Search results - Portal of Medical Data Models (MDM-Portal)

Filter search results
Select data models

Selected data models

You must log in to select data models for download or further analysis.

14 Search results.

Eligibility Heart Failure, Congestive NCT00293852

- 9/17/21 - 1 form, 2 itemgroups, 17 items, 1 language

Itemgroups: Inclusion Criteria, Exclusion Criteria

Collaborative Care for Heart Failure Patients With the Metabolic Syndrome; ODM derived from: https://clinicaltrials.gov/show/NCT00293852

Eligibility Chronic Heart Failure NCT00841139

- 11/29/17 - 1 form, 2 itemgroups, 14 items, 1 language

Itemgroups: Inclusion Criteria, Exclusion Criteria

Metabolic Manipulation in Chronic Heart Failure; ODM derived from: https://clinicaltrials.gov/show/NCT00841139

Eligibility Acute Heart Failure NCT00449423

- 12/3/15 - 1 form, 2 itemgroups, 14 items, 1 language

Itemgroups: Inclusion Criteria, Exclusion Criteria

Metabolic Modulation as Treatment in Acute Heart Failure; ODM derived from: https://clinicaltrials.gov/show/NCT00449423

Eligibility Acute Heart Failure NCT00922402

- 12/3/15 - 1 form, 2 itemgroups, 14 items, 1 language

Itemgroups: Inclusion criteria, Exclusion criteria

Heart & Diabetes - Feasibility Study; ODM derived from: https://clinicaltrials.gov/show/NCT00922402

Eligibility Heart Failure NCT02122835

- 1/20/20 - 1 form, 2 itemgroups, 13 items, 1 language

Itemgroups: Inclusion Criteria, Exclusion Criteria

Exercise, Heart Failure, and Type 2 Diabetes; ODM derived from: https://clinicaltrials.gov/show/NCT02122835

Eligibility Heart Failure NCT02397421

- 4/5/19 - 1 form, 2 itemgroups, 18 items, 1 language

Itemgroups: Inclusion Criteria, Exclusion Criteria

Safety and Effectiveness of SGLT-2 Inhibitors in Patients With Heart Failure and Diabetes; ODM derived from: https://clinicaltrials.gov/show/NCT02397421

Pharmacokinetics of an oral contraceptive co-administered with Albiglutide in women - 107032 - Adjudication Events - Heart Failure

- 1/4/19 - 1 form, 15 itemgroups, 86 items, 1 language

Itemgroups: Administrative data, Hospitalization for Heart Failure, Clinical Symptoms of Heart Failure, Investigative Evidence of Structural or Functional Heart Disease, Chest X-Ray, Echocardiography, Left ventricular systolic dysfunction / impairment, Significant valvular heart disease, BNP (B-type natriuretic peptide) or NT-proBNP (N-terminal proBNP), Peak BNP/NT-proBNP value + the laboratory upper reference limit, BNP, NT-proBNP, Other Investigations, Treatment, Description of Event

Study ID: 107032 Clinical Study ID: GLP107032 Study Title: An open-label study to evaluate the pharmacokinetics of an oral contraceptive containing Norethindrone and Ethinyl Estradiol when co-administered with GSK716155 in healthy adult female subjects Patient Level Data: Study Listed on ClinicalStudyDataRequest.com Clinicaltrials.gov Identifier: NCT01077505 Sponsor: GlaxoSmithKline Collaborators: N/A Phase: Phase 1 Study Recruitment Status: Completed Generic Name: albiglutide Trade Name: Tanzeum,Eperzan Study Indication: Diabetes Mellitus, Type 2

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

- 12/1/23 - 4 forms, 1 itemgroup, 1 item, 1 language

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 Heart Failure NCT01807221

- 1/15/20 - 1 form, 2 itemgroups, 15 items, 1 language

Itemgroups: Inclusion Criteria, Exclusion Criteria

Phase IIb Safety and Efficacy Study of Different Oral Doses of BAY94-8862 in Subjects With Worsening Chronic Heart Failure and Left Ventricular Systolic Dysfunction and Either Type 2 Diabetes Mellitus With or Without Chronic Kidney Disease or Chronic Kidney Disease Alone; ODM derived from: https://clinicaltrials.gov/show/NCT01807221

