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ASPIRE I: Supporting Antibiotic Stewardship in Primary Care Via POCT

Supporting Antibiotic Stewardship in Primary Care Via Point-of-care Testing (POCT) for Acute Respiratory Tract Infections

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06912022
Acronym
ASPIRE I
Enrollment
36
Registered
2025-04-04
Start date
2022-09-12
Completion date
2023-01-01
Last updated
2025-04-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Respiratory Infection

Brief summary

The ASPIRE study is an uncontrolled observational feasibility study, and a collaboration between the University of South Wales and Cwm Taf Morgannwg University Health Board (CTMUHB). The study is based at Ysbyty Cwm Rhondda (YCR) and Keir Hardy Primary Care (KHPC) centres, where participant recruitment will take place. Study participants will be invited to provide capillary blood samples (via finger prick sampling) for testing. The principal investigators are Dr Aled Davies at YCR and Dr Shyama Velupillai at KHPC. Upon clinical assessment, and after provision of consent, participants will undergo an ARI (acute respiratory infection) POC assay. This is a dual marker immunoassay designed to detect raised levels of C-reactive protein and MxA in capillary blood. The assay uses the sensitivity of CRP and specify of MxA to aid in the differentiation of ARI's in Primary Care. The POC assay results will be compared to the participants clinical outcomes and the physician directed treatment pathway via reviewing medical records and by contacting the patient from 14 days after their visit.

Detailed description

Antibiotic stewardship is fast becoming an essential measure to improve antibiotic prescribing by clinicians. Antibiotic stewardship not only presents a cost-effective strategy for the NHS but addressed the issue of antimicrobial resistance (AMR) and protects patients from harm caused by unnecessary antibiotic use. The economic costs of antibiotic resistance are largely unknown, but it is anticipated that with an increased number of cases, effects to the economy could be severe. Infections and infectious diseases cost England & Wales an estimated £30 billion a year, with many cases of acute respiratory infections (Chaplin, 2017). POC diagnostic tests in a clinical setting could give clinicians the ability to distinguish between microbial and viral infections, providing a more informed decision to antibiotic prescribing. The purpose of this study is to safely distinguish between bacterial or viral respiratory infections in a primary care setting using point of care (POC) testing to provide a retrospective insight as to whether clinical assessment of an acute respiratory infection (ARI) is justified. Upon clinical assessment, the current clinical practice prescribes antibiotics based on symptoms reported by the patient and a subjective review by the GP. This results in antibiotics being prescribed from an informed decision made by the clinician, based only from patient symptoms. The use of a dual marker immunoassay could guide informed decisions based on qualitative data and degree of infection using POC testing in Primary Care. The POC assay uses a dual marker immunoassay to differentiate between a viral and bacterial infection. C-reactive protein (CRP) is raised in the blood stream in response to inflammation. CRP can be elevated in viral infections, but generally the rise is to higher levels in bacterial infections, especially severe bacterial infections. Another blood protein, the MxA protein, is selectively increased in people with viral infections and therefore has the potential to greatly enhance the rapid distinction between viral and bacterial respiratory infections. NICE guidance from 2014 recommends the use of CRP POC test in the diagnosis and appropriate management of lower respiratory tract infections in adults aged 18 and over (excluding people with COPD) after clinical assessment whether antibiotics should be prescribed. The study POC assay data could be used as an effective tool alongside NICE guidelines to prescribe antibiotics based on CRP concentration where an infection may be viral. Recent clinical studies suggest the POC test is highly effective, yielding over 80% sensitivity and over 90% specificity when identifying bacterial and viral infections in adults (NICE, 2020).

Interventions

DEVICEFebriDx Device

Patients suspected of an acute respiratory infection were tested using the FebriDx POC assay.

Sponsors

Cwm Taf University Health Board (NHS)
CollaboratorOTHER_GOV
University of South Wales
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Subject \>18 years of age. * Having new onset symptoms suggestive of acute respiratory infection (ARI within 7 days of seeking care: runny nose, nasal congestion, sore throat, cough, hoarse voice, softness of breath) with or without fever.

Exclusion criteria

* Unable to provide informed consent. * Undergoing end of life care. * Immunocompromised or taking chemotherapy, oral steroids, or interferon. * Receiving a live vaccine in the last 14 days. * Taking antibiotics or antivirals in the last 14 days. * Patients that are systematically unwell or having symptoms that lasted more than 7 days\*.

Design outcomes

Primary

MeasureTime frameDescription
Concordance between FebriDx result and Clinician DecisionFeb 2023The level of agreement between the FebriDx classification (viral or bacterial) and the clinician's initial diagnostic impression and treatment decision (i.e. prescribe antibiotics or not).

Secondary

MeasureTime frameDescription
Sensitivity and Specificity of FebriDx vs.Clinical JudgementFeb 2023Sensitivity (true positive rate) and specificity (true negative rate) of FebriDx in identifying bacterial or viral infections, using clinical decision as reference.

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026