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D006333: Heart Failure

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 (13)


Name (Synonyms) Correlation
drug593 COVID visitation restrictions Wiki 0.33
drug241 Anti-SARS-CoV-2 equine immunoglobulin fragments (INOSARS) Wiki 0.33
drug1865 Low Dose (10 mg) Control Wiki 0.33
Name (Synonyms) Correlation
drug750 Chest physiotherapy using a non-invasive oscillating device Wiki 0.33
drug3333 Tele-medicine platform Wiki 0.33
drug764 Chlorpromazine Wiki 0.33
drug1109 ECG from handheld device Wiki 0.33
drug24 10% Povidone-iodine nasal decolonization swab plus 0.12% CHG oral rinse Wiki 0.33
drug1250 Exposure to telemedicine, after the onset of the pandemic Wiki 0.33
drug2442 Pemziviptadil (PB1046) Wiki 0.33
drug3637 Vitamin Super B-Complex Wiki 0.19
drug2192 Nitazoxanide Wiki 0.09
drug2490 Placebo Wiki 0.03

Correlated MeSH Terms (25)


Name (Synonyms) Correlation
D013896 Thoracic Diseases NIH 0.33
D000787 Angina Pectoris NIH 0.33
D011660 Pulmonary Heart Disease NIH 0.33
Name (Synonyms) Correlation
D054143 Heart Failure, Systolic NIH 0.33
D000075902 Clinical Deterioration NIH 0.24
D011654 Pulmonary Edema NIH 0.19
D002318 Cardiovascular Diseases NIH 0.17
D054058 Acute Coronary Syndrome NIH 0.17
D003327 Coronary Disease NIH 0.17
D003324 Coronary Artery Disease NIH 0.17
D003693 Delirium NIH 0.15
D029424 Pulmonary Disease, Chronic Obstructive NIH 0.13
D011665 Pulmonary Valve Insufficiency NIH 0.13
D006331 Heart Diseases NIH 0.13
D008173 Lung Diseases, Obstructive NIH 0.12
D009203 Myocardial Ischemia NIH 0.10
D013577 Syndrome NIH 0.07
D007249 Inflammation NIH 0.06
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 0.02
D011014 Pneumonia NIH 0.02
D045169 Severe Acute Respiratory Syndrome NIH 0.01
D018352 Coronavirus Infections NIH 0.01

Correlated HPO Terms (9)


Name (Synonyms) Correlation
HP:0001635 Congestive heart failure HPO 0.94
HP:0001681 Angina pectoris HPO 0.33
HP:0001648 Cor pulmonale HPO 0.33
Name (Synonyms) Correlation
HP:0100598 Pulmonary edema HPO 0.19
HP:0001677 Coronary artery atherosclerosis HPO 0.17
HP:0001626 Abnormality of the cardiovascular system HPO 0.17
HP:0010444 Pulmonary insufficiency HPO 0.13
HP:0001658 Myocardial infarction HPO 0.10
HP:0002090 Pneumonia HPO 0.02

Clinical Trials

Navigate: Correlations   HPO

There are 9 clinical trials


1 Integrated Distance Management Strategy for Patients With Cardiovascular Disease (Ischaemic Coronary Artery Disease, High Blood Pressure, Heart Failure) in the Context of the COVID-19 Pandemic

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.

NCT04325867
Conditions
  1. Angina Pectoris
  2. Acute Coronary Syndrome
  3. Coronary Syndrome
  4. Coronary Artery Disease
  5. Angioplasty
  6. Stent Restenosis
  7. Hypertension
  8. Heart Failure, Systolic
  9. Depression, Anxiety
  10. Covid-19
  11. Isolation, Social
Interventions
  1. Other: Tele-medicine platform
MeSH:Heart Failure Cardiovascular Diseases Coronary Artery Disease Myocardial Ischemia Coronary Disease Acute Coronary Syndrome Angina Pectoris Heart Failure, Systolic Syndrome
HPO:Abnormal left ventricular function Abnormality of the cardiovascular system Angina pectoris Congestive heart failure Coronary artery atherosclerosis Myocardial infarction Right ventricular failure

