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Effectiveness of biomarker-based exclusion of ventilator-acquired pneumonia to reduce antibiotic use (VAPrapid-2): study protocol for a randomised controlled trial

  • Thomas P. Hellyer1Email author,
  • Niall H. Anderson2,
  • Jennie Parker3,
  • Paul Dark4,
  • Tina Van Den Broeck5,
  • Suveer Singh6,
  • Ronan McMullan7,
  • Ashley M. Agus8,
  • Lydia M. Emerson9,
  • Bronagh Blackwood9,
  • Savita Gossain10,
  • Tim S. Walsh11,
  • Gavin D. Perkins12,
  • Andrew Conway Morris13,
  • Daniel F. McAuley8, 9, 14 and
  • A. John Simpson1
Trials201617:318

https://doi.org/10.1186/s13063-016-1442-x

Received: 6 November 2015

Accepted: 24 June 2016

Published: 16 July 2016

The Erratum to this article has been published in Trials 2016 17:465

Abstract

Background

Ventilator-acquired pneumonia (VAP) is a common reason for antimicrobial therapy in the intensive care unit (ICU). Biomarker-based diagnostics could improve antimicrobial stewardship through rapid exclusion of VAP. Bronchoalveloar lavage (BAL) fluid biomarkers have previously been shown to allow the exclusion of VAP with high confidence.

Methods/Design

This is a prospective, multi-centre, randomised, controlled trial to determine whether a rapid biomarker-based exclusion of VAP results in fewer antibiotics and improved antimicrobial management. Patients with clinically suspected VAP undergo BAL, and VAP is confirmed by growth of a potential pathogen at > 104 colony-forming units per millilitre (CFU/ml). Patients are randomised 1:1, to either a ‘biomarker-guided recommendation on antibiotics’ in which BAL fluid is tested for IL-1β and IL-8 in addition to routine microbiology testing, or to ‘routine use of antibiotics’ in which BAL undergoes routine microbiology testing only. Clinical teams are blinded to intervention until 6 hours after randomisation, when biomarker results are reported to the clinician. The primary outcome is a change in the frequency distribution of antibiotic-free days (AFD) in the 7 days following BAL. Secondary outcome measures include antibiotic use at 14 and 28 days; ventilator-free days; 28-day mortality and ICU mortality; sequential organ failure assessment (SOFA) at days 3, 7 and 14; duration of stay in critical care and the hospital; antibiotic-associated infections; and antibiotic-resistant pathogen cultures up to hospital discharge, death or 56 days. A healthcare-resource-utilisation analysis will be calculated from the duration of critical care and hospital stay. In addition, safety data will be collected with respect to performing BAL. A sample size of 210 will be required to detect a clinically significant shift in the distribution of AFD towards more patients having fewer antibiotics and therefore more AFD.

Discussion

This trial will test whether a rapid biomarker-based exclusion of VAP results in rapid discontinuation of antibiotics and therefore improves antibiotic management in patients with suspected VAP.

Trial registration

ISRCTN65937227. Registered on 22 August 2013. ClinicalTrials.gov, NCT01972425. Registered on 24 October 2013.

Keywords

Ventilator-acquired pneumoniaBiomarkerAntibiotic stewardshipRandomised controlled trial

Background

Patients admitted to the intensive care unit (ICU) constitute a group vulnerable to healthcare-associated infection (HCAI), and consistent with that, antibiotic consumption in the ICU is considerably higher than in other hospital environments [1]. The growing global challenge of antimicrobial-resistance requires improved antibiotic stewardship. This judgment is, however, challenging in critically ill patients in whom clinical signs of infection are non-specific and where the consequences of missing a treatable infection may be significant.

Ventilator-acquired pneumonia (VAP) is a common ICU HCAI and highlights the challenges of antibiotic stewardship. Few clinical features have a specificity of greater than 60 % [24], and infection is confirmed in approximately 40 % of patients with suspected VAP [5]. The majority of patients with suspected VAP have antibiotics started at the point of clinical suspicion and de-escalation or discontinuation of antibiotics is possible after 2–3 days, when culture information becomes available. During this period, a significant proportion of patients will receive antibiotics that may not be indicated, and furthermore, if antibiotics are not discontinued in light of negative cultures, a full course of unnecessary antibiotics may be administered.

