NCT05430256

Brief Summary

The study will be a 5-year retrospective and prospective case control study, included 650 participants, and participants will be divided into four groups.By this research the investigators will achieve several aims:(1) Through the cross-sectional analysis of this study, the investigators can understand the current prevalence of developmental disorders in Taiwan ,especially ADHD and ASD, and the ratio of male to female in school-age children. (2) Analysis of risk factors in preterm infants during pregnancy and infant, and construct the diagnostic predictive models. (3) By the cohort study of premature infants, to analyze early risk factors of premature children with neurological developmental disorders (such as ADHD), and develop the diagnostic predictive models and early interventional tools. (4) Using artificial intelligence and machine learning analysis to analyze the characteristics of preterm and development of diagnostic prediction model of premature infant or premature children combined ADHD. (5) The application of noninvasive physiological signal capture real-time analysis system in screening and evaluation of "premature infant and neurodevelopmental disorders".

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
650

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Apr 2019

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

April 29, 2019

Completed
3.1 years until next milestone

First Submitted

Initial submission to the registry

May 30, 2022

Completed
25 days until next milestone

First Posted

Study publicly available on registry

June 24, 2022

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 16, 2022

Completed
1.2 years until next milestone

Study Completion

Last participant's last visit for all outcomes

January 1, 2024

Completed
Last Updated

June 24, 2022

Status Verified

April 1, 2022

Enrollment Period

3.5 years

First QC Date

May 30, 2022

Last Update Submit

June 22, 2022

Conditions

Keywords

Attention Deficit Hyperactivity DisorderAutism Spectrum DisorderArtificial intelligence

Outcome Measures

Primary Outcomes (2)

  • Polysomnography (PSG)

    Change in sleep status based on PSG during the study.

    Once a year until the study is completed(up to 3 years)

  • Wechsler Intlligence Scale for Children (WISC)

    Change in speech comprehension, perceptual reasoning, working memory, and processing speed abilities based on WISC during the study. \* This assessment will provide a composite score that represents a child's overall intellectual ability (FSIQ),with higher scores indicating better intellectual ability .

    Once a year until the study is completed(up to 3 years)

Secondary Outcomes (9)

  • OSA-18 questionnaire (OSA-18)

    Twice a year until the study is completed(up to 3 years)

  • Children's Sleep Habits Questionnaire (CSHQ)

    Twice a year until the study is completed(up to 3 years)

  • Disruptive Behaviour Disorder Rating Scale (DBDRS)

    Twice a year until the study is completed(up to 3 years)

  • Conners' Continuous Performance Test (CPT)

    Twice a year until the study is completed(up to 3 years)

  • Wisconsin Card Sorting Test (WCST)

    Twice a year until the study is completed(up to 3 years)

  • +4 more secondary outcomes

Study Arms (4)

Premature children with neurological developmental disorder(such as ADHD)

Premature children with neurological developmental disorder (such as ADHD): n = 200

Premature children with neurological developmental disorder(such as ASD)

Premature children with neurological developmental disorder (such as ASD): n = 50

Premature infants with no neurodevelopmental disorders

Premature infants with no neurodevelopmental disorders: n = 200

Age and gender match in non-preterm children

Age and gender match in non-preterm children: n = 200

Eligibility Criteria

Age1 Year - 15 Years
Sexall
Age GroupsChild (0-17)
Sampling MethodProbability Sample
Study Population

450 premature infants under 37 weeks and 200 non-preterm infants.

You may qualify if:

  • The investigators will collect newborns who born in Chang Gung after 2010 .
  • The investigators will collect 450 premature infants under 37 weeks and 200 non-preterm infants.
  • Participated in the former Ministry of Science and Technology research project ''NSC 101-2314-B-182A-072-MY3'' and project ''106-2314-B-182A-040-MY3'' will be invited to join this study.
  • Parents are willing to sign the subject's consent form.

You may not qualify if:

  • If children have serious neurological diseases, serious heart problems or serious mental retardation, they will not be able to participate in this study.
  • If parents cannot sign the consent form of the subjects.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Chang Gung Memorial Hospital

Taoyuan District, 333423, Taiwan

RECRUITING

Related Publications (19)

  • Accornero VH, Amado AJ, Morrow CE, Xue L, Anthony JC, Bandstra ES. Impact of prenatal cocaine exposure on attention and response inhibition as assessed by continuous performance tests. J Dev Behav Pediatr. 2007 Jun;28(3):195-205. doi: 10.1097/01.DBP.0000268560.72580.f9.

  • Adde L, Helbostad JL, Jensenius AR, Taraldsen G, Grunewaldt KH, Stoen R. Early prediction of cerebral palsy by computer-based video analysis of general movements: a feasibility study. Dev Med Child Neurol. 2010 Aug;52(8):773-8. doi: 10.1111/j.1469-8749.2010.03629.x. Epub 2010 Feb 24.

  • Batton DG, DeWitte DB, Pryce CJ. One hundred consecutive infants born at 23 weeks and resuscitated. Am J Perinatol. 2011 Apr;28(4):299-304. doi: 10.1055/s-0030-1268714. Epub 2010 Nov 29.

  • Biederman J, Monuteaux MC, Mick E, Spencer T, Wilens TE, Silva JM, Snyder LE, Faraone SV. Young adult outcome of attention deficit hyperactivity disorder: a controlled 10-year follow-up study. Psychol Med. 2006 Feb;36(2):167-79. doi: 10.1017/S0033291705006410.

