The MACS, a large comprehensive cohort study of gay men, has made
important contributions to the epidemiology and natural history of HIV
infection and AIDS. With the introduction of potent anti-retroviral
therapies, there are scientific issues of great significance that
necessitate the continuation of this cohort. The 4 sites and the data
center have collaborated productively since 1983. After 15 years, 75% of
the living participants have been retained in active follow-up. It is
estimated that by the year 2003, there will be 657 AIDS-free HIV
positive and 116 AIDS cases under follow-up. These men and selected
subsets of the persistently seronegative cohort members will provide
data to achieve the scientific goals of the MACS, which are to define:
1) effectiveness of therapies at the population level; 2) determinants
of use and response to therapies; 3) virologic characteristics, immune
responses and genetics of progressors and long-term non-progressors; 4)
mechanisms of resistance to infection; 5) prognostic markers in treated
individuals; 6) determinants of specific clinical outcomes; and 7)
epidemiology of HIV-1 related malignancies. Part A of this proposal
describes the study's core methods which will be implemented by MACS
investigations in collaboration with the MACS Pathogenesis Research
Laboratories (MPRL) and external investigators. Part B of this proposal
contains details of the application of the Center for the Coordination,
Analysis and Management of the MACS research (CAMACS). The specific aims
of CAMACS are: 1) to coordinate the MACS-wide research including the
MPRL; 2) to manage the data collected, including repository samples; 3)
to collaborate in the design and analysis of pathogenesis studies; 4) to
provide leadership in analysis and interpretation of MACS-wide data,
including methodological research; and 5) to issue a MACS public data
base for external investigators. CAMACS investigators have expertise in
research coordination, systems and data management, epidemiology and
biostatistical methods for complex longitudinal data and survival
analysis.
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We apologize for the inconvenience.
- The DCCPS Team.