Addressing limitations in diagnostic methods for infections has the potential to improve antibiotic management by expediting the diagnostic process. Biomarkers of infection can act as rapid surrogate markers. In a recent multi-centre observational study [5], we validated the findings of a single-centre-derivation study [6, 7], showing that bronchoalveolar lavage (BAL) fluid biomarkers could form a reliable test to exclude VAP. Low concentrations of BAL fluid interleukin 1-beta (IL-1β) consistently have a strong negative predictive value (NPV) in both the derivation and validation cohorts. Furthermore, in the validation cohort, a combination of IL-1β and IL-8 could be used as a biomarker test to rule out VAP with high confidence, with a NPV of 1 and a post-test probability of 0 % (95 % confidence interval 0–9.2 %). These biomarkers are measured by cytometric bead array (CBA), which is a multi-plex, flow cytometric application that can be performed in approximately 6 hours, offering the potential for a rapid biomarker-based test in the ICU.

The aim of this randomised trial is to determine if, in adult patients with suspected VAP, the use of the additional rule-out biomarker test will improve antibiotic management and reduce antimicrobial use in comparison to decision making based on microbiology results alone.

Methods/Design

This protocol outlines a multi-centre, prospective, controlled trial in which patients with suspected VAP are randomised 1:1 to a rapid biomarker-rule-out test in addition to standard care, compared to standard care alone (clinical judgment plus standard microbiological culture). The primary outcome measure is antibiotic-free days (AFD) in the 7 days following BAL. This clinical trial adheres to the Consolidated Standards of Reporting Trials statement (Fig. 1) [8] and principles of Good Clinical Practice.
Fig. 1

Consolidated Standards of Reporting Trials (CONSORT) 2010 flow diagram

Study population

Participants are being recruited from the ICUs of 17 National Health Service (NHS) Trusts in the UK, for a total of 22 ICUs. These ICUs cover a broad case mix of medical, surgical and trauma patients, who are representative of current practice across the NHS.

Patients with suspected VAP who are at least 18 years of age, intubated and mechanically ventilated for 48 hours or more are considered eligible for inclusion in the trial. VAP is suspected based on the presence of a new or worsening chest X-ray or computed tomography (CT) changes consistent with pneumonia in the context of at least two of the following: temperature < 35 °C or > 38 °C; a white cell count of < 4 × 109 / L or > 11 × 109 / L; or purulent tracheal secretions [9]. Patients must also be considered suitable for early discontinuation of antibiotics by the clinical team (i.e. have no extra-pulmonary source of infection that mandates the use of continued antibiotics).

Patients are excluded on the basis of previously published criteria [10] that predict poor tolerance of the bronchoscopy and BAL that have been previously applied in our studies [5, 7]. These are: PaO2 < 8kPa on a FiO2 > 0.7; positive end-expiratory pressure of > 15 cm H2O; peak airway pressure > 35 cm H2O; heart rate > 140 beats per minute; mean arterial pressure < 65 mmHg; bleeding diathesis including platelet count < 20 × 109/L or international normalised ratio (INR) > 3; poorly controlled intracranial pressure (>20 mmHg); or ICU consultant deems the procedure not to be safe. Patients may only be randomised to the study once (i.e. they are excluded if they have had previous BAL as part of the study). Patients are also excluded if assent/consent is declined.

Co-enrolment is allowed with observational studies. Co-enrolment with interventional studies is allowed following consideration of any scientific or statistical interactions in accordance with current UK recommendations [11].

Biomarker assay and laboratory set up

The biomarker assay is performed in six NHS or university laboratories that act as testing ‘hubs’. Participating ICUs had to be within an expected travel time of 1.5 hours of a hub. BAL fluid samples are transported to the laboratory on ice immediately after sampling and measurement of BAL fluid IL-1β and IL-8 by cytometric bead array is performed with minimal delay on arrival. IL-1β and IL-8 are combined by logistic regression by the equation, established in the validation study [5]:
$$ -2.7385 + 1.4633 \times \log 10\left(1 + \mathrm{I}\mathrm{L}-1\upbeta \right)-0.2721 \times \log 10\left(1 + \mathrm{I}\mathrm{L}-8\right) $$

VAP is excluded if the regression output falls below a defined level (-1.7616).

