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Name (Synonyms) | Correlation | |
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drug3963 | Tests Wiki | 0.30 |
drug3786 | Stool collection or fecal swab Wiki | 0.30 |
drug4159 | Urine sample Wiki | 0.30 |
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drug3144 | Public space exposure Wiki | 0.30 |
drug1762 | Human Coach first, then Virtual Assistant Wiki | 0.30 |
drug4232 | Virtual Assistant first, then Human Coach Wiki | 0.30 |
drug1382 | End tidal breath sample Wiki | 0.30 |
drug2202 | Low or upper respiratory tract sample Wiki | 0.30 |
drug4647 | phone call Wiki | 0.30 |
drug3601 | Serum tube collection Wiki | 0.30 |
drug3691 | Sputum sample Wiki | 0.30 |
drug4329 | Yoga Nidra Wiki | 0.30 |
drug610 | Blood sample for whole genome sequencing Wiki | 0.30 |
drug1539 | Fisetin Wiki | 0.21 |
drug1160 | Data collection Wiki | 0.15 |
drug2512 | Nasopharyngeal swab Wiki | 0.11 |
drug2916 | Placebo Wiki | 0.01 |
Name (Synonyms) | Correlation | |
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D050497 | Stillbirth NIH | 0.21 |
D007752 | Obstetric Labor, Premature NIH | 0.17 |
D001008 | Anxiety Disorders NIH | 0.13 |
Name (Synonyms) | Correlation | |
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D007246 | Infertility NIH | 0.11 |
D012120 | Respiration Disorders NIH | 0.07 |
D007251 | Influenza, Human NIH | 0.06 |
D012140 | Respiratory Tract Diseases NIH | 0.06 |
D003141 | Communicable Diseases NIH | 0.04 |
D007239 | Infection NIH | 0.04 |
D045169 | Severe Acute Respiratory Syndrome NIH | 0.04 |
D018352 | Coronavirus Infections NIH | 0.03 |
Name (Synonyms) | Correlation | |
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HP:0003826 | Stillbirth HPO | 0.21 |
HP:0000789 | Infertility HPO | 0.11 |
Navigate: Correlations HPO
There are 11 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 1Rationale : The emergence of the novel, pathogenic SARS-coronavirus 2 (SARS-CoV-2) threatens public health. To date, there are no effective drug option to prevent the infection, nor therapeutics for controlling the deadly COVID-19. However, the majority of patients infected with SARS-Cov-2 eliminate the virus by mounting a protective antiviral immune response, associated in particular with the production of neutralizing antibodies. Neutralizing antibodies could be of particular interest for therapeutic purposes, but also for preventive applications, to protect people who have never been in contact with the virus, or immunocompromised patients. The objectives of this study are : - To generate human monoclonal antibodies neutralizing SARS-Cov-2 from immortalized B cells of convalescent patients. - To compare the serological profiles between convalescent patients that develop mild or uncomplicated illness and convalescent patients that develop a more severe disease, that required hospitalization and oxygen support. - To compare for each patient the neutralizing efficiency of plasma to the neutralizing capacities of the monoclonal antibodies generated with immortalized B cells.
Description: Isolation of immortalized B lymphocyte clones, producer of monoclonal antibodies capable of neutralizing the infection of a target cell by SARS-COV-2.
Measure: Production of several human monoclonal antibodies capable of neutralizing the infection of a target cell by SARS-COV-2. Time: 3 weeksThe new Severe acute respiratory syndrome coronavirus (SARS-CoV-2) named coronavirus disease 2019 (COVID-19) is currently responsible for a pandemic spread of febrile respiratory infections, responsible for a veritable global health crisis. In adults, several evolutionary patterns are observed: i) a/pauci-symptomatic forms; ii) severe forms immediately linked to rare extensive viral pneumonia; and iii) forms of moderate severity, some of which progress to secondary aggravation (Day 7-Day 10). Children can be affected, but are more rarely symptomatic and severe pediatric forms are exceptional. Like some other coronaviruses (SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV)), these differences in clinical expression could be based on a variability in the immunological response, notably either via inhibition of the type I interferon (IFN-I) response, or on the contrary an immunological dysregulation responsible for a "cytokine storm" associated with the aggravation. Little is known about the impact of these innate immune response abnormalities on the adaptive response. In addition, certain genetic factors predisposing to a state of "hyper-fragility" and certain viral virulence factors could also be predictive of the clinical response. In this context, the main hypothesis is that the virological analysis and the initial biological and immunological profiles are correlated with the initial clinical presentation of COVID-19 infection. In particular, children forms and pauci-symptomatic disease in adults may be linked to a more robust innate immune response, including better production of IFN-I.
