Name (Synonyms) | Correlation | |
---|---|---|
drug328 | Guided online support program Wiki | 0.38 |
drug166 | CYNK-001 Wiki | 0.38 |
drug465 | Linagliptin 5 MG Wiki | 0.38 |
drug834 | Tests Wiki | 0.38 |
drug283 | End tidal breath sample Wiki | 0.38 |
drug135 | Breath test Wiki | 0.38 |
drug881 | Urine sample Wiki | 0.38 |
drug377 | Hydroxychloroquine Sulfate + Azithromycin Wiki | 0.38 |
drug758 | Sputum sample Wiki | 0.38 |
drug904 | WHO recommendations (waiting condition) Wiki | 0.38 |
drug9 | 1: Usual practice Wiki | 0.38 |
drug15 | 2: Usual practice + SYMBICORT RAPIHALER Wiki | 0.38 |
drug757 | Sputum and blood sampling Wiki | 0.38 |
drug249 | Data collection Wiki | 0.27 |
drug540 | Nasopharyngeal swab Wiki | 0.27 |
drug132 | Blood sample Wiki | 0.22 |
drug375 | Hydroxychloroquine Sulfate Wiki | 0.12 |
Name (Synonyms) | Correlation | |
---|---|---|
D012120 | Respiration Disorders NIH | 0.76 |
D008659 | Metabolic Diseases NIH | 0.38 |
D004700 | Endocrine System Diseases NIH | 0.38 |
D007154 | Immune System Diseases NIH | 0.38 |
D044882 | Glucose Metabolism Disorders NIH | 0.38 |
D030341 | Nidovirales Infections NIH | 0.27 |
D012327 | RNA Virus Infections NIH | 0.27 |
D003333 | Coronaviridae Infections NIH | 0.22 |
D029424 | Pulmonary Disease, Chronic Obstructive NIH | 0.22 |
D003924 | Diabetes Mellitus, Type 2 NIH | 0.22 |
D003920 | Diabetes Mellitus, NIH | 0.22 |
D008173 | Lung Diseases, Obstructive NIH | 0.19 |
D008171 | Lung Diseases, NIH | 0.19 |
D012141 | Respiratory Tract Infections NIH | 0.10 |
D003141 | Communicable Diseases NIH | 0.09 |
D014777 | Virus Diseases NIH | 0.08 |
D011024 | Pneumonia, Viral NIH | 0.06 |
D011014 | Pneumonia NIH | 0.06 |
D007239 | Infection NIH | 0.06 |
D045169 | Severe Acute Respiratory Syndrome NIH | 0.05 |
D018352 | Coronavirus Infections NIH | 0.04 |
Name (Synonyms) | Correlation | |
---|---|---|
HP:0006536 | Obstructive lung disease HPO | 0.38 |
HP:0006510 | Chronic obstructive pulmonary disease HPO | 0.38 |
There are 7 clinical trials
The aim of this study is to generate epidemiological data to further explore determinants of Chronic Obstructive Pulmonary Disease (COPD) and the contribution of bacterial and viral pathogens to Acute Exacerbation of COPD (AECOPD) episodes.
Description: An Acute Exacerbation in a COPD patient is an event in the natural course of the disease characterized by a change in the patient's baseline dyspnea, cough, and/or sputum production and beyond normal day to day variations, that is acute in onset and may warrant a change in regular medication in a patient with underlying COPD The Means and Confidence Intervals (CI) were estimated using the Negative Binomial model taking into account time to follow up. Estimated exacerbations were presented as mean number of exacerbations per (/) subject/ year.
Measure: Mean Estimated Number of Acute Exacerbation of COPD (AECOPD) Time: During year 1Description: Bacterial pathogens assessed were: Haemophilus influenzae (Hi), Moraxella catarrhalis (Mcat), Steptococcus pneumoniae (Sp), Staphylococcus Aureus (Sta), Pseudomonas aeruginosa (Psa), any or other. For each bacteria, the means and CIs were estimated from Negative Binomial model taking into account the follow up time.Estimated exacerbations were presented as mean number of exacerbations/ subject/ year.
Measure: Mean Estimated Number of AECOPD With Sputum Containing Bacterial Pathogens Time: During Year 1Description: Bacterial pathogens assessed, by culture, were: Haemophilus influenzae (Hi), Moraxella catarrhalis (Mcat), Streptococcus pneumoniae (Sp), Staphylococcus aureus (Sta), Pseudomonas aeruginosa (Psa), any bacteria or other bacteria. Overall exacerbation rate is the average number of exacerbations for each subject during their time in the study.
