Influence of immunopreventable diseases and AIDS on the demand of an infectious diseases department in Rio de Janeiro State, Brazil, in the course of thirty years (1965-1994)

Rev Inst Med Trop Sao Paulo. 1998 May-Jun;40(3):185-92. doi: 10.1590/s0036-46651998000300010.

Abstract

Brazil's nosologic profile has been sustaining profound modifications. Some occurred because of massive immunization campaigns and socioeconomic and demographic trends. Some yet were pure nosologic transitions, such as the emergence of AIDS. In this demand study it is described how these changes reflected on the 8,630 admission of an Infectious Diseases Department in Niterói, along a thirty year period. Brazilian rural endemic diseases were infrequent (3.45%). Men predominated (62%) all the time, in all age strata and in nearly all diseases. Children under fifteen predominated until 1983. There was, in the case of tetanus, a striking rise in age strata. Institutional mortality dropped from 31% in 1965 to 10% in 1984, but rose since then to 15% in 1994. However, if AIDS patients had not been computed, mortality would have kept descending till 8% at the end of the study period. The crescent unimportance of immunopreventable diseases paralleled with the growing prominence of AIDS. In less than a decade, AIDS ranked fifth among the most frequent diseases in the whole period of thirty years. As opposed to the immunopreventable diseases, neither meningitides nor pneumonia appear to be in decline. AIDS, by its exponential incidence, by its chronic character, and by the uncountable opportunistic infections it determines, imposes itself as a challenge for the coming years.

MeSH terms

  • Acquired Immunodeficiency Syndrome / mortality
  • Acquired Immunodeficiency Syndrome / prevention & control*
  • Adult
  • Brazil
  • Child
  • Communicable Disease Control / trends*
  • Communicable Diseases / mortality
  • Health Services Needs and Demand / statistics & numerical data*
  • Humans
  • Immunization Programs / trends
  • Patient Admission / statistics & numerical data
  • Sex Distribution
  • Time Factors