The Clinical Research Support Core will provide carefully diagnosed and evaluated patients for ADRC-related projects and manage and analyze data obtained from these patients. The core has two sections, one for patient recruitment and the other for data management. The patient recruitment section will identify patients who are eligible for clinical studies, document eligibility criteria, and refer patients to the staff of appropriate research project. A centralized facility for organizing the efficient and systematic screening of patients ensures consistent patient recruitment approaches and diagnostically homogeneous subjects. Patients will be recruited for the HPA-axis and Noradrenergic Markers studies and will include a range of patients with AD who will all meet NINCDS criteria for probable or possible AD. Since both of the clinical projects proposed in this application involve many different types of measures obtained from the same patients over long periods of time, centralized data management will be essential to insure that all data types can be used together throughout the study. Furthermore, particularly for the projects that involve longitudinal follow-up, it is likely that study patients may be located in a variety of different clinical settings and a centralized system for storing and retrieving data relevant to clinical projects will be essential. In addition, the data management section of the ADRC's Clinical Research Support Core will continue to manage a computerized registry of patients seen in ADRC projects.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005138-08
Application #
3802547
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
8
Fiscal Year
1991
Total Cost
Indirect Cost
Name
Mount Sinai School of Medicine
Department
Type
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10029
Gallagher, Damien; Kiss, Alex; Lanctot, Krista et al. (2018) Depression and Risk of Alzheimer Dementia: A Longitudinal Analysis to Determine Predictors of Increased Risk among Older Adults with Depression. Am J Geriatr Psychiatry 26:819-827
Silverman, Jeremy M; Schmeidler, James (2018) Outcome age-based prediction of successful cognitive aging by total cholesterol. Alzheimers Dement 14:952-960
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064
Lin, Ming; Gong, Pinghua; Yang, Tao et al. (2018) Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment. Alzheimer Dis Assoc Disord 32:18-27
Ramsey, Christine M; Gnjidic, Danijela; Agogo, George O et al. (2018) Longitudinal patterns of potentially inappropriate medication use following incident dementia diagnosis. Alzheimers Dement (N Y) 4:1-10
Warren, Noel A; Voloudakis, Georgios; Yoon, Yonejung et al. (2018) The product of the ?-secretase processing of ephrinB2 regulates VE-cadherin complexes and angiogenesis. Cell Mol Life Sci 75:2813-2826
Tsartsalis, Stergios; Xekardaki, Aikaterini; Hof, Patrick R et al. (2018) Early Alzheimer-type lesions in cognitively normal subjects. Neurobiol Aging 62:34-44
Ridge, Perry G; Karch, Celeste M; Hsu, Simon et al. (2018) Correction to: Linkage, whole genome sequence, and biological data implicate variants in RAB10 in Alzheimer's disease resilience. Genome Med 10:4
Pimenova, Anna A; Raj, Towfique; Goate, Alison M (2018) Untangling Genetic Risk for Alzheimer's Disease. Biol Psychiatry 83:300-310
Kirson, Noam Y; Scott Andrews, J; Desai, Urvi et al. (2018) Patient Characteristics and Outcomes Associated with Receiving an Earlier Versus Later Diagnosis of Probable Alzheimer's Disease. J Alzheimers Dis 61:295-307

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