Description: Describe the immune response (biological profile in blood samples) of children and adults with COVID-19 infection and correlate it with the initial clinical presentation measurement of the following parameters in blood at time of inclusion: white blood cell count, C-reactive protein, procalcitonin, hepatic and renal functions, ferritin, vitamin C and D, fibrinogen, prothrombin time test and partial thromboplastin time in order to correlate them with the initial clinical presentation.
Measure: Initial biological profile of children and adults with COVID-19 infection Time: Day 0Description: measurement of the following parameters in blood at time of inclusion: interferon alpha and gamma, Tumor necrosis factor (TNF) alpha, interleukins 6 and 10, transcriptomic signature of interferon, lymphocyte phenotyping and monocyte Human Leukocyte Antigen - DR isotype (HLA-DR) expression in order to correlate them with the initial clinical presentation.
Measure: Initial immunological profile of children and adults with COVID-19 infection Time: Day 0Description: Determine whether the initial biological and immunological profiles (see primary outcome measures) are predictive of a secondary worsening (i.e., admission to intensive care unit, and/or increase in NEWS-2 score, and/or increase in oxygen dependence level) of COVID-19 infection
Measure: Clinical worsening Time: Within 21 days following inclusionDescription: measurement of the following parameters in blood at day 7, and at time of worsening: interferon alpha and gamma, TNF alpha, interleukins 6 and 10, transcriptomic signature of interferon, lymphocyte phenotyping and monocyte HLA-DR expression in order to correlate them with with the secondary worsening
Measure: Evolution of the immunological profile of children and adults with COVID-19 Time: Within 21 days following inclusionDescription: Nasopharyngeal swabs SARS-CoV-2 viral loads (copies/mL) measured at day 0 and correlation to the initial clinical presentation
Measure: Nasopharyngeal swabs SARS-CoV-2 viral loads of children and adults with COVID-19 Time: Day 0Description: Serological SARS-CoV-2 results (titers in specific Immunoglobulin G (IgG) antibodies) measured at day 0 and correlation to the initial clinical presentation
Measure: titers in specific Immunoglobulin G (IgG) antibodies of children and adults with COVID-19 Time: Day 0Description: Serological SARS-CoV-2 results (titers in specific Immunoglobulin M (IgM) antibodies) measured at day 0 and correlation to the initial clinical presentation
Measure: titers in specific Immunoglobulin M (IgM) antibodies of children and adults with COVID-19 Time: Day 0Description: Nasopharyngeal swabs SARS-CoV-2 viral loads (copies/mL) measured within 21 days following inclusion, and correlation to the secondary worsening
Measure: Nasopharyngeal swabs SARS-CoV-2 viral loads of children and adults with COVID-19 Time: Within 21 days following inclusionDescription: Serological SARS-CoV-2 results (titers in specific Immunoglobulin G (IgG) antibodies) measured within 21 days following inclusion, and correlation to the secondary worsening
Measure: titers in specific Immunoglobulin G (IgG) antibodies of children and adults with COVID-19 Time: Within 21 days following inclusionDescription: Serological SARS-CoV-2 results (titers in specific Immunoglobulin M (IgM) antibodies) measured within 21 days following inclusion, and correlation to the secondary worsening
Measure: titers in specific Immunoglobulin G (IgM) antibodies of children and adults with COVID-19 Time: Within 21 days following inclusionDescription: Genotyping using the whole exome sequencing technic (by Illumina HiSEQ 2500) in order to correlate with the initial clinical presentation.
Measure: Genetic profile of adults with COVID-19 infection Time: Day 0Description: Genotyping using the whole exome sequencing technic (Illumina HiSEQ 2500) in order to correlate with with the secondary worsening
Measure: Genetic profile of adults with COVID-19 infection Time: Within 21 days following inclusionCOVID/Homeless is a prospective observational cohort study of homeless people to determine the impact of the SARS-CoV-2 epidemic on this population. The cohort aims for exhaustiveness for the city of Marseille, being based on the active files of the partner teams, namely the four emergency shelters of Marseille and 12 outreach teams (including one specialized in psychiatry, three specialized in addictions, and three working in squats and shantytowns). Aims of this cohort include to identify of the prognostic factors of morbi-mortality of homeless people by COVID-19, and therefore to propose appropriate management strategies.
