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Sections: Correlations,
Clinical Trials, and HPO
Navigate: Clinical Trials and HPO
Name (Synonyms) | Correlation | |
---|---|---|
drug1087 | ECG from handheld device Wiki | 0.35 |
drug245 | Antibody testing Wiki | 0.35 |
drug3630 | YinHu QingWen Decoction(low dose) Wiki | 0.35 |
Name (Synonyms) | Correlation | |
---|---|---|
drug4032 | standard western medicine treatment Wiki | 0.35 |
drug2400 | Pemziviptadil (PB1046) Wiki | 0.35 |
drug1828 | Low Dose (10 mg) Control Wiki | 0.35 |
drug3278 | Tele-medicine platform Wiki | 0.35 |
drug3629 | YinHu QingWen Decoction Wiki | 0.35 |
drug735 | Chinese medicine treatment Wiki | 0.35 |
drug751 | Choices and judgements Wiki | 0.35 |
drug581 | COVID visitation restrictions Wiki | 0.35 |
drug56 | 50 mg/mL Virazole Wiki | 0.25 |
drug25 | 100 mg/mL Virazole Wiki | 0.25 |
drug2153 | Nitazoxanide Wiki | 0.09 |
drug2448 | Placebo Wiki | 0.02 |
Name (Synonyms) | Correlation | |
---|---|---|
D006333 | Heart Failure NIH | 1.00 |
D013896 | Thoracic Diseases NIH | 0.35 |
D000787 | Angina Pectoris NIH | 0.35 |
Name (Synonyms) | Correlation | |
---|---|---|
D011660 | Pulmonary Heart Disease NIH | 0.35 |
D054143 | Heart Failure, Systolic NIH | 0.35 |
D000075902 | Clinical Deterioration NIH | 0.25 |
D011654 | Pulmonary Edema NIH | 0.20 |
D002318 | Cardiovascular Diseases NIH | 0.18 |
D054058 | Acute Coronary Syndrome NIH | 0.18 |
D003327 | Coronary Disease NIH | 0.18 |
D003324 | Coronary Artery Disease NIH | 0.18 |
D003693 | Delirium NIH | 0.16 |
D011665 | Pulmonary Valve Insufficiency NIH | 0.13 |
D006331 | Heart Diseases NIH | 0.13 |
D009203 | Myocardial Ischemia NIH | 0.10 |
D013577 | Syndrome NIH | 0.07 |
D007249 | Inflammation NIH | 0.07 |
D016638 | Critical Illness NIH | 0.04 |
D012127 | Respiratory Distress Syndrome, Newborn NIH | 0.03 |
D055371 | Acute Lung Injury NIH | 0.03 |
D012128 | Respiratory Distress Syndrome, Adult NIH | 0.03 |
D011014 | Pneumonia NIH | 0.02 |
D045169 | Severe Acute Respiratory Syndrome NIH | 0.01 |
D018352 | Coronavirus Infections NIH | 0.01 |
Name (Synonyms) | Correlation | |
---|---|---|
HP:0001681 | Angina pectoris HPO | 0.35 |
HP:0001648 | Cor pulmonale HPO | 0.35 |
HP:0100598 | Pulmonary edema HPO | 0.20 |
Name (Synonyms) | Correlation | |
---|---|---|
HP:0001677 | Coronary artery atherosclerosis HPO | 0.18 |
HP:0001626 | Abnormality of the cardiovascular system HPO | 0.18 |
HP:0010444 | Pulmonary insufficiency HPO | 0.13 |
HP:0001658 | Myocardial infarction HPO | 0.10 |
HP:0002090 | Pneumonia HPO | 0.02 |
Navigate: Correlations HPO
There are 8 clinical trials
Management of known patients with cardiovascular disease (in particular the whole spectrum of atherosclerotic ischaemic coronary artery disease, essential hypertension under treatment, and also patients with chronic heart failure under medication) and with other associated chronic pathologies, with obvious effects on the management of the pandemic with modern / distance means (e-Health) of patients at high risk of mortality in contact with coronavirus. Given the Covid-19 Pandemic, all the above complex cardiovascular patients are under the obligation to stay in the house isolated and can no longer come to standard clinical and paraclinical monitoring and control visits. Therefore, a remote management solution (tele-medicine) of these patients must be found. The Investigators endeavour is to create an electronic platform to communicate with these patients and offer solutions for their cardiovascular health issues (including psychological and religious problems due to isolation). The Investigators intend to create this platform for communicating with a patient and stratify their complaints in risk levels. A given specialist will sort and classify their needs on a scale, based on specific algorithms (derived from the clinical European Cardiovascular Guidelines), and generate specific protocols varying from 911 like emergencies to cardiological advices or psychological sessions. These could include medication changing of doses, dietary advices or exercise restrictions. Moreover, in those patients suspected of COVID infection, special assistance should be provided per protocol.
