Multiple Biomarkers Including Cardiac Troponins T and I Measured by High-Sensitivity Assays, as Predictors of Long-Term Mortality in Patients With Chronic Renal Failure Who Underwent Dialysis
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Hickman, Peter; McGill, Darryl; Potter, Julia; Koerbin, Gus; Apple, Fred S; Talaulikar, Girish
Description
There is a high cardiac mortality in patients on long-term renal dialysis. No studies have reported long-term outcomes relating to both high-sensitivity cardiac troponin T (hs-cTnT) and high-sensitivity cardiac troponin I (hs-cTnI) in these patients. Patients who underwent long-term dialysis at the Canberra Hospital had blood samples collected for both cardiac and other biomarkers. Samples were stored at -80°C until analysis. Mortality data were collected at 5 years, and univariate and...[Show more]
dc.contributor.author | Hickman, Peter | |
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dc.contributor.author | McGill, Darryl | |
dc.contributor.author | Potter, Julia | |
dc.contributor.author | Koerbin, Gus | |
dc.contributor.author | Apple, Fred S | |
dc.contributor.author | Talaulikar, Girish | |
dc.date.accessioned | 2015-12-10T23:30:44Z | |
dc.identifier.issn | 0002-9149 | |
dc.identifier.uri | http://hdl.handle.net/1885/68310 | |
dc.description.abstract | There is a high cardiac mortality in patients on long-term renal dialysis. No studies have reported long-term outcomes relating to both high-sensitivity cardiac troponin T (hs-cTnT) and high-sensitivity cardiac troponin I (hs-cTnI) in these patients. Patients who underwent long-term dialysis at the Canberra Hospital had blood samples collected for both cardiac and other biomarkers. Samples were stored at -80°C until analysis. Mortality data were collected at 5 years, and univariate and multivariate analyses were performed to identify which biomarkers were predictive of mortality at 5 years. After multivariate analysis, albumin, C-reactive protein (CRP), and hs-cTnT remained independently predictive of all-cause mortality, with hs-cTnT having the highest hazard ratio. If hs-cTnT was excluded from the analysis, then hs-cTnI was independently predictive of mortality. For hs-cTnT, for both genders, the ninety-ninth percentile, derived from a population with subjects with subclinical disease excluded, served as an excellent partition between survivors and nonsurvivors. Receiver-operating characteristic curve analysis for hs-cTnT had area under the curve of 0.798 and for hs-cTnI of 0.774. Kaplan-Meier curves for the aggregation of albumin, CRP, and hs-cTnT showed a stronger predictive power with receiver-operating characteristic area under the curve of 0.805. The addition of echocardiographic data in an analysis of all patients who had an echocardiogram for clinical reasons (n = 105) did not alter the final observations in this subgroup. In conclusion, hs-cTnT retains a superior predictive power in a dialysis-dependent population for identifying those at risk for death and when aggregated with albumin and CRP also has substantial additive value for identifying mortality risk in a renal-dialysis population. | |
dc.publisher | Excerpta Medica | |
dc.source | American Journal of Cardiology | |
dc.title | Multiple Biomarkers Including Cardiac Troponins T and I Measured by High-Sensitivity Assays, as Predictors of Long-Term Mortality in Patients With Chronic Renal Failure Who Underwent Dialysis | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 115 | |
dc.date.issued | 2015 | |
local.identifier.absfor | 110202 - Haematology | |
local.identifier.ariespublication | a383154xPUB1678 | |
local.type.status | Published Version | |
local.contributor.affiliation | Hickman, Peter, College of Medicine, Biology and Environment, ANU | |
local.contributor.affiliation | McGill, Darryl, College of Medicine, Biology and Environment, ANU | |
local.contributor.affiliation | Potter, Julia, College of Medicine, Biology and Environment, ANU | |
local.contributor.affiliation | Koerbin, Gus, ACT Health | |
local.contributor.affiliation | Apple, Fred S, University of Minnesota | |
local.contributor.affiliation | Talaulikar, Girish, College of Medicine, Biology and Environment, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.issue | 11 | |
local.bibliographicCitation.startpage | 1601 | |
local.bibliographicCitation.lastpage | 1606 | |
local.identifier.doi | 10.1016/j.amjcard.2015.02.066 | |
dc.date.updated | 2015-12-10T11:09:14Z | |
local.identifier.scopusID | 2-s2.0-84929287454 | |
Collections | ANU Research Publications |
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