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Your search keyword '"Rodríguez, Sara"' showing total 2,182 results
Start Over Author "Rodríguez, Sara" Publication Type Periodicals
2,182 results on '"Rodríguez, Sara"'

1. Twice-Daily Dosing of Dolutegravir in Infants on Rifampicin Treatment: A Pharmacokinetic Substudy of the EMPIRICAL Trial.

Author

Jacobs, Tom, Mumbiro, Vivian, Cassia, Uneisse, Zimba, Kevin, Nalwanga, Damalie, Ballesteros, Alvaro, Domínguez-Rodríguez, Sara, Tagarro, Alfredo, Madrid, Lola, Mutata, Constantine, Chitsamatanga, Moses, Bwakura-Dangarembizi, Mutsa, Passanduca, Alfeu, Buck, W, Nduna, Bwendo, Chabala, Chishala, Najjingo, Elizabeth, Musiime, Victor, Moraleda, Cinta, Colbers, Angela, Mujuru, Hilda, Rojo, Pablo, and Burger, David

Subjects
HIV, dolutegravir, drug–drug interaction, infants, rifampicin, Female, Humans, Infant, Male, Heterocyclic Compounds, 3-Ring, HIV, HIV Infections, Oxazines, Piperazines, Pyridones, Rifampin
Abstract

BACKGROUND: We evaluated dolutegravir pharmacokinetics in infants with human immunodeficiency virus (HIV) receiving dolutegravir twice daily (BID) with rifampicin-based tuberculosis (TB) treatment compared with once daily (OD) without rifampicin. METHODS: Infants with HIV aged 1-12 months, weighing ≥3 kg, and receiving dolutegravir BID with rifampicin or OD without rifampicin were eligible. Six blood samples were taken over 12 (BID) or 24 hours (OD). Dolutegravir pharmacokinetic parameters, HIV viral load (VL) data, and adverse events (AEs) were reported. RESULTS: Twenty-seven of 30 enrolled infants had evaluable pharmacokinetic curves. The median (interquartile range) age was 7.1 months (6.1-9.9), weight was 6.3 kg (5.6-7.2), 21 (78%) received rifampicin, and 11 (41%) were female. Geometric mean ratios comparing dolutegravir BID with rifampicin versus OD without rifampicin were area under curve (AUC)0-24h 0.91 (95% confidence interval, .59-1.42), Ctrough 0.95 (0.57-1.59), Cmax 0.87 (0.57-1.33). One infant (5%) receiving rifampicin versus none without rifampicin had dolutegravir Ctrough

Published
2024

5. First-Line Antituberculosis Drug Concentrations in Infants With HIV and a History of Recent Admission With Severe Pneumonia.

Author

Chabala, Chishala, Jacobs, Tom, Moraleda, Cinta, Ndaferankhande, John, Mumbiro, Vivian, Passanduca, Alfeu, Namuziya, Natasha, Nalwanga, Damalie, Musiime, Victor, Ballesteros, Alvaro, Domínguez-Rodríguez, Sara, Chitsamatanga, Moses, Cassia, Uneisse, Nduna, Bwendo, Bramugy, Justina, Sacarlal, Jahit, Madrid, Lola, Nathoo, Kusum, Colbers, Angela, Burger, David, Mulenga, Veronica, Buck, William, Mujuru, Hilda, Te Brake, Lindsey, Rojo, Pablo, Tagarro, Alfredo, and Aarnoutse, Rob

Subjects
HIV, HRZE, Tuberculosis, infants, pharmacokinetics, Adult, Infant, Humans, Antitubercular Agents, HIV Infections, Pneumonia, Reference Values
Abstract

Optimal antituberculosis therapy is essential for favorable clinical outcomes. Peak plasma concentrations of first-line antituberculosis drugs in infants with living HIV receiving WHO-recommended dosing were low compared with reference values for adults, supporting studies on increased doses of first-line TB drugs in infants.

