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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05708222
Other study ID # CIP-0089
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date September 1, 2022
Est. completion date June 2024

Study information

Verified date April 2024
Source Medibio Limited
Contact Melissa E Bruner, MS
Phone +1(612) 616-5005
Email melissa.bruner@medibio.com.au
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The objective of this study is to collect data to finalize the development of MEB-001 software as a medical device. The data collected in this study will be used to develop MEB-001 machine learning algorithms by training the algorithms to match the patient's demographic and clinical information, and the objective physiological signals (i.e., electroencephalogram (EEG) and electrocardiogram (ECG)) recorded during PSG with the diagnosis of cMDE performed through the MINI neuropsychiatric evaluation.


Description:

This is a two (2)-phase, single-arm, prospective, non-significant risk, multi-center trial where each enrolled subject's data will be used for the development of MEB-001. Study Population: Subjects who are at least 22 years old but not older than 75 years old, who have been referred to a sleep clinic for sleep disturbances and sign an informed consent form (ICF) will be evaluated for participation in this study. The selection of the population involved in the study will consider the geographic diversity needed to obtain a representative sample of the intended use population. Centers will be selected to secure geographic and clinical diversity across the USA to obtain a representative distribution of the intended patient population. All patients undergoing PSG due to primary or secondary sleep disorders, which include, but are not limited to, Sleep-Related Movement Disorders, Sleep-Related Breathing Disorders, Intrinsic and Extrinsic Circadian Rhythm Sleep-Wake Disorders, Hypersomnia, Parasomnia, and Insomnia, will be consecutively recruited, according to the inclusion/exclusion criteria.


Recruitment information / eligibility

Status Recruiting
Enrollment 800
Est. completion date June 2024
Est. primary completion date May 2024
Accepts healthy volunteers No
Gender All
Age group 22 Years to 75 Years
Eligibility Inclusion Criteria: Subjects must meet ALL the following conditions to be eligible to participate in the study: 1. Subject is age = 22 years and = 75 years. 2. Subject is undergoing polysomnography due to suspected primary or secondary sleep disorders. 3. Subject is willing and able to provide informed consent. 4. Subject has the ability to read and understand the instructions for the study. 5. Subject is willing to adhere to study procedures. 6. Subject is willing to undergo full night diagnostic PSG study, as prescribed. Exclusion Criteria: Subjects will not be eligible, and they will not be recruited to participate in the study if any of the following conditions are present: 1. Subject has a pacemaker. 2. Subject has undergone a heart transplant. 3. Subject is undergoing a full night C-PAP titration study.

Study Design


Intervention

Device:
MEB-001
The study is for the development of a software medical device. The study participant will complete study specific questionnaires and undergo a routine sleep study. The medical device will not provide any treatment or interventions.

Locations

Country Name City State
United States Comprehensive Sleep Medicine Associates Austin Texas
United States Lakeland Sleep Store Blaine Minnesota
United States Medbridge Healthcare Bradenton Florida
United States Medbridge Healthcare Clayton North Carolina
United States Ohio Sleep Solutions Columbus Ohio
United States Ohio Sleep Solutions Grove City Ohio
United States Medbridge Healthcare North Charleston South Carolina
United States Lakeland Sleep Plymouth Minnesota
United States Medbridge Healthcare Raleigh North Carolina
United States Comprehensive Sleep Medicine Associates Sugar Land Texas
United States Medbridge Healthcare Sumter South Carolina
United States Comprehensive Sleep Medicine Associates The Woodlands Texas
United States Medbridge Healthcare Wilson North Carolina

Sponsors (1)

Lead Sponsor Collaborator
Medibio Limited

Country where clinical trial is conducted

United States, 

References & Publications (6)

Caldirola D, Cuniberti F, Dacco S, Grassi M, Torti T, Perna G. Predicting New-Onset Psychiatric Disorders Throughout the COVID-19 Pandemic: A Machine Learning Approach. J Neuropsychiatry Clin Neurosci. 2022 Summer;34(3):233-246. doi: 10.1176/appi.neuropsy — View Citation

Caldirola D, Dacco S, Cuniberti F, Grassi M, Alciati A, Torti T, Perna G. First-onset major depression during the COVID-19 pandemic: A predictive machine learning model. J Affect Disord. 2022 Aug 1;310:75-86. doi: 10.1016/j.jad.2022.04.145. Epub 2022 Apr — View Citation

Dacco S, Caldirola D, Grassi M, Alciati A, Perna G, Defillo A. High prevalence of major depression in US sleep clinics: the need for routine depression screening in sleep services. J Clin Sleep Med. 2023 Apr 1;19(4):835-836. doi: 10.5664/jcsm.10398. — View Citation

Perna G, Alciati A, Dacco S, Grassi M, Caldirola D. Personalized Psychiatry and Depression: The Role of Sociodemographic and Clinical Variables. Psychiatry Investig. 2020 Mar;17(3):193-206. doi: 10.30773/pi.2019.0289. Epub 2020 Mar 12. — View Citation

Perna G, Cuniberti F, Dacco S, Nobile M, Caldirola D. Impact of respiratory protective devices on respiration: Implications for panic vulnerability during the COVID-19 pandemic. J Affect Disord. 2020 Dec 1;277:772-778. doi: 10.1016/j.jad.2020.09.015. Epub — View Citation

Perna G, Dacco S, Alciati A, Cuniberti F, De Berardis D, Caldirola D. Childhood maltreatment history for guiding personalized antidepressant choice in major depressive disorder: Preliminary results from a systematic review. Prog Neuropsychopharmacol Biol — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Development of software as a medical device for the assessment of current major depressive episodes. Evaluation of patient objective and subjective measures to develop algorithm to determine whether the patient is experiencing a current major depressive episode. 24 months
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