Decision-making under uncertainty in advanced heart failure

UMMS Affiliation

Department of Medicine, Division of Cardiology; Meyers Primary Care Institute; Department of Quantitative Health Sciences

Publication Date


Document Type



Cardiology | Cardiovascular Diseases


The challenges managing advanced heart failure (AHF) are mounting, not least by the presence of multiple coexisting comorbidities, the lack of evidence of clinical benefit in many subsets of AHF, but also surrounding the uncertainty of the both short-term and long-term prognosis. Clinicians are highly variable in their interpretation of clinical data and are prone to considerable bias when it comes to treatment recommendations. This manuscript provides a critical appraisal of the uncertainties as it pertains to the natural history of AHF and management decisions. First, clinical examples are explored to illustrate common errors of judgment due to unrecognized biases. Secondly, a tool is provided that promulgates a structured approach to key data elements in an attempt to create a sound platform for decision-making.

DOI of Published Version



Curr Heart Fail Rep. 2014 Jun;11(2):188-96. doi: 10.1007/s11897-014-0195-7. Link to article on publisher's site

Journal/Book/Conference Title

Current heart failure reports

Related Resources

Link to Article in PubMed

PubMed ID