PT  - JOURNAL ARTICLE
AU  - Borel, Jean-Christian
AU  - Pelletier, Julie
AU  - Taleux, Nellie
AU  - Briault, Amandine
AU  - Arnol, Nathalie
AU  - Pison, Christophe
AU  - Tamisier, Renaud
AU  - Timsit, Jean-François
AU  - Pepin, Jean-Louis
TI  - Parameters recorded by software of non-invasive ventilators predict COPD exacerbation: a proof-of-concept study
AID  - 10.1136/thoraxjnl-2014-206569
DP  - 2015 Mar 01
TA  - Thorax
PG  - 284--285
VI  - 70
IP  - 3
4099  - http://thorax.bmj.com/content/70/3/284.short
4100  - http://thorax.bmj.com/content/70/3/284.full
SO  - Thorax2015 Mar 01; 70
AB  - 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’. Results Sixty-four patients were included. Twenty-one exacerbations were detected and medically confirmed. The risk of exacerbation was increased when RR (OR 5.6, 95% CI 1.4 to 22.4) and %Trigg (OR 4.0, 95% CI 1.1 to 14.5) were considered as ‘high value’ on ≥2 days out of five. Conclusions This proof-of-concept study shows that daily variations in RR and %Trigg are predictors of an exacerbation.