CovidResearchTrials by Shray Alag


CovidResearchTrials Covid 19 Research using Clinical Trials (Home Page)


HP:0006536: Obstructive lung diseaseHPO

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


Correlated Drug Terms (10)


Name (Synonyms) Correlation
drug1261 Sputum and blood sampling Wiki 0.45
drug443 Drug Isotretinoin (13 cis retinoic acid ) capsules+standard treatment Wiki 0.45
drug1514 allogeneic human dental pulp stem cells (BSH BTC & Utooth BTC) Wiki 0.45
drug707 Intravenous saline injection (Placebo) Wiki 0.45
drug171 Best Practice Wiki 0.45
drug713 Isotretinoin(Aerosolized 13 cis retinoic acid) +standard treatment Wiki 0.45
drug1242 Serology for Covid-19 Wiki 0.45
drug1302 Standard treatment Wiki 0.26
drug360 Convalescent Plasma Wiki 0.13
drug1402 Tocilizumab Wiki 0.10

Correlated MeSH Terms (19)


Name (Synonyms) Correlation
D008173 Lung Diseases, Obstructive NIH 0.91
D029424 Pulmonary Disease, Chronic Obstructive NIH 0.67
D018410 Pneumonia, Bacterial NIH 0.45
D008171 Lung Diseases, NIH 0.34
D003139 Common Cold NIH 0.32
D007676 Kidney Failure, Chronic NIH 0.26
D003324 Coronary Artery Disease NIH 0.26
D020521 Stroke NIH 0.20
D012120 Respiration Disorders NIH 0.16
D012140 Respiratory Tract Diseases NIH 0.13
D009369 Neoplasms, NIH 0.13
D011024 Pneumonia, Viral NIH 0.13
D002318 Cardiovascular Diseases NIH 0.11
D012141 Respiratory Tract Infections NIH 0.10
D011014 Pneumonia NIH 0.06
D007239 Infection NIH 0.06
D045169 Severe Acute Respiratory Syndrome NIH 0.05
D003141 Communicable Diseases NIH 0.04
D018352 Coronavirus Infections NIH 0.04

Correlated HPO Terms (8)


Name (Synonyms) Correlation
HP:0006510 Chronic obstructive pulmonary disease HPO 0.77
HP:0002088 Abnormal lung morphology HPO 0.37
HP:0001677 Coronary artery atherosclerosis HPO 0.26
HP:0001297 Stroke HPO 0.22
HP:0002664 Neoplasm HPO 0.13
HP:0001626 Abnormality of the cardiovascular system HPO 0.12
HP:0011947 Respiratory tract infection HPO 0.10
HP:0002090 Pneumonia HPO 0.07

There are 5 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 Time of Recovery and Prognostic Factors of COVID-19 Pneumonia

It has been reported that nearly half of the patients who are hospitalized for Covid-19 pneumonia have on admission old age or comorbidities. In particular, hypertension was present in 30% of the cases, diabetes in 19%, coronary heart disease in 8% and chronic obstructive lung disease in 3% of the patients. Amazingly, in the two major studies published in the Lancet (Zhou F et al Lancet 2020) and in the New England Journal of Medicine (Guan W et al 2020), the weight of the subjects as well their body mass index (BMI) were omitted. However, obesity, alone or in association with diabetes, can be a major predisposition factor for Covid-19 infection. The primary end-point of our prospective, observational study is to assess the recovery rate in patients with diagnosis of Covid-19 pneumonia. Among the other secondary end-points, we intend to find the predictors of the time to clinical improvement or hospital discharge in patients affected by Covid-19 pneumonia.

NCT04324684 Pneumonia, Viral Hypertension Diabetes Mellitus Obesity Cardiovascular Diseases Obstructive Lung Disease
MeSH:Pneumonia, Viral Pneumonia Lung Diseases Lung Diseases, Obstructive Cardiovascular Diseases
HPO:Abnormal lung morphology Abnormality of the cardiovascular system Obstructive lung disease Pneumonia

Primary Outcomes

Description: mean rate of recovery in patients with diagnosis of Covid-19 pneumonia, who present with complications at the time of hospital admission (such as diabetes, obesity, cardiovascular disease, hypertension or respiratory failure), with the mean recovery rate in patients without any of the above-mentioned complications.

Measure: rate of recovery

Time: 3 weeks

Secondary Outcomes

Description: comparison of the survival curves (times to improvement) in the two groups (patients with and without complications) and among patients presenting with different types of complications

Measure: time to improvement

Time: 3 weeks

Description: the efficacy of different pharmaceutical treatment against Covid-19

Measure: efficacy of treatments

Time: 3 weeks

Description: liver, kidney or multiorgan failure, cardiac failure

Measure: organ failure

Time: 3 weeks

3 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

4 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

5 Negative-PCR for Coronavirus Associated Pneumonia

Molecular testing (e.g PCR) of respiratory tract samples is the recommended method for the identification and laboratory confirmation of COVID-19 cases. Recent evidence reported that the diagnostic accuracy of many of the available RT-PCR tests for detecting SARS-CoV2 may be lower than optimal. Of course, the economical and clinical implications of diagnostic errors are of foremost significance and in case of infectious outbreaks, namely pandemics, the repercussions are amplified. False positives and false-negative results may jeopardize the health of a single patient and may affect the efficacy of containment of the outbreak and of public health policies. In particular, false-negative results contribute to the ongoing of the infection causing further spread of the virus within the community, masking also other potentially infected people.

NCT04387799 Pneumonia, Viral Pneumonia, Bacterial Coronavirus Infection Obstructive Lung Disease Diagnostic Test: Serology for Covid-19
MeSH:Pneumonia, Bacterial Coronavirus Infections Severe Acute Respiratory Syndrome Pneumonia, Viral Pneumonia Lung Diseases Lung Diseases, Obstructive
HPO:Abnormal lung morphology Obstructive lung disease Pneumonia

Primary Outcomes

Description: assess if inpatients who presented with pneumonia but had a negative test for Covid-19 are positive at the serology for SARS-CoV-2.

Measure: Serology

Time: 3 weeks

Secondary Outcomes

Description: to find if the combination of CT scan and serology could help us in the identification of those patients who were initially negative at laboratory testing alone.

Measure: Efficacy of CT scan and Serology

Time: 3 weeks

Description: the efficacy of different pharmaceutical treatments against Covid-19

Measure: Efficacy of different pharmaceutical treatments

Time: 3 weeks


HPO Nodes