Cited by 356Cardiac electrophysiology and arrhythmiasCardiac pacing and defibrillation studiesCardiac Health and Mental Health

Limitations of Ejection Fraction for Prediction of Sudden Death Risk in Patients With Coronary Artery Disease

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Buxton, Alfred E., Lee, Kerry L., Hafley, Gail E., Pires, Luis A., Fisher, John D., Gold, Michael R., Josephson, Mark E., Lehmann, Michael H. +1 more·2007·Journal of the American College of Cardiology

Abstract

Objectives We determined the contribution of multiple variables to predict arrhythmic death and total mortality risk in patients with coronary disease and left ventricular dysfunction. We then constructed an algorithm to predict risk of mortality and sudden death.Background Many factors in addition to ejection fraction (EF) influence the prognosis of patients with coronary disease. However, there are few tools to use this information to guide clinical decisions.Methods We evaluated the relationship between 25 variables and total mortality and arrhythmic death in 674 patients enrolled in the MUSTT (Multicenter Unsustained Tachycardia Trial) study that did not receive antiarrhythmic therapy. We then constructed risk-stratification algorithms to weight the prognostic impact of each variable on arrhythmic death and total mortality risk.Results The variables having the greatest prognostic impact in multivariable analysis were functional class, history of heart failure, nonsustained ventricular tachycardia not related to bypass surgery, EF, age, left ventricular conduction abnormalities, inducible sustained ventricular tachycardia, enrollment as an inpatient, and atrial fibrillation. The model demonstrates that patients whose only risk factor is EF < or =30% have a predicted 2-year arrhythmic death risk <5%.Conclusions Multiple variables influence arrhythmic death and total mortality risk. Patients with EF < or =30% but no other risk factor have low predicted mortality risk. Patients with EF >30% and other risk factors may have higher mortality and a higher risk of sudden death than some patients with EF < or =30%. Thus, risk of sudden death in patients with coronary disease depends on multiple variables in addition to EF.

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Crossref · 10.1016/j.jacc.2007.04.095

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  • In the modern era, the independent predictive value of NSVT in MI survivors is not established.

    “in the modern era, the independent predictive value of NSVT is not established”

    From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Buxton et al., 2007

    The Methods (p. 1151) say NSVT was required for entry into the MUSTT study, so this analysis could not compare MI survivors with and without NSVT to assess its independent predictive value. The Results examine characteristics and timing of NSVT, but no passage found states whether the independent predictive value of NSVT in modern-era MI survivors is established. (LLM, conf=0.73)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 3

  1. [13]13. Harrell FE Jr., Polluck BG, Lee KL. Graphical methods for the analysis of survival data. In: Proceedings of the Twelfth Annual SAS Users Group International Conference. Cary, NC: SAS Institute, 1987:1107-15.
  2. [15]15. Stone CJ, Koo C. Additive splines in statistics. In: Proceedings of the Statistical Computing Section. Alexandria, VA: American Statistical Association, 1985:45-8.
  3. [16]16. Devlin TF, Weeks BJ. Spline functions for logistic regression model- ing. In: Proceedings of the Eleventh Annual SAS Users Group International Conference. Cary, NC: SAS Institute, 1986:646 -51.

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Authors
Buxton, A. E., Lee, K. L., Hafley, G. E., Pires, L. A., Fisher, J. D., Gold, M. R., Josephson, M. E., Lehmann, M. H., & Prystowsky, E. N.
Affiliations
  • Brown University (US)
  • Duke Medical Center (US)
  • Albert Einstein College of Medicine (US)
  • Medical University of South Carolina (US)
  • Beth Israel Deaconess Medical Center (US)
  • University of Michigan (US)
Corresponding author
Buxton, Alfred E.
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2007-09
Volume
50
Issue
12
Pages
1150-1157
ISSN
0735-1097 (ISSN-L)
OpenAlex
W29926391
Cited by
356
References
25
Citations by year
2026: 7 · 2025: 2 · 2024: 4 · 2023: 9 · 2022: 9 · 2021: 11 · 2020: 11 · 2019: 16 · 2018: 24 · 2017: 27 · 2016: 24 · 2015: 28 · 2014: 23 · 2013: 40 · 2012: 21
FWCI
17.79
Type
journal article
Language
en
Open access
Locations
  • Journal of the American College of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (5u01hl045726-06)
  • National Heart, Lung, and Blood Institute (UO1HL45700, UO1-HL45726, HL45700, U01HL045700)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
Keywords
ejection fraction, sudden cardiac death, arrhythmic death, coronary artery disease, left ventricular dysfunction, risk stratification, mortality prediction, non-sustained ventricular tachycardia, atrial fibrillation, heart failure
MeSH terms
Aged, Anti-Arrhythmia Agents, Cause of Death, Coronary Artery Disease, Female, Heart Arrest, Humans, Male, Middle Aged, Predictive Value of Tests, Probability, Sensitivity and Specificity, Stroke Volume, Confidence Intervals, Chi-Square Distribution, Proportional Hazards Models, Death, Sudden, Cardiac, Defibrillators, Implantable, Tachycardia, Ventricular, Risk Assessment

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