Pediatric Intraoperative Neurophysiological Monitoring and Long-Term Outcomes in a Developing Country

Daniel San-Juan1, Jenny Angelica Vicuña Vanegas1, Raúl Aguilar López2

  • 1Clinical Neurophysiology Department, National Institute of Neurology and Neurosurgery, Mexico City, Mexico; and.

Insights

Pediatric intraoperative neurophysiological monitoring (IONM) in developing countries effectively prevents neurological deficits. This study highlights its use in posterior fossa and spine surgeries, showing 100% true negatives and improved outcomes.

Area of Science:

  • Neuroscience
  • Pediatric Neurosurgery
  • Clinical Neurophysiology

Background:

  • Pediatric intraoperative neurophysiological monitoring (IONM) is established in developed nations for preventing neurological deficits.
  • Limited data exists on IONM's effectiveness and findings in developing countries.
  • This study addresses the gap by examining pediatric neurosurgical cases in Mexico.

Purpose of the Study:

  • To describe neurophysiological findings and postoperative outcomes in children undergoing neurosurgery in a developing country.
  • To evaluate the application and efficacy of pediatric IONM in a single center.

Main Methods:

  • Retrospective case series of 35 pediatric patients (≤18 years) undergoing IONM from 2014-2020.
  • Data collected included sociodemographics, IONM modalities, intraoperative changes, and short- and long-term outcomes.
  • Descriptive statistics were employed to analyze the data.

Main Results:

  • IONM use increased fivefold from 2014 to 2020.
  • Common pathologies involved the infratentorial cranium (40%) and spine/spinal cord (37.1%).
  • 100% true negatives were observed at 24 hours postoperatively, with progressive motor and sensory improvement noted during long-term follow-up.

Conclusions:

  • Pediatric multimodal IONM is valuable for neurosurgeries in developing countries, particularly for posterior fossa and spine pathologies.
  • The monitoring effectively prevents postoperative sequelae, achieving 100% true negatives.
  • This study demonstrates the successful implementation and positive outcomes of IONM in a resource-limited setting.
Abstract

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