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Background: 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: 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: 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: 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.

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

Titel:	Assessment of autonomic symptom scales in patients with neurodevelopmental diagnoses using electronic health record data.
Autor/in / Beteiligte Person:	DiCriscio, AS ; Beiler, D ; Smith, J ; Asdell, P ; Dickey, S ; DiStefano, M ; Troiani, V
Zeitschrift:	Research in autism spectrum disorders, Jg. 108 (2023-10-01)
Veröffentlichung:	Amsterdam : Elsevier, 2023
Medientyp:	academicJournal
ISSN:	1750-9467 (print)
DOI:	10.1016/j.rasd.2023.102234
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Assessment of autonomic symptom scales in patients with neurodevelopmental diagnoses using electronic health record data.