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      Survival and time-to-transplantation of peritoneal dialysis versus hemodialysis for end-stage renal disease patients: competing-risks regression model in a single Italian center experience

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          Abstract

          Aims

          Despite several studies reporting similar outcomes for peritoneal dialysis (PD) and hemodialysis (HD), the former is underused worldwide, with a PD prevalence of 15% in Italy. In 2008, the Unit of Nephrology and Dialysis of the Healthcare Trust of the Autonomous Province of Trento implemented a successful PD program which has increased the proportion of PD incident patients from 7 to 47%. We aimed to assess the effect of this extensive use of PD by comparing HD and PD in terms of survival and time-to-transplantation.

          Methods

          A total of 334 HD and 153 PD incident patients were enrolled between January 2008 and December 2014. After screening for exclusion criteria and propensity score matching, 279 HD and 132 PD patients were analyzed. Survival and time-to-transplantation were assessed by competing-risks regression models, using death and transplantation as primary and competing events.

          Results

          Crude and adjusted regression models for survival revealed the absence of significant differences between HD and PD cumulative incidence functions (subhazard ratio: 1.09, p = 0.62 and 1.34, p = 0.10, respectively). Differently, crude and adjusted regression models for transplantation revealed a lower time-to-transplantation for PD versus HD patients (subhazard ratio: 2.34, p < 0.01, and 2.57, p < 0.01, respectively). The waiting time for placement in the transplant waiting list was longer in HD than PD patients (330 vs. 224 days, p < 0.01).

          Conclusions

          The extensive use of PD did not lead to any statistically significant difference in mortality. Furthermore, PD was associated with lower time to transplantation. PD may be a viable option for large-scale dialytic treatment in the advanced chronic kidney disease population.

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          Most cited references19

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          Reverse epidemiology of hypertension and cardiovascular death in the hemodialysis population: the 58th annual fall conference and scientific sessions.

          Maintenance hemodialysis patients in the United States have a high prevalence (approximately 80%) of systolic hypertension and a high mortality (approximately 20% per year). Some reports indicate a paradoxical association between hypertension and mortality in hemodialysis patients (ie, a normal to low blood pressure is associated with poor outcome), whereas high pressure confers survival advantages, a phenomenon referred to as "reverse epidemiology." We hypothesized that malnutrition-inflammation complex syndrome may be a cause of this paradoxical association. We studied a 15-month cohort of 40 933 hemodialysis patients in the United States whose predialysis and postdialysis blood pressure values were recorded routinely during each hemodialysis treatment. Patients were 59.8+/-15.3 years old; 54% were women and 46% diabetics. Cox proportional hazard models were used for blood pressure categories (systolic or =190 mm Hg; diastolic or =110; and increments of 10 mm Hg in between). Unadjusted, case-mix and dialysis dose-adjusted, and additional malnutrition-inflammation-adjusted hazard ratios of all-cause and cardiovascular death showed progressively increasing all-cause and cardiovascular death risk for decreasing blood pressure values. The lowest mortality was associated with predialysis systolic pressure of 160 to 189 mm Hg, whereas normal to low predialysis pressure values were associated with significantly increased mortality. Adjustment for the malnutrition-inflammation mitigated only a small portion of paradoxical associations between the low blood pressure and mortality. Predialysis systolic hypertension remained a significant predictor of highest all-cause and cardiovascular survival rate. Although these associations may not be causal, they call into question whether treatment goals for the general population can be applied to dialysis patients or other similar populations.
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            Dialysis Modality and Mortality in the Elderly: A Meta-Analysis.

            Identifying the appropriate choice between hemodialysis (HD) and peritoneal dialysis (PD) is an unresolved issue in elderly patients with ESRD, who are at high risk for death but have a low chance of receiving kidney transplantation.
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              Association of dialysis modality and cardiovascular mortality in incident dialysis patients.

              The aim of the investigation presented here was to compare the rates, causes, and timing of cardiovascular (CV) death in incident peritoneal dialysis (PD) and hemodialysis (HD) patients. The study included all adult Australian and New Zealand patients commencing dialysis between January 1, 1997 and December 31, 2007. Rates of and times to CV death were compared by incident rate ratios, cumulative incidence, and multivariable Cox proportional hazards model analyses. Dialysis modality was included in the model as a time-varying covariate, and a competing risks approach was used to obtain cause-specific hazard ratios. Of the 24,587 patients who commenced dialysis (first treatment PD n = 6521; HD n = 18,066) during the study, 5669 (21%) died from CV causes [PD 2044 (28%) versus HD 3625 (21%)]. The incidence rates of CV mortality in PD and HD patients were 9.99 and 7.96 per 100 patient-years, respectively (incidence rate ratio PD versus HD, 1.25; 95% confidence interval 1.12 to 1.32). PD was consistently associated with an increased hazard of CV death compared with HD after 1 yr of treatment. This increased risk in PD patients was largely accounted for by an increased risk of death due to myocardial infarction. Dialysis modality is significantly associated with the risk, causes, and timing of CV death experienced by ESRD patients in Australia and New Zealand.
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                Author and article information

                Contributors
                +39 0461 314664 , mrigoni@fbk.eu
                Journal
                J Nephrol
                J. Nephrol
                Journal of Nephrology
                Springer International Publishing (Cham )
                1121-8428
                1724-6059
                29 November 2016
                29 November 2016
                2017
                : 30
                : 3
                : 441-447
                Affiliations
                [1 ]ISNI 0000 0000 9780 0901, GRID grid.11469.3b, Innovazione e Ricerca Clinica in Sanità – IRCS, , Fondazione Bruno Kessler, ; Via Sommarive, 18, 38123 Trento, Italy
                [2 ]GRID grid.425665.6, Dipartimento Salute e Solidarietà Sociale, , Provincia Autonoma di Trento, ; Trento, Italy
                [3 ]ISNI 0000 0004 1937 0351, GRID grid.11696.39, Biotech, Dipartimento di Ingegneria Industriale, , Università di Trento, ; Trento, Italy
                [4 ]U.O. Nefrologia, APSS Trento, Trento, Italy
                [5 ]Direzione Sanitaria APSS Trento, Trento, Italy
                Author information
                http://orcid.org/0000-0002-0530-9491
                Article
                366
                10.1007/s40620-016-0366-6
                5437127
                27900718
                71e8a48c-9873-4271-8fd0-3ba4adcdbfb1
                © The Author(s) 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 21 July 2016
                : 18 November 2016
                Categories
                Original Article
                Custom metadata
                © Italian Society of Nephrology 2017

                dialysis survival,hemodialysis,advanced chronic kidney disease,kidney transplantation,peritoneal dialysis,competing-risks model

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