Literature DB >> 18930570

Associates of mortality and hospitalization in hemodialysis: potentially actionable laboratory variables and vascular access.

Eduardo Lacson1, Weiling Wang, Raymond M Hakim, Ming Teng, J Michael Lazarus.   

Abstract

BACKGROUND: To determine the most significant potentially actionable clinical variables associated with mortality and hospitalization risk in hemodialysis (HD) patients. STUDY
DESIGN: Cohort study. SETTING & PARTICIPANTS: Adult maintenance HD patients in the Fresenius Medical Care, North America database as of January 1, 2004, with baseline information from October 1, 2003, to December 31, 2003, comprising approximately 26% of the US HD population. PREDICTORS: Case-mix (age, sex, race, diabetes, vintage, and body surface area), vascular access, and laboratory (albumin, equilibrated Kt/V, hemoglobin, calcium, phosphorus, creatinine, bicarbonate, biointact parathyroid hormone, transferrin saturation, and white blood cell count) variables. OUTCOMES: 1-year mortality and hospitalization risk from January 1 to December 31, 2004. MEASUREMENTS: Cox proportional hazards models for death and hospitalization.
RESULTS: The cohort (N = 78,420) had a mean age of 61.4 +/- 15.0 years, 47% were women, 49% were white, 41% were black race (10% defined as "other"), and 52% had diabetes. The top 5 actionable variables were the same for mortality and hospitalization. Final case-mix plus laboratory-adjusted hazard ratios for these top 5 actionable variables indicate 177% increased risk of death and 67% increased risk of hospitalization per 1-g/dL decrease in albumin level, 39% and 45% greater risk with catheters compared with fistulas, 18% and 9% greater risk per 1-mg/dL greater phosphorus level, 11% and 9% lower risk per 1-g/dL greater hemoglobin level, and 5% and 2% greater risk per 0.1-unit decrease in equilibrated Kt/V, respectively (all P < 0.0001). LIMITATIONS: Observational cross-sectional study with limited comorbidity adjustment (for diabetes).
CONCLUSION: The same variables are associated with both mortality and hospitalization in HD patients. The top 5 potentially actionable variables are readily identifiable, with albumin level and catheter use the most prominent, and all 5 are appropriate targets for improvement.

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Year:  2008        PMID: 18930570     DOI: 10.1053/j.ajkd.2008.07.031

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  46 in total

1.  Hemodialysis vascular access modifies the association between dialysis modality and survival.

Authors:  Jeffrey Perl; Ron Wald; Philip McFarlane; Joanne M Bargman; Edward Vonesh; Yingbo Na; S Vanita Jassal; Louise Moist
Journal:  J Am Soc Nephrol       Date:  2011-04-21       Impact factor: 10.121

2.  Survival with three-times weekly in-center nocturnal versus conventional hemodialysis.

Authors:  Eduardo Lacson; Jianglin Xu; Rita S Suri; Gihad Nesrallah; Robert Lindsay; Amit X Garg; Keith Lester; Norma Ofsthun; Michael Lazarus; Raymond M Hakim
Journal:  J Am Soc Nephrol       Date:  2012-02-23       Impact factor: 10.121

3.  Modeling the 4D Study: statins and cardiovascular outcomes in long-term hemodialysis patients with diabetes.

Authors:  Kevin E Chan; Ravi Thadhani; J Michael Lazarus; Raymond M Hakim
Journal:  Clin J Am Soc Nephrol       Date:  2010-03-25       Impact factor: 8.237

4.  Vascular access choice in incident hemodialysis patients: a decision analysis.

Authors:  David A Drew; Charmaine E Lok; Joshua T Cohen; Martin Wagner; Navdeep Tangri; Daniel E Weiner
Journal:  J Am Soc Nephrol       Date:  2014-07-25       Impact factor: 10.121

Review 5.  A practical review of the use of stents for the maintenance of hemodialysis access.

Authors:  Michael Ginsburg; Jonathan M Lorenz; Sean P Zivin; Steven Zangan; Don Martinez
Journal:  Semin Intervent Radiol       Date:  2015-06       Impact factor: 1.513

6.  Effect of Age on the Association of Vascular Access Type with Mortality in a Cohort of Incident End-Stage Renal Disease Patients.

Authors:  Tarek Saleh; Keiichi Sumida; Miklos Z Molnar; Praveen K Potukuchi; Fridtjof Thomas; Jun Ling Lu; Geeta G Gyamlani; Elani Streja; Kamyar Kalantar-Zadeh; Csaba P Kovesdy
Journal:  Nephron       Date:  2017-05-18       Impact factor: 2.847

7.  Guiding principles and checklist for population-based quality metrics.

Authors:  Mahesh Krishnan; Steven M Brunelli; Franklin W Maddux; Thomas F Parker; Douglas Johnson; Allen R Nissenson; Allan Collins; Eduardo Lacson
Journal:  Clin J Am Soc Nephrol       Date:  2014-02-20       Impact factor: 8.237

8.  Cost analysis of hemodialysis and peritoneal dialysis access in incident dialysis patients.

Authors:  Luis A Coentrão; Carla S Araújo; Carlos A Ribeiro; Claúdia C Dias; Manuel J Pestana
Journal:  Perit Dial Int       Date:  2013-03-01       Impact factor: 1.756

9.  Outcomes associated with in-center nocturnal hemodialysis from a large multicenter program.

Authors:  Eduardo Lacson; Weiling Wang; Keith Lester; Norma Ofsthun; J Michael Lazarus; Raymond M Hakim
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-03       Impact factor: 8.237

10.  Hemodialysis quality metrics and patient-reported ability to work.

Authors:  Nancy G Kutner; Rebecca Zhang
Journal:  Hemodial Int       Date:  2018-01       Impact factor: 1.812

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