Published
2023

6. Brief Report: Suboptimal Lopinavir Exposure in Infants on Rifampicin Treatment Receiving Double-dosed or Semisuperboosted Lopinavir/Ritonavir: Time for a Change

Author

Jacobs, Tom G, Mumbiro, Vivian, Chitsamatanga, Moses, Namuziya, Natasha, Passanduca, Alfeu, Domínguez-Rodríguez, Sara, Tagarro, Alfredo, Nathoo, Kusum J, Nduna, Bwendo, Ballesteros, Alvaro, Madrid, Lola, Mujuru, Hilda A, Chabala, Chishala, Buck, W Chris, Rojo, Pablo, Burger, David M, Moraleda, Cinta, and Colbers, Angela

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Pediatric, HIV/AIDS, Infectious Diseases, Clinical Research, Clinical Trials and Supportive Activities, Pediatric AIDS, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Infection, Good Health and Well Being, Male, Infant, Humans, Child, Female, Lopinavir, Ritonavir, Rifampin, HIV Infections, Anti-HIV Agents, HIV Protease Inhibitors, lopinavir, infants, rifampin, HIV, tuberculosis, drug-drug interaction, EMPIRICAL Clinical Trial Group, Public Health and Health Services, Virology, Clinical sciences, Epidemiology, Public health
Abstract

BackgroundAlthough super-boosted lopinavir/ritonavir (LPV/r; ratio 4:4 instead of 4:1) is recommended for infants living with HIV and receiving concomitant rifampicin, in clinical practice, many different LPV/r dosing strategies are applied due to poor availability of pediatric separate ritonavir formulations needed to superboost. We evaluated LPV pharmacokinetics in infants with HIV receiving LPV/r dosed according to local guidelines in various sub-Saharan African countries with or without rifampicin-based tuberculosis (TB) treatment.MethodsThis was a 2-arm pharmacokinetic substudy nested within the EMPIRICAL trial (#NCT03915366). Infants aged 1-12 months recruited into the main study were administered LPV/r according to local guidelines and drug availability either with or without rifampicin-based TB treatment; during rifampicin cotreatment, they received double-dosed (ratio 8:2) or semisuperboosted LPV/r (adding a ritonavir 100 mg crushed tablet to the evening LPV/r dose). Six blood samples were taken over 12 hours after intake of LPV/r.ResultsIn total, 14/16 included infants had evaluable pharmacokinetic curves; 9/14 had rifampicin cotreatment (5 received double-dosed and 4 semisuperboosted LPV/r). The median (IQR) age was 6.4 months (5.4-9.8), weight 6.0 kg (5.2-6.8), and 10/14 were male. Of those receiving rifampicin, 6/9 infants (67%) had LPV Ctrough

Published
2023

7. Empirical treatment against cytomegalovirus and tuberculosis in HIV-infected infants with severe pneumonia: study protocol for a multicenter, open-label randomized controlled clinical trial

Author

Rojo, Pablo, Moraleda, Cinta, Tagarro, Alfredo, Domínguez-Rodríguez, Sara, Castillo, Lola Madrid, Tato, Luis Manuel Prieto, López, Aranzazu Sancho, Manukyan, Lilit, Marcy, Olivier, Leroy, Valeriane, Nardone, Alessandra, Burger, David, Bassat, Quique, Bates, Matthew, Moh, Raoul, Iroh Tam, Pui-Ying, Mvalo, Tisungane, Magallhaes, Justina, Buck, W Chris, Sacarlal, Jahit, Musiime, Victor, Chabala, Chishala, and Mujuru, Hilda Angela

Subjects
Medical Microbiology, Biomedical and Clinical Sciences, Rare Diseases, Pneumonia, Clinical Trials and Supportive Activities, Tuberculosis, Pediatric, Patient Safety, HIV/AIDS, Clinical Research, Pneumonia & Influenza, Lung, Orphan Drug, Infectious Diseases, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Infection, Good Health and Well Being, Child, Clinical Trials, Phase II as Topic, Cytomegalovirus, Cytomegalovirus Infections, HIV Infections, Humans, Infant, Multicenter Studies as Topic, Randomized Controlled Trials as Topic, Treatment Outcome, Valganciclovir, Factorial, Empirical, HIV, Infants, Child mortality, Factorial randomized clinical trial, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Cardiovascular System & Hematology, General & Internal Medicine, Clinical sciences, Epidemiology, Health services and systems
Abstract