Primary Outcomes

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 months

Description: 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 months

Secondary Outcomes

Description: Will be the number of sessions per patient multiplied with the number of patients included

Measure: Number of consultations/sessions given

Time: 6 months
2 COVID-19 in Hospitalised Patients With Preexisting CArdioVascular Diseases and/or Cardiac Involvement and/or Cardiovascular Risk Factors: the Global PCHF-COVICAV Registry

Background: 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.

NCT04390555
Conditions
  1. COVID-19
  2. Cardiovascular Diseases
  3. Cardiovascular Risk Factor
  4. Heart Failure
MeSH:Heart Failure Cardiovascular Diseases
HPO:Abnormal left ventricular function Abnormality of the cardiovascular system Congestive heart failure Right ventricular failure

Primary Outcomes

Description: All-cause and cardiovascular mortality during index hospitalization.

Measure: In-hospital mortality.

Time: Hospitalization period, assessed up to 30 days

Secondary Outcomes

Description: 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 days

Description: The total length of stay in the hospital.

Measure: The duration of hospitalization.

Time: Hospitalization period, assessed up to 30 days

Measure: The need and duration of invasive mechanical ventilation.

Time: Hospitalization period, assessed up to 30 days

Measure: Hospitalization for cardiovascular causes or cardiovascular deaths within 3 months after hospitalization.

Time: 3 months

Measure: Hospitalization for cardiovascular causes or cardiovascular deaths within 6 months after hospitalization.

Time: 6 months
3 Extracorporeal Membrane Oxygenation (ECMO) as a Therapeutic Option in Severe Form of COVID-19: a Nationwide Cohort Study

The 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.

NCT04397588
Conditions
  1. ARDS Related to Severe Acute Respiratory Syndrome-Coronavirus (SARS-CoV) 2
  2. Acute Refrac
  3. Acute Refractory Heart Failure Related to SARS-CoV 2
MeSH:Coronavirus Infections Severe Acute Respiratory Syndrome Heart Failure
HPO:Abnormal left ventricular function Congestive heart failure Right ventricular failure

Primary Outcomes

Description: Hospital mortality

Measure: Hospital mortality

Time: up to 90 days

Secondary Outcomes

Description: Mortality Day 28

Measure: Mortality Day 28

Time: Day 28

Description: Mortality Day 90

Measure: Mortality Day 90

Time: Day 90

Description: Ventilator-free days

Measure: Ventilator-free days

Time: Day 28

Description: ICU-free days

Measure: Intensive care unit-free days

Time: Day 28

Description: Hospital-free days

Measure: Hospital-free days

Time: Day 28
4 A Randomized, Double-Blind, Parallel Group Study to Assess the Efficacy and Safety of Once Weekly Subcutaneous Injections of Pemziviptadil (PB1046), a Sustained-Release VIP (Vasoactive Intestinal Peptide) ANalogue, in Hospitalized COVID-19 Patients at HiGh Risk for Rapid Clinical Deterioration and ARDS (PB1046 VANGARD Study)

This 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.

NCT04433546
Conditions
  1. Acute Respiratory Distress Syndrome
  2. Coronavirus
  3. Hypoxic Respiratory Failure
  4. Hypoxemic Respiratory Failure
  5. Respiratory Complication
  6. Respiratory Insufficiency
  7. Cardiac Dysfunction
  8. Pneumonia
  9. Pulmonary Edema
  10. Pulmonary Inflammation
  11. Respiratory Failure
  12. Cytokine Storm
  13. COVID 19
  14. SARS-CoV-2
  15. Cardiac Event
  16. Cardiac Complication
  17. Cardiac Failure
  18. Cardiac Infarct
Interventions
  1. Drug: Pemziviptadil (PB1046)
  2. Drug: Low Dose (10 mg) Control
MeSH:Pneumonia Respiratory Distress Syndrome, Newborn Respiratory Distress Syndrome, Adult Respiratory Insufficiency Acute Lung Injury Pulmonary Edema Pulmonary Valve Insufficiency Heart Failure Syndrome Inflammation Clinical Deterioration
HPO:Abnormal left ventricular function Congestive heart failure Pneumonia Pulmonary edema Pulmonary insufficiency Right ventricular failure

