Literature DB >> 22745274

Serum β-trace protein and risk of mortality in incident hemodialysis patients.

Tariq Shafi1, Rulan S Parekh, Bernard G Jaar, Laura C Plantinga, Pooja C Oberai, John H Eckfeldt, Andrew S Levey, Neil R Powe, Josef Coresh.   

Abstract

BACKGROUND AND OBJECTIVES: Residual kidney function in dialysis patients is associated with better survival, but there are no simple methods for its assessment. β-Trace protein is a novel endogenous filtration marker of kidney function that is not removed during hemodialysis and may serve as a marker for residual kidney function similar to serum creatinine in patients not on dialysis. The objective of this study was to determine the association of serum β-trace protein with mortality in incident hemodialysis patients. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Serum β-trace protein was measured in baseline samples from 503 participants of a national prospective cohort study of incident dialysis patients with enrollment during 1995-1998 and follow-up until 2004. Outcomes were all-cause and cardiovascular disease mortality analyzed using Cox regression adjusted for demographic, clinical, and treatment factors.
RESULTS: Serum β-trace protein levels were higher in individuals with no urine output compared with individuals with urine output (9.0±3.5 versus 7.6±3.1 mg/L; P<0.001). There were 321 deaths (159 deaths from cardiovascular disease) during follow-up (median=3.3 years). Higher β-trace protein levels were associated with higher risk of mortality. The adjusted hazard ratio and 95% confidence interval for all-cause mortality per doubling of serum β-trace protein was 1.36 (1.09-1.69). The adjusted hazard ratios (95% confidence intervals) for all-cause mortality in the middle and highest tertiles compared with the lowest tertile were 0.95 (0.69-1.32) and 1.72 (1.25-2.37). Similar results were noted for cardiovascular disease mortality.
CONCLUSIONS: The serum level of β-trace protein is an independent predictor of death and cardiovascular disease mortality in incident hemodialysis patients.

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Year:  2012        PMID: 22745274      PMCID: PMC3430954          DOI: 10.2215/CJN.02240312

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  51 in total

1.  Beta-trace protein in serum: a new marker of glomerular filtration rate in the creatinine-blind range.

Authors:  F Priem; H Althaus; M Birnbaum; P Sinha; H S Conradt; K Jung
Journal:  Clin Chem       Date:  1999-04       Impact factor: 8.327

2.  Cerebrospinal fluid leakage: agarose gel electrophoresis detection of beta(2)-transferrin and nephelometric quantification of beta-trace protein.

Authors:  Elizabeth L Sanders; Raynell J Clark; Jerry A Katzmann
Journal:  Clin Chem       Date:  2004-09-30       Impact factor: 8.327

3.  Lipocalin-type prostaglandin D synthase (beta-trace) is a newly recognized type of retinoid transporter.

Authors:  T Tanaka; Y Urade; H Kimura; N Eguchi; A Nishikawa; O Hayaishi
Journal:  J Biol Chem       Date:  1997-06-20       Impact factor: 5.157

4.  Second generation logarithmic estimates of single-pool variable volume Kt/V: an analysis of error.

Authors:  J T Daugirdas
Journal:  J Am Soc Nephrol       Date:  1993-11       Impact factor: 10.121

5.  High lipoprotein(a) levels and small apolipoprotein(a) size prospectively predict cardiovascular events in dialysis patients.

Authors:  J Craig Longenecker; Michael J Klag; Santica M Marcovina; Yong-Mei Liu; Bernard G Jaar; Neil R Powe; Nancy E Fink; Andrew S Levey; Josef Coresh
Journal:  J Am Soc Nephrol       Date:  2005-03-30       Impact factor: 10.121

6.  Binding of biliverdin, bilirubin, and thyroid hormones to lipocalin-type prostaglandin D synthase.

Authors:  C T Beuckmann; M Aoyagi; I Okazaki; T Hiroike; H Toh; O Hayaishi; Y Urade
Journal:  Biochemistry       Date:  1999-06-22       Impact factor: 3.162

7.  Expression of lipocalin-type prostaglandin D synthase (beta-trace) in human heart and its accumulation in the coronary circulation of angina patients.

Authors:  Y Eguchi; N Eguchi; H Oda; K Seiki; Y Kijima; Y Matsu-ura; Y Urade; O Hayaishi
Journal:  Proc Natl Acad Sci U S A       Date:  1997-12-23       Impact factor: 11.205

8.  Associates of mortality among peritoneal dialysis patients with special reference to peritoneal transport rates and solute clearance.