All equipment, reagents and ongoing maintenance are supplied by the study’s industry partner, Becton Dickinson Biosciences (Franklin Lakes, NJ, USA). Each hub has been issued an Accuri C6 flow cytometer. This is a benchtop flow cytometer designed for its ease of use. The biomarker assay and all Accuri standard operating procedures (SOPs) have been designed such that they can be carried out by healthcare service laboratory technicians with limited flow cytometry experience. Centralised training in the biomarker assay and Accuri C6 was provided by investigators and scientists from Newcastle University and Becton Dickinson.

Accuri quality control tests are performed once a week by each hub, and these data are monitored by the flow cytometry core facility in Newcastle University. Technical support is provided by the investigators at Newcastle University and by Becton Dickinson.

Intervention

All patients enrolled in the trial have suspected VAP and undergo the same clinical procedures of bronchoscopy and BAL. The BAL is performed according to a previously described SOP [5].

Patients are randomised to have BAL samples analysed by either the biomarker test in addition to semi-quantitative culture (the intervention arm) or semi-quantitative cultures alone (the control arm). The intervention arm is referred to as the ‘biomarker-guided recommendation on antibiotics’ group and the control arm the ‘routine use of antibiotics’ group. All semi-quantitative cultures are performed in a NHS or Public Health England laboratory and handled by a SOP in accordance with the UK Standards for Microbiological Investigation [12]. VAP is confirmed by the widely used threshold of growth of a potential pathogen at > 104 colony-forming units per ml (CFU/ml) [13].

Biomarker results are reported to the clinical team by the technician using a standard script after approximately 6 hours. It is anticipated that all patients would have antibiotics started at the point of suspicion of VAP. In the event of a biomarker result that falls below the cut-off value, the clinical team is advised that VAP is excluded with high confidence and that early discontinuation of antibiotics is advised. If the biomarker value is above the threshold the clinical team is advised that VAP cannot be excluded and that standard care should continue.

Risk to participants

Patients enrolled in this trial are by definition critically unwell, and minimising the risk to these patients is of paramount importance. BAL is an established and widely used technique for sampling the alveolar regions in ICU patients [13, 14]. Not only do eligibility criteria exclude patients who would poorly tolerate a BAL, but patients can be excluded based on the clinicians’ judgment of the risk profile.

The second consideration of risk is around the early discontinuation of antibiotics. The risk exists that antibiotics may be incorrectly discontinued in the face of undetected infection (i.e. in the setting of a false negative biomarker test). The validation study demonstrated that the threshold for excluding VAP using BAL IL-1β and IL-8 had an NPV of 1 which gives confidence in the test’s performance, but with a 95 % confidence interval of 0.92–1.0 false negatives remaining possible. Decisions around antibiotic prescribing are not dictated by the trial protocol, and these ultimately remain at the discretion of the treating clinician. This allows the clinician to restart antibiotics if it is felt they were discontinued inappropriately. This minimises the risk to patients and also makes the trial more pragmatic, testing its use in ‘real life’ clinical practice.

Primary outcome and sample size

The primary outcome measure is the frequency distribution of AFD in the 7 days following BAL. This interval was used as this is the average reported duration of antibiotic therapy for suspected VAP in UK practice [15]. For the purposes of study design, AFD can be considered to be an integer value with patients in one of eight categories (0–7 AFD). Fewer days of antibiotic treatment will be detected as an increase in the proportion of patients with higher numbers of AFD and fewer patients having zero AFD. Antimicrobials delivered for prophylaxis will be excluded from analysis.

