Literature DB >> 27486995

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

C E Ahearne1, N M Denihan, B H Walsh, S N Reinke, L C Kenny, G B Boylan, D I Broadhurst, D M Murray.   

Abstract

BACKGROUND: 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.
OBJECTIVE: 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.
METHODS: 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.
RESULTS: 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 (ρ2 = 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).
CONCLUSIONS: 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.
© 2016 S. Karger AG, Basel.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27486995     DOI: 10.1159/000446556

Source DB:  PubMed          Journal:  Neonatology        ISSN: 1661-7800            Impact factor:   4.035


  8 in total

1.  Understanding neonatal hypoxic-ischemic encephalopathy with metabolomics.

Authors:  N Efstathiou; G Theodoridis; K Sarafidis
Journal:  Hippokratia       Date:  2017 Jul-Sep       Impact factor: 0.471

2.  Mild Hypothermia Therapy for Moderate or Severe Hypoxicischemic Encephalopathy in Neonates.

Authors:  Weihua Liao; Huiying Xu; Jing Ding; Hong Huang
Journal:  Iran J Public Health       Date:  2018-01       Impact factor: 1.429

3.  Plasma metabolite score correlates with Hypoxia time in a newly born piglet model for asphyxia.

Authors:  Julia Kuligowski; Rønnaug Solberg; Ángel Sánchez-Illana; Leonid Pankratov; Anna Parra-Llorca; Guillermo Quintás; Ola Didrik Saugstad; Máximo Vento
Journal:  Redox Biol       Date:  2017-02-07       Impact factor: 11.799

4.  Urinary metabotypes of newborns with perinatal asphyxia undergoing therapeutic hypothermia.

Authors:  Enrico Valerio; Veronica Mardegan; Matteo Stocchero; Maria Elena Cavicchiolo; Paola Pirillo; Gabriele Poloniato; Gianluca D'Onofrio; Luca Bonadies; Giuseppe Giordano; Eugenio Baraldi
Journal:  PLoS One       Date:  2022-08-16       Impact factor: 3.752

Review 5.  A Metabolomic Approach in Search of Neurobiomarkers of Perinatal Asphyxia: A Review of the Current Literature.

Authors:  Marie Julie Debuf; Katherine Carkeek; Fiammetta Piersigilli
Journal:  Front Pediatr       Date:  2021-06-25       Impact factor: 3.418

6.  Metabolic Phenotypes of Hypoxic-Ischemic Encephalopathy with Normal vs. Pathologic Magnetic Resonance Imaging Outcomes.

Authors:  José David Piñeiro-Ramos; Antonio Núñez-Ramiro; Roberto Llorens-Salvador; Anna Parra-Llorca; Ángel Sánchez-Illana; Guillermo Quintás; Nuria Boronat-González; Juan Martínez-Rodilla; Julia Kuligowski; Máximo Vento
Journal:  Metabolites       Date:  2020-03-14

Review 7.  Exploring Perinatal Asphyxia by Metabolomics.

Authors:  Emanuela Locci; Giovanni Bazzano; Roberto Demontis; Alberto Chighine; Vassilios Fanos; Ernesto d'Aloja
Journal:  Metabolites       Date:  2020-04-04

8.  Quantitative methods for metabolomic analyses evaluated in the Children's Health Exposure Analysis Resource (CHEAR).

Authors:  Matthew Mazzella; Susan J Sumner; Shangzhi Gao; Li Su; Nancy Diao; Golam Mostofa; Qazi Qamruzzaman; Wimal Pathmasiri; David C Christiani; Timothy Fennell; Chris Gennings
Journal:  J Expo Sci Environ Epidemiol       Date:  2019-09-23       Impact factor: 5.563

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.