Status:

RECRUITING

Leveraging Artificial Intelligence and Multi-Omics Data to Predict Opioid Addiction

Lead Sponsor:

University of California, San Diego

Collaborating Sponsors:

VA Palo Alto Health Care System

San Diego Veterans Healthcare System

Conditions:

Opioid Use Disorder

Addiction, Opioid

Eligibility:

All Genders

18+ years

Brief Summary

The primary goal of this proposal is to validate a novel genomic and microbiome predictive model that may be used to assess a person's risk of developing opioid use disorder (OUD). The following will ...

Detailed Description

The primary goal of this proposal is to validate a novel genomic and microbiome predictive model that may be used to assess a person's risk of developing opioid use disorder (OUD). The following will ...

Eligibility Criteria

Inclusion

  • diagnosis of OUD (active or in remission) defined by the DSM-5 criteria
  • age ≥ 18 years old

Exclusion

  • inability to participate independently with the study (i.e. dementia)
  • chronic opioid use that is not consistent with a diagnosis of OUD
  • patients that are pregnant
  • children
  • institutionalized individuals
  • non-English speaking subjects as there are several surveys without appropriate translation and with sensitive information (e.g., questions about mental health and history of drug use) that is required to complete the study.

Key Trial Info

Start Date :

August 26 2024

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

September 30 2027

Estimated Enrollment :

300 Patients enrolled

Trial Details

Trial ID

NCT06540105

Start Date

August 26 2024

End Date

September 30 2027

Last Update

September 20 2024

Active Locations (1)

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Page 1 of 1 (1 locations)

1

University of California, San Diego

La Jolla, California, United States, 92037

Leveraging Artificial Intelligence and Multi-Omics Data to Predict Opioid Addiction | DecenTrialz