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Your search keyword '"Julia Fernández-Melón"' showing total 2 results
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1. Prevalence and clinical characteristics of patients with rheumatoid arthritis with interstitial lung disease using unstructured healthcare data and machine learning

Author

Raul Castellanos-Moreira, Diego Benavent, Alejandra López Robles, Ernesto Trallero-Araguás, Lucía Silva-Fernández, Juliana Restrepo, Jose A Román Ivorra, Maria Lopez Lasanta, Laura Cebrián, Leticia Lojo, Belén López-Muñíz, Julia Fernández-Melon, Belén Núñez, Raúl Veiga Cabello, Pilar Ahijado, Isabel De la Morena Barrio, Nerea Costas Torrijo, Belén Safont, Enrique Ornilla, Arantxa Campo, Jose L Andreu, Elvira Díez, Elena Bollo, David Vilanova, and Sara Luján Valdés

Subjects
Medicine
Abstract

Objectives Real-world data regarding rheumatoid arthritis (RA) and its association with interstitial lung disease (ILD) is still scarce. This study aimed to estimate the prevalence of RA and ILD in patients with RA (RAILD) in Spain, and to compare clinical characteristics of patients with RA with and without ILD using natural language processing (NLP) on electronic health records (EHR).Methods Observational case–control, retrospective and multicentre study based on the secondary use of unstructured clinical data from patients with adult RA and RAILD from nine hospitals between 2014 and 2019. NLP was used to extract unstructured clinical information from EHR and standardise it into a SNOMED-CT terminology. Prevalence of RA and RAILD were calculated, and a descriptive analysis was performed. Characteristics between patients with RAILD and RA patients without ILD (RAnonILD) were compared.Results From a source population of 3 176 165 patients and 64 241 683 EHRs, 13 958 patients with RA were identified. Of those, 5.1% patients additionally had ILD (RAILD). The overall age-adjusted prevalence of RA and RAILD were 0.53% and 0.02%, respectively. The most common ILD subtype was usual interstitial pneumonia (29.3%). When comparing RAILD versus RAnonILD patients, RAILD patients were older and had more comorbidities, notably concerning infections (33.6% vs 16.5%, p

Published
2024
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2. Use of risk chart algorithms for the identification of psoriatic arthritis patients at high risk for cardiovascular disease: findings derived from the project CARMA cohort after a 7.5-year follow-up period

Author

Jesús Tornero, Alba Erra, Santos Castañeda, Carolina Pérez-García, Raimon Sanmartí, Sara Marsal, Ingrid Moller, Esperanza Naredo, Miguel A González-Gay, Celia Erausquin, Ivan Castellví, Javier Llorca, Alejandro Muñoz, María Galindo, Enrique Raya, Lydia Abasolo, Gema Bonilla, Alfonso Corrales, Inmaculada Ureña, Carlos Rodríguez-Lozano, Carlos González-Juanatey, Cristina Fernandez Carballido, Francisco J López-Longo, Miguel Ángel González-Gay, Eduardo Collantes, José A Miranda-Filloy, Sagrario Bustabad, Indalecio Monteagudo, Jose A Piqueras, Tatiana Cobo, Joan Maymó, Carmen Barbadillo, Soledad Ojeda, Jaime Calvo Alen, Antonio Fernandez Nebro, Isabel Rodríguez, Pilar Font, Martina Steiner, Eugenio Chamizo Carmona, Beatriz González Álvarez, Santiago Munoz, Joan M Nolla, Fernando Sánchez-Alonso, Julio Sanchez, Raul Menor Almagro, Ana Pérez Gómez, Monica Ibañez, Elena Heras-Recuero, Trinidad Pérez Sandoval, Miren Uriarte-Ecenarro, Angela Pecondón, Hye Sang Park, Jessica Polo y La Borda, Zulema Plaza, Carmen García Gómez, Ivan Ferraz-Amaro, Jesús Tomás Sanchez-Costa, Olga Carmen Sánchez-González, Ana Isabel Turrión-Nieves, Ana Perez-Alcalá, José L FernándezSueiro, José A Pinto-Tasende, Eugenia Gonzálezde Rábago, María J González-Fernández, Ramón Huguet Codina, Beatriz Yoldi, Mercedes Ramentol, Gabriela Ávila, Cayetano Alegre, Fernando Gamero, José García Torón, María P Moreno-Gil, Antonio Juan-Mas, Pilar Espiño, Inmaculada Ros, Horacio Berman, Oscar Fontseré Patón, Benjamín Fernández Gutiérrez, José M Pina-Salvador, María D Fábregas, Montserrat Romera, Jesús A García-Vadillo, Rosario García de Vicuña, María A Belmonte, María V Irigoyen, Olga Martínez González, Rebeca Belmonte Gómez, Pastora Granados Bautista, Azucena Hernández Sanz, José Santos Rey, Carmen O Sánchez-González, Javier Bachiller, Antonio Zea, Francisco J Manero, Chesús Beltrán Audera, Marta Medrano, Jesús Babío Herráez, Javier del Pino, Ruth López González, María Enriqueta Peiró, José M Senabre, José C Rosas, Isabel Rotés, Estefanía Moreno, Javier Calvo, Amalia Rueda, Pilar Morales, Ana Nieto, Ana Ruibal Escribano, Sergio Ros Expósito, Ginés Sánchez Nievas, Enrique Júdez Navarro, Manuela Sianes Fernández, Silvia Martínez Pardo, Manel Pujol, Alberto Cantabrana, Esmeralda Delgado, Sergio Rodríguez Montero, Javier Rivera Redondo, Teresa González Hernández, Francisco J González-Polo, José M Moreno, Emilio Giner Serret, Laura Cebrián Méndez, María Teresa Navío, Teresa Pedraz Penalva, Encarnación Pagán, Pablo Mesadel Castillo, Ana Cruz, Ana Turrión, Desireé Ruíz, Antonio López Meseguer, Manuel J Moreno, Luis F Linares, Mercedes Morcillo, María L González-Gómez, José M Aramburu, Natalia A Rivera, Olaia Fernández Berrizbeitia, Manel Riera, Yolanda María León, Miriam Amirall, Jordi Fiter, Julia Fernández Melón, Luis Espadaler, Joaquín Belzunegui, Inmaculada Bañegil, César Díaz, Ramón Valls, María Bonet, Eva Revuelta Evrard, Javier R Godo, and José A González-Fernández

Subjects
Medicine
Abstract

Objective To assess the predictive value of four cardiovascular (CV) risk algorithms for identifying high-risk psoriatic arthritis (PsA) patients.Methods Evaluation of patients with PsA enrolled in the Spanish prospective project CARdiovascular in RheuMAtology. Baseline data of 669 PsA patients with no history of CV events at the baseline visit, who were followed in rheumatology outpatient clinics at tertiary centres for 7.5 years, were retrospectively analysed to test the performance of the Systematic Coronary Risk Assessment (SCORE), the modified version (mSCORE) European Alliance of Rheumatology Associations (EULAR) 2015/2016, the SCORE2 algorithm (the updated and improved version of SCORE) and the QRESEARCH risk estimator version 3 (QRISK3).Results Over 4790 years of follow-up, there were 34 CV events, resulting in a linearised rate of 7.10 per 1000 person-years (95% CI 4.92 to 9.92). The four CV risk scales showed strong correlations and all showed significant associations with CV events (p

Published
2024
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