COPD Clinical Trial
Official title:
Isolation of Circulating Pulmonary Cells in COPD and Its Relationship With Clinical Relevant Outcomes.
We have demonstrated for the very first time that it is possible to isolate CPCs (circulating
pulmonary cells) in patients with COPD in a sample of 17 patients (with a recovery rate of
nearly 40%) and none of 10 healthy, non- smokers controls with a patented method [provisional
Spanish Patent Application (P201730724)], based on liquid biopsy methodology (Romero Palacios
et at, submitted 2017), showing that patients with COPD and isolation of CPCs have a more
severe disease (expressed as higher BODEx index) and a trend towards a higher rate of decline
of lung function as well as an increased rate of exacerbations, suggesting that CPCs
isolation could be of value as a diagnostic and prognostic tool identifying patients with
more active diseases. However, due to the small sample, no definitive conclusions could be
made. Moreover, as there were no healthy smokers included in this study, we couldn´t evaluate
if CPCs could be isolated in this type of population.
The fact that CPCs could be isolated in a group of patients with COPD and its relationship
with greater severity suggests that this could be a marker of progression of the disease and
could detect those patients more likely to benefit from newer antiinflamatory therapies(17)
1. HYPOTHESIS 1.1. MAIN HYPOTHESIS.
- CPCs isolation is frequent in COPD patients and also (to a lower level) in smokers
without COPD but is not possible in healthy non-smokers.
- CPCs isolation is related to important clinical outcomes in COPD. 1.2. SECONDARY
HYPOTHESIS.
- CPCs isolation in COPD is related to a higher rate of decline of lung function,
measured by changes in FEV1 during a 3 year period.
- CPCs isolation in COPD is related to indirect measures of emphysema (DLCO and kCO).
- Isolation of CPCs in COPD patients is related to a higher risk of exacerbations
during follow- up.
- Isolation of CPCs in COPD is related to a higher burden of symptoms, measured by
standardized questionnaires as CAT (COPD Assessment Test) and mMRC (modified
Medical Research Council Scale).
- Isolation of CPCs in COPD is more frequent as disease progress to a more severe
disease.
- Isolation of CPCs in COPD is related to a higher extent of radiologic emphysema,
measured by %LAA (percentage of low attenuation areas).
2. OUTCOMES. 2.1. PRIMARY OUTCOME 2.1.1. To evaluate the prevalence of CPCs isolation in
peripheral blood from COPD patients, smoking and non-smoking healthy controls with a
patented liquid-biopsy technique.
2.2. SECONDARY OUTCOMES 2.2.1. To establish if there are differences between CPCs isolation
rates from COPD patients, smoking and non-smoking healthy controls 2.2.2. To evaluate the
relationship between CPCs isolation and the degree of parenchymal destruction and empyshema
expresed as DLCO and kCO.
2.2.3. To evaluate the relationship between CPCs isolation and emphysema degree expressed as
CT scan measurements (% LAA).
2.2.4. To evaluate the relationship between historical FEV1decline and CPCs isolation in COPD
patients.
2.2.5. To evaluate the relationship between prospective 1 year FEV1 decline and CPCs
isolation in COPD patients.
2.2.6. To evaluate the impact of CPCs isolation on deterioriation of HRQoL in COPD using CAT
scores at baseline and change from baseline during 1 year follow- up.
2.2.7. To evaluate the rate of moderate and severe exacerbations during 1-year follow up
between COPD patients with and without CPCs isolation after adjustment for confounding
variables 2.2.8. To evaluate the time to first moderate and severe exacerbation during 1-year
follow up between COPD patients with and without CPCs isolation after adjustment for
confounding variables.
2.2.9. To evaluate the rate of moderate and severe exacerbations during 1-year follow up
between subjects with and without CPCs isolation after adjustment for confounding variables
2.2.10. To evaluate if there are differences in the rate of CPCs isolation between those
patients with early onset COPD (defined as those with COPD before 60 years of age) and those
with normal onset COPD (defined as those with COPD after 60 years of age).
2.2.11. To evaluate the time to first moderate and severe exacerbation during 1-year follow
up between subjects with and without CPCs isolation after adjustment for confounding
variables 2.2.12. To evaluate the impact of CPCs isolation on deterioriation of HRQoL in
smoking subjects using CAT scores at baseline and change from baseline during 1 year follow-
up.
2.2.13. To evaluate the relationship between prospective 1 year FEV1 decline and CPCs
isolation in smoking and non-smoking controls. 3. MATERIAL AND METHODS 3.1. STUDY DESIGN This
study is designed as an observational, longitudinal study, with one-year follow up-
recruiting participants in a respiratory out patients office.
3.2. STUDY POPULATION. 3.2.1. Healthy non- smokers (n=20): adults aged more than 35
years-old, never smokers, without any significant respiratory disease.
