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Comparison of Modified With Conventional Adaptive Servoventilation Processes

Comparison of a Modified Adaptive Servoventilation With Conventional Adaptive Servoventilation Processes in Terms of Efficacy Against Complex Nocturnal Breathing Disorders

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01037439
Enrollment
20
Registered
2009-12-23
Start date
2008-06-30
Completion date
2009-12-31
Last updated
2021-02-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cheyne-Stokes Respiration, Periodic Breathing

Brief summary

The objective of this study is to compare the modified adaptive servoventilation control algorithm of the with the standardised algorithms of routinely-used servoventilation processes (AutoSet CS2) in terms of the effect on obstructive and central events. The aim is to normalise breathing during sleep and hence eliminate the sleep-related breathing disorder, resulting in even more effective treatment of nocturnal breathing disorders in patients with cardiovascular diseases and sleep apnoea, to ensure optimum therapy success.

Detailed description

Patients with cardiovascular disorders frequently suffer from sleep-related respiratory disorders (SRRD), such as obstructive sleep apnea (OSA) or a specific form of central sleep apnea, Cheyne-Stokes breathing (CSB, periodic breathing). However there is also a significant incidence of complex nocturnal breathing disorders, with both obstructive and central components. Sleep-related breathing disorders of this kind cause decreases in arterial oxygen saturation through brief hypopneas and apneas. Disturbed breathing also causes the patient to wake frequently during the night (arousals), usually during the hyperventilatory phase of CSB. Repeated arousals cause fragmentation of sleep, and therefore a deep sleep deficit. This leads to increased sleepiness during the day and impaired cognitive performance. Previous studies have shown that Cheyne-Stokes breathing can be treated effectively with adaptive servoventilation. An enhancement to the routinely used algorithm (AutoSet CS2) has been created which allows the algorithm to differentiate between obstructive events and Cheyne-Stokes breathing, and better respond to apneas and hypopneas to eliminate the sleep-related breathing disorder and normalise breathing during sleep.

Interventions

DEVICEAdaptive Servo-controlled Ventilation (ASV)

Pressure support ventilation adapts to meet a target ventilation level that is constantly being assessed

Sponsors

ResMed
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
TREATMENT
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

* 18+ years of age * consent in writing * complex nocturnal breathing disorder with Cheyne-Stokes breathing and obstructive sleep apnoea * AHI \> 15/h

Exclusion criteria

* acute cardiac decompensation * acute myocardial infarct within the last 3 months * post-resuscitation condition within the last 3 months * post-stroke condition with difficulty in swallowing or persisting hemiparesis * abuse of medication, alcohol or drugs * pregnancy * known to be suffering from a tumour

Design outcomes

Primary

MeasureTime frameDescription
Apnea/hypopnea index (AHI)1 night sleepnumber of breathing pauses that occur each hour of sleep

Secondary

MeasureTime frameDescription
Average SaO21 night sleepaverage percentage of oxygen saturation in the blood
CPAP pressure1 night sleepContinuous Positive Airway Pressure requirement for elimination of nocturnal breathing disorders
Pressure stability in presence of mask leaks1 night sleepHow much the CPAP pressure varies when mask leak occurs
Minimum SaO21 night sleepThe minimum percentage of oxygen saturation recorded in the blood

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026