Effectiveness Monitoring of Home Non-invasive Mechanical Ventilation by Digital Diagnosis Platform
Effectiveness Monitoring of Home Non-invasive Mechanical Ventilation by Digital Diagnosis Platform
The main objective will be to determine the effectiveness of home non-invasive ventilation by
 flow-time and time-pressure curves analysis in a cohort of patients with this treatment by
 digital diagnosis platform.
A multicenter study with observational prospective design will be implemented on 3 spanish
 hospitals in Barcelona. Inclusion criteria will be equivalent sample size of patients with
 restrictive lung disease, neuromuscular pathology and hypoventilation-obesity.

 Digital diagnosis platform will be used to incorporate and unify signals of different medical
 devices: a pneumotachograph on branch ventilator that captures pressure and flow-time
 signals, inductance plethysmography used to like a patient effort sensor and portable pulse
 oximeter recordings. Nocturnal polygraphic or polysomnographic tracings performed and
 recorded on sites will be processed systematically by main asynchronies diagnosis algorithms
 between patient and ventilator. These algorithms providing global and fractionated
 asynchronies count based on time, leaks or saturation criteria which will be used to compared
 effective ventilation phases and phases with nocturnal desaturations. Therefore, prevalence
 and asynchronies model on home NIV can be determine establishing the correlation between
 desaturation phases and respiratory events and identifying minimum tolerable leak level to
 keep adequate ventilation.
Inclusion Criteria:

 -  Home non-invasive mechanical ventilation and clinical stability at least of 6 months (
 no acute episode with admission on 2 months before)

 -  Mean Ventilator compliance > 4 h/ per night on screening visit

 -  Signed informed consent form previously

 Exclusion Criteria:

 -  Ventilation with oxygen join system.