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Valda datamodeller

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- 2020-04-30 - 1 Formulär, 5 Item-grupper, 62 Dataelement, 1 Språk
Item-grupper: Patient ID, Demographic Factors, Baseline health status, Treatment variables, Burden of Care
HEART FAILURE DATA COLLECTION Version 1.1.4 Revised October 31st, 2017 www.ichom.org Notice: This work was conducted using resources from ICHOM, the International Consortium for Health Outcomes Measurement (www.ICHOM.org). The content is solely the responsibility of the authors and does not necessarily represent the official views of ICHOM. Conditions: Heart Failure Treatment Approaches: Pharmacotherapy | Invasive Therapy | Rehabilitation This ODM-file contains baseline characteristics. It should be filled in at the time of the index event. The index event represents the entry into the set. This could either be after diagnosis/first encounter in an outpatient setting, or at discharge from hospital if the initial presentation was severe enough to require admission. Use of the following Scores for this standard set: KCCQ-12: Kansas City Cardiomyopathy Questionnaire-Short Version: You can obtain a license to use this instrument at your institution by visiting http://cvoutcomes.org/licenses NYHA – New York Heart Association Functional Classification: The NYHA is free for all health care organizations, and a license is not needed. PROMIS Physical Function Short Form 4a – Patient-Reported Outcome Measurement Information System: PROMIS Physical Function is free for all health care organizations, and a license is not needed. For more information, please visit http://www.healthmeasures.net/explore-measurement-systems/promis/obtain-administer-measures . As http://www.nihpromis.org/ is the official distribution site for PROMIS questionnaires and translations, only the total score will be included in this version of the standard set. Patient Health Questionnaire (PHQ-2): Copyright by Pfizer: "content found on the PHQ Screeners site is free for download and use as stated within the PHQ Screeners site, please visit http://www.phqscreeners.com/ for more information. ICHOM was supported for the Heart Failure Standard Set by GIG Cymru NHS Wales, American Heart Association, British Heart Foundation, Heart Failure Association of the ESC and European Society of Cardiology. Publication: Burns DJP, Arora J, Okunade O, Beltrame JF, Bernardez-Pereira S, Crespo-Leiro MG, et al. International Consortium for Health Outcomes Measurement (ICHOM): Standardized Patient-Centered Outcomes Measurement Set for Heart Failure Patients. JACC: Heart Failure. 2020 Mar 1;8(3):212–22. For this version of the standard set, semantic annotation with UMLS CUIs has been added.
- 2022-10-12 - 6 Formulär, 1 Item-grupp, 7 Dataelement, 1 Språk
Item-grupp: IG.elig
Principal Investigator: Joseph P. Broderick, MD, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA MeSH: Intracranial Aneurysm,Aortic Aneurysm, Abdominal https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000293 Our long-term objective is to identify susceptibility genes that are related to the formation of intracranial aneurysms (IA). Rupture of IAs occurs in 16,000 to 17,000 persons in the U.S. annually and nearly half of affected persons are dead within the first 30 days. An additional 6,000 to 7,000 persons with unruptured IAs are identified each year. Accumulated evidence indicates that a genetic component plays an important role in the development of IAs, but specific loci affecting the risk of IA have not been identified. The primary hypothesis of this study is that there are specific human chromosomal regions that are associated with an increased risk of IAs. Specific Aims of are:- Recruitment of 400 (475) families with multiple individuals who have an IA through 23 (25) referral centers throughout North America, Australia, and New Zealand that represent 35 (40) recruitment sites. - Ascertainment of interviews and blood samples from all affected family members as well as their first-degree relatives. White blood cells from living persons with an IA will be cryopreserved at Coriell Institute for Medical Research for future immortalization of cells lines as indicated. - Identification of unruptured IAs by obtaining MRAs in selected asymptomatic siblings (of affected individuals). - Completion of a 10 cM genome series in persons with IAs as well as the spouses and children of persons with an IA who are deceased. We will perform finer mapping of chromosomal regions with suggestive evidence of linkage in the genome screen. - Performance of a nonparametric (allele sharing) linkage analysis, including relevant environmental factors such as smoking, to identify chromosomal regions linked to IA. Reconstruction of the genotypes of deceased affected family members will be performed. Identification of individuals who are genetically at high risk for the development of IAs would enable targeted and effective screening/prevention/treatment strategies to reduce the substantial mortality and morbidity associated with this devastating type of stroke. Only a multidisciplinary, collaborative effort to identify, accrue, and genotype FIA families will be successful in identifying sufficient high-risk families to characterize the genetic underpinnings of IA.

