CovidResearchTrials by Shray Alag


CovidResearchTrials Covid 19 Research using Clinical Trials (Home Page)


Report for D029424: Pulmonary Disease, Chronic Obstructive NIH

(Synonyms: Pulmonary D, Pulmonary Di, Pulmonary Dis, Pulmonary Dise, Pulmonary Disea, Pulmonary Diseas, Pulmonary Disease,, Pulmonary Disease,, Pulmonary Disease, C, Pulmonary Disease, Ch, Pulmonary Disease, Chro, Pulmonary Disease, Chroni, Pulmonary Disease, Chronic, Pulmonary Disease, Chronic, Pulmonary Disease, Chronic O, Pulmonary Disease, Chronic Ob, Pulmonary Disease, Chronic Obs, Pulmonary Disease, Chronic Obst, Pulmonary Disease, Chronic Obstr, Pulmonary Disease, Chronic Obstru, Pulmonary Disease, Chronic Obstruc, Pulmonary Disease, Chronic Obstructi, Pulmonary Disease, Chronic Obstructiv, Pulmonary Disease, Chronic Obstructive)

Developed by Shray Alag
Clinical Trial MeSH HPO Drug Gene SNP Protein Mutation


Correlated Drug Terms (13)


Name (Synonyms) Correlation
drug1261 Sputum and blood sampling Wiki 0.50
drug711 Isotonic saline 0.9% Wiki 0.50
drug443 Drug Isotretinoin (13 cis retinoic acid ) capsules+standard treatment Wiki 0.50
drug1061 Povidone-Iodine 0.5% Wiki 0.50
drug1514 allogeneic human dental pulp stem cells (BSH BTC & Utooth BTC) Wiki 0.50
drug707 Intravenous saline injection (Placebo) Wiki 0.50
drug1062 Povidone-Iodine 2% Wiki 0.50
drug171 Best Practice Wiki 0.50
drug713 Isotretinoin(Aerosolized 13 cis retinoic acid) +standard treatment Wiki 0.50
drug145 BCG vaccine Wiki 0.35
drug1302 Standard treatment Wiki 0.29
drug1402 Tocilizumab Wiki 0.11
drug1016 Placebo Wiki 0.04

Correlated MeSH Terms (16)


Name (Synonyms) Correlation
D008173 Lung Diseases, Obstructive NIH 0.82
D003139 Common Cold NIH 0.35
D006331 Heart Diseases NIH 0.35
D007676 Kidney Failure, Chronic NIH 0.29
D003327 Coronary Disease NIH 0.29
D003324 Coronary Artery Disease NIH 0.29
D020521 Stroke NIH 0.22
D012120 Respiration Disorders NIH 0.18
D012140 Respiratory Tract Diseases NIH 0.15
D009369 Neoplasms, NIH 0.14
D012141 Respiratory Tract Infections NIH 0.11
D007239 Infection NIH 0.10
D014777 Virus Diseases NIH 0.07
D045169 Severe Acute Respiratory Syndrome NIH 0.06
D003141 Communicable Diseases NIH 0.05
D018352 Coronavirus Infections NIH 0.05

Correlated HPO Terms (6)


Name (Synonyms) Correlation
HP:0006510 Chronic obstructive pulmonary disease HPO 0.87
HP:0006536 Obstructive lung disease HPO 0.67
HP:0001677 Coronary artery atherosclerosis HPO 0.29
HP:0001297 Stroke HPO 0.25
HP:0002664 Neoplasm HPO 0.15
HP:0011947 Respiratory tract infection HPO 0.11

There are 4 clinical trials

Clinical Trials


1 Occurrence of Potential Bacterial and Viral Pathogens in Stable Chronic Obstructive Pulmonary Disease (COPD) and During Acute Exacerbations of COPD (AECOPD), in Asia Pacific

Since the infectious aetiology of AECOPD has been suggested to vary according to geographical region, the primary purpose of this study (which will be conducted in several countries in Asia Pacific) is to evaluate the occurrence of bacterial and viral pathogens in the sputum of stable COPD patients and at the time of AECOPD. Given the increasing and projected burden of COPD in the Asia Pacific region, this study will also evaluate the frequency, severity and duration of AECOPD, as well as the impact of AECOPD on health-related quality of life (HRQOL), healthcare utilisation and lung function.