Primary Outcomes

Measure: Time to clinical recovery from initiation of pemziviptadil (PB1046)

Time: 28 days

Secondary Outcomes

Measure: Time to clinical recovery (being well enough for hospital discharge or returning to normal baseline activity level prior to discharge)

Time: 28 days

Measure: Time to hospital discharge

Time: Any time point between injection initiation and Day 28

Measure: All-cause mortality

Time: 28 days

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 days

Measure: Time to clinical improvement as defined by reduction of at least 2 points on an 8-category ordinal scale of clinical improvement or discharge from hospital, whichever comes first.

Time: Any time point between injection initiation and Day 28

Measure: Change from baseline in cardiac marker troponin I (TrI)

Time: Any time point between injection initiation and Day 35+7

Measure: Change from baseline in cardiac marker NT-proBNP/BNP

Time: Any time point between injection initiation and Day 35+7

Measure: Change from baseline in TNF alpha

Time: Any time point between injection initiation and Day 35+7

Measure: Change from baseline in IL-1

Time: Any time point between injection initiation and Day 35+7

Measure: Change from baseline in IL-6

Time: Any time point between injection initiation and Day 35+7

Measure: Incidence and severity of any treatment emergent adverse events (TEAEs) or serious adverse events (SAEs) as determined by clinical adverse events (AEs) and their relationship to pemziviptadil (PB1046).

Time: Any time point between injection initiation and Day 35+7

Measure: Incidence and severity of any treatment emergent adverse events (TEAEs) or serious adverse events (SAEs) as determined by vital signs and their relationship to pemziviptadil (PB1046)

Time: Any time point between injection initiation and Day 35+7

Measure: Incidence and severity of any treatment emergent adverse events (TEAEs) or serious adverse events (SAEs) as determined by laboratory results and their relationship to pemziviptadil (PB1046)

Time: Any time point between injection initiation and Day 35+7

Measure: Incidence and severity of any treatment emergent adverse events (TEAEs) or serious adverse events (SAEs) as determined by electrocardiogram (ECG) abnormalities and their relationship to pemziviptadil (PB1046)

Time: Any time point between injection initiation and Day 35+7

Measure: Incidence and severity of any treatment emergent adverse events (TEAEs) or serious adverse events (SAEs) as determined by incidence of anti-drug antibodies and their relationship to pemziviptadil (PB1046)

Time: Any time point between injection initiation and Day 35+7

Other Outcomes

Measure: Impact on invasive hemodynamic parameters as measured by pulmonary artery pressure if patients require right-heart catherization

Time: Any time point between injection initiation and Day 35+7

Measure: Impact on invasive hemodynamic parameters as measured by cardiac output if patients require right-heart catherization

Time: Any time point between injection initiation and Day 35+7

Measure: Incidence of multi-system organ failure (MSOF)

Time: Any time point between injection initiation and Day 35+7

Measure: Number of multi-system organ failure (MSOF) free days

Time: Any time point between injection initiation and Day 35+7

Measure: Number of subjects requiring extracorporeal membrane oxygenation (ECMO)

