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

Autor: Elizabeth S Draper, John Pappachan, Kent Thorburn, David Inwald, Richard Feltbower, Buvana Dwarakanathan, Patrick Davies, Kate Penny-Thomas, 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
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: BMJ Open, Vol 10, Iss 9 (2020)
Druh dokumentu: article
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2020-037517
Popis: 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
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