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“The goal of the Dialysis Outcomes in Colombia ( DOC) study was to compare the survival of patients on hemodialysis ( HD) vs peritoneal dialysis ( PD) in a network
of renal units in Colombia. The DOC study examined a historical cohort of incident patients starting dialysis therapy between 1 January 2001 and 1 December 2003 and followed until 1 December 2005, measuring demographic, socioeconomic, learn more and clinical variables. Only patients older than 18 years were included. As-treated and intention-to-treat statistical analyses were performed using the Kaplan-Meier method and Cox proportional hazard model. There were 1094 eligible patients in total and 923 were actually enrolled: 47.3% started HD therapy and 52.7% started PD therapy. Of the patients studied, 751 ( 81.3%) remained in their initial therapy until the end of the follow-up period, death, or censorship. Age, sex, weight, height, body mass index, creatinine, calcium, and Subjective Global Assessment ( SGA) variables Bromosporine cost did not show statistically significant
differences between the two treatment groups. Diabetes, socioeconomic level, educational level, phosphorus, Charlson Co-morbidity Index, and cardiovascular history did show a difference, and were less favorable for patients on PD. Residual renal function was greater for PD patients. Also, there were differences in the median survival time between groups: 27.2 months for PD vs 23.1 months for HD ( P = 0.001) by the intention-to-treat approach; and 24.5 months for PD vs 16.7 months for HD ( P<0.001) by the as-treated approach. When
performing univariate Cox analyses using the intention-to-treat approach, associations were with age >= 65 years ( hazard ratio ( HR) = 2.21; confidence interval ( CI) 95% ( 1.77-2.755); P<0.001); history of cardiovascular disease ( HR = 1.96; CI 95% ( 1.58-2.90); P<0.001); diabetes ( HR = 2.34; CI 95% ( 1.88-2.90); P<0.001); and SGA ( mild or moderate-severe malnutrition) ( HR = 1.47; CI 95% ( 1.17-1.79); P = 0.001); but no association was found with gender ( HR = 1.03, CI 95% 0.83-1.27; P = 0.786). Similar results were found with the as-treated approach, with additional DOK2 associations found with Charlson Index ( 0 – 2) ( HR= 0.29; CI 95% ( 0.22 – 0.38); P<0.001); Charlson Index ( 3 – 4) ( HR= 0.61; CI 95% ( 0.48 – 0.79); P<0.001); and SGA ( mild-severe malnutrition) ( HR= 1.43; CI 95% ( 1.15 – 1.77); P<0.001). Similarly, the multivariate Cox model was run with the variables that had shown association in previous analyses, and it was found that the variables explaining the survival of patients with end-stage renal disease in our study were age, SGA, Charlson Comorbidity Index 5 and above, diabetes, healthcare regimes I and II, and socioeconomic level 2.