BackgroundPneumonia is the primary cause of death among HIV-infected children in Africa, with mortality rates as high as 35-40% in infants hospitalized with severe pneumonia. Bacterial pathogens and Pneumocystis jirovecii are well known causes of pneumonia-related death, but other important causes such as cytomegalovirus (CMV) and tuberculosis (TB) remain under-recognized and undertreated. The immune response elicited by CMV may be associated with the risk of developing TB and TB disease progression, and CMV may accelerate disease caused both by HIV and TB. Minimally invasive autopsies confirm that CMV and TB are unrecognized causes of death in children with HIV. CMV and TB may also co-infect the same child. The aim of this study is to compare the impact on 15-day and 1-year mortality of empirical treatment against TB and CMV plus standard of care (SoC) versus SoC in HIV-infected infants with severe pneumonia.MethodsThis is a Phase II-III, open-label randomized factorial (2 × 2) clinical trial, conducted in six African countries. The trial has four arms. Infants from 28 to 365 days of age HIV-infected and hospitalized with severe pneumonia will be randomized (1:1:1:1) to (i) SoC, (ii) valganciclovir, (iii) TB-T, and (iv) TB-T plus valganciclovir. The primary endpoint of the study is all-cause mortality, focusing on the short-term (up to 15 days) and long-term (up to 1 year) mortality. Secondary endpoints include repeat hospitalization, duration of oxygen therapy during initial admission, severe and notable adverse events, adverse reactions, CMV and TB prevalence at enrolment, TB incidence, CMV viral load reduction, and evaluation of diagnostic tests such as GeneXpert Ultra on fecal and nasopharyngeal aspirate samples and urine TB-LAM.DiscussionGiven the challenges in diagnosing CMV and TB in children and results from previous autopsy studies that show high rates of poly-infection in HIV-infected infants with respiratory disease, this study aims to evaluate a new approach including empirical treatment of CMV and TB for this patient population. The potential downsides of empirical treatment of these conditions include toxicity and medication interactions, which will be evaluated with pharmacokinetics sub-studies.Trial registrationClinicalTrials.gov , NCT03915366, Universal Trial Number U111-1231-4736, Pan African Clinical Trial Registry PACTR201994797961340.

Published
2022

9. An overview of machine learning and deep learning techniques for predicting epileptic seizures

Author

Zurdo-Tabernero Marco, Canal-Alonso Ángel, de la Prieta Fernando, Rodríguez Sara, Prieto Javier, and Corchado Juan Manuel

Subjects
seizure prediction, machine learning, epilepsy, electroencephalogram, Biotechnology, TP248.13-248.65
Abstract

Epilepsy is a neurological disorder (the third most common, following stroke and migraines). A key aspect of its diagnosis is the presence of seizures that occur without a known cause and the potential for new seizures to occur. Machine learning has shown potential as a cost-effective alternative for rapid diagnosis. In this study, we review the current state of machine learning in the detection and prediction of epileptic seizures. The objective of this study is to portray the existing machine learning methods for seizure prediction. Internet bibliographical searches were conducted to identify relevant literature on the topic. Through cross-referencing from key articles, additional references were obtained to provide a comprehensive overview of the techniques. As the aim of this paper aims is not a pure bibliographical review of the subject, the publications here cited have been selected among many others based on their number of citations. To implement accurate diagnostic and treatment tools, it is necessary to achieve a balance between prediction time, sensitivity, and specificity. This balance can be achieved using deep learning algorithms. The best performance and results are often achieved by combining multiple techniques and features, but this approach can also increase computational requirements.

Published
2023
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14. Delitos ambientales en Colombia

Author

AGUDELO, ANDREA, primary, TORRES, JAIME, additional, SALEK, JOEL, additional, MOSCOSO, SEBASTIÁN, additional, GORDILLO, GINA, additional, RODRÍGUEZ, SARA, additional, PALACIOS, LUZ ÁNGELA PATIÑO, additional, TREJOS, DANY JULIÁN TAPASCO, additional, and CAYCEDO, PAULA GALLO, additional

Published
2023
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15. High mortality following early initiation of antiretroviral therapy in infants living with HIV from three African countries

