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1.
Clin J Am Soc Nephrol ; 6(7): 1676-83, 2011 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-21700820

RESUMO

BACKGROUND AND OBJECTIVES: Although low socioeconomic status has been considered a contraindication to peritoneal dialysis (PD), no published data clearly link it to poor outcomes. The goal of this study was assessing the effect of income on survival in the Brazilian Peritoneal Dialysis Multicenter STUDY. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Incident PD patients enrolled in this prospective cohort from December 2004 to October 2007 were divided according to monthly family income. The median age was 59 years, 54% were women, 60% Caucasians, 41% diabetics, and 24% had cardiovascular disease. Most of them were in continuous ambulatory PD, had not received predialysis care, had <4 school years, and had a family income of <5 minimum wage (80%). Survival analysis was performed using the Kaplan-Meier method and the Cox proportional hazards model adjusting the results for age, gender, educational status, predialysis care, first therapy, PD modality, calendar year, and comorbidities. RESULTS: There were no differences in technique (log rank test χ² = 4.36) and patient (log rank test χ² = 2.92) survival between the groups. In the multivariate analysis, low family income remained not associated either to worse technique survival (hazard ratio [HR] = 1.29; 95% confidence interval [CI] = 0.91 to 1.84) or to patient survival (HR = 1.40; 95% CI = 0.99 to 1.99). CONCLUSIONS: According to these results, economic status is not independently associated with outcomes in this large cohort and should not be considered a barrier for PD indication.


Assuntos
Renda , Falência Renal Crônica/mortalidade , Falência Renal Crônica/terapia , Diálise Peritoneal Ambulatorial Contínua/mortalidade , Diálise Peritoneal/mortalidade , Adulto , Idoso , Idoso de 80 Anos ou mais , Análise de Variância , Brasil/epidemiologia , Distribuição de Qui-Quadrado , Contraindicações , Feminino , Acessibilidade aos Serviços de Saúde/economia , Disparidades em Assistência à Saúde/economia , Humanos , Estimativa de Kaplan-Meier , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Seleção de Pacientes , Modelos de Riscos Proporcionais , Estudos Prospectivos , Medição de Risco , Fatores de Risco , Taxa de Sobrevida , Fatores de Tempo , Resultado do Tratamento
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