, additional, Polocsanyi, Bela, additional, Poor, Ferenc, additional, Reiber, István, additional, Salamon, Csaba, additional, Sebestyen, Julia, additional, Torok, Ildiko, additional, Tuu, Marianna, additional, Varga, Andrea, additional, Vass, Viktor, additional, Ahn, Chul Min, additional, Ahn, Chulwoo, additional, ByungWon, Park, additional, Chang, Hyuk-Jae, additional, Chang, Kiyuk, additional, Choi, Eui-Young, additional, Choi, Han Seok, additional, Chung, Jin-Wook, additional, Hong, Bum- Kee, additional, Hong, Young Joon, additional, Hyon, Min Su, additional, Jeong, Myung Ho, additional, Kang, Shinae, additional, Kim, Byeong-Keuk, additional, Kim, Ji-Hyun, additional, Kim, Ju Han, additional, Kim, Kee-Sik, additional, Kim, Moo Hyun, additional, Kim, Pum-Joon, additional, Kim, Soon-Kil, additional, Kim, Yong-Seok, additional, Kim, Young Kwon, additional, Koh, Yoon Seok, additional, Kwon, Hyuck Moon, additional, Lee, Byoung Kwon, additional, Lee, Byung-Wan, additional, Lee, Jin Bae, additional, Lee, Myoung-Mook, additional, Lim, Young-Mee, additional, Min, Pil Ki, additional, Park, Jong Sung, additional, Park, Jongsuk, additional, Park, Keun Ho, additional, Park, Sungha, additional, Pyun, Wook Bum, additional, Rim, Se Joong, additional, Ryu, Dong-Ryeol, additional, Seo, Hong-Seog, additional, Seung, Ki Bae, additional, Shin, Dong-Ho, additional, Sim, Doo Sun, additional, Yoon, Young Won, additional, Andersone, Ilze, additional, Babicka, Kristine, additional, Balcere, Inga, additional, Barons, Roberts, additional, Capkovska, Inguna, additional, Geldnere, Kristine, additional, Grigane, Inese, additional, Jegere, Baiba, additional, Lagzdina, Ilze, additional, Mora, Lija, additional, Pastare, Sigita, additional, Ritenberga, Rota, additional, Romanova, Janina, additional, Saknite, Inta, additional, Sidlovska, Natalja, additional, Sokolova, Jelena, additional, Steina, Sandra, additional, Strizko, Iveta, additional, Teterovska, Dace, additional, Vizina, Brigita, additional, Barsiene, Lina, additional, Belozariene, Gintare, additional, Daugintyte-Petrusiene, Laura, additional, Drungiliene, Nijole, additional, Garsviene, Nijole, additional, Grigiene, Ala, additional, Grizas, Vytautas, additional, Jociene, Virginija, additional, Kalvaitiene, Dalia, additional, Kaupiene, Jugeta, additional, Kavaliauskiene, Jurate, additional, Kozloviene, Dalia, additional, Lapteva, Ilona, additional, Maneikiene, Birute, additional, Marcinkeviciene, Jolanta, additional, Markauskiene, Vaidilija, additional, Meiluniene, Salomeja, additional, Norkus, Almantas, additional, Norviliene, Rita, additional, Petrenko, Vladimiras, additional, Radzeviciene, Ruta, additional, Sakalyte, Gintare, additional, Urbonas, Gediminas, additional, Urbutiene, Skaiste, additional, Vasiliauskas, Donatas, additional, Velickiene, Dzilda, additional, Aguilar, Carlos, additional, Alcocer, Marco, additional, Avalos-Ramirez, Juan Antonio, additional, Banda-Elizondo, Ramiro, additional, Bricio-Ramirez, Rubria, additional, Cardenas Mejia, Karla, additional, Cavazos, Francisco, additional, Chapa, Jesus, additional, Cienfuegos, Erika, additional, De la Peña, Astrid, additional, de la Peña Topete, Gilberto, additional, De los Rios Ibarra, Manuel Odin, additional, Elias, Daniel, additional, Flores-Moreno, Claudia, additional, Garcia Hernandez, Pedro, additional, Gonzalez, Luis Gerardo, additional, Guerra Moya, Rosa Linda, additional, Guerra-Lopez, Arturo, additional, Hernandez Baylon, Raymundo, additional, Herrera Colorado, Carolina, additional, Herrera-Marmolejo, Marisol, additional, Islas-Palacios, Neri, additional, Lopez, Esteban, additional, Lopez, Fernando, additional, Lopez Alvarado, Agustin, additional, Luna Ceballos, Rosa Isela, additional, Morales Villegas, Enrique, additional, Moreno-Virgen, Gualberto, additional, Parra Perez, Rosa Linda, additional, Pascoe Gonzalez, Sara, additional, Peralta-Cantu, Irving, additional, Previn, Roopa, additional, Ramirez, Rosa, additional, Ramirez, Rubria, additional, Ramos Zavala, Maria Guadalupe, additional, Rodriguez, Monica, additional, Salgado-Sedano, Rocio, additional, Sanchez-Aguilar, Ana Claudia, additional, Santa Rosa Franco, Edith, additional, Sauque-Reyna, Leobardo, additional, Suarez Otero, Rodrigo, additional, Torres, Ivonne, additional, Velarde-Harnandez, Enrique, additional, Villagordoa, Juan, additional, Villeda-Espinoza, Efrain, additional, Vital-Lopez, Jorge, additional, Zavala- Bello, Cristian Jair, additional, Baker, John, additional, Barrington-Ward, Elaine, additional, Brownless, Thomas, additional, Carroll, Richard, additional, Carson, Simon, additional, Choe, Michelle, additional, Corin, Andrew, additional, Corley, Brian, additional, Cutfield, Richard, additional, Dalaman, Neelam, additional, Dixon, Paul, additional, Drury, Paul, additional, Dyson, Keith, additional, Florkowski, Chris, additional, Ford, Monica, additional, Frengley, William, additional, Helm, Colin, additional, Katzen, Colin, additional, Kerr, Jane, additional, Khanolkar, Manish, additional, Kim, David, additional, Koops, Renata, additional, Krebs, Jeremy, additional, Leikis, Robert, additional, Low, Kwan, additional, Luckey, Alison, additional, Luke, Richard, additional, Macaulay, Susan, additional, Marks, Rodney, additional, McNamara, Catherine, additional, Millar-Coote, Dean, additional, Miller, Steven, additional, Mottershead, Naomi, additional, Reid, James, additional, Robertson, Narcisa, additional, Rosen, Ian, additional, Rowe, David, additional, Schmiedel, Ole, additional, Scott, Russell, additional, Sebastian, Jeffrey, additional, Sheahan, Davitt, additional, Stiebel, Victoria, additional, Ternouth, Ian, additional, Tofield, Chris, additional, Venter, Dirk, additional, Williams, Michael, additional, Williams, Miles, additional, Wu, Fiona, additional, Young, Simon, additional, Arciszewska, Malgorzata, additional, Bochenek, Anna, additional, Borkowski, Piotr, additional, Borowy, Przemyslaw, additional, Chrzanowski, Tomasz, additional, Czerwinski, Edward, additional, Dwojak, Marek, additional, Grodzicka, Agnieszka, additional, Janiec, Izabela, additional, Jaruga, Joanna, additional, Jazwinska-Tarnawska, Ewa Krystyna, additional, Jedynasty, Krystyna, additional, Juzwiak-Czapiewska, Danuta, additional, Karczewicz-Janowska, Jadwiga, additional, Konieczny, Jan, additional, Konieczny, Marek, additional, Korol, Marek, additional, Kozina, Maciej, additional, Krzyzagorska, Ewa, additional, Kucharczyk-Petryka, Ewa, additional, Laz, Roman, additional, Majchrzak, Anna, additional, Mrozowska, Zdzislawa, additional, Mularczyk, Michal, additional, Nowacka, Elzbieta, additional, Peczynska, Jadwiga, additional, Petryka, Robert, additional, Pietrzak, Radoslaw, additional, Pisarczyk-Wiza, Dorota, additional, Rozanska, Aleksandra, additional, Ruzga, Zofia, additional, Rzeszotarska, Emilia, additional, Sacha, Malgorzata, additional, Sekulska, Marzenna, additional, Sidorowicz-Bialynicka, Anna, additional, Stasinska, Teresa, additional, Strzelecka-Sosik, Agnieszka, additional, Swierszcz, Teresa, additional, Szymkowiak, Katarzyna Miroslawa, additional, Turowska, Olga, additional, Wisniewska, Krystyna, additional, Wiza, Maciej, additional, Wozniak, Iwona, additional, Zelazowska, Katarzyna, additional, Ziolkowska-Gawron, Bernadetta, additional, Zytkiewicz-Jaruga, Danuta, additional, Albota, Adrian, additional, Alexandru, Carmina, additional, Avram, Rodica, additional, Bala, Cornelia, additional, Barbonta, Diana, additional, Barbu, Roxana, additional, Braicu, Daniela, additional, Calutiu, Nicoleta, additional, Catrinoiu, Doina, additional, Cerghizan, Anca, additional, Ciorba, Alina, additional, Craciun, Anca, additional, Doros, Rodica, additional, Duma, Livia, additional, Dumitrache, Ancuta, additional, Ferariu, Ioana, additional, Ferician Moza, Anca, additional, Ghergan, Alexandrina, additional, Ghise, Gheorghe, additional, Graur, Mariana, additional, Gribovschi, Mihaela, additional, Mihai, Bogdan, additional, Mihalache, Laura, additional, Mihalcea, Madalina, additional, Mindrescu, Nicoleta, additional, Morosanu, Magdalena, additional, Morosoanu, Andrea, additional, Mota, Maria, additional, Moza, Anca, additional, Nafornita, Valerica, additional, Natea, Narcisa, additional, Nicodim, Simona, additional, Nita, Cristina, additional, Onaca, Adriana, additional, Onaca, Mircea, additional, Pop, Cristina, additional, Pop, Lavinia, additional, Popa, Amorin, additional, Popescu, Alexandrina, additional, Pruna, Luchiana, additional, Roman, Gabriela, additional, Rosu, Mihaela, additional, Sima, Alexandra, additional, Sipciu, Doina, additional, Sitterli-Natea, Carmen Narcisa, additional, Szilagyi, Iosif, additional, Tapurica, Minodora, additional, Tase, Adrian, additional, Tutescu, Adriana-Carmen, additional, Vanghelie, Luminita, additional, Verde, Ioana, additional, Vlad, Adrian, additional, Zarnescu, Mihaela, additional, Akhmetov, Roman, additional, Allenova, Irina, additional, Avdeeva, Irina, additional, Baturina, Oksana, additional, Biserova, Irina, additional, Bokovin, Nikolay, additional, Bondar, Irina, additional, Burova, Natalia, additional, Chufeneva, Galina, additional, Chumachek, Elena, additional, Demidova, Marina, additional, Demin, Alexander, additional, Drobysheva, Vera, additional, Egorova, Irina, additional, Esenyan, Lev, additional, Gelig, Ekaterina, additional, Gilyarevsky, Sergey, additional, Golshmid, Maria, additional, Goncharov, Arseniy, additional, Gorbunova, Anastasia, additional, Gordeev, Ivan, additional, Gorelysheva, Vera, additional, Goryunova, Tatiana, additional, Grebenshchikova, Irina, additional, Ilchenko, Roman, additional, Ivannikova, Maria, additional, Karabalieva, Saule, additional, Karpeeva, Juliya, additional, Khaykina, Elena, additional, Kobalava, Zhanna, additional, Kononenko, Irina, additional, Korolik, Oxana, additional, Korshunova, Anna, additional, Kostenko, Victor, additional, Krasnopevtseva, Irina, additional, Krylova, Ludmila, additional, Kulkova, Polina, additional, Kuzmina, Irina, additional, Ledyaeva, Alla, additional, Levashov, Sergey, additional, Lokhovinina, Natalia, additional, Lvov, Vadim, additional, Martirosyan, Narine, additional, Nedogoda, Sergey, additional, Nilk, Rostislav, additional, Osmolovskaya, Yulia, additional, Panov, Alexey, additional, Paramonova, Olga, additional, Pavlova, Ekaterina, additional, Pekareva, Elena, additional, Petunina, Nina, additional, Ponamareva, Svetlana, additional, Reshedko, Galina, additional, Salasyuk, Alla, additional, Sepkhanyan, Malvina, additional, Serebrov, Alexandr, additional, Shabelnikova, Olesya, additional, Skvortsov, Andrey, additional, Smirnova, Olga, additional, Spiridonova, Oxana, additional, Strogova, Svetlana, additional, Taratukhin, Evgeny, additional, Tereschenko, Sergey, additional, Trukhina, Lubov, additional, Tsarkova, Olga, additional, Tsoma, Vera, additional, Tumarov, Farid, additional, Tyan, Natalya, additional, Tyurina, Tatiana, additional, Villevalde, Svetlana, additional, Yankovaya, Elena, additional, Zarutskaya, Ludmila, additional, Zenkova, Elena, additional, Badat, Aysha, additional, Bester, Frederik, additional, Blignaut, Suzanne, additional, Blom, Dirk, additional, Booysen, Susan, additional, Boyd, Warren, additional, Brice, Brigitte, additional, Brown, Susan, additional, Burgess, Lesley, additional, Cawood, Reina, additional, Coetzee, Kathleen, additional, Conradie, Hillet, additional, Cronje, Tanja, additional, de