About: Introducing a New Algorithm for Classification of Etiology in Studies on Pediatric Pneumonia: Protocol for the Trial of Respiratory Infections in Children for Enhanced Diagnostics Study

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About: Introducing a New Algorithm for Classification of Etiology in Studies on Pediatric Pneumonia: Protocol for the Trial of Respiratory Infections in Children for Enhanced Diagnostics Study Goto Sponge NotDistinct Permalink

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Introducing a New Algorithm for Classification of Etiology in Studies on Pediatric Pneumonia: Protocol for the Trial of Respiratory Infections in Children for Enhanced Diagnostics Study
Creator	Naucler, Pontus Rhedin, Samuel Waris, Matti Peltola, Ville Lindh, Magnus Andersson, Maria Mårtensson, Andreas Alfvén, Tobias Andersson-Svahn, Helene Eklundh, Annika Gantelius, Jesper Nybond, Susanna Rasti, Reza Ryd-Rinder, Malin Zenk, Ingela Eysenbach, Gunther Tramper-Stranders, Gerdien Brenas, Jon
source	PMC
abstract	BACKGROUND: There is a need to better distinguish viral infections from antibiotic-requiring bacterial infections in children presenting with clinical community-acquired pneumonia (CAP) to assist health care workers in decision making and to improve the rational use of antibiotics. OBJECTIVE: The overall aim of the Trial of Respiratory infections in children for ENhanced Diagnostics (TREND) study is to improve the differential diagnosis of bacterial and viral etiologies in children aged below 5 years with clinical CAP, by evaluating myxovirus resistance protein A (MxA) as a biomarker for viral CAP and by evaluating an existing (multianalyte point-of-care antigen detection test system [mariPOC respi] ArcDia International Oy Ltd.) and a potential future point-of-care test for respiratory pathogens. METHODS: Children aged 1 to 59 months with clinical CAP as well as healthy, hospital-based, asymptomatic controls will be included at a pediatric emergency hospital in Stockholm, Sweden. Blood (analyzed for MxA and C-reactive protein) and nasopharyngeal samples (analyzed with real-time polymerase chain reaction as the gold standard and antigen-based mariPOC respi test as well as saved for future analyses of a novel recombinase polymerase amplification–based point-of-care test for respiratory pathogens) will be collected. A newly developed algorithm for the classification of CAP etiology will be used as the reference standard. RESULTS: A pilot study was performed from June to August 2017. The enrollment of study subjects started in November 2017. Results are expected by the end of 2019. CONCLUSIONS: The findings from the TREND study can be an important step to improve the management of children with clinical CAP. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/12705
has issue date	2019-04-26(xsd:dateTime)
bibo:doi	10.2196/12705
bibo:pmid	31025954
has license	cc-by
schema:url	https://doi.org/10.2196/12705
resource representing a document's title	Introducing a New Algorithm for Classification of Etiology in Studies on Pediatric Pneumonia: Protocol for the Trial of Respiratory Infections in Children for Enhanced Diagnostics Study
has PubMed Central identifier	PMC6658235
has PubMed identifier	31025954
schema:publication	JMIR Res Protoc
resource representing a document's body	covid:PMC6658235#body_text
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