Measure: Overall AECOPD Exacerbation Rate for Any and Specific Bacterial Pathogens in Sputum Time: During Year 1Description: Sputum samples were tested by bacterial species (any bacteria, Hi, Mcat, Sp, Sta, Psa and other bacteria), or overall and were obtained from culture at each visit (enrollment, any stable visit, any exacerbation visit, any mild exacerbation visit, any moderate exacerbation visit, any severe exacerbation visit). This endpoint presents results for any bacteria and Hi.
Measure: Number of Sputum Samples Positive for Specific Pathogens - Any Bacteria and Hi Time: During Year 1Description: Sputum samples were tested by bacterial species (any bacteria, Hi, Mcat, Sp, Sta, Psa and other bacteria), or overall and were obtained from culture at each visit (enrollment, any stable visit, any exacerbation visit, any mild exacerbation visit, any moderate exacerbation visit, any severe exacerbation visit). This endpoint presents results for Mcat and Sp.
Measure: Number of Sputum Samples Positive for Specific Pathogens - Mcat and Sp Time: During Year 1Description: Sputum samples were tested by bacterial species (any bacteria, Hi, Mcat, Sp, Sta, Psa and other bacteria), or overall and were obtained from culture at each visit (enrollment, any stable visit, any exacerbation visit, any mild exacerbation visit, any moderate exacerbation visit, any severe exacerbation visit). This endpoint presents results for Sta, Psa and other bacteria.
Measure: Number of Sputum Samples Positive for Specific Pathogens - Sta, Psa and Other Bacteria Time: During Year 1Description: The number of days between 2 consecutive exacerbations, as estimated by the investigator, was calculated only whenever the first exacerbation had an end date.
Measure: Mean Number of Days Between 2 Consecutive AECOPDs Time: During Year 1Description: The exacerbations of chronic pulmonary disease tool version 1.0 (EXACT) is a validated self-administered instrument that evaluates the effects of pharmacologic treatment on acute exacerbations of COPD. Analyses of exacerbations in relation to morning or evening EXACT-PRO e-diaries were presented as follows: descriptive statistics on the EXACT daily scores tabulated at enrolment, at any stable and at any, mild, moderate or severe exacerbation visit. EXACT-PRO contains 14 questions with scores ranging from 0 to 4, where 0= best outcome while 4= worse outcome.
Measure: Change From Baseline EXAcerbations of Chronic Pulmonary Disease Tool (EXACT) Scores at Enrollment and Any AECOPD Visit Time: During Year 1Description: The COPD assessment test (CAT) is a validated self-administered instrument designed to provide a simple and reliable measure of health status in COPD patients. Its properties have been shown to be similar to the St George's respiratory questionnaire (SGRQ). The CAT comprises 8 items and has a scoring range of 0-40, 0= most positive answer and 40= most negative answer. In this study, the subjects were to complete the CAT questionnaire every 3 months.
Measure: Change From Baseline COPD Assessment Test (CAT) Scores at Enrollment and Any AECOPD Visit Time: During Year 1Description: The NEADL assessed (quarterly in the present study) the ease or difficulty in performing extended activities of daily living. The NEADL scale contains 22 items, each measured on a 4-point Likert scale. There are four dimensions: mobility (6 items); kitchen (5 items); domestic (5 items); leisure (6 items). These are summed producing a total score reflecting general functioning. Each of the 22 individual items had 2 possible scores (0 or 1). Therefore, the range of the NEADL score was 0 to 22. Lower scores indicate greater levels of disability while higher scores indicate greater independence.
Measure: Change From Baseline COPD Nottingham Extended Activities of Daily Living Scale (NEADL) Scores at Enrollment and Any AECOPD Visit Time: During Year 1Description: The EQ-5D is an established measure of generic health outcome that provides a simple descriptive profile and a single index value that can be used in clinical and economic evaluation of healthcare and in population surveys. Its current format is 3-level and 5 dimensional (mobility, self-care, usual activities, pain/discomfort and anxiety/depression). The EQ-5D index was derived from the ratings recorded every 3 months for each of the five individual items (mobility, self-care, usual activities, pain/discomfort and anxiety/depression). The EQ-5D index was 0 (worst health state) to 100 (best health state). The negative numbers presented represent a decrease from baseline values and a worsening of health.
Measure: Change From Baseline COPD EQ-5D Index and Visual Analogue Scale (VAS) Scores at Enrollment and Any AECOPD Visit Time: During Year 1Description: AECOPD health care type included: general practitioners (other than the study doctor), pneumologists, other specialists, hospital emergency department, home care nurses, pulmonary rehabilitation programs and/or nutrition advices.
