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. 2018 Jul;103(4):F301-F306.
doi: 10.1136/archdischild-2017-313707. Epub 2017 Oct 22.

Neonatal brain injuries in England: population-based incidence derived from routinely recorded clinical data held in the National Neonatal Research Database

Affiliations

Neonatal brain injuries in England: population-based incidence derived from routinely recorded clinical data held in the National Neonatal Research Database

Chris Gale et al. Arch Dis Child Fetal Neonatal Ed. 2018 Jul.

Erratum in

Abstract

Objective: In 2015, the Department of Health in England announced an ambition to reduce 'brain injuries occurring during or soon after birth'. We describe the development of a pragmatic case definition and present annual incidence rates.

Design: Retrospective cohort study using data held in the National Neonatal Research Database (NNRD) extracted from neonatal electronic patient records from all National Health Service (NHS) neonatal units in England, Wales and Scotland. In 2010-2011, population coverage in the NNRD was incomplete, hence rate estimates are presented as a range; from 2012, population coverage is complete, and rates (95% CIs) are presented. Rates are per 1000 live births.

Setting: NHS neonatal units in England.

Patients: Infants admitted for neonatal care; denominator: live births in England.

Main outcome measure: 'Brain injuries occurring at or soon after birth' defined as infants with seizures, hypoxic-ischaemic encephalopathy, stroke, intracranial haemorrhage, central nervous system infection and kernicterus and preterm infants with cystic periventricular leucomalacia.

Results: In 2010, the lower estimate of the rate of 'Brain injuries occurring at or soon after birth' in England was 4.53 and the upper estimate was 5.19; in 2015, the rate was 5.14 (4.97, 5.32). For preterm infants, the population incidence in 2015 was 25.88 (24.51, 27.33) and 3.47 (3.33, 3.62) for term infants. Hypoxic-ischaemic encephalopathy was the largest contributor to term brain injury, and intraventricular/periventricular haemorrhage was the largest contributor to preterm brain injury.

Conclusions: Annual incidence rates for brain injuries can be estimated from data held in the NNRD; rates for individual conditions are consistent with published rates. Routinely recorded clinical data can be used for national surveillance, offering efficiencies over traditional approaches.

Keywords: brain injuries; electronic health records; infant, newborn; intensive care, neonatal; nnrd.

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Conflict of interest statement

Competing interests: CG is funded by the United Kingdom Medical Research Council (MRC) through a Clinician Scientist Fellowship award. In the last 5 years, CG has received grants and fellowships from National Institute ofHeath Research (NIHR) and the Academy of Medical Sciences; he has been awarded British Association of Perinatal Medicine (BAPM) Travel Awards, which are supported by Chiesi Pharmaceuticals, to attend educational conferences outside the submitted work. In the last 5 years, NM has received and grants from the National Institute of Heath Research, Medical Research Council, British Heart Foundation, Westminster Children’s Trust Fund, NHS England and Bliss and consultancy fees from Ferring Pharmaceuticals. CG, YS, SJ and NM work in the Neonatal Data Analysis Unit (NDAU), which houses the National Neonatal Research Database (NNRD); CG, SJ and NM do not receive salary or other financial reimbursement from the NDAU. During preparation of this manuscript, YS was employed by the NDAU as a data analyst.

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