The sample size is based on the frequency distribution of AFD in the 7 days after BAL in our previous validation study. This baseline distribution of AFD showed a skew towards patients with suspected VAP having few or no AFD (with this effect manifest both in those with ultimately confirmed VAP and those in whom BAL microbiology did not confirm VAP). We modelled changes in the distribution of AFD from baseline to a distribution with more patients having higher numbers of AFD. Table 1 gives examples of the different frequency distributions and their effect sizes. We judged a distribution that equates to effect sizes above 0.07 would represent a clinically important difference. By way of illustration, this would be equivalent to a change from a baseline median of 0 AFD (interquartile range 0–2.5 AFD) to a median of 1.5 AFD (interquartile range 0–3.5 AFD) under biomarker-guided treatment. An effect size of 0.0797 requires 90 patients per trial arm and allowing for a 15 % drop out, the total sample size is 210. This outcome measure and effect size was presented for national stakeholder peer review and judged to be appropriate (UK Critical Care Research Forum, July 2013). Figure 2 illustrates the changes in the AFD distribution between baseline and model 3 from Table 1.
Table 1

Models of different frequency distribution of AFD. Standard care distribution is based on data obtained from our validation cohort. The different models demonstrate increasing shifts in the frequency distribution towards more AFD in the sample. These distributions are illustrative, and different proportions in each category could give the same effect size. AFD antibiotic-free days

 

Proportion of AFD (%)

  

0

1

2

3

4

5

6

7

N per arm

Effect size

Standard Care (from validation study)

55

10

10

5

5

5

5

5

  

Model 1

40

20

15

5

5

5

5

5

215

0.033

Model 2

35

20

15

10

5

5

5

5

138

0.052

Model 3

30

20

15

10

10

5

5

5

96

0.075

Model 4

25

20

20

10

10

5

5

5

68

0.106

Fig. 2

Graphical representation of the shift in distribution in antibiotic-free days (AFD) between baseline and model 3

Secondary outcome measures

Secondary outcome measures will include antibiotic days and AFD, expressed as continuous variables, at 7, 14 and 28 days; ventilator-free days at 28 days; 28-day mortality and ICU mortality; sequential organ failure assessment (SOFA) score at days 3, 7 and 14; duration of level 2 (high dependency unit) care, level 3 (intensive care unit) care and hospital stay; Clostridium difficile and MRSA infections up to hospital discharge, death or 56 days; and antibiotic-resistant pathogen cultures up to hospital discharge, death or 56 days. A healthcare-resource-utilisation analysis will be calculated from the duration of level 2 care, level 3 care and hospital stay up to discharge, death or 56 days.

Since this is a trial of a complex intervention, a process evaluation will be carried out in parallel with this trial. This will evaluate the process of conducting the trial and will aim to determine reasons for potential discrepancies in the expected and observed trial outcome, as well as providing information on the potential implementation of the intervention after trial completion. Additional files outline the detailed study protocol for the process evaluation (see Additional files 1 and 2).

Data collection

Data are collected on the day of enrolment (day 0); day 3; day 7; day 14; day 28; and date of discharge, death or at 56 days. Clinical data collected include the age, gender, date of admission to the hospital and ICU, reason for admission to the hospital and ICU, functional comorbidities index, acute physiology and chronic health evaluation (APACHE) 2 score at admission, SOFA score, time from MV to suspected VAP, and pathogens cultured from BAL.

Safety measures will be recorded relative to the bronchoscopy and BAL. These will include SaO2, heart rate, blood pressure and PaO2:FiO2. Biological data will include concentrations of IL-1β and IL-8 in the BAL fluid for patients who are randomised to the intervention arm.

Recruitment process and consent

All patients on the participating ICUs are screened on weekdays for eligibility. Potentially eligible patients are discussed with the ICU consultant to determine the appropriateness of early discontinuation of antibiotics and whether any other safety concerns are present that would exclude the patient.

Consent and assent procedures are in keeping with the legal framework of England, Northern Ireland (Mental Capacity Act, 2005) or Scotland (Adults with Incapacity (Scotland) Act, 2000) for consent/assent of adults without capacity. In England and Northern Ireland informed assent is obtained, where possible, following discussion with the patient’s next of kin (personal consultee). Where a personal consultee is unavailable, assent is provided by a nominated consultee, usually the ICU consultant, providing they are not also a member of the research team. In circumstances where the next of kin are unable to attend the ICU promptly, eliciting their opinion is possible by telephone to inform nominated assent.

