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D053717: Pneumonia, V

Developed by Shray Alag, The Harker School
Sections: Correlations, Clinical Trials, and HPO

Correlations computed by analyzing all clinical trials.

Navigate: Clinical Trials and HPO


Correlated Drug Terms (14)


Name (Synonyms) Correlation
drug265 Anti-coronavirus antibodies (immunoglobulins)obtained with DFPP from convalescent patients Wiki 0.32
drug3054 Scanning Chest X-rays and performing AI algorithms on images Wiki 0.32
drug3613 VC Wiki 0.32
Name (Synonyms) Correlation
drug3273 Sterile Water for Injection Wiki 0.32
drug437 Bacterial species isolated Wiki 0.32
drug317 Assessment of ventilator-associated pneumonia criteria Wiki 0.32
drug1193 Enhanced hygiene measures Wiki 0.32
drug2452 Peginterferon Lambda-1A Wiki 0.22
drug3680 Vitamin Super B-Complex Wiki 0.18
drug3562 UC-MSCs Wiki 0.14
drug1030 Dexamethasone Wiki 0.11
drug2194 Nitazoxanide Wiki 0.09
drug4034 placebo Wiki 0.08
drug2505 Placebo Wiki 0.01

Correlated MeSH Terms (8)


Name (Synonyms) Correlation
D000077299 Healthcare-Associated Pneumonia NIH 0.45
D060085 Coinfection NIH 0.16
D011014 Pneumonia NIH 0.16
Name (Synonyms) Correlation
D011024 Pneumonia, Viral NIH 0.11
D017563 Lung Diseases, Interstitial NIH 0.09
D007251 Influenza, Human NIH 0.08
D045169 Severe Acute Respiratory Syndrome NIH 0.03
D018352 Coronavirus Infections NIH 0.02

Correlated HPO Terms (2)


Name (Synonyms) Correlation
HP:0002090 Pneumonia HPO 0.16
HP:0006515 Interstitial pneumonitis HPO 0.09

Clinical Trials

Navigate: Correlations   HPO

There are 10 clinical trials


1 The Benefits of Artificial Intelligence Algorithms (CNNs) for Discriminating Between COVID-19 and Influenza Pneumonitis in an Emergency Department Using Chest X-Ray Examinations

This project aims to use artificial intelligence (image discrimination) algorithms, specifically convolutional neural networks (CNNs) for scanning chest radiographs in the emergency department (triage) in patients with suspected respiratory symptoms (fever, cough, myalgia) of coronavirus infection COVID 19. The objective is to create and validate a software solution that discriminates on the basis of the chest x-ray between Covid-19 pneumonitis and influenza

NCT04313946
Conditions
  1. COVID-19
  2. Pneumonia, Viral
  3. Influenza With Pneumonia
  4. Flu Symptom
  5. Flu Like Illness
  6. Pneumonia, Interstitial
  7. Pneumonia, Ventilator-Associated
  8. Pneumonia Atypical
Interventions
  1. Diagnostic Test: Scanning Chest X-rays and performing AI algorithms on images
MeSH:Pneumonia, Ventilator-Associated Influenza, Human Pneumonia, V Pneumonia, Viral Pneumonia Lung Diseases, Interstitial
HPO:Interstitial pneumonitis Interstitial pulmonary abnormality Pneumonia

Primary Outcomes

Description: Number of participants with pneumonitis on Chest X-Ray and COVID 19 positive

Measure: COVID-19 positive X-Rays

Time: 6 months

Description: Number of participants with pneumonitis on Chest X-Ray and COVID 19 negative

Measure: COVID-19 negative X-Rays

Time: 6 months
2 The Impact of Simultaneous Presence of Viral and Bacterial Pathogens on Therapy and Course of Severe Pneumonia

The purpose of the study is to determine if the clinical course of pneumonia is more severe when both, bacterial and viral pathogens are find as possible causative agent and how does it affect treatment.

