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Master Thesis

Enregistrement des paramètres ventilatoires par les dispositifs de VNI : un nouvel outil pour la détection précoce d'exacerbation chez des patients BPCO traités au long cours par VNI ?

Abstract : Physiological parameters recorded by built-in software of noninvasive ventilation (NIV) devices may exhibit a characteristic pattern leading up to exacerbations in COPD treated by home NIV. To assess whether daily variations in respiratory rate (RR), percentage of respiratory cycles triggered by the patient (%Trigg) and NIV daily use allow early detection of exacerbation. NIV parameters were collected and analyzed from COPD patients treated by long term NIV. Over a period of 6 months, patients completed the EXACT-Pro questionnaire daily. 25th and 75th percentiles of each 24-hour parameter recorded by the ventilator (RR, %Trigg, daily use) were calculated from the fourth day of follow-up and updated daily. For a given day, when the value of a parameter was > 75th or < 25th percentile the date was marked as "abnormal value" ("High-value">75th, "Low-Value"<25th). Stratified conditional logistic regressions were used to estimate the risk of imminent exacerbation when two or more days (for RR and %Trigg) or three or more days (for NIV use) out of five were marked "abnormal-value". 64 patients were included (mean age: 71years, FEV1=31.2 % of predicted value, BMI=27.2kg.m-2; CAT-score=18). 21 exacerbations were detected with EXACT-Pro and confirmed by an event committee. The risk of exacerbation was increased when RR (OR =5.6 [1.4; 22.4]) and %Trigg (OR =4.0 [1.1; 14.5]) were considered as "high-value" on two or more days out of five days. Respiratory parameters recorded by NIV built-in software may be an innovative tool for detecting exacerbations.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-01006835
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Submitted on : Monday, June 23, 2014 - 4:56:08 PM
Last modification on : Tuesday, May 11, 2021 - 11:36:17 AM
Long-term archiving on: : Tuesday, September 23, 2014 - 10:46:45 AM

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  • HAL Id : dumas-01006835, version 1

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Julie Pelletier. Enregistrement des paramètres ventilatoires par les dispositifs de VNI : un nouvel outil pour la détection précoce d'exacerbation chez des patients BPCO traités au long cours par VNI ?. Human health and pathology. 2014. ⟨dumas-01006835⟩

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