CovidResearchTrials by Shray Alag


CovidResearchTrials Covid 19 Research using Clinical Trials (Home Page)


Report for D018450: Disease Progression NIH

(Synonyms: Disease Progression)

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


Correlated Drug Terms (13)


Name (Synonyms) Correlation
drug1528 blood sample Wiki 0.38
drug148 BIOVITALS Wiki 0.33
drug1493 Whole Genome Analysis Wiki 0.33
drug5 0.9% sodium chloride (normal saline) Wiki 0.33
drug932 Octagam 10% Wiki 0.33
drug1114 RBT-9 (90 mg) Wiki 0.33
drug1337 T-cell receptor (TCR) repertoire Wiki 0.33
drug1190 SARS-CoV-2 viral composition Wiki 0.33
drug977 PUL-042 Inhalation Solution Wiki 0.24
drug247 COVID-19 Convalescent Plasma Wiki 0.17
drug823 Methylprednisolone Wiki 0.11
drug1402 Tocilizumab Wiki 0.07
drug1016 Placebo Wiki 0.05

Correlated MeSH Terms (3)


Name (Synonyms) Correlation
D007239 Infection NIH 0.02
D045169 Severe Acute Respiratory Syndrome NIH 0.02
D018352 Coronavirus Infections NIH 0.02

Correlated HPO Terms (0)


Name (Synonyms) Correlation

There are 9 clinical trials

Clinical Trials


1 A Phase 2 Multiple Dose Study to Evaluate the Efficacy and Safety of PUL-042 Inhalation Solution in Reducing the Infection Rate and Progression to COVID-19 in Adults Exposed to SARS-CoV-2

Subjects who have documented exposure to SARS-CoV-2 (COVID-19) will receive 4 doses of PUL-042 Inhalation Solution or 4 doses of a placebo solution by inhalation over 10 days. Subjects will be followed for the incidence and severity of COVID-19 over 28 days. Subjects will be tested for infection with SARS-CoV-2 at the beginning, middle and end of the study.

NCT04313023 COVID-19 Drug: PUL-042 Inhalation Solution Drug: Placebo
MeSH:Infection Disease Progression

Primary Outcomes

Description: To determine the efficacy of PUL-042 Inhalation Solution in the prevention of viral infection with SARS-CoV-2 and progression to COVID-19 in subjects: 1) who have repeated exposure to individuals with SARS-CoV-2 infection and, 2) are asymptomatic at enrollment. The primary endpoint is the severity of COVID-19 as measured by the maximum difference from the baseline value in the Ordinal Scale for Symptom Improvement within 28 days from the start of experimental therapy.

Measure: Severity of COVID-19

Time: 28 days

Secondary Outcomes

Description: Positive test for SARS-CoV-2 infection 28 days from the start of experimental therapy in subjects who test negative for SARS-CoV-2 at the pre-treatment visit

Measure: Incidence of SARS-CoV-2 infection

Time: 28 days

Description: Positive test for SARS-CoV-2 infection 14 days from the start of experimental therapy in subjects who test negative for SARS-CoV-2 at the pre-treatment visit

Measure: Incidence of SARS-CoV-2 infection

Time: 14 days

Description: The severity of COVID-19 as measured by the maximum difference from the baseline value in the Ordinal Scale for Symptom Improvement within 14 days from the start of experimental therapy.

Measure: Severity of COVID-19

Time: 14 days

Description: The requirement for ICU admission within 28 days from the start of experimental therapy.

Measure: ICU admission

Time: 28 days

Description: The requirement for mechanical ventilation within 28 days from the start of experimental therapy.

Measure: Mechanical ventilation

Time: 28 days

Description: All cause mortality at 28 days from the start of experimental therapy.

