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Combination Therapy to Treat Sleep Apnea

Combination Therapy for the Treatment of Obstructive Sleep Apnea

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01633827
Enrollment
22
Registered
2012-07-04
Start date
2012-08-31
Completion date
2014-12-31
Last updated
2017-03-03

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

Conditions

Sleep Apnea, Obstructive

Brief summary

In Obstructive sleep apnea (OSA), the upper airway closes over and over again during sleep. This leads to disrupted sleep (waking up during the night), daytime sleepiness, and an increased risk for developing high blood pressure. Currently, the best treatment for obstructive sleep apnea is sleeping with a mask that continuously blows air into the nose (i.e. Continuous positive airway pressure \[CPAP\] treatment). While CPAP treatment stops the upper airway from closing in most people, many people have difficulty sleeping with the mask in place and therefore do not use the CPAP treatment. This research study is being conducted to learn whether using a combination of therapies (i.e. a sedative and oxygen therapy) will improve OSA severity by altering some of the traits that are responsible for the disorder.

Detailed description

Obstructive sleep apnea (OSA) is characterized by repetitive collapse or 'obstruction' of the pharyngeal airway during sleep. These obstructions result in repetitive hypopneas/apneas and intermittent hypoxia/hypercapnia, as well as surges in sympathetic activity. Such processes disturb normal sleep and impair neurocognitive function, often resulting in excessive daytime sleepiness and decreased quality of life. Furthermore, OSA is associated with cardiovascular morbidity and mortality, making OSA a major health concern. Current evidence suggests that OSA pathogenesis involves the interactions of at least four physiological traits comprising 1) the pharyngeal anatomy and its propensity towards collapse 2) the ability of the upper airway dilator muscles to activate and reopen the airway during sleep (i.e. neuromuscular compensation), 3) the arousal threshold from sleep (i.e. the propensity for hypopneas/apneas to lead to arousal and fragmented sleep) and 4) the stability of the ventilatory feedback loop (i.e. loop gain). Continuous positive airway pressure (CPAP) is the most common treatment for OSA but it is often poorly tolerated; only \ 50% of patients diagnosed with OSA continue therapy beyond 3 months. Given this limitation, alternative approaches have been tested and have generally focused on the use of oral appliances, surgery, and more recently pharmacological agents. However, these alternate therapies, when used alone as monotherapy, rarely abolish OSA completely. This is not that surprising given that these treatments focus primarily on correcting only one trait and ignore the fact that the pathogenesis of OSA is multi-factorial. Thus the investigators hypothesize that some patients could be treated without CPAP if more than one trait is targeted (i.e., the investigators take a multi-factorial treatment approach). Such a multi-factorial approach is not unusual in Medicine. Many disorders such as diabetes, asthma, hypertension, cancer and congestive heart failure are treated with more than one medication or modality. In our view, giving CPAP to all OSA patients is like treating every diabetic with insulin, or every asthmatic with oral steroids - these treatments, like CPAP, are poorly tolerated and ignore the complexity of the underlying biology. The investigators recently published a technique that measures the four traits using repeated 'drops' in CPAP levels during sleep. Each trait is measured in a way that allows model-based predictions of the presence/absence of OSA. With this technique the investigators demonstrated in a small group of CPAP-treated OSA subjects that decreasing the sensitivity of the ventilatory feedback loop (i.e. reducing loop gain) by approximately 50% with either acetazolamide or oxygen reduces the apnea/hypopnea index (AHI) by half. Interestingly, our model allowed us to make the prediction that if, in addition to an agent that reduces loop gain, the investigators also gave a drug that increases the arousal threshold by at least 25%, then the investigators could potentially abolish OSA (rather than just reduce its severity by 50%). This is of great interest given that the investigators already have shown than eszopiclone increases the arousal threshold by approximately 30% and is associated with an improvement in the AHI. However, to date there has been no study examining the combination of an agent that reduces loop gain (i.e. oxygen) with one that increases the arousal threshold (i.e. eszopiclone) as a treatment for OSA. To determine the effect of combination therapy on each of the four traits and how they contribute to our model prediction of OSA, as well as on apnea severity. Specifically the investigators will assess: 1. The physiological traits responsible for OSA: 1. Pharyngeal anatomy and its propensity towards collapse 2. The ability of the upper airway dilator muscles to activate and reopen the airway during sleep (i.e. neuromuscular compensation) 3. Arousal threshold from sleep (i.e. the propensity for hypopneas/apneas to lead to arousal and fragmented sleep). 4. Stability of the ventilatory control system feedback loop (i.e. loop gain) 2. The severity of OSA (apnea-hypopnea index (AHI), percent of time with unstable breathing, sleep quality) STUDY DESIGN: A single-blinded randomized control design will be used. Initially, participants will be randomized to either the treatment or placebo arm where they will have both a clinical and research polysomnography (PSG); these initial PSGs constitute what will be referred to as VISIT 1 (see outcome measures). The purpose of the clinical PSG is to determine the severity of OSA (i.e. AHI). The research PSG will measure the 4 physiological OSA traits. During the treatment arm, in both PSGs (i.e. clinical and research) participants will be given eszopiclone (3mg by mouth) to take before bed and be placed on oxygen throughout the night. During the placebo arm, subjects will be given a placebo to take before bed and placed on room air while they sleep. Participants will then have at least a 1-week washout period and cross over to the other arm of the study whereby the clinical and research PSG will be repeated; these studies constitute what will be referred to asVISIT 2 (see outcome measures).

