Frontiers in Physiology (Feb 2020)

Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients

  • Matthias C. Braunisch,
  • Christopher C. Mayer,
  • Axel Bauer,
  • Axel Bauer,
  • Georg Lorenz,
  • Bernhard Haller,
  • Konstantinos D. Rizas,
  • Stefan Hagmair,
  • Lukas von Stülpnagel,
  • Lukas von Stülpnagel,
  • Wolfgang Hamm,
  • Roman Günthner,
  • Susanne Angermann,
  • Julia Matschkal,
  • Stephan Kemmner,
  • Anna-Lena Hasenau,
  • Isabel Zöllinger,
  • Dominik Steubl,
  • Johannes F. Mann,
  • Johannes F. Mann,
  • Thomas Lehnert,
  • Julia Scherf,
  • Jürgen R. Braun,
  • Philipp Moog,
  • Claudius Küchle,
  • Lutz Renders,
  • Marek Malik,
  • Georg Schmidt,
  • Siegfried Wassertheurer,
  • Uwe Heemann,
  • Christoph Schmaderer

DOI
https://doi.org/10.3389/fphys.2020.00077
Journal volume & issue
Vol. 11

Abstract

Read online

BackgroundExcess 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.MethodsA 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.ResultsDuring 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.ConclusionIndependent 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.

Keywords