Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients
Braunisch MC, Mayer CC, Bauer A, Lorenz G, Haller B, Rizas KD, Hagmair S, von Stülpnagel L, Hamm W, Günthner R, Angermann S, Matschkal J, Kemmner S, Hasenau AL, Zöllinger I, Steubl D, Mann J, Lehnert T, Scherf J, Braun JR, Moog P, Küchle C, Renders L, Malik M, Schmidt G, Wassertheurer S, Heemann U, Schmaderer C (2020)
Publication Type: Journal article
Publication year: 2020
Journal
Book Volume: 11
Article Number: 77
Abstract
Background: Excess mortality in hemodialysis patients is mostly of cardiovascular origin. We examined the association of heart rate turbulence (HRT), a marker of baroreflex sensitivity, with cardiovascular mortality in hemodialysis patients. Methods: A population of 290 prevalent hemodialysis patients was followed up for a median of 3 years. HRT categories 0 (both turbulence onset [TO] and slope [TS] normal), 1 (TO or TS abnormal), and 2 (both TO and TS abnormal) were obtained from 24 h Holter recordings. The primary end-point was cardiovascular mortality. Associations of HRT categories with the endpoints were analyzed by multivariable Cox regression models including HRT, age, albumin, and the improved Charlson Comorbidity Index for hemodialysis patients. Multivariable linear regression analysis identified factors associated with TO and TS. Results: During the follow-up period, 20 patients died from cardiovascular causes. In patients with HRT categories 0, 1 and 2, cardiovascular mortality was 1, 10, and 22%, respectively. HRT category 2 showed the strongest independent association with cardiovascular mortality with a hazard ratio of 19.3 (95% confidence interval: 3.69–92.03; P < 0.001). Age, calcium phosphate product, and smoking status were associated with TO and TS. Diabetes mellitus and diastolic blood pressure were only associated with TS. Conclusion: Independent of known risk factors, HRT assessment allows identification of hemodialysis patients with low, intermediate, and high risk of cardiovascular mortality. Future prospective studies are needed to translate risk prediction into risk reduction in hemodialysis patients.
Involved external institutions
Technische Universität München (TUM)
Germany (DE)
KfH Kuratorium für Dialyse und Nierentransplantation e.V.
Germany (DE)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
Klinikum der Universität München
Germany (DE)
AIT Austrian Institute of Technology
Austria (AT)
Klinikum rechts der Isar
Germany (DE)
Dialysezentrum München Nord
Germany (DE)
Germany (DE)
KfH Kuratorium für Dialyse und Nierentransplantation e.V.
Germany (DE)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
Klinikum der Universität München
Germany (DE)
AIT Austrian Institute of Technology
Austria (AT)
Klinikum rechts der Isar
Germany (DE)
Dialysezentrum München Nord
Germany (DE)
How to cite
APA:
Braunisch, M.C., Mayer, C.C., Bauer, A., Lorenz, G., Haller, B., Rizas, K.D.,... Schmaderer, C. (2020). Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients. Frontiers in Physiology, 11. https://doi.org/10.3389/fphys.2020.00077
MLA:
Braunisch, Matthias C., et al. "Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients." Frontiers in Physiology 11 (2020).
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