Prediction model development of women's daily asthma control using fitness tracker sleep disruption.
Asthma
Lung function
Respiratory
Signs and symptoms
Sleep disruption
Women
Journal
Heart & lung : the journal of critical care
ISSN: 1527-3288
Titre abrégé: Heart Lung
Pays: United States
ID NLM: 0330057
Informations de publication
Date de publication:
Historique:
received:
09
04
2019
revised:
12
01
2020
accepted:
22
01
2020
pubmed:
25
2
2020
medline:
5
3
2021
entrez:
25
2
2020
Statut:
ppublish
Résumé
Night-time wakening with asthma symptoms is an important indicator of disease control and severity, with no gold-standard objective measurement. The study objective was to use fitness tracker sleep data to develop predictive models of daily disease control-related asthma-specific wakening and FEV A repeated measures panel design included data from 43 women with poorly controlled asthma. Two components of asthma control were the primary outcomes, measured daily as (1) self-reported asthma-specific wakening and (2) self-administered spirometry to measure FEV Our models demonstrated predictive value (AUC=0.77) for asthma-specific night-time wakening and good predictive value (AUC=0.83) for daily FEV
Sections du résumé
BACKGROUND
Night-time wakening with asthma symptoms is an important indicator of disease control and severity, with no gold-standard objective measurement.
OBJECTIVE
The study objective was to use fitness tracker sleep data to develop predictive models of daily disease control-related asthma-specific wakening and FEV
METHODS
A repeated measures panel design included data from 43 women with poorly controlled asthma. Two components of asthma control were the primary outcomes, measured daily as (1) self-reported asthma-specific wakening and (2) self-administered spirometry to measure FEV
RESULTS
Our models demonstrated predictive value (AUC=0.77) for asthma-specific night-time wakening and good predictive value (AUC=0.83) for daily FEV
Identifiants
pubmed: 32089295
pii: S0147-9563(20)30017-0
doi: 10.1016/j.hrtlng.2020.01.013
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
548-555Subventions
Organisme : NCATS NIH HHS
ID : UL1 TR001412
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest Dr. Castner was committed to receive salary and funding support from the University at Buffalo for this research. Dr. Castner is owner of Castner Incorporated. The remaining authors declare no conflict of interest.