Every year, thousands of critically ill patients in UK intensive care units are given powerful antifungal drugs for suspected *Candida* infections—but many of those patients never actually had a fungal infection. The A-Stop Study will test whether three rapid diagnostic tests (two PCR assays and a fungal antigen test) can accurately rule out invasive candidiasis within hours, rather than the days required by standard blood cultures. Currently, clinicians must start treatment blindly because waiting for culture results risks patient death from untreated sepsis. This leads to widespread overuse of antifungals, exposing patients to toxic side effects and driving drug resistance. The study will recruit 1,720 patients across 35 adult and paediatric ICUs, measuring how well each test—alone or in combination—identifies true infections. If a test or test combination proves accurate enough (with sensitivity above 90% and a negative predictive value above 99%), it could allow doctors to stop unnecessary antifungal treatment safely. The researchers will also model cost-effectiveness and patient risk preferences, laying the groundwork for a future randomised trial of a test-guided treatment protocol.
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DESIGN: Multicentre, prospective, diagnostic test accuracy study SETTING: 35 UK adult and paediatric ICUs. TARGET POPULATION: Critically-ill adults and children INCLUSION CRITERIA: Patients started empirically on systemic antifungal therapy for suspected Candida infection; age over 4 weeks EXCLUSIONS: Treatment with systemic antifungal for more than 24hr in the past 7 days; antifungal treatment for suspected non-Candida infection; neutropenia; BMT/acute leukaemia; proven invasive candidiasis in past 28 days. HEALTH TECHNOLOGIES: Two PCR tests that detect Candida species (Renishaw Diagnostics and T2 biosystems assays) and a fungal antigen test (beta-D-glucan, BDG). MEASUREMENT OF COSTS AND OUTCOMES: At enrolment, patients will have a blood sample taken that will be tested by conventional culture (forming part of the reference standard) and each of the three index tests being assessed; all samples will undergo all tests. The study primary outcome of diagnostic accuracy will be derived for each index test alone and in combination: sensitivity; specificity; positive/negative predictive values; and positive/negative likelihood ratios. This analysis will be conducted using an expert consensus definition for proven infection as the reference standard and then repeated using a combination of both this and the new consensus definition for probable infection (to take account of no perfect reference standard being available). A comparison of the primary outcome in subgroups of interest will be included. Data will be collected to measure the cost of care, including antifungal drug use, with follow-up until hospital discharge enabled by data linkage to the ICNARC case-mix programme. The number of patients receiving unnecessary antifungal treatment will be estimated and cost-utility analyses will be conducted. Recommendations for future research will focus on trialling a test-based protocol in a subsequent RCT. This protocol (using a single test or combination) will be based on the diagnostic accuracy metrics and clinical/cost-effectiveness modelling data we produce; physician and patient risk preferences will also contribute. SAMPLE SIZE: The sample size of 1720 gives 90% power to exclude the NPV being below 99%. Furthermore, this sample gives the study 97% power for producing a point estimate for sensitivity above 90% - a decisive threshold for clinicians. With an expected point sensitivity of 95% for the best index test (or combination), the 95% CI around this would be 88%-98.7% which reflects a degree of precision that is likely to be acceptable to clinicians. PROJECT TIMETABLE AND RECRUITMENT: 48 months comprising: 6-month set-up; 12-month internal pilot to confirm feasibility; a 24-month main recruitment period; and 6-months trial close down/analysis. Recruitment will average 1-2 patients per ICU per month and is achievable based on FIRE Study data with, on average, 4 eligible patients per ICU/month. TEAM EXPERTISE: Expertise includes: microbiologists experienced in trialling novel fungal diagnostic tests, particularly PCR; intensivists with experience of large clinical trials in ICU, including previous NIHR-funded studies; and a cost-effectiveness modeller with experience of NICE/HTA assessments. There is also input from ICNARC, experienced trials methodologists/statisticians, a UKCRC-registered CTU, and NIHR DEC, Newcastle.
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