Author

Tagarro, Alfredo, Domínguez-Rodríguez, Sara, Cotton, Mark, Otwombe, Kennedy, Klein, Nigel, Lain, Maria Grazia, Nhampossa, Tacilta, Maiga, Almoustapha Issiaka, Barnabas, Shaun, Vaz, Paula, Violari, Avy, Fernández-Luis, Sheila, Behuhuma, Osee, Sylla, Mariam, López-Varela, Elisa, Naniche, Denise, Janse-Van-Rensburg, Anita, Liberty, Afaaf, Ramsagar, Nastassja, Smit, Theresa, Makhari, Senamile, Ismael, Nalia, Giaquinto, Carlo, Rossi, Paolo, Kuhn, Louise, Palma, Paolo, Spyer, Moira, Lichterfeld, Mathias, Nastuoli, Eleni, Giannuzzi, Viviana, Ballesteros, Alvaro, Cotugno, Nicola, Morrocchi, Elena, Oletto, Andrea, Traoré, Fatoumata Tata, Dobbels, Els, Akhalwaya, Yasmeen, Ording-Jespersen, Gregory, Foster, Caroline, Rabie, Helena, Amuge, Pauline, Brehin, Camille, Pahwa, Savita, Coulibaly, Yacouba Aba, and Rojo, Pablo

Published
2024
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19. T-Cell Immune Responses in Newborns and Long-Term Sequelae in Congenital Cytomegalovirus Infection (CYTRIC Study)

Author

Hernández, Judith, Pisón, Raquel Pinillos, Arnaiz, Eneritz Velasco, Villaverde, Serena, Vila, Sara, Rojo, Pablo, Epalza, Cristina, Moraleda, Cinta, Cooke, Elisa Fernández, Prieto, Luis, Zamora, Berta, Martínez de Aragón, Ana, Simón, Rogelio, Camacho, Ana, Machín, Fátima, Cabello, Laura, Romero, María Luz, Serna, Miquel, Martín, Marta, Esquivel-De la Fuente, Estrella, Calle, María de la, Rodríguez, Sara Domínguez, Cabanes, María, Gómez-Montes, Enery, Goncé, Anna, Bango, Marta Valdés, Viñuela-Benéitez, M<ce:sup loc='post">a</ce:sup> Carmen, Muñoz-Chápuli Gutiérrez, Mar, Pérez, Irene Cuadrado, Encinas, Begoña, Tagarro, Alfredo, Alcázar, Diana García, Burguillo, Antonio García, Martín, Roser Díez, Calavia, Olga, Salvia, Dolors, Olabarrieta, Iciar, Xiberta, Joan Manel, Jiménez Losa, Luz María, Soriano-Ramos, María, Pedrero-Tomé, Roberto, Giménez-Quiles, Estela, Albert, Eliseo, Baquero-Artigao, Fernando, Rodríguez-Molino, Paula, del Rosal, Teresa, Noguera-Julian, Antoni, Fortuny, Clàudia, Ríos-Barnés, María, Saavedra-Lozano, Jesús, Dueñas, Eva, Sánchez-Mateos, Miguel, Castells, Laura, de la Serna, María, Frick, Marie Antoinette, de Vergas, Joaquín, Núñez-Enamorado, Noemí, Moral-Pumarega, María Teresa, Folgueira, María Dolores, Navarro, David, and Blázquez-Gamero, Daniel

Published
2024
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23. Blockchain-Enabled Reward System for Sustainable Last-Mile Delivery in Urban Logistics: A Case Study on SimFleet Platform

Author

Mezquita, Yeray, Rodríguez, Sara, Palanca, Javier, Prieto, Javier, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Durães, Dalila, editor, González-Briones, Alfonso, editor, Lujak, Marin, editor, El Bolock, Alia, editor, and Carneiro, João, editor

Published
2023
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24. Station Balancing System of a Bike Sharing System by Means of a Multi-agent System in Collaboration with the User’s Decision

Author

Pérez-Lancho, Belén, González-Briones, Alfonso, Pinto, Blanca Mellado, Rodríguez, Sara, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Durães, Dalila, editor, González-Briones, Alfonso, editor, Lujak, Marin, editor, El Bolock, Alia, editor, and Carneiro, João, editor

Published
2023
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26. Machine Learning and Deep Learning Techniques for Epileptic Seizures Prediction: A Brief Review

Author

Hernández, Marco, Canal-Alonso, Ángel, de la Prieta, Fernando, Rodríguez, Sara, Prieto, Javier, Corchado, Juan Manuel, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Fdez-Riverola, Florentino, editor, Rocha, Miguel, editor, Mohamad, Mohd Saberi, editor, Caraiman, Simona, editor, and Gil-González, Ana Belén, editor

Published
2023
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29. Fuzzy clustering algorithms with distance metric learning and entropy regularization

