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D002908: Chronic Disease

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

Correlations computed by analyzing all clinical trials.

Navigate: Clinical Trials and HPO

Correlated Drug Terms (14)

Name (Synonyms) Correlation
drug2635 Preventive information Wiki 0.45
drug1238 Exercise training group Wiki 0.45
drug3911 life questionnaires Wiki 0.45
Name (Synonyms) Correlation
drug3027 Secukinumab 150 MG/ML Subcutaneous Solution [COSENTYX] Wiki 0.45
drug3337 Telehealth coaching sessions Wiki 0.45
drug2893 Ruxolitinib 5 MG Wiki 0.45
drug803 Cognitive and behavioral intervention. Wiki 0.45
drug799 Co-mestring (co-coping) Wiki 0.45
drug1838 Local standard of care Wiki 0.45
drug730 Certified cloth face mask plus preventive information Wiki 0.45
drug2647 Problem-solving and relationship improvement intervention. Wiki 0.45
drug4092 standard therapy Wiki 0.26
drug808 Colchicine Wiki 0.24
drug4037 questionnaire Wiki 0.15

Correlated MeSH Terms (13)

Name (Synonyms) Correlation
D000071069 Multiple Chronic Conditions NIH 0.45
D000073296 Noncommunicable Diseases NIH 0.32
D008269 Macular Edema NIH 0.32
Name (Synonyms) Correlation
D051436 Renal Insufficiency, Chronic NIH 0.26
D011111 Polymyalgia Rheumatica NIH 0.26
D013700 Giant Cell Arteritis NIH 0.26
D007154 Immune System Diseases NIH 0.20
D007674 Kidney Diseases NIH 0.20
D009103 Multiple Sclerosis NIH 0.16
D000066553 Problem Behavior NIH 0.15
D001523 Mental Disorders NIH 0.10
D007249 Inflammation NIH 0.08
D002318 Cardiovascular Diseases NIH 0.07

Correlated HPO Terms (5)

Name (Synonyms) Correlation
HP:0011505 Cystoid macular edema HPO 0.32
HP:0012622 Chronic kidney disease HPO 0.32
HP:0000077 Abnormality of the kidney HPO 0.22
Name (Synonyms) Correlation
HP:0000708 Behavioral abnormality HPO 0.15
HP:0001626 Abnormality of the cardiovascular system HPO 0.07

Clinical Trials

Navigate: Correlations   HPO

There are 5 clinical trials

1 How Are You Coping? Assessing the Psychological, Social, and Economic Impacts of an Emerging Pandemic

A dynamic analytical tool is being implemented to monitor the health, psychosocial and economic impacts of the COVID-19 pandemic as the crisis unfolds. A longitudinal survey is distributed via a network of hospitals, provincial/national organizations and web platforms. The survey information can be linked to provincial health administrative data and metrics derived from social media activity based on artificial intelligence methods. Targeted questions are included for critical populations such as healthcare workers and people with chronic illnesses.

  1. COVID-19
  2. Chronic Disease
  3. Psychiatric Disorder
  4. Cardiovascular Diseases
MeSH:Cardiovascular Diseases Chronic Disease Mental Disorders Problem Behavior
HPO:Abnormality of the cardiovascular system Behavioral abnormality

Primary Outcomes

Description: Cohen's Perceived Stress Scale (scores ranged from 0 to 40, higher scores indicating worse stress)

Measure: Mental health - Stress

Time: through study completion, estimated to 8 months

Description: Generalized Anxiety Disorder Scale (scores ranged from 0 to 21, higher scores indicating worse anxiety)

Measure: Mental health - Anxiety

Time: through study completion, estimated to 8 months

Description: Quick Inventory of Depressive Symptomatology-Self-report, short version (scores ranged from 0 to 27, higher scores indicating worse depression)

Measure: Mental health - Depression

Time: through study completion, estimated to 8 months

Secondary Outcomes

Description: Measure of Moral Distress - Healthcare Professionals (scores ranged from 0 to 432, higher scores indicating worse moral distress)

