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- Sperimentazione clinica NCT07785999
CES-EES Clinical Score and a Wearable Ring Sensor for Obstructive Sleep Apnea: Individual and Combined Validation Against In-Laboratory Polysomnography
Validation of Clinical Upper Airway Assessment Tool With Artificial Intelligence Wearable Technology Against In-Lab Polysomnography
Panoramica dello studio
Stato
Condizioni
Intervento / Trattamento
Descrizione dettagliata
Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder associated with cardiovascular, cerebrovascular, and other long-term health consequences if untreated. In-lab polysomnography (PSG) is the diagnostic reference standard but is resource-intensive, costly, and associated with long waiting times. Existing screening tools such as the STOP-BANG questionnaire and the Epworth Sleepiness Scale (ESS) have recognized sensitivity/specificity trade-offs. The Clinical Examination Score (CES) combined with the ENT Examination Score (EES) is a previously described clinical scoring tool for OSA screening. The Belun Ring (Belun Sleep System BLS-100) is an FDA 510(k)-cleared (Class II), Malaysia Medical Device Authority-registered, AI/deep-learning-facilitated wearable capable of estimating AHI, sleep staging, and OSA severity.
This is a prospective, comparative, single-centre study conducted at Universiti Malaya Medical Centre (UMMC). Adults referred to the Otorhinolaryngology sleep clinic for suspected OSA, with high ESS and/or STOP-BANG scores, are screened with the CES-EES; those scoring 4 or more and otherwise meeting eligibility criteria are enrolled. After informed consent, participants undergo a standardised history, demographic data collection, and physical examination (oral cavity examination, flexible nasopharyngeal endoscopy, dental assessment), followed by a single overnight Level 1 in-lab PSG (Compumedics, 7-channel) at the UMMC Neurology Sleep Lab. The Belun Ring is fitted to the participant's index finger concurrently with standard PSG electrodes, so both devices record simultaneously during the same overnight study. A minimum of 4 hours total sleep time (TST) is required; participants with less than 4 hours TST are excluded from analysis. Both PSG and Belun Ring AHI are scored using AASM 1A criteria (hypopnea defined by desaturation of 3% or more). PSG is manually scored by a sleep technician; Belun Ring output is processed by the device's AI algorithm and independently cross-checked by two investigators.
The primary comparisons are: (1) CES-EES score against PSG AHI; (2) Belun Ring AHI against PSG AHI; and (3) CES-EES combined with Belun Ring AHI against PSG AHI. Planned statistical analyses include the paired t-test or Wilcoxon signed-rank test for comparative analysis, Bland-Altman plots for agreement/bias analysis, the intraclass correlation coefficient (ICC) for inter-scorer reliability, and descriptive statistics (mean, median, SD, range).
Tipo di studio
Iscrizione (Stimato)
Contatti e Sedi
Contatto studio
- Nome: Dr. Kugan a/l Varatha Raju, MD
- Numero di telefono: +6012-4559957
- Email: kugan.varatha@ummc.edu.my
Backup dei contatti dello studio
- Nome: Associate Professor Dr. Goh Liang Chye, MBBS
- Email: gohlc@ummc.edu.my
Luoghi di studio
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Kuala Lumpur
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Pantai Valley, Kuala Lumpur, Malaysia, 59100
- Reclutamento
- Universiti Malaya Medical Centre (UMMC)
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Investigatore principale:
- Varatha Raju Kugan, MD
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Sub-investigatore:
- Liang Chye Goh, MBBS
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Sub-investigatore:
- Kheng Seng Lim, MBBS
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Criteri di partecipazione
Criteri di ammissibilità
Età idonea allo studio
- Adulto
- Adulto più anziano
Accetta volontari sani
Metodo di campionamento
Popolazione di studio
Descrizione
Inclusion Criteria:
- ≥18 years old
- Patients with suspected OSA (high ESS and/or STOP-BANG score)
- CES-EES score 4 or more
- Newly diagnosed cases
- Minimum 4 hours of Total Sleep Time (TST)
Exclusion Criteria:
- Active URTI (upper respiratory tract infection) in the past 1 month
- Current smoker
- Alcohol consumption within 8 hours prior to testing
- History of head and neck carcinoma
- Active respiratory or neurological disorders
- Active psychiatric disorders and currently on psychiatric medication
Piano di studio
Come è strutturato lo studio?
