Audio recorded conversations between overweight and obese adolescents and their primary care physicians

Contains all information (protocol and result data elements) about every study registered in ClinicalTrials.gov. Content is downloaded from Clinicaltrials.gov daily and loaded into AACT. It is supported by the Clinical Trials Transformation Initiative (CTTI). As a cloud-hosted PostgreSQL database, AACT can be directly accessed via standard query and analytic tools or users can download a static copy.

The contents of BioSight include ocular tissue samples and blood products with corresponding de-identified clinical data for research studies conducted by Duke Eye Center investigators, faculty, and/or designated collaborators.

Includes 81 older adults with age-related macular degeneration (AMD) and 85 age-matched controls. All participants have comprehensive cognitive assessment, audiology, visual acuity, and demographic data. All eligible participants (about half of the cohort) underwent resting state brain MRI (fMRI, DTI, structural MRI). Mean age of cohort is 73.

Contains demographics, diagnosis, outcomes data, and subject specimens (peripheral blood) from 1999-present of women undergoing diagnostic biopsy to detect breast cancer. Only subjects consenting for the study are included.

Contains molecular data (including specimens) and phenotype data sets pertaining to studies on pain disorders conducted by the Center for Translational Pain Medicine in almost 5,000 research subjects. Cohorts include studies on temporomandibular disorders and other chronic overlapping pain conditions, including the OPPERA collaborative agreement. Molecular data sets include genome-wide genotyping and methylation profiles, and RNA and protein expression. Phenotype data include clinical assessment for pain, quantitative sensory testing, autonomic response, environmental exposures, and psychosocial profiling.

Started in 2008 and includes more than 430 pregnancies in women with a range of rheumatic diseases including lupus, rheumatoid arthritis, and others. It includes clinical data collected at clinic visits such as measures of disease activity, medication use in pregnancy, and pregnancy outcomes. There is also a biospecimen sample repository for most pregnancies that includes RNA (x 4years), serum, and plasma (x 8 years).

The Duke Databank for Cardiovascular Disease (DDCD) is a procedure-based databank including all cardiac catheterization records for patients treated between July 2, 1969 and March 17, 2015 at Duke University Medical Center. The DDCD is the largest and oldest cardiovascular databank in the world. These datasets are provided to researchers upon approval from an independent review committee.

DukeCath Research Dataset: Extracted from the DDCD, this de-identified dataset contains one record per catheterization procedure, and includes patient characteristics, catheterization results, interventional treatments, and long-term outcomes data that allows for assessments of relationships of variables with outcomes, as well as an examination of time trends. It is suitable for clinical and/or methodological research and publication purposes.

DukeCathR Educational Dataset: This educational dataset has been specifically created to serve as a teaching aid for instructors. It has been anonymized and intentionally modified so that any meaningful or publishable clinical interpretations are impossible.

Hospital financial data is available to researchers based on approval from the CFO. This includes direct costs by type (variable and fixed) for visits, procedures, drugs, supplies, and other items billed to patients. Reimbursement is available upon approval for specific patient groups or patient accounts if relevant to the research; however, reimbursement data by payor is restricted, and charges to patients are also typically excluded from the data.

DENDRITe is a comprehensive, real-time Neurocritical Care patient data repository that consolidates patient data from a variety of sources within the electronic medical record. This data optimization will allow clinicians an easy, rapid and reliable method to retrieve data for retrospective research projects, clinical trial feasibility assessments, and QI/QA initiatives. Data is updated daily. The repository includes demographics, medical history, hospital diagnoses, medication information, imaging, clinical scores (i.e., CGS, NIHSS), vitals, flowsheet information, labs, ventilator settings, operative information, bedside procedure information, and disposition information.