Description: Development of an electronic (e-HEALTH) framework structure for management of patients with known cardiovascular disease in COVID19 pandemic social context
Measure: Providing a special electronic platform (e-health) for remote managing cardiovascular outpatients Time: 6 monthsDescription: patients come into direct contact with the case coordinator, who provides ongoing assistance, including for connecting to devices that ensure real-time data transmission and directing to specialist teams that establish stage diagnosis and management / therapy behavior (including adjustment). doses, decisions to discontinue medication or to add medication);
Measure: Number of patients included in this platform Time: 6 monthsDescription: Will be the number of sessions per patient multiplied with the number of patients included
Measure: Number of consultations/sessions given Time: 6 monthsBackground: Coronavirus disease (COVID-19) is a tremendous challenge the modern world has never seen before and is overwhelming the capacities of healthcare systems worldwide. Patients with cardiovascular diseases, heart failure in particular, and cardiovascular risk factors seem to be at a very high risk if affected by COVID-19 - and vice versa there are more and more reports of cardiac manifestations with the viral disease. Aim: The purpose of the study is to characterise the clinical course of adult inpatients with COVID-19 and concomitant cardiovascular affection in a worldwide, multicentre PCHF registry. Methods: Retrospective and prospective data analysis. Data on demographic, clinical, selected laboratory, electrocardiography and echocardiography parameters, treatment and outcome will be collected. The principal investigator provides dedicated electronic case report form. The primary outcome is in-hospital mortality. The secondary endpoints will be ICU length of stay, hospital length of stay, the need and duration of invasive mechanical ventilation, cardiovascular hospitalisation after 3 and 6 months from index hospitalisation, all-cause and cardiovascular mortality after 3 and 6 months from index hospitalisation.
Description: All-cause and cardiovascular mortality during index hospitalization.
Measure: In-hospital mortality. Time: Hospitalization period, assessed up to 30 daysDescription: The duration of hospitalization on the intensive care unit.
Measure: The length of stay in the intensive care unit. Time: Hospitalization period in the ICU, assessed up to 30 daysDescription: The total length of stay in the hospital.
Measure: The duration of hospitalization. Time: Hospitalization period, assessed up to 30 daysThe role of ECMO in the treatment of patients with severe COVID-19 (Acute Respiratory Distress Syndrome (ARDS) and/or acute refractory heart failure) is not yet known. The present study will aim to report the results of the ECMO management of the most severe forms of COVID-19 through the first French ECMO registry.
Description: Hospital mortality
Measure: Hospital mortality Time: up to 90 daysDescription: Mortality Day 28
Measure: Mortality Day 28 Time: Day 28Description: Mortality Day 90
Measure: Mortality Day 90 Time: Day 90Description: Ventilator-free days
Measure: Ventilator-free days Time: Day 28Description: ICU-free days
Measure: Intensive care unit-free days Time: Day 28Description: Hospital-free days
Measure: Hospital-free days Time: Day 28This is a multicenter, randomized, double-blind, parallel group study to investigate the efficacy of pemziviptadil (PB1046) by improving the clinical outcomes in hospitalized COVID-19 patients at high risk for rapid clinical deterioration, acute respiratory distress syndrome (ARDS) and death. The study will enroll approximately 210 hospitalized COVID-19 patients who require urgent decision-making and treatment at approximately 20 centers in the United States.
