Mental Health Crises in Youth With IDDs

Study Results

Results pending

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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Recruitment Status

RECRUITING

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-03-29

Study Completion Date

2027-07-01

Brief Summary

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This study is an unmatched, case-control study of 150 youth (Ages 7-17) with a parent reported Intellectual Developmental Disability (IDD) who present to Rady Children's Hospital Emergency Department with a Mental Health Crisis (MHC). Rady Children's Institute for Genomic Medicine (RCIGM) will collect biological samples (such as blood) of these participants to study their genomes, medical and psychiatric profiles to better understand specific characteristics that may predispose them to MHC's. The 150 youth will be compared to historical, publicly available cohorts of youth with IDD's

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Detailed Description

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Approximately 7 million youth in the US have intellectual and developmental disabilities (IDDs) and about 10% of youth with IDDs are admitted to hospitals due to a mental health crisis (MHC) each year. With insufficient community services to support youth with IDDs and less than half of US mental health facilities providing services for them, emergency departments (EDs) have boarding rates for children with IDDs 2-3 times higher than peers without IDDs, part of a national youth mental health crisis. There is a critical need to identify youth with IDDs at risk for MHCs prior to onset. Machine-learning based electronic health record (EHR) analysis and whole genome sequencing (WGS) will be used to identify biopsychosocial and genomic risk factors that put youth with IDDs at risk for MHCs so that at-risk patients can be identified early and improved models of psychiatric care can be developed. Demographic, biomedical, socioeconomic, and service use data will be extracted from Rady Children's Hospital San Diego (RCHSD) EHR for 150 youth with IDDs presenting to the ED for MHCs. This experimental group will be compared to two historical groups of youth from the RCHSD EHR: 1)\~4000 youth with IDDs and psychiatric comorbidities but no history of MHCs and 2) \~4000 youth with IDDs without any psychiatric history. A machine learning-based network model will be used to classify psychiatric outcomes for youth with IDDs and perform leave-one-out cross validation to estimate the performance of these models and calculate metrics of classification performance. WGS will be completed for the cohort of 150 youth and neuropsychiatric polygenic scores (PGS) will be derived and their effect sizes compared to two groups of youth with IDDs from the Simons Simplex Collection: 1) \~50 youth with IDDs and severe psychiatric comorbidities and 2) \~1000 youth with IDDs and minimal or no psychiatric comorbidities. The rate of pathogenic rare variants will also be compared across cohorts. By applying machine learning methods to EHR data leveraging WGS, a combination of factors will be identified that predict psychiatric outcomes in youth with IDDs with high accuracy to allow for earlier intervention.

Conditions

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Intellectual Disability

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Enrollees

These participants will be subject to whole genome sequencing to identify genetic changes and a EHR-Based network model to predict psychiatric outcomes in youth with IDDs.

Genomic sequencing and molecular diagnostic results, if any.

Intervention Type GENETIC

Genomic sequencing results may be used for diagnosis and treatment of participants.

EHR-Based Network Model

Intervention Type OTHER

EHR-based network will be created to predict psychiatric outcomes in youth with IDDs

Historical Control Group

A historical control group from public databases will be used to compare against enrollees.

No interventions assigned to this group

Interventions

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Genomic sequencing and molecular diagnostic results, if any.

Genomic sequencing results may be used for diagnosis and treatment of participants.

Intervention Type GENETIC

EHR-Based Network Model

EHR-based network will be created to predict psychiatric outcomes in youth with IDDs

Intervention Type OTHER

Other Intervention Names

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Pediatric Precision Medicine

Eligibility Criteria

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Inclusion Criteria

Child/adolescents admitted to the RCHSD ED with an IDD presenting in a MHC that includes, but is not limited to:

* Aggression towards others
* Severe agitation
* Self-injury
* Elopement

OR

Biological parents of child/adolescent enrolled in this study for the purposes of reflex testing. (Family members are eligible for participation in this study if they presumed genetically related to a participant).

* Already received any prior whole genome sequencing or exome sequencing
* Unable to approach the family or patient for enrollment
* Unable to obtain informed consent
* family members are ineligible for participation in this study if they are known to not be genetically related to the child/adolescent participant and/or if they are a member of a protected research population.

Minimum Eligible Age

7 Years

Maximum Eligible Age

17 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No