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Record W4384399078 · doi:10.3310/wdfr7331

The early use of Antibiotics for At-risk children with InfluEnza in Primary Care (the ARCHIE programme)

2023· article· en· W4384399078 on OpenAlexaboutno aff
Kay Wang, Sharon Tonner, Malcolm G. Semple, Jane Wolstenholme, Rafael Perera, Anthony Harnden

Bibliographic record

VenueProgramme Grants for Applied Research · 2023
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsnot available
FundersProgramme Grants for Applied ResearchDepartment of Health and Social CareNational Institute for Health and Care Research
KeywordsMedicinePsychological interventionFamily medicineIntervention (counseling)Clinical trialPediatricsNursingInternal medicine

Abstract

fetched live from OpenAlex

Background Influenza and influenza-like illness place significant burden on the NHS. Children with underlying health conditions are vulnerable to developing bacterial complications. Objective To strengthen the evidence base underlying antibiotic use in at-risk children with influenza-like illness. Design This programme comprised five separate work packages. Work package A investigated published and unpublished data from previously published literature and work package B explored attitudes of parents and general practitioners to influenza-like illness and antibiotics in at-risk children. This was followed by a clinical trial to assess the effectiveness of early co-amoxiclav (Augmentin ® , GlaxoSmithKline UK) use at reducing reconsultation due to clinical deterioration (work package C), a nested sub-study to examine bacterial carriage indicators of antibiotic resistance (work package D) and a within-trial economic evaluation and clinical risk prediction analysis (work package E). Setting Interviews were conducted by telephone with general practitioners across the UK and parents/guardians in England (work package B). We conducted the clinical trial (work package C and nested work packages D and E) in general practices and ambulatory care services in England and Wales. Participants General practitioners and parents/guardians of at-risk children who previously had influenza-like illness participated in work package B. At-risk children with influenza-like illness aged 6 months to 12 years participated in work packages C and E and optionally in work package D. Interventions The intervention for the clinical trial was a 5-day course of co-amoxiclav 400/57 with dosing regimens based on British National Formulary guidance. Main outcome measures Hospital admission (work package A); findings from semi-structured interviews with patients and health-care professionals (work package B); proportion of patients who reconsulted owing to clinical deterioration (work package C); respiratory bacterial carriage and antibiotic resistance of potentially pathogenic respiratory tract bacteria at 3, 6, 9 and 12 months (work package D); and risk factors for reconsultation owing to clinical deterioration, quality of life (EuroQol-5 Dimensions, three-level youth version), symptoms (Canadian Acute Respiratory Infection and Flu Scale), health-care use and costs (work package E). Review methods For work package A, we searched the MEDLINE, MEDLINE In-Process, EMBASE, Science Citation Index and CINAHL (Cumulative Index to Nursing and Allied Health Literature) databases until 3 April 2013 with no language restrictions and requested unpublished data from authors of studies which had collected but not published relevant data. We included studies involving children up to 18 years of age with influenza or influenza-like illness from primary or ambulatory care settings. We used univariable meta-analysis methods to calculate odds ratios with 95% confidence intervals for individual risk factors. We reported our systematic review according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2009 statement. Results Work package A analysed data from 28 articles reporting data from 27 studies. Neurological disorders, sickle cell disease, immunosuppression, diabetes and an age of <2 years were risk factors for hospital admission. Work package B interviewed 41 general practitioners and found that decision-making in at-risk children with influenza-like illness varies considerably. Parents/guardians were interviewed for work package B and spoke of how quickly their at-risk child could deteriorate. They were supportive of antibiotic use while being aware of antibiotic resistance. The trial (work package C) recruited 271 at-risk children. Primary outcome data were available for 265 children. There was no evidence of benefit from treatment with co-amoxiclav versus placebo (adjusted risk ratio 1.16, 95% confidence interval 0.75 to 1.80). Work package D collected 285 additional throat swabs over 12 months. At 3 months, the proportion of Haemophilus influenzae isolates was greater in the placebo than co-amoxiclav group (29% vs. 18%). No association was found between antibiotic resistance and early co-amoxiclav use. No clinical features were significantly associated with risk of reconsultation due to clinical deterioration except respiratory rate (coefficient 0.046, 95% confidence interval 0.010 to 0.081). Work package E found no evidence that early co-amoxiclav treatment improves quality of life or reduces health-care use and costs. Total costs per patient were highly skewed in both groups (co-amoxiclav: median £4, range £4–5258; placebo: median £0, range £0–5177). Limitations We were not able to recruit our target sample size for the trial. This impacted the data available for microbiology, health economics and risk reduction score analyses. Conclusions Our results do not support early antibiotic prescribing to at-risk children with influenza-like illness during influenza season. Future work Further research is required to determine if antibiotic treatment would be beneficial during periods of higher influenza activity such as influenza pandemics, to identify children who would gain most clinical benefit and to better understand families’ reconsultation decisions. Trial registration This trial is registered as ISRCTN70714783 and EudraCT 2013-002822-21. Funding This project was funded by the National Institute for Health and Care Research (NIHR) Programme Grants for Applied Research and will be published in full in Programme Grants for Applied Research ; Vol. 11, No. 1. See the NIHR Journals Library website for further project information.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.155
GPT teacher head0.399
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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