Description: Composite of: Total hospital days, Total ICU days, Total days of ventilator use, Total days of ECMO, Total days of invasive hemodynamic monitoring, Total days of mechanical circulatory support, Total days of inotropic or vasopressor therapy
Measure: Reduction in hospital resource utilization defined as a composite of: total days: in hospital, in ICU, on ventilator, on ECMO, with invasive hemodynamic monitoring, with mechanical circulatory support, and with inotropic or vasopressor therapy Time: 28 daysThe COVID-19 attack is polymorphic with otorhinolaryngological, pneumological, cardiac, digestive, neurological, muscular attacks with a higher mortality in subjects with comorbidity [> 70 years old, cardiovascular history in particular Arterial hypertension (hypertension ), heart diseaseā¦]. This polymorphism is linked to vasculitis and the immune response. Patients with cardiovascular disease are particularly at risk of decompensating, particularly due to the increased metabolism induced by viral infection and reduced cardiovascular capacities. On the cardiovascular level, two sides can be considered. On the one hand, cardiovascular disease (hypertension, coronary artery disease) is a comorbid factor. On the other hand, the myocardial damage reflected by the increase in troponin or an alteration of the ejection fraction is a very clear risk factor for death or severe form. Cardiovascular involvement is particularly high in hospitalized and deceased patients. The odds ratio calculated in a meta-analysis of severe forms of covid-19 with hypertension is 3 [1.9; 3.1], for cardiovascular pathologies of 2.93 [1.73; 4.96]. Recommendations were made for pulmonary rehabilitation but not for cardiovascular rehabilitation. Cardiac rehabilitation is indicated in most cardiovascular pathologies (after acute coronary syndrome, after coronary angioplasty, in heart failure, after coronary or valve heart surgery, etc.). It consists of a multidisciplinary approach combining therapeutic pharmacological adjustment, physical activity, therapeutic education in order to improve physical capacities for exertion and reduce morbidity and mortality. The physical exercises can be endurance or resistance type. Capacity gain at the end of rehabilitation is measured by visual scales, quality of life questionnaires, and a stress test at the start and end of rehabilitation. Most often, rehabilitation centers only do the stress test and estimate through questioning for subjective improvement. The hypothesis is that patients who contracted COVID-19 would have lower cardiac capacities after recovery from the infection than patients without COVID-19 or that their capacity for recovery would be less. There could be a difference in recovery after cardiac rehabilitation between the two populations regardless of whether the cardiac damage requiring rehabilitation was triggered by COVID-19 or was pre-existing.
Description: This outcome corresponds to the difference between the average gain in exercise capacity after cardiac rehabilitation between the two groups of patients Control and COVID-19.
Measure: Impact of COVID-19 on exercise capacity gain after cardiovascular rehabilitation Time: Month 3Patients are part of a family network. When any person in a family becomes critically unwell and requires the assistance of an Intensive Care Unit (ICU), this has an impact on all members of that family. COVID-19 changed visiting for all patients in hospitals across Scotland. It is not known what effect these restrictions will have on patients' recovery, nor do we understand the impact it may have on their relatives or staff caring for them. This study will look at the implications of the visiting restrictions as a consequence of the COVID-19 pandemic upon patients without COVID-19 who are in the cardiothoracic ICU. It will also explore the impact of these restrictions on them, their relatives and staff. This study will be carried out within a single specialised intensive care unit in Scotland using mixed methods. The first arm of this study will use retrospective data that is routinely collected in normal clinical practice. The investigators will compare patient outcomes prior to COVID-19 with outcomes following the implementation of COVID-19 visiting restrictions. The aim is to establish if the restrictions on visiting has an impact on the duration of delirium. Delirium is an acute mental confusion and is associated with longer hospital stays and worse outcomes in this patient group. The second arm of this study involves semi-structured interviews with patients, relatives and staff that will allow deeper exploration of the issues around current visiting policy. The interviews will last approximately 1 hour and will address these issues. They will then be transcribed word for word and analysed using grounded theory, meaning the theories will develop from the data as it is analysed.
