Antipyretic treatment for feverish young children in primary care

BMJ ◽  
2008 ◽  
Vol 337 (sep02 2) ◽  
pp. a1409-a1409 ◽  
Author(s):  
A. Harnden
PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 174A-174A
Author(s):  
Lucy Z. Garbus ◽  
Stephanie Carlin ◽  
Tinamarie Fioroni ◽  
Maude Aldridge ◽  
Zachary Goode ◽  
...  

2016 ◽  
Vol 20 (51) ◽  
pp. 1-294 ◽  
Author(s):  
Alastair D Hay ◽  
Kate Birnie ◽  
John Busby ◽  
Brendan Delaney ◽  
Harriet Downing ◽  
...  

BackgroundIt is not clear which young children presenting acutely unwell to primary care should be investigated for urinary tract infection (UTI) and whether or not dipstick testing should be used to inform antibiotic treatment.ObjectivesTo develop algorithms to accurately identify pre-school children in whom urine should be obtained; assess whether or not dipstick urinalysis provides additional diagnostic information; and model algorithm cost-effectiveness.DesignMulticentre, prospective diagnostic cohort study.Setting and participantsChildren < 5 years old presenting to primary care with an acute illness and/or new urinary symptoms.MethodsOne hundred and seven clinical characteristics (index tests) were recorded from the child’s past medical history, symptoms, physical examination signs and urine dipstick test. Prior to dipstick results clinician opinion of UTI likelihood (‘clinical diagnosis’) and urine sampling and treatment intentions (‘clinical judgement’) were recorded. All index tests were measured blind to the reference standard, defined as a pure or predominant uropathogen cultured at ≥ 105colony-forming units (CFU)/ml in a single research laboratory. Urine was collected by clean catch (preferred) or nappy pad. Index tests were sequentially evaluated in two groups, stratified by urine collection method: parent-reported symptoms with clinician-reported signs, and urine dipstick results. Diagnostic accuracy was quantified using area under receiver operating characteristic curve (AUROC) with 95% confidence interval (CI) and bootstrap-validated AUROC, and compared with the ‘clinician diagnosis’ AUROC. Decision-analytic models were used to identify optimal urine sampling strategy compared with ‘clinical judgement’.ResultsA total of 7163 children were recruited, of whom 50% were female and 49% were < 2 years old. Culture results were available for 5017 (70%); 2740 children provided clean-catch samples, 94% of whom were ≥ 2 years old, with 2.2% meeting the UTI definition. Among these, ‘clinical diagnosis’ correctly identified 46.6% of positive cultures, with 94.7% specificity and an AUROC of 0.77 (95% CI 0.71 to 0.83). Four symptoms, three signs and three dipstick results were independently associated with UTI with an AUROC (95% CI; bootstrap-validated AUROC) of 0.89 (0.85 to 0.95; validated 0.88) for symptoms and signs, increasing to 0.93 (0.90 to 0.97; validated 0.90) with dipstick results. Nappy pad samples were provided from the other 2277 children, of whom 82% were < 2 years old and 1.3% met the UTI definition. ‘Clinical diagnosis’ correctly identified 13.3% positive cultures, with 98.5% specificity and an AUROC of 0.63 (95% CI 0.53 to 0.72). Four symptoms and two dipstick results were independently associated with UTI, with an AUROC of 0.81 (0.72 to 0.90; validated 0.78) for symptoms, increasing to 0.87 (0.80 to 0.94; validated 0.82) with the dipstick findings. A high specificity threshold for the clean-catch model was more accurate and less costly than, and as effective as, clinical judgement. The additional diagnostic utility of dipstick testing was offset by its costs. The cost-effectiveness of the nappy pad model was not clear-cut.ConclusionsClinicians should prioritise the use of clean-catch sampling as symptoms and signs can cost-effectively improve the identification of UTI in young children where clean catch is possible. Dipstick testing can improve targeting of antibiotic treatment, but at a higher cost than waiting for a laboratory result. Future research is needed to distinguish pathogens from contaminants, assess the impact of the clean-catch algorithm on patient outcomes, and the cost-effectiveness of presumptive versus dipstick versus laboratory-guided antibiotic treatment.FundingThe National Institute for Health Research Health Technology Assessment programme.


2018 ◽  
Vol 68 (667) ◽  
pp. e90-e96 ◽  
Author(s):  
Megan Rose Williams ◽  
Giles Greene ◽  
Gurudutt Naik ◽  
Kathryn Hughes ◽  
Christopher C Butler ◽  
...  

BackgroundOveruse and inappropriate prescribing of antibiotics is driving antibiotic resistance. GPs often prescribe antibiotics for upper respiratory tract infections (URTIs) in young children despite their marginal beneficial effects.AimTo assess the quality of antibiotic prescribing for common infections in young children attending primary care and to investigate influencing factors.Design and settingAn observational, descriptive analysis, including children attending primary care sites in England and Wales.MethodThe Diagnosis of Urinary Tract infection in Young children study collected data on 7163 children aged <5 years, presenting to UK primary care with an acute illness (<28 days). Data were compared with the European Surveillance of Antimicrobial Consumption Network (ESAC-Net) disease-specific quality indicators to assess prescribing for URTIs, tonsillitis, and otitis media, against ESAC-Net proposed standards. Non-parametric trend tests and χ2tests assessed trends and differences in prescribing by level of deprivation, site type, and demographics.ResultsPrescribing rates fell within the recommendations for URTIs but exceeded the recommended limits for tonsillitis and otitis media. The proportion of children receiving the recommended antibiotic was below standards for URTIs and tonsillitis, but within the recommended limits for otitis media. Prescribing rates increased as the level of deprivation decreased for all infections (P<0.05), and increased as the age of the child increased for URTIs and tonsillitis (P<0.05). There were no other significant trends or differences.ConclusionThe quality of antibiotic prescribing in this study was mixed and highlights the scope for future improvements. There is a need to assess further the quality of disease-specific antibiotic prescribing in UK primary care settings using data representative of routine clinical practice.


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