Assessment of autonomic symptom scales in patients with neurodevelopmental diagnoses using electronic health record data.

autism spectrum disorder autonomic function chart review developmental brain dysfunction individual differences

Journal

Research in autism spectrum disorders
ISSN: 1750-9467
Titre abrégé: Res Autism Spectr Disord
Pays: Netherlands
ID NLM: 101300021

Informations de publication

Date de publication:
Oct 2023
Historique:
pmc-release: 01 10 2024
medline: 20 11 2023
pubmed: 20 11 2023
entrez: 20 11 2023
Statut: ppublish

Résumé

Sleep disturbances, gastrointestinal problems, and atypical heart rate are commonly observed in patients with autism spectrum disorder (ASD) and may relate to underlying function of the autonomic nervous system (ANS). The overall objective of the current study was to quantitatively characterize features of ANS function using symptom scales and available electronic health record (EHR) data in a clinically and genetically characterized pediatric cohort. We assessed features of ANS function via chart review of patient records adapted from items drawn from a clinical research questionnaire of autonomic symptoms. This procedure coded for the presence and/or absence of targeted symptoms and was completed in 3 groups of patients, including patients with a clinical neurodevelopmental diagnosis and identified genetic etiology (NPD, n=244), those with an ASD diagnosis with no known genetic cause (ASD, n=159), and age and sex matched controls (MC, n=213). Symptoms were assessed across four main categories: (1) Mood, Behavior, and Emotion; (2) Secretomotor, Sensory Integration; (3) Urinary, Gastrointestinal, and Digestion; and (4) Circulation, Thermoregulation, Circadian function, and Sleep/Wake cycles. Chart review scores indicate an increased rate of autonomic symptoms across all four sections in our NPD group as compared to scores with ASD and/or MC. Additionally, we note several significant relationships between individual differences in autonomic symptoms and quantitative ASD traits. These results highlight EHR review as a potentially useful method for quantifying variance in symptoms adapted from a questionnaire or survey. Further, using this method indicates that autonomic features are more prevalent in children with genetic disorders conferring risk for ASD and other neurodevelopmental diagnoses.

Sections du résumé

Background UNASSIGNED
Sleep disturbances, gastrointestinal problems, and atypical heart rate are commonly observed in patients with autism spectrum disorder (ASD) and may relate to underlying function of the autonomic nervous system (ANS). The overall objective of the current study was to quantitatively characterize features of ANS function using symptom scales and available electronic health record (EHR) data in a clinically and genetically characterized pediatric cohort.
Methods UNASSIGNED
We assessed features of ANS function via chart review of patient records adapted from items drawn from a clinical research questionnaire of autonomic symptoms. This procedure coded for the presence and/or absence of targeted symptoms and was completed in 3 groups of patients, including patients with a clinical neurodevelopmental diagnosis and identified genetic etiology (NPD, n=244), those with an ASD diagnosis with no known genetic cause (ASD, n=159), and age and sex matched controls (MC, n=213). Symptoms were assessed across four main categories: (1) Mood, Behavior, and Emotion; (2) Secretomotor, Sensory Integration; (3) Urinary, Gastrointestinal, and Digestion; and (4) Circulation, Thermoregulation, Circadian function, and Sleep/Wake cycles.
Results UNASSIGNED
Chart review scores indicate an increased rate of autonomic symptoms across all four sections in our NPD group as compared to scores with ASD and/or MC. Additionally, we note several significant relationships between individual differences in autonomic symptoms and quantitative ASD traits.
Conclusion UNASSIGNED
These results highlight EHR review as a potentially useful method for quantifying variance in symptoms adapted from a questionnaire or survey. Further, using this method indicates that autonomic features are more prevalent in children with genetic disorders conferring risk for ASD and other neurodevelopmental diagnoses.

Identifiants

pubmed: 37982012
doi: 10.1016/j.rasd.2023.102234
pmc: PMC10653282
mid: NIHMS1933939
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH107431
Pays : United States

Déclaration de conflit d'intérêts

Competing Interests: The authors declare that they have no competing interests.

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Auteurs

A S DiCriscio (AS)

Geisinger Health System, Autism and Developmental Medicine Institute (ADMI), Lewisburg, PA, United States.

D Beiler (D)

Geisinger Health System, Autism and Developmental Medicine Institute (ADMI), Lewisburg, PA, United States.

J Smith (J)

Geisinger Health System, Autism and Developmental Medicine Institute (ADMI), Lewisburg, PA, United States.
Geisinger Health System, Behavioral Health, Danville, PA, United States.

P Asdell (P)

Geisinger Health System, Autism and Developmental Medicine Institute (ADMI), Lewisburg, PA, United States.
Summa Health, Ohio, United States.

S Dickey (S)

Geisinger Health System, Autism and Developmental Medicine Institute (ADMI), Lewisburg, PA, United States.

M DiStefano (M)

Geisinger Health System, Autism and Developmental Medicine Institute (ADMI), Lewisburg, PA, United States.
Geisinger Health System, Precision Health Program, Danville, PA, United States.
Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States.

V Troiani (V)

Geisinger Health System, Autism and Developmental Medicine Institute (ADMI), Lewisburg, PA, United States.
Department of Imaging Science and Innovation, Center for Health Research, Danville, PA, United States.
Geisinger Neuroscience Institute, Danville, PA, United States.
Department of Basic Sciences, Geisinger Commonwealth School of Medicine, Scranton, PA, United States.

Classifications MeSH