Authors:  J A Diaz-Buxo; E G Lowrie; N L Lew; S M Zhang; X Zhu; J M Lazarus
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9.  Predictive value of dialysis adequacy and nutritional indices for mortality and morbidity in CAPD and HD patients. A longitudinal study.

Authors:  R Maiorca; G Brunori; R Zubani; G C Cancarini; L Manili; C Camerini; E Movilli; A Pola; G d'Avolio; U Gelatti
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10.  Atorvastatin in patients with type 2 diabetes mellitus undergoing hemodialysis.

Authors:  Christoph Wanner; Vera Krane; Winfried März; Manfred Olschewski; Johannes F E Mann; Günther Ruf; Eberhard Ritz
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2.  Filtration markers as predictors of ESRD and mortality in Southwestern American Indians with type 2 diabetes.

Authors:  Meredith C Foster; Lesley A Inker; Chi-Yuan Hsu; John H Eckfeldt; Andrew S Levey; Meda E Pavkov; Bryan D Myers; Peter H Bennett; Paul L Kimmel; Ramachandran S Vasan; Josef Coresh; Robert G Nelson
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3.  A Cluster of Proteins Implicated in Kidney Disease Is Increased in High-Density Lipoprotein Isolated from Hemodialysis Subjects.

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4.  Serum β-Trace Protein and β2-Microglobulin as Predictors of ESRD, Mortality, and Cardiovascular Disease in Adults With CKD in the Chronic Renal Insufficiency Cohort (CRIC) Study.

Authors:  Meredith C Foster; Josef Coresh; Chi-Yuan Hsu; Dawei Xie; Andrew S Levey; Robert G Nelson; John H Eckfeldt; Ramachandran S Vasan; Paul L Kimmel; Jeffrey Schelling; Michael Simonson; James H Sondheimer; Amanda Hyre Anderson; Sanjeev Akkina; Harold I Feldman; John W Kusek; Akinlolu O Ojo; Lesley A Inker
Journal:  Am J Kidney Dis       Date:  2016-03-03       Impact factor: 8.860

5.  Novel filtration markers as predictors of all-cause and cardiovascular mortality in US adults.

Authors:  Meredith C Foster; Lesley A Inker; Andrew S Levey; Elizabeth Selvin; John Eckfeldt; Stephen P Juraschek; Josef Coresh
Journal:  Am J Kidney Dis       Date:  2013-03-19       Impact factor: 8.860

6.  Chronic Kidney Disease Classification in Systolic Blood Pressure Intervention Trial: Comparison Using Modification of Diet in Renal Disease and CKD-Epidemiology Collaboration Definitions.

Authors:  Michael V Rocco; Arlene Chapman; Glenn M Chertow; Debbie Cohen; Jing Chen; Jeffrey A Cutler; Matthew J Diamond; Barry I Freedman; Amret Hawfield; Eric Judd; Anthony A Killeen; Kent Kirchner; Cora E Lewis; Nicholas M Pajewski; Barry M Wall; Jerry Yee
Journal:  Am J Nephrol       Date:  2016-08-12       Impact factor: 3.754

Review 7.  Revisiting the Middle Molecule Hypothesis of Uremic Toxicity: A Systematic Review of Beta 2 Microglobulin Population Kinetics and Large Scale Modeling of Hemodialysis Trials In Silico.

Authors:  Maria Eleni Roumelioti; Thomas Nolin; Mark L Unruh; Christos Argyropoulos
Journal:  PLoS One       Date:  2016-04-07       Impact factor: 3.240

8.  Beta-trace protein as a potential biomarker of residual renal function in patients undergoing peritoneal dialysis.

Authors:  Philipp Lutz; Rainer Peter Woitas; Sebastian Schwab; Carola Ellen Kleine; Dominik Bös; Sylvie Bohmann; Christian P Strassburg
Journal:  BMC Nephrol       Date:  2021-03-11       Impact factor: 2.388

Review 9.  Expanded Haemodialysis as a Current Strategy to Remove Uremic Toxins.

Authors:  Paola Ciceri; Mario Cozzolino
Journal:  Toxins (Basel)       Date:  2021-05-26       Impact factor: 4.546

Review 10.  Large uremic toxins: an unsolved problem in end-stage kidney disease.

Authors:  Martin J Wolley; Colin A Hutchison
Journal:  Nephrol Dial Transplant       Date:  2018-10-01       Impact factor: 5.992

  10 in total

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