In Scotland the patient’s relative or welfare attorney provides the informed consent. If the patient’s relative or welfare attorney is unable to attend the ICU, consent may be provided in a telephone conversation, providing a second member of staff witnesses the discussion.

Patients who recover capacity will be approached to provide retrospective informed consent. The decision as to whether that patient has regained capacity will reside with the treating team. The patient will be given sufficient time to consider the trial information before providing their consent to continued trial involvement.

Randomisation and blinding

Once consent/assent is obtained, the clinical team informs the laboratory technician who will perform the biomarker test, and the technician then initiates randomisation through the Newcastle Clinical Trials Unit (NCTU). Randomisation is performed using a web-based randomisation service. Patients are randomised to the intervention arm or control arm in a 1:1 ratio by permuted blocks of variable length and stratified by site. The randomisation service generates either an instruction that the patient is randomised to ‘biomarker-guided recommendation on antibiotics: analyse sample on arrival’ or to ‘routine use of antibiotics: do not analyse sample on arrival’. This message is emailed to the technician.

The clinical team is initially blinded to the trial arm since all trial procedures are performed in all participants. Unblinding occurs when the biomarker result is called back to the clinical team after approximately 6 hours. To ensure consistency in unblinding, after this period, the clinical team are also informed if the patient was randomised to the control arm. The technician contacts the clinical team with the results according to local arrangements, which include contacting the on-call ICU consultant, ICU resident or the local principal investigator.

Statistical analysis

Baseline clinical data will be compared between trial arms for balance using graphical and summary statistics appropriate for the data type of each variable. No formal tests of equality will be carried out. The primary outcome measure will be analysed by a chi-squared test on a 2 × 8 table of study arm versus AFD categories. Secondary outcome measures will be analysed by fitting appropriate generalised linear models with intervention and centre as covariates. Link functions will be determined by the type of outcome variable. A sub-group analysis for patients with trauma or head injury will be included as will a sub-group analysis based on clinician assessment of likelihood of VAP. Data analysis will be performed on an intention-to-treat basis, although other exploratory analyses including per-protocol analysis will be considered. A per-protocol analysis will be performed excluding patients who were randomised to the biomarker-guided recommendation on antibiotics arm, but who had a technical issue with the assay and therefore defaulted to standard care.

A within-trial cost analysis will be undertaken to assess the hospital resource use from the point of randomisation until hospital discharge or death, whichever occurs first, for a maximum of 56 days. Patient-level hospital resource use will be estimated from length of ICU stay and length of hospital stay. Multiple regression analyses will be performed to examine patient factors, which are potentially associated with costs. The robustness of the results will be evaluated using sensitivity analyses.

Monitoring and adverse event reporting

A Data Monitoring and Ethics Committee will have oversight of the trial. This is an independent body that has oversight of safety data. They will make recommendations to the sponsor as to whether the trial should progress, be modified or terminated.

NCTU will monitor adherence to the trial protocol and completeness of the data collection. Adverse events (AE) and serious adverse events (SAE) that occur within 2 hours of BAL are reported to NCTU. Site investigators are able to report an AE/SAE outside of this period if they feel an AE/SAE is related to the study.

Trial approvals, registration and status

Ethics approval for this trial has been granted by the National Research Ethics Service (England and Northern Ireland, Camberwell St Giles Committee, 13/LO/0651) and by the Scotland A Research Ethics Committee (13/SS/0074). Local research governance approval has been granted in the 17 NHS Trusts in which the trial is conducted: The Newcastle Upon Tyne NHS Foundation Trust; City Hospitals Sunderland NHS Foundation Trust; Heart of England NHS Foundation Trust; Salford Royal NHS Foundation Trust; Chelsea and Westminster NHS Foundation Trust; Lancashire Teaching Hospitals NHS Foundation Trust; Belfast Health and Social Care Trust; NHS Lothian; Countess of Chester NHS Foundation Trust; Northumbria Healthcare NHS Foundation Trust; University Hospitals Coventry and Warwickshire NHS Trust; Royal Liverpool and Broadgreen University Hospitals NHS Trust; Gateshead Health NHS Foundation Trust; Sandwell and West Birmingham Hospitals NHS Trusts; The Dudley Group of Hospitals NHS Foundation Trust; Central Manchester Hospitals NHS Foundation Trust; and South Tees Hospitals NHS Foundation Trust. The trial is registered on the ISRCTN registry (65937227) and on ClinicalTrials.gov (NCT01972425).

