Literature DB >> 27798199

Predictors of atherosclerotic events in patients on haemodialysis: post hoc analyses from the AURORA study.

Marit D Solbu1,2,3, Geir Mjøen4, Patrick B Mark1,5, Hallvard Holdaas6, Bengt Fellström7, Roland E Schmieder8, Faiez Zannad9, William G Herrington10, Alan G Jardine1,5.   

Abstract

Background: Patients on haemodialysis (HD) are at high risk for cardiovascular events, but heart failure and sudden death are more common than atherosclerotic events. The A Study to Evaluate the Use of Rosuvastatinin in Subjects on Regular Hemodialysis: An Assessment of Survival and Cardiovascular Events (AURORA) trial was designed to assess the effect of rosuvastatin on myocardial infarction and death from any cardiac cause in 2773 HD patients. We studied predictors of the atherosclerotic cardiovascular events in AURORA.
Methods: We readjudicated all deaths and presumed myocardial infarctions according to the criteria used in the Study of Heart and Renal Protection (SHARP); these were specifically developed to separate atherosclerotic from non-atherosclerotic cardiovascular events. The readjudicated atherosclerotic end point included the first event of the following: non-fatal myocardial infarction, fatal coronary heart disease, non-fatal and fatal non-haemorrhagic stroke, coronary revascularization procedures and death from ischaemic limb disease. Stepwise Cox regression analysis was used to identify the predictors of such events.
Results: During a mean follow-up of 3.2 years, 506 patients experienced the new composite atherosclerotic outcome. Age, male sex, prevalent diabetes, prior cardiovascular disease, weekly dialysis duration, baseline albumin [hazard ratio (HR) 0.96; 95% confidence interval (CI) 0.94-0.99 per g/L increase], high-sensitivity C-reactive protein (HR 1.13; 95% CI 1.04-1.22 per mg/L increase) and oxidized low-density lipoprotein (LDL) cholesterol (HR 1.09; 95% CI 1.03-1.17 per 10 U/L increase) were selected as significant predictors in the model. Neither LDL cholesterol nor allocation to placebo/rosuvastatin therapy predicted the outcome. Conclusions: Even with the use of strict criteria for end point definition, non-traditional risk factors, but not lipid disturbances, predicted atherosclerotic events in HD patients.
© The Author 2016. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Entities:  

Keywords:  atherosclerosis; coronary artery disease; haemodialysis; statins; vascular calcification

Mesh:

Substances:

Year:  2018        PMID: 27798199     DOI: 10.1093/ndt/gfw360

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


  9 in total

1.  Do trace elements play a role in coronary artery calcification in hemodialysis patients?

Authors:  Meric Oruc; Selda Mercan; Selim Bakan; Sennur Kose; Baris Ikitimur; Sinan Trabulus; Mehmet Riza Altiparmak
Journal:  Int Urol Nephrol       Date:  2022-07-19       Impact factor: 2.266

Review 2.  Cardiovascular risk factors in children on dialysis: an update.

Authors:  Uwe Querfeld; Franz Schaefer
Journal:  Pediatr Nephrol       Date:  2018-10-31       Impact factor: 3.714

Review 3.  Coronary Artery Bypass Surgery in End-Stage Renal Disease Patients.

Authors:  Daijiro Hori; Atsushi Yamaguchi; Hideo Adachi
Journal:  Ann Vasc Dis       Date:  2017-06-25

4.  Serum heat shock protein 27 levels predict cardiac mortality in hemodialysis patients.

Authors:  Andrzej Jaroszyński; Anna Jaroszyńska; Tomasz Zaborowski; Anna Drelich-Zbroja; Tomasz Zapolski; Wojciech Dąbrowski
Journal:  BMC Nephrol       Date:  2018-12-17       Impact factor: 2.388

5.  Increased carotid plaque burden in patients with family medical history of premature cardiovascular events in the absence of classical risk factors.

Authors:  Paul W Atkins; Hernán A Perez; J David Spence; Sonia E Muñoz; Luis J Armando; Néstor H García
Journal:  Arch Med Sci       Date:  2019-11-03       Impact factor: 3.318

Review 6.  Prediction or causality? A scoping review of their conflation within current observational research.

Authors:  Chava L Ramspek; Ewout W Steyerberg; Richard D Riley; Frits R Rosendaal; Olaf M Dekkers; Friedo W Dekker; Merel van Diepen
Journal:  Eur J Epidemiol       Date:  2021-08-15       Impact factor: 8.082

7.  Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids.

Authors:  David de Gonzalo-Calvo; Pablo Martínez-Camblor; Christian Bär; Kevin Duarte; Nicolas Girerd; Bengt Fellström; Roland E Schmieder; Alan G Jardine; Ziad A Massy; Hallvard Holdaas; Patrick Rossignol; Faiez Zannad; Thomas Thum
Journal:  Theranostics       Date:  2020-07-09       Impact factor: 11.556

8.  Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes.

Authors:  Arnaud Delautre; François Chantrel; Yves Dimitrov; Alexandre Klein; Olivier Imhoff; Clotilde Muller; Nicole Schauder; Thierry Hannedouche; Thierry Krummel
Journal:  BMC Nephrol       Date:  2020-08-13       Impact factor: 2.388

9.  An optical coherence tomography comparison of coronary arterial plaque calcification in patients with end-stage renal disease and diabetes mellitus.

Authors:  Joseph R Weber; Brendan Martin; Nicholas Kassis; Kunal Shah; Tomas Kovarnik; Holly Mattix-Kramer; John J Lopez
Journal:  Diab Vasc Dis Res       Date:  2020 May-Jun       Impact factor: 3.291

  9 in total

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