Scagnetto A - Search Results

1

Flexible Approaches Based on Multistate Models and Microsimulation to Perform Real-World Cost-Effectiveness Analyses: An Application to Proprotein Convertase Subtilisin-Kexin Type 9 Inhibitors.

Gregorio C, Rea F, Ieva F, Scagnetto A, Indennidate C, Cappelletto C, Di Lenarda A, Barbati G. Gregorio C, et al. Among authors: scagnetto a. Value Health. 2024 Mar 26:S1098-3015(24)00123-2. doi: 10.1016/j.jval.2024.03.008. Online ahead of print. Value Health. 2024. PMID: 38548178 Free article.

2

Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillation.

Baj G, Gandin I, Scagnetto A, Bortolussi L, Cappelletto C, Di Lenarda A, Barbati G. Baj G, et al. Among authors: scagnetto a. BMC Med Res Methodol. 2023 Jul 22;23(1):169. doi: 10.1186/s12874-023-01989-3. BMC Med Res Methodol. 2023. PMID: 37481514 Free PMC article.

3

Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohort study.

Gandin I, Saccani S, Coser A, Scagnetto A, Cappelletto C, Candido R, Barbati G, Di Lenarda A. Gandin I, et al. Among authors: scagnetto a. PLoS One. 2023 Feb 21;18(2):e0281878. doi: 10.1371/journal.pone.0281878. eCollection 2023. PLoS One. 2023. PMID: 36809251 Free PMC article.

4

Patient adherence to drug treatment in a community based-sample of patients with chronic heart failure.

Rea F, Iorio A, Barbati G, Bessi R, Castrichini M, Nuzzi V, Scagnetto A, Senni M, Corrao G, Sinagra G, Di Lenarda A. Rea F, et al. Among authors: scagnetto a. Int J Cardiol. 2022 Feb 15;349:144-149. doi: 10.1016/j.ijcard.2021.11.018. Epub 2021 Nov 18. Int J Cardiol. 2022. PMID: 34801616 Free article. No abstract available.

5

Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit.

Gandin I, Scagnetto A, Romani S, Barbati G. Gandin I, et al. Among authors: scagnetto a. J Biomed Inform. 2021 Sep;121:103876. doi: 10.1016/j.jbi.2021.103876. Epub 2021 Jul 27. J Biomed Inform. 2021. PMID: 34325021 Free article.

6

Sex-related differences in chronic heart failure: a community-based study.

Russo G, Rea F, Barbati G, Cherubini A, Stellato K, Scagnetto A, Iorio A, Corrao G, Di Lenarda A. Russo G, et al. Among authors: scagnetto a. J Cardiovasc Med (Hagerstown). 2021 Jan;22(1):36-44. doi: 10.2459/JCM.0000000000001049. J Cardiovasc Med (Hagerstown). 2021. PMID: 32740424

7

CHA₂DS₂-VASc Score Predicts Adverse Outcome in Patients with Simple Congenital Heart Disease Regardless of Cardiac Rhythm.

Faganello G, Barbati G, Russo G, Scagnetto A, Mazzone C, Mottolese BD', Zaccari M, Sinagra G, Lenarda AD, Cioffi G. Faganello G, et al. Among authors: scagnetto a. Pediatr Cardiol. 2020 Jun;41(5):1051-1057. doi: 10.1007/s00246-020-02356-5. Epub 2020 May 5. Pediatr Cardiol. 2020. PMID: 32372107 Free article.

8

Adherence to Disease-Modifying Therapy in Patients Hospitalized for HF: Findings from a Community-Based Study.

Spreafico M, Gasperoni F, Barbati G, Ieva F, Scagnetto A, Zanier L, Iorio A, Sinagra G, Di Lenarda A. Spreafico M, et al. Among authors: scagnetto a. Am J Cardiovasc Drugs. 2020 Apr;20(2):179-190. doi: 10.1007/s40256-019-00367-z. Am J Cardiovasc Drugs. 2020. PMID: 31444666

9

HF progression among outpatients with HF in a community setting.

Iorio A, Rea F, Barbati G, Scagnetto A, Peruzzi E, Garavaglia A, Corrao G, Sinagra G, Di Lenarda A. Iorio A, et al. Among authors: scagnetto a. Int J Cardiol. 2019 Feb 15;277:140-146. doi: 10.1016/j.ijcard.2018.08.049. Epub 2018 Aug 16. Int J Cardiol. 2019. PMID: 30131230

10

Multi-state modelling of heart failure care path: A population-based investigation from Italy.

Gasperoni F, Ieva F, Barbati G, Scagnetto A, Iorio A, Sinagra G, Di Lenarda A. Gasperoni F, et al. Among authors: scagnetto a. PLoS One. 2017 Jun 7;12(6):e0179176. doi: 10.1371/journal.pone.0179176. eCollection 2017. PLoS One. 2017. PMID: 28591172 Free PMC article.

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