Measure: Number of Subjects Receiving Various Health Care Types During AECOPD Time: During Year 1Description: Serious adverse events (SAEs) include medical occur-rences that result in death, are life threatening, require hospitali-zation or prolongation of hospitalization or result in disabil-ity/incapacity.
Measure: Number of Subjects With Serious Adverse Events (SAEs) Possibly Related/Linked to Withdrawal Time: During Year 1Description: Bacterial pathogens assessed, by PCR assay were: Hi, Mcat, Sp, Sta, Psa, Streptococcus pyogenes (Spyo) and any bacteria.
Measure: AECOPD Rate With Overall and Specific Bacterial Pathogens in Sputum , by Polymerase Chain Reaction (PCR) Assay Time: During Year 1Description: Viral pathogens assessed were: respiratory syncytial virus (RSV), parainfluenza virus (PIV), entero rhinovirus (ENV), human metapneumovirus (HMP), influenza virus (INV), adenovirus (ADV), coronavirus (CRV), human bocavirus (HBoV) and any virus.
Measure: AECOPD Rate With Overall and Specific Viral Pathogens in Sputum Time: During Year 1Description: Viral pathogens assessed were: respiratory syncytial virus (RSV), parainfluenza virus (PIV), entero rhinovirus (ENV), human metapneumovirus (HMP), influenza virus (INV), adenovirus (ADV), coronavirus (CRV), human bocavirus (HBoV) and any virus. Mild exacerbations were defined as worsening symptoms of COPD that were self-managed by the patient.
Measure: Mild-AECOPD Rate With Overall and Specific Viral Pathogens in Sputum Time: During Year 1Description: Viral pathogens assessed were: respiratory syncytial virus (RSV), parainfluenza virus (PIV), entero rhinovirus (ENV), human metapneumovirus (HMP), influenza virus (INV), adenovirus (ADV), coronavirus (CRV), human bocavirus (HBoV) and any virus. Moderate exacerbations were defined as worsening symptoms of COPD that required treatment with oral corticosteroids and/or antibiotics.
Measure: Moderate-AECOPD Rate With Overall and Specific Viral Pathogens in Sputum Time: During Year 1Description: Viral pathogens assessed were: respiratory syncytial virus (RSV), parainfluenza virus (PIV), entero rhinovirus (ENV), human metapneumovirus (HMP), influenza virus (INV), adenovirus (ADV), coronavirus (CRV), human bocavirus (HBoV) and any virus. Severe exacerbations were defined as worsening symptoms of COPD that required treatment with in-patient hospitalisation or home care intervention.
Measure: Severe-AECOPD Rate With Overall and Specific Viral Pathogens in Sputum Time: During Year 1Description: An Acute Exacerbation in a COPD patient is an event in the natural course of the disease characterized by a change in the patient's baseline dyspnea, cough, and/or sputum production and beyond normal day to day variations, that is acute in onset and may warrant a change in regular medication in a patient with underlying COPD. AECOPD severity was assessed as: any, mild, moderate and severe. Any = any COPD symptom regardless of severity. Mild = Worsening symptoms of COPD that are self-managed by the patient. Moderate = Worsening symptoms of COPD that require treatment with oral corticosteroids and/or antibiotics. Severe = Worsening symptoms of COPD that require treatment with in-patient hospitalisation or home care intervention.
Measure: AECOPD Rate With Overall and Specific Bacterial Pathogens in Sputum by Severity Time: During Year 1This study will be conducted in a 208-bed nursing home in Maribor. The investigators will observe a group of a 100 nursing-home residents and 50 health care workers- employees in the nursing home- in a six months period.Influenza vaccination status will be recorded in all participants at the beginning. At the beginning and at the end of the study the blood samples for vitamin D concentration determination and nasopharyngeal swabs for molecular detection of respiratory viruses will taken in all of the participants. The study will observe number of viral respiratory tract infection in participants and identify the viral etiology of infections during 6 months observational period.Nasopharyngeal swab and blood sample will be taken in each of the participant who will suffer an acute respiratory tract infection (upper or lower respiratory tract infection) and viral agents of respiratory tract diseases will be searched for. The investigators will try to detect different viral agents of respiratory tract infection: human rhinoviruses, enteroviruses, influenza A, B, parainfluenza 1-4, respiratory syncytial virus, human coronaviruses, human metapneumovirus, adenoviruses and human bocavirus with newer molecular methods (real-time polymerase chain reaction, real-time reverse transcriptase polymerase chain reaction) in nasopharyngeal swab and in blood sample of the participants. During the study period the investigators will monitor the daily number of visitors (adults, preschool children and pupils) in each nursing home room. The epidemiological aspect of respiratory viral infection will be assessed. Our study hypothesis is that lower respiratory tract infections in elderly can be caused by viruses other than influenza. The investigators would like to know if hypovitaminosis D is a risk factor for respiratory tract infections in nursing home residents and employees. The investigators would also like to know if the number of respiratory tract infections in elderly correlates with the number of visitors in nursing home, small children in particular.
