Development and internal validation of a clinical rule to improve antibiotic use in children presenting to primary care with acute respiratory tract infection and cough: a prognostic cohort study
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Published version
Author(s)
Type
Journal Article
Abstract
BACKGROUND: Antimicrobial resistance is a serious threat to public health, with most antibiotics prescribed in primary care. General practitioners (GPs) report defensive antibiotic prescribing to mitigate perceived risk of future hospital admission in children with respiratory tract infections. We developed a clinical rule aimed to reduce clinical uncertainty by stratifying risk of future hospital admission. METHODS: 8394 children aged between 3 months and 16 years presenting with acute cough (for ≤28 days) and respiratory tract infection were recruited to a prognostic cohort study from 247 general practitioner practices in England. Exposure variables included demographic characteristics, parent-reported symptoms, and physical examination signs. The outcome was hospital admission for respiratory tract infection within 30 days, collected using a structured, blinded review of medical records. FINDINGS: 8394 (100%) children were included in the analysis, with 78 (0·9%, 95% CI 0·7%-1·2%) admitted to hospital: 15 (19%) were admitted on the day of recruitment (day 1), 33 (42%) on days 2-7; and 30 (39%) on days 8-30. Seven characteristics were independently associated (p<0·01) with hospital admission: age <2 years, current asthma, illness duration of 3 days or less, parent-reported moderate or severe vomiting in the previous 24 h, parent-reported severe fever in the previous 24 h or a body temperature of 37·8°C or more at presentation, clinician-reported intercostal or subcostal recession, and clinician-reported wheeze on auscultation. The area under the receiver operating characteristic (AUROC) curve for the coefficient-based clinical rule was 0·82 (95% CI 0·77-0·87, bootstrap validated 0·81). Assigning one point per characteristic, a points-based clinical rule consisting of short illness, temperature, age, recession, wheeze, asthma, and vomiting (mnemonic STARWAVe; AUROC 0·81, 0·76-0·85) distinguished three hospital admission risk strata: very low (0·3%, 0·2-0·4%) with 1 point or less, normal (1·5%, 1·0-1·9%) with 2 or 3 points, and high (11·8%, 7·3-16·2%) with 4 points or more. INTERPRETATION: Clinical characteristics can distinguish children at very low, normal, and high risk of future hospital admission for respiratory tract infection and could be used to reduce antibiotic prescriptions in primary care for children at very low risk. FUNDING: National Institute for Health Research (NIHR).
Date Issued
2016-11-01
Date Acceptance
2016-07-15
Citation
Lancet Respiratory Medicine, 2016, 4 (11), pp.902-910
ISSN
2213-2600
Publisher
Elsevier
Start Page
902
End Page
910
Journal / Book Title
Lancet Respiratory Medicine
Volume
4
Issue
11
Copyright Statement
© The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/27594440
PII: S2213-2600(16)30223-5
Subjects
Adolescent
Anti-Bacterial Agents
Area Under Curve
Child
Child, Preschool
Cohort Studies
Cough
England
Female
Fever
Hospitalization
Humans
Infant
Male
Practice Guidelines as Topic
Practice Patterns, Physicians'
Primary Health Care
Prognosis
ROC Curve
Respiratory Tract Infections
Risk Assessment
Symptom Assessment
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2016-09-01