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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Nov 18, 2018
Open Peer Review Period: Dec 3, 2018 - Dec 17, 2018
Date Accepted: Mar 24, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Rhedin SA, Eklundh A, Ryd-Rinder M, Naucler P, Mårtensson A, Gantelius J, Zenk I, Andersson-Svahn H, Nybond S, Rasti R, Lindh M, Andersson M, Peltola V, Waris M, Alfvén T

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

JMIR Res Protoc 2019;8(4):e12705

DOI: 10.2196/12705

PMID: 31025954

PMCID: 6658235

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

  • Samuel Arthur Rhedin; 
  • Annika Eklundh; 
  • Malin Ryd-Rinder; 
  • Pontus Naucler; 
  • Andreas Mårtensson; 
  • Jesper Gantelius; 
  • Ingela Zenk; 
  • Helene Andersson-Svahn; 
  • Susanna Nybond; 
  • Reza Rasti; 
  • Magnus Lindh; 
  • Maria Andersson; 
  • Ville Peltola; 
  • Matti Waris; 
  • Tobias Alfvén

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:

DERR1-10.2196/12705


 Citation

Please cite as:

Rhedin SA, Eklundh A, Ryd-Rinder M, Naucler P, Mårtensson A, Gantelius J, Zenk I, Andersson-Svahn H, Nybond S, Rasti R, Lindh M, Andersson M, Peltola V, Waris M, Alfvén T

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

JMIR Res Protoc 2019;8(4):e12705

DOI: 10.2196/12705

PMID: 31025954

PMCID: 6658235

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.