Jong, Douwe, additional, Ellis, Graham, additional, Emanuel, Shaunagh, additional, Engelbrecht, Ingrid, additional, Foulkes, Sharne, additional, Fourie, Done, additional, Gibson, Gilbert, additional, Govender, Thirumani, additional, Hansa, Sumayah, additional, Hemus, Allana Colleen, additional, Hendricks, Firzana, additional, Heradien, Marshall, additional, Holmgren, Chantelle, additional, Hoosain, Zaheer, additional, Horak, Emile, additional, Howard, Johannes, additional, Immink, Ignatius, additional, Janari, E., additional, Jivan, Daksha, additional, Klusmann, Karl, additional, Labuschagne, Weik, additional, Lai, Yen-yu, additional, Latiff, Gulam, additional, Lombaard, J., additional, Lottering, Hanlie, additional, Meeding, Ronel, additional, Middlemost, Shirley, additional, Mitha, Haroon, additional, Mitha, Ismail, additional, Mkhwanazi, Sandile, additional, Moodley, Rajendran, additional, Murray, Almeri, additional, Musungaie, Dany, additional, Osman, Yasmin, additional, Peacey, Kirsten, additional, Pillay-Ramaya, Larisha, additional, Pretorius, Catharina, additional, Prozesky, Hans, additional, Sarvan, Mahomed, additional, Scholtz, E, additional, Sebesteny, Attila, additional, Skinner, Bianca, additional, Skriker, Michael, additional, Smit, M, additional, Stapelberg, Anna-Marie, additional, Swanepoel, Nicolaas, additional, Urbach, Dorothea, additional, van Aswegen, Dina, additional, van Zyl, Francois, additional, Van Zyl, Louis, additional, Venter, Esme, additional, Wadvalla, Shahid, additional, Wing, Jeffrey, additional, Wolmarans, Karen, additional, Abreu, Cristina, additional, Aguilà, Pilar, additional, Aguilera, Eva, additional, Alonso, Nuria, additional, Alvarez, Carmen, additional, Cajas, Priscila, additional, Castro, Jose Carlos, additional, Codinachs, Roger, additional, Contreras, Jose, additional, Coves, Maria Jose, additional, Fajardo, Carmen, additional, Ferrer, Juan Carlos, additional, Font, Neus, additional, Garcia, Mar, additional, Gil, Maria Apolonia, additional, Gomez, Fernando, additional, Gomez, Lluis Alberto, additional, Gonzalbez, Jose, additional, Griera, Jose Luis, additional, Masmiquel, Luís, additional, Mauricio, Didac, additional, Narejos Perez, Silvia, additional, Nicolau, Juana Ana, additional, Noheda Contreras, Olga, additional, Olivan, Josefina, additional, Olivares, Josefina, additional, Ortega, Emilio, additional, Pellitero, Silvia, additional, Pertusa, Salvador, additional, Rius, Ferran, additional, Rodriguez, Irene, additional, Sánchez-Juan, Carlos, additional, Santos, Dolores, additional, Soldevila, Berta, additional, Subias, David, additional, Terns, Manel, additional, Trescoli, Carlos, additional, Vilaplana, Judith, additional, Villanueva, Alicia, additional, Albo, Jaan, additional, Antus, Kjell, additional, Axelsson, Mattias, additional, Bergström, Lisa, additional, Binsell-Gerdin, Emil, additional, Boman, Kurt, additional, Botond, Fabian, additional, Dotevall, Annika, additional, Graipe, Anna, additional, Jarnet, C, additional, Kaminska, Jessica, additional, Kempe, Anders, additional, Korhonen, Michael, additional, Linderfalk, Carina, additional, Liu, Bo, additional, Ljungstroem, Karl, additional, Ljungström, Karl, additional, Malmqvist, Lennart, additional, Mellbin, Linda, additional, Mooe, Thomas, additional, Nicol, Peter, additional, Norrby, Anders, additional, Ohlsson, Ake, additional, Rosengren, Annika, additional, Saaf, Jan, additional, Salmonsson, Staffan, additional, Strandberg, Olof, additional, Svensson, Karl-Axel, additional, Tengmark, Bengt-Olov, additional, Tsatsaris, Georgios, additional, Ulvenstam, Anders, additional, Vasko, Peter, additional, Chang, Chwen-Tzuei, additional, Chang, Hsin-Mei, additional, Chen, Jung-Fu, additional, Chen, To-Pang, additional, Chung, Ming-Min, additional, Fu, Chia-Po, additional, Hsia, Te-Lin, additional, Hua, Shih-Che, additional, Kuo, Ming-Chun, additional, Lee, Chia-ln, additional, Lee, I-Te, additional, Liang, Kae-Woei, additional, Lin, Shih Yi, additional, Lu, Chieh-Hsiang, additional, Ma, Wen-Ya, additional, Pei, Dee, additional, Shen, Feng-Chih, additional, Su, Ching-Chieh, additional, Su, Shuo-Wei, additional, Tai, Tsai-Sung, additional, Tsai, Wan-Ni, additional, Tsai, Yi-Ting, additional, Tung, Shih-Chen, additional, Wang, Jun-Sing, additional, Yu, Hui-I, additional, Al-Qaissi, Ahmed, additional, Arutchelvam, Vijayaraman, additional, Atkin, Stephen, additional, Au, Simon, additional, Aye, Myint Myint, additional, Bain, Stephen, additional, Bejnariu, Cristina, additional, Bell, Patrick, additional, Bhatnagar, Deepak, additional, Bilous, Rudy, additional, Black, Neil, additional, Brennan, Ursula, additional, Brett, Barbara, additional, Bujanova, Jana, additional, Chow, Elaine, additional, Collier, Andrew, additional, Combe, Amanda, additional, Courtney, Christopher, additional, Courtney, Hamish, additional, Crothers, James, additional, Eavis, Patrick, additional, Elliott, Jackie, additional, Febbraro, Salvatore, additional, Finlayson, Jim, additional, Gandhi, Rajiv, additional, Gillings, Sharon, additional, Hamling, Jonathan, additional, Harper, Roy, additional, Harris, Tim, additional, Hassan, Kahal, additional, Heller, Simon, additional, Jane, Alison, additional, Javed, Zeeshan, additional, Johnson, Tim, additional, Jones, Stephen, additional, Kennedy, Adele, additional, Kerr, David, additional, Kilgallon, Brian, additional, Konya, Judith, additional, Lindsay, John, additional, Lomova-Williams, Lina, additional, Looker, Helen, additional, MacFarlane, David, additional, Macrury, Sandra, additional, Malik, Iqbal, additional, McCrimmon, Rory, additional, McKeith, Douglas, additional, McKnight, John, additional, Mishra, Biswa, additional, Mukhtar, Racha, additional, Mulligan, Ciara, additional, O'Kane, Maurice, additional, Olateju, Tolu, additional, Orpen, Ian, additional, Richardson, Tristan, additional, Rooney, Desmond, additional, Ross, Shorsha Bae, additional, Sathyapalan, Thozhukat, additional, Siddaramaiah, Naveen, additional, Sit, Lee Euan, additional, Stephens, Jeffrey, additional, Turtle, Frances, additional, Wakil, Ammar, additional, Walkinshaw, Emma, additional, Ali, Asem, additional, Anderson, Robert, additional, Arakaki, Richard, additional, Aref, Omar, additional, Ariani, Mehrdad Kevin, additional, Arkin, David, additional, Banarer, Salomon, additional, Barchini, George, additional, Bhan, Arti, additional, Branch, Kelley, additional, Brautigam, Donald, additional, Brietzke, Stephen, additional, Brinas, Maridez, additional, Brito, Yudit, additional, Carter, Casey, additional, Casagni, Kimberely, additional, Casula, Sabina, additional, Chakko, Simon, additional, Charatz, Seth, additional, Childress, Dale, additional, Chow, Lisa, additional, Chustecka, Malgorzata, additional, Clarke, Subha, additional, Cohen, Lisa, additional, Collins, Barry, additional, Colon Vega, Gildred, additional, Comulada-Rivera, Angel, additional, Cortes-Maisonet, Gregorio, additional, Davis, Matthew, additional, de Souza, Jose, additional, Desouza, Cyrus, additional, Dinnan, Mary, additional, Duffy-Hidalgo, Bobbi, additional, Dunn, Barbara, additional, Dunn, Julia, additional, Elman, Marshall, additional, Felicetta, James, additional, Finkelstein, Stuart, additional, Fitz-Patrick, David, additional, Florez, Hermes, additional, Forker, Alan, additional, Fowler, Wayne, additional, Fredrickson, Sonja, additional, Freedman, Zachary, additional, Gainey Narron, Brooke, additional, Gainey-Ferree, Kristin, additional, Gardner, Michael, additional, Gastelum, Christian, additional, Giddings, Stephen, additional, Gillespie, Eve, additional, Gimness, Michael Paul, additional, Goldstein, Gary, additional, Gomes, Maria, additional, Gomez, Nelson, additional, Gorman, Timothy, additional, Goswami, Ketan, additional, Graves, Arthur, additional, Hacking, Scott, additional, Hall, Charles, additional, Hanson, Lenita, additional, Harman, Sherman, additional, Heber, David, additional, Henry, Robert, additional, Hiner, Janette, additional, Hirsch, Irl, additional, Hollander, Priscilla, additional, Hooker, Thomas, additional, Horowitz, Barry, additional, Hoste, Laura, additional, Huang, Loli, additional, Huynh, Minh, additional, Hyman, Dan, additional, Idriss, Soha, additional, Iranmanesh, Ali, additional, Karounos, Dennis, additional, Kashyap, Moti, additional, Katz, Lois, additional, Kaye, William, additional, Khaiton, Yevgeniy, additional, Khardori, Romesh, additional, Kitchen, Timothy, additional, Klein, Andrew, additional, Knffem, Wendi, additional, Kosiborod, Mikhail, additional, Kreglinger, Nicola, additional, Kruger, Davida, additional, Kumar, Anubhav, additional, Laboy, Ivan, additional, Larrabee, Patricia, additional, Larrick, Laura, additional, Lawson, Donna, additional, Ledet, Mike, additional, Lenhard, James, additional, Levy, James, additional, Li, George, additional, Li, Zhaoping, additional, Lieb, David, additional, Limcolioc, April, additional, Lions-Patterson, Jane, additional, Lorber, Daniel, additional, Lorch, Daniel, additional, Lorrello, Michael, additional, Lu, Peter, additional, Lucas, Kathryn Jean, additional, Ma, Siu-Ling, additional, MacAdams, Michael, additional, Magee, Michelle, additional, Magno, Alexander, additional, Mahakala, Aparna Reddy, additional, Marks, Jennifer, additional, McCall, Anthony, additional, McClanahan, William, additional, McClary, Carole, additional, Melendez, Lydia, additional, Melish, John, additional, Michaud, Deanna, additional, Miller, Christopher, additional, Miller, Neil, additional, Mora, Pablo, additional, Moten, Marriyam, additional, Mudaliar, Sunder, additional, Myrick, Gregory, additional, Narayan, Puneet, additional, Nassif, Mike, additional, Neri, Karena, additional, Newton, Tabitha, additional, Niblack, Patricia, additional, Nicol, Philip, additional, Nyenwe, Ebenezer, additional, Odugbesan, A. Ola, additional, Okorocha, Yolanda, additional, Ortiz Carrasquillo, Ramón, additional, Osei, Kwame, additional, Palermo, Coromoto, additional, Patel, Hiren, additional, Patel, Krishna, additional, Pau, Cindy, additional, Perley, Michael, additional, Plevin, Sanford, additional, Plummer, Elena, additional, Powell, Richard, additional, Qintar, Mohammed, additional, Rawls, Rex, additional, Reyes-Castano, John, additional, Reynolds, Lillian, additional, Richards, Robert, additional, Rosenstock, Julio, additional, Rowe, Caroline, additional, Saleh, Jahandar, additional, Sam, Sony, additional, Sanchez, Alfredo, additional, Sander, Donald, additional, Sanderson, Bruce, additional, Savin, Virginia, additional, Seaquist, Elizabeth, additional, Shah, Jayendra, additional, Shi, Serena, additional, Shivaswamy, Vijay, additional, Shlotzhauer, Tammi, additional, Shore, David, additional, Skukowski, Bobbie, additional, Soe, Kyaw, additional, Solheim, Vesna, additional, Soufer, Joseph, additional, Steinberg, Helmut, additional, Steinsapir, Jaime, additional, Tarkington, Phillip, additional, Thayer, Debra, additional, Thomson, Stephen, additional, Thrasher, James, additional, Tibaldi, Joseph, additional, Tjaden, Jeff, additional, Tores, Oberto, additional, Trence, Dace, additional, Trikudanathan, Subbulaxmi, additional, Ullal, Jagdeesh, additional, Uwaifo, Gabriel, additional, Vo, Anthony, additional, Vu, Kenny, additional, Walia, Damandeep, additional, Weiland, Karen, additional, Whitehouse, Fred, additional, Wiegmann, Thomas, additional, Wyne, Kathleen, additional, Wynne, Alan, additional, Yuen, Kevin, additional, Zaretzky, Joel, additional, Zebrack, James, additional, Zieve, Franklin, additional, and Zigrang, William, additional

