Literature DB >> 16997057

The epidemiology of systolic blood pressure and death risk in hemodialysis patients.

Zhensheng Li1, Eduardo Lacson, Edmund G Lowrie, Norma J Ofsthun, Martin K Kuhlmann, J Michael Lazarus, Nathan W Levin.   

Abstract

BACKGROUND: This study compares the associations of predialysis systolic blood pressure (SBP) with mortality risk in both incident and prevalent hemodialysis (HD) cohorts by using both conventional and time-varying Cox analyses, thus addressing limitations of prior studies.
METHODS: A total of 56,338 incident patients starting HD therapy during 1997 to 2001 and 69,590 prevalent HD patients on January 1, 2002, were grouped into the following categories: (1) SBP less than 120 mm Hg, (2) 120 < or = SBP < 140 mm Hg, (3) 140 < or = SBP < 160 mm Hg, (4) 160 < or = SBP < 180 mm Hg, (5) 180 < or = SBP < 200 mm Hg, and (6) SBP of 200 mm Hg or greater. Conventional and time-varying models evaluated 1-year and 3-year (incident patients only) survival.
RESULTS: Nine percent and 26.0% of incident patients and 5.7% and 20.1% of prevalent patients were in categories 1 and 2, respectively. Their associated 1-year hazard ratios (HRs) were 2.63 to 3.68 and 1.57 to 1.68 compared with category 4, the reference group. HRs for categories 3, 5, and 6 were not different from category 4. Time-varying models magnified category 1 and 2 HRs to 5.54 to 7.42 and 1.92 to 2.21, such that 25% to 35% of patients in the target SBP range (< 140 mm Hg) had the greatest risk. A "reversed J-shaped" risk profile emerged in the time-varying models, with very high SBP (category 6) associated with HRs of 1.52 to 1.55, but only 1% of patients were in category 6. Three-year outcomes were similar.
CONCLUSION: Epidemiological characteristics of predialysis SBP consistently differ from those in the general population despite different analytic perspectives. The data suggest a need for greater investigative, diagnostic, and therapeutic focus on HD patients with normal and prehypertensive blood pressure ranges.

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Year:  2006        PMID: 16997057     DOI: 10.1053/j.ajkd.2006.07.005

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


  78 in total

1.  Blood pressure and survival in long-term hemodialysis patients with and without polycystic kidney disease.

Authors:  Miklos Z Molnar; Lilia R Lukowsky; Elani Streja; Ramanath Dukkipati; Jennie Jing; Allen R Nissenson; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  J Hypertens       Date:  2010-12       Impact factor: 4.844

Review 2.  Dry-weight: a concept revisited in an effort to avoid medication-directed approaches for blood pressure control in hemodialysis patients.

Authors:  Rajiv Agarwal; Matthew R Weir
Journal:  Clin J Am Soc Nephrol       Date:  2010-05-27       Impact factor: 8.237

3.  Importance of whole-body bioimpedance spectroscopy for the management of fluid balance.

Authors:  Peter Wabel; Paul Chamney; Ulrich Moissl; Tomas Jirka
Journal:  Blood Purif       Date:  2009-01-23       Impact factor: 2.614

4.  The effects of cinacalcet on blood pressure, mortality and cardiovascular endpoints in the EVOLVE trial.

Authors:  T I Chang; S Abdalla; G M London; G A Block; R Correa-Rotter; T B Drüeke; J Floege; C A Herzog; K W Mahaffey; S M Moe; P S Parfrey; D C Wheeler; B Dehmel; W G Goodman; G M Chertow
Journal:  J Hum Hypertens       Date:  2015-06-04       Impact factor: 3.012

5.  Blood Pressure and Incident Atrial Fibrillation in Older Patients Initiating Hemodialysis.

Authors:  Tara I-Hsin Chang; Sai Liu; Medha Airy; Jingbo Niu; Mintu P Turakhia; Jennifer E Flythe; Maria E Montez-Rath; Wolfgang C Winkelmayer
Journal:  Clin J Am Soc Nephrol       Date:  2019-06-07       Impact factor: 8.237

6.  Intradialytic hypertension and the association with interdialytic ambulatory blood pressure.

Authors:  Peter N Van Buren; Catherine Kim; Robert Toto; Jula K Inrig
Journal:  Clin J Am Soc Nephrol       Date:  2011-07       Impact factor: 8.237

Review 7.  Blood Pressure and Mortality in Long-Term Hemodialysis-Time to Move Forward.

Authors:  Panagiotis I Georgianos; Rajiv Agarwal
Journal:  Am J Hypertens       Date:  2017-03-01       Impact factor: 2.689

8.  Predicting hemodialysis mortality utilizing blood pressure trends.

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

9.  Blood pressure and mortality among hemodialysis patients.

Authors:  Rajiv Agarwal
Journal:  Hypertension       Date:  2010-01-18       Impact factor: 10.190

10.  Baseline characteristics of an incident haemodialysis population in Spain: results from ANSWER--a multicentre, prospective, observational cohort study.

Authors:  Rafael Pérez-García; Alejandro Martín-Malo; Joan Fort; Xavier Cuevas; Fina Lladós; Javier Lozano; Fernando García
Journal:  Nephrol Dial Transplant       Date:  2008-11-21       Impact factor: 5.992

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