Canadian infants presenting with Brief Resolved Unexplained Events (BRUEs) and validation of clinical prediction rules for risk stratification: a protocol for a multicentre, retrospective cohort study
Sanjay Mahant,
Peter J Gill,
Nassr Nama,
Ronik Kanani,
Olivier Drouin,
Julie Quet,
Gemma Vomiero,
Anupam Sehgal,
Thuy Mai Luu,
Ran D Goldman,
Jeffrey N Bone,
Jessica L Foulds,
Joel S Tieder,
Parnian Hosseini,
Zerlyn Lee,
Kara Picco,
Josée Anne Gagnon,
Joanna Holland,
Kristopher T Kang,
Falla Jin
Affiliations
Sanjay Mahant
Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
Peter J Gill
Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
Nassr Nama
Division of General Pediatrics, British Columbia Children`s Hospital, Vancouver, British Columbia, Canada
Ronik Kanani
Department of Pediatrics, North York General Hospital, University of Toronto, Toronto, Ontario, Canada
Olivier Drouin
Department of Pediatrics, University of Montreal, Montreal, Quebec, Canada
Julie Quet
Department of Pediatrics, University of Ottawa, Ottawa, Ontario, Canada
Gemma Vomiero
Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
Anupam Sehgal
Department of Pediatrics, Queen`s University, Kingston, Ontario, Canada
Thuy Mai Luu
Department of Pediatrics, University of Montreal, Montreal, Quebec, Canada
Ran D Goldman
The Pediatric Research in Emergency Therapeutics (PRETx) Program, BC Children`s Hospital Research Institute, Vancouver, British Columbia, Canada
Jeffrey N Bone
Research Informatics, BC Children`s Hospital Research Institute, Vancouver, British Columbia, Canada
Jessica L Foulds
Department of Pediatrics, University of Alberta Faculty of Medicine & Dentistry, Edmonton, Alberta, Canada
Joel S Tieder
Department of Pediatrics, Seattle Children`s Hospital, Seattle, Washington, USA
Parnian Hosseini
Department of Pediatrics, The University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada
Zerlyn Lee
Department of Pediatrics, The University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada
Kara Picco
Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
Josée Anne Gagnon
Department of Pediatrics, CHU de Quebec-Universite Laval, Quebec City, Quebec, Canada
Joanna Holland
Department of Pediatrics, Division of General Pediatrics, IWK Health Centre, Halifax, Nova Scotia, Canada
Kristopher T Kang
Division of General Pediatrics, British Columbia Children`s Hospital, Vancouver, British Columbia, Canada
Falla Jin
Clinical Research Support Unit, BC Children`s Hospital Research Institute, Vancouver, British Columbia, Canada
Introduction Brief Resolved Unexplained Events (BRUEs) are a common presentation among infants. While most of these events are benign and self-limited, guidelines published by the American Academy of Pediatrics inaccurately identify many patients as higher-risk of a serious underlying aetiology (positive predictive value 5%). Recently, new clinical prediction rules have been derived to more accurately stratify patients. This data were however geographically limited to the USA, with no large studies to date assessing the BRUE population in a different healthcare setting. The study’s aim is to describe the clinical management and outcomes of infants presenting to Canadian hospitals with BRUEs and to externally validate the BRUE clinical prediction rules in identified cases.Methods and analysis This is a multicentre retrospective study, conducted within the Canadian Paediatric Inpatient Research Network (PIRN). Infants (<1 year) presenting with a BRUE at one of 11 Canadian paediatric centres between 1 January 2017 and 31 December 2021 will be included. Eligible patients will be identified using diagnostic codes.The primary outcome will be the presence of a serious underlying illness. Secondary outcomes will include BRUE recurrence and length of hospital stay. We will describe the rates of hospital admissions and whether hospitalisation was associated with an earlier diagnosis or treatment. Variation across Canadian hospitals will be assessed using intraclass correlation coefficient. To validate the newly developed clinical prediction rule, measures of goodness of fit will be evaluated. For this validation, a sample size of 1182 is required to provide a power of 80% to detect patients with a serious underlying illness with a significance level of 5%.Ethics and dissemination Ethics approval has been granted by the UBC Children’s and Women’s Research Board (H21-02357). The results of this study will be disseminated as peer-reviewed manuscripts and presentations at national and international conferences.