F
Federico Lavorini
Researcher at University of Florence
Publications - 162
Citations - 5182
Federico Lavorini is an academic researcher from University of Florence. The author has contributed to research in topics: Inhaler & Medicine. The author has an hindex of 33, co-authored 137 publications receiving 3953 citations. Previous affiliations of Federico Lavorini include UniFi.
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Journal ArticleDOI
Identification of a predominant COPD phenotype in clinical practice
Massimo Pistolesi,Gianna Camiciottoli,Matteo Paoletti,Cecilia Marmai,Federico Lavorini,Eleonora Meoni,Carlo Marchesi,Carlo Giuntini +7 more
TL;DR: Patients with COPD can be assigned a clinical phenotype reflecting the prevalent mechanism of airflow limitation, and the standardized identification of the predominant phenotype may permit to clinically characterize COPD beyond its unifying spirometric definition.
Journal ArticleDOI
Inhaler technique and patient's preference for dry powder inhaler devices
TL;DR: In patients with obstructive airway diseases, inhaler choice is as critical as the choice of medication itself, and acceptance of the device can improve patients' compliance.
Journal ArticleDOI
Recent advances in capsule-based dry powder inhaler technology
TL;DR: Recent advances in capsule-based DPI technology and the introduction of the ‘disposable’ DPI device are reviewed, where no individual device shows superior clinical efficacy.
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Inhaler technique: facts and fantasies. A view from the Aerosol Drug Management Improvement Team (ADMIT)
Mark L Levy,P R N Dekhuijzen,P. J. Barnes,Mariëlle E.A.C. Broeders,Christopher Corrigan,Bo L. Chawes,Lorenzo Corbetta,Jean Christophe Dubus,Th Hausen,Federico Lavorini,Nicolas Roche,Joaquín Sanchis,Omar S. Usmani,José Luis Viejo,Walter Vincken,Th Voshaar,Graham K. Crompton,Søren Pedersen +17 more
TL;DR: This work reviews the evidence, or lack thereof, underlying ten items of inhaler ‘lore’ commonly passed on by health professionals to each other and thence to patients and aims to stimulate debate, and to encourage researchers to challenge some of these ideas.
Journal ArticleDOI
Clinical risk score to predict in-hospital mortality in COVID-19 patients: a retrospective cohort study
Carlo Fumagalli,Renzo Rozzini,Matteo Vannini,Flaminia Coccia,Giulia Cesaroni,Francesca Mazzeo,Maria Cola,Alessandro Bartoloni,Paolo Fontanari,Federico Lavorini,Rossella Marcucci,Alessandro Morettini,Carlo Nozzoli,Adriano Peris,Filippo Pieralli,Riccardo Pini,Loredana Poggesi,Andrea Ungar,Stefano Fumagalli,Niccolò Marchionni +19 more
TL;DR: The COVID-19MRS is a rapid, operator-independent and inexpensive clinical tool that objectively predicts mortality in patients with CO VID-19, which proved to be highly accurate in stratifying patients at low, intermediate and high risk of in-hospital death.