Measure: Mortality

Time: 28 days

2 Using Biovitals® Sentinel to Monitor Disease Progression in Subjects Quarantined for Suspected COVID-19

The novel coronavirus (COVID-19) emerged in December 2019, and in mere months has spread to more than 104 countries, resulting in an outbreak of viral pneumonia worldwide. Current local quarantine policy in Hong Kong for individuals suspected for COVID-19 requires daily self-reported symptomatology and body temperature, given the intermittent nature and the high dependency of self-discipline undermine the practicality of the approach. To date, the advance in sensor technology has made possible to continuously monitor individual physiological parameters using a simple wearable device. Together with the mobile wearable technology that allowing instantaneous, multi-directional, and massive data transfer, remote continuous physiological monitoring is made possible. The Cardiology division, the Univeristy of Hong Kong has been in collaboration with Biofourmis to implement such technology for remote heart failure management. Similar digital therapeutic system can be applied to remotely monitor physiological parameters of large number of quarantined or suspected COVID-19 at home or in quarantine facility. It is purposed to allow the monitoring team to effectively and remotely monitor COVID-19 quarantined and patients, manage and evaluate the disease progression.

NCT04343794 COVID19 Device: BIOVITALS
MeSH:Disease Progression

Primary Outcomes

Description: Time from quarantine to diagnosis of COVID-19

Measure: Time to diagnosis of COVID-19 by RT-PCR in subjects

Time: within 14 days

Secondary Outcomes

Description: Adherence to device

Measure: Compliance to complete the study

Time: within 14 days

Description: To identify COVID19 subjects

Measure: Sensitivity and specificity of Biovitals® Sentinel

Time: within 14 days

Description: % of family members infection

Measure: Cross infection rate within the family cluster

Time: within 14 days

Description: Length of hospital stay

Measure: Length of hospital stay of positive subjects

Time: 1 year at study completion

Description: Length of ICU stay

Measure: Length of ICU stay of positive patients

Time: 1 year at study completion

Description: Vital signs of positive patients

Measure: National Early Warning Score 2 rating of positive patients

Time: 4 weeks from diagnosis

Description: Virology laboratory result of nasopharyngeal swab

Measure: Viral load of positive patients

Time: 4 weeks from diagnosis

Description: Worsening of comorbidities

Measure: Worsening of comorbidities

Time: 1 year at study completion

Description: Mortality

Measure: Mortality

Time: 1 year at study completion

3 An Open-label, Randomized, Cross-over Interventional Study to Evaluate the Efficacy and Safety of Tocilizumab Versus Corticosteroids in Hospitalised COVID-19 Patients With High Risk of Progression

This study aims to compare the efficacy and safety of Methylprednisolone versus Tocilizumab in improving clinical outcomes and reducing the need for ventilator support in COVID-19 patients with moderate COVID-19 disease at risk for complications of cytokine storm. Approximately 310 participants hospitalized with COVID-19 in UMMC, Hospital Sungai Buloh, Hospital Kuala Lumpur and Hospital Tuanku Jaafar will be enrolled into this study. Eligible participants will be selected based on a set of clinical, laboratory and radiological parameters indicative of early stages of CRS and lung function decline prior to being randomized at a ratio of 1:1 to receive either Tocilizumab or Methylprednisolone. Participants will be monitored daily for clinical and laboratory parameters, and at 48 hours, switched to the alternate study arm should they manifest signs and symptoms indicative of decompensation.

NCT04345445 COVID-19 Drug: Tocilizumab Drug: Methylprednisolone
MeSH:Disease Progression

Primary Outcomes

Measure: The proportion of patients requiring mechanical ventilation

Time: Through study completion, and average of 6 months

Measure: Mean days of ventilation

Time: Through study completion, and average of 6 months

Secondary Outcomes

Measure: The proportion of patients requiring ICU admission

Time: Through study completion, and average of 6 months

Measure: Overall 28-day survival

Time: 28 day from baseline

Measure: Change in symptom severity assessed by the World Health Organization (WHO) Coronavirus Disease 2019 (COVID19) ordinal scale measured daily up to 7 days from baseline

Time: 7 days from baseline

Measure: Duration of hospital and ICU stay

Time: Through study completion, and average of 6 months

4 A Phase 2, Randomized, Placebo-Controlled Study to Evaluate the Effect of RBT-9 on Progression of COVID-19 in High-Risk Individuals (The PREVENT Study)

The overall objective is to evaluate the efficacy, tolerability, and safety of a single dose of RBT-9 versus placebo in coronavirus disease 2019 (COVID-19) infection in non-critically ill adults who are at high risk of progression.

