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D007153: Immunologic Deficiency Syndromes

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 (12)


Name (Synonyms) Correlation
drug2264 Omega 3/Nigella Sativa Oil/Indian Costus Wiki 0.41
drug2433 Physical examination Wiki 0.41
drug660 CVnCoV Wiki 0.41
Name (Synonyms) Correlation
drug971 Data collection and rhinopharyngeal swab Wiki 0.41
drug2261 Omega 3/Nigella Sativa Oil Wiki 0.41
drug148 Active Comparator Wiki 0.41
drug2265 Omega 3/Nigella Sativa Oil/Quinine pills Wiki 0.41
drug2263 Omega 3/Nigella Sativa Oil/Deglycyrrhizinated Licorice Wiki 0.41
drug2262 Omega 3/Nigella Sativa Oil/Anise seed capsule Wiki 0.41
drug3632 Yoga Wiki 0.24
drug2685 Questionnaire Wiki 0.07
drug2448 Placebo Wiki 0.02

Correlated MeSH Terms (8)


Name (Synonyms) Correlation
D006984 Hypertrophy NIH 0.41
D014069 Tonsillitis NIH 0.41
D000077062 Burnout, Psychological NIH 0.09
Name (Synonyms) Correlation
D004194 Disease NIH 0.08
D003141 Communicable Diseases NIH 0.03
D007239 Infection NIH 0.02
D045169 Severe Acute Respiratory Syndrome NIH 0.02
D018352 Coronavirus Infections NIH 0.01

Correlated HPO Terms (2)


Name (Synonyms) Correlation
HP:0002721 Immunodeficiency HPO 1.00
HP:0011110 Tonsillitis HPO 0.41

Clinical Trials

Navigate: Correlations   HPO

There are 6 clinical trials


1 Coronavirus Outcomes Registries in Immunocompromised Individuals Australia (CORIA): a Multisite Registry and Optional Biorepository in People With COVID-19 and Selected Conditions Affecting Immune Function

CORIA is an observational cohort study of immunosuppressed populations who test positive for COVID-19. This includes people living with HIV, cancer, acquired immunodeficiency associated with other immunosuppressive therapy, primary immunodeficiency and recipients of a solid organ transplant. Participants will have routine clinical data collected with optional baseline collection and storage of a blood sample for storage . The study will be conducted in up to 30 sites within Australia.

NCT04354818
Conditions
  1. HIV-1-infection
  2. Cancer
  3. Primary Immune Deficiency Disorder
  4. Immunosuppression Disorders
  5. COVID-19
MeSH:Immunologic Deficiency Syndromes Disease
HPO:Immunodeficiency

Primary Outcomes

Measure: percentage of patients who required hospitalisation, developed severe illness (ICU admission) or died

Time: Day 28

Secondary Outcomes

Measure: percentage of patients who required hospitalisation, developed severe illness (ICU admission) or died

Time: 3 months
2 Coronavirus Infection in Primary or Secondary Immunosuppressed Children and Adults.

A weekly questionnaire is sent to patients and parents of patients who are vulnerable for infections. Possible symptoms of COVID19 are asked for and use of healthcare services and testing for COVID19. Weekly reports are being send to the national institutions to update advice given to this group.

NCT04382508
Conditions
  1. Immune Suppression
  2. Immune Deficiency
  3. Infection
  4. COVID
  5. Children, Adult
Interventions
  1. Other: Questionnaire
MeSH:Infection Communicable Diseases Coronavirus Infections Severe Acute Respiratory Syndrome Immunologic Deficiency Syndromes
HPO:Immunodeficiency

Primary Outcomes

Description: To describe frequency of cough, fever, diarrhoea, shortness of breath, sore throat, blocked nose, red eyes, headache, joint pain, muscle pain, fatigue, chills, nausea, vomiting, diarrhoea over a year

Measure: To describe COVID19 infection in children/adults who are vulnerable for infection in an outpatients setting

Time: 1 year

Secondary Outcomes

Description: Patient/parent reported positive tests for COVID19

Measure: Number of children/adults tested positive for COVID19

Time: 1 year

Description: Patient/parent reported admissions in hospital because of COVID19

Measure: Number of children/adults admitted in hospital because of COVID19

Time: 1 year

Description: Patient/parent reported effect of COVID19 on daily activities

Measure: To assess the impact of COVID19 infection on the daily activities of immunosuppressed adults and children

Time: 1 year
3 Multi-Center Prospective Cohort Study: Impact of Burnout on Cardiovascular and Immune Biomarkers Among Frontline Healthcare Professionals During Covid-19 Pandemic in Abu Dhabi Emirate

The main objective of our project is to investigate the evolution of psychosocial, cardiovascular and immune markers in healthcare with different levels of exposure to the COVID-19 pandemic.

