title: Trends in systemic lupus erythematosus mortality rates in the state of Sao Paulo, Brazil from 1985 to 2004.
abstract: OBJECTIVE
  To estimate mortality rates and mortality trends from SLE in the state of São Paulo, Brazil.
  
  
  METHODS
  The official data bank was used to study all deaths occurred from 1985 to 2004 in which SLE was mentioned as the underlying cause of death. Besides the overall mortality rate, the annual gender- and age-specific mortality rates were estimated for each calendar year by age bracket (0-19 years, 20-39 years, 40-59 years and over 60 years) and for the sub-periods 1985-1995 (first) and 1996-2004 (second), by decades. Chi-square test was used to compare the mortality rates between the two periods, as well the mortality rates according to educational level considering years of study. Pearson correlation coefficient test was used to analyse mortality trends. The crude rates were adjusted for age by the direct method, using the standard Brazilian population in 2000.
  
  
  RESULTS
  A total of 2,601 deaths (90% female) attributed to SLE were analysed. The mean age at death was significantly higher in the second than in the first sub-period (36.6+/-15.6 years vs. 33.9+/-14.0 years; p<0.001). The overall adjusted mortality rate was 3.8 deaths/million habitants/year for the entire period and 3.4 deaths/million inhabitants/year for the first and 4.0 deaths/million inhabitants/year for the second sub-period (p<0.001). In each calendar year, the mortality rate was significantly lower for the better educated group. Throughout the period, there was a significant increase in mortality rates only among women over 40.
  
  
  CONCLUSIONS
  SLE patients living in the state of São Paulo still die at younger ages than those living in developed countries. Our data do not support the theory that there was an improvement in the SLE mortality rate in the last 20 years in the state of Sao Paulo. Socio-economic factors, such as the difficulty to get medical care and adequate treatment, may be the main factors to explain the worst prognosis for our patients.
authors.affiliation: Universidade Federal de São Paulo, Brazil. dcolucci@hotmail.com
authors.forename: D C C
authors.initials: DC
authors.lastname: Souza
authors.forename: A H
authors.initials: AH
authors.lastname: Santo
authors.forename: E I
authors.initials: EI
authors.lastname: Sato
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001938:Brazil / Q000453:epidemiology; D002648:Child; D002675:Child, Preschool; D005260:Female; D006297:Health Services Accessibility; D006801:Humans; D007223:Infant; D008180:Lupus Erythematosus, Systemic / Q000453:epidemiology* / Q000208:ethnology / Q000401:mortality*; D008297:Male; D008875:Middle Aged; D009026:Mortality / Q000639:trends*; D011379:Prognosis; D012189:Retrospective Studies; D012959:Socioeconomic Factors; D055815:Young Adult