Time: Any time point between injection initiation and Day 35+7

Measure: Change in circulating ferritin

Time: Any time point between injection initiation and Day 35+7

Measure: Change in circulating D-dimer

Time: Any time point between injection initiation and Day 35+7

Measure: Change in liver function

Time: Any time point between injection initiation and Day 35+7

Measure: Change in other blood chemistry

Time: Any time point between injection initiation and Day 35+7

Measure: Change in hematology

Time: Any time point between injection initiation and Day 35+7

Measure: Change in inflammatory markers

Time: Any time point between injection initiation and Day 35+7

Measure: Change in coagulation markers

Time: Any time point between injection initiation and Day 35+7

Measure: Percent of clinical failure

Time: Any time point between injection initiation and Day 35+7
5 Impact of COVID-19 on the Benefit of Cardiac Rehabilitation

The 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.

NCT04513964
Conditions
  1. Heart Failure
  2. Covid19
MeSH:Heart Failure
HPO:Abnormal left ventricular function Congestive heart failure Right ventricular failure

Primary Outcomes

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 3
6 Absent Visitors: The Wider Implications of COVID-19 on Non-COVID Cardiothoracic ICU Patients, Relatives and Staff

Patients 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.

NCT04538469
Conditions
  1. Cardiovascular Diseases
  2. Delirium
  3. Critical Illness
  4. Intensive Care Unit Delirium
  5. Thoracic Diseases
  6. Respiratory Failure
  7. Cardiac Disease
  8. Cardiac Failure
Interventions
  1. Other: COVID visitation restrictions
MeSH:Respiratory Insufficiency Thoracic Diseases Delirium Cardiovascular Diseases Heart Diseases Heart Failure Critical Illness
HPO:Abnormal left ventricular function Abnormality of the cardiovascular system Congestive heart failure Right ventricular failure

Primary Outcomes

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.

Secondary Outcomes

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.

Measure: Doses of specified drugs during ICU admission

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 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.

Measure: Mortality

Time: 6 months

Other Outcomes

Description: Semi structured interviews

Measure: Exploring the experiences of patients, relatives and staff of the visitation restrictions during the COVID-19 pandemic

Time: 18 months
7 Diagnosis of Heart Failure in the Post-COVID-19 Clinic, Primary Care and Hospital Setting Using a Digital Stethoscope With Artificial Intelligence (AI) Electrocardiogram (ECG)

Abbreviations/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.

NCT04601415
Conditions
  1. Heart Failure
Interventions
  1. Diagnostic Test: ECG from handheld device
MeSH:Heart Failure
HPO:Abnormal left ventricular function Congestive heart failure Right ventricular failure

Primary Outcomes

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 months
8 Cardiac Performance in Mechanically Ventilated Patients With Severe Pneumonia by SARS-CoV-2: Echo-COVID Study

Although 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.

NCT04628195
Conditions
  1. Covid19
  2. Acute Cor Pulmonale
  3. Cardiac Failure
MeSH:Heart Failure Pulmonary Heart Disease
HPO:Abnormal left ventricular function Congestive heart failure Cor pulmonale Right ventricular failure

Primary Outcomes

Description: Hypokinetic left ventricle function (left ventricle ejection fraction <45%)

Measure: Percentage of patients with left ventricle dysfunction (hypokinetic)

Time: 3 month

Description: 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 month

Secondary Outcomes

Description: 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.
9 Evaluating the Comparative Effectiveness of Telemedicine in Primary Care: Learning From the COVID-19 Pandemic

Leveraging a natural experiment approach, the investigators will examine rapidly changing telemedicine and in-person models of care during and after the COVID-19 crisis to determine whether certain patients could safely choose to continue telemedicine or telemedicine-supplemented care, rather than return to in-person care.

