Sleep Signal Analysis for Current Major Depressive Episode (SAMDE)
NCT ID: NCT05708222
Last Updated: 2024-07-11
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
715 participants
OBSERVATIONAL
2022-09-01
2024-07-09
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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Self Reported Assessment
This group of patients will self report their answers to the MINI assessment.
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.
Clinician Interview Assessment
This group of patients will complete the MINI assessment via an interactive interview conducted by a qualified clinician.
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.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
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
1. Subject has a pacemaker.
2. Subject has undergone a heart transplant.
3. Subject is undergoing a full night C-PAP titration study.
22 Years
75 Years
ALL
No
Sponsors
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Medibio Limited
INDUSTRY
Responsible Party
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Principal Investigators
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Archie Defillo, MD
Role: STUDY_CHAIR
Medibio Limited
Melissa E Bruner, MS
Role: STUDY_DIRECTOR
Medibio Limited
Locations
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Medbridge Healthcare
Bradenton, Florida, United States
Lakeland Sleep Store
Blaine, Minnesota, United States
Lakeland Sleep
Plymouth, Minnesota, United States
Medbridge Healthcare
Clayton, North Carolina, United States
Medbridge Healthcare
Raleigh, North Carolina, United States
Medbridge Healthcare
Wilson, 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
Medbridge Healthcare
Sumter, South Carolina, United States
Comprehensive Sleep Medicine Associates
Austin, Texas, United States
Comprehensive Sleep Medicine Associates
Sugar Land, Texas, United States
Comprehensive Sleep Medicine Associates
The Woodlands, Texas, United States
Countries
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References
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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 27.
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.neuropsych.21060148. Epub 2022 Mar 21.
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 Psychiatry. 2021 Apr 20;107:110208. doi: 10.1016/j.pnpbp.2020.110208. Epub 2020 Dec 15.
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.
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.
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 2020 Sep 7.
Other Identifiers
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CIP-0089
Identifier Type: -
Identifier Source: org_study_id
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