- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04571983
Influence of Reliance on Historical Blood Eosinophil Counts on ICS Prescribing by GOLD 2019 Thresholds in COPD (BECCOPD)
Blood eosinophils are a type of white blood cell that helps fight infection. They have a number of different functions but are primarily involved in numerous inflammatory processes. They are recruited from the blood into sites of inflammation.
In patients with COPD, higher blood eosinophil count (BEC) predicts a greater reduction in moderate and severe exacerbations in response to inhaled corticosteroid (ICS) therapy. The Global Initiative for Chronic Obstructive Lung Disease strategy (GOLD 2019) recommends the use of BEC to guide ICS therapy and states that eosinophil levels above 300 cells/μL can help identify responders, guiding initial dual therapy, with "little or no effect at a BEC < 100 cells/μL". The National Institute for Health and Care Excellence (NICE) COPD 2018 guideline states that a higher BEC is associated with ICS response, but does not specify a threshold. Earlier research studies have suggested that at lower levels of BEC the harm of ICS due to pneumonia is greater than the benefit of severe exacerbation reduction.
Patients with COPD can have "flare ups" of their disease known as exacerbations. Blood eosinophils play a critical role in assessing severity of these exacerbations and guiding management. The association between BEC and reduction in exacerbation frequency is based on BEC measured when the patient is clinically stable. Transient low eosinophil count (eosinopenia with BEC < 50 cells/μL) during severe exacerbation is extremely common. In the Dyspnoea, Eosinopenia, Consolidation, Acidaemia and atrial Fibrillation (DECAF) score derivation and validation studies combined, eosinopenia was present on admission in 1,340 of 2,645 severe exacerbations of COPD (ECOPD) and is associated with longer length of stay, higher in-hospital and one year mortality. Although eosinophilic COPD exacerbations occur, overall BEC during moderate or severe exacerbation is lower than stable state.
In ECOPD managed in critical care low BEC is associated with higher rate of septic shock and mortality. BEC are also suppressed during other acute illnesses, notably sepsis. Failure to recognise that BEC are often suppressed during acute illness compared to stable state may lead to ICS therapy being inappropriately withheld. The effect of exacerbation and other acute illnesses on eosinophils is under-appreciated. Both NICE and GOLD guidelines fail to mention whether BEC should be prospectively measured when patients are stable (reflecting RCT evidence), or if reliance on historical values is acceptable.
In routine practice some clinicians rely on previous BECs to avoid a delay in treatment decisions. A number of these historical counts will have been taken during illness, underestimating the patients' stable-state BEC. Conversely, COPD is associated with other medical conditions, and BEC may be requested for reasons other than acute illness. Using the highest BEC from multiple measures in the previous 24 months may therefore better agree with stable state counts.
The primary aim of this trial is to assess the reliability of using BEC over the preceding 24 months to assess COPD eosinophil phenotype at both GOLD thresholds. The primary outcome will be based on using the highest of at least three BEC. Secondary outcomes include a) the level of agreement between baseline stable state BEC and both mean and the highest BEC over the preceding 24 months, b) the influence of the number of BEC measures available and c) the effect of limiting the time frame from 24 months to the previous 12 months.
BEC is associated with disease severity, providing further evidence that COPD eosinophil phenotype may change over time. As an exploratory analysis, periods of sustained change in eosinophil phenotype will be sought, and the relationship between eosinophil phenotype and patient characteristics and certain medication will be assessed.
The investigators will also assess the relations between the dependent variables stable state absolute eosinophil and basophil counts and both eosinophil to basophil and neutrophil to lymphocyte ratios and the following clinical outcomes: a) moderate and severe exacerbations and b) mortality. Some of these variables have previously been shown to be related to disease severity and mortality.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
In patients with COPD, higher blood eosinophil count (BEC) predicts a greater reduction in moderate and severe exacerbations in response to inhaled corticosteroid (ICS) therapy. The Global Initiative for Chronic Obstructive Lung Disease strategy (GOLD 2019) recommends the use of BEC to guide ICS therapy and states that eosinophil levels above 300 cells/μL can help identify responders, guiding initial dual therapy, with "little or no effect at a BEC < 100 cells/μL". The National Institute for Health and Care Excellence (NICE) COPD 2018 guideline states that a higher BEC is associated with ICS response, but does not specify a threshold. An earlier post hoc risk-benefit analysis suggested that at lower levels of BEC the harm of ICS due to pneumonia is greater than the benefit of severe exacerbation reduction.
