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J Cyst Fibros ; 21(1): 78-83, 2022 01.
Article in English | MEDLINE | ID: covidwho-1377747

ABSTRACT

BACKGROUND: The COVID-19 pandemic has accelerated the transition to telehealth, including the use of home spirometry in cystic fibrosis. Evaluating the accuracy and precision of longitudinal home spirometry is a requisite for telehealth-based research. This secondary analysis of a CF study (eICE) evaluates whether there are cross-sectional or longitudinal differences between home and clinic spirometry. METHODS: Participants age ≥14 years with ppFEV1>25 were recruited from 2011-2015, issued a home spirometer, and asked to complete spirometry efforts twice per week for one year. Clinic spirometry was collected at baseline and every three months. Cross-sectional differences between clinic spirometry and the closest home spirometry measurement were analyzed. Longitudinally, we apply 5 methods to analyze the precision of home spirometry, and differences between clinic vs. home data. RESULTS: Home spirometry is estimated to be 2.0 (95% CI: 0.3, 3.5) percentage points lower than clinic spirometry cross-sectionally. Longitudinally, the estimates of 12-month change in home spirometry varied by analysis method from -2.6 to -1.0 ppFEV1/ year, with precision markedly different. However, home spirometry change estimates were qualitatively similar to the clinic results: -3.0 ppFEV1/year (95% CI: -4.1, -1.9). CONCLUSIONS: To leverage the potential cost, feasibility and convenience of home spirometry, the differences with clinic spirometry must be acknowledged. Significantly lower ppFEV1 in home devices shows that direct comparison to clinic spirometers may induce a spurious change from baseline, and additional variability in home devices impacts statistical power. The effect of coaching, setting, and equipment must be understood to use and improve home spirometry in CF.


Subject(s)
Cystic Fibrosis/physiopathology , Spirometry/methods , Telemedicine/methods , Adolescent , Adult , COVID-19/epidemiology , Cross-Sectional Studies , Female , Humans , Longitudinal Studies , Male , Pandemics , Patient Compliance , SARS-CoV-2 , Young Adult
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