Published
2019
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24. Dulaglutide and renal outcomes in type 2 diabetes: an exploratory analysis of the REWIND randomised, placebo-controlled trial

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Gerstein, Hertzel C, primary, Colhoun, Helen M, additional, Dagenais, Gilles R, additional, Diaz, Rafael, additional, Lakshmanan, Mark, additional, Pais, Prem, additional, Probstfield, Jeffrey, additional, Botros, Fady T, additional, Riddle, Matthew C, additional, Rydén, Lars, additional, Xavier, Denis, additional, Atisso, Charles Messan, additional, Dyal, Leanne, additional, Hall, Stephanie, additional, Rao-Melacini, Purnima, additional, Wong, Gloria, additional, Avezum, Alvaro, additional, Basile, Jan, additional, Chung, Namsik, additional, Conget, Ignacio, additional, Cushman, William C, additional, Franek, Edward, additional, Hancu, Nicolae, additional, Hanefeld, Markolf, additional, Holt, Shaun, additional, Jansky, Petr, additional, Keltai, Matyas, additional, Lanas, Fernando, additional, Leiter, Lawrence A, additional, Lopez-Jaramillo, Patricio, additional, Cardona Munoz, Ernesto German, additional, Pirags, Valdis, additional, Pogosova, Nana, additional, Raubenheimer, Peter J, additional, Shaw, Jonathan E, additional, Sheu, Wayne H-H, additional, Temelkova-Kurktschiev, Theodora, additional, Abella, Mercedes, additional, Alebuena, Andrea, additional, Almagro, Sandra, additional, Amoroso, Eduardo, additional, Anadon, Paula, additional, Andreu, Elizabeth, additional, Aristimuño, Guillermo, additional, Arzadun, Maria, additional, Barbieri, Maria, additional, Barcudi, Raul, additional, Bartolacci, Ines, additional, Bolobanich, Gabriel, additional, Bordonava, Anselmo, additional, Bustamante Labarta, Miguel, additional, Bustos, Betina, additional, Caccavo, Alberto, additional, Camino, Alejandra, additional, Cantero, Maria, additional, Carignano, Maria, additional, Cartasegna, Luis, additional, Cipullo, Marcela, additional, Commendatore, Víctor, additional, Conosciuto, Victoria, additional, Costamagna, Osvaldo, additional, Crespo, Claudia, additional, Cuello, Jose, additional, Cuneo, Carlos, additional, Cusimano, Sandra, additional, Dean, Sofia, additional, Dituro, Claudio, additional, Dominguez, Andrea, additional, Farah, Miguel, additional, Fernandez, Alberto, additional, Fernandez, Florencia, additional, Ferrari, Adriana, additional, Flammia, Patricia, additional, Fuentealba, Jose, additional, Gallardo, Karina Beatriz, additional, Garcia, Celso, additional, Garcia Duran, Ruben, additional, Garrido, Marcelo, additional, Gavicola, Rodolfo, additional, Gerbaudo, Claudio, additional, Gilli, Graciela, additional, Giotto, Ana Paula, additional, Godoy Bolzán, Pedro, additional, Gomez Vilamajo, Oscar, additional, Guerlloy, Fernando, additional, Guridi, Cristian, additional, Gutierrez Garrido, Narcisa, additional, Hasbani, Eduardo, additional, Hermida, Sonia, additional, Hominal, Miguel, additional, Hrabar, Adrian, additional, Ingaramo, Adrián, additional, Izzicupo, Alejandra, additional, Krynski, Mario, additional, Lagrutta, Mariana, additional, Lanchiotti, Paulina, additional, Langhe, Maria, additional, Leonard, Veronica, additional, Llanos, Javier, additional, Lopez Santi, Ricardo, additional, Lowenstein, Jorge, additional, Luquez, Cecilia, additional, Mackinnon, Ignacio, additional, Mana, Melina, additional, Manzur, Sara, additional, Marino, Javier, additional, Martella, Carolina, additional, Martinez, Roger, additional, Matias, Re, additional, Matkovich, Javier, additional, Meritano, Monica, additional, Montaña, Oscar, additional, Mulazzi, María, additional, Ochoa, Juan, additional, Paterlini, Gustavo, additional, Pelagagge, María, additional, Peralta Lopez, Maria Elena, additional, Prado, Aldo, additional, Pruyas, Lorena, additional, Racca, Martín, additional, Ricotti, Carola, additional, Rodriguez, Carolina, additional, Romero Vidomlansky, Mariano, additional, Ronderos, Ricardo, additional, Sadowski, Ana Laura, additional, Sala, Jorgelina, additional, Sánchez, Alejandro, additional, Santoro, Andrea, additional, Schiavi, Lilia, additional, Sein, Mariano, additional, Sernia, Virginia, additional, Serra, Leonardo, additional, Sicer, Maximiliano, additional, Smith, Tomas, additional, Soso, Leonardo, additional, Sposetti, Georgina, additional, Steinacher, Andrea, additional, Stival, Jorge, additional, Tedesco, Jorge, additional, Tonin, Hugo, additional, Tortolo, Mauro, additional, Ulla, Maria, additional, Vallejos, Julio, additional, Vico, Marisa, additional, Virgillito, Luciana, additional, Visco, Virginia, additional, Vogel, Daniel, additional, Waisman, Florencia, additional, Zaidman, César, additional, Zucchiatti, Noemi, additional, Badshah, Imran, additional, Cohen, Neale, additional, Colman, Peter, additional, Colquhoun, David, additional, Davis, Timothy, additional, Fourlanos, Spiros, additional, Fulcher, Greg, additional, Hamlyn, Jane, additional, Haywood, Cilla, additional, Hocking, Samantha, additional, Huchinson, Maeve, additional, Jeffries, William, additional, Kyl, Mervyn, additional, Lo, Clement, additional, Mah, PeakMann, additional, Makepeace, Ashley, additional, Marope, Dolly, additional, Nanayakkar, Natalie, additional, Nankervis, Alison, additional, Palmer, Neil, additional, Palolus, Barbara, additional, Pillai, Satish, additional, Price, Sarah, additional, Proietto, Joseph, additional, Reutens, Anne, additional, Rodrigo, Natassia, additional, Sheikh, Abdul, additional, Smith, Greg, additional, So, Michelle, additional, Soldatos, Georgia, additional, Stuckey, Bronwyn, additional, Sumithran, Priya, additional, Teede, Helena, additional, Vora, Parind, additional, Williams, Lyn, additional, Abib, Eduardo, additional, Adão Poço, Christiani, additional, Alves, Érica Ferreira, additional, Andreatta Bernardi Barea, Janaina, additional, Avezum Oliveira, Livia, additional, Castro, Denise Ludovico da Costa de, additional, Correa da Cruz, Ivan, additional, Costa, Midiã, additional, Cruz, Ivan, additional, Cunha, Sidney, additional, Da Silva, Marco Antonio Vieira, additional, de Carvalho Camara Bona, Renata, additional, de Paula, Bruna, additional, Eliaschewitz, Freddy, additional, Fazolli, Guilherme, additional, Ferreira Filho, Carlos Alberto, additional, Fortes, Jose, additional, França, Cesar, additional, Franco, Denise Reis, additional, Genestreti, Paulo Roberto, additional, Giorgeto, Flavio, additional, Gonçalves, Rodrigo Marques, additional, Grossman, Michele Elka, additional, Henrique Marcelino, Ana Claudia, additional, Hernandes, Mauro, additional, Horta, Ana, additional, Jaeger, Cristiano, additional, Kaneblai, Midia, additional, Kauffman Rutenberg, Cecilia, additional, Kerr Saraiva, Jose Francisco, additional, Lemos, Maria Angelica, additional, Maia, Lilia, additional, Manenti, Euler Roberto, additional, Marques, Mariana, additional, Melissa Valerio, Cynthia, additional, Moreira, Rodrigo, additional, Mothé, Flávia, additional, Mouco, Osana Maria, additional, Moura, Philip, additional, Moura Jorge, José Carlos, additional, Nakashima, Carlos, additional, Nakazone, Marcelo, additional, Napoli, Thiago, additional, Nunes, Cristiane, additional, Nunes Salles, Joao Eduardo, additional, Oliveira, Karla, additional, Oliveira, Marcela, additional, Pantano, Gracielly de Souza, additional, Petri, Fabio, additional, Piazza, Leonardo, additional, Pires, Andreia Carla, additional, Pizzato, Patricia, additional, Prata, Sergio, additional, Precoma, Dalton, additional, Rech, Rafael, additional, Reis, Gilmar, additional, Reis, Heleno, additional, Resende, Elisabete, additional, Ribas Fortes, Jose, additional, Rodovalho, Sylka, additional, Rossi dos Santos, Fabio, additional, Salles, Joao Eduardo, additional, Sampaio, Célia Regina, additional, Santos, Thiago, additional, Santos dos Santos, Vanessa, additional, Silva e Quadros, Tulio, additional, Silveira, Daniel, additional, Siqueira, Katia Nunes, additional, Teireira, M, additional, Uehara, Marcelo, additional, Valerio, C, additional, Vianna, Henrique, additional, Vidotti, Maria Helena, additional, Visconti, Guilherme de Lima, additional, Zanella, Maria Teresa, additional, Andreeva, Viktoriya, additional, Borisov, Radoslav, additional, Botushanov, Nikolay, additional, Dimitrov, Georgi, additional, Dimova, Kameliya, additional, Dragoychev, Tsvetan, additional, Grigorova, Valentina, additional, Gushterova, Valentina, additional, Ivanov, Ivaylo, additional, Kocelova, Tatyana, additional, Kurktschiev, Dimo, additional, Miletieva, Milena, additional, Nenkova-Gugusheva, Neli, additional, Pancheva, Ralitsa, additional, Pavlova, Maria, additional, Raev, Dimitar, additional, Spasova, Vesela, additional, Stoikov, Anastas, additional, Troev, Dimitar, additional, Yanev, Todor, additional, Yoncheva-Mihaylova, Mariana, additional, Abitbol, Alexander, additional, Ajala, Buki, additional, Alguwaihes, Abdullh, additional, Ardilouze, Jean-Luc, additional, Aris-Jilwan, Nahla, additional, Arnaout, Amel, additional, Aronson, Ronnie, additional, Aslam, Nadeem, additional, Babin, Sandra, additional, Bailargeon, Jean-Patrice, additional, Bailey, Allan, additional, Bajaj, Harpreet, additional, Beauchesne, Christian, additional, Beca, Sorin, additional, Belanger, Andre, additional, Bell, Alan, additional, Bellabarba, Diego, additional, Berard, Lori, additional, Berenbaum, Brian, additional, Bergeron, Vincent, additional, Berlingieri, Joseph, additional, Bernier, Frédéric, additional, Bishara, Phoebe, additional, Blank, David, additional, Blumer, Ian, additional, Brault, Suzanne, additional, Breton, Donald, additional, Carpentier, André, additional, Cha, James, additional, Chandra, Prakash, additional, Chiasson, Jean-Louis, additional, Conway, James R, additional, Couture, Ghyslaine, additional, Couture, Nathalie, additional, Dagenais, Gilles, additional, Datta, Dyotirmoy, additional, D'Ignazio, Giuseppe, additional, Dumas, Richard, additional, Fay, Didier, additional, Frechette, Andre, additional, Frenette, Louise, additional, Fung, Daisy, additional, Gagnon, Nathalie, additional, Galter, Meri, additional, Garon, Jean, additional, Gauthier, Jean Sebastien, additional, Geadah, Christian, additional, Gilbert, Jeremy, additional, Girard, Ronald, additional, Goldenberg, Ronald, additional, Grossman, Loren David, additional, Gupta, Nikhil, additional, Halle, Jean-Pierre, additional, Hivert, Marie-France, additional, Houde, Ghislaine, additional, Houlden, Robyn, additional, Hramiak, Irene, additional, Jablonski, Ted, additional, Jain, Akshay