dbGaP phs000703 CATHeterization GENetics (CATHGEN) - pht003668.v1.p1

- 1/10/23 - 6 forms, 1 itemgroup, 2 items, 1 language

Itemgroup: pht003668

Principal Investigator: MeSH: Coronary Disease,Hypertension,Diabetes Mellitus,Heart Failure https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000703 The CATHGEN biorepository consists of biological samples collected on 9334 sequential consenting individuals undergoing cardiac catheterization at Duke University Medical Center between 2001 and 2010 inclusive. The Institutional Review Board informed consent allowed for 50 mL of blood to be collected from fasting patients through the femoral arterial sheath during the catheterization procedure. Three 7.5 mL EDTA tubes for DNA extraction are stored at -80°C. The Duke Database for Cardiovascular Disease (DDCD) provides the bulk of the clinical data used for analysis. Follow-up includes mortality information gleaned from the National Death Index and Social Security Death Index plus follow-up phone calls and written questionnaires regarding MI, stroke, re-hospitalization, coronary re-vascularization procedures, smoking, exercise, and medication use.

pht003670.v1.p1

1 itemgroup 16 items

pht003672.v1.p1

1 itemgroup 15 items

pht003673.v1.p1

1 itemgroup 4 items

pht003669.v1.p1

1 itemgroup 5 items

pht003671.v1.p1

1 itemgroup 4 items

dbGaP phs000090 The Atherosclerosis Risk in Communities (ARIC) Study - pht001035.v1.p1

- 10/12/22 - 3 forms, 1 itemgroup, 4 items, 1 language

Itemgroup: pht001035.v1.p1

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000090 The Atherosclerosis Risk in Communities (ARIC) Study, sponsored by the National Heart, Lung and Blood Institute (NHLBI), is a prospective epidemiologic study conducted in four U.S. communities. The four communities are Forsyth County, NC; Jackson, MS; the northwest suburbs of Minneapolis, MN; and Washington County, MD. ARIC is designed to investigate the etiology and natural history of atherosclerosis, the etiology of clinical atherosclerotic diseases, and variation in cardiovascular risk factors, medical care and disease by race, gender, location, and date. ARIC includes two parts: the Cohort Component and the Community Surveillance Component. The Cohort Component began in 1987, and each ARIC field center randomly selected and recruited a cohort sample of approximately 4,000 individuals aged 45-64 from a defined population in their community. A total of 15,792 participants received an extensive examination, including medical, social, and demographic data. These participants were reexamined every three years with the first screen (baseline) occurring in 1987-89, the second in 1990-92, the third in 1993-95, and the fourth and last exam was in 1996-98. Follow-up occurs yearly by telephone to maintain contact with participants and to assess health status of the cohort. In the Community Surveillance Component, currently ongoing, these four communities are investigated to determine the community-wide occurrence of hospitalized myocardial infarction and coronary heart disease deaths in men and women aged 35-84 years. Hospitalized stroke is investigated in cohort participants only. Starting in 2006, the study conducts community surveillance of inpatient (ages 55 years and older) and outpatient heart failure (ages 65 years and older) for heart failure events beginning in 2005. ARIC is currently funded through January 31, 2012. This study is part of the Gene Environment Association Studies initiative (GENEVA, http://www.genevastudy.org) funded by the trans-NIH Genes, Environment, and Health Initiative (GEI). The overarching goal is to identify novel genetic factors that contribute to atherosclerosis and cardiovascular disease through large-scale genome-wide association studies of well-characterized cohorts of adults in four defined populations. Genotyping was performed at the Broad Institute of MIT and Harvard, a GENEVA genotyping center. Data cleaning and harmonization were done at the GEI-funded GENEVA Coordinating Center at the University of Washington.

