The Early Life Clinical Feature and Risk Factors Analysis in Children With Neurodevelopmental Disorders

June 22, 2022 updated by: Chang Gung Memorial Hospital

The Early Life Clinical Feature and Risk Factors Analysis Using Artificial Intelligence in Children With Neurodevelopmental Disorders: Premature Infants Cohort Study

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".

Study Overview

Status

Recruiting

Conditions

Detailed Description

In recent years the issue of low birth rates become more and more serious in many countries. In 2017, the average birth rate is 1.17 for every child-bearing woman in Taiwan, ranking the last among Asian countries. As the declining birth rates, the population of Taiwan will decrease year by year while showing an aging society. It will be an important crisis in Taiwan's future development. Although the declining birth rates in Taiwan year by year, the incidence of premature has not decrease. Moreover, the morbidity and long-term prognosis of preterm infants, will be a significant burden of children, families, and national economy. Therefore, it should be a serious issue of government. According to the above reasons, to keep the "safe pregnancy and normal development of the fetus," "smooth delivery" and even "postpartum newborn healthy growth" and so on, will be very important issues in the future.

Due to advances in medical technology and the improvement of newborn care, makes the very low birth weight preterm infant survival rate greatly improved. However, the improvement of survival rate did not improve the incidence of postnatal morbidity of the preterm infants, and the risk of many neurodevelopmental disorders greatly increased. Many studies have confirmed the long-term prognosis of preterm infants with low birth weight, whom with serious abnormalities in neurocognitive development, language development, motor development and so on. Attention deficit hyperactivity disorder (ADHD) and Autism spectrum disorder (ASD) are common neurodevelopmental disorders. These deficiencies such as inattention, decreased learning ability, behavioral problems and social skills disturbance ....make the children have poor outcome. It is affect children academic achievement and adaptation so great in the future. Therefore, the government, experts and scholars should concern about the issue of the premature and these pediatric neurological development delay and poor prognosis.

Meanwhile, this study will design a 5-year retrospective and prospective case control study, will include 650 participant. And participants will be divided into four groups:(a) Premature children with neurological developmental disorder (such as ADHD): n = 200; (b) Premature children with neurological developmental disorder (such as ASD): n = 50; (c) Premature infants with no neurodevelopmental disorders: n = 200; (d) Age and gender match in non-preterm children: n = 200.

By this research to achieve the 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".

Study Type

Observational

Enrollment (Anticipated)

650

Contacts and Locations

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

Study Contact

Study Locations

  • Taiwan
      • Taoyuan, Taiwan, 333423
        • Recruiting
        • Chang Gung Memorial Hospital
        • Contact:

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

1 year to 15 years (CHILD)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

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

Description

Inclusion Criteria:

  1. The investigators will collect newborns who born in Chang Gung after 2010 .
  2. The investigators will collect 450 premature infants under 37 weeks and 200 non-preterm infants.
  3. 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.
  4. Parents are willing to sign the subject's consent form.

Exclusion Criteria:

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

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

Cohorts and Interventions

Group / Cohort
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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Polysomnography (PSG)
Time Frame: Once a year until the study is completed(up to 3 years)
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)
Time Frame: Once a year until the study is completed(up to 3 years)

