Acute Flaccid Myelitis: A Multidisciplinary Protocol to Optimize Diagnosis and Evaluation

Marissa Vawter-Lee1,2, Katrina Peariso1,2, Mary Frey3

  • 12518University of Cincinnati, College of Medicine, Cincinnati, OH, USA.

Insights

Acute flaccid myelitis (AFM) is a serious neurologic condition affecting children, with cases peaking biennially. A new protocol standardizes evaluation and treatment for better outcomes in AFM patients.

Area of Science:

  • Neurology
  • Pediatrics
  • Infectious Disease Epidemiology

Background:

  • Acute flaccid myelitis (AFM) is an emerging neurologic illness first identified in 2014, primarily impacting young children.
  • AFM cases exhibit a biennial peak, typically occurring in late summer to fall, with a predicted increase in 2020.
  • Delayed diagnosis and variable evaluation contribute to suboptimal care and high morbidity in AFM patients.

Purpose of the Study:

  • To share findings from a 2018 case review of AFM patients.
  • To disseminate a newly developed protocol for the evaluation and management of pediatric AFM.
  • To promote a standardized, multidisciplinary approach to AFM care.

Main Methods:

  • Review of acute flaccid myelitis patients treated in 2018.
  • Development of a comprehensive protocol based on local experience, expert consensus, and literature review.
  • The protocol addresses the full spectrum of care, from initial presentation to long-term rehabilitation.

Main Results:

  • A 2018 case review revealed significant variability in presentation, evaluation, and treatment timelines for AFM.
  • A standardized protocol was developed to address these inconsistencies.
  • The protocol provides a structured approach for managing pediatric AFM.

Conclusions:

  • Standardized, multidisciplinary care is essential for optimizing outcomes in acute flaccid myelitis.
  • Dissemination of the developed protocol aims to inform a standardized approach to AFM.
  • Encouraging the formation of multidisciplinary AFM teams can enhance expert care throughout the disease trajectory.