NCT04684836
Conditions
  1. Asthma
  2. Chronic Obstructive Pulmonary Disease (COPD
  3. Congestive Heart Failure
  4. Diabetes
  5. Hypertension
Interventions
  1. Other: Exposure to telemedicine, after the onset of the pandemic
MeSH:Lung Diseases, Obstructive Pulmonary Disease, Chronic Obstructive Heart Failure
HPO:Abnormal left ventricular function Chronic pulmonary obstruction Congestive heart failure Pulmonary obstruction Right ventricular failure

Primary Outcomes

Description: Avoidable emergency department (ED) admissions will be obtained from claims data

Measure: Number of avoidable emergency department (ED) admissions

Time: 30 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Avoidable emergency department (ED) admissions will be obtained from claims data

Measure: Number of avoidable emergency department (ED) admissions

Time: 60 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Avoidable emergency department (ED) admissions will be obtained from claims data

Measure: Number of avoidable emergency department (ED) admissions

Time: 6 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Avoidable emergency department (ED) admissions will be obtained from claims data

Measure: Number of avoidable emergency department (ED) admissions

Time: 12 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Unplanned hospital admissions from the ED will be obtained from claims data

Measure: Number of unplanned hospital admissions from the ED

Time: 30 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Unplanned hospital admissions from the ED will be obtained from claims data

Measure: Number of unplanned hospital admissions from the ED

Time: 60 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Unplanned hospital admissions from the ED will be obtained from claims data

Measure: Number of unplanned hospital admissions from the ED

Time: 6 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Unplanned hospital admissions from the ED will be obtained from claims data

Measure: Number of unplanned hospital admissions from the ED

Time: 12 months the comparator arms of clinic-level telemedicine used

Description: Continuity of care will be measured using the Bice-Boxerman Continuity of Care Index. The Bice-Boxerman continuity of care (COC) index reflects the relative share of all of a patient's visits during the year that are billed by distinct providers and/or practices. The index ranges from 0 to 1, where 0 indicates that each visit involved a different provider than all other visits, and 1 that all visits were billed by a single provider, representing continuity of care.

Measure: Continuity of care as assessed by the Bice-Boxerman Continuity of Care Index

Time: 30 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care will be measured using the Bice-Boxerman Continuity of Care Index. The Bice-Boxerman continuity of care (COC) index reflects the relative share of all of a patient's visits during the year that are billed by distinct providers and/or practices. The index ranges from 0 to 1, where 0 indicates that each visit involved a different provider than all other visits, and 1 that all visits were billed by a single provider, representing continuity of care.

Measure: Continuity of care as assessed by the Bice-Boxerman Continuity of Care Index

Time: 60 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care will be measured using the Bice-Boxerman Continuity of Care Index. The Bice-Boxerman continuity of care (COC) index reflects the relative share of all of a patient's visits during the year that are billed by distinct providers and/or practices. The index ranges from 0 to 1, where 0 indicates that each visit involved a different provider than all other visits, and 1 that all visits were billed by a single provider, representing continuity of care.

Measure: Continuity of care as assessed by the Bice-Boxerman Continuity of Care Index

Time: 6 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care will be measured using the Bice-Boxerman Continuity of Care Index. The Bice-Boxerman continuity of care (COC) index reflects the relative share of all of a patient's visits during the year that are billed by distinct providers and/or practices. The index ranges from 0 to 1, where 0 indicates that each visit involved a different provider than all other visits, and 1 that all visits were billed by a single provider, representing continuity of care.

Measure: Continuity of care as assessed by the Bice-Boxerman Continuity of Care Index

Time: 12 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care as assessed by the Breslau Usual Provider of Care measure. The Breslau Usual Provider of Care index is also an indicator of continuity of care, ranging from 0 to 1, where 1 represents continuity of care.

Measure: Continuity of care as assessed by the Breslau Usual Provider of Care measure

Time: 30 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care as assessed by the Breslau Usual Provider of Care measure. The Breslau Usual Provider of Care index is also an indicator of continuity of care, ranging from 0 to 1, where 1 represents continuity of care.

Measure: Continuity of care as assessed by the Breslau Usual Provider of Care measure

Time: 60 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care as assessed by the Breslau Usual Provider of Care measure. The Breslau Usual Provider of Care index is also an indicator of continuity of care, ranging from 0 to 1, where 1 represents continuity of care.