NCT04364763 COVID-19 Drug: RBT-9 (90 mg) Drug: 0.9% sodium chloride (normal saline)
MeSH:Disease Progression

Primary Outcomes

Description: Determining severity of COVID-19 in patients measured using the 8-point World Health Organization (WHO) Ordinal Clinical Scale which measures the clinical status of a subject at the first assessment of a given day with category 1, most favorable, and category 8, least favorable (1. Ambulatory, no limitation of activities; 2. Ambulatory, limitation of activities; 3. Hospitalized, no oxygen therapy; 4. Hospitalized, oxygen by mask or nasal prongs; 5. Hospitalized, non-invasive ventilation or high-flow oxygen; 6. Hospitalized, intubation and mechanical ventilation; 7. Hospitalized, ventilation plus additional organ support - pressors, renal replacement therapy [RRT], extracorporeal membrane oxygenation [ECMO]; 8. Death)

Measure: Evaluate the effect of RBT-9 versus placebo on clinical status of COVID-19 patients as measured using the 8-point World Health Organization (WHO) Ordinal Clinical Scale

Time: 28 days

Secondary Outcomes

Description: Time to first occurrence of either death from any cause or new/worsened organ dysfunction through Day 28, defined as at least one of the following: 1. Respiratory decompensation; 2. New or worsening congestive heart failure; 3. Requirement of vasopressor therapy and/or inotropic or mechanical circulatory support; 4. Ventricular tachycardia or fibrillation lasting at least 30 seconds and/or associated with hemodynamic instability or pulseless electrical activity, or resuscitated cardiac arrest; 5. Initiation of renal replacement therapy

Measure: Time to first occurrence of death from any cause or new/worsened organ dysfunction

Time: 28 Days

Description: Percentage of subjects who are alive at Day 28

Measure: All-cause survival

Time: 28 Days

Description: Among subjects who begin oxygen therapy, mean change from initiation to last day on oxygen or Day 28 (whichever happens first) in respiratory distress rate

Measure: Respiratory distress rate

Time: 28 Days

Description: Percentage of subjects with fever through Day 28

Measure: Fever incidence

Time: 28 Days

Description: Percentage of subjects who develop AKI (defined as an increase in serum creatinine by 0.5 mg/dL or more within 48 hours or an increase in serum creatinine to 1.5 × Baseline or more within the last 7 days) through Day 28

Measure: Acute kidney injury (AKI) incidence

Time: 28 Days

Description: Percentage of subjects with new or worsening congestive HF at Day 28

Measure: New or worsening congestive heart failure (HF)

Time: 28 Days

Description: Percentage of subjects who remain hospitalized at Day 28

Measure: Hospitalization status

Time: 28 Days

Description: Percentage of subjects with ventricular tachycardia or fibrillation lasting at least 30 seconds and/or associated with hemodynamic instability or pulseless electrical activity, or resuscitated cardiac arrest at Day 28

Measure: Ventricular tachycardia or fibrillation lasting at least 30 seconds and/or associated with hemodynamic instability or pulseless electrical activity, or resuscitated cardiac arrest

Time: 28 Days

Description: Number of oxygen-free days through Day 28

Measure: Oxygen-free days

Time: 28 Days

Description: Percentage of subjects transferred to the ICU through Day 28

Measure: Intensive care unit (ICU) status

Time: 28 Days

Description: Number of days on mechanical ventilation through Day 28

Measure: Days on ventilator

Time: 28 Days

Description: Time to and duration of vasopressor or inotrope utilization through Day 28

Measure: Time to and duration of vasopressor or inotrope utilization

Time: 28 Days

Description: Percentage of subjects who begin dialysis through Day 28

Measure: Dialysis status

Time: 28 Days

5 NGS Diagnostic in COVID-19 Hosts - Genetic Cause Relating to the Course of Disease Progression

In this study (i) the host genome to identify susceptibility regions of infection, inflammation, and host defense, (ii) host response to Severe Acute Respiratory Syndrome-Corona-Virus-2 (SARS-CoV-2) infection, and (iii) viral sequence composition to define viral sequences which may be correlated with disease severity in addition to the metagenome of the throat swab will be analysed .