Description: Number of participants with upper and lower respiratory tract infection will be detected and etiology of viral infection will be identified
Measure: Number of viral respiratory tract infection in participants according to etiology Time: 6 monthsDescription: Serum concentration of vitamine D will be measured retrospectively from the blood samples taken at the beginning of the study and correlation between vitamine D concentration and the frequency of respiratory tract infection in participants will be made
Measure: Serum vitamine D concentration in participants Time: 6 monthsDescription: Daily number of visitors in each nursing home room will be counted and correlate with the number of respiratory tract infection in participants.
Measure: Daily number of visitors in nursing home in correlation with the number of respiratory tract infection in residents Time: 6 monthsSince 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.
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 yearDescription: 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 yearDescription: 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 yearDescription: 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 yearDescription: 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 yearDescription: 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 yearDescription: 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 yearDescription: 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 yearDescription: 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 yearDescription: 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 yearDescription: 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 yearDescription: 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 yearDescription: 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 12Description: 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 yearOn Dec 31, 2019, a number of viral pneumonia cases were reported in China. The virus causing pneumonia was then identified as a new coronavirus called SARS-CoV-2. Since this time, the infection called coronavirus disease 2019 (COVID-19) has spread around the world, causing huge stress for health care systems. To diagnose this infection, throat and nose swabs are taken. Unfortunately, the results often take more than 24 hrs to return from a laboratory. Speeding diagnosis up would be of great help. This study aims to look at the breath to find signs that might allow clinicians to diagnose the coronavirus infection at the bedside, without needing to send samples to the laboratory. To do this, the team will be using a machine called a BreathSpec which has been adapted to fit in the hospital for this purpose.
Description: breath sample collection
Measure: To perform a study in patients with clinical features of pneumonia/chest infection to identify a signature of Covid-19 pneumonia in patients exposed to SARS-CoV-2, compared to unexposed patients or those without. Time: up to daily during hospital admissionDescription: breath sample collection
Measure: Detection of markers of Covid-19 pneumonia in non-invasive breath samples. Time: daily until the patient has ben discharged from hospital or it is deemed inappropriate to continueDescription: breath sample collection
Measure: Relationship of this biomarker signature to the presence of SARS-CoV-2 in nasal and throat swabs. Time: daily until the patient has ben discharged from hospital or it is deemed inappropriate to continueDescription: breath sample collection
Measure: Subsequently, the signature's relationship to other biomarkers of SARS-CoV-2 infection which are currently being explored Time: daily until the patient has ben discharged from hospital or it is deemed inappropriate to continueDescription: breath sample collection
Measure: In a smaller group of participants, ideally daily non-invasive breath samples will be collected to determine if there are changes between SARS-CoV-2 positive patients and those that are negative until hospital discharge or undue participant burden . Time: daily until the patient has ben discharged from hospital or it is deemed inappropriate to continueWe hypothesize that inhaled steroid therapy and long acting beta 2 adrenergic agonist, widely prescribed in asthma patients, may also have a local protective effect against coronavirus infection, even in patients without asthma. The primary purpose is To compare time to clinical improvement in patients receiving standard of care associated to the combination budesonide/formoterol or standard of care only. Time (in days) to clinical improvement is defined as the time from randomization to an improvement of two points (from the status at randomization) on a seven-category ordinal scale or live discharge from the hospital, whichever came first within 30 days.
Description: Time (in days) to clinical improvement is defined as the time from randomization to an improvement of two points (from the status at randomization) on a seven-category ordinal scale or live discharge from the hospital, whichever came first within 30 days. The seven-category ordinal scale consisted of the following categories: Not hospitalized with resumption of normal activities Not hospitalized, but unable to resume normal activities Hospitalized, not requiring supplemental oxygen Hospitalized, requiring supplemental oxygen Hospitalized, requiring nasal high-flow oxygen therapy, non-invasive mechanical ventilation, or both; Hospitalized, requiring ECMO, invasive mechanical ventilation, or both Death. These parameters will be evaluated daily during hospitalization.