NCT04422418
Conditions
  1. Cardiovascular Risk Factor
  2. Burnout
  3. Immune Deficiency
MeSH:Immunologic Deficiency Syndromes Burnout, Psychological
HPO:Immunodeficiency

Primary Outcomes

Description: Burnout - through self-reported stress and burnout thoughts, beliefs, emotions, behavior related to Covid-19 using Maslach Burnout Inventory. Maslach Burnout Inventory - is a 22-item survey that covers 3 areas: Emotional Exhaustion (EE), Depersonalization (DP), and low sense of Personal Accomplishment (PA). Each subscale includes multiple questions with frequency rating choices of Never, A few times a year or less, Once a month or less, A few times a month, Once a week, A few times a week, or Every day.

Measure: Change from Baseline Burnout at 2-3 months and 6 months

Time: baseline, 2-3 months, 6 months

Description: Data is collected through wearable monitoring technology. Cardiovascular risk through monitoring of heart rate variability (HRV) markers. Changes of heart rate variability (HRV) reflecting cardiac autonomic dysfunction are associated with greater risks for cardiac morbidity and mortality.

Measure: Change from Baseline Cardiovascular Risk Cardiovascular Risk Through Heart Rate Variability Markers at 2-3 months and 6 months

Time: baseline, 2-3 months, 6 months

Description: Data is collected through wearable monitoring technology. Actigraphy data is collected in 1 min epochs using the zero-crossing modes.

Measure: Change from Baseline Through Actigraphy at 2-3 months and 6 months

Time: baseline, 2-3 months, 6 months

Description: Data is collected through wearable monitoring technology. Sleep efficiency is defined as the proportion of the estimated sleep periods spent asleep. Sleep latency is the length of time taken to fall asleep, calculated as the time between 'lights off' to the first period of 3 min of consecutive epochs scored as sleep.

Measure: Change from Baseline Through Sleep Quality at 2-3 months and 6 months

Time: baseline, 2-3 months, 6 months

Description: Cardiovascular risk through Fuster-BEWAT score. The Fuster-BEWAT score will be analyzed as a continuous variable with total score ranging from 0 to 15 points. Additionally, each component will be categorized as ideal (3) or nonideal (0 to 2), and participants will be classified as having poor, intermediate, or ideal cardiovascular health based on the total number of ideal components (0 to 1 = poor, 2 to 3 = intermediate, 4 to 5 = ideal) (Fernández-Alvira et al., 2017).

Measure: Change from Baseline Cardiovascular Risk Through Fuster-BEWAT score at 2-3 months and 6 months

Time: baseline, 2-3 months, 6 months

Description: Classification of the immune function will be screened.

Measure: Change from Baseline Immune Dysfunction at 2-3 months and 6 months

Time: baseline, 2-3 months, 6 months

Secondary Outcomes

Description: Submaximal field test and maximal oxygen consumption (VO2, mL/kg/min).

Measure: Change from Baseline Cardio-Respiratory Fitness at 2-3 months and 6 months

Time: baseline, 2-3 months, 6 months
4 Worldwide COVID-19 in Children and Adult Patients With Primary ImmunoDeficiencies (PID) Survey

With the emergence of SARS-CoV-2 and the COVID-19 pandemic, there is an urgent need to understand the impact of infection on immunodeficient individuals. Whilst co-morbidities (such as diabetes, cancer, arterial hypertension, heart disease...) have been documented in people infected with SARS-CoV-2, there is currently no information on the consequences and outcomes for individuals with primary immunodeficiencies (PID). Following the 1st phase of the survey (launched by Isabelle Meyts (ESID), Nizar Mahlaoui (CEREDIH & IPOPI) and Kate Sullivan with Stuart Tangye (IUIS), that gave an idea of the number of affected PID patients and the impact of SARS-CoV-2 and directly focusing on obtaining this top level of information), we are launching the 2nd phase: "COPID19". COPID19 survey is a secured online GDPR compliant platform based in Paris (Imagine Institute). It has been approved by the Paris-Necker-Enfants malades IRB and Ethics Committee. However, this retrospective survey is designed for global distribution. Data can be entered by a health care professional (mostly clinicians) through a personal login and password. Each documenting person will have access to his/her own patients' data. COPID19 require a greater level of information than the 1st phase. The eCRF will be open to evolutions depending on progresses in our knowledge of this pandemic.

