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Evaluation of An Optical Measurement Algorithm Combined With Patient and Provider Input to Reduce Mask Exchanges During Initial Positive Airway Pressure Therapy

NCT04688125 · View on ClinicalTrials.gov ↗

Study Summary

Continuous positive airway pressure and non-invasive ventilation are common treatment modalities for obstructive sleep apnea, central sleep apnea, and chronic alveolar hypoventilation from a variety of causes. Use of positive airway pressure (PAP) requires use of an interface, commonly referred to as a "mask." There are a range of mask options available, differing in configuration and sizing, including masks that fit into the nostrils (nasal pillows, NP), cover the nose (nasal masks, NM), cover both the nose and the mouth (oronasal masks, ONM), and rarely those that fit into the mouth (oral masks, OM) or over the entire face. The variety of masks, sizes, and materials result from the wide variety of facial configurations and patient preferences along with requirements to provide a good seal for varying pressure requirements. Failure to find a good match for a given patient may result in significant side effects, such as eye irritation owing to leak into the eyes, skin pressure sores, noise generation, and inadequate therapy when air leaks are extreme. Pressure sores, mask dislodgement, claustrophobic complaints, air leaks, and sore eyes occur in 20-50% of patients with OSA receiving PAP, and these effects negatively correlate with PAP compliance. Furthermore, several trials point to differences in compliance related to which types of masks are utilized. In a randomized cross-over trial, compliance was 1 hour more per night in patients using NM compared to those using ONM.1 In another, NPs were associated with fewer adverse effects and better subjective sleep quality than NMs.2 Therefore, failure to find an acceptable mask results in lower or non-compliance, and therefore treatment failure. Currently, finding a right mask is performed either using crude templates, or via an iterative process, variably guided by experts in mask fitting. There are no standard certifications or algorithms to guide mask fitting. Given the above, it would be very desirable to find a reli

Study Locations (1)

Minnesota

  • Mayo Clinic in Rochester — Rochester

Trial Details

FieldValue
Enrollment Target 67 participants
Start Date 2021-06-17
Est. Completion 2024-12-31

Sponsor

Mayo Clinic

3,246 total trials

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Full Details on ClinicalTrials.gov ↗

What the Registry Record Tells You About NCT04688125

The ClinicalTrials.gov registry entry for NCT04688125 describes a study currently listed as completed. It is categorized as an unspecified phase, which is the standard way researchers label where a study sits along the investigational pathway from early safety work through later efficacy and post-marketing evaluation. The registered enrollment target is 67 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is Mayo Clinic, which has 3,246 total studies on file at ClinicalTrials.gov, and sponsors are the parties responsible for study design, oversight, and regulatory filings.

The record links to 3 conditions, with Sleep Apnea, Obstructive appearing as the primary indexed condition, and to 0 interventions. Interventions can include drugs, devices, procedures, behavioral programs, or observational arms, and each is tracked as a separate registry field so that downstream queries can filter accurately. When a trial lists multiple interventions, it usually reflects a multi-arm design or a comparison protocol rather than a single treatment being tested in isolation. The brief summary published in the registry is the clearest source of protocol intent and should be read before drawing conclusions from any sidebar tags.

Geographic footprint matters for practical reasons: NCT04688125 reports 1 study location spanning 1 distinct geographic area — top geographies include Minnesota. A larger site network tends to correlate with broader recruitment capacity, but it does not imply anything about study quality, and site-level enrollment status can diverge from the overall registry status shown above. Every data point on this page comes from the public ClinicalTrials.gov dataset and is reproduced here for reference only; it is not a medical recommendation, an endorsement of the sponsor, or an invitation to enroll. Verify current status, eligibility criteria, and contact details directly at ClinicalTrials.gov, and discuss any participation decision with your own healthcare provider.

Frequently Asked Questions

What is clinical trial NCT04688125 about?

NCT04688125 is a clinical study titled "Evaluation of An Optical Measurement Algorithm Combined With Patient and Provider Input to Reduce Mask Exchanges During Initial Positive Airway Pressure Therapy". Continuous positive airway pressure and non-invasive ventilation are common treatment modalities for obstructive sleep apnea, central sleep apnea, and chronic alveolar hypoventilation from a variety of causes. Use of positive airway pressure (PAP) requires use of an interface, commonly referred to a...

What is the current status of trial NCT04688125?

This trial is currently completed. The enrollment target is 67 participants. The study started on 2021-06-17. Estimated completion is 2024-12-31.

What conditions does trial NCT04688125 study?

This clinical trial studies the following conditions: Sleep Apnea, Obstructive, Sleep Apnea Syndromes, Obesity Hypoventilation Syndrome (OHS). These conditions were identified from the trial registry and reflect the primary focus areas of the research.

Who is sponsoring clinical trial NCT04688125?

This trial is sponsored by Mayo Clinic, which has 3,246 total clinical trials registered on ClinicalTrials.gov. The sponsor is responsible for the study's design, funding, and regulatory compliance.

Where is trial NCT04688125 being conducted?

This trial has 1 study location across Minnesota. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.

Related

Data sourced from official U.S. government datasets. See our methodology for details. Retrieved and formatted by PlainTrial Editorial