Literature DB >> 12937310

Different impact of biomarkers as mortality predictors among diabetic and nondiabetic patients undergoing hemodialysis.

Berthold Hocher1, Reinhard Ziebig, Claudia Altermann, Rolfdieter Krause, Gernot Asmus, Claus-Michael Richter, Torsten Slowinski, Pranav Sinha, Hans-H Neumayer.   

Abstract

Diabetic patients undergoing hemodialysis demonstrate much worse survival rates than do nondiabetic patients undergoing hemodialysis. To search for risk predictors, a prospective cohort study was performed with 245 hemodialysis patients, including 84 with diabetes mellitus, for 2 yr. C-reactive protein, troponin T (TnT), total, HDL, LDL, and lipoprotein(a) cholesterol, apoA2, apoB, triglyceride, fibrinogen, D-dimer, albumin, and creatinine levels and clinical characteristics at the time of entry were recorded. Survival rates were compared with Kaplan-Meier and Cox regression analyses. Forty-three diabetic patients and 30 nondiabetic patients died. Among diabetic patients, oliguria (<200 ml/d) (relative risk, 3.24; 95% confidence interval, 1.63 to 6.41; P = 0.001), elevated C-reactive protein levels (relative risk, 2.57; 95% confidence interval, 1.06 to 6.18; P = 0.035), and elevated D-dimer levels (relative risk, 2.36; 95% confidence interval, 1.11 to 5.01; P = 0.025) predicted all-cause mortality rates. Oliguria was by far the most important predictor, particularly for infectious disease-related death (relative risk, 23.35; 95% confidence interval, 2.60 to 209.97; P = 0.005). Among nondiabetic patients, elevated TnT levels (relative risk, 4.00; 95% confidence interval, 1.58 to 10.10; P = 0.003), elevated D-dimer levels (relative risk, 3.45; 95% confidence interval, 1.27 to 9.33; P = 0.015), and low cholesterol levels (relative risk, 3.61; 95% confidence interval, 1.34 to 9.71; P = 0.011) predicted all-cause mortality rates. Subdivision of the causes of death among nondiabetic patients revealed that TnT levels predicted cardiovascular mortality rates (relative risk, 5.38; 95% confidence interval, 1.11 to 26.10; P = 0.037) and infectious disease-related mortality rates (relative risk, 12.02; 95% confidence interval, 1.42 to 191.96; P = 0.023). In conclusion, mortality predictors among patients undergoing hemodialysis differed substantially between diabetic and nondiabetic patients. Strategies to reduce mortality rates should consider these differences.

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Year:  2003        PMID: 12937310     DOI: 10.1097/01.asn.0000081662.64171.9b

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  7 in total

1.  Comparative effects of angiotensin-converting enzyme inhibition and angiotensin-receptor blockade on inflammation during hemodialysis.

Authors:  Jorge L Gamboa; Mias Pretorius; Deanna R Todd-Tzanetos; James M Luther; Chang Yu; T Alp Ikizler; Nancy J Brown
Journal:  J Am Soc Nephrol       Date:  2011-12-08       Impact factor: 10.121

2.  Relationship between adiposity and cardiovascular risk factors in prevalent hemodialysis patients.

Authors:  George A Kaysen; Peter Kotanko; Fansan Zhu; Shubho R Sarkar; Steven B Heymsfield; Martin K Kuhlmann; Tjien Dwyer; Len Usvyat; Peter Havel; Nathan W Levin
Journal:  J Ren Nutr       Date:  2009-07-10       Impact factor: 3.655

Review 3.  Endothelin-converting enzyme-1 inhibition and renoprotection in end-stage renal disease.

Authors:  Sanjaya Kuruppu; Niwanthi W Rajapakse; A Ian Smith
Journal:  Pflugers Arch       Date:  2013-01-18       Impact factor: 3.657

Review 4.  Cardiac troponin and C-reactive protein for predicting all-cause and cardiovascular mortality in patients with chronic kidney disease: a meta-analysis.

Authors:  Wei-Jie Li; Xu-Miao Chen; Xiao-Ying Nie; Jing Zhang; Yun-Jiu Cheng; Xiao-Xiong Lin; Su-Hua Wu
Journal:  Clinics (Sao Paulo)       Date:  2015-04       Impact factor: 2.365

5.  Feasible isolated liver transplantation for a cirrhotic patient on chronic hemodialysis.

Authors:  Kazutoyo Morita; Ken Shirabe; Tomoharu Yoshizumi; Toru Ikegami; Toshiro Masuda; Naotaka Hashimoto; Yohei Mano; Tatsunori Miyata; Yuji Soejima; Yoshihiko Maehara
Journal:  Case Rep Gastroenterol       Date:  2013-07-18

6.  Serum lipid profile constituents as markers of cardiovascular morbidity in patients on chronic hemodialysis.

Authors:  Dimitrios Kirmizis; Evangelia Koutoupa; Apostolos Tsiandoulas; Aphroditi Valtopoulou; Georgios Niavis; Phani Markou; Konstantinos Barboutis
Journal:  Biomark Insights       Date:  2007-02-07

7.  Bone densitometric analysis in egyptian hemodialysis patients.

Authors:  Ehab I Mohamed; Eman S D Khalil
Journal:  Int J Biomed Sci       Date:  2008-06
  7 in total

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