Measure: Continuity of care as assessed by the Breslau Usual Provider of Care measure

Time: 6 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care as assessed by the Breslau Usual Provider of Care measure. The Breslau Usual Provider of Care index is also an indicator of continuity of care, ranging from 0 to 1, where 1 represents continuity of care.

Measure: Continuity of care as assessed by the Breslau Usual Provider of Care measure

Time: 12 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care as assessed by attendance at follow-up appointment.

Measure: Continuity of care as assessed by attendance at follow-up appointment

Time: 30 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care as assessed by attendance at follow-up appointment.

Measure: Continuity of care as assessed by attendance at follow-up appointment

Time: 60 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care as assessed by attendance at follow-up appointment.

Measure: Continuity of care as assessed by attendance at follow-up appointment

Time: 6 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Continuity of care as assessed by attendance at follow-up appointment.

Measure: Continuity of care as assessed by attendance at follow-up appointment

Time: 12 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Secondary Outcomes

Description: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0059): Diabetes: Hemoglobin A1c (HbA1c) Poor Control (>9%), which is the percentage of patients 18 - 75 years of age with diabetes who had hemoglobin A1c > 9.0% during the measurement period

Measure: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0059): Diabetes: Hemoglobin A1c (HbA1c) Poor Control (>9%)

Time: 30 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0059): Diabetes: Hemoglobin A1c (HbA1c) Poor Control (>9%), which is the percentage of patients 18 - 75 years of age with diabetes who had hemoglobin A1c > 9.0% during the measurement period

Measure: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0059): Diabetes: Hemoglobin A1c (HbA1c) Poor Control (>9%)

Time: 60 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0059): Diabetes: Hemoglobin A1c (HbA1c) Poor Control (>9%), which is the percentage of patients 18 - 75 years of age with diabetes who had hemoglobin A1c > 9.0% during the measurement period

Measure: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0059): Diabetes: Hemoglobin A1c (HbA1c) Poor Control (>9%)

Time: 6 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0059): Diabetes: Hemoglobin A1c (HbA1c) Poor Control (>9%), which is the percentage of patients 18 - 75 years of age with diabetes who had hemoglobin A1c > 9.0% during the measurement period

Measure: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0059): Diabetes: Hemoglobin A1c (HbA1c) Poor Control (>9%)

Time: 12 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0018): Controlling High Blood Pressure, which is the percentage of patients 18 - 85 with hypertension diagnosis and adequate control (< 140/90 mmHg)

Measure: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0018): Controlling High Blood Pressure

Time: 30 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0018): Controlling High Blood Pressure, which is the percentage of patients 18 - 85 with hypertension diagnosis and adequate control (< 140/90 mmHg)

Measure: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0018): Controlling High Blood Pressure

Time: 60 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0018): Controlling High Blood Pressure, which is the percentage of patients 18 - 85 with hypertension diagnosis and adequate control (< 140/90 mmHg)

Measure: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0018): Controlling High Blood Pressure

Time: 6 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0018): Controlling High Blood Pressure, which is the percentage of patients 18 - 85 with hypertension diagnosis and adequate control (< 140/90 mmHg)

Measure: Evidence of controlled disease as indicated by as indicated by the National Quality Forum (NQF 0018): Controlling High Blood Pressure

Time: 12 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Days per month not in hospital or institutional setting

Measure: Days at home

Time: 30 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Days per month not in hospital or institutional setting

Measure: Days at home

Time: 60 days after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Days per month not in hospital or institutional setting

Measure: Days at home

Time: 6 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Days per month not in hospital or institutional setting

Measure: Days at home

Time: 12 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: Patient experiences based on the Patient Satisfaction Questionnaire (PSQ-18), which is a 5-scale questionnaire including questions on patient satisfaction, communication quality with providers and accessibility/convenience of care.

