%0 Journal Article %A Nyssen, Olga. P. %A Pratesi, Pietro %A Spinola, Miguel. A. %A Jonaitis, Laimas %A Perez-Aisa, Angeles %A Vaira, Dino %A Saracino, Ilaria Maria %A Pavoni, Matteo %A Fiorini, Giulia %A Tepes, Bojan %A Bordin, Dmitry. S. %A Voynovan, Irina %A Lanas, Angel %A Martinez-Dominguez, Samuel. J. %A Alfaro, Enrique %A Bujanda, Luis %A Pabon-Carrasco, Manuel %A Hernández, Luis %A Gasbarrini, Antonio %A Kupcinskas, Juozas %A Lerang, Frode %A Smith, Sinead. M. %A Gridnyev, Oleksiy %A Leja, Marcis %A Rokkas, Theodore %A Marcos-Pinto, Ricardo %A Mestrovic, Antonio %A Marlicz, Wojciech %A Milivojevic, Vladimir %A Simsek, Halis %A Kunovsky, Lumir %A Papp, Veronika %A Phull, Perminder. S. %A Venerito, Marino %A Boyanova, Lyudmila %A Boltin, Doron %A Niv, Yaron %A Matysiak-Budnik, Tamara %A Doulberis, Michael %A Dobru, Daniela %A Lamy, Vincent %A Capelle, Lisette. G. %A Trpchevska, Emilijia Nikolovska %A Moreira, Leticia %A Cano-Catalia, Anna %A Parra, Pablo %A Megraud, Francis %A O'Morain, Colm %A Ortega, Guillermo. J. %A Gisbert, Javier. P. %A Hp EuReg Investigators %T Analysis of Clinical Phenotypes through Machine Learning of First-Line H. pylori Treatment in Europe during the Period 2013–2022: Data from the European Registry on H. pylori Management (Hp-EuReg) %D 2023 %@ 2079-6382 %U https://hdl.handle.net/10668/28463 %X The segmentation of patients into homogeneous groups could help to improve eradication therapy effectiveness. Our aim was to determine the most important treatment strategies used in Europe, to evaluate first-line treatment effectiveness according to year and country. Data collection: All first-line empirical treatments registered at AEGREDCap in the European Registry on Helicobacter pylori management (Hp-EuReg) from June 2013 to November 2022. A Boruta method determined the "most important" variables related to treatment effectiveness. Data clustering was performed through multi-correspondence analysis of the resulting six most important variables for every year in the 2013-2022 period. Based on 35,852 patients, the average overall treatment effectiveness increased from 87% in 2013 to 93% in 2022. The lowest effectiveness (80%) was obtained in 2016 in cluster #3 encompassing Slovenia, Lithuania, Latvia, and Russia, treated with 7-day triple therapy with amoxicillin-clarithromycin (92% of cases). The highest effectiveness (95%) was achieved in 2022, mostly in Spain (81%), with the bismuth-quadruple therapy, including the single-capsule (64%) and the concomitant treatment with clarithromycin-amoxicillin-metronidazole/tinidazole (34%) with 10 (69%) and 14 (32%) days. Cluster analysis allowed for the identification of patients in homogeneous treatment groups assessing the effectiveness of different first-line treatments depending on therapy scheme, adherence, country, and prescription year. %K Helicobacter pylori %K clustering %K phenotyping %K machine learning %K treatment %K eradication %K Science & Technology %K Life Sciences & Biomedicine %~