Description: The mortality rate is determined by the initial clinical diagnosis and follow-up of the patient by the field team.
Measure: the covid mortality rate Time: 90 daysCOVID/Homeless is a prospective observational cohort study of homeless people to determine the impact of the SARS-CoV-2 epidemic on this population. The cohort aims for exhaustiveness for the city of Marseille, being based on the active files of the partner teams, namely the four emergency shelters of Marseille and 12 outreach teams (including one specialized in psychiatry, three specialized in addictions, and three working in squats and shantytowns). Aims of this cohort include to identify of the prognostic factors of morbi-mortality of homeless people by COVID-19, and therefore to propose appropriate management strategies.
Description: The mortality rate is determined by the initial clinical diagnosis and follow-up of the patient by the field team.
Measure: the covid mortality rate Time: 90 daysBackground: The preventive containment measures implemented in the COVID-19 pandemic are not feasible in chronic hemodialysis patients (HD) who need to attend their dialysis sessions 3 times a week. HD patients display frequent comorbidities (such as diabetes and cardiovascular disease), and immune deficiency, which expose them to an increased risk of severe forms of COVID-19. They can be infected in their dialysis center despite the measures taken to limit this risk. Their caregivers are also at risk of infection if patients carry the virus. Dialysis centers face major organizational challenges in terms of patient and caregiver safety. Knowing the viral serological status of HD patients and caregivers, the proportion of asymptomatic forms, and the persistence and effectiveness of immunization over time would be of major interest for patient management and the organization of dialysis care. Research objectives: The primary objective of SeroCOVIDial is to assess the prevalence of SARS-COV2 seroconversion at inclusion (M0) in a cohort of HD patients, using the rapid serological test. Secondary Objectives : 1) assess the prevalence of SARS-COV2 seroconversion in dialysis caregivers at M0, using the same test; 2) assess the proportion of asymptomatic forms of COVID-19 in HD patients and in their caregivers; 3) compare the prevalence of seroconversion and the proportion of asymptomatic forms in HD patients according to their clinical characteristics and co-morbidities; 4) assess the prevalence of SARS-COV2 seroconversion in participants who had a documented COVID-19; 5) evaluate the spread of the epidemic and the kinetics of seroconversion in patients and caregivers by a second test performed at M3; 6) evaluate the predictive value of SARS-COV2 seroconversion at M0 on the risk of developing a symptomatic COVID-19 infection within 6 months, in patients and caregivers; 7) evaluate a posteriori the intrinsic diagnostic performances of the test in comparison with serological gold standards (ELISA and seroneutralization). Methods: Multicenter cohort study, carried out in 4 dialysis facilities in Aix-Marseille. Procedure: collection of clinical data and rapid serological tests carried out at M0 and M3, in patients and caregivers (a systematic screening for COVID-19 symptoms has been carried out in all HD patients in the 4 participating centers since the beginning of the pandemic in France). Number of participants: 800 eligible persons (561 HD patients, and 239 caregivers). Material tested: rapid Biosynex serological test on 1 drop of blood, and 1 tube of frozen serum for patients at M0 and M3. Clinical data will also be collected. Primary endpoint: prevalence of SARS-COV2 seroconversion in HD patients. Maximum duration of participation for each patient: 6 months. Duration of research: 6 months and 2 weeks (inclusions over 2 weeks).