Measure: Moral distress in healthcare workers

Time: through study completion, estimated to 8 months

Description: Rushton Moral Resilience Scale (scores ranged from 1 to 4, higher scores indicating more resiliency)

Measure: Moral resilience in healthcare workers

Time: through study completion, estimated to 8 months

Description: Frequency of interacting with other people (daily, weekly, monthly, less often than monthly)

Measure: Social life

Time: through study completion, estimated to 8 months

Description: Fever, Cough, Difficulty breathing or shortness of breath, Tiredness, Aches and pains, Nasal congestion, Runny nose, Sore throat, Diarrhea (Mild Moderate, Severe, N/A)

Measure: COVID-9 symptoms

Time: through study completion, estimated to 8 months

Description: Mortality (Yes/No):

Measure: Adverse health long-term outcome

Time: 5 years before the outbreak and two years after

Description: Hospitalizations (total number):

Measure: Health care utilization - Inpatient

Time: 5 years before the outbreak and two years after

Description: Emergency Department visits (Total number):

Measure: Health care utilization - ER

Time: 5 years before the outbreak and two years after

Description: Outpatient visits:

Measure: Health care utilization - Outpatient

Time: 5 years before the outbreak and two years after

Description: Pittsburgh Sleep Quality Index (scores ranged from 0 to 21, higher scores indicating worse sleep disturbances)

Measure: Sleep

Time: through study completion, estimated to 8 months
2 COVID-19 Related Lockdown Effects On Chronic Diseases

The containment associated with the VIDOC-19 pandemic creates an unprecedented societal situation of physical and social isolation. Our hypothesis is that in patients with chronic diseases, confinement leads to changes in health behaviours, adherence to pharmacological treatment, lifestyle rules and increased psychosocial stress with an increased risk of deterioration in their health status in the short, medium and long term. Some messages about the additional risk/danger associated with taking certain drugs in the event of COVID disease have been widely disseminated in the media since March 17, 2020, the date on which containment began in France. This is the case, for example, for corticosteroids, non-steroidal anti-inflammatory drugs but also for converting enzyme inhibitors (ACE inhibitors) and angiotensin II receptor antagonists (ARBs2). These four major classes of drugs are widely prescribed in patients with chronic diseases, diseases specifically selected in our study (corticosteroids: haematological malignancies, multiple sclerosis, Horton's disease; ACE inhibitors/ARAs2: heart failure, chronic coronary artery disease). Aspirin used at low doses as an anti-platelet agent in coronary patients as a secondary prophylaxis after a myocardial infarction can be stopped by some patients who consider aspirin to be a non-steroidal anti-inflammatory drug. Discontinuation of this antiplatelet agent, which must be taken for life after an infarction, exposes the patient to a major risk of a new cardiovascular event. The current difficulty of access to care due to travel restrictions (a theoretical limit in the context of French confinement but a priori very real), the impossibility of consulting overloaded doctors, or the cancellation of medical appointments, medical and surgical procedures due to the reorganization of our hospital and private health system to better manage COVID-19 patients also increases the risk of worsening the health status of chronic patients who by definition require regular medical monitoring. Eight Burgundian cohorts of patients with chronic diseases (chronic coronary artery disease, heart failure, multiple sclerosis, Horton's disease, AMD, haemopathic malignancy, chronic respiratory failure (idiopathic fibrosis, PAH) haemophilia cohort) will study the health impact of the containment related to the COVID-19 pandemic.

