De-identified Clinical Dataset of Pediatric PANS and PANDAS: Comorbidities and Symptom Severity (2015–2025)

This study examined whether children diagnosed with Pediatric Acute-onset Neuropsychiatric Syndrome (PANS) or Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections (PANDAS) commonly have additional psychiatric conditions and whether these conditions are linked to greater symptom severity at diagnosis. We also explored whether age or sex was related to symptom burden.
The dataset includes cleaned, fully de-identified information from 265 unique children aged 3–18 years who were diagnosed with PANDAS (n = 149) or PANS-only (n = 116) at a private outpatient pediatric clinic in Utah between 2015 and 2025. Data were gathered retrospectively from electronic medical records using standardized review procedures. The shared dataset contains demographic information, diagnostic classification, documented psychiatric comorbidities (including attention-deficit/hyperactivity disorder, depression, and autism spectrum disorder), and baseline symptom severity measures.
Obsessive–compulsive symptom severity at presentation was measured using the Children’s Yale–Brown Obsessive-Compulsive Scale (CY-BOCS). Overall neuropsychiatric symptom burden was assessed using a standardized PANS/PANDAS symptom severity scale. All symptom severity values are based on parent-reported assessments recorded at the initial clinical visit.
The data show that psychiatric comorbidities are common among children with PANS and PANDAS, occurring at rates higher than those typically reported in the general pediatric population. Attention-deficit/hyperactivity disorder (ADHD) was frequently observed but was not strongly associated with greater obsessive–compulsive symptom severity at onset. Older age at diagnosis was modestly associated with higher symptom severity, while sex was not meaningfully related to clinical presentation.
These findings suggest that PANS and PANDAS are complex conditions involving broad neuropsychiatric symptoms rather than isolated obsessive–compulsive features. The dataset may be used to explore patterns of comorbidity, relationships between demographic factors and symptom severity, and to generate hypotheses for future longitudinal or mechanistic studies. Because the data come from a referred clinical population, results should be interpreted as descriptive and not representative of all children with these conditions.