Author

Rodriguez, Sara Ines Rizo and de Carvalho, Francisco de Assis Tenorio

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

The clustering methods have been used in a variety of fields such as image processing, data mining, pattern recognition, and statistical analysis. Generally, the clustering algorithms consider all variables equally relevant or not correlated for the clustering task. Nevertheless, in real situations, some variables can be correlated or may be more or less relevant or even irrelevant for this task. This paper proposes partitioning fuzzy clustering algorithms based on Euclidean, City-block and Mahalanobis distances and entropy regularization. These methods are an iterative three steps algorithms which provide a fuzzy partition, a representative for each fuzzy cluster, and the relevance weight of the variables or their correlation by minimizing a suitable objective function. Several experiments on synthetic and real datasets, including its application to noisy image texture segmentation, demonstrate the usefulness of these adaptive clustering methods.

Published
2021

31. Ensembles of Convolutional Neural Networks models for pediatric pneumonia diagnosis

Author

Liz, Helena, Sánchez-Montañés, Manuel, Tagarro, Alfredo, Domínguez-Rodríguez, Sara, Dagan, Ron, and Camacho, David

Subjects
Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Pneumonia is a lung infection that causes 15% of childhood mortality, over 800,000 children under five every year, all over the world. This pathology is mainly caused by viruses or bacteria. X-rays imaging analysis is one of the most used methods for pneumonia diagnosis. These clinical images can be analyzed using machine learning methods such as convolutional neural networks (CNN), which learn to extract critical features for the classification. However, the usability of these systems is limited in medicine due to the lack of interpretability, because of these models cannot be used to generate an understandable explanation (from a human-based perspective), about how they have reached those results. Another problem that difficults the impact of this technology is the limited amount of labeled data in many medicine domains. The main contributions of this work are two fold: the first one is the design of a new explainable artificial intelligence (XAI) technique based on combining the individual heatmaps obtained from each model in the ensemble. This allows to overcome the explainability and interpretability problems of the CNN "black boxes", highlighting those areas of the image which are more relevant to generate the classification. The second one is the development of new ensemble deep learning models to classify chest X-rays that allow highly competitive results using small datasets for training. We tested our ensemble model using a small dataset of pediatric X-rays (950 samples) with low quality and anatomical variability (which represents one of the biggest challenges). We also tested other strategies such as single CNNs trained from scratch and transfer learning using CheXNet. Our results show that our ensemble model outperforms these strategies obtaining highly competitive results. Finally, we confirmed the robustness of our approach using another pneumonia diagnosis dataset [1].

Published
2020
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33. Treatments for multi-system inflammatory syndrome in children — discharge, fever, and second-line therapies

Author

Tagarro, Alfredo, Domínguez-Rodríguez, Sara, Mesa, Juan Miguel, Epalza, Cristina, Grasa, Carlos, Iglesias-Bouzas, María Isabel, Fernández-Cooke, Elisa, Calvo, Cristina, Villaverde, Serena, Torres-Fernández, David, Méndez-Echevarria, Ana, Leoz, Inés, Fernández-Pascual, María, Saavedra-Lozano, Jesús, Soto, Beatriz, Aguilera-Alonso, David, Rivière, Jacques G., Fumadó, Victoria, Martínez-Campos, Leticia, Vivanco, Ana, Pilar-Orive, Francisco Javier, Alcalá, Pedro, Ruiz, Beatriz, López-Machín, Ana, Oltra, Manuel, and Moraleda, Cinta

Published
2023
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43. Interaction of particles with a cavitation bubble near a solid wall

Author

Teran, Leonel A., Rodriguez, Sara A., Laín, Santiago, and Jung, Sunghwan

Subjects
Physics - Fluid Dynamics
Abstract

Hard particle erosion and cavitation damage are two main wear problems that can affect the internal components of hydraulic machinery such as hydraulic turbines or pumps. If both problems synergistically act together, the damage can be more severe and result in high maintenance costs. In this work, a study of the interaction of hard particles and cavitation bubbles is developed to understand their interactive behavior. Experimental tests and numerical simulations using computational fluid dynamics (CFD) were performed. Experimentally, a cavitation bubble was generated with an electric spark near a solid surface, and its interaction with hard particles of different sizes and materials was observed using a high-speed camera. A simplified analytical approach was developed to model the behavior of the particles near the bubble interface during its collapse. Computationally, we simulated an air bubble that grew and collapsed near a solid wall while interacting with one particle near the bubble interface. Several simulations with different conditions were made and validated with the experimental data. The experimental data obtained from particles above the bubble were consistent with the numerical results and analytical study. The particle size, density and position of the particle with respect to the bubble interface strongly affected the maximum velocity of the particles.

