Admission EEG findings in diverse paediatric cerebral malaria populations predict outcomes

Douglas G Postels1,2, Xiaoting Wu3, Chenxi Li3

  • 1International Neurologic and Psychiatric Epidemiology Program, Michigan State University, 909 Fee Road, 324 West Fee Hall, East Lansing, MI, 48824, USA. dpostels@childrensnational.org.

Malaria Journal
|May 23, 2018
PubMed

Insights

Electroencephalography (EEG) at hospital admission can predict outcomes in children with cerebral malaria (CM). Specific EEG patterns are linked to survival and neurological complications, aiding in clinical trial subject selection.

Area of Science:

  • Neurology
  • Pediatrics
  • Clinical Trials

Background:

  • Electroencephalography (EEG) at hospital presentation offers prognostic insights for cerebral malaria (CM).
  • Understanding CM pathophysiology and guiding clinical trial patient selection requires prognostic markers.
  • This study compared EEG findings in children with CM in Uganda and Malawi to assess prognosis.

Purpose of the Study:

  • To compare Electroencephalogram (EEG) findings in children with cerebral malaria (CM) from Uganda and Malawi.
  • To assess the association between admission EEG findings and patient outcomes (mortality and morbidity).
  • To evaluate the potential utility of EEG for risk stratification in CM clinical trials.

Main Methods:

  • Demographic, clinical, and admission EEG data were collected from 281 children with CM (Uganda n=122, Malawi n=159) between 2009-2012.
  • Survivors were assessed for neurological abnormalities at discharge.
  • Univariate analyses were performed on pooled data to associate EEG findings with outcomes.

Main Results:

  • Malawian children were older, had higher HIV prevalence, and worse hyperlactataemia than Ugandan children.
  • EEG findings, including voltage, frequencies, reactivity, and sleep architecture, differed between the two groups.
  • Higher average/maximum voltages, faster frequencies, and retained reactivity correlated with survival (p<0.05). Focal slowing predicted death (OR 2.93), and lower average voltage predicted neurological morbidity in survivors (p=0.0032).

Conclusions:

  • Admission EEG findings predicted mortality and morbidity in children with CM, despite demographic and clinical heterogeneity between Uganda and Malawi.
  • EEG is a valuable tool for risk stratification and subject selection in clinical trials targeting CM mortality or morbidity reduction.
Abstract

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