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Chronic Kidney Diseases ×
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Inhoudsopgave
  1. 1. Ensayo clínico
  2. 2. Documentación de rutina
  3. 3. Estudio de registro / cohorte
  4. 4. Seguro de calidad
  5. 5. Estándar de datos
  6. 6. Resultado reportado por el paciente
  7. 7. Especialidad médica
    1. 7.1. Anestesiología
    1. 7.2. Dermatología
    1. 7.3. ENT
    1. 7.4. Geriatría
    1. 7.5. Ginecología / Obstetricia
    1. 7.6. Medicina Interna
      1. Hematología
      1. Enfermedades infecciosas
      1. Cardiología / Angiología
      1. Neumología
      1. Gastroenterología
      1. Nefrología
      1. Endocrinología / Enfermedades metabólicas
      1. Reumatología
    1. 7.7. Neurología
    1. 7.8. Oftalmología
    1. 7.9. Cuidados paliativos
    1. 7.10. Patología / Forense
    1. 7.11. Pediatría
    1. 7.12. Psiquiatría / Psicosomática
    1. 7.13. Radiología
    1. 7.14. Cirugía
      1. Cirugía General / Visceral
      1. Neurocirugía
      1. Cirugía plástica
      1. Cirugía Torácica
      1. Traumatología / Ortopedia
      1. Cirugía vascular
    1. 7.15. Urología
    1. 7.16. Odontología / OMS
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dbGaP phs001345 NHLBI TOPMed: Genetic Epidemiology Network of Arteriopathy (GENOA) - Eligibility

- 5/3/23 - 4 Formulieren, 1 Itemgroep, 6 Data-elementen, 1 Taal
Itemgroep: IG.elig
Principal Investigator: Sharon L.R. Kardia, PhD, University of Michigan, Ann Arbor, MI, USA MeSH: Hypertension,Aging,Arterial Pressure,Arteriosclerosis,Atherosclerosis,Biomarkers,Blood Pressure,Cardiovascular Diseases,Cholesterol,Cholesterol, HDL,Cholesterol, LDL,Coronary Artery Disease,Diabetes Mellitus,Echocardiography,Endophenotypes,Hyperglycemia,Hyperinsulinism,Hypertrophy, Left Ventricular,Inflammation,Kidney Failure, Chronic,Leukoaraiosis,Lipids,Obesity,Obesity, Abdominal,Peripheral Arterial Disease,Renal Insufficiency, Chronic,Triglycerides,Vascular Calcification https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001345 The Genetic Epidemiology Network of Arteriopathy (GENOA) is one of four networks in the NHLBI Family-Blood Pressure Program (FBPP). GENOA's long-term objective is to elucidate the genetics of target organ complications of hypertension, including both atherosclerotic and arteriolosclerotic complications involving the heart, brain, kidneys, and peripheral arteries. The longitudinal GENOA Study recruited European-American and African-American sibships with at least 2 individuals with clinically diagnosed essential hypertension before age 60 years. All other members of the sibship were invited to participate regardless of their hypertension status. Participants were diagnosed with hypertension if they had either 1) a previous clinical diagnosis of hypertension by a physician with current anti-hypertensive treatment, or 2) an average systolic blood pressure = 140 mm Hg or diastolic blood pressure = 90 mm Hg based on the second and third readings at the time of their clinic visit. Only participants of the African-American Cohort were sequenced through TOPMed. The Family Blood Pressure Program (FBPP), GENOA's parent program, is an unprecedented collaboration to identify genes influencing blood pressure (BP) levels, hypertension, and its target-organ damage. This program has conducted over 21,000 physical examinations, assembled a shared database of several hundred BP and hypertension-related phenotypic measurements, completed genome-wide linkage analyses for BP, hypertension, and hypertension associated risk factors and complications, and published over 130 manuscripts on program findings. The FBPP emerged from what was initially funded as four independent networks of investigators (HyperGEN, GenNet, SAPPHIRe and GENOA) competing to identify genetic determinants of hypertension in multiple ethnic groups. Realizing the greater likelihood of success through collaboration, the investigators created a single confederation with program-wide and network-specific goals. Comprehensive phenotypic data for GENOA study participants are available through dbGaP phs001238.

pht008602.v1.p1

1 Itemgroep 4 Data-elementen

pht008603.v1.p1

1 Itemgroep 2 Data-elementen

pht008604.v1.p1

1 Itemgroep 10 Data-elementen

Eligibility Chronic Kidney Disease NCT01250405

- 23/2/16 - 1 Formulier, 2 Itemgroepen, 14 Data-elementen, 1 Taal
Itemgroepen: Inclusion Criteria, Exclusion Criteria
Acute Effects of Cinacalcet on Arterial Stiffness and Ventricular Function in Hemodialysis Patients; ODM derived from: https://clinicaltrials.gov/show/NCT01250405

dbGaP phs000974 NHLBI TOPMed: Whole Genome Sequencing and Related Phenotypes in the Framingham Heart Study - Eligibility

- 1/12/23 - 4 Formulieren, 1 Itemgroep, 1 Data-element, 1 Taal
Itemgroep: IG.elig
Principal Investigator: Vasan Ramachandran, Department of Medicine, Boston University School of Medicine, Boston, MA, USA MeSH: Cardiovascular Diseases,Atherosclerosis,Atrial Fibrillation,Death, Sudden, Cardiac,Diabetes Mellitus, Type 2,Heart Failure,Blood Pressure,Hypertension,Body Mass Index,Adiposity,Lipids,Pulmonary Disease, Chronic Obstructive,Renal Insufficiency, Chronic,Stroke,Osteoporosis,Risk Factors,Biological Markers,Biomarkers, Pharmacological https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000974 The Framingham Heart Study (FHS) is a prospective cohort study of 3 generations of subjects who have been followed up to 65 years to evaluate risk factors for cardiovascular disease. Its large sample of ~15,000 men and women who have been extensively phenotyped with repeated examinations make it ideal for the study of genetic associations with cardiovascular disease risk factors and outcomes. DNA samples have been collected and immortalized since the mid-1990s and are available on ~8000 study participants in 1037 families. These samples have been used for collection of GWAS array data and exome chip data in nearly all with DNA samples, and for targeted sequencing, deep exome sequencing and light coverage whole genome sequencing in limited numbers. Additionally, mRNA and miRNA expression data, DNA methylation data, metabolomics and other 'omics data are available on a sizable portion of study participants. This project will focus on deep whole genome sequencing (mean 30X coverage) in ~4100 subjects and imputed to all with GWAS array data to more fully understand the genetic contributions to cardiovascular, lung, blood and sleep disorders. Comprehensive phenotypic and pedigree data for study participants are available through dbGaP phs000007.

pht004909.v3.p3

1 Itemgroep 2 Data-elementen

pht004910.v4.p3

1 Itemgroep 2 Data-elementen

pht004911.v3.p3

1 Itemgroep 9 Data-elementen

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