Interventions

DRUGPlacebo pill

Subjects will receive a sugar pill (in combination with room air) during their placebo arm studies

Subjects will receive eszopiclone (in combination with medical oxygen) during their treatment arm studies

Subjects will receive room air (in combination with a sugar pill) during their placebo arm studies

OTHEROxygen

Subjects will receive medical grade oxygen (in combination with eszopiclone) during their treatment arm studies

Sponsors

National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
Brigham and Women's Hospital
Lead SponsorOTHER

Study design

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

Eligibility

Sex/Gender
ALL
Age
18 Years to 79 Years
Healthy volunteers
No

Inclusion criteria

* Ages 18 - 79 years * Documented OSA (AHI \> 10 events/hr Non rapid eye movement sleep supine) * If treated then, current CPAP use (\>4 hrs CPAP/night for \> 2 months)

Exclusion criteria

* Any uncontrolled medical condition * Any other sleep disorder (Periodic leg movement syndrome, restless legs syndrome, insomnia, etc.) * Use of medications known to affect sleep/arousal, breathing, or muscle physiology * Allergy to lidocaine or Afrin * Claustrophobia * Alcohol consumption within 24 hours of PSG

Design outcomes

Primary

MeasureTime frameDescription
Model Prediction of Absence/Presence of OSA: Ventilation That Causes an Arousal From Sleep (Varousal)Subjects will be assessed on day 1 (visit 1) and up to 1 month (visit 2)Our published method estimates 4 important physiological traits causing OSA: 1) pharyngeal anatomy, 2) loop gain, 3) the ability of the upper airway to dilate/stiffen in response to increases in ventilatory drive, and 4) arousal threshold. Each individual's set of traits is then entered into a physiological model of OSA that graphically illustrates the relative importance of each trait in that individual. In this table the investigators report the minimum ventilation that can be tolerated before an arousal from sleep (Varousal). It is calculated by slowly reducing the CPAP level from optimum to the minimum tolerable pressure. This trait is symbolized as Varousal (L/min)
Model Prediction of Absence/Presence of OSA: Ventilatory Control Sensitivity (Loop Gain)Subjects will be assessed on day 1 (visit 1) and up to 1 month (visit 2)Our published method estimates 4 important physiological traits causing OSA: 1) pharyngeal anatomy, 2) loop gain, 3) the ability of the upper airway to dilate/stiffen in response to increases in ventilatory drive, and 4) arousal threshold. Each individual's set of traits is then entered into a physiological model of OSA that graphically illustrates the relative importance of each trait in that individual and predicts OSA presence/absence. In this table the investigators report the ventilatory control sensitivity value (Loop Gain). It is calculated dividing the increase in ventilatory drive by the steady state reduction in ventilation. The increase in ventilatory drive is measured as the ventilatory overshoot following a switch to optimal CPAP from the minimum tolerable CPAP. This trait is symbolized as steady state loop gain (LG, adimensional)
Model Prediction of Absence/Presence of OSA: Passive CollapsibilitySubjects will be assessed on day 1 (visit 1) and up to 1 month (visit 2)Our published method estimates 4 important physiological traits causing OSA: 1) pharyngeal anatomy, 2) loop gain, 3) the ability of the upper airway to dilate/stiffen in response to increases in ventilatory drive, and 4) arousal threshold. Each individual's set of traits is then entered into a physiological model of OSA that graphically illustrates the relative importance of each trait in that individual and predicts OSA presence/absence. The passive collapsibility of the upper airway is quantified as the ventilation on no CPAP (atmospheric pressure) at the eupneic level of ventilatory drive when upper airway dilator muscles are relatively passive. This trait is symbolized as Vpassive (L/min)
Model Prediction of Absence/Presence of OSA: Active Collapsibility (Vactive)Subjects will be assessed on day 1 (visit 1) and up to 1 month (visit 2)Our published method estimates 4 important physiological traits causing OSA: 1) pharyngeal anatomy, 2) loop gain, 3) the ability of the upper airway to dilate/stiffen in response to increases in ventilatory drive, and 4) arousal threshold. Each individual's set of traits is then entered into a physiological model of OSA that graphically illustrates the relative importance of each trait in that individual and predicts OSA presence/absence. Active collapsibility is the ventilation on no CPAP when upper airway muscle are maximally activated. It is calculated by slowing reducing CPAP from the optimal to the minimum tolerable level and rapidly dropping the CPAP to 0 for a few breaths. This trait is symbolized as Vactive (L/min)

