Procalcitonin and Lung Ultrasonography Guided Antibiotherapy in Emergency Departments (PLUS-IS-LESS)

March 12, 2024 updated by: Dr Boillat-Blanco Noemie

Procalcitonin and Lung Ultrasonography Based Antibiotherapy in Patients With Lower Respiratory Tract Infection in Swiss Emergency Departments: Pragmatic Stepped-wedge Cluster-randomized Trial

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.

Study Overview

Status

Recruiting

Detailed Description

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

  1. To compare the quality of life (bothersomeness of CAP-related symptoms) on day 7, day 28 and day 90 between patients in the intervention and control groups.
  2. To evaluate the acceptability and feasibility of the intervention through the identification of barriers and facilitators in patients and physicians.
  3. To assess the incremental cost-effectiveness of the intervention as compared to usual care using a within-trial (short-term), and a model-based (long-term) economic evaluation.
  4. To develop an advanced automatic LUS image analysis method using machine learning to assist in LUS diagnosis and risk stratification.

Study Type

Interventional

Enrollment (Estimated)

1530

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • AG
      • Baden, AG, Switzerland, 5404
        • Recruiting
        • Cantonal hospital of Baden
        • Contact:
        • Principal Investigator:
          • Markus Schwendinger, MD
        • Sub-Investigator:
          • Tim Bulaty, MD
    • BS
      • Basel, BS, Switzerland, 4031
        • Recruiting
        • University Hospital of Basel
        • Contact:
        • Principal Investigator:
          • Roland Bingisser, MD
      • Liestal, BS, Switzerland, 4410
        • Recruiting
        • Kantonsspital Baselland
        • Contact:
        • Principal Investigator:
          • Jörg Leuppi, MD
        • Sub-Investigator:
          • Nicolas Geigy, MD
        • Sub-Investigator:
          • Stephan Steuer, MD
    • LU
      • Luzern, LU, Switzerland, 6000
        • Recruiting
        • Luzerner Kantonsspital
        • Contact:
        • Principal Investigator:
          • Michael Christ, MD
        • Sub-Investigator:
          • Adriana Sirova, MD
    • NE
      • Neuchâtel, NE, Switzerland, 2000
        • Recruiting
        • Réseau Hospitalier Neuchâtelois
        • Contact:
        • Principal Investigator:
          • Vincent Della Santa, MD
    • SG
      • Saint Gallen, SG, Switzerland, 9007
        • Recruiting
        • Cantonal Hospital of St. Gallen
        • Contact:
        • Principal Investigator:
          • Werner Albrich, MD
        • Sub-Investigator:
          • Dieter von Ow, MD
    • VD
      • Lausanne, VD, Switzerland, 1011
        • Recruiting
        • Centre Hospitalier Universitaire Vaudois (Chuv)
        • Contact:
        • Contact:
        • Principal Investigator:
          • Noémie Boillat Blanco, MD
        • Sub-Investigator:
          • Olivier Hugli, MD
        • Sub-Investigator:
          • Cécile Bessat
      • Payerne, VD, Switzerland, 1530
        • Recruiting
        • Hôpital Intercantonal de la Broye
        • Contact:
        • Principal Investigator:
          • Yvan Fournier, MD
      • Rennaz, VD, Switzerland, 1847

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Signed informed consent
  • Patients aged 18 years or more
  • Acute LRTI (acute illness, less than 21 days, with at least one lower respiratory tract symptom, i.e. cough, sputum, dyspnea, chest pain and no alternative explanation)
  • At least one of the following clinical criteria:

    • Focal abnormal auscultation (decreased breath sounds, crackles, bronchial breath sounds)
    • Fever (documented temperature ≥ 38°C in the last 24 hours, including self-measured temperature ≥ 38°C)
    • Tachypnea (respiratory rate ≥ 22/minute)
    • Tachycardia (heart rate ≥ 100/minute)

Exclusion Criteria:

  • Previous receipt of a quinolone, macrolide or ceftriaxone or, of more than one dose of any other antibiotic within 72h prior to enrolment (excepted prophylactic antibiotics or antibiotics given for urinary tract infection)
  • Previous hospital stay in the last 14 days
  • Cystic fibrosis
  • Severe COPD (≥GOLD 3 or if not available, as a proxy: exacerbation treated with antibiotics during the last 6 months)
  • Severe immunodeficiency (drug-induced neutropenia with <500 neutrophils/mm3, HIV infection with CD4<200 cells/mm3, solid organ or bone marrow transplant recipient, prednisone ≥ 20mg/day for >28 days)
  • Initial admission of the patient in the intensive care unit
  • Microbiologically-documented SARS-CoV-2
  • Incapacity of discernment

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Sequential Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: The PLUS algorithm

The PLUS clinical management algorithm:

EDs having switched to the intervention period (intervention group) will manage their patients using the PLUS algorithm.

The PLUS algorithm starts with a validated pneumonia clinical prediction score (score of Van Vugt), followed by LUS. In case of positive results of any of these tests, PCT is measured to identify patients who will most likely benefit from antibiotics. A validated clinical severity score will ensure the safety of the intervention in those with discordant results (LUS consolidation and low PCT).

Combination of a clinical prediction score and LUS, and if needed PCT measurement
Other: Usual care
Usual care: management as usual
Management as usual

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Safety outcome
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])
Day 28
Efficacy outcome
Time Frame: Day 28
Proportion of patients prescribed an antibiotic in each intervention group between enrolment and day 28
Day 28

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Quality of life measured with the community-acquired pneumonia symptom questionnaire
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)
Day 7, Day 28, Day 90
Hospitalisation
Time Frame: Day 0 to Day 90
Duration of hospitalisation
Day 0 to Day 90
Efficacy endpoint
Time Frame: Day 90
Proportion of patients prescribed an antibiotic in each study group between enrolment and day 28 as well as day 90.
Day 90
Antibiotic side effects and C. difficile infection
Time Frame: Day 0 to Day 28
Proportion of patients with antibiotic-related side effects and C. difficile infections in each study group.
Day 0 to Day 28
Emergency department stay
Time Frame: Day 0 to Day 28
Length of stay in the emergency department in each study group.
Day 0 to Day 28
Qualitative evaluation
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
Day 90
Machine learning of Lung ultrasonography (LUS) images and videos
Time Frame: Day 90
Diagnostic performance for pneumonia (sensitivity, specificity, AUROC) of artificial intelligence LUS interpretation using expert interpretation as gold standard
Day 90
Economic evaluation
Time Frame: Day 90
Cost of the intervention as compared to usual care
Day 90
Clinical gestalt
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
Day 0

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 5, 2022

Primary Completion (Estimated)

March 15, 2025

Study Completion (Estimated)

May 16, 2025

Study Registration Dates

First Submitted

July 8, 2022

First Submitted That Met QC Criteria

July 13, 2022

First Posted (Actual)

July 19, 2022

Study Record Updates

Last Update Posted (Actual)

March 13, 2024

Last Update Submitted That Met QC Criteria

March 12, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • PLUS-IS-LESS
  • SNSF 33IC30_201300 (Other Grant/Funding Number: SNSF)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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