  • Brisson J, Martel K, Serres J, Sirois S, Adrien JL. Acoustic analysis of oral productions of infants later diagnosed with autism and their mother. Infant Ment Health J. 2014 May-Jun;35(3):285-95. doi: 10.1002/imhj.21442. Epub 2014 Mar 31.

  • Bohm HV, Stewart MG, Healy AM. On the Autistic Spectrum Disorder concordance rates of twins and non-twin siblings. Med Hypotheses. 2013 Nov;81(5):789-91. doi: 10.1016/j.mehy.2013.08.019. Epub 2013 Aug 29.

  • Canela C, Buadze A, Dube A, Eich D, Liebrenz M. Skills and compensation strategies in adult ADHD - A qualitative study. PLoS One. 2017 Sep 27;12(9):e0184964. doi: 10.1371/journal.pone.0184964. eCollection 2017.

  • Chu SM, Tsai MH, Hwang FM, Hsu JF, Huang HR, Huang YS. The relationship between attention deficit hyperactivity disorder and premature infants in Taiwanese: a case control study. BMC Psychiatry. 2012 Jul 23;12:85. doi: 10.1186/1471-244X-12-85.

  • Colvert E, Tick B, McEwen F, Stewart C, Curran SR, Woodhouse E, Gillan N, Hallett V, Lietz S, Garnett T, Ronald A, Plomin R, Rijsdijk F, Happe F, Bolton P. Heritability of Autism Spectrum Disorder in a UK Population-Based Twin Sample. JAMA Psychiatry. 2015 May;72(5):415-23. doi: 10.1001/jamapsychiatry.2014.3028.

  • DiMaio S, Grizenko N, Joober R. Dopamine genes and attention-deficit hyperactivity disorder: a review. J Psychiatry Neurosci. 2003 Jan;28(1):27-38.

  • DeVilbiss EA, Gardner RM, Newschaffer CJ, Lee BK. Maternal folate status as a risk factor for autism spectrum disorders: a review of existing evidence. Br J Nutr. 2015 Sep 14;114(5):663-72. doi: 10.1017/S0007114515002470. Epub 2015 Aug 5.

  • Faustman EM, Silbernagel SM, Fenske RA, Burbacher TM, Ponce RA. Mechanisms underlying Children's susceptibility to environmental toxicants. Environ Health Perspect. 2000 Mar;108 Suppl 1(Suppl 1):13-21. doi: 10.1289/ehp.00108s113.

  • Fischl B, Dale AM. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci U S A. 2000 Sep 26;97(20):11050-5. doi: 10.1073/pnas.200033797.

  • Ghiassian S, Greiner R, Jin P, Brown MR. Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism. PLoS One. 2016 Dec 28;11(12):e0166934. doi: 10.1371/journal.pone.0166934. eCollection 2016.

  • Hallmayer J, Cleveland S, Torres A, Phillips J, Cohen B, Torigoe T, Miller J, Fedele A, Collins J, Smith K, Lotspeich L, Croen LA, Ozonoff S, Lajonchere C, Grether JK, Risch N. Genetic heritability and shared environmental factors among twin pairs with autism. Arch Gen Psychiatry. 2011 Nov;68(11):1095-102. doi: 10.1001/archgenpsychiatry.2011.76. Epub 2011 Jul 4.

  • Iannaccone R, Hauser TU, Ball J, Brandeis D, Walitza S, Brem S. Classifying adolescent attention-deficit/hyperactivity disorder (ADHD) based on functional and structural imaging. Eur Child Adolesc Psychiatry. 2015 Oct;24(10):1279-89. doi: 10.1007/s00787-015-0678-4. Epub 2015 Jan 23.

  • Kato I, Groswasser J, Franco P, Scaillet S, Kelmanson I, Togari H, Kahn A. Developmental characteristics of apnea in infants who succumb to sudden infant death syndrome. Am J Respir Crit Care Med. 2001 Oct 15;164(8 Pt 1):1464-9. doi: 10.1164/ajrccm.164.8.2009001.

  • Mazaheri A, Fassbender C, Coffey-Corina S, Hartanto TA, Schweitzer JB, Mangun GR. Differential oscillatory electroencephalogram between attention-deficit/hyperactivity disorder subtypes and typically developing adolescents. Biol Psychiatry. 2014 Sep 1;76(5):422-9. doi: 10.1016/j.biopsych.2013.08.023. Epub 2013 Oct 8.

  • Larroque B, Ancel PY, Marret S, Marchand L, Andre M, Arnaud C, Pierrat V, Roze JC, Messer J, Thiriez G, Burguet A, Picaud JC, Breart G, Kaminski M; EPIPAGE Study group. Neurodevelopmental disabilities and special care of 5-year-old children born before 33 weeks of gestation (the EPIPAGE study): a longitudinal cohort study. Lancet. 2008 Mar 8;371(9615):813-20. doi: 10.1016/S0140-6736(08)60380-3.

MeSH Terms

Conditions

Premature BirthAttention Deficit Disorder with HyperactivityAutism Spectrum Disorder

Condition Hierarchy (Ancestors)

Obstetric Labor, PrematureObstetric Labor ComplicationsPregnancy ComplicationsFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesAttention Deficit and Disruptive Behavior DisordersNeurodevelopmental DisordersMental DisordersChild Development Disorders, Pervasive

Study Officials

  • Yu-Shu Huang, PhD

    Principal Investigator

    STUDY DIRECTOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

May 30, 2022

First Posted

June 24, 2022

Study Start

April 29, 2019

Primary Completion

October 16, 2022

Study Completion

January 1, 2024

Last Updated

June 24, 2022

Record last verified: 2022-04

Data Sharing

IPD Sharing
Will not share

Locations