OBJECTIVE: To describe the clinical and epidemiological profile of patients under renal replacement therapies, identifying risk factors for death. METHODS: This is a non-concurrent cohort study of data for 90,356 patients in the National Renal Replacement Therapies Database. A deterministic-probabilistic linkage was performed using the Authorization System for High Complexity/Cost Procedures and the Mortality Information System databases. All patients who started dialysis between 1/1/2000 and 12/31/2004 were included and followed until death or the end of 2004. Age, sex, region of residence, primary renal disease and causes of death were analyzed. A proportional hazards model was used to identify factors associated with risk of death. RESULTS: The prevalence of patients under renal replacement therapies increased an average of 5.5%, while incidence remained stable during the period. Hemodialysis was the predominant initial modality (89%). The patients were majority male with mean age 53 years, residents of the Southeast region and presented unknown causes as the main cause of chronic renal disease, followed by hypertension, diabetes and glomerulonephritis. Of these patients, 42% progressed to death and 7% underwent kidney transplantation. The patients on peritoneal dialysis were older and had higher prevalence of diabetes. The death rate varied from 7% among transplanted patients to 45% among non-transplanted patients. In the final Cox proportional hazards model, the risk of mortality was associated with increasing age, female sex, having diabetes, living in the North and Northeast region, peritoneal dialysis as a first modality and not having renal transplantation. CONCLUSIONS: There was an increased prevalence of patients on renal therapy in Brazil. Increased risk of death was associated with advanced age, diabetes, the female sex, residents of the North and Northeast region and lack of renal transplant.
OBJECTIVE: To describe the clinical and epidemiological profile of patients under renal replacement therapies, identifying risk factors for death. METHODS: This is a non-concurrent cohort study of data for 90,356 patients in the National Renal Replacement Therapies Database. A deterministic-probabilistic linkage was performed using the Authorization System for High Complexity/Cost Procedures and the Mortality Information System databases. All patients who started dialysis between 1/1/2000 and 12/31/2004 were included and followed until death or the end of 2004. Age, sex, region of residence, primary renal disease and causes of death were analyzed. A proportional hazards model was used to identify factors associated with risk of death. RESULTS: The prevalence of patients under renal replacement therapies increased an average of 5.5%, while incidence remained stable during the period. Hemodialysis was the predominant initial modality (89%). The patients were majority male with mean age 53 years, residents of the Southeast region and presented unknown causes as the main cause of chronic renal disease, followed by hypertension, diabetes and glomerulonephritis. Of these patients, 42% progressed to death and 7% underwent kidney transplantation. The patients on peritoneal dialysis were older and had higher prevalence of diabetes. The death rate varied from 7% among transplanted patients to 45% among non-transplanted patients. In the final Cox proportional hazards model, the risk of mortality was associated with increasing age, female sex, having diabetes, living in the North and Northeast region, peritoneal dialysis as a first modality and not having renal transplantation. CONCLUSIONS: There was an increased prevalence of patients on renal therapy in Brazil. Increased risk of death was associated with advanced age, diabetes, the female sex, residents of the North and Northeast region and lack of renal transplant.
Authors: Augusto Afonso Guerra Júnior; Grazielle Dias Silva; Eli Iola Gurgel Andrade; Mariângela Leal Cherchiglia; Juliana de Oliveira Costa; Alessandra Maciel Almeida; Francisco de Assis Acurcio Journal: Rev Saude Publica Date: 2015-02-27 Impact factor: 2.106
Authors: Natália T Bellafronte; Marina R Batistuti; Nathália Z Dos Santos; Héric Holland; Elen A Romão; Paula G Chiarello Journal: J Electr Bioimpedance Date: 2018-12-31