Abstract
Objective
The diagnosis of attention deficit/hyperactivity disorder (AD/HD) in Japan is mainly
based on information obtained from caregivers. There is therefore a need to establish
an objectivity index that can be easily used in clinical practice. The purpose of
the study was to create a predictive model for the diagnosis of AD/HD using the MOGRAZ,
a visual continuous performance test developed in Japan.
Methods
We collected data from an AD/HD group and a non-AD/HD group. The AD/HD group included
75 children with predominantly inattentive type AD/HD and 48 with combined type AD/HD
who were aged 6 to 12 years and diagnosed at our department. The non-AD/HD group included
153 Japanese children aged 6 to 11 years enrolled in regular classes at a public elementary
school. In both groups, multiple logistic regression analysis was performed using
the results of MOGRAZ, age, and sex as parameters, and algorithms for a predictive
diagnostic model of AD/HD were created.
Results
The area under the receiver operating characteristic curve (ROC-AUC) between the predominantly
inattentive type AD/HD subgroup and non-AD/HD group was 0.884 (95% confidence interval:
0.837–0.932), and the ROC-AUC between the combined type AD/HD subgroup and non-AD/HD
group was 0.914 (95% CI: 0.869–0.959).
Conclusion
The prediction model using the MOGRAZ score allowed us to create an objectivity index
to determine the diagnosis of AD/HD that can be easily used in clinical practice.
We plan additional verification of this prediction model with additional participants.
Keywords
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Article Info
Publication History
Published online: July 22, 2022
Accepted:
July 8,
2022
Received in revised form:
July 8,
2022
Received:
July 2,
2021
Identification
Copyright
© 2022 The Japanese Society of Child Neurology Published by Elsevier B.V. All rights reserved.
