The PLUS algorithm
OtherCombination of a clinical prediction score and LUS, and if needed PCT measurement
NCT Number: NCT05463406
Acute respiratory infections are a common reason of attendance at emergency departments. It is also the main reason of unnecessary antibiotic prescription. Antibiotics save lives, but can also directly harm patients by causing antibiotic-associated adverse events. Antibiotic use is directly related to resistance, which is one of the major threats of our century. In addition, some microorganisms live in and on the human body and promote many aspects of our health. Antibiotic treatment can disturb those microorganisms and therefore have long-lasting negative effects on our health.
Unfortunately, it is difficult to differentiate between viral infections, which usually heal spontaneously, and bacterial pneumonia, which needs antibiotics treatment. This is one of the reasons of this over-prescribing of antibiotics.
This project aims to reduce widespread use of antibiotics in the emergency department through a new diagnostic strategy of bacterial pneumonia. This strategy includes sequential use of well-known techniques: a clinical score, lung ultrasound and finally a biomarker, procalcitonin. The latter tends to be higher in bacterial infections. The combination of these different tests improves the diagnostic process and allows improved use of targeted antibiotics, with the ultimate goal of better patient management.
The study will compare the antibiotic prescription rate and the clinical course of patients managed using this new diagnostic approach with those managed as usual. The project will also evaluate the acceptability and feasibility of this strategy and its cost-effectiveness. These two aspects are essential for a wider implementation of this innovative diagnostic approach and decrease antibiotic resistance.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Cantonal hospital of Baden, Baden, Canton of Aargau, Switzerland
Background Community-acquired lower respiratory tract infections (LRTI) are one of the most common motivations for emergency department (ED) consultations and stands as the leading cause of inappropriate antibiotic prescription. Besides the side effects, antibiotic overuse alters the microbiome and generates antibiotic resistance. When assessing patients with LRTIs, the challenge for ED physicians is to identify those with community-acquired pneumonia (CAP) of bacterial origin, who will most likely benefit from antibiotics. The low diagnostic accuracy of existing tools, as well as the poor adherence of clinicians to test guidance are leading causes of inappropriate antibiotic use.
Several diagnostic tests can assist in identifying patients with LRTI who require antibiotics. Clinical prediction score can refine the probability of CAP. Lung ultrasound (LUS) has a better diagnostic performance than chest X-ray, the historic reference imaging modality to consolidation in ED. LUS is performed quickly at the bedside without radiation. Procalcitonin (PCT) is a host inflammatory biomarker which tends to be higher in bacterial infections. PCT can be used safely to guide antibiotics use, while its impact on prescription is controversial. None of these tools on its own is sufficient to optimize antibiotic prescription, while a combined approach could better guide clinicians.
Rationale The investigators propose to evaluate the use of a decision support tool to guide antibiotics use in the ED as the summative value of LUS with PCT remains unknown in this setting.
Pragmatic stepped-wedge cluster-randomized controlled clinical trial investigating a new algorithm combining a clinical score, LUS and PCT results (The PLUS algorithm) for the management of LRTIs among adults in EDs. The unit of randomization will be the ED.
Primary safety objective To demonstrate non-inferiority of the intervention in terms of clinical failure by day 28.
Co-primary efficacy objective To show a 15% reduction in the proportion of patients with LRTIs prescribed an antibiotic by day 28 in the intervention group compared with the usual care group.
Secondary objectives
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Combination of a clinical prediction score and LUS, and if needed PCT measurement
Management as usual
Time frame: Day 28
Proportion of patients with clinical failure (defined as a composite of any of the following: death or secondary ICU admission or secondary admission to hospital or hospital re-admission after index hospital discharge or complications due to the LRTI [empyema, lung abscess])
Time frame: Day 28
Proportion of patients prescribed an antibiotic in each intervention group between enrolment and day 28
Time frame: Day 7, Day 28, Day 90
Number of points on the community-acquired pneumonia symptom questionnaire as a surrogate marker of quality of life (range 0 to 90; 90 beeing the worse quality of life)
Time frame: Day 0 to Day 90
Duration of hospitalisation
Time frame: Day 90
Proportion of patients prescribed an antibiotic in each study group between enrolment and day 28 as well as day 90.
Time frame: Day 0 to Day 28
Proportion of patients with antibiotic-related side effects and C. difficile infections in each study group.
Time frame: Day 0 to Day 28
Length of stay in the emergency department in each study group.
Time frame: Day 90
Acceptability and feasibility of the intervention through extensive identification of barriers and facilitators in patients and physicians conducting qualitative semi-structured interviews
Time frame: Day 90
Diagnostic performance for pneumonia (sensitivity, specificity, AUROC) of artificial intelligence LUS interpretation using expert interpretation as gold standard
Time frame: Day 90
Cost of the intervention as compared to usual care
Time frame: Day 0
Diagnostic performance (sensitivity, specificity, AUROC) of the "Clinical gestalt" of the physician in charge of the patient (probability of pneumonia low/intermediate versus high) versus Van Vugt score (1×absence of runny nose+1×breathlessness+1×crackles+1×diminished vesicular breathing+1×raised pulse (>100/min)+1×fever (temperature >37.8°C: probability of pneumonia low/intermediate (score 0-2 ) versus high (score>=3)) to predict LUS-visualized pneumonia
Dr Boillat-Blanco Noemie
Other
Procalcitonin and Lung Ultrasonography Based Antibiotherapy in Patients With Lower Respiratory Tract Infection in Swiss Emergency Departments: Pragmatic Stepped-wedge Cluster-randomized Trial
Acronym: PLUS-IS-LESS
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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