  1. Chronic Coronary Syndrome
  2. Heart Failure
  3. AMD and Macular Edema
  4. Chronic Respiratory Failure
  5. Hemophilia
  6. Malignant Hemopathy
  7. Multiple Sclerosis
  8. Horton's Disease
  1. Other: life questionnaires
  2. Other: questionnaire
MeSH:Polymyalgia Rheumatica Respiratory Insufficiency Multiple Sclerosis Giant Cell Arteritis Macular Edema Chronic Disease
HPO:Cystoid macular edema Macular edema

Primary Outcomes

Description: increase in dose, decrease in dose, discontinuation or no change for each drug class)

Measure: % adherence to each pharmacological class

Time: during the period from 20 April 2020 to 7 May 2020

Description: (mortality, hospitalizations and relevant criteria for each pathology all related to the chronic disease)

Measure: number of occurrence of medical events at 1 year

Time: throughout the study for 12 months

Secondary Outcomes

Description: Smoking/Smoking/sweetening, Alcohol consumption/recovery, Decreased physical activity, Weight change

Measure: Expressed in %: Non-pharmacological treatment/lifestyle:

Time: during the period from 20 April 2020 to 7 May 2020

Measure: Expressed in %: Difficulties accessing care: medical appointments, prescriptions, medication

Time: during the period from 20 April 2020 to 7 May 2020

Measure: Measurement of psychological distress: Kessler's specific questionnaire (score between 0 and 24)

Time: during the period from 20 April 2020 to 7 May 2020
3 Nutritional Habits, Does it Affect Coronavirus Disease 2019 (COVID-19) Infection Outcome? An Egyptian Experience

As of May 30th more than 23,000 cases of COVID -19 cases were confirmed in Egypt with total deaths of 913. Post viral entry, intense immune response against the virus with infiltration of monocytes and macrophages into alveolar cells with decreasing number of lymphocytes in peripheral blood along with reduced lymphocytes in lymphoid organs, hypercoagulability, thrombosis and multiple organ damage, The gut microbiota and immune homeostasis seem to have a back and forth relationship. Also, gut microbiota derived signals are known to tune the immune cells for pro and anti-inflammatory responses thereby affecting the susceptibility to various diseases. Healthy gut microbiome essentially could be pivotal in maintaining an optimal immune system to prevent an array of excessive immune reactions that eventually become detrimental to lungs and vital organ systems. Numerous studies have shown that the patient's nutritional status have a significant effect on an individual's immunity and over all health status and it has been suggested that nutritional deficiencies may predispose to severe forms of COVID-19 infections. Co-existing non-communicable chronic diseases (NCDs) in COVID-19 patients have been found to delay patients recovery and worsen their prognosis, the reason may be due to aggravated inflammatory pathology found in NCDs exacerbating COVID-19 infection. The aim of the study is to evaluate the role dietary habits among COVID-19 Egyptian patients and whether type of diet (Mediterranean or Western) will affect disease outcomes

  1. Covid19
  2. Chronic Inflammation
  3. Non-Communicable Chronic Diseases
MeSH:Inflammation Chronic Disease Noncommunicable Diseases

Primary Outcomes

Description: To assess the relation between type of diet in mild to moderate COVID 19, to the fate of their course; either improvement or progression

Measure: Western versus Mediterranean diet in COVID-19 outcome

Time: 2 months

Description: To asses any possible links between gut microbiome and the lung affecting clinical presentation of mild to moderate COVID cases; as diarrhea, loss of taste or smell

Measure: Gut- Lung axis in COVID-19

Time: 2 months

Description: Possible protective effects of minerals and vitamins against COVID-19 respiratory illness

Measure: Protective role of minerals and vitamins in COVID-19 patients

Time: 2 months

Description: Trying to explain the link between non-communicable disease severity and COVID-19 prognosis

Measure: non-communicable diseases and COVID-19

Time: 2 months
4 Online, Home-based, Aerobic Training Program Among Adolescents With Chronic Diseases During COVID-19 Pandemic: A Randomized Controlled Trial

Data show that the coronavirus disease 2019 (COVID-19) symptoms can be severe in 4% and 3% of the adolescents aged 11-15 years and ≥ 16 years, respectively. In addition, the prevalence of chronic diseases among adolescents has increased in the last years. About 20% of the adolescents have some chronic disease, resulting in increased morbidity and mortality. In march, 2020, the quarantine was officially implemented in Sao Paulo, while elective medical appointments for adolescents with chronic disease were temporarily suspended. To mitigate the deleterious effect of the social isolation on physical and mental health among these patients, this study aims to test the effects of an online, home-based, exercise training program.