NCT04459689
Conditions
  1. Primary Immune Deficiency
  2. COVID
MeSH:Immunologic Deficiency Syndromes
HPO:Immunodeficiency

Primary Outcomes

Measure: Survival of patients with PID affected by COVID-19

Time: Baseline

Measure: Rate of admission to ICU of patients with PID affected by COVID-19

Time: Baseline

Measure: Rate of oxygen therapy of patients with PID affected by COVID-19

Time: Baseline

Secondary Outcomes

Measure: Sequelae of patients with PID affected by COVID-19

Time: Baseline
5 Impact of Different Treatment Modalities on Immunity Against COVID-19

The first version of this preprint article is registered on the 4th of May 2020 under the digital object identifier of:10.31219/osf.io/u56fc. COVID-19 infections virus spread worldwide and impact many countries with sever economical sequences. The effective antiviral medication or vaccination for the virus is unavailable until the present date and it takes months or years to discover the effective treatment or test the efficacy of the discovered treatment. Based on these facts, the human immune system against the virus may have an effective role to regulate the infection and reduce the mortality rate among the infected patients. This proposed research article aims to explore the available medication/ natural supplementation to boost the immunity system of the patients against COVID-19 infections and reduce the mortality rate among infected patients. Methods: a proposed clinical trial will be carried out to investigate the effect of the different treatment modalities on the human immune system against COVID-19 infection.

NCT04553705
Conditions
  1. Covid19
  2. Immunodeficiency
Interventions
  1. Drug: Omega 3/Nigella Sativa Oil
  2. Drug: Omega 3/Nigella Sativa Oil/Indian Costus
  3. Drug: Omega 3/Nigella Sativa Oil/Quinine pills
  4. Drug: Omega 3/Nigella Sativa Oil/Anise seed capsule
  5. Drug: Omega 3/Nigella Sativa Oil/Deglycyrrhizinated Licorice
  6. Drug: Active Comparator
MeSH:Immunologic Deficiency Syndromes
HPO:Immunodeficiency

Primary Outcomes

Description: Time to Clinical recovery

Measure: Clinical improvement

Time: 30 Days

Description: Percentage of patients returned to negative swaps of COVID-19

Measure: Recovery rate from positive to negative swaps

Time: 14 Days

Description: Number of days for fever remission T=37.5°C

Measure: Fever to normal temperature in days

Time: 15 Days

Description: Number of days to report lungs recovery in chest X ray or CT

Measure: Remission of lung inflammation in CT or X-ray

Time: 30 Days

Description: Number of days for hospitalization

Measure: Length of hospitalization

Time: 10 Days

Description: Change of (PCR levels) > 50% in comparison with PCR levels at the admission

Measure: (PCR levels) polymerase chain reaction assay levels

Time: 10 Days

Description: P O2/Fi O2 which reflects patients' oxygen saturation

Measure: Respiratory indexes

Time: 10 Days

Description: C-reactive protein milligrams per deciliter correlated with inflammation

Measure: C-reactive protein mg/L

Time: 25 Days

Description: Serum Ferritin Nanograms per milliliter correlated with iron overload and illness severity

Measure: Serum Ferritin ng/ml

Time: 25 Days

Description: Lactic acid dehydrogenase unit per litter correlated with illness severity

Measure: Lactic acid dehydrogenase U/L

Time: 25 Days

Description: leukocytes in microliter correlated with mortality

Measure: leukocytes count μl

Time: 30 Days

Description: Mg/dl correlated with lipid peroxidation that linked to oxidative stress

Measure: Lipid profile [LDL, HDL, Total cholesterol ]

Time: 14 Days

Description: Evaluate the antioxidant response against the free radicals produced in COVID-19 infection measured by ELISA

Measure: total plasma antioxidant capacity

Time: 14 Days
6 The Relationship Between Mild Covid-19 Infection in Pediatric Patients and Protection of Secondary Lymphoid Organs

We aimed to find out whether the tonsils and nasal tissues of pediatric patients are the main factors that protects the children's immune system against COVID-19 infection.