pht000114.v1.p1

1 itemgroup 362 items

pht001036.v1.p1

1 itemgroup 4 items

dbGaP phs000428 Health and Retirement Study (HRS) - pht005036.v1.p2

- 1/29/25 - 6 forms, 1 itemgroup, 4 items, 1 language

Itemgroup: pht005036

Principal Investigator: David Weir, PhD, University of Michigan, Ann Arbor, MI, USA MeSH: Aging,Neoplasms,Arthritis,Lung Diseases, Obstructive,Dementia,Heart Diseases,Heart Failure,Hypertension,Myocardial Infarction,Diabetes Mellitus,Hypercholesterolemia,Obesity,Body Weight,Mobility Limitation,Pain,Cholesterol,Hemoglobin A, Glycosylated,C-Reactive Protein,Cystatin C,Depression,Alcohol Drinking,Smoking,Personality,Life Style,Cognition,Demography,Ethnic Groups,Health Status,Population Groups,Housing,Independent Living,Socioeconomic Factors,Career Mobility,Educational Status,Employment,Family Characteristics,Income,Occupations,Poverty,Social Change,Social Class,Social Conditions,Risk Factors https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000428 *Introduction to V2: *This data release comprises data from the V1 release combined with approximately 3,000 additional samples, collected during the HRS 2010 field period. The 2010 data include samples from a random half of the new cohort enrolled in 2010 along with a significant expansion of the minority sample. *Description:* The University of Michigan Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of approximately 20,000 people in America over the age of 50 every two years. Supported by the National Institute on Aging (NIA U01AG009740) and the Social Security Administration, the HRS explores the changes in labor force participation and the health transitions that individuals undergo toward the end of their work lives and in the years that follow. The study collects information about income, work, assets, pension plans, health insurance, disability, physical health and functioning, cognitive functioning, and health care expenditures. Through its unique and in-depth interviews, the HRS provides an invaluable and growing body of multidisciplinary data that researchers can use to address important questions about the challenges and opportunities of aging. Because of its innovation and importance, the HRS has become the model and hub for a growing network of harmonized longitudinal aging studies around the world. *Origins of the HRS.* As the population ages it is increasingly important to obtain reliable data about aging and topics that are relevant to a range of policy issues in aging. To address this need, the National Institutes on Aging (NIA) established a cooperative agreement with the University of Michigan Institute for Social Research to collect such data. The HRS launched data collection in 1992 and has re-interviewed the original sample of respondents every two years since then. By adding new cohorts and refreshing the sample, the HRS has grown to become the largest, most representative longitudinal panel study of Americans 50 years and older. *HRS Study Design.* The target population for the original HRS cohort includes all adults in the contiguous United States born during the years 1931-1941 who reside in households, with a 2:1 oversample of African-American and Hispanic populations. The original sample is refreshed with new birth cohorts (51-56 years of age) every six years. The sample has been expanded over the years to include a broader range of birth cohorts as well. The target population for the AHEAD survey consists of United States household residents who were born in 1923 or earlier. Children of the Depression (CODA) recruits households born 1924-1930, War Babies 1942-47, Early Boomers 1948-53, and Mid-Boomers 1954-59. Data collection includes a mixed mode design combining in-person, telephone, mail, and Internet. For consenting respondents, HRS data are linked at the individual level to administrative records from Social Security and Medicare claims. *Genetic Research in the HRS.* The HRS has genotyped 2.5 million single nucleotide polymorphisms (SNPs) on respondents using Illumina's Human Omni2.5-Quad (Omni2.5) BeadChip. The genotyping was performed by the NIH Center for Inherited Disease Research (CIDR). Saliva was collected on half of the HRS sample each wave starting in 2006. In 2006, saliva was collected using a mouthwash collection method. From 2008 onward, the data collection method switched to the Oragene kit. Saliva completion rates were 83% in 2006, 84% in 2008, and 80% in 2010 among new cohort enrollees. HRS Phenotypic data. Phenotypic data are available on a variety of dimensions. Health measures include physical/psychological self-report, various health conditions, disabilities, cognitive performance, health behaviors (smoking, drinking, exercise), physical performance and anthropomorphic measures, and biomarkers (HbA1c, Total Cholesterol, HDL, CRP, Cystatin-C). Data are also available on health services including utilization, insurance and out-of-pocket spending with linkage to Medicare records. Economic measures include employment status/history, earnings, disability, retirement, type of work, income by source, wealth by asset type, capital gains/debt, consumption, linkage to pensions, Social Security earnings/benefit histories. There is also extensive information on family structure, proximity, transfers to/from of money, time, social and psychological characteristics, as well as a wide range of demographics. Performance on a cognitive test combining immediate and delayed word recall was selected as an example trait for the dbGaP data release. In the immediate word recall task the interviewer reads a list of 10 nouns to the respondent and asks the respondent to recall as many words as possible from the list in any order. After approximately five minutes of asking other survey questions, the respondent is asked to recall the nouns previously presented as part of the immediate recall task. The total recall score is the sum of the correct answers to these two tasks, with a range of 0 to 20. Researchers who wish to link to other HRS measures not in dbGaP will be able to apply for access from HRS. A separate Data Use Agreement (DUA) will be required for linkage to the HRS data. See the HRS website (http://hrsonline.isr.umich.edu/gwas) for details.

Eligibility

1 itemgroup 6 items

pht002612.v2.p2

1 itemgroup 4 items

pht002613.v2.p2

1 itemgroup 5 items

pht002614.v2.p2

1 itemgroup 7 items

pht005037.v1.p2

1 itemgroup 5 items

Please use this form for feedback, questions and suggestions for improvements.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.