Description: Proportion of positive patients out of the total number of patients tested
Measure: The prevalence of SARS-COV2 seroconversion in chronic hemodialysis patients Time: 6 monthsDescription: Proportion of positive caregivers out of the total number of caregivers tested
Measure: The prevalence of SARS-COV2 seroconversion in dialysis caregivers Time: 6 monthsRecently, the world was shaken awake by a pandemic caused by a novel coronavirus SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2). In most nations drastic isolation measures were taken to minimize the further spread of the Coronavirus Disease 2019 (COVID-19). Being the first pandemic sparked by a Coronavirus, little was known on COVID-19 and its implications on general health. Our understanding on the virus and its potential effects on health is growing. In Belgium, the situation is stabilizing, and doctors and healthcare workers are slowly recommencing routine work and consultations. As also fertility treatments were abruptly interrupted, many patients are in need to resume their treatment. The limited evidence of SARS-CoV-2 on pregnancy seems to be rather satisfying1, but practically nothing is known about the possible impact of an active SARS-CoV-2 infection on female gametes. Viral transmission occurs predominantly through respiratory droplets, but transmission to gametes cannot be ruled out. Since the onset of the pandemic, knowledge about the molecular details of SARS-CoV-2 infection rapidly grew. Coronaviruses are enveloped RNA viruses. For a virus to deliver their genome into the host cell, attachment and entrance into that cell is a crucial step. The coronavirus surface protein spike (S) mediates entry into target cells by binding to a cellular receptor and subsequent fusing of the viral envelope with a host cell membrane. The SARS-CoV-2-S protein (SARS-S) utilizes angiotensin-converting enzyme 2 (ACE2) as a receptor for host cell entry. Host proteases such as transmembrane serine protease 2 (TMPRSS2) are then needed to cleave the viral S protein, allow-ing permanent fusion of the viral and host cell membranes2. Expression of ACE2 and TMPRSS2 has been shown in testicular, uterine and placental cells. Based on available transcriptomic data, co-expression of ACE2 and TMPRSS2 is also seen on oocyte level, but the possible impact on reproduction is unknown. The BSG (basigin or CD147), a receptor on host cells, was also identified as a possible route for viral invasion.
Description: Identification of viral RNA in cumulus-oocyte-complexes, exclusively looking at the material that is considered waste material in a normal oocyte retrieval
Measure: Presence or absence of SARS-CoV-2 in follicular fluid, cumulus cells, immature oocytes and endometrium Time: 1 dayDescription: Presence of receptors, identified as possible steps in the entry pathway for SARS-CoV-2
Measure: Presence of ACE2, TMPRSS and BSG receptors in cumulus cells, immature oocytes and endometrium Time: 1 dayObservational and prospective study with one year of follow-up of the cohort of workers of the CSdM, including workers of subcontracted companies working in the Hospital of Mataró (2,300 workers approximately) and with controls at baseline and at 3, 6, 9 and 12 months. All CSdM workers will be invited to participate by e-mail and by announcements in the corporate website. A space will be set up on the corporate intranet where workers will be informed about the study, will be able to give their informed consent and will be able to answer an electronic questionnaire regarding socio-demographic, clinical and labour personal characteristics. Once the questionnaire answered, participants will be authorized to schedule a blood extraction. Prevalence of antibodies against SARS-CoV-2 will be analyzed (IgA, IgM, IgG). PCR will be also performed for IgM and IgA positive subjects.
Description: Screening for the entire population with total IgA, IgM, IgG to screen the negatives ELISA for positives with differentiated IgM+IgA vs IgG specific for SARS-Cov-2 seroprevalence of SARS-CoV-2 antibodies and their evolution over a year; b) help minimize the risk of infection in CSdM professionals; c) contribute to the improvement of knowledge about the infection and the social and occupational factors that affect its spread; and d) allow in the future to identify the duration of immunity against SARS-CoV-2.
Measure: Antibodies to SARS-CoV2: IgA, IgM, IgG Time: 1 yearDescription: To detect symptomatic or asymptomatic carriers New diagnostics of COVID19 confirmed by PCR of nasopharyngeal smears
Measure: PCR of nasopharyngeal smears on all IgM + Time: 1 yearAmong the distinctive features of Covid-19, numerous reports have stressed the importance of vascular damages associated with coagulopathy onset. Microparticles (MPs) shed by apoptotic/stimulated cells are reliable markers of vascular damage released upon pro-inflammatory conditions and behave as active participants in the early steps of clot formation. In addition, MPs carry ACE1 and ACE2, the cell-entry receptor for SARS-Cov2 in the vasculature and up-regulate ACE1 expression in neighbouring endothelial cells. This may contribute to unopposed angiotensin II accumulation which further exacerbate tissue injury and promote both inflammation and thrombosis. The aim of the study is to evaluate the impact of circulating MPs on ACE2 expression, the cell-entry receptor for SARS-Cov2 on endothelial cells.
Serological surveys measuring anti-severe acute respiratory syndrome coronavirus 2 (anti-SARS-CoV-2) antibodies in the population to assess the extent of the infection and the COVID-19 immunity of the population in French Guiana.
