Literature DB >> 31487713

Intra-Dialytic Hemoglobin Changes and Cardiovascular Events: A Cohort Study on Dialysis Outcomes and Practice Patterns in Japan.

Takashi Hara1,2, Miho Kimachi1, Tatsuyoshi Ikenoue3, Tadao Akizawa4, Shunichi Fukuhara1,5, Yosuke Yamamoto6.   

Abstract

BACKGROUND: Ultrafiltration during hemodialysis (HD) causes hemoconcentration. Little is known about the relationships between intra-dialytic changes in hemoglobin concentration and cardiovascular events. Thus, this study aimed to elucidate the relationships between intra-dialytic changes in hemoglobin concentration and cardiovascular events among HD patients.
METHODS: This prospective cohort study was based on the Japanese Dialysis Outcomes and Practice Pattern Study phases 4 and 5. The predictor was the ratio of post-dialysis hemoglobin concentration to pre-dialysis hemoglobin concentration (post-Hb/pre-Hb) at baseline. The primary outcome was major adverse cardiovascular events (MACEs). Hazard ratios (HRs) were estimated using a Cox model for the association between post-Hb/pre-Hb and MACEs, adjusting for potential confounders.
RESULTS: A total of 865 patients were enrolled. During a median follow-up of 2.6 years, 145 (16.8%) patients developed MACEs. Patients were divided into 4 categories according to baseline post-Hb/pre-Hb (<1.0, ≥1.0 to <1.1, ≥1.1 to <1.2, and ≥1.2). The multivariable-adjusted HRs for MACEs were 1.69 (95% CI 1.36-2.10), 1.29 (95% CI 1.10-1.51), and 1.31 (95% CI 1.02-1.68) in patients with post-Hb/pre-Hb ratios of <1.0, ≥1.0 to <1.1, and ≥1.2, respectively, compared with the reference post-Hb/pre-Hb ratio of ≥1.1 to <1.2. Cubic spline analyses revealed a U-shaped association between post-Hb/pre-Hb and MACEs.
CONCLUSION: High and low intra-dialytic changes in hemoglobin concentration are associated with a high risk of MACEs in patients undergoing HD.
© 2019 The Author(s) Published by S. Karger AG, Basel.

Entities:  

Keywords:  Cardiovascular events; Hemodialysis; Hemoglobin; Plasma refilling; Ultrafiltration

Mesh:

Substances:

Year:  2019        PMID: 31487713      PMCID: PMC6878736          DOI: 10.1159/000502633

Source DB:  PubMed          Journal:  Am J Nephrol        ISSN: 0250-8095            Impact factor:   3.754


  28 in total

Review 1.  Assessment of dry weight in hemodialysis: an overview.

Authors:  J Q Jaeger; R L Mehta
Journal:  J Am Soc Nephrol       Date:  1999-02       Impact factor: 10.121

2.  Can chronic volume overload be recognized and prevented in hemodialysis patients? The pitfalls of the clinical examination in assessing volume status.

Authors:  Arjun D Sinha; Rajiv Agarwal
Journal:  Semin Dial       Date:  2009-09-09       Impact factor: 3.455

3.  Residual Kidney Function Decline and Mortality in Incident Hemodialysis Patients.

Authors:  Yoshitsugu Obi; Connie M Rhee; Anna T Mathew; Gaurang Shah; Elani Streja; Steven M Brunelli; Csaba P Kovesdy; Rajnish Mehrotra; Kamyar Kalantar-Zadeh
Journal:  J Am Soc Nephrol       Date:  2016-05-11       Impact factor: 10.121

Review 4.  Microvascular fluid exchange and the revised Starling principle.

Authors:  J Rodney Levick; C Charles Michel
Journal:  Cardiovasc Res       Date:  2010-03-03       Impact factor: 10.787

5.  Hemodialysis for chronic renal failure. Clinical observations.

Authors:  G E Thomson; K Waterhouse; H P McDonald; E A Friedman
Journal:  Arch Intern Med       Date:  1967-08

6.  Longer treatment time and slower ultrafiltration in hemodialysis: associations with reduced mortality in the DOPPS.

Authors:  R Saran; J L Bragg-Gresham; N W Levin; Z J Twardowski; V Wizemann; A Saito; N Kimata; B W Gillespie; C Combe; J Bommer; T Akiba; D L Mapes; E W Young; F K Port
Journal:  Kidney Int       Date:  2006-04       Impact factor: 10.612

7.  The Dialysis Outcomes and Practice Patterns Study (DOPPS): design, data elements, and methodology.

Authors:  Ronald L Pisoni; Brenda W Gillespie; David M Dickinson; Kenneth Chen; Michael H Kutner; Robert A Wolfe
Journal:  Am J Kidney Dis       Date:  2004-11       Impact factor: 8.860

8.  Ultrafiltration Rate and Mortality in Maintenance Hemodialysis Patients.

Authors:  Magdalene M Assimon; Julia B Wenger; Lily Wang; Jennifer E Flythe
Journal:  Am J Kidney Dis       Date:  2016-08-26       Impact factor: 8.860

9.  Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization.

Authors:  Alan S Go; Glenn M Chertow; Dongjie Fan; Charles E McCulloch; Chi-yuan Hsu
Journal:  N Engl J Med       Date:  2004-09-23       Impact factor: 91.245

10.  Nonadherence in hemodialysis: associations with mortality, hospitalization, and practice patterns in the DOPPS.

Authors:  Rajiv Saran; Jennifer L Bragg-Gresham; Hugh C Rayner; David A Goodkin; Marcia L Keen; Paul C Van Dijk; Kiyoshi Kurokawa; Luis Piera; Akira Saito; Shunichi Fukuhara; Eric W Young; Philip J Held; Friedrich K Port
Journal:  Kidney Int       Date:  2003-07       Impact factor: 10.612

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