4.0 Article

Decision support for assessment of left ventricular diastolic function

Journal

PHYSIOLOGICAL REPORTS
Volume 6, Issue 16, Pages -

Publisher

WILEY
DOI: 10.14814/phy2.13815

Keywords

Diastolic function; echocardiography; left ventricular function

Categories

Funding

  1. Swedish Society of Medicine [SLS-403931]
  2. ALF Grants, Region Ostergotland [LIO-602421]

Ask authors/readers for more resources

Echocardiographic assessment of the left ventricular diastolic function (LVDF), an integrated part of evaluation of left ventricular function is still a delicate task and is performed with substantial inter-rater variability. Therefore, we aimed to create and evaluate a guidelines-based automated decision support. An algorithm was created for a hierarchical analysis of LVDF based on variables as recommended by the latest guidelines. Age-adjusted normal ranges were pooled from previously published studies into an integrated reference table. For proof-of-concept, 20 echocardiographic examinations were analyzed offline by four experienced physicians with more than 10 years of echocardiographic experience. The first assessments were to be performed as they would be in the clinical practice. Six months later, the assessments were repeated based on the 2017 ASE/EACVI guidelines. The overall inter-rater agreement for the first clinical assessments was moderate, while the guidelines-based assessments had only fair inter-rater agreement. Both kinds of manual assessment had poor agreement with the standardized automated assessment algorithm of LVDF. In conclusion, the presented automated decision support for evaluation of diastolic LV function by Doppler echocardiography is mainly based on current guidelines involving multiple parameters in combination. Incorporating age dependency aspects in our program (available for use at https://liu.se/en/research/left-ventricular-diastolic-function-decision-support) enhances the accuracy of the evaluation and reduces variability in evaluation of LVDF. The large inter-rater variation in classification in this study also underscores the usefulness of tools to support a standardized evaluation.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.0
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available