NCT04646525
Conditions
  1. Covid19
  2. Immune Deficiency
  3. Tonsillitis
  4. Tonsil Hypertrophy
  5. Adenoiditis
  6. Adenoid Hypertrophy
Interventions
  1. Diagnostic Test: Physical examination
MeSH:Tonsillitis Immunologic Deficiency Syndromes Hypertrophy
HPO:Immunodeficiency Tonsillitis

Primary Outcomes

Description: The structure of the tonsil and adenoid tissues will be examined by physical examination, and the presence of tonsil and adenoid hypertrophy, tonsillitis, and adenoiditis conditions will be identified. The severity of covid-19 will be determined according to the cases of patients with tonsil and adenoid tissue disorders, who are hospitalized in intensive care, have infiltration in the lungs, and receive oxygen support.

Measure: The primary outcome of our study was the evaluation of pediatric patients diagnosed with COVID-19 and who had COVID-19 infection in terms of adenoid and tonsillar tissue hypertrophy and the presence of chronic or recurrent infection.

Time: 2020-2021

HPO Nodes


HP:0002721: Immunodeficiency
Genes 269
CHD7 ACP5 JAK3 TNFRSF4 NFE2L2 NFKB2 SRP54 MS4A1 LCK STAT1 EPG5 PRPS1 CUL4B CD19 MEIS2 CCDC47 GATA1 CD3E CTPS1 POLE ARVCF CDH23 ATM IRAK4 PRKDC RREB1 RAG2 RAG2 SLC46A1 PGM3 FOXN1 IL2RG LMNB2 CTBP1 JMJD1C PIK3CD CREBBP HYOU1 FCGR3A TBX1 PNP SPATA5 UNG TNFSF12 TERT PTEN MALT1 TBX1 CD81 UNC119 WIPF1 TNFRSF1B PARN NSD2 TTC7A HIRA SPATA5 GP1BB GATA2 ZBTB24 IRF7 CD19 CD81 UNC93B1 EP300 TNFRSF13B SEC24C IL2RB TRAF3 CRKL DCLRE1C CDC42 IL7R DCTN4 CLCA4 ATRX SIK3 IGLL1 SEC23B CHD1 AK2 XRCC4 TCF3 IGHM CD79A PIK3R1 NOP10 MS4A1 CD79B BCL11B BUB1B AGL IVNS1ABP TTC37 PTPRC FOXN1 TNFRSF13C KNSTRN TYK2 TINF2 BCL10 RAG1 RNF168 RTEL1 CYBA IL7R USB1 CD3G PKP1 RAC2 USF3 CR2 CARD11 LAMTOR2 CYBB POLE ICOS DNAJC21 SH2D1A DNMT3B IL21 ADA CPLX1 IL2RA PIK3CA PGM3 LYST CD3D CDCA7 PIK3R1 ICOS FRAS1 LIG4 CARD9 SDHC DCLRE1C DNMT3B NCF1 RAG1 ORAI1 ACD SKIV2L IL2RG ZBTB24 TINF2 MAGT1 CD40 IKBKG TNFRSF13B WAS CR2 TFRC NFKB1 FGFRL1 USP8 CD247 RMRP WRAP53 UFD1 IKBKG AP3D1 DKC1 IL12RB1 IL12B RTEL1 SHANK3 ISG15 STAT1 MBTPS2 IRF8 RMRP TNFRSF13C NFKB1 SMARCAL1 IRF8 TERT MYC RAG1 BTK RNF168 SP110 NFKB2 PIK3CD IKBKB RBCK1 LAT ADA HELLS XRCC4 DOCK2 CDC42 TICAM1 MTHFD1 SKIV2L RAG2 STAT1 ANTXR2 IRAK4 CD40LG IFNGR1 AICDA DKC1 SDHB IKZF1 RAB27A CD28 CREBBP MYD88 TLR3 CTC1 ADA2 NCF2 STIM1 LYST IRF2BP2 AKT1 CTLA4 LETM1 STX1A TNFRSF13C TBK1 CORO1A CFTR SBDS WHCR ICOS EFL1 TERC XIAP TTC7A RAG1 UROS LIG4 PARN AK2 BCR DKC1 SDHD LRRC8A KLLN HBB LRBA TGFB1 MAN2B1 NHP2 NHEJ1 NPM1 EXTL3 EPG5 MAN2B1 COMT PRKCD BLNK CR2 TBCE IL2RG CTLA4 RTEL1 MMUT LAMTOR2 TNFSF12 IFNGR2 MAPK1 IL21R ACTB CHD1 CD19 STK4 XIAP
SNP 0

