Efficacy of Self-titration of Ventilation in Overlap Syndrome (chronic Obstructive Pulmonar Disease + Sleep Apnea Syndrome ) with Dynamic Hyperinflation. EDIN-IDIN.

The combination of COPD and obstructive sleep apnea (OSA) can lead to undesirable interactions with the treatment approach. The investigators know that continuous positive airway pressure (CPAP) can increase dynamic hyperinflation in COPD patients, and in mechanical ventilation, the increase in PEEP can worsen dynamic hyperinflation. On the other hand, the team know that the severity of COPD obstruction and hyperinflation alter sleep efficiency, with periods of wakefulness during sleep, and during these periods, the patient would not have upper airway obstruction, which could affect the therapy they are receiving in CPAP mode for OSA. Moreover, it was observed that with greater hyperinflation, the rate of obstructive events decreases, dynamically affecting the ventilatory situation with upper airway resistance. Recent studies have determined the safety and efficacy of auto-adjusting systems in the treatment of overlap syndrome, which could be more adaptable to the changing pulmonary mechanics of these patients. Aerobic capacity is a good predictor to the health status in these patients and the investigators know it is reduced in patients with AOS, where CPAP treatment according to studies improves the peak VO2. Therefore, the objective is to compare a ventilation system with fixed pressures established through polysomnography in patients with overlap syndrome and dynamic hyperinflation to a dynamic ventilation system using the fixed pressure limits typically established, based on their impact on the aerobic capacity (peak VO2) of these patients after 1 month of treatment.

NCT Number	NCT06713486
Lead Sponsor	Fundacion para la Formacion e Investigacion Sanitarias de la Region de Murcia
Conditions	Pulmonary Disease, Chronic Obstructive
Enrollment	20 participants
Start Date	2024-12-01
Primary Completion	2026-06-01 (estimated)
Study Completion	2026-09-01 (estimated)
Updated on ClinicalTrials.gov	2024-12-03