- ICH GCP
- US Clinical Trials Registry
- Klinisk forsøg NCT01286636
Artificial Neural Network Directed Therapy of Severe Obstructive Sleep Apnea
The investigators have developed a simple, accurate, and a point-of-care, computer-based clinical decision support system (CDSS) not only to detect the presence of sleep apnea but also to predict its severity. The CDSS is based on deploying an artificial neural network (ANN) derived from anthropomorphic and clinical characteristics.
The investigators hypothesize that patients with severe OSA defined as AHI≥30 can be diagnosed with the use of ANN without undergoing a sleep study, and that empiric management with auto-CPAP has similar outcomes to those who undergo a formal sleep study.
Studieoversigt
Status
Betingelser
Intervention / Behandling
Undersøgelsestype
Fase
- Fase 3
Kontakter og lokationer
Studiesteder
-
-
New York
-
Buffalo, New York, Forenede Stater, 14215
- Veterans Affairs Medical Center in Buffalo
-
-
Deltagelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
Tager imod sunde frivillige
Køn, der er berettiget til at studere
Beskrivelse
Inclusion Criteria:
- Must be an adult (≥18 years old)
- Must have symptoms suggestive of OSA, and be considered for sleep study by the sleep specialist provider.
Exclusion Criteria:
- Pregnancy or breast feeding
- Patients with severe congestive heart failure (eg, NYHA Class IV, ejection fraction < 35%).
- Patients with end-stage renal disease on hemodialysis
- Patients with CVA, Parkinson, neuromuscular degenerative disease.
- Patient on narcotics.
- Patients with severe lung disease requiring oxygen at night and/or during the day.
- Patient with predominant insomnia or sleep hygiene problems, and who are not considered for PSG by the sleep specialist.
Studieplan
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Diagnostisk
- Tildeling: Randomiseret
- Interventionel model: Parallel tildeling
- Maskning: Ingen (Åben etiket)
Våben og indgreb
Deltagergruppe / Arm |
Intervention / Behandling |
|---|---|
|
Eksperimentel: artificial neural network
|
Diagnosis of Sleep apnea and treatment guidance will rely on a computer model prediction.
|
|
Aktiv komparator: Polysomnogram
|
Diagnosis of sleep apnea will rely on polysomnogram
|
Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Tidsramme |
|---|---|
|
To demonstrate that using an ANN directed management of OSA is not inferior to PSG directed management of OSA in terms of sleepiness related functional outcome
Tidsramme: 6 weeks
|
6 weeks
|
Samarbejdspartnere og efterforskere
Samarbejdspartnere
Efterforskere
- Ledende efterforsker: Ali El-Solh, MD, MPH, State University of New York at Buffalo
Datoer for undersøgelser
Studer store datoer
Studiestart
Primær færdiggørelse (Faktiske)
Studieafslutning (Faktiske)
Datoer for studieregistrering
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først opslået (Skøn)
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Skøn)
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Nøgleord
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
- ANN02
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