Evidence map›Paper›PMID 39640940›Full record

ArticleEClinicalMedicine2024

EEG background activity, seizure burden and early childhood outcomes in neonatal encephalopathy in Uganda: a prospective feasibility cohort study.

Sean R Mathieson, Carol Nanyunja, Samantha Sadoo, Sherinah Nakalembe, Eleanor Duckworth, Stella Muryasingura, Natalia Niombi, Jacopo Proietti, Mariam Busingye, Annettee Nakimuli and 5 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Sean R MathiesonINFANT Research Centre and Department of Paediatrics & Child Health, University College Cork, Ireland.
Carol NanyunjaMRC/UVRI & LSHTM Uganda Research Unit, Entebbe.
Samantha SadooLondon School of Hygiene & Tropical Medicine, Keppel Street, London.
Sherinah NakalembeMRC/UVRI & LSHTM Uganda Research Unit, Entebbe.
Eleanor DuckworthUniversity College London Hospitals NHS Trust, Euston Road, London.
Stella MuryasinguraMRC/UVRI & LSHTM Uganda Research Unit, Entebbe.
Natalia NiombiMRC/UVRI & LSHTM Uganda Research Unit, Entebbe.
Jacopo ProiettiINFANT Research Centre and Department of Paediatrics & Child Health, University College Cork, Ireland.
Mariam BusingyeMRC/UVRI & LSHTM Uganda Research Unit, Entebbe.
Annettee NakimuliKawempe National Referral Hospital, Kampala, Uganda.
Vicki LivingstoneINFANT Research Centre and Department of Paediatrics & Child Health, University College Cork, Ireland.
Emily L WebbLondon School of Hygiene & Tropical Medicine, Keppel Street, London.
Ivan MambuleMRC/UVRI & LSHTM Uganda Research Unit, Entebbe.
Geraldine B BoylanINFANT Research Centre and Department of Paediatrics & Child Health, University College Cork, Ireland.
Cally J TannMRC/UVRI & LSHTM Uganda Research Unit, Entebbe.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Intrapartum-related neonatal encephalopathy (NE) is a leading cause of childhood mortality and morbidity. Continuous electroencephalography (EEG) is gold standard for neonatal brain monitoring; however, low-income country data is lacking. We examined EEG in a Ugandan cohort with NE to describe feasibility, background activity, seizure prevalence and burden, and associations with clinical presentation and outcome. Methods: Neonates with NE were recruited from a single hospital referral centre in Kampala, Uganda (Oct 2019-Oct 2020) and underwent EEG monitoring. Feasibility was assessed as to whether EEG monitoring of diagnostic quality could be achieved from days 1-5. Evolution of clinical presentation was assessed by Sarnat classification and daily Thompson score was performed. EEG background severity was graded at 12, 24, 48 and 72 h after birth, and at time of Thompson score. Seizures were annotated remotely by experts and assessed for frequency, duration, burden, and status epilepticus. Early childhood outcome was assessed at follow up, and adverse outcome defined as death or neurodevelopmental impairment (NDI) at 18-24 months of age. Findings: In this prospective feasibility cohort study, diagnostic quality EEGs were recorded for 50 of 51 recruited neonates (median duration 71.4 h, IQR 52.4-72.2), indicating feasibility. Of 39 participants followed to 18-24 months, 13 died and 7 had NDI. Daily Thompson score and EEG background grade were strongly correlated across all timepoints (days 1-5). Thompson score of ≥7 was most predictive of moderate-severe EEG background abnormality (AUC 0.83). Prognostic accuracy of moderate-severe EEG background grade to predict NDI was high (AUC 0.74). Electrographic seizures were seen in 52% (26); median seizure burden was high at 264 min (IQR 27.8-523.7, range 1.3-1374.1); half (13) had status epilepticus. Interpretation: EEG monitoring was feasible as a research tool in this sub-Saharan Africa setting. EEG background activity correlated strongly with scored neurological assessment and predicted adverse early childhood outcome. Seizure prevalence and burden, including status epilepticus, were high in this uncooled cohort with important potential longer-term implications for survivors. Funding: Bill & Melinda Gates Foundation grant number OPP1210890; Wellcome Trust Innovator award (209325/Z/17/Z).

Indexed as

Birth asphyxiaEEGElectroencephalographyNeonatal encephalopathyNeonatal seizuresNewbornSub-Saharan AfricaUganda

Identifiers

PMID39640940
PMCPMC11617306

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.