Recent advances in the treatment of HIV disease have produced dramatic reductions in AIDS-related morbidity) and mortality in the United States. In addition to effective drug combinations, clinicians now have available a range of laboratory techniques, including HIV RNA, resistance testing, and therapeutic drug monitoring. Yet these advances also give rise to new challenges in developing standards of patient care and allocating scarce resources. Over the past seven years, our research team has developed a computer simulation of HIV disease: the """"""""Cost-effectiveness of Preventing AIDS Complications"""""""" or """"""""CEPAC"""""""" model. We have used this model to address a host of important questions at the interface between HIV clinical care and HIV policy. In the first cycle of NlAlD support, we published 26 papers on topics ranging from the cost-effectiveness of antiretroviral therapy to the use of genotypic resistance testing.In this continuation, we propose to refine and update the CEPAC model to address emerging questions in HIV management and cost-effectiveness. We have four specific aims: (1) To assess the optimal timing of initiation of antiretroviral therapy for chronic HIV, considering the efficacy, long-term complications, cost, and cost-effectiveness of therapy; (2) To evaluate the clinical impact, cost, and cost-effectiveness of strategies using genotypic and/or phenotypic resistance testing as well as therapeutic drug monitoring combined with resistance testing; (3) To examine the clinical impact, long-term complications and cost-effectiveness of switching antiretroviral regimens based on both virologic (HIV RNA) and immunologic (CD4) parameters for patients at different stages of disease; and (4) To use the CEPAC model to conduct exploratory analyses of patient management decisions and to identify key variables in clinical areas where data are limited, including primary HIV infection and structured treatment interruption.We have a proven record of producing and disseminating findings that have helped to set priorities in HIV care, clinical trial design, and guideline development.
Our aim, in the present proposal, is to exert an equally important impact in the years to come.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI042006-08
Application #
6736216
Study Section
AIDS and Related Research 8 (AARR)
Program Officer
Williams, Carolyn F
Project Start
1998-04-01
Project End
2006-03-31
Budget Start
2004-04-01
Budget End
2005-03-31
Support Year
8
Fiscal Year
2004
Total Cost
$598,711
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Hyle, Emily P; Fields, Naomi F; Fiebelkorn, Amy Parker et al. (2018) The Clinical Impact and Cost-effectiveness of MMR Vaccination to Prevent Measles Importations among US International Travelers. Clin Infect Dis :
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Linas, Benjamin P; Morgan, Jake R; Pho, Mai T et al. (2017) Cost Effectiveness and Cost Containment in the Era of Interferon-Free Therapies to Treat Hepatitis C Virus Genotype 1. Open Forum Infect Dis 4:ofw266
Borre, Ethan D; Hyle, Emily P; Paltiel, A David et al. (2017) The Clinical and Economic Impact of Attaining National HIV/AIDS Strategy Treatment Targets in the United States. J Infect Dis 216:798-807
Murray, Eleanor J; Robins, James M; Seage, George R et al. (2017) A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference. Am J Epidemiol 186:131-142
Losina, Elena; Hyle, Emily P; Borre, Ethan D et al. (2017) Projecting 10-year, 20-year, and Lifetime Risks of Cardiovascular Disease in Persons Living With Human Immunodeficiency Virus in the United States. Clin Infect Dis 65:1266-1271
Freedberg, Kenneth A; Sax, Paul E (2017) Improving on effective antiretroviral therapy: how good will a cure have to be? J Med Ethics 43:71-73
Koullias, Yiannis; Sax, Paul E; Fields, Naomi F et al. (2017) Should We Be Testing for Baseline Integrase Resistance in Patients Newly Diagnosed With Human Immunodeficiency Virus? Clin Infect Dis 65:1274-1281

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