ADHD Medication and Predictors of Treatment Outcome (ADAPT)

October 16, 2023 updated by: Linda Halldner Henriksson, Karolinska Institutet

Naturalistic Study of ADHD Medication and Predictors of Treatment Outcome

ADHD medication of children and adolescents is becoming increasingly common. Clinical experience and scientific studies have proven that approximately 30% of children/adolescents with ADHD do not benefit from this treatment. However, there is insufficient knowledge about who these children are. All children and adolescents, who start treatment with ADHD medication at public Child and Adolescent Psychiatry units in Stockholm, on Gotland, an in Västerbotten, will be asked to participate in the study. The investigators intend to monitor the patients´clinical symptoms and possible side-effects after treatment start. The investigators will collect background information and saliva samples from the patient and his/her parents to be able to study if there are any genetic (hereditary) or other markers that can predict positive or negative outcomes of the ADHD medication. With this information, the investigators aim at, to a greater extent, be able to individualize treatment choices for children and adolescents with ADHD without unnecessary, costly and possibly unfavorable treatment attempts.

Study Overview

Detailed Description

The specific aims for the ADAPT study are:

  1. Investigate if certain gene polymorphisms are associated with poor effect of ADHD drugs (non-responders).
  2. Investigate if other biologically, phenotypic or psychosocial factors are associated with poor effect of ADHD drugs (non-responders).
  3. Investigate if the frequency of side-effects of ADHD drugs differs between children with different genotypes.
  4. Investigate if the frequency of side-effects of ADHD drugs differs between children with different phenotypic and/or psychosocial factors

Method:

This study has a naturalistic design. The aim is to map all new treatments with ADHD drugs at all 13 public BUP units in Stockholm County, one BUP unit on Gotland, and three BUP units in Västerbotten Region. The participation means that medication is initiated as planned in normal clinical practice by the child´s ordinary physician, and beyond this only means a somewhat denser and more structured follow-up. In addition, the investigators will ask for saliva samples from the patient and his/her parents. The investigators aim at including at least 1000 individuals in total in the study.

Part of the data will be collected via the national Quality Register for ADHD Treatment Follow-up (BUSA), which has approved security procedures approved by the Swedish Data Inspection Board.

Case report forms are computerized and separate from the database registry for collected study data. The database and detailed variable lists are constructed in collaboration with professional database managers.

Standard Operation Procedures are designed in collaboration by project coordinator, study nurse and principal investigator, and may be revised after pilot phase.

Collected samples will be stored at KI biobank.

Data analysis:

  1. To judge if the patient is a responder to ADHD drugs the SNAP-IV rating of ADHD symptoms (before and after medication start) is used. The patients who at 3 months have an at least 40% reduction in SNAP-IV score are reckoned "responders" and those who at the same time point have a less than 20% change in SNAP-IV score are reckoned "non-responders". Differences between the groups will be analyzed with logistic regression, with responder status as depending variable, and genotype and the other risk markers (biological, phenotypic, and psychosocial markers) as independent variables after correction for symptoms at baseline. Even a 50% drop-out rate will (i.e. 1000 out of estimated 2000 eligible individuals) give a 98% power to identify a 49% increase in non-responder proportion for a specific genotype.
  2. Concomitantly, the outcome in side-effects, heart rate, blood pressure, weight (z-score) and length (z-score) will be analyzed with linear regression with the same independent variables.
  3. The analyses are performed separately for each ADHD drug.
  4. There are significantly more boys than girls (about 4:1) with ADHD. Given the sex difference in prevalence it is obvious to also include sex as a covariate in our analyses of treatment outcome.
  5. Missing data will be treated according to the principles of complete case and multiple imputation.

Study Type

Observational

Enrollment (Actual)

632

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Stockholm County
      • Stockholm, Stockholm County, Sweden
        • Division for Child and Adolescent Psychiatry in Stockholm

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

6 years to 18 years (Child, Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

All children/adolescents starting ADHD medication at the public child and adolescent psychiatry services in Stockholm and on Gotland

Description

Inclusion Criteria:

  • Clinical diagnosis of ADHD
  • Starting medication against ADHD symptoms with atomoxetine, methylphenidate, lisdexamphetamine, or guanfacine

Exclusion Criteria: Any medication against ADHD the last 3 months

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Children with ADHD medication
Identified responders and non-responders in children/adolescents starting medication for treatment of ADHD in public child and adolescent psychiatric services in Stockholm, on Gotland, and in Västerbotten.
Other Names:
  • Concerta
  • Ritalin
  • Medikinet
  • N06BA04
  • Equasym
Other Names:
  • Strattera
  • N06BA09
Other Names:
  • N06BA12
  • Elvanse
Other Names:
  • Intuniv
  • C02AC02
Lisdexamphetamine medication
Identified responders and non-responders in children/adolescents starting medication with lisdexamphetamine in public child and adolescent psychiatric services in Stockholm and on Gotland.
Other Names:
  • N06BA12
  • Elvanse
Atomoxetine medication
Identified responders and non-responders in children/adolescents starting medication with atomoxetine in public child and adolescent psychiatric services in Stockholm and on Gotland.
Other Names:
  • Strattera
  • N06BA09
Methylphenidate medication
Identified responders and non-responders in children/adolescents starting medication with methylphenidate in public child and adolescent psychiatric services in Stockholm and on Gotland.
Other Names:
  • Concerta
  • Ritalin
  • Medikinet
  • N06BA04
  • Equasym
Guanfacine medication
Identified responders and non-responders in children/adolescents starting medication with guanfacine in public child and adolescent psychiatric services in Stockholm and on Gotland.
Other Names:
  • Intuniv
  • C02AC02

