title: [Profiles of multiple causes of death related to HIV/AIDS in the cities of São Paulo and Santos, Brazil, 2001].
abstract: Following the introduction of highly active antiretroviral therapy (HAART), the HIV-related morbidity-mortality profile has changed. Opportunistic infections are not as prevalent as before, and "pre-AIDS" diseases have become more common, related mostly to the side effects of HAART. This study focused on HIV/AIDS-related mortality, based on multiple causes of death among individuals who died of HIV-related causes in the cities of São Paulo and Santos, Brazil, in 2001. Grade of Membership (GoM) analysis was used. Three mortality profiles were detected: (1) causes of death normally observed before the introduction of HAART, marked by opportunistic infections; (2) causes of death with mixed characteristics, both pre- and post-HAART; and (3) a residual profile, which did not contemplate HIV disease, but incorporated causes of death associated with the pre and post-HAART periods. It is hoped that the current study will contribute to the understanding of the HIV/AIDS morbidity-mortality scenario and help improve the treatment and care provided by public health services.
authors.affiliation: Department of Population Health Sciences, University of Wisconsin Medical School, Madison, WI, USA.
authors.forename: Claudia Cristina de Aguiar
authors.initials: CC
authors.lastname: Pereira
authors.forename: Carla Jorge
authors.initials: CJ
authors.lastname: Machado
authors.forename: Roberto do Nascimento
authors.initials: Rdo N
authors.lastname: Rodrigues
mesh_terms: D017088:AIDS-Related Opportunistic Infections / Q000401:mortality*; D000163:Acquired Immunodeficiency Syndrome / Q000188:drug therapy / Q000401:mortality*; D023241:Antiretroviral Therapy, Highly Active / Q000009:adverse effects*; D001938:Brazil / Q000453:epidemiology; D002423:Cause of Death; D017143:Fuzzy Logic; D006801:Humans; D007256:Information Systems / Q000706:statistics & numerical data; D009017:Morbidity / Q000639:trends; D015999:Multivariate Analysis