Secondary

MeasureTime frameDescription
Apnea-Hypopnea IndexSubjects will be assessed on day 1 (visit 1) and up to 1 month (visit 2)The Apnea-Hypopnea Index (AHI) is an index of sleep apnea severity that encompasses the frequency of apneas (cessations in breathing) and hypopneas (reductions in airflow).

Countries

United States

Participant flow

Recruitment details

Patients with a previous diagnosis of OSA (defined as an apnoea/hypopnoea index \[AHI\] \>10/hr) were recruited from the sleep clinic and Brigham and Women's Hospital and the general community (Boston, MA). The first patient was recruited in September 2012 and the last patient enrolled in May 2014.

Participants by arm

ArmCount
Study Group
This study was a randomized cross-over design so each particiapnt enrolled underweent both placebo and treatment conditions. During the placebo arm, one participant did not have OSA and another exhibited predominantly central sleep apnea; both were excluded from the analysis. Subject demographics for the 20 remaining unselected patients are shown below.
20
Total20

Baseline characteristics

CharacteristicStudy Group
Age, Continuous50.9 years
STANDARD_DEVIATION 11.8
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
20 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Gender
Female
8 Participants
Gender
Male
12 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
1 Participants
Race (NIH/OMB)
Black or African American
7 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
White
12 Participants
Region of Enrollment
United States
20 participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
— / —
other
Total, other adverse events
0 / 22
serious
Total, serious adverse events
0 / 22

Outcome results

Primary

Model Prediction of Absence/Presence of OSA: Active Collapsibility (Vactive)

Our published method estimates 4 important physiological traits causing OSA: 1) pharyngeal anatomy, 2) loop gain, 3) the ability of the upper airway to dilate/stiffen in response to increases in ventilatory drive, and 4) arousal threshold. Each individual's set of traits is then entered into a physiological model of OSA that graphically illustrates the relative importance of each trait in that individual and predicts OSA presence/absence. Active collapsibility is the ventilation on no CPAP when upper airway muscle are maximally activated. It is calculated by slowing reducing CPAP from the optimal to the minimum tolerable level and rapidly dropping the CPAP to 0 for a few breaths. This trait is symbolized as Vactive (L/min)

Time frame: Subjects will be assessed on day 1 (visit 1) and up to 1 month (visit 2)

Population: During the placebo arm, one participant did not have OSA and another exhibited predominantly central sleep apnea; both were excluded from the analysis. Subject results for the 20 remaining patients are reported here per intervention.

ArmMeasureValue (MEAN)Dispersion
Placebo DataModel Prediction of Absence/Presence of OSA: Active Collapsibility (Vactive)4.4 L/minStandard Error 0.5
Treatment DataModel Prediction of Absence/Presence of OSA: Active Collapsibility (Vactive)4 L/minStandard Error 0.45
p-value: 0.5t-test, 2 sided
Primary

Model Prediction of Absence/Presence of OSA: Passive Collapsibility

Our published method estimates 4 important physiological traits causing OSA: 1) pharyngeal anatomy, 2) loop gain, 3) the ability of the upper airway to dilate/stiffen in response to increases in ventilatory drive, and 4) arousal threshold. Each individual's set of traits is then entered into a physiological model of OSA that graphically illustrates the relative importance of each trait in that individual and predicts OSA presence/absence. The passive collapsibility of the upper airway is quantified as the ventilation on no CPAP (atmospheric pressure) at the eupneic level of ventilatory drive when upper airway dilator muscles are relatively passive. This trait is symbolized as Vpassive (L/min)

Time frame: Subjects will be assessed on day 1 (visit 1) and up to 1 month (visit 2)

Population: During the placebo arm, one participant did not have OSA and another exhibited predominantly central sleep apnea; both were excluded from the analysis. Subject results for the 20 remaining patients are reported here per intervention.