Jain, additional, Khandwala, Hasnain, additional, Khosla, Munish, additional, Lachance, C, additional, Laflamme, Emilie, additional, Langlois, Marie-France, additional, Larivee, Luc, additional, Liutkus, Joanne, additional, Lochnan, Heather, additional, Malik, Saleem, additional, McDonald, Charlotte, additional, Mehta, Pravinsagar, additional, Mihailidis, John, additional, Milot, Alain, additional, Narula, Priya, additional, Nault, Patrice, additional, Nayar, Arun, additional, Nisker, William, additional, Ouellet, Gilles, additional, Palardy, Jean, additional, Patel, Minta, additional, Paul, Terri, additional, Pedersen, Sue, additional, Perron, Patrice, additional, Pesant, Marie-Hélène, additional, Poirier, Paul, additional, Poulin, Marie-Claude, additional, Punthakee, Zubin, additional, Rehman, Waheed, additional, Ross, Stuart, additional, Sagar, P, additional, Saliba, Nouhad, additional, Sandler, Sam, additional, Schiffrin, Alicia, additional, Schlosser, Robert, additional, Seth-Sharma, Anila, additional, Sherman, Mark, additional, Sionit, David, additional, Sivakumar, Tharsan, additional, Soto, Juan, additional, St-Amour, Eric, additional, Steen, Oren, additional, Sussman, Jack, additional, Telner, Adam, additional, Tobe, Sheldon, additional, Twum-Barima, David-Yaw, additional, Van Zanten, Audrey, additional, VanRossum, Nicole, additional, Vecchiarelli, Jonathan, additional, Ward, Rick, additional, Wessengel, John, additional, Weisnagel, Stanley, additional, Wilderman, Igor, additional, Woo, Vincent, additional, Yakubovich, Natalia, additional, Yale, Jean-Francois, additional, Yared, Zeina, additional, Acevedo, Monica, additional, Aguirre, Maria Loreto, additional, Aizman, Andres, additional, Barroso, Maria Soledad, additional, Cobos, Leonardo, additional, Danin Vargas, Alfredo, additional, Descalzi, Barbara, additional, Godoy, Gonzalo, additional, Grumberg, Elio, additional, Lahsen, Rodolfo, additional, Larenas, Gladys, additional, Ortiz, Eugenia, additional, Paredes, Javier, additional, Potthoff, Sergio, additional, Retamal, Eva, additional, Rojas, Luis, additional, Salgado, Manuel, additional, Santibanez, Claudio, additional, Solis, Carmen, additional, Stokins, Benjamin, additional, Accini, Jose, additional, Acebedo, Javier, additional, Agudelo Baena, Lina Maria, additional, Alarcon, Soraya, additional, Angel, Juliana, additional, Arcos, Edgar, additional, Aroca Martinez, M, additional, Atuesta, Leonor, additional, Balaguera, Jose, additional, Ballestas, Doris, additional, Barrera, Sandra Isabel, additional, Barrios Reyes, Rosmy, additional, Bayona, Adolfo, additional, Bermudez, Andres, additional, Bernal, Diego Zarate, additional, Blanquicett, Marco, additional, Bravo, Victor, additional, Bueno, Wendy, additional, Burbano Delgado, Alvaro, additional, Cadena, Alberto, additional, Cadena, Andres, additional, Caicedo, Sandra, additional, Celemin, Carlos, additional, Consuegra, Ricardo, additional, Contreras Pimienta, Cristhian, additional, Corredor, Kelly Johenis, additional, Cure, Carlos, additional, De La Hoz Rueda, Lizeth Dayana, additional, Delgado, Erika, additional, Diaz, Sarahy, additional, Diego, Marta, additional, Donado, Anabell, additional, Encinales Sanabria, William, additional, Escobar, Juliana, additional, Escorcia, Gillian, additional, Forero, Leonardo, additional, Fuentes, Laura, additional, Garcia, Maria, additional, Garcia Lozada, Henry, additional, Garcia Ortiz, Luis, additional, Giraldo, Angela, additional, Gomez Gonzalez, Laura, additional, Granada, Javier, additional, Gutierrez, Corina, additional, Henao, Natalia, additional, Hernandez, Edwin, additional, Herrera Uejbe, Olga Maria, additional, Higuera Cobos, Juan Diego, additional, Ibarra Gómez, Jaime, additional, Jaimes, Edwin Hernandez, additional, Jaramillo, Monica, additional, Jaramillo, Nicolas, additional, Jaramillo Gomez, Carlos, additional, Jaramillo Sanchez, Monica, additional, Jarava Durán, Ivonne, additional, Lopez Ceballos, Catalina, additional, Madrid, Claudia, additional, María Amastha, Elias, additional, Mercado, Jennifer, additional, Molina, Dora Ines, additional, Molina Soto, Jessica, additional, Montoya, Carlos, additional, Morales, Alexander, additional, Muñoz, Carolina, additional, Orozco, Luis Alejandro, additional, Osorio, Oscar, additional, Palmera Sanchez, Jorge Mario, additional, Peña, Adwar, additional, Perez, Jose, additional, Perez Agudelo, Juan, additional, Pérez Amador, Germán, additional, Pertuz, Carlos, additional, Posada, Irina, additional, Puerta, Carlos, additional, Quintero, Adalberto, additional, Quiroz, Diana, additional, Rendon, Carmen, additional, Reyes, Alberto, additional, Reyes, Alvaro, additional, Ripoll, Diana, additional, Rivera, Carlos, additional, Rocha, Maria, additional, Rodriguez, Jose F, additional, Rodriguez Villanueva, Kervis Asid, additional, Rodriguez Zabala, Javier Emilio, additional, Rojas, Sindy, additional, Romero, Maria, additional, Rosero, Ricardo, additional, Rosillo Cardenas, Angelica Rocio, additional, Rueda, Lina, additional, Sanchez, Gregorio, additional, Sanchez, Tatiana, additional, Sotomayor Herazo, Arístides, additional, Suarez, Monica, additional, Torres, Mariana, additional, Trujillo, Freddy, additional, Urina, Miguel, additional, Van Strahlen, Lazaro, additional, Velandia, Carlos, additional, Velasquez Guzman, Carolina, additional, Velazquez, Elizabeth, additional, Vidal Prada, Tatiana, additional, Yepez Alvaran, Juan Pablo, additional, Zarate, Diego, additional, Andelova, Jana, additional, Benesova, Radka, additional, Buzova, Barbara, additional, Cech, Vladimir, additional, Chodova, Ida, additional, Choura, Miroslav, additional, Dufka, Antonin, additional, Gamova, Andrea, additional, Gorgol, Jakub, additional, Hala, Tomas, additional, Havlova, Hana, additional, Hlavkova, Dagmar, additional, Horanska, Petra, additional, Ilcisin-Valova, Juliana, additional, Jenickova, Petra, additional, Jerabek, Ondrej, additional, Kantorova, Ilona, additional, Kolomaznikova, Katerina, additional, Kopeckova, Iva, additional, Kopeckova, Miroslava, additional, Linhart, Karel, additional, Linhart, Tomas, additional, Malecha, Jan, additional, Malicherova, Emilia, additional, Neubauerova, Dana, additional, Oznerova, Martina, additional, Partys, Radan, additional, Pederzoliova, Eva, additional, Petrusova, Maria, additional, Prymkova, Vera, additional, Racicka, Eva, additional, Reissova, Ida, additional, Roderova, Eva, additional, Stanek, Libor, additional, Striova, Alena, additional, Svarcova, Dana, additional, Svoboda, Petr, additional, Szeghy Malicharova, Emilia, additional, Urge, Jan, additional, Vesely, Ladislav, additional, Wasserburger, Bedich, additional, Wasserburgerova, Hilde, additional, Zahumensky, Emil, additional, Zamrazil, Vaclav, additional, Alawi, Hasan, additional, Anastasiadis, Ernestos, additional, Axthelm, Elisabeth, additional, Bieler, Tasso, additional, Buhrig, Christina, additional, Degtyareva, Elizaveta, additional, Dellanna, Frank, additional, Derwahl, Karl-Michael, additional, Diessel, Stephan, additional, Dogiami, Barbara, additional, Dorn-Weitzel, Kirsten, additional, Ernst, Monika, additional, Faulmann, Grit, additional, Fetscher, Baerbel, additional, Forst, Thomas, additional, Freyer-Lahres, Gabriele, additional, Funke, Klaus, additional, Ganz, Xenia, additional, Gleixner, Christiane, additional, Hanefeld, Christoph, additional, Heinrichs, Sven, additional, Helleberg, Stephanie, additional, Henkel, Elena, additional, Hetzel, Gerd Ruediger, additional, Hoffmann, Caren, additional, Jacob, Frohmut, additional, Jacob, Stephan, additional, John, Franziska, additional, Jonczyk, Antonius, additional, Kamke, Wolfram, additional, Klein, Christiane, additional, Kleinhardt, Martina, additional, Kleophas, Werner, additional, Kosch, Christine, additional, Kreutzmann, Kristin, additional, Kühn, Achim, additional, Lee-Barkey, Young Hee, additional, Lier, Alexander, additional, Maatouk, Sarah, additional, Minnich, Joachim, additional, Mitry, Michael, additional, Muessig, Ilona, additional, Nicula, Diana, additional, Niemann, Martina, additional, Nothroff, Joerg, additional, Ott, Petra, additional, Pfuetzner, Andreas, additional, Pfützner, Andreas, additional, Pistrosch, Frank, additional, Pohl, Wildgard, additional, Prochazkova, Zdenka, additional, Retkowska, Marlena, additional, Rosin, Heiko, additional, Sachsenheimer, Daniela, additional, Samer, Holger, additional, Sanuri, Mazin, additional, Schaefer, Axel, additional, Schaper, Frank, additional, Schulze, Erik-Delf, additional, Schulze, Marita, additional, Schumann, Martina, additional, Segiet, Thomas, additional, Sowa, Veronika, additional, Stahl, Hans-Detlev, additional, Steinfeldt, Franziska, additional, Teige, Madlen, additional, Trieb, Bjoern, additional, Tschoepe, Diethelm, additional, Uebel, Peter, additional, Warken, Bernd, additional, Weigmann, Ingo, additional, Weyland, Klaus, additional, Wilhelm, Klara, additional, Balo, Timea, additional, Balsay, Miklos, additional, Bende, Ilona, additional, Bezzegh, Katalin, additional, Birkus, Zita, additional, Buday, Barbara, additional, Csomai, Melinda, additional, Deak, Laszlo, additional, Dezso, Eniko, additional, Faludi, Peter, additional, Faluvegi, M, additional, Fazekas, Ilona, additional, Feher, Agota, additional, Fejer, Csaba, additional, Finta, Ervin, additional, Fulcz, Agnes, additional, Gaal, Zsolt, additional, Gurzo, Mihaly, additional, Hati, Krisztina, additional, Herczeg, Gabriella, additional, Jozsef, Ildiko, additional, Juhasz, Marta, additional, Keltai, Katalin, additional, Koranyi, Laszlo, additional, Kulcsar, Eniko, additional, Kun, Krisztina, additional, Laczko, Andrea, additional, Literáti-Nagy, Botond, additional, Mezo, Izabella, additional, Mileder, Margit, additional, Moricz, I, additional, Nagy, Károly, additional, Nagybaczoni, Bela, additional, Nemeth, Csaba, additional, Oze, Agnes, additional, Pauer, Jozsef, additional, Peterfai, Eva, additional, Polocsanyi, Bela, additional, Poor, Ferenc, additional, Reiber, István, additional, Salamon, Csaba, additional, Sebestyen, Julia, additional, Torok, Ildiko, additional, Tuu, Marianna, additional, Varga, Andrea, additional, Vass, Viktor, additional, Ahn, Chul Min, additional, Ahn, Chulwoo, additional, ByungWon, Park, additional, Chang, Hyuk-Jae, additional, Chang, Kiyuk, additional, Choi, Eui-Young, additional, Choi, Han Seok, additional, Chung, Jin-Wook, additional, Hong, Bum- Kee, additional, Hong, Young Joon, additional, Hyon, Min Su, additional, Jeong, Myung Ho, additional, Kang, Shinae, additional, Kim, Byeong-Keuk, additional, Kim, Ji-Hyun, additional, Kim, Ju Han, additional, Kim, Kee-Sik, additional, Kim, Moo Hyun, additional, Kim, Pum-Joon, additional, Kim, Soon-Kil, additional, Kim, Yong-Seok, additional, Kim, Young Kwon, additional, Koh, Yoon Seok, additional, Kwon, Hyuck Moon, additional, Lee, Byoung Kwon, additional, Lee, Byung-Wan, additional, Lee, Jin Bae, additional, Lee, Myoung-Mook, additional, Lim, Young-Mee, additional, Min, Pil Ki, additional, Park, Jong Sung, additional, Park, Jongsuk, additional, Park, Keun Ho, additional, Park, Sungha, additional, Pyun, Wook Bum, additional, Rim, Se