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Early Cord Metabolite Index and Outcome in Perinatal Asphyxia and Hypoxic-Ischaemic Encephalopathy

Overview of attention for article published in Neonatology, August 2016
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Title
Early Cord Metabolite Index and Outcome in Perinatal Asphyxia and Hypoxic-Ischaemic Encephalopathy
Published in
Neonatology, August 2016
DOI 10.1159/000446556
Pubmed ID
Authors

C.E. Ahearne, N.M. Denihan, B.H. Walsh, S.N. Reinke, L.C. Kenny, G.B. Boylan, D.I. Broadhurst, D.M. Murray

Abstract

A 1H-NMR-derived metabolomic index based on early umbilical cord blood alterations of succinate, glycerol, 3-hydroxybutyrate and O-phosphocholine has shown potential for the prediction of hypoxic-ischaemic encephalopathy (HIE) severity. To evaluate whether this metabolite score can predict 3-year neurodevelopmental outcome in infants with perinatal asphyxia and HIE, compared with current standard biochemical and clinical markers. From September 2009 to June 2011, infants at risk of perinatal asphyxia were recruited from a single maternity hospital. Cord blood was drawn and biobanked at delivery. Neonates were monitored for development of encephalopathy both clinically and electrographically. Neurodevelopmental outcome was assessed at 36-42 months using the Bayley Scales of Infant and Toddler Development, ed. III (BSID-III). Death and cerebral palsy were also considered as abnormal end points. Thirty-one infants had both metabolomic analysis and neurodevelopmental outcome at 36-42 months. No child had a severely abnormal BSID-III result. The metabolite index significantly correlated with outcome (x03C1;2 = 0.30, p < 0.01), which is robust to predict both severe outcome (area under the receiver operating characteristic curve: 0.92, p < 0.01) and intact survival (0.80, p = 0.01). There was no correlation between the index score and performance in the individual BSID-III subscales (cognitive, language, motor). The metabolite index outperformed other standard biochemical markers at birth for prediction of outcome at 3 years, but was not superior to EEG or the Sarnat score.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 18%
Researcher 10 16%
Student > Ph. D. Student 8 13%
Student > Postgraduate 5 8%
Professor 4 7%
Other 13 21%
Unknown 10 16%
Readers by discipline Count As %
Medicine and Dentistry 22 36%
Nursing and Health Professions 6 10%
Neuroscience 6 10%
Biochemistry, Genetics and Molecular Biology 4 7%
Psychology 3 5%
Other 3 5%
Unknown 17 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2016.
All research outputs
#16,547,490
of 20,573,048 outputs
Outputs from Neonatology
#850
of 1,031 outputs
Outputs of similar age
#203,502
of 279,000 outputs
Outputs of similar age from Neonatology
#1
of 1 outputs
Altmetric has tracked 20,573,048 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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