Measure: Time (in days) to clinical improvement within 30 days after randomization Time: within 30 daysThis study is a Phase 1 / 2 trial to determine the safety and efficacy of CYNK-001, an immunotherapy containing Natural Killer (NK) cells derived from human placental CD34+ cells and culture-expanded, in hospitalized patients with moderate COVID-19 disease.
Description: Number and severity of adverse events
Measure: Phase 1: Frequency and Severity of Adverse Events (AE) Time: Up to 12 monthsDescription: Time from the date of randomization to the clearance of SARS-CoV-2 by rRT-PCR
Measure: Time to Clearance of SARS-CoV-2 Time: Up to 12 monthsDescription: Proportion of subjects with "negative" measurement of COVID-19 by rRT-PCR
Measure: Rate of Clearance of SARS-CoV-2 Time: Up to 12 monthsDescription: Time from the date of randomization to the first date of clinical improvement of cough.
Measure: Time to Clinical Improvement of cough Time: Up to 28 daysDescription: Time from the date of randomization to the first date of clinical improvement of fever
Measure: Time to Clinical Improvement of fever Time: Up to 28 daysDescription: Time from the date of randomization to the first date of clinical improvement of radiological evaluation of disease related chest x-ray
Measure: Time to Clinical Improvement in radiological evaluation of disease related chest x-ray Time: Up to 28 daysDescription: Proportion of subjects who achieved clinical improvement of fever
Measure: Rate of Clinical Improvement of fever Time: Up to 28 daysDescription: Proportion of subjects who achieved clinical improvement of cough
Measure: Rate of Clinical Improvement of cough Time: Up to 28 daysDescription: Proportion of subjects who achieved clinical improvement of radiological evaluation of disease related chest x-ray
Measure: Rate of Clinical Improvement of radiological evaluation of disease related chest x-ray Time: Up to 28 daysDescription: Time from randomization to the date of disappearance of virus from lower respiratory tract infection (LRTI) specimen where it has previously been found (induced sputum, endotracheal aspirate).
Measure: Time to Pulmonary Clearance Time: Up to 28 daysDescription: Proportion of subjects who achieve pulmonary clearance
Measure: Rate of Pulmonary Clearance Time: Up to 28 daysDescription: Assess the impact of CYNK-001 on changes in sequential organ failure assessment (SOFA) score.
Measure: Impact of CYNK-001 on sequential organ failure assessment (SOFA) score Time: Up to 28 daysDescription: Number and severity of adverse events
Measure: Phase 2: Frequency and Severity of Adverse Events (AE) Time: up to 12 monthsDescription: Time to medical discharge as an assessment of overall clinical benefit
Measure: Overall Clinical Benefit by time to medical discharge Time: up to 12 monthsDescription: Hospital utilization will be measured as an assessment of overall clinical benefit
Measure: Overall Clinical Benefit by hospital utilization Time: up to 12 monthsDescription: Mortality rate will be measured as an assessment of overall clinical benefit
Measure: Overall Clinical Benefit by measuring mortality rate Time: up to 12 monthsThe coronavirus disease 2019 (COVID-19) is an emerging pandemic in 2020 caused by a novel coronavirus named SARS-CoV2. Diabetes confers a significant additional risk for COVID-19 patients. Dipeptidyl peptidase 4 (DPP-4) is a transmembrane glycoprotein expressed ubiquitously in many tissues. In addition to its effect on glucose levels, DPP-4 has various effects on the immune system and several diseases, including lung diseases. This trial aims to assess the safety and efficacy of linagliptin, a DPP-4 inhibitor, in the treatment of COVID-19. The trial will be randomized without blinding, with one are treated by insulin only for glucose balance and the other by insulin and linagliptin. The trial will assess the effects of linagliptin on different measures of COVID-19 recovery.
Description: Clinical change is defined as 2 points reduction in the World Health Organization (WHO) Ordinal Scale for Clinical Improvement of COVID-19: 0 - No clinical or virological evidence of infection; 1 - No limitation of activities; 2 - Limitation of activities; 3 - Hospitalized, no oxygen therapy; 4 - Oxygen by mask or nasal prongs; 5 - Non-invasive ventilation or high-flow oxygen; 6 - Intubation and mechanical ventilation; 7 - Ventilation + additional organ support - pressors, renal replacement therapy, extracorporeal membrane oxygenation; 8 - Death.
Measure: Time to clinical change Time: 28 daysDescription: Percent of patients with a 2 points reduction in the World Health Organization (WHO) Ordinal Scale for Clinical Improvement of COVID-19.
Measure: Percent of patients with clinical improvement. Time: 28 days