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Published on: June 20, 2020
Clinical Characteristics of Developmentally Delayed Children based on Interdisciplinary Evaluation
S W Kim1, H R Jeon1, H J Jung2
1Department of Physical Medicine and Rehabilitation, National Health Insurance Service Ilsan Hospital, Goyang, Korea.
This study identified key clinical features for diagnosing neurodevelopmental disorders in children. Early identification of global developmental delay (GDD) and autism spectrum disorder (ASD) is crucial for timely intervention.
Area of Science:
- Pediatric Neurology
- Developmental Pediatrics
- Clinical Psychology
Background:
- Neurodevelopmental disorders (NDDs) present complex diagnostic challenges in children.
- Early identification and accurate diagnosis are vital for effective intervention and improved outcomes.
- Understanding clinical characteristics aids in distinguishing between various NDDs.
Purpose of the Study:
- To investigate the clinical features of children with suspected neurodevelopmental disorders.
- To identify diagnostic clues for clinical assessment of NDDs.
- To analyze risk factors associated with specific NDDs.
Main Methods:
- Retrospective review of medical records from an interdisciplinary clinic for developmental problems.
- Inclusion of 1,877 children evaluated between May 2001 and December 2014.
- Classification into major diagnostic groups: global developmental delay (GDD), autism spectrum disorder (ASD), developmental language disorder (DLD), and motor delay (MD).
Main Results:
- Global developmental delay (GDD) was the most common diagnosis (43.9%).
- Boys were significantly more prevalent than girls across all diagnostic groups.
- Specific risk factors were associated with different diagnoses: GDD probability increased with later walking age and neonatal history; ASD probability increased with male gender and decreased with maternal history.
Conclusions:
- The study highlights distinct clinical features aiding in the diagnosis of various neurodevelopmental disorders.
- Findings can assist clinicians in more effectively identifying children with potential NDDs during assessment.
- Understanding these characteristics supports earlier and more accurate diagnostic flagging.
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