Joong, additional, Ryu, Dong-Ryeol, additional, Seo, Hong-Seog, additional, Seung, Ki Bae, additional, Shin, Dong-Ho, additional, Sim, Doo Sun, additional, Yoon, Young Won, additional, Andersone, Ilze, additional, Babicka, Kristine, additional, Balcere, Inga, additional, Barons, Roberts, additional, Capkovska, Inguna, additional, Geldnere, Kristine, additional, Grigane, Inese, additional, Jegere, Baiba, additional, Lagzdina, Ilze, additional, Mora, Lija, additional, Pastare, Sigita, additional, Ritenberga, Rota, additional, Romanova, Janina, additional, Saknite, Inta, additional, Sidlovska, Natalja, additional, Sokolova, Jelena, additional, Steina, Sandra, additional, Strizko, Iveta, additional, Teterovska, Dace, additional, Vizina, Brigita, additional, Barsiene, Lina, additional, Belozariene, Gintare, additional, Daugintyte-Petrusiene, Laura, additional, Drungiliene, Nijole, additional, Garsviene, Nijole, additional, Grigiene, Ala, additional, Grizas, Vytautas, additional, Jociene, Virginija, additional, Kalvaitiene, Dalia, additional, Kaupiene, Jugeta, additional, Kavaliauskiene, Jurate, additional, Kozloviene, Dalia, additional, Lapteva, Ilona, additional, Maneikiene, Birute, additional, Marcinkeviciene, Jolanta, additional, Markauskiene, Vaidilija, additional, Meiluniene, Salomeja, additional, Norkus, Almantas, additional, Norviliene, Rita, additional, Petrenko, Vladimiras, additional, Radzeviciene, Ruta, additional, Sakalyte, Gintare, additional, Urbonas, Gediminas, additional, Urbutiene, Skaiste, additional, Vasiliauskas, Donatas, additional, Velickiene, Dzilda, additional, Aguilar, Carlos, additional, Alcocer, Marco, additional, Avalos-Ramirez, Juan Antonio, additional, Banda-Elizondo, Ramiro, additional, Bricio-Ramirez, Rubria, additional, Cardenas Mejia, Karla, additional, Cavazos, Francisco, additional, Chapa, Jesus, additional, Cienfuegos, Erika, additional, De la Peña, Astrid, additional, de la Peña Topete, Gilberto, additional, De los Rios Ibarra, Manuel Odin, additional, Elias, Daniel, additional, Flores-Moreno, Claudia, additional, Garcia Hernandez, Pedro, additional, Gonzalez, Luis Gerardo, additional, Guerra Moya, Rosa Linda, additional, Guerra-Lopez, Arturo, additional, Hernandez Baylon, Raymundo, additional, Herrera Colorado, Carolina, additional, Herrera-Marmolejo, Marisol, additional, Islas-Palacios, Neri, additional, Lopez, Esteban, additional, Lopez, Fernando, additional, Lopez Alvarado, Agustin, additional, Luna Ceballos, Rosa Isela, additional, Morales Villegas, Enrique, additional, Moreno-Virgen, Gualberto, additional, Parra Perez, Rosa Linda, additional, Pascoe Gonzalez, Sara, additional, Peralta-Cantu, Irving, additional, Previn, Roopa, additional, Ramirez, Rosa, additional, Ramirez, Rubria, additional, Ramos Zavala, Maria Guadalupe, additional, Rodriguez, Monica, additional, Salgado-Sedano, Rocio, additional, Sanchez-Aguilar, Ana Claudia, additional, Santa Rosa Franco, Edith, additional, Sauque-Reyna, Leobardo, additional, Suarez Otero, Rodrigo, additional, Torres, Ivonne, additional, Velarde-Harnandez, Enrique, additional, Villagordoa, Juan, additional, Villeda-Espinoza, Efrain, additional, Vital-Lopez, Jorge, additional, Zavala- Bello, Cristian Jair, additional, Baker, John, additional, Barrington-Ward, Elaine, additional, Brownless, Thomas, additional, Carroll, Richard, additional, Carson, Simon, additional, Choe, Michelle, additional, Corin, Andrew, additional, Corley, Brian, additional, Cutfield, Richard, additional, Dalaman, Neelam, additional, Dixon, Paul, additional, Drury, Paul, additional, Dyson, Keith, additional, Florkowski, Chris, additional, Ford, Monica, additional, Frengley, William, additional, Helm, Colin, additional, Katzen, Colin, additional, Kerr, Jane, additional, Khanolkar, Manish, additional, Kim, David, additional, Koops, Renata, additional, Krebs, Jeremy, additional, Leikis, Robert, additional, Low, Kwan, additional, Luckey, Alison, additional, Luke, Richard, additional, Macaulay, Susan, additional, Marks, Rodney, additional, McNamara, Catherine, additional, Millar-Coote, Dean, additional, Miller, Steven, additional, Mottershead, Naomi, additional, Reid, James, additional, Robertson, Narcisa, additional, Rosen, Ian, additional, Rowe, David, additional, Schmiedel, Ole, additional, Scott, Russell, additional, Sebastian, Jeffrey, additional, Sheahan, Davitt, additional, Stiebel, Victoria, additional, Ternouth, Ian, additional, Tofield, Chris, additional, Venter, Dirk, additional, Williams, Michael, additional, Williams, Miles, additional, Wu, Fiona, additional, Young, Simon, additional, Arciszewska, Malgorzata, additional, Bochenek, Anna, additional, Borkowski, Piotr, additional, Borowy, Przemyslaw, additional, Chrzanowski, Tomasz, additional, Czerwinski, Edward, additional, Dwojak, Marek, additional, Grodzicka, Agnieszka, additional, Janiec, Izabela, additional, Jaruga, Joanna, additional, Jazwinska-Tarnawska, Ewa Krystyna, additional, Jedynasty, Krystyna, additional, Juzwiak-Czapiewska, Danuta, additional, Karczewicz-Janowska, Jadwiga, additional, Konieczny, Jan, additional, Konieczny, Marek, additional, Korol, Marek, additional, Kozina, Maciej, additional, Krzyzagorska, Ewa, additional, Kucharczyk-Petryka, Ewa, additional, Laz, Roman, additional, Majchrzak, Anna, additional, Mrozowska, Zdzislawa, additional, Mularczyk, Michal, additional, Nowacka, Elzbieta, additional, Peczynska, Jadwiga, additional, Petryka, Robert, additional, Pietrzak, Radoslaw, additional, Pisarczyk-Wiza, Dorota, additional, Rozanska, Aleksandra, additional, Ruzga, Zofia, additional, Rzeszotarska, Emilia, additional, Sacha, Malgorzata, additional, Sekulska, Marzenna, additional, Sidorowicz-Bialynicka, Anna, additional, Stasinska, Teresa, additional, Strzelecka-Sosik, Agnieszka, additional, Swierszcz, Teresa, additional, Szymkowiak, Katarzyna Miroslawa, additional, Turowska, Olga, additional, Wisniewska, Krystyna, additional, Wiza, Maciej, additional, Wozniak, Iwona, additional, Zelazowska, Katarzyna, additional, Ziolkowska-Gawron, Bernadetta, additional, Zytkiewicz-Jaruga, Danuta, additional, Albota, Adrian, additional, Alexandru, Carmina, additional, Avram, Rodica, additional, Bala, Cornelia, additional, Barbonta, Diana, additional, Barbu, Roxana, additional, Braicu, Daniela, additional, Calutiu, Nicoleta, additional, Catrinoiu, Doina, additional, Cerghizan, Anca, additional, Ciorba, Alina, additional, Craciun, Anca, additional, Doros, Rodica, additional, Duma, Livia, additional, Dumitrache, Ancuta, additional, Ferariu, Ioana, additional, Ferician Moza, Anca, additional, Ghergan, Alexandrina, additional, Ghise, Gheorghe, additional, Graur, Mariana, additional, Gribovschi, Mihaela, additional, Mihai, Bogdan, additional, Mihalache, Laura, additional, Mihalcea, Madalina, additional, Mindrescu, Nicoleta, additional, Morosanu, Magdalena, additional, Morosoanu, Andrea, additional, Mota, Maria, additional, Moza, Anca, additional, Nafornita, Valerica, additional, Natea, Narcisa, additional, Nicodim, Simona, additional, Nita, Cristina, additional, Onaca, Adriana, additional, Onaca, Mircea, additional, Pop, Cristina, additional, Pop, Lavinia, additional, Popa, Amorin, additional, Popescu, Alexandrina, additional, Pruna, Luchiana, additional, Roman, Gabriela, additional, Rosu, Mihaela, additional, Sima, Alexandra, additional, Sipciu, Doina, additional, Sitterli-Natea, Carmen Narcisa, additional, Szilagyi, Iosif, additional, Tapurica, Minodora, additional, Tase, Adrian, additional, Tutescu, Adriana-Carmen, additional, Vanghelie, Luminita, additional, Verde, Ioana, additional, Vlad, Adrian, additional, Zarnescu, Mihaela, additional, Akhmetov, Roman, additional, Allenova, Irina, additional, Avdeeva, Irina, additional, Baturina, Oksana, additional, Biserova, Irina, additional, Bokovin, Nikolay, additional, Bondar, Irina, additional, Burova, Natalia, additional, Chufeneva, Galina, additional, Chumachek, Elena, additional, Demidova, Marina, additional, Demin, Alexander, additional, Drobysheva, Vera, additional, Egorova, Irina, additional, Esenyan, Lev, additional, Gelig, Ekaterina, additional, Gilyarevsky, Sergey, additional, Golshmid, Maria, additional, Goncharov, Arseniy, additional, Gorbunova, Anastasia, additional, Gordeev, Ivan, additional, Gorelysheva, Vera, additional, Goryunova, Tatiana, additional, Grebenshchikova, Irina, additional, Ilchenko, Roman, additional, Ivannikova, Maria, additional, Karabalieva, Saule, additional, Karpeeva, Juliya, additional, Khaykina, Elena, additional, Kobalava, Zhanna, additional, Kononenko, Irina, additional, Korolik, Oxana, additional, Korshunova, Anna, additional, Kostenko, Victor, additional, Krasnopevtseva, Irina, additional, Krylova, Ludmila, additional, Kulkova, Polina, additional, Kuzmina, Irina, additional, Ledyaeva, Alla, additional, Levashov, Sergey, additional, Lokhovinina, Natalia, additional, Lvov, Vadim, additional, Martirosyan, Narine, additional, Nedogoda, Sergey, additional, Nilk, Rostislav, additional, Osmolovskaya, Yulia, additional, Panov, Alexey, additional, Paramonova, Olga, additional, Pavlova, Ekaterina, additional, Pekareva, Elena, additional, Petunina, Nina, additional, Ponamareva, Svetlana, additional, Reshedko, Galina, additional, Salasyuk, Alla, additional, Sepkhanyan, Malvina, additional, Serebrov, Alexandr, additional, Shabelnikova, Olesya, additional, Skvortsov, Andrey, additional, Smirnova, Olga, additional, Spiridonova, Oxana, additional, Strogova, Svetlana, additional, Taratukhin, Evgeny, additional, Tereschenko, Sergey, additional, Trukhina, Lubov, additional, Tsarkova, Olga, additional, Tsoma, Vera, additional, Tumarov, Farid, additional, Tyan, Natalya, additional, Tyurina, Tatiana, additional, Villevalde, Svetlana, additional, Yankovaya, Elena, additional, Zarutskaya, Ludmila, additional, Zenkova, Elena, additional, Badat, Aysha, additional, Bester, Frederik, additional, Blignaut, Suzanne, additional, Blom, Dirk, additional, Booysen, Susan, additional, Boyd, Warren, additional, Brice, Brigitte, additional, Brown, Susan, additional, Burgess, Lesley, additional, Cawood, Reina, additional, Coetzee, Kathleen, additional, Conradie, Hillet, additional, Cronje, Tanja, additional, de Jong, Douwe, additional, Ellis, Graham, additional, Emanuel, Shaunagh, additional, Engelbrecht, Ingrid, additional, Foulkes, Sharne, additional, Fourie, Done, additional, Gibson, Gilbert, additional, Govender, Thirumani, additional, Hansa, Sumayah, additional, Hemus, Allana