HPO

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


HPO Nodes


HP:0002721: Immunodeficiency
Genes 269
CHD7 ACP5 JAK3 TNFRSF4 NFE2L2 NFKB2 SRP54 MS4A1 LCK STAT1 EPG5 PRPS1 CUL4B CD19 MEIS2 CCDC47 GATA1 CD3E CTPS1 POLE ARVCF CDH23 ATM IRAK4 PRKDC RREB1 RAG2 RAG2 SLC46A1 PGM3 FOXN1 IL2RG LMNB2 CTBP1 JMJD1C PIK3CD CREBBP HYOU1 FCGR3A TBX1 PNP SPATA5 UNG TNFSF12 TERT PTEN MALT1 TBX1 CD81 UNC119 WIPF1 TNFRSF1B PARN NSD2 TTC7A HIRA SPATA5 GP1BB GATA2 ZBTB24 IRF7 CD19 CD81 UNC93B1 EP300 TNFRSF13B SEC24C IL2RB TRAF3 CRKL DCLRE1C CDC42 IL7R DCTN4 CLCA4 ATRX SIK3 IGLL1 SEC23B CHD1 AK2 XRCC4 TCF3 IGHM CD79A PIK3R1 NOP10 MS4A1 CD79B BCL11B BUB1B AGL IVNS1ABP TTC37 PTPRC FOXN1 TNFRSF13C KNSTRN TYK2 TINF2 BCL10 RAG1 RNF168 RTEL1 CYBA IL7R USB1 CD3G PKP1 RAC2 USF3 CR2 CARD11 LAMTOR2 CYBB POLE ICOS DNAJC21 SH2D1A DNMT3B IL21 ADA CPLX1 IL2RA PIK3CA PGM3 LYST CD3D CDCA7 PIK3R1 ICOS FRAS1 LIG4 CARD9 SDHC DCLRE1C DNMT3B NCF1 RAG1 ORAI1 ACD SKIV2L IL2RG ZBTB24 TINF2 MAGT1 CD40 IKBKG TNFRSF13B WAS CR2 TFRC NFKB1 FGFRL1 USP8 CD247 RMRP WRAP53 UFD1 IKBKG AP3D1 DKC1 IL12RB1 IL12B RTEL1 SHANK3 ISG15 STAT1 MBTPS2 IRF8 RMRP TNFRSF13C NFKB1 SMARCAL1 IRF8 TERT MYC RAG1 BTK RNF168 SP110 NFKB2 PIK3CD IKBKB RBCK1 LAT ADA HELLS XRCC4 DOCK2 CDC42 TICAM1 MTHFD1 SKIV2L RAG2 STAT1 ANTXR2 IRAK4 CD40LG IFNGR1 AICDA DKC1 SDHB IKZF1 RAB27A CD28 CREBBP MYD88 TLR3 CTC1 ADA2 NCF2 STIM1 LYST IRF2BP2 AKT1 CTLA4 LETM1 STX1A TNFRSF13C TBK1 CORO1A CFTR SBDS WHCR ICOS EFL1 TERC XIAP TTC7A RAG1 UROS LIG4 PARN AK2 BCR DKC1 SDHD LRRC8A KLLN HBB LRBA TGFB1 MAN2B1 NHP2 NHEJ1 NPM1 EXTL3 EPG5 MAN2B1 COMT PRKCD BLNK CR2 TBCE IL2RG CTLA4 RTEL1 MMUT LAMTOR2 TNFSF12 IFNGR2 MAPK1 IL21R ACTB CHD1 CD19 STK4 XIAP
SNP 0

Reports

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  

Interventions

4,818 reports on interventions/drugs

MeSH

706 reports on MeSH terms

HPO

306 reports on HPO terms

All Terms

Alphabetical index of all Terms

Google Colab

Python example via Google Colab Notebook