Measure: Patient experiences based on the Patient Satisfaction Questionnaire (PSQ-18)

Time: 12 months after the exposure to one of the comparator arms of clinic-level telemedicine used

Description: For individuals who accessed a telemedicine visit, we will ask questions based on the validated Telehealth Usability Questionnaire (TUQ), including the ease of use and access to the telemedicine service, quality of the interaction with the provider, and satisfaction

Measure: Ease of use and access to telemedicine based on Telehealth Usability Questionnaire (TUQ)

Time: 12 months after the exposure to one of the comparator arms of clinic-level telemedicine used

HPO Nodes


HP:0001635: Congestive heart failure
Genes 264
TLL1 DSP PLN SLC25A26 BSCL2 DSP NDUFB11 ACTC1 RET TRNL1 JUP CAV1 TRNK SGCD ACTC1 KCNJ5 GTF2IRD1 TRNC FXN WRN HBA2 TTN CAVIN1 VHL ATP6V1A PPA2 FGFR3 MYH7 TRNS2 EYA4 PLOD1 LMNA BMP2 KIF1B SLC2A10 NDUFB8 GNA11 CACNA1S ND1 HADHA TCF4 GAA TRNK VCL GATA6 TBL2 MYL3 PLOD1 ABCC6 GNPTAB SDHD STRADA PNPLA2 ENG LMNA CLIP2 RFC2 TAZ TPI1 COL1A2 BAG3 LIMK1 DSP GTPBP3 DES IRF5 NDUFAF1 ELN SELENON PSMB8 HJV MYD88 MYH6 AGGF1 EYA4 ATP5F1A TET2 ND6 HFE DMD MST1 MAPRE2 DLST DNMT3A TNNI3K TUBB TNNT2 EFEMP2 TRIP4 DNAJC19 XYLT1 TRNQ SDHB GDNF ADCY5 EPAS1 GDF2 PRKAG2 PSEN2 CCR6 AFF4 COL1A1 CDH23 CITED2 ENPP1 RAB3GAP2 BCHE FLNC GLA SF3B1 TRNW HADHA DES IFIH1 MECP2 TMEM70 GATAD1 ACAD9 HBB ACVRL1 HADHB MTTP RASA1 TMEM127 FGF23 NF1 PRDM16 SDHAF2 PRKAR1A FGD1 LMNA NDUFAF3 TNNI3 RBM20 VHL IKBKG VPS33A XYLT2 MYH6 SDHD TRPM4 GLB1 ALMS1 SDHD COX1 TPM1 AGPAT2 SCN5A CLIC2 SCO2 LMNA CAV1 SDHA LMNA HAMP RYR1 CASR MYH7 TRIM37 KIF1B LMNA PTEN SURF1 ACTN2 MYH7 RET LMNA ATXN7 LMNA SLC19A2 GTF2I RPS19 MYH7 TRNF STAT1 GTPBP3 PPARG TRNV TMEM127 LDB3 MAX TBX20 TRNS1 COX2 MDH2 SCO1 MYLK2 GJA1 HFE NDUFS2 GK TTN ELAC2 HNRNPA2B1 IDS TBX20 TRNE MAX NSMCE2 ACAD9 TRNK CYTB GATA4 ND5 GLA ADCY5 HBA1 HADHB SNAP29 MYH7 NKX2-5 SLC22A5 SDHC HBB CITED2 HLA-DRB1 HNRNPA1 ABCC6 SDHB SLC25A3 ALMS1 CP VCP SCN4A HBB FH FBN1 DTNA FOS PRKAR1A TF SDHB COG7 VHL TLL1 PPARG FLNA ENG PSEN1 CCN2 MYPN GPR35 BAZ1B JUP EPG5 SLC25A11 RET CLIC2 COX3 FBLN5 SLC17A5 CAV3 NKX2-5 CEP19 TMEM43 PEX7 SMAD4 PHYH CYTB SCN1B MYSM1 ADAMTSL2 PRKAR1A TRNL1

