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      Nephrology care prior to end-stage renal disease and outcomes among new ESRD patients in the USA

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          Abstract

          Background

          Longer nephrology care before end-stage renal disease (ESRD) has been linked with better outcomes.

          Methods

          We investigated whether longer pre-end-stage renal disease (ESRD) nephrology care was associated with lower mortality at both the patient and state levels among 443 761 incident ESRD patients identified in the USA between 2006 and 2010.

          Results

          Overall, 33% of new ESRD patients had received no prior nephrology care, while 28% had received care for >12 months. At the patient level, predictors of >12 months of nephrology care included having health insurance, white race, younger age, diabetes, hypertension and US region. Longer pre-ESRD nephrology care was associated with lower first-year mortality (adjusted hazard ratio = 0.58 for >12 months versus no care; 95% confidence interval 0.57–0.59), higher albumin and hemoglobin, choice of peritoneal dialysis and native fistula and discussion of transplantation options. Living in a state with a 10% higher proportion of patients receiving >12 months of pre-ESRD care was associated with a 9.3% lower relative mortality rate, standardized for case mix ( R 2 = 0.47; P < 0.001).

          Conclusions

          This study represents the largest cohort of incident ESRD patients to date. Although we did not follow patients before ESRD onset, our findings, both at the individual patient and state levels, reflect the importance of early nephrology care among those with chronic kidney disease.

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          Most cited references32

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          The Chronic Renal Insufficiency Cohort (CRIC) Study: Design and Methods.

          Insights into end-stage renal disease have emerged from many investigations but less is known about the epidemiology of chronic renal insufficiency (CRI) and its relationship to cardiovascular disease (CVD). The Chronic Renal Insufficiency Cohort (CRIC) Study was established to examine risk factors for progression of CRI and CVD among CRI patients and develop models to identify high-risk subgroups, informing future treatment trials, and increasing application of preventive therapies. CRIC will enroll approximately 3000 individuals at seven sites and follow participants for up to 5 yr. CRIC will include a racially and ethnically diverse group of adults aged 21 to 74 yr with a broad spectrum of renal disease severity, half of whom have diagnosed diabetes mellitus. CRIC will exclude subjects with polycystic kidney disease and those on active immunosuppression for glomerulonephritis. Subjects will undergo extensive clinical evaluation at baseline and at annual clinic visits and via telephone at 6 mo intervals. Data on quality of life, dietary assessment, physical activity, health behaviors, depression, cognitive function, health care resource utilization, as well as blood and urine specimens will be collected annually. (125)I-iothalamate clearances and CVD evaluations including a 12-lead surface electrocardiogram, an echocardiogram, and coronary electron beam or spiral CT will be performed serially. Analyses planned in CRIC will provide important information on potential risk factors for progressive CRI and CVD. Insights from CRIC should lead to the formulation of hypotheses regarding therapy that will serve as the basis for targeted interventional trials focused on reducing the burden of CRI and CVD.
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            Clinical practice guidelines for vascular access.

            (2006)
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              Predictors of early mortality among incident US hemodialysis patients in the Dialysis Outcomes and Practice Patterns Study (DOPPS).

              Mortality risk among hemodialysis (HD) patients may be highest soon after initiation of HD. A period of elevated mortality risk was identified among US incident HD patients, and which patient characteristics predict death during this period and throughout the first year was examined using data from the Dialysis Outcomes and Practice Patterns Study (DOPPS; 1996 through 2004). A retrospective cohort study design was used to identify mortality risk factors. All patient information was collected at enrollment. Life-table analyses and discrete logistic regression were used to identify a period of elevated mortality risk. Cox regression was used to estimate adjusted hazard ratios (HR) measuring associations between patient characteristics and mortality and to examine whether these associations changed during the first year of HD. Among 4802 incident patients, risk for death was elevated during the first 120 d compared with 121 to 365 d (27.5 versus 21.9 deaths per 100 person-years; P = 0.002). Cause-specific mortality rates were higher in the first 120 d than in the subsequent 121 to 365 d for nearly all causes, with the greatest difference being for cardiovascular-related deaths. In addition, 20% of all deaths in the first 120 d occurred subsequent to withdrawal from dialysis. Most covariates were found to have consistent effects during the first year of HD: Older age, catheter vascular access, albumin <3.5, phosphorus <3.5, cancer, and congestive heart failure all were associated with elevated mortality. Pre-ESRD nephrology care was associated with a significantly lower risk for death before 120 d (HR 0.65; 95% confidence interval 0.51 to 0.83) but not in the subsequent 121- to 365-d period (HR 1.03; 95% confidence interval 0.83 to 1.27). This care was related to approximately 50% lower rates of both cardiac deaths and withdrawal from dialysis during the first 120 d. Mortality risk was highest in the first 120 d after HD initiation. Inadequate predialysis nephrology care was strongly associated with mortality during this period, highlighting the potential benefits of contact with a nephrologist at least 1 mo before HD initiation.
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                Author and article information

                Journal
                Clin Kidney J
                Clin Kidney J
                ckj
                ndtplus
                Clinical Kidney Journal
                Oxford University Press
                2048-8505
                2048-8513
                December 2015
                03 November 2015
                03 November 2015
                : 8
                : 6
                : 772-780
                Affiliations
                [1 ]Kidney Epidemiology and Cost Center, University of Michigan , Ann Arbor, MI, USA
                [2 ]Department of Biostatistics, University of Michigan , Ann Arbor, MI, USA
                [3 ]Center for Statistical Consultation and Research, University of Michigan , Ann Arbor, MI, USA
                [4 ]Department of Epidemiology, University of Michigan School of Public Health , Ann Arbor, MI, USA
                [5 ]Department of Environmental Health Sciences, University of Michigan School of Public Health , Ann Arbor, MI, USA
                [6 ]Department of Urology, University of Michigan Medical School , Ann Arbor, MI, USA
                [7 ]EpidStat Institute , Ann Arbor, MI, USA
                [8 ]Department of Internal Medicine, University of Michigan , Ann Arbor, MI, USA
                [9 ]Division of Diabetes Translation, Centers for Disease Control and Prevention , Atlanta, GA, USA
                [10 ]Henry Ford Health System , Detroit, MI, USA
                [11 ]Department of Epidemiology, Emory University , Atlanta, GA, USA
                [12 ]Department of Medicine, San Francisco General Hospital and University of California , San Francisco, CA, USA
                [13 ]Arbor Research Collaborative for Health , Ann Arbor, MI, USA
                Author notes
                Correspondence to: Rajiv Saran; E-mail: rsaran@ 123456umich.edu
                Article
                sfv103
                10.1093/ckj/sfv103
                4655805
                26613038
                78e18437-f7a3-4937-8eff-ffeaf03643f1
                © The Author 2015. Published by Oxford University Press on behalf of ERA-EDTA.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 18 June 2015
                : 22 September 2015
                Categories
                Contents
                CKD Care

                Nephrology
                dialysis,glomerular filtration rate,kidney transplantation,nephrology referral,vascular access

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