  1. Chronic Disease
  2. Chronic Diseases in Adolescence
  3. Chronic Disease of Immune System
  4. Chronic Kidney Diseases
  1. Other: Exercise training group
MeSH:Kidney Diseases Renal Insufficiency, Chronic Immune System Diseases Chronic Disease
HPO:Abnormality of the kidney Chronic kidney disease Nephropathy

Primary Outcomes

Description: Semi structured interview

Measure: Safety and efficacy of a home-based exercise training program

Time: From baseline to 3 months of follow-up

Secondary Outcomes

Description: Semi structured interview

Measure: Patients perceptions during social isolation

Time: From baseline to 3 months of follow-up

Description: Quality of life will be assessed by means of Pediatric Quality of Life inventory (PedsQLTM 4.0)

Measure: Adolescents quality of life

Time: From baseline to 3 months of follow-up

Description: Will be assessed by means of a visual analog scale (from 0 - no disease activity) to 10 - maximum disease activity).

Measure: Disease activity

Time: From baseline to 3 months of follow-up

Description: Will be assessed using the visual analog scale from 0 (very good condition) to 10 (very poor condition).

Measure: Disease overall assessment

Time: From baseline to 3 months of follow-up

Description: Will be assessed by means of Strengths & Difficulties Questionnaires

Measure: Strengths and difficulties

Time: From baseline to 3 months of follow-up
5 A Student-delivered Community Outreach teleheAlth Program for Covid Education and Health Promotion (COACH)

The purpose of this study is to ensure effective health management among community-living older adults during unprecedented times, such as the current COVID-19 pandemic.

  1. Chronic Disease
  2. Aging
  3. Aging Problems
  4. Health Behavior
  5. Multiple Chronic Conditions
  6. Chronic Illness
  7. Chronic Illnesses, Multiple
  8. Healthy Lifestyle
  9. Healthy Aging
  10. Aging Well
  11. Healthy Life Style
  12. Self-management
  13. Self Care
  1. Behavioral: Telehealth coaching sessions
MeSH:Chronic Disease Multiple Chronic Conditions

Primary Outcomes

Description: Health Education Impact Questionnaire (HeiQ) that evaluates health directed behaviour for chronic disease management.

Measure: Change from baseline: Health Directed Behaviour at 2 months

Time: Baseline, Post-intervention (immediately after the 2-month intervention)

Secondary Outcomes

Description: 21-item survey scale that looks at perceived depression, anxiety and stress.

Measure: Depression, Anxiety, Stress Scale

Time: Baseline, Post-intervention (immediately after the 2-month intervention)

Description: 19-item survey that evaluates perceived social support.

Measure: Medical Outcomes Study (MOS): Social Support Survey

Time: Baseline, Post-intervention (immediately after the 2-month session)

Description: Survey scale that evaluates at health-related quality of life.

Measure: Medical Outcomes Study (MOS): Short Form-36

Time: Baseline, Post-intervention (immediately after the 2-month session)

Description: 28-item survey scale that looks at health promotion self-efficacy.

Measure: Self-Rated Abilities for Health Practices Scale

Time: Baseline, Post-intervention (immediately after the 2-month session)

Description: Health Education Impact Questionnaire

Measure: Self-management

Time: Baseline, Post-intervention (immediately after the 2-month session)

HPO Nodes


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

HPO Nodes


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.

Drug Reports   MeSH Reports   HPO Reports  


4,818 reports on interventions/drugs


706 reports on MeSH terms


306 reports on HPO terms

All Terms

Alphabetical index of all Terms

Google Colab

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