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Daniele Bottigliengo
Researcher at University of Padua
Publications - 39
Citations - 247
Daniele Bottigliengo is an academic researcher from University of Padua. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 6, co-authored 28 publications receiving 98 citations.
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Journal ArticleDOI
Prognostic validation of partition values for quantitative parameters to grade functional tricuspid regurgitation severity by conventional echocardiography.
Denisa Muraru,Marco Previtero,Roberto C. Ochoa-Jimenez,A C Guta,Stefano Figliozzi,Dario Gregori,Daniele Bottigliengo,Gianfranco Parati,Luigi P. Badano +8 more
TL;DR: This outcome study demonstrates the prognostic value of quantitative parameters of TR severity and provides prognostically meaningful threshold values to grade TR severity in low, intermediate, and high risk.
Journal ArticleDOI
Use and effectiveness of dapagliflozin in routine clinical practice: An Italian multicentre retrospective study.
Gian Paolo Fadini,Giancarlo Zatti,Ileana Baldi,Daniele Bottigliengo,Agostino Consoli,Andrea Giaccari,Giorgio Sesti,Angelo Avogaro +7 more
TL;DR: This real‐world study shows an initial channelling of dapagliflozin to difficult‐to‐treat patients and provides significant benefits with regard to glucose control, body weight and blood pressure that were in line with findings from RCTs.
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Comparison of Machine Learning Techniques for Prediction of Hospitalization in Heart Failure Patients.
Giulia Lorenzoni,Stefano Santo Sabato,Corrado Lanera,Daniele Bottigliengo,Clara Minto,Honoria Ocagli,Paola de Paolis,Dario Gregori,Sabino Iliceto,Franco Pisanò +9 more
TL;DR: It is suggested that MLTs may represent a promising opportunity to predict hospital admission of heart failure patients by exploiting health care information generated by the contact of such patients with the health care system.
Journal ArticleDOI
Similar effectiveness of dapagliflozin and GLP-1 receptor agonists concerning combined endpoints in routine clinical practice: A multicentre retrospective study.
Gian Paolo Fadini,Veronica Sciannameo,I. Franzetti,Daniele Bottigliengo,Paola D'Angelo,Carmela Vinci,Paola Berchialla,Salvatore Arena,Raffaella Buzzetti,Angelo Avogaro,Agostino Consoli,Gloria Formoso,Giovanni Battista Grossi,A. Pucci,Giorgio Sesti,Francesco Andreozzi,G. Capobianco,A. Gatti,Riccardo C. Bonadonna,Ivana Zavaroni,A. D. Cas,G. Felace,P. L. Volsi,Gaetano Leto,G. P. Sorice,Susanna Morano,Antonio Bossi,E. Duratorre,Paola Silvia Morpurgo,Emanuela Orsi,F. Querci,Massimo Boemi,Federica D'Angelo,M. Petrelli,G. Aimaretti,I. Karamouzis,Franco Cavalot,G. Saglietti,G. Cazzetta,S. Cervone,E. Devangelio,Olga Lamacchia,A. Di Benedetto,Lucia Frittitta,Carla Giordano,Salvatore Piro,Manfredi Rizzo,Roberta Chianetta,Carlo Mannina,Roberto Anichini,Giuseppe Penno,Anna Solini,B. Fattor,Enzo Bonora,Massimo Cigolini,Annunziata Lapolla,Nino Cristiano Chilelli,M. Poli,Natalino Simioni,Vera Frison +59 more
TL;DR: This real‐world study compared the simultaneous reductions in HbA1c, body weight and systolic blood pressure after initiation of dapagliflozin or GLP‐1RA as second or a more advanced line of therapy.
Journal ArticleDOI
The Role of Genetic Factors in Characterizing Extra-Intestinal Manifestations in Crohn's Disease Patients: Are Bayesian Machine Learning Methods Improving Outcome Predictions?
Daniele Bottigliengo,Paola Berchialla,Corrado Lanera,Danila Azzolina,Giulia Lorenzoni,Matteo Martinato,Daniela Giachino,Ileana Baldi,Dario Gregori +8 more
TL;DR: This study shows that BMLTs perform worse than expected in classifying the presence of EIMs compared to classical statistical tools in a context where mixed genetic and clinical data are available but relevant data are also missing, as often occurs in clinical practice.