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
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 stratificatio...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2020-09-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/10/9/e037517.full |
| _version_ | 1826894772432797696 |
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| author | Elizabeth S Draper John Pappachan Kent Thorburn David Inwald Richard Feltbower Buvana Dwarakanathan Patrick Davies Kate Penny-Thomas James Martin Rum Thomas Kevin P Morris Roger Parslow Timothy Thiruchelvam Sophie Skellett Hari Krishnan Kanthimathinathan Victoria Hiley Peter Barry Sian Cooper Rohit Saxena Cormac Breatnach Barnaby Robert Scholefield Sarah Evans Mirjam Kool Alice J Sitch Fang Smith Yamuna Thiru Richard Levin Rachel Agbecko James Weitz Akash Deep Sandra Gala-Peralta Milly Lo Rachael Barber Stewart Reid Siva Oruganti Kalai Sadasivam Mark Bebbington |
| author_facet | Elizabeth S Draper John Pappachan Kent Thorburn David Inwald Richard Feltbower Buvana Dwarakanathan Patrick Davies Kate Penny-Thomas James Martin Rum Thomas Kevin P Morris Roger Parslow Timothy Thiruchelvam Sophie Skellett Hari Krishnan Kanthimathinathan Victoria Hiley Peter Barry Sian Cooper Rohit Saxena Cormac Breatnach Barnaby Robert Scholefield Sarah Evans Mirjam Kool Alice J Sitch Fang Smith Yamuna Thiru Richard Levin Rachel Agbecko James Weitz Akash Deep Sandra Gala-Peralta Milly Lo Rachael Barber Stewart Reid Siva Oruganti Kalai Sadasivam Mark Bebbington |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T01:48:37Z |
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| institution | Directory Open Access Journal |
| issn | 2044-6055 |
| language | English |
| last_indexed | 2025-02-17T05:21:20Z |
| publishDate | 2020-09-01 |
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| spelling | doaj.art-26aa30b78f4e4f7482a372af665d398f2025-01-08T16:05:11ZengBMJ Publishing GroupBMJ Open2044-60552020-09-0110910.1136/bmjopen-2020-037517NEUROlogical 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 0Elizabeth S Draper1John Pappachan2Kent Thorburn3David Inwald4Richard Feltbower5Buvana DwarakanathanPatrick Davies6Kate Penny-Thomas7James Martin8Rum Thomas9Kevin P Morris10Roger Parslow11Timothy ThiruchelvamSophie SkellettHari Krishnan Kanthimathinathan12Victoria Hiley13Peter Barry14Sian Cooper15Rohit Saxena16Cormac Breatnach17Barnaby Robert Scholefield18Sarah Evans19Mirjam Kool20Alice J Sitch21Fang Smith22Yamuna ThiruRichard Levin23Rachel AgbeckoJames WeitzAkash DeepSandra Gala-PeraltaMilly LoRachael BarberStewart ReidSiva Oruganti24Kalai SadasivamMark BebbingtonGENYO, Pfizer-University, Granada, Spain, Granada, SpainPaediatric Intensive Care Audit Network, Department of Population Health Sciences, University of Leicester, Leicester, UK9 Paediatric Intensive Care, Southampton Children’s Hospital, Southampton, UK10 Paediatric Intensive Care, Royal Liverpool Childrens Hospital Alder Hey, Liverpool, UKCambridge University Hospitals NHS Foundation Trust, Cambridge, UKLeeds Institute for Data Analytics, School of Medicine, University of Leeds, Leed, UK4 Paediatric Critical Care Unit, Nottingham Children`s Hospital, Nottingham, UKPaediatric Intensive Care Unit, Birmingham Women and Children`s NHS Foundation Trust, Birmingham, West Midlands, UKInstitute of Applied Health Research, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK2 Paediatric Intensive Care Unit, Sheffield Children`s Hospital, Sheffield, UKPaediatric Intensive Care, Birmingham Children`s Hospital, Birmingham, West Midlands, UK7 Faculty of Medicine and Health, University of Leeds, Leeds, UKPICU consultantLeeds Institute for Data Analytics, University of Leeds, Leeds, West Yorkshire, UKDivision of Immunology, Immunity to Infection & Respiratory Medicine, University of Manchester, Manchester, UK1 Paediatric Intensive Care Unit, Leeds Teaching Hospitals NHS Trust, Leeds, UKGreat Ormond Street Hospital for Children NHS Foundation Trust, UKChildren’s Health IrelandBirmingham Acute Care Research Group, University of Birmingham College of Medical and Dental Sciences, Birmingham, West Midlands, UKTranslational Gastroenterology Unit, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UKBirmingham Acute Care Research Group, University of Birmingham College of Medical and Dental Sciences, Birmingham, West Midlands, UKNational Institute for Health Research Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and the University of Birmingham, Birmingham, UKBirmingham Acute Care Research Group, University of Birmingham College of Medical and Dental Sciences, Birmingham, West Midlands, UKRoyal Hospital for Children, GlasgowRegional Neonatal Intensive Care Unit, University Hospital of Wales, Cardiff, UKIntroduction 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.https://bmjopen.bmj.com/content/10/9/e037517.full |
| spellingShingle | Elizabeth S Draper John Pappachan Kent Thorburn David Inwald Richard Feltbower Buvana Dwarakanathan Patrick Davies Kate Penny-Thomas James Martin Rum Thomas Kevin P Morris Roger Parslow Timothy Thiruchelvam Sophie Skellett Hari Krishnan Kanthimathinathan Victoria Hiley Peter Barry Sian Cooper Rohit Saxena Cormac Breatnach Barnaby Robert Scholefield Sarah Evans Mirjam Kool Alice J Sitch Fang Smith Yamuna Thiru Richard Levin Rachel Agbecko James Weitz Akash Deep Sandra Gala-Peralta Milly Lo Rachael Barber Stewart Reid Siva Oruganti Kalai Sadasivam Mark Bebbington 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 BMJ Open |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| url | https://bmjopen.bmj.com/content/10/9/e037517.full |
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