The association between BEC and reduction in exacerbation frequency is based on BEC measured when the patient is clinically stable. Transient eosinopenia (BEC < 50 cells/μL) during severe exacerbation is extremely common. In the Dyspnoea, Eosinopenia, Consolidation, Acidaemia and atrial Fibrillation (DECAF) score derivation and validation studies combined, eosinopenia was present on admission in 1,340 of 2,645 severe exacerbations of COPD (ECOPD) and is associated with longer length of stay (DECAF combined cohorts: median difference 1 day, p<0.001 unpublished data), and higher in-hospital and one year mortality. Although eosinophilic COPD exacerbations occur, overall BEC during moderate or severe exacerbation is lower than stable state. In ECOPD managed in critical care low BEC is associated with higher Acute Physiology, Age, Chronic Health Evaluation II (APACHE II) scores, rate of septic shock and mortality. BEC are also suppressed during other acute illnesses, notably sepsis. Failure to recognise that BEC are often suppressed during acute illness compared to stable state may lead to ICS therapy being inappropriately withheld. Regrettably, whilst the effect of eosinophils on exacerbation is well recognised, the effect of exacerbation and other acute illnesses on eosinophils is under- appreciated. Both NICE and GOLD fail to mention whether BEC should be prospectively measured when patients are stable (reflecting RCT evidence), or if reliance on historical values is acceptable.
In routine practice some clinicians rely on previous BECs to avoid a delay in treatment decisions. A number of these historical counts will have been taken during illness, underestimating the patients' stable-state BEC. Conversely, COPD is associated with multimorbidity, and BEC may be requested for reasons other than acute illness. Using the highest BEC from multiple measures in the previous 24 months may therefore better agree with stable state counts.
The primary aim of this trial is to assess the reliability of using BEC over the preceding 24 months to assess COPD eosinophil phenotype at both GOLD thresholds. The primary outcome will be based on using the highest of at least three BEC. Secondary outcomes include a) the level of agreement between baseline stable state BEC and both mean and the highest BEC over the preceding 24 months, b) the influence of the number of BEC measures available and c) the effect of limiting the time frame from 24 months to the previous 12 months.
Whilst BEC is relatively stable over weeks and months, agreement wanes over longer timeframes. BEC is also associated with disease severity, providing further evidence that COPD eosinophil phenotype may change over time. As an exploratory analysis, periods of sustained change in eosinophil phenotype will be sought, and the relationship between eosinophil phenotype and patient characteristics and medication (including prophylactic azithromycin) will be assessed. Recent work suggests that a low Eosinophil to Basophil ratio predicts exacerbation risk and mortality, whilst a high neutrophil to lymphocyte ratio is related to disease severity, exacerbations and mortality.
The investigators will also assess the relations between the dependent variables stable state absolute eosinophil and basophil counts and both eosinophil to basophil and neutrophil to lymphocyte ratios and the following clinical outcomes: a) moderate and severe exacerbations and b) mortality.
Importance to the NHS
This study will assess the variation in BEC measured during both stable state and acute illness in patients with COPD. The investigators anticipate that the results will help prevent inappropriate denial of ICS therapy due to reliance on BEC sampled when a patient is unwell.
Both NICE COPD guidelines and the GOLD strategy statement appropriately recommend that BEC should help direct ICS therapy in COPD, but fail to emphasise that the evidence supporting this advice is based solely on BEC measured when the patient is stable. BEC are suppressed during many acute illnesses, including severe exacerbations of COPD, and it is during these episodes that blood tests are most likely to taken. Reliance on BEC sampled during such episodes may lead to inappropriate denial of ICS therapy and increased risk of moderate and severe ECOPD.
- This study will determine whether the highest of at least three BEC measured over the preceding 24 months provides an acceptable level of agreement with stable state BEC in terms of ICS treatment choice. In a sensitivity analysis, the investigators will assess the influence of using mean rather than highest BEC, the number of BEC available, and timeframe on this outcome.
