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Clinical Evaluation of a Point of Care (POC) Assay to Identify Phenotypes in the Acute Respiratory Distress Syndrome

Active, not recruiting
Conditions
Acute Respiratory Distress Syndrome (ARDS)
Interventions
Diagnostic Test: POC Assay
Registration Number
NCT04009330
Lead Sponsor
Queen's University, Belfast
Brief Summary

Patients prospectively classified to the hyper-inflammatory ARDS phenotype on the basis of clinical characteristics and a novel POC biomarker assay will have worse clinical outcomes than the hypo-inflammatory phenotype.

Study Aim

The purpose of this project is to prospectively identify hyper- and hypo-inflammatory phenotypes in patients with ARDS and determine clinical outcomes associated with each phenotype.

The primary objective of this study is to assess the clinical outcomes in patients with ARDS according to their prospectively defined inflammatory phenotype determined using a POC assay.

Results of group allocation will be blinded to clinical and research staff until database lock.

Secondary Objectives

The secondary objectives of this study are to:

(i) Assess the agreement of the phenotype allocation using the POC assay and the clinical study dataset.

(ii) Assess the stability of phenotype allocation over time

(iii) To test feasibility of delivering a POC assay in the NHS intensive care setting.

Detailed Description

Acute respiratory distress syndrome (ARDS) is an inflammatory condition that results in severe respiratory failure and the need for mechanical ventilation. It is a syndrome with significant global burden and accounts for approximately 24% of mechanically ventilated patients in intensive care units. It is estimated to account for approximately 75000 deaths annually in the USA alone.

Despite decades of research, mortality due to ARDS remains high at 35-46%, with increasing mortality in patients with more severe lung injury. ARDS survivors have significant long term comorbidity with reduced quality of life even 5 years after disease resolution. Various pharmacological agents such as β2 agonists, statins, keratinocyte growth factor and aspirin have been investigated as potential therapies to prevent or treat ARDS, however to date there is no effective pharmacological therapy for ARDS and current treatment strategy is largely supportive.

One reason for the lack of specific pharmacological therapy is likely due to the clinical and biological heterogeneity. It is essential to rapidly identify patients with specific therapy responsive traits to improve our chance of identifying a specific therapy.

Rationale for the Study

ARDS phenotypes have different outcomes and response to therapy.

The clinical and biological heterogeneity in ARDS makes it essential to identify homogenous phenotypes when investigating potential therapies.

A retrospective analysis of the clinical and biological data-set collected as part of two large multicentre studies (ARMA and ALVEOLI) using latent class analysis has identified at least two ARDS phenotypes. Furthermore these two phenotypes could be differentiated using a parsimonious data-set including the presence of shock, metabolic acidosis and a higher inflammatory status (IL-6 and sTNFr1). The hyper-inflammatory phenotype demonstrated significantly worse outcomes when compared to the hypo-inflammatory phenotype with higher mortality and less ventilator free and organ failure free days. In the ALVEOLI study, where low PEEP was compared to high PEEP strategy, the two phenotypes demonstrated a differential response to PEEP suggesting the potential for using this phenotypic classification in identifying a therapy responsive trait.

In addition, in a secondary analysis of the HARP-2 study, a multicentre study investigating the potential of simvastatin as an anti-inflammatory therapy for ARDS, the presence of a hyper- and hypo-inflammatory phenotype was confirmed. The hyper-inflammatory phenotype had a higher 28 day mortality, fewer ventilator free days and organ failure free days. Survival of patients classified as hyper-inflammatory and randomised to simvastatin was improved.

Implementation of a precision medicine approach to identify patients with a therapy response trait is crucial to identify specific therapies to prevent or treat ARDS. Development of a Point of Care (POC) assay for IL-6 and sTNFr1 for prospective confirmation of the inflammatory phenotypes using the parsimonious data-set in patients with ARDS will support a precision medicine approach for this condition.

A POC assay will support precision medicine for ARDS

Studies that show no benefit from an intervention could occur as a result of a variety of reasons including a) the intervention was ineffective, b) the study design was poor or c) patient heterogeneity. Reduction of patient heterogeneity to identify patients with common biological processes will enable the selection of patients with a higher likelihood of therapy response in clinical studies. The identification and institution of therapy for critically ill patients with ARDS needs to occur rapidly in view of the nature of the disease and development of an accurate POC assay is likely to be an essential component in the discovery of effective therapies.

