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Analysis of Sleep Study Data to Assess Depressive Burden

Development and Validation of an Algorithm to Identify a Clinically Significant Depressive Burden in Individuals Referred to Sleep Clinics for Polysomnography (PSG) Assessment (Sleep Analysis of Depressive Burden - SADB)

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04232267
Acronym
SADB
Enrollment
329
Registered
2020-01-18
Start date
2020-01-13
Completion date
2022-03-01
Last updated
2023-12-21

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

Conditions

Depressive; Behavioral Disorder, Mood Disorders, Sleep Disorder

Brief summary

This study evaluates the effectiveness of the MEB-001 device in assessing physiological parameters that provide a clinically significant depressive burden screener. This study uses objective physiological markers from MEB-001 to estimate the clinically significant depressive burden as subjectively reported by the subject with the Beck Depression Inventory - II (BDI-II).

Detailed description

This study evaluates the effectiveness of the MEB-001 device in assessing physiological parameters that provide a clinically significant depressive burden screener. This study uses objective physiological markers from MEB-001 to estimate the clinically significant depressive burden as subjectively reported by the subject with the BDI-II. This is a two (2)-phase, non-significant risk, cross-sectional, naturalistic, single-arm, multi-center study conducted under a common protocol and designed to: Phase 1: MEB-001 algorithm development (software medical device). Phase 2: Evaluate the effectiveness of the MEB-001 device in assessing physiological parameters that provide clinically significant depressive burden screener.

Interventions

DEVICEMEB-001

Software medical device used to aid in the screening of patients with potential depressive burden symptoms.

Sponsors

Medibio Limited
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

* Subject is age ≥18 years and ≤75 years. * Subject is willing and able to provide consent. * Subject has the ability to read and understand the instructions for the study. * Subject is willing to adhere to study procedures. * Subject is willing to undergo full night PSG study, as prescribed.

Exclusion criteria

* Subject has a pacemaker. * Subject is suspected or known to have active alcohol or drug abuse (including but not limited to abuse of marijuana).

Design outcomes

Primary

MeasureTime frameDescription
Report assists in the detection of clinically significant depressive burden.The study consists of 1 study visit (baseline).Utilize PSG data and BDI-II to determine clinical depressive burden.
Evaluate algorithm accuracy, sensitivity and specificity.The study consists of 1 study visit (baseline).Sensitivity: True Positive/BDI-II + (the percentage of BDI-II positives identified by MEB-001) Specificity: True Negative/BDI-II - (the percentage of BDI-II negatives identified by MEB-001)

Secondary

MeasureTime frameDescription
Evaluate positive predictive value and negative predictive value in detecting clinically significant depressive burden.The study consists of 1 study visit (baseline).Positive predictive value: True Positive/MEB-001 + (the percentage of MEB-001 positive test results that agree with BDI-II) Negative predictive value: True Negative/MEB-001 - (the percentage of MEB-001 negative test results that agree with BDI-II)
System reliability and internal consistency.The study consists of 1 study visit (baseline).The MEB-001 is able to assess clinically depressive burden compared to the BDI-II

Countries

United States

Outcome results

None listed

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