Description: Number of days patient found to have delirium using the Confusion Assessment Method for the ICU (CAM-ICU)
Measure: Duration of delirium Time: From the date of admission to the Intensive Care Unit (ICU) until discharge from the ICU or death, whichever came first, up to 12 months.Description: CAM-ICU
Measure: Incidence of delirium Time: From the date of admission to the Intensive Care Unit (ICU) until discharge from the ICU or death, whichever came first, up to 12 months.Description: Days
Measure: Length of critical care stay Time: From the date of admission to the ICU until discharge from the ICU or death, whichever came first, up to 12 months.Description: Days
Measure: Length of hospital stay Time: From the date of admission to the hospital until discharge from the hospital or death, whichever came first, up to 12 months.Description: Days
Measure: Length of time ventilated Time: From the date of admission to the ICU until discharge from the ICU or death, whichever came first, up to 12 months.Description: Semi structured interviews
Measure: Exploring the experiences of patients, relatives and staff of the visitation restrictions during the COVID-19 pandemic Time: 18 monthsAbbreviations/acronyms: DUO-EF = prediction of ejection fraction (EF) using the Eko-DUO digital stethoscope algorithm HF = heart failure HFrEF = heart failure with reduced ejection fraction COVID-19 = coronavirus disease 2019 Eko DUO = digital stethoscope device cMRI = cardiac magnetic resonance imaging ECG = electrocardiogram Prospective observational study of left ventricular ejection fraction predicted by application of artificial intelligence to single-lead ECG acquired by a digital stethoscope; in the post-covid-19 follow up clinic, in patients presenting with heart failure symptoms in primary care, and in patients attending for echocardiography and cardiac MRI.
Description: Area under curve (AUC) where maximum value is '1', describing ability of algorithm to discriminate low from not-low ejection fraction
Measure: Area under receiver operating curve Time: up to 18 monthsAlthough COVID-19 affects primarily the respiratory system, several studies have shown evidence of cardiovascular alterations. Increased troponin levels were observed in a significant proportion of patients and this alteration was associated with higher mortality. In addition, case reports of cardiogenic shock or fulminant myocarditis have been communicated. Likewise, pulmonary embolism (PE), right ventricle dilation, and acute cor pulmonale (ACP) have also been described. Therefore, investigating cardiac function in COVID-19 is highly relevant, particularly in critically ill patients who are usually under sedation and mechanical ventilation, which may further impair cardiovascular function. Thus the objective is to determine the prevalence of left ventricle dysfunction and acute cor pulmonale, and its association with respiratory mechanics, in 100 consecutive critically ill COVID-19 patients, who were assessed with critical care echocardiography (CCE) within the first 24 hours of mechanical ventilation.
Description: Hypokinetic left ventricle function (left ventricle ejection fraction <45%)
Measure: Percentage of patients with left ventricle dysfunction (hypokinetic) Time: 3 monthDescription: Acute cor pulmonale was defined as a dilated right ventricle (right ventricle end-diastolic area/left ventricle end-diastolic area ratio >0.6) associated with the presence of paradoxical septum motion
Measure: Percentage of patients with acute cor pulmonale Time: 3 monthDescription: Respiratory system compliance is defined as the change in lung volume (Tidal volume, ml) produced by a unit change in pulmonary pressure (driving pressure, cmH2O). The reported value of respiratory system compliance will be reported in ml/cmH2O.
Measure: Differences in respiratory system compliance between patients with and without acute cor pulmonale Time: Within the first 24 hours of mechanical ventilation.Description: Partial arterial pressure of carbon dioxide will be reported in mmHg.
Measure: Differences in partial arterial pressure of carbon dioxide (PCO2) between patients with and without acute cor pulmonale Time: Within the first 24 hours of mechanical ventilation.Description: PaO2/FiO2 ratio is the ratio of arterial oxygen partial pressure (PaO2 in mmHg) to fractional inspired oxygen (FiO2 expressed as a fraction). The reported value is a positive integer.
Measure: Differences in PaO2/FiO2 ratio between patients with and without acute cor pulmonale Time: Within the first 24 hours of mechanical ventilation.Alphabetical listing of all HPO terms. Navigate: Correlations Clinical Trials
Data processed on December 13, 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