Discussion

Limitations in diagnostic techniques to correctly rule-in or rule-out infections results in many patients receiving unnecessary antibiotics. Successfully validating the use of BAL fluid IL-1β and IL-8 to exclude VAP has been a significant step forward for developing diagnostics in this area [5]. A rapid rule-out of VAP should allow for discontinuation of antibiotics on the day of suspicion of VAP and therefore improve antibiotic management. This randomised controlled trial aims to determine the clinical utility of a rapid biomarker-based test by measuring the antibiotic use, which is expressed as AFD, in the 7 days that follow BAL.

Few biomarkers are used in the ICU to guide antibiotic management, and none specifically for VAP. Due to the novelty of the biomarker and the conduct of this trial in a complex clinical environment, regular education and reinforcement of the trial protocol is necessary with participating sites. Furthermore, the trial methodology accommodates the complexity of the intervention by including elements such as the process evaluation.

This trial represents a potentially important step forward for novel diagnostics in the ICU. If effective in its primary outcome it could result in an important improvement in antimicrobial stewardship in this patient group. It also represents a challenging and complex trial of novel diagnostics in a difficult clinical space. The process of conducting this trial will provide valuable information to inform future trials.

Trial status

The trial is currently active in all participating sites. The first patient was recruited in December 2013, and the trial is due to complete in 2016.

Abbreviations

AE, adverse event; AFD, antibiotic-free days; APACHE, acute physiology and chronic health evaluation; BAL, bronchoalveolar lavage; CBA, cytometric bead array; CFU, colony-forming units; CT, computed tomography; HCAI, healthcare-associated infection; ICU, intensive care unit; IL-1β, interleukin-1 beta; IL-8, interleukin-8; MRSA, methicillin-resistant Staphylococcus aureus; NCTU, Newcastle Clinical Trials Unit; NHS, National Health Service; NPV, negative predictive value; SAE, serious adverse event; SOFA, sequential organ failure assessment; SOP, standard operating procedure; VAP, ventilator-acquired pneumonia

Notes

Declarations

Acknowledgements

This trial is supported by the Department of Health and Wellcome Trust through the Health Innovation Challenge Fund (www.hicfund.org.uk).

Becton Dickinson Biosciences is a co-applicant to the HICF project proposal and provides reagents and equipment for the biomarker analysis.

We would like to thank the Newcastle University flow cytometry core facility for their technical support in planning and training and in the use of the SOPs for the biomarker assay.

Authors’ contributions

AJS conceived, designed and obtained funding for the trial. AJS contributes to the management of the trial and drafted the manuscript. ACM contributed to the design of the trial and application for funding. TSW contributed to the design of the study and funding application. DFMcA contributed to the design of the study and the funding application. RMcM contributed to the design of the trial, funding application and planning the microbiological elements of the trial. GDP contributed to the trial design and funding application. TPH contributed to the trial design and to finalising the trial protocol; obtained regulatory approval; contributed to the statistical design; and contributed to the biomarker assay protocol development, management of the trial and drafting the manuscript. JP contributed to finalising the trial protocol, obtaining regulatory approvals and managing the trial. NHA led the statistical design of the study. PD contributed to the trial design. SS contributed to the trial design. AA provided expertise for health economic evaluation. LME contributed to the design of the process evaluation. BB contributed to the design of the process evaluation. SG contributed to the microbiological elements of the study. TvDB contributed to the development of the biomarker assay protocol. All authors contributed to and reviewed the final manuscript. All authors read and approved the final manuscript.

Authors’ information

TPH – Specialty Registrar Anaesthetics, Sunderland Royal Hospital, Sunderland, UK. PhD student, Institute of Cellular medicine, Newcastle University, Newcastle, UK.

NHA – Senior Lecturer in Medical Statistics, Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK.

JP – Trial Manager, Newcastle Clinical Trials Unit, Newcastle University, Newcastle upon Tyne, UK.

