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Predicting severe pneumonia in the emergency department: a global study of the Pediatric Emergency Research Networks (PERN)—study protocol

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Title: Predicting severe pneumonia in the emergency department: a global study of the Pediatric Emergency Research Networks (PERN)—study protocol
Authors: Franz E Babl, Stuart R Dalziel, Simon Craig, Santiago Mintegi, Mark Neuman, Amy C Plint, Meredith L Borland, Amit Kochar, Naveen Poonai, Fabio Midulla, Shefali Jani, Mihai Gafencu, Shane George, Arjun Rao, Nathan Kuppermann, Shu-Ling Chong, Bruce Wright, Annick Galetto-Lacour, Andrea K Morrison, Michelle Eckerle, Jennifer Tucker, James Chamberlain, Nicholas Watkins, Mark I Neuman, Susanne Greber-Platzer, Todd Adam Florin, Daniel Joseph Tancredi, Lilliam Ambroggio, Fahd A Ahmad, Andrea Álvarez-Álvarez, Alberto Arrighini, Usha Avva, Elena Aquino Olivia, Uchechi Azubuine, Luisa Baron Gonzalez de Suso, Kelly R Bergmann, Stuart A Bradin, Kristen Breslin, Rosa María Calderón Checa, Maria Natali Campo Fernández, Carmen Campos-Calleja, Kerry Caperell, Pradip P Chaudhari, Jonathan Cherry, Wee-Jhong Chua, Ida Concha Murray, Thosar Deepali, Pinky-Rose Espina, Susan Fairbrother, Alexandria Farish, Daniel M Fein, Ramón Fernández Álvarez, Todd A Florin, Stephen Freedman, Karen Forward, Jara Gaitero Tristán, Iker Gangoiti, Michael A Gardiner, Virginia Gómez-Barrena, Tamara Hirsch Birn, Adam Isacoff, April J Kam, Nirupama Kannikeswaran, Maria Y Kwok, Maren M Lunoe, Ryan McKee, Son H McLaren, Lianne McLean, Garth D Meckler, Erin Mills, Diana Aniela Moldovan, Andrea Mora-Capín, Viera Morales, Claudia R Morris, Nidhya Navanandan, Rebecca Oglesby, Ioannis Orfanos, Sonia Viviana Pavlicich, Astrid Pezoa Fuenzalida, Mercè Puigdomènech Fosch, Miguel Angelats Carlos Romero, Vikram Sabhaney, Cyril Sahyoun, Frederic Samson, Nipam P Shah, Pilar Storch-de-Gracia Calvo, Tristan Turner, Muhammad Waseem, Joseph Zorc
Source: BMJ Open, Vol 10, Iss 12 (2020)
Publisher Information: BMJ Publishing Group, 2020.
Publication Year: 2020
Collection: LCC:Medicine
Subject Terms: Medicine
Description: Introduction Pneumonia is a frequent and costly cause of emergency department (ED) visits and hospitalisations in children. There are no evidence-based, validated tools to assist physicians in management and disposition decisions for children presenting to the ED with community-acquired pneumonia (CAP). The objective of this study is to develop a clinical prediction model to accurately stratify children with CAP who are at risk for low, moderate and severe disease across a global network of EDs.Methods and analysis This study is a prospective cohort study enrolling up to 4700 children with CAP at EDs at ~80 member sites of the Pediatric Emergency Research Networks (PERN; https://pern-global.com/). We will include children aged 3 months to
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2044-6055
Relation: https://bmjopen.bmj.com/content/10/12/e041093.full; https://doaj.org/toc/2044-6055
DOI: 10.1136/bmjopen-2020-041093
Access URL: https://doaj.org/article/f7b1ec1f468f464fa07e34db7e27ea49
Accession Number: edsdoj.f7b1ec1f468f464fa07e34db7e27ea49
Database: Directory of Open Access Journals
Description
Abstract:Introduction Pneumonia is a frequent and costly cause of emergency department (ED) visits and hospitalisations in children. There are no evidence-based, validated tools to assist physicians in management and disposition decisions for children presenting to the ED with community-acquired pneumonia (CAP). The objective of this study is to develop a clinical prediction model to accurately stratify children with CAP who are at risk for low, moderate and severe disease across a global network of EDs.Methods and analysis This study is a prospective cohort study enrolling up to 4700 children with CAP at EDs at ~80 member sites of the Pediatric Emergency Research Networks (PERN; https://pern-global.com/). We will include children aged 3 months to
ISSN:20446055
DOI:10.1136/bmjopen-2020-041093