Suchergebnisse - "Di Lenarda, Andrea"

PubPharm (466)

1

Flexible approaches based on multi-state models and microsimulation to perform real-world cost-effectiveness analyses : an application to pcsk9-inhibitors

enthalten in: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research | 2024

von Gregorio, C. | Rea, F. | Ieva, F. | +5

2

Simple scores to predict 1-year mortality in atrial fibrillation

enthalten in: Journal of cardiovascular medicine (Hagerstown, Md.) | 2024

von Cemin, R. | Maggioni, A. | Gonzini, L. | +6

3

ANMCO Position paper : States General 2023 - Digital medicine in cardiology: evidence and state of progress in Italy

enthalten in: Giornale italiano di cardiologia (2006) | 2024

von Di Fusco, S. | Zilio, F. | Zuin, M. | +25

4

What about chronotropic incompetence in heart failure with mildly reduced ejection fraction? Clinical and prognostic implications from the Metabolic Exercise combined with Cardiac and Kidney Indexes score dataset

enthalten in: European journal of preventive cardiology | 2024

von Magrì, D. | Gallo, G. | Piepoli, M. | +23

ErratumIn: Eur J Prev Cardiol. 2024 Jan 09;:. - PMID 38195099

5

Pharmacoutilization and adherence to sacubitril/valsartan in real world : the REAL.IT study in HFrEF

enthalten in: ESC heart failure | 2024

von Iacoviello, M. | Di Gesaro, G. | Sarullo, F. | +12

6

Heart failure patients with improved ejection fraction : Insights from the MECKI score database

enthalten in: European journal of heart failure | 2023

von Agostoni, P. | Pluchinotta, F. | Salvioni, E. | +49

7

LDL Cholesterol Variability Impacts the Prognosis of Patients with Chronic Ischemic Heart Disease : A Real-World Italian Experience

enthalten in: Journal of clinical medicine | 2023

von Faggiano, P. | Ruscica, M. | Bettari, S. | +5

8

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

enthalten in: BMC medical research methodology | 2023

von Baj, G. | Gandin, I. | Scagnetto, A. | +4

9

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

enthalten in: BMC medical research methodology | 2023

von Baj, G. | Gandin, I. | Scagnetto, A. | +4

10

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

enthalten in: BMC medical research methodology | 2023

von Baj, G. | Gandin, I. | Scagnetto, A. | +4

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