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Insuficiencia Crónica Renal ×
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Tabla de contenido
  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
Modelos de datos seleccionados

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5 Resultados de la búsqueda.
Relevancia Evaluación Nuevo primero Antiguo primero

dbGaP phs000961 eMERGE III: Columbia GENIE (Genomic Integration with EHR) - pht005331.v1.p1

- 31/1/24 - 5 formularios, 1 itemgroup, 3 items, 1 idioma
Itemgroup: pht005331
Principal Investigator: Chunhua Weng, PhD, Department of Biomedical Informatics, Columbia University, College of Physicians and Surgeons, New York, NY, USA MeSH: NA,Renal Insufficiency, Chronic,Alzheimer Disease,Aortic Aneurysm, Abdominal,Asthma,Attention Deficit Disorder with Hyperactivity,Clostridium difficile,Dermatitis, Atopic,Diabetes Mellitus, Type 2,Heart Diseases,Herpes Zoster,Hypothyroidism,Methicillin-Resistant Staphylococcus aureus,Prostatic Hyperplasia https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000961 The Columbia GENIE study contributes and shares phenotype and genotype data for individuals who were treated with our healthcare facilities and consented to share their data with dbGaP for scientific discovery. Some of these individuals have kidney or neurological problems and some are healthy volunteers from the Washington Height patient community. The purpose of this NOMAS study is to obtain information about physical features of the brain, carotid arteries, and heart. Some of our patients are pediatric patients with cardiac conditions. The study sample consists of four patient cohorts: - Northern Manhattan Study (NOMAS), N=1072 - Pediatric Cardiac Genomic Consortium (PCGC), n=374 - Caribbean Hispanics with Familial and Sporadic Late Onset Alzheimer's disease (Caribbean Hispanics/AD), n=330 - Alzheimer's Disease Sequencing Project (ADSP, n=44) - Genetics of Chronic Kidney Disease Study, n=1256

pht005332.v1.p1

1 itemgroup 23 items

pht005333.v1.p1

1 itemgroup 3 items

Eligibility

1 itemgroup 3 items

pht005330.v1.p1

1 itemgroup 4 items

dbGaP phs000650 Genetic Factors Linked with Renal Progression (PediGFR) - CKiD - pht003484.v1.p1

- 29/1/25 - 5 formularios, 1 itemgroup, 2 items, 1 idioma
Itemgroup: pht003484
Principal Investigator: Craig Wong, MD, MPH, University of New Mexico, Health Sciences Center and UNM Children's Hospital, Albuquerque, NM, USA MeSH: Kidney Diseases,Renal Insufficiency,Renal Insufficiency, Chronic https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000650 The Pediatric Investigation for Genetic Factors Associated with Renal Progression (PediGFR) (RO1-DK082394) is an international collaborative study among three large prospective cohort studies of children with chronic kidney disease. The participating parent cohort studies are the "Chronic Kidney Disease in Children (CKiD)", the "Effect of Strict Blood Pressure Control and ACE Inhibition on CRF Progression in Pediatric Patients (ESCAPE)", and the "Cardiovascular Comorbidity in Children with Chronic Kidney Disease (4C)" study. In these cohorts, pediatric subjects with CKD have been prospectively followed with standardized measurements for renal progression. The current version of the upload includes the genotype and baseline phenotype for the CKiD cohort. In brief the CKiD study is a prospective study of children with chronic kidney disease (CKD) between the ages of 1 year to 16 years of age and an estimated glomerular filtration rate (eGFR) by Schwartz equation between 30 and 75 ml/min per 1.73msup2/sup. Included in this upload are the phenotypic data for anemia traits utilized for the sub-study, "Role of Genetic Variation in the Anemia of Chronic Kidney Disease" (K24DK078737), with the RBC trait and anemia data pertaining to CKiD as well.

pht003485.v1.p1

1 itemgroup 3 items

pht003487.v1.p1

1 itemgroup 5 items

Eligibility

1 itemgroup 1 item

pht003486.v1.p1

1 itemgroup 21 items

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

- 1/12/23 - 4 formularios, 1 itemgroup, 1 item, 1 idioma
Itemgroup: 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 itemgroup 2 items

pht004910.v4.p3

1 itemgroup 2 items

pht004911.v3.p3

1 itemgroup 9 items

Eligibility Psychological Characteristics Involved in Dietary Compliance NCT02345759

- 20/2/20 - 1 formulario, 2 itemgroups, 9 items, 1 idioma
Itemgroups: Inclusion Criteria, Exclusion Criteria
Psychological Aspects and Patients Compliance to Restricted-protein Regimens in Chronic Kidney Disease; ODM derived from: https://clinicaltrials.gov/show/NCT02345759

dbGaP phs001345 NHLBI TOPMed: Genetic Epidemiology Network of Arteriopathy (GENOA) - Eligibility

- 5/3/23 - 4 formularios, 1 itemgroup, 6 items, 1 idioma
Itemgroup: 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 itemgroup 4 items

pht008603.v1.p1

1 itemgroup 2 items

pht008604.v1.p1

1 itemgroup 10 items

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