Dettagli di progettazione
Coorti e interventi
Gruppo / Coorte |
Intervento / Trattamento |
|---|---|
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Adults with suspected OSA undergoing concurrent CES-EES scoring, Belun Ring monitoring, and in-lab P
Adults with suspected OSA undergoing concurrent CES-EES scoring, Belun Ring monitoring, and in-lab PSG
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AI/deep-learning-facilitated wearable ring worn on the index finger concurrently with standard PSG electrodes during the overnight PSG study; estimates AHI, sleep stages, and OSA severity using AASM 1A scoring criteria (desaturation of 3% or more defines hypopnea).
Combined Clinical Examination Score (CES) and ENT Examination Score (EES), administered via history, oral cavity examination, flexible nasopharyngeal endoscopy, and dental assessment prior to PSG.
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Cosa sta misurando lo studio?
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
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Apnea-Hypopnea Index (AHI)
Lasso di tempo: Baseline
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AHI (events/hour) derived from polysomnogram or wearable sleep study, scored using AASM 1A criteria (desaturation of 3% or more defines hypopnea); output cross-checked by two independent investigators.
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Baseline
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Misure di risultato secondarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
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Sleep quality parameters
Lasso di tempo: Baseline
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Total sleep time (TST), sleep latency, wake after sleep onset (WASO), sleep efficiency, and lowest oxygen saturation (LSAT)
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Baseline
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Epworth Sleepiness Scale (ESS) score
Lasso di tempo: Baseline
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Self-reported daytime sleepiness questionnaire
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Baseline
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Collaboratori e investigatori
Sponsor
Collaboratori
Investigatori
- Investigatore principale: Varatha Raju Kugan, MD, Department of Otorhinolaryngology, Head & Neck Surgery, Universiti Malaya Medical Centre
Pubblicazioni e link utili
Pubblicazioni generali
- Chung F, Yegneswaran B, Liao P, Chung SA, Vairavanathan S, Islam S, Khajehdehi A, Shapiro CM. STOP questionnaire: a tool to screen patients for obstructive sleep apnea. Anesthesiology. 2008 May;108(5):812-21. doi: 10.1097/ALN.0b013e31816d83e4.
- Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991 Dec;14(6):540-5. doi: 10.1093/sleep/14.6.540.
- Gottlieb DJ, Punjabi NM. Diagnosis and Management of Obstructive Sleep Apnea: A Review. JAMA. 2020 Apr 14;323(14):1389-1400. doi: 10.1001/jama.2020.3514.
- Strumpf Z, Gu W, Tsai CW, Chen PL, Yeh E, Leung L, Cheung C, Wu IC, Strohl KP, Tsai T, Folz RJ, Chiang AA. Belun Ring (Belun Sleep System BLS-100): Deep learning-facilitated wearable enables obstructive sleep apnea detection, apnea severity categorization, and sleep stage classification in patients suspected of obstructive sleep apnea. Sleep Health. 2023 Aug;9(4):430-440. doi: 10.1016/j.sleh.2023.05.001. Epub 2023 Jun 26.
- 6. Hasan KIB, Lim KS, Goh LC, Fong SL, Ramanaidu LP, Lee ZY, Tan CT. Sequential screenings improve prediction in obstructive sleep apnoea severity. Neurology Asia. 2025;30(2):571-585.
- 1. American Academy of Sleep Medicine. International Classification of Sleep Disorders. 3rd ed. Darien, IL: American Academy of Sleep Medicine; 2014.
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Primo Inserito (Effettivo)
Aggiornamenti dei record di studio
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Maggiori informazioni
Termini relativi a questo studio
Parole chiave
Termini MeSH pertinenti aggiuntivi
Altri numeri di identificazione dello studio
- UMMC-MREC 202583-15424
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