NCT02203110
Conditions
  1. Community Acquired Pneumonia
  2. Hospital Acquired Pneumonia
  3. Ventilator Associated Pneumonia
MeSH:Pneumonia, Ventilator-Associated Healthcare-Associated Pneumonia Pneumonia
HPO:Pneumonia

Primary Outcomes

Measure: Rate of changes in empirical antibiotic therapy due to broad microbiological diagnostic

Time: each patient will be assessed at enrollment and follow-up for 2 months
3 Vitamin C Infusion for the Treatment of Severe 2019-nCoV Infected Pneumonia: a Prospective Randomized Clinical Trial

2019 new coronavirus (2019-nCoV) infected pneumonia, namely severe acute respiratory infection (SARI) has caused global concern and emergency. There is a lack of effective targeted antiviral drugs, and symptomatic supportive treatment is still the current main treatment for SARI. Vitamin C is significant to human body and plays a role in reducing inflammatory response and preventing common cold. In addtion, a few studies have shown that vitamin C deficiency is related to the increased risk and severity of influenza infections. We hypothize that Vitamin C infusion can help improve the prognosis of patients with SARI. Therefore, it is necessary to study the clinical efficacy and safety of vitamin C for the clinical management of SARI through randomized controlled trials during the current epidemic of SARI.

NCT04264533
Conditions
  1. Vitamin C
  2. Pneumonia, Viral
  3. Pneumonia, Ventilator-Associated
Interventions
  1. Drug: VC
  2. Drug: Sterile Water for Injection
MeSH:Pneumonia, Ventilator-Associated Pneumonia, Viral Pneumonia
HPO:Pneumonia

Primary Outcomes

Description: days without ventilation support during 28 days after patients' enrollment

Measure: Ventilation-free days

Time: on the day 28 after enrollment

Secondary Outcomes

Description: wether the patient survives

Measure: 28-days mortality

Time: on the day 28 after enrollment

Description: days of the patients staying in the ICU

Measure: ICU length of stay

Time: on the day 28 after enrollment

Description: the rate of CPR

Measure: Demand for first aid measuments

Time: on the day 28 after enrollment

Description: days of using vasopressors

Measure: Vasopressor days

Time: on the day 28 after enrollment

Description: P O2/Fi O2 which reflects patients' respiratory function

Measure: Respiratory indexes

Time: on the day 10 and 28 after enrollment

Description: Ecmo or ventilator

Measure: Ventilator parameters

Time: on the day 10 and 28 after enrollment

Description: Acute Physiology and Chronic Health Evaluation

Measure: APACHE II scores

Time: on the day 10 after enrollment

Description: Sepsis-related Organ Failure Assessment

Measure: SOFA scores

Time: on the day 10 after enrollment
4 Clinical Research Regarding the Availability and Safety of UC-MSCs Treatment for Serious Pneumonia and Critical Pneumonia Caused by the 2019-nCOV Infection

Serious Pneumonia and Critical Pneumonia caused by the 2019-nCOV infection greatly threats patients' life, UC-MSCs treatment has been proved to play a role in curing multiple diseases. And this study is conducted to find out whether or not it will function in 2019-nCOV infection Pneumonia.

NCT04269525
Conditions
  1. Pneumonia, Viral
  2. Pneumonia, Ventilator-Associated
Interventions
  1. Biological: UC-MSCs
MeSH:Pneumonia, Ventilator-Associated Pneumonia, Viral Pneumonia
HPO:Pneumonia

Primary Outcomes

Description: partial arterial oxygen pressure (PaO2) / oxygen concentration (FiO2)

Measure: Oxygenation index

Time: on the day 14 after enrollment

Secondary Outcomes

Description: whether the patient survives

Measure: 28 day mortality

Time: on the day 28 after enrollment

Description: days of the patients in hospital

Measure: Hospital stay

Time: up to 6 months

Description: whether or not the 2019-nCoV antibody is positive

Measure: 2019-nCoV antibody test

Time: on the day 7,14,28 after enrollment

Description: whether or not the 2019-nCoV nucleic acid test is positive

Measure: 2019-nCoV nucleic acid test

Time: on the day 7,14,28 after enrollment

Description: whether lung imaging examinations show the improvement of the pneumonia