NCT03151395 Respiratory Disorders Other: Sputum and blood sampling
MeSH:Lung Diseases, Obstructive Pulmonary Disease, Chronic Obstructive Respiration Disorders Respiratory Tract Diseases
HPO:Chronic obstructive pulmonary disease Obstructive lung disease

Primary Outcomes

Description: Bacterial pathogens, as identified by bacteriological methods, including (but not necessarily limited to) Haemophilus influenzae, Moraxella catarrhalis, Streptococcus pneumoniae, Staphylococcus aureus, Pseudomonas aeruginosa, Klebsiella pneumoniae and Acinetobacter baumannii.

Measure: Occurrence of potential bacterial in sputum of stable COPD patients.

Time: Over the course of 1 year

Description: Bacterial pathogens, as identified by bacteriological methods, including (but not necessarily limited to) Haemophilus influenzae, Moraxella catarrhalis, Streptococcus pneumoniae, Staphylococcus aureus, Pseudomonas aeruginosa, Klebsiella pneumoniae and Acinetobacter baumannii.

Measure: Occurrence of potential bacterial in sputum during AECOPD.

Time: Over the course of 1 year

Description: Viral pathogens, as identified by PCR, including (but not necessarily limited to) Respiratory syncytial virus (RSV), parainfluenza virus, enterovirus/ rhinovirus, metapneumovirus, influenza virus, adenovirus, bocavirus and coronavirus and by rhinovirus quantitative RT-PCR.

Measure: Occurrence of viral pathogens in sputum of stable COPD patients.

Time: Over the course of 1 year

Description: Viral pathogens, as identified by PCR, including (but not necessarily limited to) Respiratory syncytial virus (RSV), parainfluenza virus, enterovirus/ rhinovirus, metapneumovirus, influenza virus, adenovirus, bocavirus and coronavirus and by rhinovirus quantitative RT-PCR.

Measure: Occurrence of viral pathogens in sputum during AECOPD.

Time: Over the course of 1 year

Secondary Outcomes

Description: Including (but not necessarily limited to) H. influenzae, M. catarrhalis, S. pneumoniae, S. aureus and P. aeruginosa. The proportion of sputum samples obtained at each confirmed stable/AECOPD visit and positive for specific bacterial pathogens by PCR will be computed with 95% confidence intervals.

Measure: Occurrence of potential bacterial pathogens in sputum of stable COPD patients and during AECOPD, as measured by real-time qualitative PCR/ quantitative PCR and compared to data from bacteriological methods.

Time: Over the course of 1 year

Description: The proportion of sputum samples obtained at each AECOPD visit and positive for specific bacterial/viral pathogens by bacteriological methods and PCR, respectively (overall and by bacterial/viral species) will be computed with 95% confidence intervals by any severity (mild, moderate and severe).

Measure: Occurrence of potential bacterial and viral pathogens (overall and by species) in sputum during AECOPD by severity of AECOPD.

Time: Over the course of 1 year

Description: The proportion of sputum samples obtained at each confirmed stable visit and positive for bacterial/viral pathogens by bacteriological methods and PCR, respectively (overall and by bacterial / viral species) will be computed with 95% confidence intervals by Gold grade at enrolment.

Measure: Occurrence of potential bacterial and viral pathogens (overall and by species) in sputum of stable COPD patients by GOLD grade.

Time: Over the course of 1 year

Description: The following incidence rates will be computed, with 95% confidence intervals (CI): All-cause AECOPD. AECOPD having sputum containing bacterial pathogens found by PCR or by bacteriological methods or by both methods (overall and by, but not limited to, the following bacterial species: H. influenzae, M. catarrhalis, S. pneumoniae, S. aureus, and P. aeruginosa). The 95% CI of the incidence rate will be computed using a model which accounts for repeated events. The incidence rates described above will also be computed for mild, moderate severe AECOPD and by GOLD grade at enrolment.

Measure: Incident rate (per subject per year) of any AECOPD overall and by GOLD grade.

Time: Over the course of 1 year

Description: Classification of severity according to the intensity of medical intervention required: mild: controlled with an increase in dosage of regular medications; moderate: requires treatment with systemic corticosteroids and/ or antibiotics; severe: requires hospitalisation.

Measure: Number of mild, moderate or severe AECOPD overall and by GOLD grade.

Time: Over the course of 1 year

Description: Descriptive statistics (median, mean, range, standard deviation, first and third quartiles) on the number of days of AECOPD episodes will be presented.

Measure: Number of days of AECOPD episodes overall and by AECOPD severity.

Time: Over the course of 1 year

Description: Descriptive statistics (median, mean, range, standard deviation, first and third quartiles) on the CAT scores will be tabulated at each respective visit.

Measure: COPD assessment test (CAT) score in stable COPD patients and during AECOPD.