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
change in SNAP-IV Teacher and Parent rating scale (Swanson, Nolan and Pelham ADHD Rating Scale)
Time Frame: at 3 months follow-up
ADHD symptoms
at 3 months follow-up
change in P-SEC (Pediatric Side Effects Checklist)
Time Frame: at 3 months follow-up
Side-effect measure
at 3 months follow-up

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
change in C-GAS (Children´s global assessment scale)
Time Frame: at 12 months follow-up
global functioning measure
at 12 months follow-up
change in CGI-S (Clinical Global Impression- of Severity)
Time Frame: at 12 months follow-up
disease severity
at 12 months follow-up
change in SNAP-IV Teacher and Parent rating scale
Time Frame: at 1 month follow-up
ADHD symptoms
at 1 month follow-up
change in SNAP-IV Teacher and Parent rating scale
Time Frame: at 6 months follow-up
ADHD symptoms
at 6 months follow-up
change in SNAP-IV Teacher and Parent rating scale
Time Frame: at 12 months follow-up
ADHD symptoms
at 12 months follow-up
change in P-SEC (Pediatric Side Effects Checklist)
Time Frame: at 1 month follow-up
side effect measure
at 1 month follow-up
change in P-SEC (Pediatric Side Effects Checklist)
Time Frame: at 6 months follow-up
side effect measure
at 6 months follow-up
change in P-SEC (Pediatric Side Effects Checklist)
Time Frame: at 12 months follow-up
side effect measure
at 12 months follow-up
change in Spence Children's Anxiety Scale (SCAS)
Time Frame: at 1 month follow-up
symptoms of anxiety
at 1 month follow-up
change in Spence Children's Anxiety Scale (SCAS)
Time Frame: at 3 months follow-up
symptoms of anxiety
at 3 months follow-up
change in Spence Children's Anxiety Scale (SCAS)
Time Frame: at 6 months follow-up
symptoms of anxiety
at 6 months follow-up
change in Spence Children's Anxiety Scale (SCAS)
Time Frame: at 12 months follow-up
symptoms of anxiety
at 12 months follow-up
change in heart rate
Time Frame: at 1 month follow-up
at 1 month follow-up
change in heart rate
Time Frame: at 3 months follow-up
at 3 months follow-up
change in heart rate
Time Frame: at 6 months follow-up
at 6 months follow-up
change in heart rate
Time Frame: at 12 months follow-up
at 12 months follow-up
change in systolic blood pressure
Time Frame: at 1 month follow-up
at 1 month follow-up
change in systolic blood pressure
Time Frame: at 3 months follow-up
at 3 months follow-up
change in systolic blood pressure
Time Frame: at 6 months follow-up
at 6 months follow-up
change in systolic blood pressure
Time Frame: at 12 months follow-up
at 12 months follow-up
change in diastolic blood pressure
Time Frame: at 1 month follow-up
at 1 month follow-up
change in diastolic blood pressure
Time Frame: at 3 months follow-up
at 3 months follow-up
change in diastolic blood pressure
Time Frame: at 6 months follow-up
at 6 months follow-up
change in diastolic blood pressure
Time Frame: at 12 months follow-up
at 12 months follow-up
change in weight z-score
Time Frame: at 1 month follow-up
at 1 month follow-up
change in weight z-score
Time Frame: at 3 months follow-up
at 3 months follow-up
change in weight z-score
Time Frame: at 6 months follow-up
at 6 months follow-up
change in weight z-score
Time Frame: at 12 months follow-up
at 12 months follow-up
change in height z-score
Time Frame: at 6 months follow-up
at 6 months follow-up
change in height z-score
Time Frame: at 12 months follow-up
at 12 months follow-up
change in Autism Spectrum Screening Questionnaire (ASSQ) score
Time Frame: at 3 months follow-up
symptoms of autism
at 3 months follow-up
change in Autism Spectrum Screening Questionnaire (ASSQ) score
Time Frame: at 1 months follow-up
symptoms of autism
at 1 months follow-up
change in Autism Spectrum Screening Questionnaire (ASSQ) score
Time Frame: at 6 months follow-up
symptoms of autism
at 6 months follow-up
change in Autism Spectrum Screening Questionnaire (ASSQ) score
Time Frame: at 12 months follow-up
symptoms of autism
at 12 months follow-up

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
change in self-harm frequency
Time Frame: at 12 months follow-up
change in self-harm frequency behavior as noted in the quality register BUSA
at 12 months follow-up
change in suicide attempt frequency
Time Frame: at 12 months follow-up
change in suicide attempt frequency as reported in quality register BUSA
at 12 months follow-up

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2015

Primary Completion (Actual)

July 1, 2021

Study Completion (Actual)

June 1, 2022

Study Registration Dates

First Submitted

April 30, 2014

First Submitted That Met QC Criteria

May 8, 2014

First Posted (Estimated)

May 12, 2014

Study Record Updates

Last Update Posted (Actual)

October 17, 2023

Last Update Submitted That Met QC Criteria

October 16, 2023

Last Verified

October 1, 2023

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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