Measure: Improvement of lung imaging examinations

Time: on the day 7,14,28 after enrollment

Description: counts of white blood cell in a litre of blood

Measure: White blood cell count

Time: on the day 7,14,28 after enrollment

Description: counts of lymphocyte in a litre (L) of blood

Measure: Lymphocyte count

Time: on the day 7,14,28 after enrollment

Description: procalcitonin in microgram(ug)/L

Measure: Procalcitonin

Time: on the day 7,14,28 after enrollment

Description: IL-2 in picogram(pg)/millilitre(mL)

Measure: interleukin(IL)-2

Time: on the day 7,14,28 after enrollment

Description: IL-4 in pg/mL

Measure: IL-4

Time: on the day 7,14,28 after enrollment

Description: IL-6 in pg/mL

Measure: IL-6

Time: on the day 7,14,28 after enrollment

Description: IL-10 in pg/mL

Measure: IL-10

Time: on the day 7,14,28 after enrollment

Description: TNF-α in nanogram(ng)/L

Measure: tumor necrosis factor(TNF)-α

Time: on the day 7,14,28 after enrollment

Description: γ-IFN in a thousand unit (KU)/L

Measure: γ-interferon(IFN)

Time: on the day 7,14,28 after enrollment

Description: CRP in microgram(μg)/L

Measure: C-reactive protein(CRP)

Time: on the day 7,14,28 after enrollment

Description: counts of CD4+ T-Lymphocytopenia in litre

Measure: CD4+ T-Lymphocytopenia

Time: on the day 7,14,28 after enrollment

Description: counts of CD8+ T-Lymphocytopenia in a litre

Measure: CD8+ T-Lymphocytopenia

Time: on the day 7,14,28 after enrollment

Description: counts of NK in a litre

Measure: natural killer cell(NK)

Time: on the day 7,14,28 after enrollment
5 The Benefits of Artificial Intelligence Algorithms (CNNs) for Discriminating Between COVID-19 and Influenza Pneumonitis in an Emergency Department Using Chest X-Ray Examinations

This project aims to use artificial intelligence (image discrimination) algorithms, specifically convolutional neural networks (CNNs) for scanning chest radiographs in the emergency department (triage) in patients with suspected respiratory symptoms (fever, cough, myalgia) of coronavirus infection COVID 19. The objective is to create and validate a software solution that discriminates on the basis of the chest x-ray between Covid-19 pneumonitis and influenza

NCT04313946
Conditions
  1. COVID-19
  2. Pneumonia, Viral
  3. Influenza With Pneumonia
  4. Flu Symptom
  5. Flu Like Illness
  6. Pneumonia, Interstitial
  7. Pneumonia, Ventilator-Associated
  8. Pneumonia Atypical
Interventions
  1. Diagnostic Test: Scanning Chest X-rays and performing AI algorithms on images
MeSH:Pneumonia, Ventilator-Associated Influenza, Human Pneumonia, V Pneumonia, Viral Pneumonia Lung Diseases, Interstitial
HPO:Interstitial pneumonitis Interstitial pulmonary abnormality Pneumonia

Primary Outcomes

Description: Number of participants with pneumonitis on Chest X-Ray and COVID 19 positive

Measure: COVID-19 positive X-Rays

Time: 6 months

Description: Number of participants with pneumonitis on Chest X-Ray and COVID 19 negative

Measure: COVID-19 negative X-Rays

Time: 6 months
6 Microbial Etiology of Ventilator-associated Pneumonia (VAP) in COVID-19 Infected Patients

National multicentric observational retrospective case-control study comparing the relative frequency of the various microorganisms responsible for VAP in patients infected or not by SARS-CoV-2 and their resistance to antibiotics.

NCT04344509
Conditions
  1. Ventilator Associated Pneumonia
Interventions
  1. Other: Bacterial species isolated
MeSH:Pneumonia, Ventilator-Associated Pneumonia
HPO:Pneumonia

Primary Outcomes

Measure: Prevalence of the microorganisms responsible for VAP among patients infected or not by the SARS-CoV-2

Time: 1 month

Secondary Outcomes

Measure: Prevalence of multi-drug resistant bacteria responsible for VAP among patients infected or not by the SARS-CoV-2

Time: 1 month
7 A Pilot Study to Explore the Efficacy and Safety of Rescue Theraphy With Antibodies From Convalescent Patients Obtained With Double -Filtration Plasmapheresis (DFPP) and Infused in Critically Ill Ventilated Patients With Coronavirus Disease 2019 (COVID-19)

