Fetal alcohol spectrum disorder: neurodevelopmentally and behaviorally indistinguishable from other neurodevelopmental disorders.


Journal

BMC psychiatry
ISSN: 1471-244X
Titre abrégé: BMC Psychiatry
Pays: England
ID NLM: 100968559

Informations de publication

Date de publication:
28 10 2019
Historique:
received: 29 05 2019
accepted: 12 09 2019
entrez: 30 10 2019
pubmed: 30 10 2019
medline: 12 5 2020
Statut: epublish

Résumé

The lack of universally accepted diagnostic criteria and the high rate of psychiatric comorbidity make it difficult to diagnose Fetal Alcohol Spectrum Disorder (FASD). In an effort to improve the diagnosis of FASD, the current study aimed to identify a neurodevelopmental profile that is both sensitive and specific to FASD. A secondary analysis was conducted on data obtained from the Canadian component of the World Health Organization International Study on the Prevalence of FASD. Data on neurodevelopmental status and behavior were derived from a battery of standardized tests and the Child Behavior Checklist for 21 children with FASD, 28 children with other neurodevelopmental disorders, and 37 typically developing control children, aged 7 to 11 years. Two latent profile analyses were performed to derive discriminative profiles: i) children with FASD compared with typically developing control children, and ii) children with FASD compared with typically developing control children and children with other neurodevelopmental disorders. The classification function of the resulting profiles was evaluated using the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Confidence intervals (CIs) were approximated using 10,000 bootstrapped samples. The neurodevelopmental profile of FASD tested consisted of impairments in perceptual reasoning, verbal comprehension, visual-motor speed and motor coordination, processing speed (nonverbal information), attention and executive function, visuospatial processing, and language, in combination with rule-breaking behavior and attention problems. When children with FASD were compared with typically developing control children, a 2-class model fit the data best and resulted in a sensitivity of 95.2% (95% CI: 84.2-100.0%), specificity of 89.2% (95% CI: 78.4-97.5%), PPV of 83.3% (95% CI: 66.7-96.2%), and NPV of 97.1% (95% CI: 90.3-100.0%). When children with FASD were compared with typically developing control children and children with other neurodevelopmental disorders, the neurodevelopmental profile correctly identified only 56.9% (95% CI: 45.1-69.2%) of typically developing children and children with other neurodevelopmental disorders as not having FASD, and thus the profile was found not to be specific to children with FASD. The findings question the uniqueness of children with FASD with respect to their neurodevelopmental impairments and behavioral manifestations.

Sections du résumé

BACKGROUND
The lack of universally accepted diagnostic criteria and the high rate of psychiatric comorbidity make it difficult to diagnose Fetal Alcohol Spectrum Disorder (FASD). In an effort to improve the diagnosis of FASD, the current study aimed to identify a neurodevelopmental profile that is both sensitive and specific to FASD.
METHODS
A secondary analysis was conducted on data obtained from the Canadian component of the World Health Organization International Study on the Prevalence of FASD. Data on neurodevelopmental status and behavior were derived from a battery of standardized tests and the Child Behavior Checklist for 21 children with FASD, 28 children with other neurodevelopmental disorders, and 37 typically developing control children, aged 7 to 11 years. Two latent profile analyses were performed to derive discriminative profiles: i) children with FASD compared with typically developing control children, and ii) children with FASD compared with typically developing control children and children with other neurodevelopmental disorders. The classification function of the resulting profiles was evaluated using the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Confidence intervals (CIs) were approximated using 10,000 bootstrapped samples.
RESULTS
The neurodevelopmental profile of FASD tested consisted of impairments in perceptual reasoning, verbal comprehension, visual-motor speed and motor coordination, processing speed (nonverbal information), attention and executive function, visuospatial processing, and language, in combination with rule-breaking behavior and attention problems. When children with FASD were compared with typically developing control children, a 2-class model fit the data best and resulted in a sensitivity of 95.2% (95% CI: 84.2-100.0%), specificity of 89.2% (95% CI: 78.4-97.5%), PPV of 83.3% (95% CI: 66.7-96.2%), and NPV of 97.1% (95% CI: 90.3-100.0%). When children with FASD were compared with typically developing control children and children with other neurodevelopmental disorders, the neurodevelopmental profile correctly identified only 56.9% (95% CI: 45.1-69.2%) of typically developing children and children with other neurodevelopmental disorders as not having FASD, and thus the profile was found not to be specific to children with FASD.
CONCLUSION
The findings question the uniqueness of children with FASD with respect to their neurodevelopmental impairments and behavioral manifestations.

Identifiants

pubmed: 31660907
doi: 10.1186/s12888-019-2289-y
pii: 10.1186/s12888-019-2289-y
pmc: PMC6816158
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

322

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Auteurs

Shannon Lange (S)

Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Russell Street, Toronto, ON, M5S 2S1, Canada. shannon.lange@camh.ca.
Institute of Medical Science, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada. shannon.lange@camh.ca.

Kevin Shield (K)

Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Russell Street, Toronto, ON, M5S 2S1, Canada.
Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, ON, M5T 3M7, Canada.

Jürgen Rehm (J)

Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Russell Street, Toronto, ON, M5S 2S1, Canada.
Institute of Medical Science, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.
Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, ON, M5T 3M7, Canada.
Institute of Clinical Psychology and Psychotherapy & Center for Clinical Epidemiology and Longitudinal Studies, Technische Universität Dresden, Chemnitzer Str. 46, 01187, Dresden, Germany.
Department of Psychiatry, University of Toronto, 250 College Street, Toronto, ON, M5T 1R8, Canada.

Evdokia Anagnostou (E)

Institute of Medical Science, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.
Holland Bloorview Kids Rehabilitation Hospital, Bloorview Research Institute, 150 Kilgour Rd., East York, ON, M4G 1R8, Canada.
Department of Pediatrics, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.

Svetlana Popova (S)

Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Russell Street, Toronto, ON, M5S 2S1, Canada.
Institute of Medical Science, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.
Factor-Inwentash Faculty of Social Work, University of Toronto, 246 Bloor Street, West, Toronto, ON, M5S 1V4, Canada.
Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, ON, M5T 3M7, Canada.

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