NCT04364828 COVID-19 Genetic: Whole Genome Analysis Genetic: T-cell receptor (TCR) repertoire Genetic: SARS-CoV-2 viral composition
MeSH:Disease Progression

Primary Outcomes

Description: The change in the genetic makeup of a virus population (measured in numbers) as the viruses mutate and multiply over time at different time points

Measure: Viral evolution

Time: Day 1, Day 3-5, Day 7-9, 48 hours after recovery

Secondary Outcomes

Description: CD4+ and CD8+ T cells from blood (per µl) at different time points measured

Measure: Immune response

Time: Day 1, Day 3-5, Day 7-9, 48 hours after recovery

Description: Clinical classification according to severity: Light and uncomplicated (mild symptoms) Moderate (mild pneumonia) Severe pneumonia Critical (Acute Respiratory Distress Syndrome (ARDS), sepsis, septic shock) Evaluated at several time points

Measure: Disease severity

Time: Day 1, Day 3-5, Day 7-9, 48 hours after recovery

6 Blood Innate Biomarkers as Predictors of COVID-19 Disease Progression in Recently Infected Kidney Transplant Patients

SARS-CoV-2 induces over-production of inflammatory cytokines, and especially interleukin-6 (IL-6). The apparently strong association between blood levels of inflammaory cytokines and SARS-CoV-2 disease severity has led clinicians to evaluate the administration of steroids or anti-IL-6 antagonists in severely ill patients. As of this day, biomarkers capable of predicting clinical disease progression in Covid-19 patients with mild-to-moderate symptoms have not yet been formally identified. Identifying such markers and evaluating their predictive value may be exploited to guide patient care management, and as such forms the core objective of this proposal. Because of strong inter-individual variations in the ability of innate immune cells to produce cytokines, the hypothesis formulate and intend to test is that innate IL-6 responsiveness varies between recently infected Covid-19 patients and could predict disease outcome. To test this hypothesis, the investigator propose to follow recently infected kidney transplant patients with moderate Covid-19 symptoms. These patients stand a higher risk to progress to severe disease. The staff plan to collect a blood sample in these patients using a system whereby ex vivo cytokine production is initiated in the very same blood collection tube without prior separation and centrifugation, thus reducing labour and operator bias. After incubation with or without known innate immune stimuli, the cell-free phase from each collection-culture tube will be assayed for IL-6 content. Associations between IL-6 content and disease outcome (encephalopathy, transfer to acute care or death) will be determined in 115 Covid-19 kidney transplant patients with moderate symptoms followed in 9 centers.

NCT04369456 Kidney Transplant; Complications Coronavirus Infection Other: blood sample
MeSH:Coronavirus Infections Severe Acute Respiratory Syndrome Disease Progression

Primary Outcomes

Description: quantity of IL-6 in of whole blood samples after ex vivo co-stimulation with LPS and ATP in Covid-19 kidney transplant patients.

Measure: Predictive value of IL-6 contents of whole blood samples after ex vivo stimulation

Time: 10 months

7 Blood Innate Biomarkers as Predictors of COVID-19 Disease Progression in Recently Infected Chronic Haemodialysis Patients

SARS-CoV-2 induces over-production of inflammatory cytokines, and especially interleukin-6 (IL-6). The apparently strong association between blood levels of inflammaory cytokines and SARS-CoV-2 disease severity has led clinicians to evaluate the administration of steroids or anti-IL-6 antagonists in severely ill patients. As of this day, biomarkers capable of predicting clinical disease progression in Covid-19 patients with mild-to-moderate symptoms have not yet been formally identified. Identifying such markers and evaluating their predictive value may be exploited to guide patient care management, and as such forms the core objective of this proposal. Because of strong inter-individual variations in the ability of innate immune cells to produce cytokines, the hypothesis the investigators formulate and intend to test is that innate IL-6 responsiveness varies between recently infected Covid-19 patients and could predict disease outcome. To test this hypothesis, the investigators propose to follow recently infected chronic haemodialysis patients with moderate Covid-19 symptoms. These patients stand a higher risk to progress to severe disease. The investigators plan to collect a blood sample in these patients using a system whereby ex vivo cytokine production is initiated in the very same blood collection tube without prior separation and centrifugation, thus reducing labour and operator bias. After incubation with or without known innate immune stimuli, the cell-free phase from each collection-culture tube will be assayed for IL-6 content. Associations between IL-6 content and disease outcome (encephalopathy, transfer to acute care or death) will be determined in 115 Covid-19 chronic haemodialysis patients with moderate symptoms followed in 9 centers.