3.2.2. Healthy smokers (n=30): adults aged ≥ 35 years- old, former or current smokers with an
smoking history of at least 10 pack- years, with normal lung function (FEV1/FVC >0.70 and
FEV1 and FVC > 80% predicted).
3.2.3. COPD patients (n=100): adults aged ≥ 35 years- old, former or current smokers with an
smoking history of at least 10 pack- years, with a 2 year previous COPD diagnosis (FEV1/FVC
postbronchodilatador < 0.7) and regular inhaled treatment.
3.3. INCLUSION & EXCLUSION CRITERIA: 3.3.1. Inclusion criteria 3.3.1.1. Adults of >35
years-old. 3.3.1.2. Patients who have given written informed consent 3.3.1.3. Absence of
respiratory infection or COPD exacerbation in the 4 previous weeks to baseline visit.
3.3.2. Exclusion criteria 3.3.2.1. Other respiratory condition apart from COPD, such as
previous diagnosis of bronchial asthma, obstructive sleep apnoea, idiopathic pulmonary
fibrosis, pulmonary tuberculosis, alpha1 antitrypsin deficiency.
3.3.2.2. Current or previous cancer history (even if the patient has been diagnosed >5 years
and there is no evidence of recurrence of disease).
3.3.2.3. Unwillingness to perform pulmonary function test or CT scan. 3.3.2.4. Participation
in another investigational study or clinical trial. 3.4. STUDY VARIABLES. 3.4.1. Demograhic
variables: demographic data on sex, age, anthropometric characteristics, ethnicity.
3.4.2. Toxic habits: tobacco consumption (expressed as pack-years), current or former smoker,
alcohol abuse history, drug abuse history.
3.4.3. Medical history: previous and concomitant diseases, age since diagnosis, history of
cardiovascular disease, history of metabolic syndrome, comorbidity indexes (Charlson index,
COTE index).
3.4.4. Pharmacology treatment: current oral pharmacological treatments (dose, frequency and
exposure history), current inhaled treatments (dose, frequency and exposure history)
classified as LAMA monotherapy, LABA monotherapy, ICS/LABA FDC, ICS/LABA non-FDC, LAMA/LABA
FDC, LAMA/LABA nonFDC, single triple therapy (ICS/LABA/LAMA FDC), splited triple therapy
(ICS/LABA plus LAMA), iPDE4.
3.4.5. Non- pharmacological treatment: oxygen use (daily hours, time since first
prescription, oxygen flow), non-invasive mechanical ventilation (daily use, time since first
prescription), pulmonary rehabilitation.
3.4.6. COPD variables: age at diagnosis, COPD phenotype (frequent exacerbator, chronic
bronchitis, emphysema- predominant, ACO), GOLD 2017 grade (A-B-C-D) severity of airflow
limitation (based on FEV1% predicted), severity of disease based on multidimensional scores
(BODE, BODEx indexes), lung function decline (from previous 2 years to end of one-year follow
up, expressed as annualized rate of decline of FEV1 in mL/yr).
3.4.7. COPD Exacerbations: moderate exacerbations are defined as a change in respiratory
symptoms that goes beyond the daily variation and needs systemic corticosteroids and/or
antibiotic prescription. Severe exacerbations are defined as a change in respiratory symptoms
that goes beyond the daily variation and needs hospital admission or ED for more than 24
hours.
3.4.8. Pulmonary function tests (PFTs):
- Spirometric measurements (FEV1 mL, FEV1% predicted, FVC mL, FVC% predicted, FEV1/FVC)
and post bronchodilator (∆ FEV1mL; ∆ FEV1%) after inhalation of 400 mcgr of salbutamol.
- Body-plettismography measurements: FRC (expressed as mL and % predicted), RV (expressed
as mL and % predicted), TLC (expressed as mL and % predicted) and RV/TLC ratio.
- Difussion capacity transfer for CO measurements : DLCO (expressed as absolute numbers
and % predicted), kCO (expressed as absolute numbers and % predicted).
3.4.9. Patient reported outcomes (PROs): CAT® score (COPD Assessment Test), mMRC dyspnoea
scale (modified Medical Research Council) 3.4.10. Imaging variables: a low-dose CT scan will
be performed in each of the participants in the healthy smokers group and COPD, in order to
determine the extent of the areas of emphysema (expressed as %LAA- percentage of
Low-attenuation areas) and the airway compartment (expressed ad %WA- width of airway wall).
3.4.11. Blood biomarkers: a peripheral blood collection sample will be obtained in each
participant in order to determine peripheral blood eosinophils (expressed as total eosinophil
count & percentage from total leucocyte count), peripheral PMN (expressed as total PMN count
& percentage from total leucocyte count), CPR (C- reactive protein) and fibrinogen.
3.4.12. CPCs isolation in peripheral blood: The CPCs isolation technique described above is
actually protected by a provisional Spanish Patent Application (P201730724)
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