Novel Approach to Cardiovascular Outcome Prediction in Haemodialysis Patients

Diana Chiu1, Nik Abidin, Laura Johnstone

  • 1Vascular Research Group, Institute of Population Health, The University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK.

Insights

Arterial stiffness (PWV) and left ventricular mass (LVMI/HT2.7) predict all-cause mortality in hemodialysis (HD) patients. Global longitudinal strain (GLS) independently predicts cardiac death and events in HD patients.

Area of Science:

  • Cardiology
  • Nephrology
  • Biomedical Engineering

Background:

  • Cardiovascular mortality is a significant concern in patients undergoing hemodialysis (HD).
  • Arterial stiffness and global longitudinal strain (GLS) are recognized predictors of cardiovascular risk.
  • No prior study has jointly evaluated arterial stiffness and GLS for predicting outcomes in HD patients.

Purpose of the Study:

  • To investigate the combined predictive value of arterial stiffness (pulse wave velocity, PWV) and GLS for cardiovascular outcomes in HD patients.
  • To determine the independent contribution of PWV and GLS to all-cause mortality, cardiac death, and major cardiac events in this population.

Main Methods:

  • A cohort of 219 HD patients underwent assessments of PWV and echocardiography, including GLS.
  • Patients were followed for mortality, transplantation, or a composite endpoint.
  • Multivariable Cox regression models were used to assess the association between PWV, GLS, LV mass indexed to height2.7 (LVMI/HT2.7), and cardiovascular outcomes.

Main Results:

  • In a combined model, PWV and LVMI/HT2.7 were independently associated with all-cause mortality.
  • PWV did not predict cardiac death or cardiac events.
  • GLS was independently associated with cardiac death and major cardiac events, even after adjusting for LV ejection fraction and LVMI/HT2.7.

Conclusions:

  • PWV and LVMI/HT2.7 are superior to GLS in predicting all-cause mortality in HD patients.
  • GLS remains a significant predictor of cardiac death and events, highlighting its importance in assessing cardiac risk in HD patients.
Abstract

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