Sukru Ulusoy1, Gulsum Ozkan2, Ahmet Menteşe3, Beyhan Guvercin4, S Caner Karahan3, Adnan Yavuz5, Diler Us Altay3. 1. Department of Nephrology, Karadeniz Technical University, School of Medicine, Trabzon, Turkey. Electronic address: sulusoy2002@yahoo.com. 2. Department of Nephrology, Hatay Antakya State Hospital, Hatay, Turkey. 3. Department of Clinical Biochemistry, Karadeniz Technical University, School of Medicine, Trabzon, Turkey. 4. Department of Internal Medicine, Karadeniz Technical University, School of Medicine, Trabzon, Turkey. 5. Trabzon RNS Hemodialysis Center, Trabzon, Turkey.
Abstract
AIM: Cardiovascular disease is the most frequent cause of mortality in hemodialysis patients. There are a number of inconsistencies in terms of cardiovascular risk factors in these patients. Tenascin C (TN-C) is a matricellular protein which may be a prognostic predictor after myocardial infarction and many cardiac diseases. The purpose of this study was to determine TN-C levels in hemodialysis patients and to evaluate the association between TN-C levels and cardiac mortality. MAIN METHODS: In this multicenter prospective observational research, blood specimens were collected at the start of the study for the measurement of TN-C and other biochemical parameters. After 2 years' follow-up we investigated the association between TN-C and other biochemical and demographic parameters and cardiac and all cause mortality. KEY FINDINGS: Two hundred thirty-eight patients and 25 healthy individuals were enrolled. TN-C levels in the hemodialysis group were higher than those in the control group (p b 0.001). All-cause mortality was observed in 47 (19%) patients and cardiac mortality in 39 (15%). At multivariate Cox regression analysis, TN-C, age and systolic blood pressure were identified as independent predictors of cardiac mortality. The Kaplan–Meier survival curve revealed greater all-cause and cardiac mortality rates in the high TN-C group (Log rank p b 0.001 and p b 0.05 respectively). SIGNIFICANCE: TN-C levels were higher than those in the control group, and our results suggest that it may be a predictor of cardiac mortality in hemodialysis patients. If further studies support our research, TN-C may be a useful biomarker for detecting cardiac mortality risk.
AIM: Cardiovascular disease is the most frequent cause of mortality in hemodialysis patients. There are a number of inconsistencies in terms of cardiovascular risk factors in these patients. Tenascin C (TN-C) is a matricellular protein which may be a prognostic predictor after myocardial infarction and many cardiac diseases. The purpose of this study was to determine TN-C levels in hemodialysis patients and to evaluate the association between TN-C levels and cardiac mortality. MAIN METHODS: In this multicenter prospective observational research, blood specimens were collected at the start of the study for the measurement of TN-C and other biochemical parameters. After 2 years' follow-up we investigated the association between TN-C and other biochemical and demographic parameters and cardiac and all cause mortality. KEY FINDINGS: Two hundred thirty-eight patients and 25 healthy individuals were enrolled. TN-C levels in the hemodialysis group were higher than those in the control group (p b 0.001). All-cause mortality was observed in 47 (19%) patients and cardiac mortality in 39 (15%). At multivariate Cox regression analysis, TN-C, age and systolic blood pressure were identified as independent predictors of cardiac mortality. The Kaplan–Meier survival curve revealed greater all-cause and cardiac mortality rates in the high TN-C group (Log rank p b 0.001 and p b 0.05 respectively). SIGNIFICANCE: TN-C levels were higher than those in the control group, and our results suggest that it may be a predictor of cardiac mortality in hemodialysis patients. If further studies support our research, TN-C may be a useful biomarker for detecting cardiac mortality risk.
Entities:
Keywords:
Cardiac mortality; Hemodialysis; Mortality; Tenascin C
Authors: Sabine Brandt; Anja Fischer; Carla Kreutze; Dorothea Hempel; Xenia Gorny; Florian G Scurt; Delia L Şalaru; Peter Bartsch; Anja Bernhardt; Stefanie M Bode-Böger; Matthias Girndt; Roman Fiedler; Berend Isermann; Jonathan A Lindquist; Peter R Mertens Journal: Int Urol Nephrol Date: 2022-02-24 Impact factor: 2.266