Time: Over the course of 1 year

Description: Descriptive statistics (median, mean, range, standard deviation, first and third quartiles) on the SGRQ-C scores will be tabulated at each respective visit.

Measure: St. George's Respiratory Questionnaire (SGRQ-C) score in stable COPD patients.

Time: Over the course of 1 year

Description: The spirometric classification of airflow limitation in COPD patients is based on post-bronchodilator FEV1. Summary statistics (mean, median, standard deviation, maximum and minimum) on post bronchodilator FEV1% of predicted normal value will be tabulated at each respective visit.

Measure: Forced expiratory volume in 1 second (FEV1%) of predicted normal value in stable COPD patients.

Time: At Pre-Month 0 and Month 12

Description: Healthcare use for each COPD patient will be obtained through review of the subject's medical record (aided by subject self-reporting). Healthcare utilisation includes all unscheduled visits to a physician office, visits to urgent care, visits to emergency department, and hospitalizations.

Measure: Assessment of the Healthcare utilization.

Time: Over the course of 1 year

2 Audio Data Collection for Identification and Classification of Coughing

An open access study that will define and collect digital measures of coughing in multiple populations and public spaces using various means of audio data collection.

NCT04326309 COVID-19 Coronavirus Infections Hay Fever Asthma Chronic Obstructive Pulmonary Disease Influenza Common Cold Respiratory Tract Infections Healthy
MeSH:Infection Communicable Diseases Respiratory Tract Infections Coronavirus Infections Common Cold Severe Acute Respiratory Syndrome Lung Diseases, Obstructive Pulmonary Disease, Chronic Obstructive
HPO:Chronic obstructive pulmonary disease Obstructive lung disease Respiratory tract infection

Primary Outcomes

Description: Size of collected audio dataset measured as number of collected cough sounds, targeting ≥10,000 identified coughs.

Measure: Dataset size

Time: 14 days

Secondary Outcomes

Description: Identification of cough sounds by the existing mathematical model with ≥ 99% specificity and ≥ 60% sensitivity

Measure: Cough sound identification

Time: 14 days

Description: Increase in the sensitivity of the mathematical model to cough sounds to ≥ 70% while retaining the specificity of ≥ 99%

Measure: Improvement of the existing model

Time: 14 days

Description: Determination of the level of acceptance and satisfaction of the solution by patients by means of a Standard Usability Questionnaire to provide feedback. The score ranges from 10 to 50, higher score indicating a better usability.

Measure: Evaluate the usability of the application

Time: 14 days

3 Tociluzumab for Cytokine Release Syndrome With SARS-CoV-2: An Open-Labeled, Randomized Phase 3 Trial

This phase III trial compares the effect of adding tocilizumab to standard of care versus standard of care alone in treating cytokine release syndrome (CRS) in patients with SARS-CoV-2 infection. CRS is a potentially serious disorder caused by the release of an excessive amount of substance that is made by cells of the immune system (cytokines) as a response to viral infection. Tocilizumab is used to decrease the body's immune response. Adding tocilizumab to standard of care may work better in treating CRS in patients with SARS-CoV-2 infection compared to standard of care alone.

NCT04361552 Cerebrovascular Accident Chronic Obstructive Pulmonary Disease Chronic Renal Failure Coronary Artery Disease Diabetes Mellitus Malignant Neoplasm SARS Coronavirus 2 Infection Other: Best Practice Biological: Tocilizumab
MeSH:Infection Lung Diseases, Obstructive Pulmonary Disease, Chronic Obstructive Stroke Kidney Failure, Chronic Coronary Artery Disease Neoplasms
HPO:Chronic obstructive pulmonary disease Coronary artery atherosclerosis Neoplasm Obstructive lung disease Stroke

Primary Outcomes

Description: The 7-day length of invasive MV for each arm will be estimated with 95% confidence intervals (CIs) using the exact binomial distribution. Their difference by the arms will be tested by Cochran-Mantel-Haenszel (CMH) test stratified by the age group and Sequential Organ Failure Assessment (SOFA) score at significance level of 0.05.

Measure: 7-day length of invasive mechanical ventilation (MV)

Time: Up to 7 days

Description: Defined as death within 30-day after randomization. The 30-day mortality rate for each arm will be estimated with 95% CIs using the exact binomial distribution. Their difference by the arms will be tested CMH test stratified by the age group and SOFA score at significance level of 0.05.

Measure: 30-day mortality rate

Time: Up to 30-day after randomization

Secondary Outcomes

Description: The rate of ICU transfer for each arm will be estimated with 95% CIs using the exact binomial distribution. Their difference by the arms will be tested CMH test stratified by the age group and SOFA score at significance level of 0.05.

