Excessive wave reflections on admission predict post-discharge events in patients hospitalized due to acute heart

Shih-Hsien Sung1, Wen-Chung Yu, Hao-Min Cheng

  • 1Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.

Insights

Measures of wave reflection, including carotid augmented pressure (cAP), reflected pressure wave amplitude (Pb), and carotid pulse pressure (PP), predict long-term outcomes in acute heart failure syndrome (AHFS) patients. These findings highlight wave reflection's role in AHFS.

Area of Science:

  • Cardiovascular Medicine
  • Biomedical Engineering
  • Clinical Physiology

Background:

  • The role of arterial wave reflections in acute heart failure syndrome (AHFS) pathogenesis is not fully understood.
  • Predicting long-term prognosis in AHFS patients is crucial for effective management.

Purpose of the Study:

  • To investigate the long-term prognostic value of various wave reflection parameters on admission in hospitalized AHFS patients.
  • To assess the predictive power of carotid augmentation index (cAI), carotid augmented pressure (cAP), reflected pressure wave amplitude (Pb), and carotid pulse pressure (PP).

Main Methods:

  • 120 AHFS patients were enrolled, with measurements of cAI, cAP, Pb, carotid PP, cf-PWV, and TFC obtained within 24 hours of admission.
  • NT-proBNP levels were measured before discharge.
  • Patients were followed for a median of 601 days for adverse events.

Main Results:

  • In univariate analysis, all wave reflection measures significantly predicted post-discharge events.
  • Multivariate analysis revealed that cAP, Pb, and carotid PP independently predicted events after adjusting for clinical factors and NT-proBNP.
  • cAI, TFC, and cf-PWV did not show independent predictive value.

Conclusions:

  • On-admission cAP, Pb, and carotid PP are valuable for predicting long-term outcomes in AHFS patients.
  • These findings suggest a significant role for arterial wave reflections in the pathogenesis of AHFS.
  • Wave reflection parameters may aid in risk stratification for AHFS patients.
Abstract

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