Description: The COVID-19 immunity of the population will be assessed by evaluating the anti-severe acute respiratory syndrome coronavirus 2 (anti-SARS-CoV-2) antibodies
Measure: Measure of the COVID-19 immunity of the population Time: 1 yearDescription: The proportion of asymptomatic and pauci-symptomatic infections will be measured in the population
Measure: Evaluation of the level of asymptomatic and pauci-symptomatic infections Time: 1 yearThe proposed study is designed to investigate if and how pregnant women infected with Coronavirus Disease-19 (COVID-19) infection go on to develop long-term immunity. In December 2019, a group of people in Wuhan, China presented with symptoms of a pneumonia of an unknown cause that led to the discovery of a new coronavirus called COVID-19. COVID-19 has caused a global pandemic with 7,140,000 confirmed cases and 418,000 deaths as of 13th June 2020. In the United Kingdom (UK), there have been 294,000 cases and 41,662 deaths as of 13th June 2020. In humans, this infection primarily involves the upper part of the lungs, but it can also affect other organs. It causes mild symptoms in the majority of people affected but some people can have severe infections, with some even requiring critical care in hospital. During Severe acute respiratory syndrome (SARS), a previous coronavirus epidemic, pregnant women were disproportionately affected with severe illness. Understanding how the immune system responds long-term to this infection may hold the key to developing better vaccines and efficient treatment plans. Specialised immunity develops when individuals are infected by this and other viruses. The investigators of this study propose that, in pregnancy, this specialised immunity may not behave effectively. This may affect their ability to develop long lasting immunity and make them more vulnerable to re-infection. In this study, the investigators aim to recruit patients across 6 groups including COVID-19 newly infected pregnant women, and people with differing illness severity, mild to moderate, severe/critical, no infection (controls), as well as pregnant women with influenza and those receiving influenza vaccine. The study team will compare COVID-19 in pregnancy with non-pregnant infected and with influenza infected and vaccinated pregnant women. The study team will consent patients in all of these groups to provide a series of blood samples at different time points in a 12-month period.
Description: Devise a flow cytometry panel to phenotype B cells.
Measure: Phenotyping antibody secreting cells (ASCs) and memory B cells during COVID-19 infection, and post recovery. Time: Groups A, B, D: Between 4 months with a minimum of 2 time points (i.e. 8 and 12 months), and 12 months with a maximum 5 time points (i.e. 7-14 days, then 1, 4, 8, 12 months) post infection. Group C: 1 day. 1 time point.Description: B cell ELISpot assay and quantify Immunoglobulin A (IgA) and IgG using Enzyme-linked immunosorbent assay (ELISA) from plasma and/or serum from COVID-19 recovered individuals.
Measure: Quantification of SARS-CoV-2 specific IgG production by memory B cells to measure long-lasting immune protection against re-infection. Time: Groups A, B, D: Between 4 months with a minimum of 2 time points (i.e. 8 and 12 months), and 12 months with a maximum 5 time points (i.e. 7-14 days, then 1, 4, 8, 12 months) post infection. Group C: 1 day. 1 time point.Description: Use real-time PCR (RT-PCR) and nested PCR to detect SARS-CoV-2 viral load
Measure: Quantification of SARS-COV-2 viral load using PCR. Time: Groups A, B, D: at 7-14 days and during recovery phase. Group C: 1 day. 1 time point.Description: Devise a flow cytometry panel to phenotype cTFH cells.
Measure: Immuno-phenotype circulatory T follicular helper cells (cTFH) cells post SARS-CoV-2 infection. Time: Groups A, B, D: at 7-14 days post infection or vaccination. Group C: 1 day. 1 time point.Description: Use a combination of flow cytometry, enzyme-linked immunospot (ELISpot) assays, and DNA/RNA analysis.
Measure: Investigating T cell mediated immune function post COVID-19 Time: Groups A, B, D: Between 4 months with a minimum of 2 time points (i.e. 8 and 12 months), and 12 months with a maximum 5 time points (i.e. 7-14 days, then 1, 4, 8, 12 months) post infection/vaccination. Group C: 1 day. 1 time point.Description: Parameters including antibody titres, cTFH and memory B cell and ASC proportions, and T cell function will be compared between COVID-19 infected, and influenza infected and vaccinated pregnant women.
Measure: In pregnancy, comparing antibody production, and immune phenotype and function (as outlined above) between COVID-19 infection, and influenza infected or vaccinated. Time: Groups A, B, D, E and F: Between 4 months with a minimum of 2 time points (i.e. 8 and 12 months), and 12 months with a maximum 5 time points (i.e. 7-14 days, then 1, 4, 8, 12 months) post infection/vaccination. Group C: 1 day. 1 time point.Alphabetical listing of all HPO terms. Navigate: Correlations Clinical Trials
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.
Drug Reports MeSH Reports HPO Reports