NCT04371510 COVID-19 by SARS-CoV-2 Infection Other: blood sample
MeSH:Disease Progression

Primary Outcomes

Description: Quantity of IL-6 in of whole blood samples after ex vivo co-stimulation with LPS and ATP in Covid-19 patients.

Measure: Predictive value of IL-6 contents of whole blood samples after ex vivo stimulation

Time: 10 months

8 Early transfusIon of COVID-19 Convalescent Plasma in Elderly COVID-19 Patients to Prevent Disease Progression.

Older age is an independent poor outcome predictor among COVID-19 hospitalized patients . Among 72,314 COVID-19 cases, case fatality rate (CFR) was 2.3% in total population, 8% in people aged 70 to 79, and 14.8% in those aged 80 and older. In the whole population, CFR was higher in people with comorbidities, ranging from 5-6% in persons with hypertension, chronic respiratory disease, diabetes or cancer, up to 10% in those with cardiovascular diseases. Sars-CoV-2 seems to be able to induce a functional exhaustion of specified T and NK lymphocyte subpopulations, breaking down antiviral immunity. One possible explanation is that the immune system of elderly people, might be exhausted by chronic stimulation associated with comorbidities and more susceptible to this Sars-CoV-2 effect. As a result, in these patients, the activation of the innate immune system might fail to produce an adequate adaptive response (i.e., virus-specific CD8+ T-cells). This results in persistent self-induced inflammation that eventually causes mortality. The investigators hypothesize that transfusing convalescent plasma (containing neutralizing antibodies) at an early phase of COVID-19 infection could prevent or switch off the persistent inflammatory response elicited by the virus. The objective of this study are: - To demonstrate the superiority of COVID-19 convalescent plasma (CCP) plus standard therapy (ST) over ST alone - To prevent progression of pneumonia in COVID-19 patients aged ≥65 with chronic comorbidities - To decrease viral load - To raise anti-SARS-CoV-2 antibody titer in recipients

NCT04374526 Coronavirus Disease 2019 )COVID-19) Biological: COVID-19 Convalescent Plasma
MeSH:Disease Progression

Primary Outcomes

Description: Proportion of patients without progression in severity of pulmonary disease defined as worsening of 2 points in the ordinal scale of WHO within day 14

Measure: Rate of COVID-19 progression

Time: days 1 to 14.

9 EFFICACY AND SAFETY OF OCTAGAM 10% THERAPY IN COVID-19 PATIENTS WITH SEVERE DISEASE PROGRESSION

This is a randomized, double-blind, placebo-controlled, multicenter, Phase 3 study to evaluate if high-dose Octagam 10% therapy can stabilize or improve clinical status in patients with severe Coronavirus disease

NCT04400058 Covid-19 Biological: Octagam 10% Other: Placebo
MeSH:Disease Progression

Primary Outcomes

Description: The primary endpoint is stabilization or improvement in clinical status defined as maintenance or improvement by one category on a 6-category clinical status scale on Day 7. Clinical status categories will be defined as: Hospital discharge or meet discharge criteria (discharge criteria are defined as clinical recovery, i.e. fever, respiratory rate, oxygen saturation return to normal, and cough relief). Hospitalization, not requiring supplemental oxygen. Hospitalization, requiring supplemental oxygen (but not NIV/HFNC). ICU/hospitalization, requiring NIV/HFNC therapy. ICU, requiring Extracorporeal Membrane Oxygenation (ECMO) and/or IMV. Death.

Measure: Stabilization or Improvement in Clinical Status

Time: 7 days

Secondary Outcomes

Description: Change from baseline in oxygen saturation

Measure: Oxygen saturation

Time: Up to 33 days

Description: Change from baseline in Modified Borg Dyspnea scale

Measure: Modified Borg Dyspnea scale

Time: Up to 33 days

Description: Change from baseline in Quality of Life

Measure: Quality of Life (McGill Quality of Life Single-Item Scale)

Time: Up to 33 daya

Description: Time to intubation

Measure: Time to intubation

Time: Up to 33 days

Description: Time to extubation

Measure: Time to extubation

Time: Up to 33 days

Description: Time to mechanical ventilation

Measure: Time to mechanical ventilation

Time: Up to 33 days

Description: Time to cessation of mechanical ventilation

Measure: Time to cessation of mechanical ventilation

Time: Up to 33 days

Description: Time to change of modality for oxygenation

Measure: Time to change of modality for oxygenation

Time: Up to 33 days

Description: Time to death

Measure: Time to death

Time: Up to 33 days

Description: Imaging findings (chest CT/chest X-ray)

