Risk Prediction After Myocardial Infarction by Cyclic Variation of Heart Rate, a Surrogate of Sleep-Disordered

Xu Cao1, Alexander Müller1, Ralf J Dirschinger1

  • 1Klinik und Poliklinik für Innere Medizin I, University Hospital Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Frontiers in Physiology
|February 4, 2020
PubMed

Insights

Sleep-disordered breathing (SDB) in myocardial infarction (MI) survivors did not predict mortality. However, a flat heart rate tachogram on Holter ECGs strongly and independently predicted 5-year all-cause mortality in these patients.

Area of Science:

  • Cardiology
  • Sleep Medicine
  • Medical Diagnostics

Background:

  • Sleep-disordered breathing (SDB) is prevalent in cardiac patients, but its independent prognostic value post-myocardial infarction (MI) remains uncertain.
  • Cyclic variation of heart rate (CVHR) is a physiological marker associated with SDB.

Purpose of the Study:

  • To assess the association between SDB, identified by CVHR on Holter ECGs, and 5-year mortality in acute MI survivors.
  • To investigate the predictive value of SDB-related CVHR for mortality after MI.

Main Methods:

  • Prospective enrollment of 1590 acute MI survivors in sinus rhythm, followed for 5-year all-cause mortality.
  • Analysis of nocturnal Holter ECGs to quantify minutes with CVHR, with SDB defined as ≥72 min of CVHR.
  • Exclusion of 77 patients with flat HR tachograms, leaving 1513 for SDB classification.

Main Results:

  • SDB was identified in 38.6% (584/1513) of eligible patients; no significant mortality difference was observed between SDB and non-SDB groups.
  • Low CVHR duration, as a continuous variable, was associated with increased mortality.
  • Patients with flat HR tachograms exhibited significantly increased mortality, independent of clinical risk factors and other ECG markers like HRV, HRT, and DC.

Conclusions:

  • While SDB signs were common in MI survivors, they were not linked to mortality.
  • A flat nocturnal heart rate tachogram emerged as a potent, independent predictor of 5-year all-cause mortality in this cohort.
Abstract

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