The 2019 outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 or COVID 19), which originated in Wuhan, China, has become a major concern all over the world. Convalescent plasma or immunoglobulins have been used as a last resort to improve the survival rate of patients with SARS whose condition continued to deteriorate despite any attempted treatment.. Moreover, several studies showed a shorter hospital stay and lower mortality in patients treated with convalescent plasma than those who were not treated with convalescent plasma. Evidence shows that convalescent plasma from patients who have recovered from viral infections can be used effectively as a treatment of patients with active disease. The use of solutions enriched of antiviral antibodies has several important advantages over the convalescent plasma including the high level of neutralizing antibodies supplied. Plasma-exchange is expensive and requires large volumes of substitution fluid. Albumin is better tolerated and less expensive, but exchanges using albumin solutions increase the risk of bleeding because of progressive coagulation factor depletion. With either albumin or fresh frozen plasma, increasing the risk of cardiovascular instability in the plasma donor and in the recipient, which can be detrimental in a critically ill patient with COVID 19 pneumonia. The aforementioned limitations of plasma therapy can be overcome by using selective apheresis methods, such as double-filtration plasmapheresis (DFPP).DFPP is a modality of plasma purification that performs an initial plasma separation from blood, and the subsequent separation of specific molecules, on the basis of their specific molecular weight (cut-off), by using a fractionation filter. The Fractionation Filter 2A20, because of its membrane sieving cut-off, retains larger molecules and returns plasma along with smaller molecules to the circulation, including the major part of the albumin. The selection of the membrane 2A20 is related to the appropriate Sieving Coefficient for IgG that allows to efficiently collect antibodies from patients which are recovered from COVID-19, with negligible fluid losses and limited removal of albumin. The total amount of antibodies obtained during one DFPP session exceeds by three to four times the total amount provided to recipients with one unit of plasma obtained during one plasma-exchange session from one COVID-19 convalescent donor. This should result in more effective viral inhibition and larger benefit for the patient achieved with one unit of enriched immunoglobulin solution obtained with DFPP than with one unit of plasma obtained with plasma exchange. These observations provide the background for a pilot study aimed to explore whether the infusion of antibodies obtained with one single DFPP procedure from voluntary convalescent donors could offer an effective and safe therapeutic option for critically ill patients with severe coronavirus (COVID-19) pneumonia requiring mechanical ventilation.

NCT04346589
Conditions
  1. Pneumonia, Ventilator-Associated
  2. Coronavirus Infection
Interventions
  1. Biological: Anti-coronavirus antibodies (immunoglobulins)obtained with DFPP from convalescent patients
MeSH:Pneumonia, Ventilator-Associated Coronavirus Infections Severe Acute Respiratory Syndrome Pneumonia
HPO:Pneumonia

Primary Outcomes

Measure: Number of mechanical ventilation days.

Time: Through study completion, an average of 6 months.

Secondary Outcomes

Measure: Survival

Time: Through study completion, an average of 6 months.

Measure: Shift to Continuous Positive Airway Pressure (CPAP) ventilation

Time: Through study completion, an average of 6 months.

Measure: Referral to a sub-intensive care unit or discharge

Time: Through study completion, an average of 6 months.

Measure: Viral titer

Time: Changes from before Ig administration, one day and one week after Ig administration and every week after discharge from the intensive care unit through study completion, an average of 6 months.

Measure: Anti COVID 19 IgG antibodies

Time: Changes from before Ig administration, one day and one week after Ig administration and every week after discharge from the intensive care unit through study completion, an average of 6 months.

Measure: Anti COVID 19 IgM antibodies

Time: Changes from before Ig administration, one day and one week after Ig administration and every week after discharge from the intensive care unit through study completion, an average of 6 months.

Description: Marker of complement activation in plasma.

Measure: C5a concentration

Time: Changes from before Ig administration, one day and one week after Ig administration and every week after discharge from the intensive care unit through study completion, an average of 6 months.

Description: Marker of complement activation in plasma.

Measure: C3a concentration

Time: Changes from before Ig administration, one day and one week after Ig administration and every week after discharge from the intensive care unit through study completion, an average of 6 months.

Description: Marker of complement activation in plasma.

