Results 51 to 60 of about 132,013 (384)

Effect on smoking quit rate of telling patients their lung age: the Step2quit randomised controlled trial [PDF]

, 2008
Objective To evaluate the impact of telling patients their estimated spirometric lung age as an incentive to quit smoking.Design Randomised controlled trial.Setting Five general practices in Hertfordshire, England.Participants 561 current smokers aged ...
Dent, R, Greenhalgh, T, Griffin, M, Parkes, G   +3 more
core   +2 more sources

Trajectory and mortality of preserved ratio impaired spirometry: the Rotterdam Study

European Respiratory Journal, 2019
Preserved ratio impaired spirometry (PRISm) is a heterogeneous condition but its course and disease progression remain to be elucidated. We aimed to examine its prevalence, trajectories and prognosis in the general population.
S. Wijnant, Emmely W. de Roos, M. Kavousi, B. Stricker, N. Terzikhan, L. Lahousse, G. Brusselle   +6 more
semanticscholar   +1 more source

Primary care spirometry* [PDF]

European Respiratory Journal, 2007
Primary care spirometry is a uniquely valuable tool in the evaluation of patients with respiratory symptoms, allowing the general practitioner to diagnose or exclude chronic obstructive pulmonary disease (COPD), sometimes to confirm asthma, to determine the efficacy of asthma treatment and to correctly stage patients with COPD.
Derom, E., Liistro, G., Buffels, J., Schermer, Tjard R.J., Lammers, E., Wouters, Emiel, Decramer, M., van Weel, Chris   +7 more
openaire   +4 more sources

Effect of RNS60 in amyotrophic lateral sclerosis: a phase II multicentre, randomized, double‐blind, placebo‐controlled trial

European Journal of Neurology, Volume 30, Issue 1, Page 69-86, January 2023., 2023
Abstract Background and purpose Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with limited treatment options. RNS60 is an immunomodulatory and neuroprotective investigational product that has shown efficacy in animal models of ALS and other neurodegenerative diseases. Its administration has been safe and well tolerated in ALS
Ettore Beghi, Elisabetta Pupillo, Elisa Bianchi, Valentina Bonetto, Silvia Luotti, Laura Pasetto, Caterina Bendotti, Massimo Tortarolo, Francesca Sironi, Laura Camporeale, Alexander V. Sherman, Sabrina Paganoni, Ada Scognamiglio, Fabiola De Marchi, Paolo Bongioanni, Renata Del Carratore, Claudia Caponnetto, Luca Diamanti, Daniele Martinelli, Andrea Calvo, Massimiliano Filosto, Alessandro Padovani, Stefano Cotti Piccinelli, Claudia Ricci, Stefania Dalla Giacoma, Nicoletta De Angelis, Maurizio Inghilleri, Rossella Spataro, Vincenzo La Bella, Giancarlo Logroscino, Christian Lunetta, Claudia Tarlarini, Jessica Mandrioli, Ilaria Martinelli, Cecilia Simonini, Elisabetta Zucchi, Maria Rosaria Monsurrò, Dario Ricciardi, Francesca Trojsi, Nilo Riva, Massimo Filippi, Isabella Laura Simone, Gianni Sorarù, Cristina Spera, Lucia Florio, Sonia Messina, Massimo Russo, Gabriele Siciliano, Amelia Conte, Maria Valeria Saddi, Nicola Carboni, Letizia Mazzini, the RNS60‐ALS Study Group, Gabriele Enia, Andrea Zucchella, Lorenzo Pinzani, Lorena De Giorgi, Celeste Nicoletti, Elisa Semprucci, Emilio Davide Arippol, Giorgia Giussani, Monica Graziani, Cinzia Ferrari, Roberto Cantello, Enrica Bersano, Cristina Dolciotti, Silvia Maria Masciandaro, Ilaria Da Prato, Corrado Cabona, Giuseppe Meo, Mauro Ceroni, Beatrice Dal Fabbro, Adriano Chiò, Cristina Moglia, Umberto Manera, Giuseppe Fuda, Federico Casale, Giovanni De Marco, Paolina Salamone, Fabio Giannini, Silvia Bocci, Marco Ceccanti, Chiara Cambieri, Laura Libonati, Federica Moret, Vittorio Frasca, Tiziana Coletti, Rosanna Tortelli, Rosa Capozzo, Francesca Gerardi, Valeria Sansone, Nicola Fini, Giulia Gianferrari, Annalisa Gessani, Yuri Falzone, Paride Schito, Laura Pozzi, Teuta Domi, Eustachio D’Errico, Antonella Morea, Gianmarco Milella, Matteo Gizzi, Francesca Paci, Simonetta Ferracchiato, Michele Zarrelli, Nino Desina, Alessandra Govoni, Erika Schirinzi, Costanza Simoncini, Mario Sabatelli, Daniela Bernardo, Giulia Bisogni, Giovanna Piras, Maria Monne, Elisabetta Manca   +114 more
wiley   +1 more source

