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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 S, 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

Trial of Respiratory infections in children for ENhanced Diagnostics (TREND) study protocol: introducing a new algorithm for classification of etiology in studies on pediatric pneumonia

  • Samuel 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

ABSTRACT

Background:

There is a need to better distinguish viral from antibiotic-requiring bacterial infections in children presenting with clinical community-acquired pneumonia (CAP) to assist healthcare workers’ decision-making and improve rational use of antibiotics.

Methods:

Children 1-59 months with clinical CAP as well as healthy hospital-based asymptomatic controls will be included at a pediatric emergency hospital in Stockholm, Sweden. Blood (analysed for myxovirus resistance protein A (MxA) and C-reactive protein (CRP)) and nasopharyngeal samples (analysed with real-time polymerase chain reaction as gold standard and antigen-based MariPOC® respi test as well as saved for later analyses by a new recombinase polymerase amplification based point-of-care test) will be collected. A newly developed algorithm for the classification of CAP etiology will be used as reference standard. Discussion: The overall aim of the TREND study is to improve the differential diagnosis of bacterial and viral etiology in children below 5 years of age with clinical CAP, by evaluating MxA as a biomarker for viral CAP and by evaluating an existing (MariPOC® respi) and a potential future point-of-care test for respiratory pathogens. The findings from the TREND study can be an important step to improve the management of children with clinical CAP. Trial registration: The study is registered at clinicaltrials.gov (ID:NCT03233516) July 28, 2017.


 Citation

Please cite as:

Rhedin S, 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.

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