Pediatric Autoimmune Neuropsychiatric Disorders Associated With Group A Streptococci: Etiopathology and Diagnostic

Andrada Hutanu1, Lalitha N Reddy2, Janice Mathew3

  • 1Trauma and Orthopaedics, King's College Hospital NHS Foundation Trust, London, GBR.

Cureus
|September 15, 2022
PubMed

Insights

Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections (PANDAS) remain controversial, with ongoing debate about their cause, natural history, and effective treatments like antibiotics and immunotherapy.

Area of Science:

  • Pediatric Neurology
  • Infectious Diseases
  • Psychiatry

Background:

  • Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections (PANDAS) is a condition characterized by abrupt-onset obsessive-compulsive disorder (OCD) and tics in children.
  • The exact role of streptococcal infections, the natural history, and optimal therapeutic strategies for PANDAS are still under investigation and debate.

Purpose of the Study:

  • To critically review the existing literature on PANDAS, focusing on its epidemiology, pathophysiology, and treatment modalities.
  • To address concerns regarding the diagnosis, treatment, and pathogenesis of PANDAS amidst growing attention and diagnostic usage.

Main Methods:

  • A multi-language literature search was conducted across Medline, Cochrane, Embase, and Google Scholar up to October 2021.
  • Search terms included "PANDAS," "Group A Streptococcus," "OCD," and "tics," utilizing relevant MeSH terms.

Main Results:

  • The literature on PANDAS therapy is varied, with no established clinical consensus on the preferred treatment.
  • Evidence supporting the autoimmune rationale for PANDAS is not convincing, yet the diagnostic category is increasingly used.

Conclusions:

  • There is a critical need to address the diagnostic criteria, treatment options, and underlying pathogenesis of PANDAS.
  • This review aims to propose a therapeutic strategy for children presenting with acute symptoms consistent with PANDAS criteria.

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