HPO

Alphabetical listing of all HPO terms. Navigate: Correlations   Clinical Trials


HPO Nodes


HP:0001635: Congestive heart failure
Genes 264
TLL1 DSP PLN SLC25A26 BSCL2 DSP NDUFB11 ACTC1 RET TRNL1 JUP CAV1 TRNK SGCD ACTC1 KCNJ5 GTF2IRD1 TRNC FXN WRN HBA2 TTN CAVIN1 VHL ATP6V1A PPA2 FGFR3 MYH7 TRNS2 EYA4 PLOD1 LMNA BMP2 KIF1B SLC2A10 NDUFB8 GNA11 CACNA1S ND1 HADHA TCF4 GAA TRNK VCL GATA6 TBL2 MYL3 PLOD1 ABCC6 GNPTAB SDHD STRADA PNPLA2 ENG LMNA CLIP2 RFC2 TAZ TPI1 COL1A2 BAG3 LIMK1 DSP GTPBP3 DES IRF5 NDUFAF1 ELN SELENON PSMB8 HJV MYD88 MYH6 AGGF1 EYA4 ATP5F1A TET2 ND6 HFE DMD MST1 MAPRE2 DLST DNMT3A TNNI3K TUBB TNNT2 EFEMP2 TRIP4 DNAJC19 XYLT1 TRNQ SDHB GDNF ADCY5 EPAS1 GDF2 PRKAG2 PSEN2 CCR6 AFF4 COL1A1 CDH23 CITED2 ENPP1 RAB3GAP2 BCHE FLNC GLA SF3B1 TRNW HADHA DES IFIH1 MECP2 TMEM70 GATAD1 ACAD9 HBB ACVRL1 HADHB MTTP RASA1 TMEM127 FGF23 NF1 PRDM16 SDHAF2 PRKAR1A FGD1 LMNA NDUFAF3 TNNI3 RBM20 VHL IKBKG VPS33A XYLT2 MYH6 SDHD TRPM4 GLB1 ALMS1 SDHD COX1 TPM1 AGPAT2 SCN5A CLIC2 SCO2 LMNA CAV1 SDHA LMNA HAMP RYR1 CASR MYH7 TRIM37 KIF1B LMNA PTEN SURF1 ACTN2 MYH7 RET LMNA ATXN7 LMNA SLC19A2 GTF2I RPS19 MYH7 TRNF STAT1 GTPBP3 PPARG TRNV TMEM127 LDB3 MAX TBX20 TRNS1 COX2 MDH2 SCO1 MYLK2 GJA1 HFE NDUFS2 GK TTN ELAC2 HNRNPA2B1 IDS TBX20 TRNE MAX NSMCE2 ACAD9 TRNK CYTB GATA4 ND5 GLA ADCY5 HBA1 HADHB SNAP29 MYH7 NKX2-5 SLC22A5 SDHC HBB CITED2 HLA-DRB1 HNRNPA1 ABCC6 SDHB SLC25A3 ALMS1 CP VCP SCN4A HBB FH FBN1 DTNA FOS PRKAR1A TF SDHB COG7 VHL TLL1 PPARG FLNA ENG PSEN1 CCN2 MYPN GPR35 BAZ1B JUP EPG5 SLC25A11 RET CLIC2 COX3 FBLN5 SLC17A5 CAV3 NKX2-5 CEP19 TMEM43 PEX7 SMAD4 PHYH CYTB SCN1B MYSM1 ADAMTSL2 PRKAR1A TRNL1

Reports

Data processed on January 01, 2021.

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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Interventions

4,818 reports on interventions/drugs

MeSH

706 reports on MeSH terms

HPO

306 reports on HPO terms

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Alphabetical index of all Terms

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