Measure: Rate of intensive care (ICU) transfer

Time: Up to 2 years

Description: The rate of invasive mechanical ventilation for each arm will be estimated with 95% CIs using the exact binomial distribution. Their difference by the arms will be tested CMH test stratified by the age group and SOFA score at significance level of 0.05.

Measure: Rate of invasive mechanical ventilation

Time: Up to 2 years

Description: The rate of tracheostomy for each arm will be estimated with 95% CIs using the exact binomial distribution. Their difference by the arms will be tested CMH test stratified by the age group and SOFA score at significance level of 0.05.

Measure: Rate of tracheostomy

Time: Up to 2 years

Description: Will first be described by median and inter-quartile, and then compared between two arms by Wilcoxon Sum-Rank test

Measure: Length of ICU stay

Time: Up to 2 years

Measure: Length of hospital stay

Time: Up 2 years

4 A Randomized Clinical Trial for Enhanced Trained Immune Responses Through Bacillus Calmette-Guérin Vaccination to Prevent Infections by COVID-19: The ACTIVATE II Trial

Based on findings of the interim analysis of the ACTIVATE study showing 53% decrease of the incidence of all new infections with BCG vaccination, a new trial is designed aiming to validate if BCG can protect against COVID-19 (Corona Virus Disease-19).The aim of the study is to demonstrate in a double-blind, placebo-controlled approach if vaccination of participants susceptible to COVID-19 with BCG vaccine may modulate their disease susceptibility for COVID-19. This will be validated using both clinical and immunological criteria.

NCT04414267 COVID-19 Virus Diseases Corona Virus Infection Coronary Heart Disease Chronic Obstructive Pulmonary Disease Biological: BCG vaccine Biological: Placebo
MeSH:Infection Coronavirus Infections Severe Acute Respiratory Syndrome Lung Diseases, Obstructive Pulmonary Disease, Chronic Obstructive Heart Diseases Coronary Disease Virus Diseases
HPO:Chronic obstructive pulmonary disease Obstructive lung disease

Primary Outcomes

Description: This is set on visit 3 (90 ± 5 days from the date of visit 1). The two groups of vaccination are compared for the primary endpoints which is composite. Patients who meet any of the following will be considered to meet the primary endpoint: Positive for the respiratory questionnaire endpoint when at least one of the following combination is met either at visit 2 and/or at visit 3: One situation definitively related to COVID-19 All four questions of symptoms possibly related to COVID-19 At least two questions of symptoms possibly related to COVID-19 as well as need for admission at the emergency department of any hospital and/or need for intake of antibiotics At least four questions of symptoms probably related to COVID-19 one of which is "need for admission at the emergency department of any hospital and/or need for intake of antibiotics" Positive IgG or IgM antibodies against SARS-CoV-2

Measure: Positive for the respiratory questionnaire consisted of questions concerning the appearance of symptoms possibly, probably and/or definitively related to COVID-19 on visit 3.

Time: Visit 3 (90 +/- 5 days)

Secondary Outcomes

Description: The two groups of vaccination are compared for the primary endpoints which is composite (as defined at primary study endpoint) and meet a positive respiratory questionnaire endpoint on visit 4

Measure: Positive respiratory questionnaire endpoint consisted of questions concerning the appearance of symptoms possibly, probably and/or definitively related to COVID-19 on visit 4

Time: Visit 4 (135 +/- 5 days)

Description: The two groups of vaccination are compared for the primary endpoints which is composite (as defined at primary study endpoint) and meet a positive respiratory questionnaire endpoint (as defined at primary study endpoint) on visit 5

Measure: Positive respiratory questionnaire endpoint consisted of questions concerning the appearance of symptoms possibly, probably and/or definitively related to COVID-19 on visit 5

Time: Visit 5 (180 +/- 5 days)

Description: Prevalence of IgG/IgM against SARS-CoV-2 will be measured among the patients who failed the eligibility procedure and the patients that were eligible and were enrolled

Measure: Prevalence of IgG/IgM against SARS-CoV-2

Time: Screening Visit and Visit 3 (90 +/- 5 days)

Description: Itemized analysis of each of the components of the respiratory questionnaire on each study visit

Measure: Analysis of each of the components of the respiratory questionnaire consisted of questions concerning the appearance of symptoms possibly, probably and/or definitively related to COVID-19.

Time: Visit 2 (45 +/- 5 days), Visit 3 (90 +/- 5 days), Visit 4 (135 +/- 5 days), Visit 5 (180 +/- 5 days)


HPO Nodes