Jane C. Davies

Country flagUnited Kingdom

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (11)

Background Handheld spirometry allows monitoring of lung function at home, of particular importance during the COVID‐19 pandemic. Pediatric studies are unclear on whether values are interchangeable with traditional, clinic‐based spirometry. We aimed to assess differences between contemporaneous, home (unsupervised) and clinic (supervised) spirometry and the variability of the former. The accuracy of the commercially available spirometer used in the study was also tested. Methods Data from participants in the Clinical Monitoring and Biomarkers to stratify severity and predict outcomes in children with cystic fibrosisc (CLIMB‐CF) Study aged ≥ 6 years who had paired (±1 day) clinic and home forced expiratory volume in 1 s (FEV 1 ) readings were analyzed. Variability during clinical stability over 6‐months was assessed. Four devices from Vitalograph were tested using 1 and 3 L calibration syringes. Results Sixty‐seven participants (median [interquartile range] age 10.7 [7.6−13.9] years) provided home and clinic FEV 1 data pairs. The mean (SD) FEV 1 % bias was 6.5% [±8.2%]) with wide limits of agreement (−9.6% to +22.7%); 76.2% of participants recorded lower results at home. Coefficient of variation of home FEV 1 % during stable periods was 9.9%. Data from the testing of the handheld device used in CLIMB‐CF showed a potential underread. Conclusion In children and adolescents, home spirometry using hand‐held equipment cannot be used interchangeably with clinic spirometry. Home spirometry is moderately variable during clinical stability. New handheld devices underread, particularly at lower volumes of potential clinical significance for smaller patients; this suggests that supervision does not account fully for the discrepancy. Opportunities should be taken to obtain dual device measurements in clinic, so that trend data from home can be utilized more accurately.

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (3)

Tim Rosenow

University of Western Australia

AUSTRALIA
View details

Marco Boeri

The Queen's University Belfast

UNITED KINGDOM
View details

Felix Ratjen

-

CANADA
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.