Colleen, additional, Hendricks, Firzana, additional, Heradien, Marshall, additional, Holmgren, Chantelle, additional, Hoosain, Zaheer, additional, Horak, Emile, additional, Howard, Johannes, additional, Immink, Ignatius, additional, Janari, E., additional, Jivan, Daksha, additional, Klusmann, Karl, additional, Labuschagne, Weik, additional, Lai, Yen-yu, additional, Latiff, Gulam, additional, Lombaard, J., additional, Lottering, Hanlie, additional, Meeding, Ronel, additional, Middlemost, Shirley, additional, Mitha, Haroon, additional, Mitha, Ismail, additional, Mkhwanazi, Sandile, additional, Moodley, Rajendran, additional, Murray, Almeri, additional, Musungaie, Dany, additional, Osman, Yasmin, additional, Peacey, Kirsten, additional, Pillay-Ramaya, Larisha, additional, Pretorius, Catharina, additional, Prozesky, Hans, additional, Sarvan, Mahomed, additional, Scholtz, E, additional, Sebesteny, Attila, additional, Skinner, Bianca, additional, Skriker, Michael, additional, Smit, M, additional, Stapelberg, Anna-Marie, additional, Swanepoel, Nicolaas, additional, Urbach, Dorothea, additional, van Aswegen, Dina, additional, van Zyl, Francois, additional, Van Zyl, Louis, additional, Venter, Esme, additional, Wadvalla, Shahid, additional, Wing, Jeffrey, additional, Wolmarans, Karen, additional, Abreu, Cristina, additional, Aguilà, Pilar, additional, Aguilera, Eva, additional, Alonso, Nuria, additional, Alvarez, Carmen, additional, Cajas, Priscila, additional, Castro, Jose Carlos, additional, Codinachs, Roger, additional, Contreras, Jose, additional, Coves, Maria Jose, additional, Fajardo, Carmen, additional, Ferrer, Juan Carlos, additional, Font, Neus, additional, Garcia, Mar, additional, Gil, Maria Apolonia, additional, Gomez, Fernando, additional, Gomez, Lluis Alberto, additional, Gonzalbez, Jose, additional, Griera, Jose Luis, additional, Masmiquel, Luís, additional, Mauricio, Didac, additional, Narejos Perez, Silvia, additional, Nicolau, Juana Ana, additional, Noheda Contreras, Olga, additional, Olivan, Josefina, additional, Olivares, Josefina, additional, Ortega, Emilio, additional, Pellitero, Silvia, additional, Pertusa, Salvador, additional, Rius, Ferran, additional, Rodriguez, Irene, additional, Sánchez-Juan, Carlos, additional, Santos, Dolores, additional, Soldevila, Berta, additional, Subias, David, additional, Terns, Manel, additional, Trescoli, Carlos, additional, Vilaplana, Judith, additional, Villanueva, Alicia, additional, Albo, Jaan, additional, Antus, Kjell, additional, Axelsson, Mattias, additional, Bergström, Lisa, additional, Binsell-Gerdin, Emil, additional, Boman, Kurt, additional, Botond, Fabian, additional, Dotevall, Annika, additional, Graipe, Anna, additional, Jarnet, C, additional, Kaminska, Jessica, additional, Kempe, Anders, additional, Korhonen, Michael, additional, Linderfalk, Carina, additional, Liu, Bo, additional, Ljungstroem, Karl, additional, Ljungström, Karl, additional, Malmqvist, Lennart, additional, Mellbin, Linda, additional, Mooe, Thomas, additional, Nicol, Peter, additional, Norrby, Anders, additional, Ohlsson, Ake, additional, Rosengren, Annika, additional, Saaf, Jan, additional, Salmonsson, Staffan, additional, Strandberg, Olof, additional, Svensson, Karl-Axel, additional, Tengmark, Bengt-Olov, additional, Tsatsaris, Georgios, additional, Ulvenstam, Anders, additional, Vasko, Peter, additional, Chang, Chwen-Tzuei, additional, Chang, Hsin-Mei, additional, Chen, Jung-Fu, additional, Chen, To-Pang, additional, Chung, Ming-Min, additional, Fu, Chia-Po, additional, Hsia, Te-Lin, additional, Hua, Shih-Che, additional, Kuo, Ming-Chun, additional, Lee, Chia-ln, additional, Lee, I-Te, additional, Liang, Kae-Woei, additional, Lin, Shih Yi, additional, Lu, Chieh-Hsiang, additional, Ma, Wen-Ya, additional, Pei, Dee, additional, Shen, Feng-Chih, additional, Su, Ching-Chieh, additional, Su, Shuo-Wei, additional, Tai, Tsai-Sung, additional, Tsai, Wan-Ni, additional, Tsai, Yi-Ting, additional, Tung, Shih-Chen, additional, Wang, Jun-Sing, additional, Yu, Hui-I, additional, Al-Qaissi, Ahmed, additional, Arutchelvam, Vijayaraman, additional, Atkin, Stephen, additional, Au, Simon, additional, Aye, Myint Myint, additional, Bain, Stephen, additional, Bejnariu, Cristina, additional, Bell, Patrick, additional, Bhatnagar, Deepak, additional, Bilous, Rudy, additional, Black, Neil, additional, Brennan, Ursula, additional, Brett, Barbara, additional, Bujanova, Jana, additional, Chow, Elaine, additional, Collier, Andrew, additional, Combe, Amanda, additional, Courtney, Christopher, additional, Courtney, Hamish, additional, Crothers, James, additional, Eavis, Patrick, additional, Elliott, Jackie, additional, Febbraro, Salvatore, additional, Finlayson, Jim, additional, Gandhi, Rajiv, additional, Gillings, Sharon, additional, Hamling, Jonathan, additional, Harper, Roy, additional, Harris, Tim, additional, Hassan, Kahal, additional, Heller, Simon, additional, Jane, Alison, additional, Javed, Zeeshan, additional, Johnson, Tim, additional, Jones, Stephen, additional, Kennedy, Adele, additional, Kerr, David, additional, Kilgallon, Brian, additional, Konya, Judith, additional, Lindsay, John, additional, Lomova-Williams, Lina, additional, Looker, Helen, additional, MacFarlane, David, additional, Macrury, Sandra, additional, Malik, Iqbal, additional, McCrimmon, Rory, additional, McKeith, Douglas, additional, McKnight, John, additional, Mishra, Biswa, additional, Mukhtar, Racha, additional, Mulligan, Ciara, additional, O'Kane, Maurice, additional, Olateju, Tolu, additional, Orpen, Ian, additional, Richardson, Tristan, additional, Rooney, Desmond, additional, Ross, Shorsha Bae, additional, Sathyapalan, Thozhukat, additional, Siddaramaiah, Naveen, additional, Sit, Lee Euan, additional, Stephens, Jeffrey, additional, Turtle, Frances, additional, Wakil, Ammar, additional, Walkinshaw, Emma, additional, Ali, Asem, additional, Anderson, Robert, additional, Arakaki, Richard, additional, Aref, Omar, additional, Ariani, Mehrdad Kevin, additional, Arkin, David, additional, Banarer, Salomon, additional, Barchini, George, additional, Bhan, Arti, additional, Branch, Kelley, additional, Brautigam, Donald, additional, Brietzke, Stephen, additional, Brinas, Maridez, additional, Brito, Yudit, additional, Carter, Casey, additional, Casagni, Kimberely, additional, Casula, Sabina, additional, Chakko, Simon, additional, Charatz, Seth, additional, Childress, Dale, additional, Chow, Lisa, additional, Chustecka, Malgorzata, additional, Clarke, Subha, additional, Cohen, Lisa, additional, Collins, Barry, additional, Colon Vega, Gildred, additional, Comulada-Rivera, Angel, additional, Cortes-Maisonet, Gregorio, additional, Davis, Matthew, additional, de Souza, Jose, additional, Desouza, Cyrus, additional, Dinnan, Mary, additional, Duffy-Hidalgo, Bobbi, additional, Dunn, Barbara, additional, Dunn, Julia, additional, Elman, Marshall, additional, Felicetta, James, additional, Finkelstein, Stuart, additional, Fitz-Patrick, David, additional, Florez, Hermes, additional, Forker, Alan, additional, Fowler, Wayne, additional, Fredrickson, Sonja, additional, Freedman, Zachary, additional, Gainey Narron, Brooke, additional, Gainey-Ferree, Kristin, additional, Gardner, Michael, additional, Gastelum, Christian, additional, Giddings, Stephen, additional, Gillespie, Eve, additional, Gimness, Michael Paul, additional, Goldstein, Gary, additional, Gomes, Maria, additional, Gomez, Nelson, additional, Gorman, Timothy, additional, Goswami, Ketan, additional, Graves, Arthur, additional, Hacking, Scott, additional, Hall, Charles, additional, Hanson, Lenita, additional, Harman, Sherman, additional, Heber, David, additional, Henry, Robert, additional, Hiner, Janette, additional, Hirsch, Irl, additional, Hollander, Priscilla, additional, Hooker, Thomas, additional, Horowitz, Barry, additional, Hoste, Laura, additional, Huang, Loli, additional, Huynh, Minh, additional, Hyman, Dan, additional, Idriss, Soha, additional, Iranmanesh, Ali, additional, Karounos, Dennis, additional, Kashyap, Moti, additional, Katz, Lois, additional, Kaye, William, additional, Khaiton, Yevgeniy, additional, Khardori, Romesh, additional, Kitchen, Timothy, additional, Klein, Andrew, additional, Knffem, Wendi, additional, Kosiborod, Mikhail, additional, Kreglinger, Nicola, additional, Kruger, Davida, additional, Kumar, Anubhav, additional, Laboy, Ivan, additional, Larrabee, Patricia, additional, Larrick, Laura, additional, Lawson, Donna, additional, Ledet, Mike, additional, Lenhard, James, additional, Levy, James, additional, Li, George, additional, Li, Zhaoping, additional, Lieb, David, additional, Limcolioc, April, additional, Lions-Patterson, Jane, additional, Lorber, Daniel, additional, Lorch, Daniel, additional, Lorrello, Michael, additional, Lu, Peter, additional, Lucas, Kathryn Jean, additional, Ma, Siu-Ling, additional, MacAdams, Michael, additional, Magee, Michelle, additional, Magno, Alexander, additional, Mahakala, Aparna Reddy, additional, Marks, Jennifer, additional, McCall, Anthony, additional, McClanahan, William, additional, McClary, Carole, additional, Melendez, Lydia, additional, Melish, John, additional, Michaud, Deanna, additional, Miller, Christopher, additional, Miller, Neil, additional, Mora, Pablo, additional, Moten, Marriyam, additional, Mudaliar, Sunder, additional, Myrick, Gregory, additional, Narayan, Puneet, additional, Nassif, Mike, additional, Neri, Karena, additional, Newton, Tabitha, additional, Niblack, Patricia, additional, Nicol, Philip, additional, Nyenwe, Ebenezer, additional, Odugbesan, A. Ola, additional, Okorocha, Yolanda, additional, Ortiz Carrasquillo, Ramón, additional, Osei, Kwame, additional, Palermo, Coromoto, additional, Patel, Hiren, additional, Patel, Krishna, additional, Pau, Cindy, additional, Perley, Michael, additional, Plevin, Sanford, additional, Plummer, Elena, additional, Powell, Richard, additional, Qintar, Mohammed, additional, Rawls, Rex, additional, Reyes-Castano, John, additional, Reynolds, Lillian, additional, Richards, Robert, additional, Rosenstock, Julio, additional, Rowe, Caroline, additional, Saleh, Jahandar, additional, Sam, Sony, additional, Sanchez, Alfredo, additional, Sander, Donald, additional, Sanderson, Bruce, additional, Savin, Virginia, additional, Seaquist, Elizabeth, additional, Shah, Jayendra, additional, Shi, Serena, additional, Shivaswamy, Vijay, additional, Shlotzhauer, Tammi, additional, Shore, David, additional, Skukowski, Bobbie, additional, Soe, Kyaw, additional, Solheim, Vesna, additional, Soufer, Joseph, additional, Steinberg, Helmut, additional, Steinsapir, Jaime, additional, Tarkington, Phillip, additional, Thayer, Debra, additional, Thomson, Stephen, additional, Thrasher, James, additional, Tibaldi, Joseph, additional, Tjaden, Jeff, additional, Tores, Oberto, additional, Trence, Dace, additional, Trikudanathan, Subbulaxmi, additional, Ullal, Jagdeesh, additional, Uwaifo, Gabriel, additional, Vo, Anthony, additional, Vu, Kenny, additional, Walia, Damandeep, additional, Weiland, Karen, additional, Whitehouse, Fred, additional, Wiegmann, Thomas, additional, Wyne, Kathleen, additional, Wynne, Alan, additional, Yuen, Kevin, additional, Zaretzky, Joel, additional, Zebrack, James, additional, Zieve, Franklin, additional, and Zigrang, William, additional

