Literature DB >> 32049326

Eosinophil count and mortality risk in incident hemodialysis patients.

Duk-Hee Kang1,2, Yuji Lee1,3, Carola Ellen Kleine1, Yong Kyu Lee1,4, Christina Park1, Jui-Ting Hsiung1, Connie M Rhee1, Csaba P Kovesdy5,6, Kamyar Kalantar-Zadeh1,7, Elani Streja1,7.   

Abstract

BACKGROUND: Eosinophils are traditionally known as moderators of allergic reactions; however, they have now emerged as one of the principal immune-regulating cells as well as predictors of vascular disease and mortality in the general population. Although eosinophilia has been demonstrated in hemodialysis (HD) patients, associations of eosinophil count (EOC) and its changes with mortality in HD patients are still unknown.
METHODS: In 107 506 incident HD patients treated by a large dialysis organization during 2007-11, we examined the relationships of baseline and time-varying EOC and its changes (ΔEOC) over the first 3 months with all-cause mortality using Cox proportional hazards models with three levels of hierarchical adjustment.
RESULTS: Baseline median EOC was 231 (interquartile range 155-339) cells/μL and eosinophilia (>350 cells/μL) was observed in 23.4% of patients. There was a gradual increase in EOC over time after HD initiation with a median ΔEOC of 5.1 (IQR -53-199) cells/μL, which did not parallel the changes in white blood cell count. In fully adjusted models, mortality risk was highest in subjects with lower baseline and time-varying EOC (<100 cells/μL) and was also slightly higher in patients with higher levels (≥550 cells/μL), resulting in a reverse J-shaped relationship. The relationship of ΔEOC with all-cause mortality risk was also a reverse J-shape where both an increase and decrease exhibited a higher mortality risk.
CONCLUSIONS: Both lower and higher EOCs and changes in EOC over the first 3 months after HD initiation were associated with higher all-cause mortality in incident HD patients. Published by Oxford University Press on behalf of ERA-EDTA 2020. This work is written by US Government employees and is in the public domain in the US.

Entities:  

Keywords:  eosinophil; hemodialysis; mortality

Year:  2020        PMID: 32049326      PMCID: PMC7282827          DOI: 10.1093/ndt/gfz296

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  31 in total

1.  Survival analysis: time-dependent effects and time-varying risk factors.

Authors:  Friedo W Dekker; Renée de Mutsert; Paul C van Dijk; Carmine Zoccali; Kitty J Jager
Journal:  Kidney Int       Date:  2008-07-16       Impact factor: 10.612

2.  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

3.  The prevalence and meaning of eosinophilia in renal diseases on a nephrology consultation service.

Authors:  Charles J Diskin; Thomas J Stokes; Linda M Dansby; Lautrec Radcliff; Thomas B Carter
Journal:  Nephrol Dial Transplant       Date:  2011-01-14       Impact factor: 5.992

4.  Clinical testing of a new, low-flux polysulfone membrane. Results of a 26-week study.

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Journal:  Blood Purif       Date:  1989       Impact factor: 2.614

5.  Eosinophilia is associated with increased all-cause mortality after a follow-up of 30 years in a general population sample.

Authors:  J J Hospers; J P Schouten; S T Weiss; D S Postma; B Rijcken
Journal:  Epidemiology       Date:  2000-05       Impact factor: 4.822

6.  Eosinophilia in maintenance hemodialysis patients.

Authors:  W E Hoy; R V Cestero
Journal:  J Dial       Date:  1979

7.  Increased prevalence of eosinophilia in a hemodialysis population: Longitudinal and case control studies.

Authors:  Sarah Hildebrand; Richard Corbett; Neill Duncan; Damien Ashby
Journal:  Hemodial Int       Date:  2016-01-07       Impact factor: 1.812

8.  Eosinophilia and cellular cytokine responsiveness in hemodialysis patients.

Authors:  J Hertel; P L Kimmel; T M Phillips; J P Bosch
Journal:  J Am Soc Nephrol       Date:  1992-12       Impact factor: 10.121

9.  Hepatitis C virus screening and clinical monitoring of biomarkers in patients undergoing hemodialysis.

Authors:  Laura Patrícia Viana Maia; Olindo Assis Martins-Filho; Andréa Teixeira-Carvalho; Elaine Speziali; Rolandro Vermhren; Edson Fonseca Lira; Tatiane Amabile Lima; Wornei Silva Braga; Kátia Luz Torres; Adriana Malheiro
Journal:  J Med Virol       Date:  2009-07       Impact factor: 2.327

10.  Eosinophils are key regulators of perivascular adipose tissue and vascular functionality.

Authors:  Sarah B Withers; Ruth Forman; Selene Meza-Perez; Daniel Sorobetea; Kasia Sitnik; Thomas Hopwood; Catherine B Lawrence; William W Agace; Kathryn J Else; Anthony M Heagerty; Marcus Svensson-Frej; Sheena M Cruickshank
Journal:  Sci Rep       Date:  2017-03-17       Impact factor: 4.379

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