Monitoring Noninvasive Ventilation in Patients with Obesity Hypoventilation Syndrome: Comparison between Ventilator Built-in Software and Respiratory Polygraphy - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Respiration Année : 2017

Monitoring Noninvasive Ventilation in Patients with Obesity Hypoventilation Syndrome: Comparison between Ventilator Built-in Software and Respiratory Polygraphy

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Résumé

BACKGROUND: Polygraphy (PG) remains the standard method of assessing noninvasive ventilation (NIV) effectiveness. Built-in software (BIS) of recent NIV equipment provides estimates of some ventilator parameters, but their usefulness is unclear. OBJECTIVES: To assess the reliability of BIS compared with PG in a cohort of obesity hypoventilation syndrome (OHS) patients on NIV. METHODS: Thirty stable OHS patients on NIV were evaluated in an outpatient setting with simultaneous PG and BIS recordings. The automated apnea-hypopnea event index (EIAUT) provided by Rescan and manual scoring based on available traces obtained from the software (EIBIS) were compared with manual PG scoring (EIPG). Each manual scoring was separately performed by 2 trained operators. Agreement between the 2 operators was assessed using the kappa coefficient. Pearson correlation and Bland-Altman plots were used to evaluate agreement between EIAUT, EIBIS, and EIPG. RESULTS: Twenty-six cases were valid for analysis (age ±61 years, 17 men). All patients were ventilated in the spontaneous/timed mode (mean inspiratory positive airway pressure 17 ± 3 cm H2O, mean expiratory positive airway pressure 10 ± 3 cm H2O). Cohen's kappa agreement between the operators was 0.7 for EIBIS and 0.84 for EIPG. EIBIS showed good correlation with EIPG (r2 = 0.79 p < 0.001), better than scoring provided by the automated analysis (r2 = 0.71, p < 0.006 for EIAUT vs. EIPG). CONCLUSIONS: In stable OHS patients on NIV, unattended home-based monitoring using Rescan is reproducible and reliable to assess quality of ventilation when compared with PG. In addition, manual scoring of events using data obtained with this device is more consistent than software-based automated analysis.

Dates et versions

hal-01559250 , version 1 (10-07-2017)

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Citer

Ramon Fernandez Alvarez, Claudio Rabec, Gemma Rubinos Cuadrado, Juan Alejandro Cascon Hernandez, Patricia Rodriguez, et al.. Monitoring Noninvasive Ventilation in Patients with Obesity Hypoventilation Syndrome: Comparison between Ventilator Built-in Software and Respiratory Polygraphy. Respiration, 2017, 93 (3), pp.162-169. ⟨10.1159/000454954⟩. ⟨hal-01559250⟩
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