Diagnostic algorithm for relapsing acquired demyelinating syndromes in children

Yael Hacohen1, Kshitij Mankad2, W K Chong2

  • 1From the Department of Paediatric Neurology (Y.H., C.H.), Great Ormond Street Hospital for Children; Department of Neuroinflammation (Y.H., O.C.), Queen Square MS Centre, UCL Institute of Neurology; Department of Clinical Neuroscience (Y.H.), UCL Institute of Child Health; Paediatric Neuroradiology (K.M., W.K.C.), Great Ormond Street Hospital; Institutes of Neurology and Biomedical Engineering (F.B.), University College London, UK; Department of Radiology and Nuclear Medicine (F.B.), VU University Medical Centre, Amsterdam, the Netherlands; Nuffield Department of Clinical Neurosciences (A.V.), John Radcliffe Hospital, University of Oxford; Children's Neurosciences (M.L.), Evelina London Children's Hospital at Guy's and St Thomas' NHS Foundation Trust, King's Health Partners Academic Health Science Centre, London; and Department of Paediatric Neurology (E.W.), Birmingham Children's Hospital, Birmingham, UK. yael.hacohen@gosh.nhs.uk.

Neurology
|June 16, 2017
PubMed

Insights

Children with myelin oligodendrocyte glycoprotein antibody (MOG-Ab) associated disease show distinct features and are now a unified phenotype. A new diagnostic algorithm aids in classifying pediatric acquired demyelinating syndromes.

Area of Science:

  • Pediatric Neurology
  • Neuroimmunology
  • Demyelinating Diseases of the Central Nervous System

Background:

  • Acquired demyelinating syndromes (RDS) in children encompass various conditions, including multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), and others.
  • Myelin oligodendrocyte glycoprotein antibodies (MOG-Ab) are implicated in some pediatric RDS, but their distinct clinical and radiological profiles require further elucidation.
  • Differentiating between these RDS phenotypes is crucial for accurate diagnosis and management.

Purpose of the Study:

  • To determine if children with MOG-Ab and RDS exhibit unique clinical and radiological characteristics.
  • To develop a diagnostic algorithm for classifying major pediatric RDS for practical clinical application.

Main Methods:

  • A panel analyzed clinical data, MOG-Ab, aquaporin-4 antibody (AQP4-Ab), oligoclonal bands, and Epstein-Barr virus serology in 110 children with RDS.
  • A neuroradiologist, blinded to diagnoses, evaluated MRI scans.
  • Clinical, radiological, and serological findings were compared across different RDS groups.

Main Results:

  • The study identified multiple sclerosis (MS) in 56.4%, NMOSD in 25.4%, multiphasic disseminated encephalomyelitis (MDEM) in 12.7%, and relapsing optic neuritis (RON) in 5.5% of cases.
  • MOG-Ab were prevalent in AQP4-Ab-negative NMOSD (83.3%), MDEM (100%), and RON (33.3%).
  • Children with MOG-Ab were younger, had less severe disability, longer relapse times, and distinct MRI features (e.g., cerebellar peduncle lesions) compared to AQP4-Ab NMOSD patients.
  • A diagnostic algorithm was proposed, categorizing RDS into MS, AQP4-Ab NMOSD, MOG-Ab-associated disease, and antibody-negative RDS.

Conclusions:

  • Pediatric MS and AQP4-Ab NMOSD mirror adult presentations.
  • MOG-Ab-positive pediatric RDS cases demonstrate distinct clinical and MRI features, warranting classification as a unified phenotype: MOG-Ab-associated disease.
  • The proposed diagnostic algorithm integrates these findings for improved classification of pediatric CNS demyelinating disorders.
Abstract