Published
2019
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25. The influence of sleep apnea syndrome and intermittent hypoxia in carotid adventitial vasa vasorum

Author

López-Cano, Carolina, primary, Rius, Ferran, additional, Sánchez, Enric, additional, Gaeta, Anna Michela, additional, Betriu, Àngels, additional, Fernández, Elvira, additional, Yeramian, Andree, additional, Hernández, Marta, additional, Bueno, Marta, additional, Gutiérrez-Carrasquilla, Liliana, additional, Dalmases, Mireia, additional, and Lecube, Albert, additional

Published
2019
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26. Effect of Glucose Improvement on Spirometric Maneuvers in Patients With Type 2 Diabetes: The Sweet Breath Study

Author

Gutiérrez-Carrasquilla, Liliana, primary, Sánchez, Enric, additional, Barbé, Ferran, additional, Dalmases, Mireia, additional, López-Cano, Carolina, additional, Hernández, Marta, additional, Rius, Ferran, additional, Carmona, Paola, additional, Hernández, Cristina, additional, Simó, Rafael, additional, and Lecube, Albert, additional

Published
2019
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28. Are Obesity Indices Useful for Detecting Subclinical Atheromatosis in a Middle-Aged Population?

Author

Sánchez, Enric, Sánchez, Marta, Betriu, Àngels, Rius, Ferran, Torres, Gerard, Purroy, Francesc, Pamplona, Reinald, Ortega, Marta, López-Cano, Carolina, Hernández, Marta, Bueno, Marta, Fernández, Elvira, Salvador, Javier, and Lecube, Albert

Subjects
BODY mass index, BODY composition, ATHEROSCLEROTIC plaque, OBESITY, WAIST circumference
Abstract

Objective: There is a close relationship between excess adiposity and cardiovascular disease. Although body mass index (BMI) is the most used approach to estimate excess weight, other anthropometric indices have been developed to measure total body and abdominal adiposity. Here, our objective was to assess the usefulness of these anthropometric indices to detect subclinical atheromatous disease. Methods: A cross-sectional study with 6,809 middle-aged subjects (mean age, 57 [53–63] years) with low to moderate cardiovascular risk from the ILERVAS project. Measures of total body fat (BMI, Clínica Universidad de Navarra – Body Adiposity Estimator [CUN-BAE], and Deurenberg's formula) and central adiposity (waist and neck circumferences, conicity index, waist-to-height ratio, Bonora's equation, the A body adiposity index, and body roundness index) were performed in all participants. Bilateral carotid and femoral ultrasound vascular studies allowed the identification of subjects with plaque. -Results: All measured indices were significantly higher in males with subclinical carotid or femoral plaques (p ≤ 0.021 for all). Also, a positive and significant correlation between all indices and the number of affected territories was found (p ≤ 0.013 for all). From the ROC analysis, all measurements identified patients with asymptomatic atheromatosis but none of them helped make clinical decisions. Regarding females, the results were less conclusive. Conclusion: Obesity indices are related to subclinical atheromatosis, especially in men, in a large cohort of middle-aged subjects. However, the indices could not detect the presence of arterial plaque, so, when used in isolation, are unlikely to be decisive. [ABSTRACT FROM AUTHOR]

Published
2020
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29. Impact of TSH during the first trimester of pregnancy in obstetric and fetal complications: Usefulness of 2.5 mIU/l cut-off value

Author

Soldevila, Berta, primary, Hernandez, Marta, additional, Lopez, Carolina, additional, Cacenarro, Laura, additional, Martinez-Barahona, Maria, additional, Palomera, Elisabet, additional, Rius, Ferran, additional, Lecube, Albert, additional, Pelegay, Maria Jose, additional, Garcia, Jordi, additional, Mauricio, Didac, additional, and Puig-Domingo, Manel, additional

Published
2018
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30. Impact of TSH during the first trimester of pregnancy on obstetric and foetal complications: Usefulness of 2.5 mIU/L cut-off value

Author

Hernández, Marta, primary, López, Carolina, additional, Soldevila, Berta, additional, Cecenarro, Laura, additional, Martínez-Barahona, María, additional, Palomera, Elisabet, additional, Rius, Ferran, additional, Lecube, Albert, additional, Pelegay, Maria José, additional, García, Jordi, additional, Mauricio, Dídac, additional, and Puig Domingo, Manel, additional

Published
2018
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33. Characteristics of atheromatosis in the prediabetes stage: a cross-sectional investigation of the ILERVAS project.

Author

Sánchez, Enric, Betriu, Àngels, López-Cano, Carolina, Hernández, Marta, Fernández, Elvira, Purroy, Francisco, Bermúdez-López, Marcelino, Farràs-Sallés, Cristina, Barril, Silvia, Pamplona, Reinald, Rius, Ferran, Hernández, Cristina, Simó, Rafael, Lecube, Albert, the ILERVAS project collaborators, Barbé, Ferran, Valdivielso, José-Manuel, Arqué, Glòria, González, Jessica, and Vena, Ana

Subjects
CARDIOVASCULAR diseases risk factors, GLYCOSYLATED hemoglobin, ATHEROSCLEROTIC plaque, PREDIABETIC state, FEMORAL artery
Abstract

Background: Prediabetes has recently been associated with subclinical atheromatous disease in the middle-aged population. Our aim was to characterize atheromatous plaque burden by the number of affected territories and the total plaque area in the prediabetes stage. Methods: Atheromatous plaque burden (quantity of plaques and total plaque area) was assessed in 12 territories from the carotid and femoral regions using ultrasonography in 6688 non-diabetic middle-aged subjects without cardiovascular disease. Prediabetes was defined by glycosylated hemoglobin (HbA1c) between 5.7 and 6.4% according to the American Diabetes Association guidelines. Results: Prediabetes was diagnosed in 33.9% (n = 2269) of the ILERVAS participants. Subjects with prediabetes presented a higher prevalence of subclinical atheromatous disease than participants with HbA1c < 5.7% (70.4 vs. 67.5%, p = 0.017). In the population with prediabetes this was observed at the level of the carotid territory (p < 0.001), but not in the femoral arteries. Participants in the prediabetes stage also presented a significantly higher number of affected territories (2 [1;3] vs. 1 [0;3], p = 0.002), with a positive correlation between HbA1c levels and the number of affected territories (r = 0.068, p < 0.001). However, atheromatosis was only significantly (p = 0.016) magnified by prediabetes in those subjects with 3 or more cardiovascular risk factors. The multivariable logistic regression model showed that the well-established cardiovascular risk factors together with HbA1c were independently associated with the presence of atheromatous disease in participants with prediabetes. When males and females were analyzed separately, we found that only men with prediabetes presented both carotid and femoral atherosclerosis, as well as an increase of total plaque area in comparison with non-prediabetic subjects. Conclusions: The prediabetes stage is accompanied by an increased subclinical atheromatous disease only in the presence of other cardiovascular risk factors. Prediabetes modulates the atherogenic effect of cardiovascular risk factors in terms of distribution and total plaque area in a sex-dependent manner. Trial registration NCT03228459 (clinicaltrials.gov) [ABSTRACT FROM AUTHOR]

Published
2019
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35. Benign and Malignant Nodular Thyroid Disease in Acromegaly. Is a Routine Thyroid Ultrasound Evaluation Advisable?

Author

Reverter, Jordi L., Fajardo, Carmen, Resmini, Eugenia, Salinas, Isabel, Mora, Mireia, Llatjós, Mariona, Sesmilo, Gemma, Rius, Ferran, Halperin, Irene, Webb, S. M., Ricart, Veronica, Riesgo, Pedro, Mauricio Puente, Dídac, Puig Domingo, Manuel, and Universitat Autònoma de Barcelona

Subjects
Thyroid nodules, Male, medicine.medical_specialty, endocrine system, Goiter, endocrine system diseases, medicine.medical_treatment, Thyroid Imaging, Thyroid Gland, lcsh:Medicine, Carcinomas, Diagnostic Radiology, Thyroid carcinoma, Diagnosis, Differential, Endocrinology, Diagnostic Medicine, Acromegaly, medicine, Medicine and Health Sciences, Humans, Thyroid Neoplasms, Thyroid Nodule, lcsh:Science, Thyroid cancer, Aged, Ultrasonography, Gynecology, Multidisciplinary, medicine.diagnostic_test, business.industry, Radiology and Imaging, lcsh:R, Thyroid, Thyroidectomy, Cancers and Neoplasms, Organ Size, Middle Aged, medicine.disease, Fine-needle aspiration, medicine.anatomical_structure, Cross-Sectional Studies, Oncology, lcsh:Q, Female, Radiology, Thyroid Carcinomas, business, Research Article
Abstract

Data on the prevalence of benign and malignant nodular thyroid disease in patients with acromegaly is a matter of debate. In the last decade an increasing incidence of thyroid cancer has been reported. The aim of this study was to evaluate the prevalence of goiter, thyroid nodules and thyroid cancer in a large series of patients with acromegaly with a cross-sectional study with a control group. Six Spanish university hospitals participated. One hundred and twenty three patients (50% men; mean age 59613 years; disease duration 6.767.2 years) and 50 controls (51% males, mean age 58615 years) were studied. All participants underwent thyroid ultrasound and fine needle aspiration. Cytological analysis was performed in suspicious nodules between 0.5 and 1.0 cm and in all nodules greater than 1.0 cm. Goiter was more frequently found in patients than in controls (24.9 vs. 8.3%, respectively; p,0.001). Nodular thyroid disease as well as nodules greater than 1 cm were also more prevalent in acromegalic patients (64.6%, vs. 28.6%, p,0.05 and 53.3 vs. 28.6%, respectively; p,0.05), and all underwent fine needle aspiration. Suspicious cytology was detected in 4 patients and in none of the controls. After thyroidectomy, papillary thyroid carcinoma was confirmed in two cases (3.3% of patients with thyroid nodules), representing 1.6% of the entire group of patients with acromegaly (2.4% including a case with previously diagnosed papillary thyroid carcinoma). These data indicated that thyroid nodular disease and cancer are increased in acromegaly, thus justifying its routine ultrasound screening.

Published
2014

37. Knowledge management through two virtual communities of practice (Endobloc and Pneumobloc).

Author

Lara, Beatriz, Cañas, Francesca, Vidal, Antonieta, Nadal, Núria, Rius, Ferran, Paredes, Eugeni, Hernández, Marta, Maravall, Francisco J., Franch-Nadal, Josep, Barbé, Ferran, and Mauricio, Dídac

Subjects
ENDOCRINOLOGISTS, NURSES, PHYSICIANS, RESEARCH funding, WORLD Wide Web, KNOWLEDGE management, BLOGS, SOCIAL media, PULMONOLOGISTS
Abstract

We developed two virtual communities of practice (Endobloc and Pneumobloc) to increase the interaction between general practitioners and nurses in primary care and hospital endocrinologists and pulmonologists. They were designed and developed using an existing web 2.0-based virtual network belonging to the local National Health System, and we quantitatively assessed the usefulness through the participation and use during the first 24 months after the launch in 2010. A total of 26,372 visits (47% Endobloc’s visits) and 2351 contributions (Endobloc’s contribution 38.9%) to both virtual communities of practice were registered during the first 24 months. The most popular sections were the e-Blog and the e-Consultations section in both virtual communities of practice, but some differences in the pattern of use in other sections were observed. Activity on the virtual communities of practice occurred throughout the day including weekends and holiday periods. We showed that virtual communities of practice are feasible under real-life clinical practice. [ABSTRACT FROM AUTHOR]

Published
2017
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40. Design, construction, and implementation of an online platform for patients with type 1 diabetes: EncoDiab.

