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The TARGET cohort study protocol: a prospective primary care cohort study to derive and validate a clinical prediction rule to improve the targeting of antibiotics in children with respiratory tract illnesses
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wasabi.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
The TARGET cohort study protocol: a prospective primary care cohort study to derive and validate a clinical prediction rule to improve the targeting of antibiotics in children with respiratory tract illnesses
Creator
Little, Paul
Muir, Peter
Thompson, Matthew
Vipond, Barry
Christensen, Hannah
Davies, Rachel
Delaney, Brendan
Fletcher, Margaret
Thornton, Hannah
Blair, Peter
Hay, Alastair
Leeming, John
Lovering, Andrew
Peters, Tim
Redmond, Niamh
Source
Medline; PMC
abstract
BACKGROUND: Children with respiratory tract infections are the single most frequent patient group to make use of primary care health care resources. The use of antibiotics remains highly prevalent in young children, but can lead to antimicrobial resistance as well as reinforcing the idea that parents should re-consult for similar symptoms. One of the main drivers of indiscriminate antimicrobial use is the lack of evidence for, and therefore uncertainty regarding, which children are at risk of poor outcome. This paper describes the protocol for the TARGET cohort study, which aims to derive and validate a clinical prediction rule to identify children presenting to primary care with respiratory tract infections who are at risk of hospitalisation. METHODS/DESIGN: The TARGET cohort study is a large, multicentre prospective observational study aiming to recruit 8,300 children aged ≥3 months and <16 years presenting to primary care with a cough and respiratory tract infection symptoms from 4 study centres (Bristol, London, Oxford and Southampton). Following informed consent, symptoms, signs and demographics will be measured. In around a quarter of children from the Bristol centre, a single sweep, dual bacterial-viral throat swab will be taken and parents asked to complete a symptom diary until the child is completely well or for 28 days, whichever is sooner. A review of medical notes including clinical history, re-consultation and hospitalisations will be undertaken. Multivariable logistic regression will be used to identify the independent clinical predictors of hospitalisation as well as the prognostic significance of upper respiratory tract microbes. The clinical prediction rule will be internally validated using various methods including bootstrapping. DISCUSSION: The clinical prediction rule for hospitalisation has the potential to help identify a small group of children for hospitalisation and a much larger group where hospitalisation is very unlikely and antibiotic prescribing would be less warranted. This study will also be the largest natural history study to date of children presenting to primary care with acute cough and respiratory tract infections, and will provide important information on symptom duration, re-consultations and the microbiology of the upper respiratory tract.
has issue date
2013-08-17
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bibo:doi
10.1186/1472-6963-13-322
bibo:pmid
23958109
has license
cc-by
sha1sum (hex)
7f9e15b30bfa7b75a43c5d9febf1b6f71240f80b
schema:url
https://doi.org/10.1186/1472-6963-13-322
resource representing a document's title
The TARGET cohort study protocol: a prospective primary care cohort study to derive and validate a clinical prediction rule to improve the targeting of antibiotics in children with respiratory tract illnesses
has PubMed Central identifier
PMC3765099
has PubMed identifier
23958109
schema:publication
BMC Health Serv Res
resource representing a document's body
covid:7f9e15b30bfa7b75a43c5d9febf1b6f71240f80b#body_text
is
schema:about
of
named entity 'remains'
named entity 'RESPIRATORY TRACT INFECTIONS'
covid:arg/7f9e15b30bfa7b75a43c5d9febf1b6f71240f80b
named entity 'PARENTS'
named entity 'FREQUENT'
named entity 'EVIDENCE FOR'
named entity 'CHILDREN'
named entity 'GROUP'
named entity 'CLINICAL PREDICTION RULE'
named entity 'MAKE'
named entity 'ANTIBIOTICS'
named entity 'HOSPITALISATION'
named entity 'CONSULT'
named entity 'SYMPTOMS'
named entity 'ANTIMICROBIAL'
named entity 'SIMILAR'
named entity 'ANTIMICROBIAL RESISTANCE'
named entity 'MAIN'
named entity 'AIMS'
named entity 'LACK'
named entity 'CARE HEALTH'
named entity 'POOR OUTCOME'
named entity 'HEALTH CARE RESOURCES'
named entity 'RISK OF'
named entity 'LEAD'
named entity 'PRESENTING'
named entity 'COHORT STUDY'
named entity 'TO IDENTIFY'
named entity 'PATIENT'
named entity 'PROTOCOL'
named entity 'HIGHLY'
named entity 'USE'
named entity 'IDEA'
named entity 'ONE OF'
named entity 'UNCERTAINTY'
named entity 'BACKGROUND'
named entity 'PAPER'
named entity 'PRIMARY CARE'
named entity 'TARGET'
named entity 'INDISCRIMINATE'
named entity 'AT RISK'
named entity 'YOUNG CHILDREN'
named entity 'PREVALENT'
named entity 'SINGLE'
named entity 'OF EVIDENCE'
named entity 'USE OF'
named entity 'BUT'
named entity 'DRIVERS'
named entity 'lead'
named entity 'group'
named entity 'describes'
named entity 'antimicrobial'
named entity 'clinical prediction rule'
named entity 'lack of evidence'
named entity 'health care'
named entity 'Antimicrobial'
named entity 'asthma'
named entity 'prognosis'
named entity 'symptom'
named entity 'positive and negative predictive values'
named entity 'antimicrobial'
named entity 'Respiratory tract infections'
named entity 'London'
named entity 'intravenous fluids'
named entity 'validation dataset'
named entity 'signs and symptoms'
named entity 'splenectomy'
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