Published
2018

44. LoRaWAN Module for the Measurement of Environmental Parameters and Control of Irrigation Systems for Agricultural and Livestock Facilities

Author

Márquez-Sánchez, Sergio, Herrera-Santos, Jorge, Alonso-Rollán, Sergio, Muñoz, Ana M. Pérez, Rodríguez, Sara, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Marreiros, Goreti, editor, Martins, Bruno, editor, Paiva, Ana, editor, Ribeiro, Bernardete, editor, and Sardinha, Alberto, editor

Published
2022
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46. 3D Virtual Application as a Guidance and Facility Management Tool Applied to University Buildings

Author

Veloz, Jorge, Extremera, Jamil, Vergara, Diego, Alcívar, Andrea, Rodríguez, Sara, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, De la Prieta, Fernando, editor, Gennari, Rosella, editor, Temperini, Marco, editor, Di Mascio, Tania, editor, Vittorini, Pierpaolo, editor, Kubincova, Zuzana, editor, Popescu, Elvira, editor, Rua Carneiro, Davide, editor, Lancia, Loreto, editor, and Addone, Agnese, editor

Published
2022
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47. Codebook-Based Near-Duplicate Video Detection

Author

Hernández, Guillermo, Arrieta, Angélica González, Novais, Paulo, Rodríguez, Sara, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Sanjurjo González, Hugo, editor, Pastor López, Iker, editor, García Bringas, Pablo, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2022
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48. Ventricular Repolarization Parameters and Coronary Involvement in Kawasaki Disease