ArmMeasureValue (MEAN)Dispersion
Placebo DataModel Prediction of Absence/Presence of OSA: Passive Collapsibility1.40 L/minStandard Error 0.5
Treatment DataModel Prediction of Absence/Presence of OSA: Passive Collapsibility1.20 L/minStandard Error 0.41
p-value: 0.5t-test, 2 sided
Primary

Model Prediction of Absence/Presence of OSA: Ventilation That Causes an Arousal From Sleep (Varousal)

Our published method estimates 4 important physiological traits causing OSA: 1) pharyngeal anatomy, 2) loop gain, 3) the ability of the upper airway to dilate/stiffen in response to increases in ventilatory drive, and 4) arousal threshold. Each individual's set of traits is then entered into a physiological model of OSA that graphically illustrates the relative importance of each trait in that individual. In this table the investigators report the minimum ventilation that can be tolerated before an arousal from sleep (Varousal). It is calculated by slowly reducing the CPAP level from optimum to the minimum tolerable pressure. This trait is symbolized as Varousal (L/min)

Time frame: Subjects will be assessed on day 1 (visit 1) and up to 1 month (visit 2)

Population: During the placebo arm, one participant did not have OSA and another exhibited predominantly central sleep apnea; both were excluded from the analysis. Subject results for the 20 remaining patients are reported here per intervention.

ArmMeasureValue (MEAN)Dispersion
Placebo DataModel Prediction of Absence/Presence of OSA: Ventilation That Causes an Arousal From Sleep (Varousal)5.7 L/minStandard Error 0.3
Treatment DataModel Prediction of Absence/Presence of OSA: Ventilation That Causes an Arousal From Sleep (Varousal)5.2 L/minStandard Error 0.3
p-value: 0.05t-test, 2 sided
Primary

Model Prediction of Absence/Presence of OSA: Ventilatory Control Sensitivity (Loop Gain)

Our published method estimates 4 important physiological traits causing OSA: 1) pharyngeal anatomy, 2) loop gain, 3) the ability of the upper airway to dilate/stiffen in response to increases in ventilatory drive, and 4) arousal threshold. Each individual's set of traits is then entered into a physiological model of OSA that graphically illustrates the relative importance of each trait in that individual and predicts OSA presence/absence. In this table the investigators report the ventilatory control sensitivity value (Loop Gain). It is calculated dividing the increase in ventilatory drive by the steady state reduction in ventilation. The increase in ventilatory drive is measured as the ventilatory overshoot following a switch to optimal CPAP from the minimum tolerable CPAP. This trait is symbolized as steady state loop gain (LG, adimensional)

Time frame: Subjects will be assessed on day 1 (visit 1) and up to 1 month (visit 2)

Population: During the placebo arm, one participant did not have OSA and another exhibited predominantly central sleep apnea; both were excluded from the analysis. Subject results for the 20 remaining patients are reported here per intervention.

ArmMeasureValue (MEAN)Dispersion
Placebo DataModel Prediction of Absence/Presence of OSA: Ventilatory Control Sensitivity (Loop Gain)3.3 ratio, adimensionalStandard Error 0.5
Treatment DataModel Prediction of Absence/Presence of OSA: Ventilatory Control Sensitivity (Loop Gain)2.20 ratio, adimensionalStandard Error 0.25
p-value: 0.025t-test, 2 sided
Secondary

Apnea-Hypopnea Index

The Apnea-Hypopnea Index (AHI) is an index of sleep apnea severity that encompasses the frequency of apneas (cessations in breathing) and hypopneas (reductions in airflow).

Time frame: Subjects will be assessed on day 1 (visit 1) and up to 1 month (visit 2)

Population: During the placebo arm, one participant did not have OSA and another exhibited predominantly central sleep apnea; both were excluded from the analysis. Subject results for the 20 remaining patients are reported here per intervention.

ArmMeasureValue (MEAN)Dispersion
Placebo DataApnea-Hypopnea Index51.9 events/hrStandard Error 6.2
Treatment DataApnea-Hypopnea Index29.5 events/hrStandard Error 5.3
p-value: 0.001t-test, 2 sided

Source: ClinicalTrials.gov · Data processed: Feb 28, 2026