In the world of realistic medicine, ensuring a patient attends their GP practice or hospital clinic for measurement of BEC when they are stable, and then returns when the result is available before a treatment decision is made is unlikely to be achieved in most cases. However multiple previous BEC are often available, and some are likely to have been measured during recovery or taken at other times when the patient was stable. The clinical systems used in primary and secondary care allow all previous BEC available for a patient to be collated and displayed on screen simply by clicking on a single eosinophil measurement. The outcome of this study will inform clinicians of the level of certainty several historical BEC provide in regard to ICS treatment decisions.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Stephen Bourke, MBCHb, PhD
- Phone Number: +447900245608
- Email: Stephen.bourke@nhct.nhs.uk
Study Contact Backup
- Name: Arun Prasad, MBCHb
- Phone Number: +447875190808
- Email: arun-brahmanya.prasad@nhs.net
Study Locations
-
-
Tyne And Wear
-
North Shields, Tyne And Wear, United Kingdom, NE29 8NH
- Recruiting
- North Tyneside General Hospital
-
Contact:
- Stephen Bourke
- Phone Number: 32838 03448118111
- Email: stephen.bourke@northumbria-healthcare.nhs.uk
-
Contact:
- Arun Prasad
- Phone Number: 34266 03448118111
- Email: arun-brahmanya.prasad@nhs.net
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Physician confirmed COPD.
- Age 35 or older.
- Current or former smoker with 10+ pack years smoking history.
- FEV1 <80% with FEV1/(F)VC < 0.7.
- Three or more blood eosinophil counts performed within the last 24 months.
- Clinically stable at the time of the baseline assessment, with no exacerbations of COPD or oral prednisolone therapy within the last 4 weeks.*
Capacity to give informed consent to participate.
- The baseline assessment can be rescheduled for patients who do not meet the clinical stability criteria, provided they satisfy all other selection criteria.
Exclusion Criteria:
- Maintenance oral prednisolone or other systemic steroids, anti-interleukin-5 therapy or other medication known to suppress eosinophils.
- Active malignancy.
- Investigator confirmed history of asthma.†
- Parasitic infection, systemic fungal infection (excluding infection limited to nails or skin), eosinophilic granulomatosis with polyangiitis, hypereosinophilic syndrome or other conditions associated with a high eosinophil count.‡
Drug or alcohol problems which in the view of the primary investigatory may compromise the conduct and completion of the study.
Asthma and COPD may co-exist, but both conditions are also commonly misdiagnosed. Only patients who in the view of the investigator have asthma, and therefore should receive ICS therapy, will be excluded.
- Patients with atopic conditions such as allergic rhinitis, allergic conjunctivitis and eczema will be eligible.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
The agreement between the highest BEC within the previous 24 months and baseline stable-state BEC following dichotomisation into < 300 cells/μL and ≥ 300 cells/μL.
Time Frame: historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
The agreement between the highest BEC within the previous 24 months and baseline stable- state BEC following dichotomisation into < 100 cells/μL and ≥ 100 cells/μL.
Time Frame: historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
Comparison of agreement between a) the highest BEC within the previous 24 months and baseline stable-state BEC, and b) baseline and three month stable state BEC. This will be performed at both thresholds (100 and 300 cells/μL).
Time Frame: historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
Sensitivity analyses: a) the influence of using the mean rather than the highest BEC within the previous 24 months on agreement with baseline stable-state BEC; b) influence of number of available BEC measures over last 24 months on the level of agreement
Time Frame: historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
The agreement between both a) the highest BEC and b) the mean BEC within the previous 24 months and baseline stable-state using continuous data.
Time Frame: historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The rate of moderate and severe exacerbations will be compared with blood eosinophil count, both as a continuous measure and categorised by the GOLD 2019 treatment thresholds (BEC: 0-99; 100-299; 300+ cells/µL).
Time Frame: historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
|
Non-elective hospital admissions over the 36 month study period will be identified and categorised by primary diagnosis. Admission BEC will be reported, with and without adjustment for oral glucocorticoid therapy.
Time Frame: historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
|
An initial exploratory analysis will investigate changes in eosinophil count between patients at baseline and averaged over the follow up period. We will also look at changes over time across all patients, and the factors influencing this.
Time Frame: historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
The final part of the analysis will be a mixed model accounting for both within and between patient factors and their influence on each of the outcomes.
Key covariates of interest will include a) FeNO, b) smoking status (current and ex-smokers), c) age, d) FEV1, e) azithromycin therapy
|
historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
Association between the dependent variables: a) baseline eosinophil and basophil counts, b) eosinophil to basophil ratio, and c) neutrophil to lymphocyte ratio and the clinical outcomes: a) rate of moderate and severe exacerbations and b) mortality.
Time Frame: historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
historical eosinophil counts previous 24 months: prospective follow up for 3 months
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Stephen Bourke, MBCHb, PhD, Northumbria Healthcare NHS Foundation Trust
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- IRAS 285200
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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