pht003364.v1.p1

1 Item-grupp 6 Dataelement

pht003365.v1.p1

1 Item-grupp 3 Dataelement

pht003366.v1.p1

1 Item-grupp 14 Dataelement

pht003363.v1.p1

1 Item-grupp 2 Dataelement

pht003367.v1.p1

1 Item-grupp 3 Dataelement
- 2025-01-29 - 6 Formulär, 1 Item-grupp, 4 Dataelement, 1 Språk
Item-grupp: 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 Item-grupp 6 Dataelement

pht002612.v2.p2

1 Item-grupp 4 Dataelement

pht002613.v2.p2

1 Item-grupp 5 Dataelement

pht002614.v2.p2

1 Item-grupp 7 Dataelement

pht005037.v1.p2

1 Item-grupp 5 Dataelement
- 2023-06-05 - 6 Formulär, 1 Item-grupp, 3 Dataelement, 1 Språk
Item-grupp: pht011095
Principal Investigator: Stephen J. Chanock, National Institutes of Health, Bethesda, MD, USA MeSH: https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001163 Data on transgenerational effects following nuclear accidents are important for understanding fully the consequences of parental exposure to ionizing radiation. Few studies to date have had adequate statistical power to detect effects of the magnitude expected based on animal data, and most have not been of low-dose, protracted exposures associated with nuclear accidents and their aftermath. Although, to date, scant use has been made of the new genomic technologies, in Chernobyl-exposed areas of Ukraine and Belarus, excess minisatellite mutations have been seen in children born after the accident. We propose a study of parent-child trios in which at least one parent was exposed to Chernobyl radiation as a clean-up worker (mean dose=100 mGy) and/or evacuee from a contaminated area (mean =50 mGy). The specific aims are to investigate the transgenerational and de novo mutation rates of the spectrum of genetic variants in trios, in particular looking at effects in children and mapping them to possible parental origin of the chromsoome. Together with long-term collaborators at the Research Center for Radiation Medicine (RCRM) in Kiev, epidemiologic data will be collected for up to 450 trios of parents with preconceptional doses and their unexposed offspring. We will use state-of-the-art genomic technologies to characterize the landscape of the genomes of the trios to determine whether parental radiation exposure is associated with genetic mutations transmitted to the offspring, by examining de novo mutation rates, minisatellite mutations, copy number alterations, and variations in telomere length. The analysis will be conducted in peripheral blood and/or buccal samples (when blood is not available) from complete father-mother-child trios. Doses to the gonads from the time of the accident to the time of conception will be reconstructed for all parents using existing records supplemented by interview data. Trio subjects will be selected from representative populations exposed to radiation from Chernobyl who are under active follow-up in the Clinico-Epidemiologic Registry at RCRM. To help identify specific effects of paternal and maternal radiation exposure, we will initially select sets of trio subjects in five categories: (1) exposed father, unexposed mother; (2) unexposed father, exposed mother; (3) both parents exposed; (4) both parents unexposed; and (5) a group of high dose "emergency workers" with acute radiation syndrome. All trio members will be invited to the RCRM outpatient clinic for collection of a 20 ml blood sample (or buccal cells for those who refuse phlebotomy). Both parents will be asked to complete a general questionnaire to obtain demographic and lifestyle data. Then one or both will complete detailed dosimetry questionnaires, based on forms used in previous collaborations with RCRM and administered by specially trained interviewers. Once 50 trios have been recruited (10 from each of the 5 exposure categories), we will conduct an interim evaluation of participation rates, sample collection and quality, and dose reconstruction in order to modify the protocol as needed. The analytical approach will be to correlate the extent, especially for de novo events of genetic alterations in the offspring with parental pre-conceptional radiation dose overall and by parental origin. The statistical power in relation to de novo mutations is very high, in excess of 90%, but somewhat lower for trends in minisatellite mutations. Study findings will contribute importantly to knowledge of the heritable effects of moderate- and low-dose radiation exposure in humans and to radiation risk projection. Eventually data from the Trio Study may be shared with the international community through dbGap.