Confirmatory spirometry for adults hospitalized with a diagnosis of asthma or chronic obstructive pulmonary disease exacerbation

BMC Pulmonary Medicine, 2012
Background Objective measurement of airflow obstruction by spirometry is an essential part of the diagnosis of asthma or COPD. During exacerbations, the feasibility and utility of spirometry to confirm the diagnosis of asthma or chronic obstructive ...
Prieto Centurion Valentin, Huang Frank, Naureckas Edward T, Camargo Jr Carlos A, Charbeneau Jeffrey, Joo Min J, Press Valerie G, Krishnan Jerry A   +7 more
doaj   +1 more source

Analysis of vocal breath sounds before and after administering Bronchodilator in Asthmatic patients [PDF]

arXiv, 2023
Asthma is one of the chronic inflammatory diseases of the airways, which causes chest tightness, wheezing, breathlessness, and cough. Spirometry is an effort-dependent test used to monitor and diagnose lung conditions like Asthma. Vocal breath sound (VBS) based analysis can be an alternative to spirometry as VBS characteristics change depending on the ...
arxiv  

Incentive Spirometry: 2011 [PDF]

Respiratory Care, 2011
We searched the MEDLINE, CINAHL, and Cochrane Library databases for articles published between January 1995 and April 2011. The update of this clinical practice guideline is the result of reviewing a total of 54 clinical trials and systematic reviews on incentive spirometry.
Richard Wettstein, Michael Tracy, Ruben D Restrepo, Leo Wittnebel   +3 more
openaire   +3 more sources

Validation of chronic obstructive pulmonary disease recording in the Clinical Practice Research Datalink (CPRD-GOLD) [PDF]

, 2014
Objectives: The optimal method of identifying people with chronic obstructive pulmonary disease (COPD) from electronic primary care records is not known. We assessed the accuracy of different approaches using the Clinical Practice Research Datalink, a UK
Davis, K, DiSantostefano, RL, Eaton, S, Forbes, H, Hurst, JR, Müllerova, H, Quint, JK, Smeeth, L   +7 more
core   +2 more sources

Spirometry-based airways disease simulation and recognition using Machine Learning approaches [PDF]

LION15 - Learning and Intelligent Optimization Conference, Jun 2021, Athens, Greece, 2021
The purpose of this study is to provide means to physicians for automated and fast recognition of airways diseases. In this work, we mainly focus on measures that can be easily recorded using a spirometer. The signals used in this framework are simulated using the linear bi-compartment model of the lungs.
arxiv  

Clinical Decision Support System to Enhance Quality Control of Spirometry Using Information and Communication Technologies

JMIR Medical Informatics, 2014
BackgroundWe recently demonstrated that quality of spirometry in primary care could markedly improve with remote offline support from specialized professionals.
Burgos, Felip, Melia, Umberto, Vallverdú, Montserrat, Velickovski, Filip, Lluch-Ariet, Magí, Caminal, Pere, Roca, Josep   +6 more
doaj   +1 more source