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Parameters recorded by software of non-invasive ventilators predict COPD exacerbation: a proof-of-concept study

Abstract : OBJECTIVE: To assess whether daily variations in three parameters recorded by non-invasive ventilation (NIV) software (respiratory rate (RR), percentage of respiratory cycles triggered by the patient (%Trigg) and NIV daily use) predict the risk of exacerbation in patients with chronic obstructive pulmonary disease (COPD) treated by home NIV. METHODS: Patients completed the EXACT-Pro questionnaire daily to detect exacerbations. The 25th and 75th percentiles of each 24 h NIV parameter were calculated and updated daily. For a given day, when the value of any parameter was >75th or <25th percentile, the day was marked as 'abnormal value' ('high value' >75th, 'low value' <25th). Stratified conditional logistic regressions estimated the risk of exacerbation when ≥2 days (for RR and %Trigg) or ≥3 days (for NIV use) out of five had an 'abnormal value'.
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https://hal.univ-grenoble-alpes.fr/hal-01969365
Contributeur : Sarah Hamant <>
Soumis le : vendredi 4 janvier 2019 - 09:20:53
Dernière modification le : jeudi 27 août 2020 - 11:36:04

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J.-C. Borel, J. Pelletier, N. Taleux, A. Briault, N. Arnol, et al.. Parameters recorded by software of non-invasive ventilators predict COPD exacerbation: a proof-of-concept study. Thorax, BMJ Publishing Group, 2015, 70 (3), pp.284-285. ⟨10.1136/thoraxjnl-2014-206569⟩. ⟨hal-01969365⟩

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