TY - JOUR
T1 - Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients
AU - Braunisch, Matthias C.
AU - Mayer, Christopher C.
AU - Bauer, Axel
AU - Lorenz, Georg
AU - Haller, Bernhard
AU - Rizas, Konstantinos D.
AU - Hagmair, Stefan
AU - von Stülpnagel, Lukas
AU - Hamm, Wolfgang
AU - Günthner, Roman
AU - Angermann, Susanne
AU - Matschkal, Julia
AU - Kemmner, Stephan
AU - Hasenau, Anna Lena
AU - Zöllinger, Isabel
AU - Steubl, Dominik
AU - Mann, Johannes F.
AU - Lehnert, Thomas
AU - Scherf, Julia
AU - Braun, Jürgen R.
AU - Moog, Philipp
AU - Küchle, Claudius
AU - Renders, Lutz
AU - Malik, Marek
AU - Schmidt, Georg
AU - Wassertheurer, Siegfried
AU - Heemann, Uwe
AU - Schmaderer, Christoph
N1 - Publisher Copyright:
© Copyright © 2020 Braunisch, Mayer, Bauer, Lorenz, Haller, Rizas, Hagmair, von Stülpnagel, Hamm, Günthner, Angermann, Matschkal, Kemmner, Hasenau, Zöllinger, Steubl, Mann, Lehnert, Scherf, Braun, Moog, Küchle, Renders, Malik, Schmidt, Wassertheurer, Heemann and Schmaderer.
PY - 2020/2/11
Y1 - 2020/2/11
N2 - 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.
AB - 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.
KW - baroreflex
KW - cardiovascular mortality
KW - heart rate turbulence
KW - hemodialysis
KW - mortality risk prediction
UR - http://www.scopus.com/inward/record.url?scp=85081147503&partnerID=8YFLogxK
U2 - 10.3389/fphys.2020.00077
DO - 10.3389/fphys.2020.00077
M3 - Article
AN - SCOPUS:85081147503
SN - 1664-042X
VL - 11
JO - Frontiers in Physiology
JF - Frontiers in Physiology
M1 - 77
ER -