Measure: Imaging findings (chest CT/chest X-ray)

Time: Up to 7 days

Description: Change from baseline in blood glucose

Measure: Blood glucose

Time: Up to 33 daya

Description: Change from baseline in blood calcium

Measure: Blood calcium

Time: Up to 33 days

Description: Change from baseline in sodium

Measure: Sodium

Time: Up to 33 days

Description: Change from baseline in potassium

Measure: Potassium

Time: Up to 33 days

Description: Change from baseline in carbon dioxide

Measure: Carbon dioxide

Time: Up to 33 days

Description: Change from baseline in chloride

Measure: Chloride

Time: Up to 33 days

Description: Change from baseline in albumin

Measure: Albumin

Time: Up to 33 days

Description: Change from baseline in total protein

Measure: Total protein

Time: Up to 33 days

Description: Change from baseline in alkaline phosphatase

Measure: Alkaline phosphatase

Time: Up to 33 days

Description: Change from baseline in alanine transaminase

Measure: Alanine transaminase

Time: Up to 33 days

Description: Change from baseline in aspartate aminotransferase

Measure: Aspartate aminotransferase

Time: Up to 33 days

Description: Change from baseline in bilirubin

Measure: Bilirubin

Time: Up to 33 days

Description: Change from baseline in blood urea nitrogen

Measure: Blood urea nitrogen

Time: Up to 33 days

Description: Change from baseline in D-dimer

Measure: D-dimer

Time: Up to 33 days

Description: Change from baseline in fibrinogen

Measure: Fibrinogen

Time: Up to 33 days

Description: Change from baseline in PT

Measure: PT

Time: Up to 33 days

Description: Change from baseline in PTT

Measure: PTT

Time: Up to 33 days

Description: Change from baseline in INR

Measure: INR

Time: Up to 33 days

Description: Change from baseline in hsCRP

Measure: hsCRP

Time: Up to 33 days

Description: Change from baseline in ferritin

Measure: Ferritin

Time: Up to 33 days

Description: Change from baseline in LDH

Measure: LDH

Time: Up to 33 days

Description: Change from baseline in IgG

Measure: IgG

Time: Up to 33 days

Description: Change from baseline in IgM

Measure: IgM

Time: Up to 33 days

Description: Change from baseline in IgA

Measure: IgA

Time: Up to 33 days

Description: Change from baseline in IFE

Measure: IFE

Time: Up to 33 days

Description: Change from baseline in troponin

Measure: Troponin

Time: Up to 33 days

Description: Change from baseline in red blood cell count

Measure: Red blood cell count

Time: Up to 33 days

Description: Change from baseline in hemoglobjn

Measure: Hemoglobin

Time: Up to 33 days

Description: Change from baseline in hematocrit

Measure: Hematocrit

Time: Up to 33 days

Description: Change from baseline in mean corpuscular volume

Measure: Mean corpuscular volume

Time: Up to 33 days

Description: Change from baseline in mean corpuscular hemoglobin

Measure: Mean corpuscular hemoglobin

Time: Up to 33 days

Description: Change from baseline in mean corpuscular hemoglobin concentration

Measure: Mean corpuscular hemoglobin concentration

Time: Up to 33 days

Description: Change from baseline in red cell distribution width

Measure: Red cell distribution width

Time: Up to 33 days

Description: Change from baseline in white blood cell count

Measure: White blood cell count

Time: Up to 33 days

Description: Change from baseline in white blood cell differential

Measure: White blood cell differential

Time: Up to 33 days

Description: Change from baseline in platelet count

Measure: Platelet count

Time: Up to 33 days

Description: Change from baseline in mean platelet volume

Measure: Mean platelet volume

Time: Up to 33 days

Description: Change from baseline in platelet distribution width

Measure: Platelet distribution width

Time: Up to 33 days

Description: Frequency of adverse events

Measure: Frequency of adverse events

Time: 33 days

Description: Frequency of serious adverse events

Measure: Frequency of serious adverse events

Time: 33 days


HPO Nodes