Literature DB >> 17699392

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

Brian D Bradbury1, Rachel B Fissell, Justin M Albert, Mary S Anthony, Cathy W Critchlow, Ronald L Pisoni, Friedrich K Port, Brenda W Gillespie.   

Abstract

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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Year:  2006        PMID: 17699392     DOI: 10.2215/CJN.01170905

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  155 in total

1.  Meeting KDOQI guideline goals at hemodialysis initiation and survival during the first year.

Authors:  Yelena Slinin; Haifeng Guo; David T Gilbertson; Lih-Wen Mau; Kristine Ensrud; Thomas Rector; Allan J Collins; Areef Ishani
Journal:  Clin J Am Soc Nephrol       Date:  2010-06-10       Impact factor: 8.237

2.  Modifiable practices associated with sudden death among hemodialysis patients in the Dialysis Outcomes and Practice Patterns Study.

Authors:  Michel Jadoul; Jyothi Thumma; Douglas S Fuller; Francesca Tentori; Yun Li; Hal Morgenstern; David Mendelssohn; Tadashi Tomo; Jean Ethier; Friedrich Port; Bruce M Robinson
Journal:  Clin J Am Soc Nephrol       Date:  2012-03-08       Impact factor: 8.237

3.  Should erythropoiesis-stimulating agents be used in predialysis patients?

Authors:  Rene Breault
Journal:  Can J Hosp Pharm       Date:  2011-03

4.  Early outcomes among those initiating chronic dialysis in the United States.

Authors:  Kevin E Chan; Frank W Maddux; Nina Tolkoff-Rubin; S Ananth Karumanchi; Ravi Thadhani; Raymond M Hakim
Journal:  Clin J Am Soc Nephrol       Date:  2011-09-29       Impact factor: 8.237

5.  Bioimpedance analysis versus lung ultrasonography for optimal risk prediction in hemodialysis patients.

Authors:  Dimitrie Siriopol; Luminita Voroneanu; Simona Hogas; Mugurel Apetrii; Angelica Gramaticu; Raluca Dumea; Alexandru Burlacu; Radu Sascau; Mehmet Kanbay; Adrian Covic
Journal:  Int J Cardiovasc Imaging       Date:  2015-10-01       Impact factor: 2.357

6.  Initiation of dialysis: Trigger or cause of cardiovascular events?

Authors:  Wojciech Zareba
Journal:  Kidney Int       Date:  2015-11       Impact factor: 10.612

7.  Choice of vascular access among incident hemodialysis patients: a decision and cost-utility analysis.

Authors:  Hui Xue; Eduardo Lacson; Weiling Wang; Gary C Curhan; Steven M Brunelli
Journal:  Clin J Am Soc Nephrol       Date:  2010-09-28       Impact factor: 8.237

8.  Recommendations for a clinical decision support for the management of individuals with chronic kidney disease.

Authors:  Meenal B Patwardhan; Kensaku Kawamoto; David Lobach; Uptal D Patel; David B Matchar
Journal:  Clin J Am Soc Nephrol       Date:  2009-01-28       Impact factor: 8.237

9.  Predicting hemodialysis mortality utilizing blood pressure trends.

Authors:  Ronilda Lacson
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

10.  Predicting six-month mortality for patients who are on maintenance hemodialysis.

Authors:  Lewis M Cohen; Robin Ruthazer; Alvin H Moss; Michael J Germain
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-03       Impact factor: 8.237

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