Literature DB >> 29593859

A threshold trajectory was revealed by isolating the effects of hemoglobin rate of rise in anemia of chronic kidney disease.

Gregory Fusco1, Ali Hariri2, Carlos Vallarino3, Ajay Singh4, Peter Yu3, Lesley Wise5.   

Abstract

BACKGROUND: To assess cardiovascular risk among various hemoglobin (Hb) rates of rise (RoR) in chronic kidney disease (CKD) patients with anemia who have initiated therapy with erythropoiesis stimulating agents (ESAs).
METHODS: Observational cohort of CKD patients initiating ESA therapy from the Centricity® database, 1990-2011. Proportional hazards models tested the hypothesis that a slower Hb RoR (0 < g/dl/month ⩽ 0.125) is associated with a lower cardiovascular (CV) incidence [composite of fatal/nonfatal myocardial infarction (MI) and stroke] compared with faster RoR (0.125 < g/dl/month ⩽ 2.0, and >2.0 g/dl/month).
RESULTS: A total of 9220 patients receiving ESAs were followed for an average of 3.1 years. Slow (group B) RoR versus medium (group C') and fast (group D') RoR in Hb, throughout all Hb milestones, was associated with lower risk of the composite endpoint [B (slow) versus D' (fast) [hazard ratio (HR) = 0.20 (0.11, 0.39), p < 0.0001]; B versus C' (medium) [HR = 0.34 (0.19, 0.62), p = 0.0004], and C' versus D' [HR = 0.60 (0.42, 0.85), p = 0.005]]. Within achieved Hb milestones, HRs were: B versus D' at milestone ⩾ 14.1 g/dl [HR = 0.17 (0.05, 0.56); p = 0.004] and at milestone 12.6-14.0 [HR = 0.18 (0.07, 0.46), p = 0.0004].
CONCLUSION: Rapid Hb rise is associated with adverse CV outcomes, with markedly lower risk for rates below a threshold trajectory of 0.125 g/dl/month, even with complete correction.

Entities:  

Keywords:  chronic kidney disease anemia; erythropoiesis stimulating agents; hemoglobin rate of rise; hemoglobin reconstitution; hyporesponsiveness; management of; threshold trajectory

Year:  2017        PMID: 29593859      PMCID: PMC5865462          DOI: 10.1177/2042098617716819

Source DB:  PubMed          Journal:  Ther Adv Drug Saf        ISSN: 2042-0986


  82 in total

1.  Effects of erythropoietin on platelet reactivity and thrombopoiesis in humans.

Authors:  P J Stohlawetz; L Dzirlo; N Hergovich; E Lackner; C Mensik; H G Eichler; E Kabrna; K Geissler; B Jilma
Journal:  Blood       Date:  2000-05-01       Impact factor: 22.113

2.  A population-based approach for the definition of chronic kidney disease: the CKD Prognosis Consortium.

Authors:  Massimo Cirillo; Cinzia Lombardi; Alessandra Antonia Mele; Fabiana Marcarelli; Giancarlo Bilancio
Journal:  J Nephrol       Date:  2012 Jan-Feb       Impact factor: 3.902

3.  Hematocrit was not validated as a surrogate end point for survival among epoetin-treated hemodialysis patients.

Authors:  Dennis J Cotter; Kevin Stefanik; Yi Zhang; Mae Thamer; Daniel Scharfstein; James Kaufman
Journal:  J Clin Epidemiol       Date:  2004-10       Impact factor: 6.437

4.  An algorithm to identify incident myocardial infarction using Medicaid data.

Authors:  Neesha N Choma; Marie R Griffin; Robert L Huang; Edward F Mitchel; Lisa A Kaltenbach; Patricia Gideon; Shannon M Stratton; Christianne L Roumie
Journal:  Pharmacoepidemiol Drug Saf       Date:  2009-11       Impact factor: 2.890

5.  Hemoglobin decline in children with chronic kidney disease: baseline results from the chronic kidney disease in children prospective cohort study.

Authors:  Jeffrey J Fadrowski; Christopher B Pierce; Stephen R Cole; Marva Moxey-Mims; Bradley A Warady; Susan L Furth
Journal:  Clin J Am Soc Nephrol       Date:  2008-01-30       Impact factor: 8.237

6.  Greater epoetin alfa responsiveness is associated with improved survival in hemodialysis patients.

Authors:  Ryan D Kilpatrick; Cathy W Critchlow; Steven Fishbane; Anatole Besarab; Catherine Stehman-Breen; Mahesh Krishnan; Brian D Bradbury
Journal:  Clin J Am Soc Nephrol       Date:  2008-04-16       Impact factor: 8.237

Review 7.  Mechanisms and treatment of CKD.

Authors:  Piero Ruggenenti; Paolo Cravedi; Giuseppe Remuzzi
Journal:  J Am Soc Nephrol       Date:  2012-10-25       Impact factor: 10.121

8.  Validation of ICD-9 codes with a high positive predictive value for incident strokes resulting in hospitalization using Medicaid health data.

Authors:  Christianne L Roumie; Edward Mitchel; Patricia S Gideon; Cristina Varas-Lorenzo; Jordi Castellsague; Marie R Griffin
Journal:  Pharmacoepidemiol Drug Saf       Date:  2008-01       Impact factor: 2.890

9.  Overadjustment bias and unnecessary adjustment in epidemiologic studies.

Authors:  Enrique F Schisterman; Stephen R Cole; Robert W Platt
Journal:  Epidemiology       Date:  2009-07       Impact factor: 4.822

10.  Neocytolysis contributes to the anemia of renal disease.

Authors:  L Rice; C P Alfrey; T Driscoll; C E Whitley; D L Hachey; W Suki
Journal:  Am J Kidney Dis       Date:  1999-01       Impact factor: 8.860

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