pht011096.v1.p1

1 Item-grupp 5 Dataelement

pht011097.v1.p1

1 Item-grupp 2 Dataelement

pht011098.v1.p1

1 Item-grupp 12 Dataelement

pht011099.v1.p1

1 Item-grupp 5 Dataelement

Eligibility

1 Item-grupp 2 Dataelement
- 2020-04-30 - 1 Formulär, 6 Item-grupper, 46 Dataelement, 1 Språk
Item-grupper: Administrative Data, Baseline health status, Treatment variables, Degree of Health, Burden of Care, Mortality
HEART FAILURE DATA COLLECTION Version 1.1.4 Revised October 31st, 2017 www.ichom.org Notice: This work was conducted using resources from ICHOM, the International Consortium for Health Outcomes Measurement (www.ICHOM.org). The content is solely the responsibility of the authors and does not necessarily represent the official views of ICHOM. Conditions: Heart Failure Treatment Approaches: Pharmacotherapy | Invasive Therapy | Rehabilitation This ODM-file contains clinician-reported outcome variables. It should be tracked 6-monthly for life, starting 30 days and 6 months post-index event. The collection rhythm has to be reset in case of an acute admission (including complications): It should be collected during the acute admission, 30 days post-discharge, 6 months following last admission and 6 monthly from then on. Use of the following Scores for this standard set: KCCQ-12: Kansas City Cardiomyopathy Questionnaire-Short Version: You can obtain a license to use this instrument at your institution by visiting http://cvoutcomes.org/licenses NYHA – New York Heart Association Functional Classification: The NYHA is free for all health care organizations, and a license is not needed. PROMIS Physical Function Short Form 4a – Patient-Reported Outcome Measurement Information System: PROMIS Physical Function is free for all health care organizations, and a license is not needed. For more information, please visit http://www.healthmeasures.net/explore-measurement-systems/promis/obtain-administer-measures . As http://www.nihpromis.org/ is the official distribution site for PROMIS questionnaires and translations, only the total score will be included in this version of the standard set. Patient Health Questionnaire (PHQ-2): Copyright by Pfizer: "content found on the PHQ Screeners site is free for download and use as stated within the PHQ Screeners site, please visit http://www.phqscreeners.com/ for more information. ICHOM was supported for the Heart Failure Standard Set by GIG Cymru NHS Wales, American Heart Association, British Heart Foundation, Heart Failure Association of the ESC and European Society of Cardiology. Publication: Burns DJP, Arora J, Okunade O, Beltrame JF, Bernardez-Pereira S, Crespo-Leiro MG, et al. International Consortium for Health Outcomes Measurement (ICHOM): Standardized Patient-Centered Outcomes Measurement Set for Heart Failure Patients. JACC: Heart Failure. 2020 Mar 1;8(3):212–22. For this version of the standard set, semantic annotation with UMLS CUIs has been added.
- 2020-04-30 - 1 Formulär, 3 Item-grupper, 7 Dataelement, 1 Språk
Item-grupper: Administrative Data, Degree of Health, Burden of Care
HEART FAILURE DATA COLLECTION Version 1.1.4 Revised October 31st, 2017 www.ichom.org Notice: This work was conducted using resources from ICHOM, the International Consortium for Health Outcomes Measurement (www.ICHOM.org). The content is solely the responsibility of the authors and does not necessarily represent the official views of ICHOM. Conditions: Heart Failure Treatment Approaches: Pharmacotherapy | Invasive Therapy | Rehabilitation This ODM-file contains patient-reported outcome variables. It should be tracked 6-monthly for life, starting 30 days and 6 months post-index event. The collection rhythm has to be reset after an acute admission (including complications), starting anew at 30 days post-discharge and 6 months post-hospital admission, and tracked 6-monthly from then on. Use of the following Scores for this standard set: KCCQ-12: Kansas City Cardiomyopathy Questionnaire-Short Version: You can obtain a license to use this instrument at your institution by visiting http://cvoutcomes.org/licenses NYHA – New York Heart Association Functional Classification: The NYHA is free for all health care organizations, and a license is not needed. PROMIS Physical Function Short Form 4a – Patient-Reported Outcome Measurement Information System: PROMIS Physical Function is free for all health care organizations, and a license is not needed. For more information, please visit http://www.healthmeasures.net/explore-measurement-systems/promis/obtain-administer-measures . As http://www.nihpromis.org/ is the official distribution site for PROMIS questionnaires and translations, only the total score will be included in this version of the standard set. Patient Health Questionnaire (PHQ-2): Copyright by Pfizer: "content found on the PHQ Screeners site is free for download and use as stated within the PHQ Screeners site, please visit http://www.phqscreeners.com/ for more information. ICHOM was supported for the Heart Failure Standard Set by GIG Cymru NHS Wales, American Heart Association, British Heart Foundation, Heart Failure Association of the ESC and European Society of Cardiology. Publication: Burns DJP, Arora J, Okunade O, Beltrame JF, Bernardez-Pereira S, Crespo-Leiro MG, et al. International Consortium for Health Outcomes Measurement (ICHOM): Standardized Patient-Centered Outcomes Measurement Set for Heart Failure Patients. JACC: Heart Failure. 2020 Mar 1;8(3):212–22. For this version of the standard set, semantic annotation with UMLS CUIs has been added.
- 2018-12-03 - 1 Formulär, 5 Item-grupper, 32 Dataelement, 1 Språk
Item-grupper: Administrative data, Local Symptoms (at injection site) Triple AntigenTM Vaccine, for investigator only, Local Symptoms (at injection site) EngerixTM Vaccine, for investigator only
- 2018-11-30 - 1 Formulär, 5 Item-grupper, 25 Dataelement, 1 Språk
Item-grupper: Administrative data, Solicited Adverse Events, Local Symptoms - Redness, Local Symptoms - Swelling, Local Symptoms - Pain

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