PD – Reader and Consultant in Critical Care Medicine, Institute of Inflammation and Repair, University of Manchester, Manchester Academic Health Sciences Centre & Intensive Care Unit, Salford Royal NHS Foundation Trust, Greater Manchester, UK.

TvDB – Scientist, Becton Dickinson Biosciences, Erembodegem (Aalst), Belgium.

SS – Honorary Clinical Senior Lecturer, Imperial College School of Medicine, London. Consultant and respiratory medicine and critical care, Chelsea and Westminster Hospital, Imperial College London, London, UK.

RMcM – Senior Lecturer and Consultant Microbiologist, Department of Medical Microbiology, Kelvin Building, The Royal Hospitals, Belfast, UK.

AA – Health Economist, Northern Ireland Clinical Trials Unit, Elliot Dynes Building, The Royal Hospitals, Belfast.

LME – MRC-HTMR Research Fellow, Centre for Experimental Medicine, Queen’s University Belfast, Belfast, UK.

BB – Senior Lecturer, Centre for Experimental Medicine, Queen’s University Belfast, Belfast, UK.

SG – Consultant Microbiologist, Public Health Laboratory, Heart of England NHS Foundation Trust, Border Ley Green East, Birmingham, UK.

TSW – Professor of Critical Care Medicine, MRC Centre for Inflammation Research, University of Edinburgh, Edinburgh, UK.

GDP – Professor of Critical Care Medicine, University of Warwick and Heart of England NHS Foundation Trust, Coventry, UK.

ACM – Academic Clinical Lecturer and Registrar in Anaesthesia and Intensive Care Medicine, Division of Anaesthesia, Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Cambridge Biomedical Campus, Cambridge, UK.

DFMcA – Professor of Critical Care Medicine, Centre for Experimental Medicine, Queen’s University Belfast, Belfast, UK; Consultant Intensivist, Regional Intensive Care Unit, Royal Victoria Hospital, Grosvenor Road, Belfast, UK.

AJS – Professor of Respiratory Medicine, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK; Consultant Respiratory Physician, Freeman Hospital, Newcastle, UK.

Competing interests

DFMcA has previously received personal fees from consultancy for GlaxoSmithKline and board membership for Orion. He has received grants from the UK NIHR, from the Technology Strategy Board, and his institution has received funds from GlaxoSmithKline for bronchoscopy undertaken as part of a clinical trial outside the submitted work.

AJS has previously received funds to attend scientific conferences (travel, accommodation and registration fees) from GlaxoSmithKline, Boehringer Ingelheim, AstraZeneca and Galecto Biotech. He has received fees for non-commercial presentations from GlaxoSmithKline. He has worked on non-commercial grants in which Becton Dickinson Biosciences are a commercial partner.

GDP is Director of Research for the Intensive Care Foundation and NIHR Senior Investigator.

ACM is a member of the advisory board for Serendex.

TPH, NHA, JP, PD, TvDB, SS, RMcM, AA, LME, BB, SG and TSW declare that they have no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Institute of Cellular Medicine, Newcastle University
(2)
Centre for Population Health Sciences, University of Edinburgh, Medical School
(3)
Newcastle Clinical Trials Unit, Newcastle University
(4)
Institute of Inflammation and Repair, University of Manchester, Manchester Academic Health Sciences Centre & Intensive Care Unit, Salford Royal NHS Foundation Trust
(5)
Becton Dickinson Biosciences
(6)
Intensive Care Unit, Chelsea and Westminster Hospital, Imperial College London
(7)
Department of Medical Microbiology, Kelvin Building, The Royal Hospitals
(8)
Northern Ireland Clinical Trials Unit, Elliot Dynes Building, The Royal Hospitals
(9)
Centre for Experimental Medicine, Queen’s University Belfast
(10)
Public Health Laboratory, Heart of England NHS Foundation Trust
(11)
MRC Centre for Inflammation Research, University of Edinburgh
(12)
University of Warwick and Heart of England NHS Foundation Trust
(13)
Division of Anaesthesia, Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Cambridge Biomedical Campus
(14)
Regional Intensive Care Unit, Royal Victoria Hospital

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