Author

Alvarado-Martel, Dácil, Cañas, Francesca, Velasco, Rebeca, Alcubierre, Nuria, López-Ríos, Laura, Rius, Ferran, Nóvoa, Francisco Javier, Carrillo, Armando, Hernández, Marta, Wägner, Ana María, and Mauricio, Dídac

Subjects
TREATMENT of diabetes, INPATIENT care, PATIENT acceptance of health care, PEOPLE with diabetes, BODY mass index, HEALTH
Abstract

Purpose: The purpose of this study was to develop, build, and implement a virtual platform equipped with practical tools, relevant contents, and communication rooms, with the aim of facilitating patients' self-management of type 1 diabetes mellitus (T1DM). Materials and methods: The design of the platform was based on the suggestions of T1DM patients who were being managed at two reference hospitals. Patients' needs and preferences were identified in group discussion sessions. Before having access to the platform, patients underwent a baseline assessment, which included physical examination and the administration of validated questionnaires for evaluation of clinical background, quality of life, treatment satisfaction, and well-being. Results: A total of 33 patients were included in the study; 54.5% of them were men, their median age was 34 (18-50) years, the median duration of diabetes was 15 (1-38) years, and the median A1C was 7.4% (6%-12.6%). Based on their suggestions and requests, the online platform EncoDiab was built and organized intofour domains: a personal domain, two domains shared by the patients and the staff of each of the two participating hospitals, and one domain that was accessible to all participants. The platform included practical tools (a body mass index calculator, a carbohydrate counting tool, and an insulin-dose calculator), a library with relevant information (documents on prevention and treatment of acute complications, nutrition, exercise, etc), and a chat room. Conclusion: Although the study is still ongoing, our current results demonstrate the feasibility of building and implementing an online platform for helping T1DM patients in the selfmanagement of their disease in the public health setting. [ABSTRACT FROM AUTHOR]

Published
2015
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41. Thrombomodulin and induced tissue factor expression on monocytes as markers of diabetic microangiopathy: A prospective study on hemostasis and lipoproteins in insulin-dependent diabetes mellitus

Author

Reverter, Jordi L., primary, Reverter, Joan C., additional, Tàssies, Dolors, additional, Rius, Ferran, additional, Monteagudo, Joan, additional, Rubiés-Prat, Joan, additional, Escolar, Ginés, additional, Ordinas, Antoni, additional, and Sanmartí, Anna, additional

Published
1997
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42. Clinical Usefulness of Anthropometric Indices to Predict the Presence of Prediabetes. Data from the ILERVAS Cohort.

Author

Sánchez, Marta, Sánchez, Enric, Bermúdez-López, Marcelino, Torres, Gerard, Farràs-Sallés, Cristina, Pamplona, Reinald, Castro-Boqué, Eva, Valdivielso, José Manuel, Purroy, Francisco, Martínez-Alonso, Montserrat, Godoy, Pere, Mauricio, Dídac, Fernández, Elvira, Hernández, Marta, Rius, Ferran, Lecube, Albert, and Nielsen, Daiva E.

Abstract

Prediabetes is closely related to excess body weight and adipose distribution. For this reason, we aimed to assess and compare the diagnostic usefulness of ten anthropometric adiposity indices to predict prediabetes. Cross-sectional study with 8188 overweight subjects free of type 2 diabetes from the ILERVAS project (NCT03228459). Prediabetes was diagnosed by levels of glycated hemoglobin (HbA1c). Total body adiposity indices [BMI, Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) and Deurenberg's formula] and abdominal adiposity (waist and neck circumferences, conicity index, waist to height ratio, Bonora's equation, A body shape index, and body roundness index) were calculated. The area under the receiver-operating characteristic (ROC) curve, the best cutoff and the prevalence of prediabetes around this value were calculated for every anthropometric index. All anthropometric indices other than the A body adiposity were higher in men and women with prediabetes compared with controls (p < 0.001 for all). In addition, a slightly positive correlation was found between indices and HbA1c in both sexes (r ≤ 0.182 and p ≤ 0.026 for all). None of the measures achieved acceptable levels of discrimination in ROC analysis (area under the ROC ≤ 0.63 for all). Assessing BMI, the prevalence of prediabetes among men increased from 20.4% to 36.2% around the cutoff of 28.2 kg/m2, with similar data among women (from 29.3 to 44.8% with a cutoff of 28.6 kg/m2). No lonely obesity index appears to be the perfect biomarker to use in clinical practice to detect individuals with prediabetes. [ABSTRACT FROM AUTHOR]

Published
2021
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43. Dissimilar Impact of a Mediterranean Diet and Physical Activity on Anthropometric Indices: A Cross-Sectional Study from the ILERVAS Project.

Author

Sánchez, Marta, Sánchez, Enric, Hernández, Marta, González, Jessica, Purroy, Francesc, Rius, Ferran, Pamplona, Reinald, Farràs-Sallés, Cristina, Gutiérrez-Carrasquilla, Liliana, Fernández, Elvira, Bermúdez-López, Marcelino, Salvador, Javier, Salas-Salvadó, Jordi, and Lecube, Albert

Abstract

There is a close relationship between lifestyle behaviors and excess adiposity. Although body mass index (BMI) is the most used approach to estimate excess weight, other anthropometric indices have been developed to measure total body and abdominal adiposity. However, little is known about the impact of physical activity and adherence to a Mediterranean diet on these indices. Here we report the results of a cross-sectional study with 6672 middle-aged subjects with low to moderate cardiovascular risk from the Ilerda Vascular (ILERVAS) project. The participants' adherence to physical activity (International Physical Activity Questionnaire short form) and MedDiet (Mediterranean Diet Adherence Screener) was evaluated. Measures of total adiposity (BMI, Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE), and Deurenberg's formula), central adiposity (waist and neck circumferences, conicity index, waist to height ratio, Bonora's equation, A body adiposity index, and body roundness index), and lean body mass (Hume formula) were assessed. Irrespective of sex, lower indices of physical activity were associated with higher values of total body fat and central adiposity. This result was constant regardless of the indices used to estimate adiposity. However, the association between MedDiet and obesity indices was much less marked and more dependent on sex than that observed for physical activity. Lean body mass was influenced by neither physical activity nor MedDiet adherence. No joint effect between physical activity and MedDiet to lower estimated total or central adiposity indices was shown. In conclusion, physical activity is related to lower obesity indices in a large cohort of middle-aged subjects. MedDiet showed a slight impact on estimated anthropometric indices, with no joint effect when considering both lifestyle variables. ClinTrials.gov Identifier: NCT03228459. [ABSTRACT FROM AUTHOR]

Published
2019
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44. Skin Autofluorescence Measurement in Subclinical Atheromatous Disease: Results from the ILERVAS Project.

Author

Sánchez E, Betriu À, Yeramian A, Fernández E, Purroy F, Sánchez-de-la-Torre M, Pamplona R, Miquel E, Kerkeni M, Hernández C, Simó R, Lecube A, Hernández M, Rius F, Polanco D, Barbé F, Torres G, Suárez G, Portero-Otin M, Jové M, Colàs-Campàs L, Benabdelhak I, Farràs C, Ortega M, Manuel Valdivielso J, Bermúdez-López M, and Martínez-Alonso M

Subjects
Arginine metabolism, Case-Control Studies, Cross-Sectional Studies, Female, Fluorescence, Follow-Up Studies, Humans, Lysine metabolism, Male, Middle Aged, Optical Imaging, Plaque, Atherosclerotic metabolism, Prognosis, Prospective Studies, ROC Curve, Arginine analogs & derivatives, Glycation End Products, Advanced metabolism, Lysine analogs & derivatives, Plaque, Atherosclerotic diagnosis, Skin metabolism
Abstract

Aim: Advanced glycation end-products (AGEs) have been involved in the atherogenic process in the high-risk population. The goal of this study was to demonstrate that AGEs are related to subclinical atheromatous disease in subjects with low to moderate vascular risk., Methods: A cross-sectional study in which 2,568 non-diabetic subjects of both sexes without cardiovascular disease were included. Subcutaneous content of AGEs was assessed by skin autofluorescence (SAF) and subclinical atheromatous disease was measured by assessing the atheromatous plaque burden in carotid and femoral regions using ultrasonography. In addition, serum pentosidine, carboxymethyl-lysine (CML) and AGE receptors (RAGE) were assessed in a nested case-control study with 41 subjects without plaque and 41 individuals subjects with generalized disease., Results: Patients with atheromatous plaque had a higher SAF than those with no plaque (1.9 [1.7 to 2.3] vs. 1.8 [1.6 to 2.1] arbitrary units (AU), p＜0.001). The SAF correlated with the total number of affected regions (r= 0.171, p＜0.001), increasing progressively from 1.8 [1.6 to 2.1] AU in those without atheromatous disease to 2.3 [1.9 to 2.7] AU in patients with ≥ 8 plaques (p＜0.001). A correlation was also observed between SAF and the total plaque area (r=0.113, p＜0.001). The area under the Receiver Operating Characteristic curve was 0.65 (0.61 to 0.68) for identifying male subjects with atheromatous disease. The multivariable logistic regression model showed a significant and independent association between SAF and the presence of atheromatous disease. However, no significant differences in serum pentosidine, CML, and RAGE were observed., Conclusions: Increased subcutaneous content of AGEs is associated with augmented atheromatous plaque burden. Our results suggest that SAF may provide clinically relevant information to the current strategies for the evaluation of cardiovascular risk, especially among the male population.

Published
2019
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45. Benign and malignant nodular thyroid disease in acromegaly. Is a routine thyroid ultrasound evaluation advisable?

Author

Reverter JL, Fajardo C, Resmini E, Salinas I, Mora M, Llatjós M, Sesmilo G, Rius F, Halperin I, Webb SM, Ricart V, Riesgo P, Mauricio D, and Puig-Domingo M

Subjects
Acromegaly diagnosis, Aged, Cross-Sectional Studies, Diagnosis, Differential, Female, Humans, Male, Middle Aged, Organ Size, Thyroid Gland diagnostic imaging, Thyroid Gland pathology, Thyroid Neoplasms diagnostic imaging, Thyroid Nodule diagnostic imaging, Ultrasonography, Acromegaly complications, Thyroid Neoplasms complications, Thyroid Neoplasms pathology, Thyroid Nodule complications, Thyroid Nodule pathology
Abstract

Data on the prevalence of benign and malignant nodular thyroid disease in patients with acromegaly is a matter of debate. In the last decade an increasing incidence of thyroid cancer has been reported. The aim of this study was to evaluate the prevalence of goiter, thyroid nodules and thyroid cancer in a large series of patients with acromegaly with a cross-sectional study with a control group. Six Spanish university hospitals participated. One hundred and twenty three patients (50% men; mean age 59±13 years; disease duration 6.7±7.2 years) and 50 controls (51% males, mean age 58±15 years) were studied. All participants underwent thyroid ultrasound and fine needle aspiration. Cytological analysis was performed in suspicious nodules between 0.5 and 1.0 cm and in all nodules greater than 1.0 cm. Goiter was more frequently found in patients than in controls (24.9 vs. 8.3%, respectively; p<0.001). Nodular thyroid disease as well as nodules greater than 1 cm were also more prevalent in acromegalic patients (64.6%, vs. 28.6%, p<0.05 and 53.3 vs. 28.6%, respectively; p<0.05), and all underwent fine needle aspiration. Suspicious cytology was detected in 4 patients and in none of the controls. After thyroidectomy, papillary thyroid carcinoma was confirmed in two cases (3.3% of patients with thyroid nodules), representing 1.6% of the entire group of patients with acromegaly (2.4% including a case with previously diagnosed papillary thyroid carcinoma). These data indicated that thyroid nodular disease and cancer are increased in acromegaly, thus justifying its routine ultrasound screening.

Published
2014
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46. [Current controversies in glycemic control targets. What do the results of the latest clinical trials tell us about the approach to type 2 diabetes mellitus?].

Author

Mauricio D and Rius F

Subjects
Cardiovascular Diseases complications, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 drug therapy, Humans, Blood Glucose, Cardiovascular Diseases prevention & control, Diabetes Mellitus, Type 2 blood, Hypoglycemic Agents therapeutic use
Abstract

The aim of this article is to discuss the implications of the results obtained in the latest large-scale clinical trials designed to evaluate the effect of intensive glycemic control on the vascular complications associated with type 2 diabetes mellitus. The current scientific evidence is reviewed and the implications of the ACCORD (The Action to Control Cardiovascular Risk in Diabetes study group), ADVANCE (Action in Diabetes and Vascular disease: Preterax and Diamicron Modified Release Control Evaluation) and VADT (Veterans Affairs Diabetes Trial) clinical trials are discussed. General concerns of the studies and their implications for clinical practice and the management of type 2 diabetes, as well as the questions which still need to be answered by future clinical research are discussed., (Copyright © 2010 Elsevier España S.L. All rights reserved.)

Published
2010
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