NEUROlogical Prognosis After Cardiac Arrest in Kids (NEUROPACK) study: protocol for a prospective multicentre clinical prediction model derivation and validation study in children after cardiac arrest
Paediatric Intensive Care Audit Network, Department of Population Health Sciences, University of Leicester, Leicester, UK
John Pappachan
9 Paediatric Intensive Care, Southampton Children’s Hospital, Southampton, UK
Kent Thorburn
10 Paediatric Intensive Care, Royal Liverpool Childrens Hospital Alder Hey, Liverpool, UK
David Inwald
Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
Richard Feltbower
Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leed, UK
Buvana Dwarakanathan
Patrick Davies
4 Paediatric Critical Care Unit, Nottingham Children`s Hospital, Nottingham, UK
Kate Penny-Thomas
Paediatric Intensive Care Unit, Birmingham Women and Children`s NHS Foundation Trust, Birmingham, West Midlands, UK
James Martin
Institute of Applied Health Research, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK
Rum Thomas
2 Paediatric Intensive Care Unit, Sheffield Children`s Hospital, Sheffield, UK
Kevin P Morris
Paediatric Intensive Care, Birmingham Children`s Hospital, Birmingham, West Midlands, UK
Roger Parslow
7 Faculty of Medicine and Health, University of Leeds, Leeds, UK
Timothy Thiruchelvam
Sophie Skellett
Hari Krishnan Kanthimathinathan
PICU consultant
Victoria Hiley
Leeds Institute for Data Analytics, University of Leeds, Leeds, West Yorkshire, UK
Peter Barry
Division of Immunology, Immunity to Infection & Respiratory Medicine, University of Manchester, Manchester, UK
Sian Cooper
1 Paediatric Intensive Care Unit, Leeds Teaching Hospitals NHS Trust, Leeds, UK
Rohit Saxena
Great Ormond Street Hospital for Children NHS Foundation Trust, UK
Cormac Breatnach
Children’s Health Ireland
Barnaby Robert Scholefield
Birmingham Acute Care Research Group, University of Birmingham College of Medical and Dental Sciences, Birmingham, West Midlands, UK
Sarah Evans
Translational Gastroenterology Unit, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
Mirjam Kool
Birmingham Acute Care Research Group, University of Birmingham College of Medical and Dental Sciences, Birmingham, West Midlands, UK
Alice J Sitch
National Institute for Health Research Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and the University of Birmingham, Birmingham, UK
Fang Smith
Birmingham Acute Care Research Group, University of Birmingham College of Medical and Dental Sciences, Birmingham, West Midlands, UK
Yamuna Thiru
Richard Levin
Royal Hospital for Children, Glasgow
Rachel Agbecko
James Weitz
Akash Deep
Sandra Gala-Peralta
Milly Lo
Rachael Barber
Stewart Reid
Siva Oruganti
Regional Neonatal Intensive Care Unit, University Hospital of Wales, Cardiff, UK
Introduction Currently, we are unable to accurately predict mortality or neurological morbidity following resuscitation after paediatric out of hospital (OHCA) or in-hospital (IHCA) cardiac arrest. A clinical prediction model may improve communication with parents and families and risk stratification of patients for appropriate postcardiac arrest care. This study aims to the derive and validate a clinical prediction model to predict, within 1 hour of admission to the paediatric intensive care unit (PICU), neurodevelopmental outcome at 3 months after paediatric cardiac arrest.Methods and analysis A prospective study of children (age: >24 hours and <16 years), admitted to 1 of the 24 participating PICUs in the UK and Ireland, following an OHCA or IHCA. Patients are included if requiring more than 1 min of cardiopulmonary resuscitation and mechanical ventilation at PICU admission Children who had cardiac arrests in PICU or neonatal intensive care unit will be excluded. Candidate variables will be identified from data submitted to the Paediatric Intensive Care Audit Network registry. Primary outcome is neurodevelopmental status, assessed at 3 months by telephone interview using the Vineland Adaptive Behavioural Score II questionnaire. A clinical prediction model will be derived using logistic regression with model performance and accuracy assessment. External validation will be performed using the Therapeutic Hypothermia After Paediatric Cardiac Arrest trial dataset. We aim to identify 370 patients, with successful consent and follow-up of 150 patients. Patient inclusion started 1 January 2018 and inclusion will continue over 18 months.Ethics and dissemination Ethical review of this protocol was completed by 27 September 2017 at the Wales Research Ethics Committee 5, 17/WA/0306. The results of this study will be published in peer-reviewed journals and presented in conferences.Trial registration number NCT03574025.