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 Outcome Measures

Outcome Measure
Measure Description
Time Frame
OSA-18 questionnaire (OSA-18)
Time Frame: Twice a year until the study is completed(up to 3 years)
The OSA-18 is a caregiver-administered quality of life survey that contains 18 items divided into five subscales: sleep disturbance, physical symptoms, emotional distress, daytime function, and caregiver concerns. Each item is scored on a seven-point ordinal scale.The OSA-18 total score is the sum of the 18 items, and therefore ranges from 18 (no impact on quality of life) to 126 (major negative impact).
Twice a year until the study is completed(up to 3 years)
Children's Sleep Habits Questionnaire (CSHQ)
Time Frame: Twice a year until the study is completed(up to 3 years)
The CSHQ is a parent-rated questionnaire comprised of 45 items; 33 scored questions, and 7 additional items intended to provide other relevant information pertaining to sleep behavior, each scored question is rated on a 3-point scale .Ratings are combined to form eight subscales: Bedtime Resistance, Sleep Onset Delay, Sleep Duration, Sleep Anxiety, Night Wakings, Parasomnias, Sleep Disordered Breathing, and Daytime Sleepiness.With higher scores indicating more sleep problems .
Twice a year until the study is completed(up to 3 years)
Disruptive Behaviour Disorder Rating Scale (DBDRS)
Time Frame: Twice a year until the study is completed(up to 3 years)
The DBD parent/teacher rating scale is a screening tool designed to aid in the diagnostic process for a number of child psychopathologies, particularly externalising disorders.The DBD rating scale consists of 42 items related to symptoms of Conduct disorder (16 items), ODD (8 items), ADHD-Inattention (9 items), ADHD- hyperactivity/ Impulsivity (9 items).Each item is rated on a four-point scale ranging from not at all (0) to very much (3).The higher score the child gets, the more behavioral problems he/she has.
Twice a year until the study is completed(up to 3 years)
Conners' Continuous Performance Test (CPT)
Time Frame: Twice a year until the study is completed(up to 3 years)
The Conners Continuous Performance Test is a computer administered test that is designed to assess problems with attention.Many statistics are computed including omission errors , commission errors, hit reaction time, hit reaction time standard error, detectability, response style, perseverations , hit reaction time by block, standard error by block, reaction time by ISI , and standard error by ISI. These statistics are converted to T-scores and can be interpreted in terms of various aspects of attention including inattention, impulsivity, and vigilance.Higher rates of correct detections indicate better attentional capacity.
Twice a year until the study is completed(up to 3 years)
Wisconsin Card Sorting Test (WCST)
Time Frame: Twice a year until the study is completed(up to 3 years)
The Wisconsin Card Sorting Test (WCST) is a neuropsychological test that is frequently used to measure such higher-level cognitive processes as attention, perseverance,working memory, abstract thinking and set shifting.
Twice a year until the study is completed(up to 3 years)
Actigraphy
Time Frame: baseline
Understand the patient's activity and sleep status.
baseline
Allergen Test
Time Frame: baseline
The investigaters plan to draw about 5-10 milliliters of blood for individual subjects to analyze total immunoglobulin E and specific immunoglobulin E for 40 common allergens in the environment.
baseline
Di(2-ethylhexyl)phthalate test (DEHP)
Time Frame: baseline
This project is expected to use the remaining serum and urine of allergens in individual cases, and use the QTRAP® 5500 mass spectrometer system (AB SCIEX) to analyze the concentrations of common plasticizer metabolites.
baseline
Child Behavior Checklist (CBCL)
Time Frame: Twice a year until the study is completed(up to 3 years)
The Child Behavior Checklist (CBCL) is a widely used questionnaire to assess behavioral and emotional problems.The CBCL's questions are associated with problems on a syndrome scale in eight different categories: anxious/depressed, withdrawn/depressed, somatic complaints, social problems, thought problems, attention problems, rule-breaking behavior, and aggressive behavior.According to the normative data of the CBCL, a t-score ≤ 59 indicates non-clinical symptoms, a t-score between 60 and 64 indicates that the child is at risk for problem behaviors, and a t-score ≥ 65 indicates clinical symptoms.
Twice a year until the study is completed(up to 3 years)

Collaborators and Investigators

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

Sponsor

Chang Gung Memorial Hospital

Investigators

  • Study Director: Yu-Shu Huang, PhD, Principal Investigator

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.

General Publications

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)

April 29, 2019

Primary Completion (ANTICIPATED)

October 16, 2022

Study Completion (ANTICIPATED)

January 1, 2024

Study Registration Dates

First Submitted

May 30, 2022

First Submitted That Met QC Criteria

June 22, 2022

First Posted (ACTUAL)

June 24, 2022

Study Record Updates

Last Update Posted (ACTUAL)

June 24, 2022

Last Update Submitted That Met QC Criteria

June 22, 2022

Last Verified

April 1, 2022

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 201801537A3

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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