Results 81 to 90 of about 13,729 (150)

259: Implementation of a standardized home spirometry program

Journal of Cystic Fibrosis, 2021
P. Allerton, R. Heritage, K. McBennett, E. Roesch   +3 more
openaire   +1 more source

Remotely supervised spirometry versus laboratory-based spirometry during the COVID-19 pandemic: a retrospective analysis

Respiratory Research
Background The COVID-19 pandemic has constrained access to spirometry, and the inherent risk of infectious transmission during aerosol-generating procedures has necessitated the rapid development of Remotely Supervised Spirometry (RSS).
Łukasz Kołtowski, Mikołaj Basza, Wojciech Bojanowicz, Piotr Dąbrowiecki, Mateusz Soliński, Katarzyna Górska, Piotr Korczyński, Lauren E. Eggert   +7 more
doaj   +1 more source

A comparison of clinic and home spirometry as longtudinal outcomes in cystic fibrosis. [PDF]

J Cyst Fibros, 2022
Paynter A, Khan U, Heltshe SL, Goss CH, Lechtzin N, Hamblett NM.   +5 more
europepmc   +1 more source

Health care costs related to home spirometry in the eICE randomized trial. [PDF]

J Cyst Fibros, 2022
Franz N, Rapp H, Hansen RN, Gold LS, Goss CH, Lechtzin N, Kessler LG.   +6 more
europepmc   +1 more source

The Role of Incentive Spirometry in Primary Spontaneous Pneumothorax

Acta Medica Indonesiana, 2016
Pneumothorax is the presence of air in the pleural space. Its management consists of noninvasive and invasive therapies and it is determined based on clinical manifestations, type and size of pneumothorax. We present a case of a patient with diagnosis of
Rabbinu R Pribadi, Gurmeet Singh, Cleopas M Rumende   +2 more
doaj   +2 more sources

Quality of Unsupervised Home Spirometry in Children with Asthma [PDF]

B9. B009 PATIENT, FAMILY, AND PROVIDER EXPERIENCES IN CRITICAL CARE AND CHRONIC PATIENT MANAGEMENT, 2021
N. Agerskov, S. Coughlin, H. Parrott, S. Saglani, S. Sonnappa, L. Fleming   +5 more
openaire   +1 more source

Quality Assurance for Home Spirometry using Machine Learning

Spirometry is used for evaluating lung function, playing a crucial role in assessing lung health and monitoring treatment effectiveness. Numerous studies demonstrate the potential of Machine Learning algorithms to match human experts in spirometry classification, although most approaches depend on custom data pre-processing and complex model ...
Gardiner, Darcey, Rogers, Harry, Lines, Jason, Wilson, Andrew, Aung, Min Hane   +4 more
openaire   +1 more source

Are we ready for home spirometry for systemic sclerosis-associated ILD? [PDF]

Lancet Rheumatol
Channick J, Volkmann ER.
europepmc   +1 more source

Criteria for identifying acute respiratory events based on FEV1 decline in home spirometry for lung transplant patients. [PDF]

BMC Pulm Med
Shinohara Y, Yamaguchi M, Wannous M, Luo Y, Yamamoto K, Sato M.   +5 more
europepmc   +1 more source