Recruitment & Eligibility

Status
ACTIVE_NOT_RECRUITING
Sex
All
Target Recruitment
480
Inclusion Criteria
  1. Patient is receiving mechanical ventilation or high flow nasal oxygen (HFNO)
  2. ARDS as defined by the Berlin definition (Ranieri et al.) a) Onset within 1 week of identified insult b) Within the same 24-hour time period: i. Hypoxic respiratory failure (PaO2/ FiO2 ratio ≤ 40kPa on PEEP ≥ 5 cmH20*) ii. Bilateral infiltrates consistent with pulmonary oedema not explained by another pulmonary pathology iii. Respiratory failure not fully explained by cardiac failure or fluid overload

The time of onset of ARDS is when the last ARDS criterion is met.

*PEEP assumed ≥ 5 cmH20 if on HFNO.

Exclusion Criteria
  1. Age <18 years of age
  2. More than 48 hrs after onset of ARDS
  3. Receiving ECMO at the time of recruitment
  4. Treatment withdrawal imminent within 24 hours
  5. DNAR (Do Not Attempt Resuscitation) order (excluding advance directives) in place
  6. Declined consent
  7. Prisoners

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Adults in the Intensive Care SettingPOC AssayAdults in the Intensive Care Setting
Primary Outcome Measures
NameTimeMethod
The primary outcome is mortality at 60 days in the hyper-inflammatory and hypo-inflammatory phenotypes in patients with ARDS.60 days

The primary outcome is mortality at 60 days in the hyper-inflammatory and hypo-inflammatory phenotypes in patients with ARDS.

Secondary Outcome Measures
NameTimeMethod
Difference in time to extubation60 days

Difference in time to extubation

Number of ventilator free days at day 2828 days

Number of ventilator free days at day 28

Number of days on ventilation60 days

Number of days on ventilation

Length of hospital stay60 days

Length of hospital stay

Frequency of assay technical failure rate will be used to determine the feasibility of delivering a POC assay in NHS intensive care setting.2 years

Frequency of assay technical failure rate will be used to determine the feasibility of delivering a POC assay in NHS intensive care setting.

Agreement of phenotype classification using a POC assay and the clinical study dataset.2 Years

Agreement of phenotype classification using a POC assay and the clinical study dataset.

Intubation rate in patients on HFNO60 days

Intubation rate in patients on HFNO

Reintubation Rate60 days

Reintubation Rate

Length of ICU stay60 days

Length of ICU stay

Mortality at day 2828 days

Mortality at day 28

Agreement of phenotype classification using a POC assay and standard laboratory based assays.Day 1 and day 3

Agreement of phenotype classification using a POC assay and standard laboratory based assays.

Agreement of phenotype classification between day 1 and day 3.Day 1 and Day 3

Agreement of phenotype classification between day 1 and day 3.

Trial Locations

Locations (22)

Manchester Royal Infirmary

🇬🇧

Manchester, England, United Kingdom

St Vincents Hospital

🇮🇪

Dublin, Ireland

Royal Cornwall Hospital

🇬🇧

Truro, England, United Kingdom

Edinburgh Royal Infirmary

🇬🇧

Edinburgh, Scotland, United Kingdom

Imperial College London

🇬🇧

London, United Kingdom

Royal Victoria Hospital

🇬🇧

Belfast, United Kingdom

Oxford University Hospitals

🇬🇧

Oxford, United Kingdom

Guys and St Thomas Hospital

🇬🇧

London, England, United Kingdom

Freemans Hospital

🇬🇧

Newcastle Upon Tyne, England, United Kingdom

University Hospital Birmingham

🇬🇧

Birmingham, England, United Kingdom

Wythenshawe Hospital

🇬🇧

Manchester, England, United Kingdom

Nottingham University Hospital

🇬🇧

Nottingham, England, United Kingdom

Royal Berkshire Hospital

🇬🇧

Reading, England, United Kingdom

Glasgow Royal Infirmary

🇬🇧

Glasgow, Scotland, United Kingdom

University College London

🇬🇧

London, England, United Kingdom

Kings College Hospital

🇬🇧

London, England, United Kingdom

Sunderland Royal

🇬🇧

Sunderland, England, United Kingdom

University Hospital of Wales

🇬🇧

Cardiff, Wales, United Kingdom

Birmingham Heartlands Hospital

🇬🇧

Birmingham, United Kingdom

Royal Blackburn Hospital

🇬🇧

Blackburn, England, United Kingdom

Royal Gwent Hospital

🇬🇧

Newport, Wales, United Kingdom

Royal Liverpool University Hospital

🇬🇧

Liverpool, England, United Kingdom

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