Improving the Diagnosis of Acute Heart Failure Using a Validated Prediction Model
Brian Steinhart, MD*, ,*,
Kevin E. Thorpe, MMath ,**,
Ahmed M. Bayoumi, MD*, ,||, ,
Gordon Moe, MD*, ,¶,
James L. Januzzi, Jr, MD and
C. David Mazer, MD , ,#
* Department of Medicine, Saint Michael's Hospital, Toronto, Ontario, Canada
Department of Anesthesia and Critical Care Medicine, Saint Michael's Hospital, Toronto, Ontario, Canada
Keenan Research Center/Li Ka Shing Knowledge Institute, Saint Michael's Hospital, Toronto, Ontario, Canada
Department of Medicine, Division of Emergency Medicine, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
|| Department of Medicine, Division of General Medicine, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
¶ Department of Medicine, Division of Cardiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
# Departments of Anesthesia and Physiology, Faculty of Medicine, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
** Faculty of Medicine, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
 Faculty of Medicine, Department of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
 Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts

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Figure 2 Utility of Multiple NT-proBNP Cut Point Values for Altering Pre-Test Probability for AHF Based on Likelihood Ratios
Points further from the hypothetical null diagonal enhance change in pre-test probability. Points below it are in the rule-out AHF zone, points above it are in the rule-in zone, and points further from the diagonal in either direction enhance change in pre-test probability. Thus, the interval of <300 pg/ml has good rule-out AHF utility, and much less so the 300 to 899 pg/ml interval. Increasing the number of intervals for the greater NT-proBNP values adds incremental rule in AHF utility. Patients with pre-test probabilities 20% or 80% demonstrate minimal change in post-test results regardless of range of cut point. Patients with pre-test probabilities between 20% and 80% demonstrate the greatest change in post-test results. Abbreviations as in Figure 1.
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