Author

Fernandez-Cooke, Elisa, Calvo, Cristina, Sánchez-Manubens, Judith, Antón, Jordi, Santos, Javier Aracil, Cuadros, Esmeralda Nuñez, Navarro Gómez, Maria Luisa, Pérez, David Moreno, Cantero Pérez, María Martín, Cuadros Pérez, Esmeralda Nuñez, Gallego Pérez, Begoña Carazo, García, Fernando Sánchez, Lovillo, Marisol Camacho, Marqués, Renata, Laura, Olaf Neth, Silveira, Fernández, Forte, Miguel Sánchez, Montes, Ángeles Ortega, Martínez Campos, Leticia Isabel, Mancheño, Beatriz Bravo, Camacho, Margarita, Medina Claros, Antonio F., Salido, Carlos, Rico, María Torres, Saez, Beatriz Ruiz, de la Puebla Lechuga, Elena Fernadez, Cruz, M<ce:sup loc='post">a</ce:sup> José Lirola, Carrasco, Kety Maya, González, Moisés Rodríguez, Jover, Enrique Blanca, Fernández, José Uberos, Ibáñez Alcalde, María Mercedes, Hidalgo, Miguel Lafuente, Montañés, Lorenzo Jiménez, Alonso, Matilde Bustillo, Casas, Ariadna Ayerza, Zapico, Bárbara Montes, Méndez, Carlos Pérez, Aracama, Javier Fernández, Rodríguez, Lucía, Ibáñez Fernández, María Aleida, Campo, Sandra Navarro, Bori, Silvia Escribà, Mir Perelló, María Concepción, Sánchez, M<ce:sup loc='post">a</ce:sup> Ángeles de la Fuente, García, Patricia Aparicio, Briales, Carlos, Crespí, Joaquín Castilla, Colino Gil, María Elena, Cabrera, Nerea Delgado, Naranjo, Ana Bello, Páez, Jesús Poch, Yáñez, Moneyba García, García, Montse González, Viadero, Maite, Montero, Beatriz Jiménez, García, Olga Domínguez, Pinedo, Begoña Losada, Martín, Gema Iñigo, Escribano Gómez, Lucía María, Cepillo, Antonio, Lillo, Miguel Lillo, Buedo, María Isabel, Rey, Laura del, Rodríguez, Elena Urbaneja, Rodríguez, Sara Rellán, Cantero, Teresa, Izquierdo, Beatriz Plata, García-Cuenllas Álvarez, Luisa, Erroz, Ignacio Oulego, Santaolalla, Elena Pérez, Martín, Carlos Alcalde, Malfaz, Fernando Centeno, Gutiérrez, Elena Pérez, Casso, M<ce:sup loc='post">a</ce:sup> Soledad Jiménez, Prada, Fredy, Bou, Rosa, Iglesias, Estibaliz, Calzada, Joan, Garsaball, Olga Calavia, Rue, Marc Tobeña, García, Gemma Giralt, Lobato, Zulema, Gordillo, Neus Rius, Torres, Montserrat Pascual, Hernández, María Méndez, García, Lourdes, Villar, Sergio Flores, Ruiz, Silvia Yevenes, Domingo, Laura Minguell, Ballester, Anna, Miralles, Ana, Soler, Berta Pujol, Vidal, Anton Foguet, Castellví, Pere Sala, Aguiar, Angelita Serrano, Siurana Rodríguez, José Manuel, Iranzo, Anna Sangorrin, Pérez, Roser Álvarez, Cajas, Paula Ribes, Genaró i Jornet, Pere, Tejada, Ana Grande, Zarallo, Cristina, Martinón-Torres, Federico, Calle, Irene Rivero, Grande, Antonio Justicia, Sousa, María López, Vilas, Alejandro Souto, Abel, Bernardo López, de Miguel Esteban, Elisa, Méndez, Bibiana Riaño, Blázquez, Daniel, Conejo, Pablo Rojo, Lozano, Carlos Grasa, Toral, Belén, De la Torre, Leticia Albert, de Inocencio, Jaime, Santos, Mar, Díaz-Delgado de la Peña, Rafael, Ramos, Paz Collado, Raga, Teresa, Latorre, Libertad, Guillén, Sara, Caballero, Ignacio Callejas, Prieto Tato, Luis Manuel, Guzmán Monagas, María Fernanda, López, Isabel Jiménez, Villagrá, Sandra, Arreo, Viviana, Pérez, Roi Piñeiro, Parte, María de la, Tamariz-Martes, Amalia, Romano, Marta Llorente, Hernández Rupérez, Maria Belén, Sombrero, Henar Rojo, Cerro, Estefanía García, Cano, Irene Maté, Alonso, Marta Villares, Osuna Marco, Marta Pilar, Veron, Julia Jensen, Reales, Cristina Zarallo, Rodríguez Mesa, María Dolores, Esteban, Santiago Rueda, Ramos Amador, José Tomás, Menchén, Cristina González, Jiménez Jiménez, Ana Belén, Galán, Pilar, Campos, Dolores Pérez, Bueno, M<ce:sup loc='post">a</ce:sup> Mercedes, Marcos, David Crespo, Otheo de Tejada Barásoain, Enrique, Sifuentes Giraldo, Walter Alberto, Gámir Gámir, María Luz, José Cilleruelo Ortega, María, López, Agustín López, Vaquerizo, Cristina Sánchez, Usano Carrasco, Ana Isabel, Gómez, Ester Moreno, Carvajal del Castillo, Olga, Del Pozo Menéndez, Beatriz, Navarro, Katie Badillo, Baquero, Fernando, Bronte, Lucía Deiros, Fraga, Pablo Fernández, Domínguez, Nieves, Rodríguez, Beatriz Mercader, García, Francisco Castro, Chamorro, Águeda Herrera, Rodríguez, Paula Alcañiz, García, Moisés Sorlí, Rex Nicolás, María Concepción, Romero, Elena Vera, Olorón, Patricia Martínez, Cilveti, Beatriz Rocandio, Berridi, Amaia, Santos-Díez Vázquez, Laura, Fernández, Olaia, Calvo, Inmaculada, Tudela, Belén Fernández, Benavent, Manuel Oltra, Archilés, Marta Dapena, Ferrer, Franciasco Sanchez, Gavilán, César, Fos, Ignacio Izquierdo, Serrano Robles, María Isabel, Sánchez, Yolanda Herranz, Pinto, Enrique Villalobos, Garulo, Daniel Clemente, Pie, Stella, Calvo, Manuel Marrero, Olmos García, José María, Barrios-Tascón, Ana, Miura, Masaru, Domínguez-Rodríguez, Sara, Fernández-Cooke, Elisa, Sarquella-Brugada, Georgia, and Tagarro, Alfredo

Published
2021
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