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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.
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.
Background:
Electroencephalography at hospital presentation may offer important insights regarding prognosis that can inform understanding of cerebral malaria (CM) pathophysiology and potentially guide patient selection and risk stratification for future clinical trials. Electroencephalogram (EEG) findings in children with CM in Uganda and Malawi were compared and associations between admission EEG findings and outcome across this diverse population were assessed. Demographic, clinical and admission EEG data from Ugandan and Malawian children admitted from 2009 to 2012 with CM were gathered, and survivors assessed for neurological abnormalities at discharge.
Results:
281 children were enrolled (Uganda n = 122, Malawi n = 159). The Malawian population was comprised only of retinopathy positive children (versus 72.5% retinopathy positive in Uganda) and were older (4.2 versus 3.7 years; p = 0.046), had a higher HIV prevalence (9.0 versus 2.8%; p = 0.042), and worse hyperlactataemia (7.4 versus 5.2 mmol/L; p < 0.001) on admission compared to the Ugandan children. EEG findings differed between the two groups in terms of average voltage and frequencies, reactivity, asymmetry, and the presence/absence of sleep architecture. In univariate analyses pooling EEG and outcomes data for both sites, higher average and maximum voltages, faster dominant frequencies, and retained reactivity were associated with survival (all p < 0.05). Focal slowing was associated with death (OR 2.93; 95% CI 1.77-7.30) and a lower average voltage was associated with neurological morbidity in survivors (p = 0.0032).
Conclusions:
Despite substantial demographic and clinical heterogeneity between subjects in Malawi and Uganda as well as different EEG readers at each site, EEG findings on admission predicted mortality and morbidity. For CM clinical trials aimed at decreasing mortality or morbidity, EEG may be valuable for risk stratification and/or subject selection.
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