Abstract

The Recruitment, Assessment Followup (RAF) Core is primarily a service Core, although it does have hypothesis-testing and hypothesis-generating functions as well. The main objectives of this Core are as follow: (1) To identify and screen subjects for the various studies to be conducted by the Center; this recruitment goal has now been expanded to include primary care and other non-academic site patients. (2) To develop, maintain, monitor, in some cases administer, and exert quality control over a comprehensive assessment battery for different protocols. (3) To follow patients long term to evaluate outcome. (4) To test and generate hypotheses. In addition, the Core plans to develop a brain bank of patients followed long-term, in collaboration with the Alzheimer?s Disease Research Center. The proposed RAF Core differs from that in the original Center grant application in that the investigators have put greater emphasis on studies of effectiveness, modified the Core assessment battery to be brief in order to be administered to a large number of subjects, and added Meryl Butters, Ph.D., as Co-Principal Investigator.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Center Core Grants (P30)
Project #
3P30MH052247-08S1
Application #
6662179
Study Section
Special Emphasis Panel (ZMH1)
Project Start
2002-03-01
Project End
2003-02-28
Budget Start
Budget End
Support Year
8
Fiscal Year
2002
Total Cost
Indirect Cost

  Institution

Name
University of Pittsburgh
Department
Type
DUNS #
053785812
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213

  Publications

Smagula, Stephen F; Beach, Scott; Rosso, Andrea L et al. (2017) Brain Structural Markers and Caregiving Characteristics as Interacting Correlates of Caregiving Strain. Am J Geriatr Psychiatry 25:582-591
Smagula, Stephen F; Wallace, Meredith L; Anderson, Stewart J et al. (2016) Combining moderators to identify clinical profiles of patients who will, and will not, benefit from aripiprazole augmentation for treatment resistant late-life major depressive disorder. J Psychiatr Res 81:112-8
Khalaf, Alexander; Edelman, Kathryn; Tudorascu, Dana et al. (2015) White Matter Hyperintensity Accumulation During Treatment of Late-Life Depression. Neuropsychopharmacology 40:3027-35
Patel, Meenal J; Andreescu, Carmen; Price, Julie C et al. (2015) Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction. Int J Geriatr Psychiatry 30:1056-67
Joel, Ian; Begley, Amy E; Mulsant, Benoit H et al. (2014) Dynamic prediction of treatment response in late-life depression. Am J Geriatr Psychiatry 22:167-76
Diniz, Breno S; Reynolds 3rd, Charles F; Butters, Meryl A et al. (2014) The effect of gender, age, and symptom severity in late-life depression on the risk of all-cause mortality: the Bambuí Cohort Study of Aging. Depress Anxiety 31:787-95
Andreescu, Carmen; Teverovsky, Esther; Fu, Bo et al. (2014) Old worries and new anxieties: behavioral symptoms and mild cognitive impairment in a population study. Am J Geriatr Psychiatry 22:274-84
Chisholm, Denise; Toto, Pamela; Raina, Ketki et al. (2014) Evaluating capacity to live independently and safely in the community: Performance Assessment of Self-care Skills. Br J Occup Ther 77:59-63
Gallo, Joseph J; Morales, Knashawn H; Bogner, Hillary R et al. (2013) Long term effect of depression care management on mortality in older adults: follow-up of cluster randomized clinical trial in primary care. BMJ 346:f2570
Sherer, Eric A; Sale, Mark E; Pollock, Bruce G et al. (2012) Application of a single-objective, hybrid genetic algorithm approach to pharmacokinetic model building. J Pharmacokinet Pharmacodyn 39:393-414

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