Measure: Serum C5b-9 concentration

Time: Changes from before Ig administration, one day and one week after Ig administration and every week after discharge from the intensive care unit through study completion, an average of 6 months.
8 How COVID-19 Virus Outbreak Affects Antimicrobial Resistance in a Low-middle-income Country's ICU?

A previous study showed a high incidence of ventilator-associated pneumonia to multidrug resistant pathogens in our ICU. That has been related to lack of compliance to hand hygiene among health care providers in ou ICU.

NCT04348227
Conditions
  1. Ventilator Associated Pneumonia
Interventions
  1. Behavioral: Enhanced hygiene measures
MeSH:Pneumonia, Ventilator-Associated Pneumonia
HPO:Pneumonia

Primary Outcomes

Description: Incidence of MDR bacteria in endotracheal aspirates

Measure: MDR pathogens in endotracheal aspirates

Time: 1 year

Secondary Outcomes

Description: Incidence of microorganisms in endotracheal aspirates

Measure: Microorganisms in endotracheal aspirates

Time: 1 year
9 Epidemiology and Outcome of Ventilator-associated Pneumonia Among Critically Ill COVID-19 Patients

The aim of this study is to determine the risk factors for development of ventilator-associated pneumonia (VAP) and to identify the prognostic factors of VAP among Coronavirus Disease 2019 (CoViD-19) patients. We hypothesized that CoViD-19 serves as a high risk factor for the development of VAP and it affects clinical outcome measures negatively.

NCT04372576
Conditions
  1. Ventilator Associated Pneumonia
  2. Corona Virus Infection
Interventions
  1. Diagnostic Test: Assessment of ventilator-associated pneumonia criteria
MeSH:Pneumonia, Ventilator-Associated Coronavirus Infections Severe Acute Respiratory Syndrome Pneumonia
HPO:Pneumonia

Primary Outcomes

Measure: 28-day all-cause mortality

Time: at study completion, anticipated 5 months

Secondary Outcomes

Measure: Days of mechanical ventilation

Time: average time frame expected 2-3 weeks

Measure: ICU length-of-stay

Time: average time frame expected 3-4 weeks

Measure: Antibiotic utilization

Time: average time frame expected 3-4 weeks (at discharge from ICU)

Measure: Ventilator-associated pneumonia rate

Time: at study completion, anticipated 5 months
10 Pathogens Involved in Secondary Infections During Severe Forms of Covid-19 Pneumonia: COVAP Study

A Respiratory infection with the SARS-CoV2 virus is associated with a major risk of viral pneumonia that can lead to respiratory distress requiring resuscitation. In the most severe forms, it may require mechanical ventilation or even lead to an acute respiratory distress syndrome with a particularly poor prognosis. The SARS-CoV2 is a single-stranded RNA virus of positive polarity and belongs to the beta genus of Coronaviruses. SARS-CoV2 is responsible for the third epidemic in less than twenty years secondary to a Coronavirus (SARS-CoV then MERS-CoV) and if the mortality associated with it is lower than that of previous strains, notably MERS-CoV, its spread is considerably big. As a result, the number of patients developing respiratory distress requiring invasive mechanical ventilation is high, with prolonged ventilation duration in these situations

NCT04488510
Conditions
  1. Covid19
  2. Ventilator Associated Pneumonia
  3. Nosocomial Pneumonia
MeSH:Pneumonia, Ventilator-Associated Healthcare-Associated Pneumonia Coinfection Pneumonia
HPO:Pneumonia

Primary Outcomes

Description: Establishing a biobank of the bacterial agents responsible for nosocomial pneumonia acquired under mechanical ventilation in order to: better understand the particularities of the bacteria responsible and obtain the "clinical" strains for in vitro studies that will be carried out secondarily.

Measure: Research of the bacteria responsible for nosocomial pneumonia

Time: 6 months

Secondary Outcomes

Description: Evaluation of the adhesion properties to the bronchial epithelium (LPS peculiarities of Gram-negative bacteria, the interaction with the virus in in vitro models and the different molecules of interest in the collected bronchial secretions).

Measure: Additional evaluations to the study

Time: 6 months

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Reports

Data processed on September 26, 2020.

An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.

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