Literature DB >> 29178212

Evolution of diastolic function algorithms: Implications for clinical practice.

Matthew F Gottbrecht1,2, Michael Salerno2,3,4, Gerard P Aurigemma1.   

Abstract

OBJECTIVE: We undertook this study of echocardiographic classification of diastolic function by three different algorithms to determine: (1) how frequently each algorithm classified patients and (2) how well the results agreed with one another.
BACKGROUND: Several algorithms exist to grade diastolic function (DF), the Mayo Clinic scheme of Redfield et al (Mayo 2003) and the 2 ASE guideline documents of 2009 and 2016 (ASE 2009 and ASE 2016).
METHODS: A total of 200 consecutive echocardiograms were retrospectively analyzed; mean age of patients 60.3 ± 3.5 years, 45% male. Echocardiograms were performed using Intersocietal Accreditation Commission guidelines. Diastolic function was assessed by Mayo 2003 and ASE 2009 and 2016. Coexisting conditions affecting DF analysis, such as mitral annular calcification (MAC), were tabulated. Data were compared using a paired t-test. Concordance between algorithms was assessed using the Kappa statistic.
RESULTS: A total of 117 of 200 studies (58.5%) were excluded for the presence of coexisting conditions (51.5%), poor image quality (2.5%), or incomplete data (4.5%). Thirty-three of the remaining 83 studies (40%) received the same grade of DF based on assessments made using the Mayo 2003 and ASE 2016 algorithms; the Kappa statistic was 0.20. 36 of the 83 studies (43%) received the same grade of DF based on assessments made using the ASE 2009 and ASE 2016 algorithms; the Kappa statistic was 0.25.
CONCLUSION: Assessment of diastolic function via echocardiography cannot be reliably accomplished in approximately 50% of patients using current guidelines. Further, when studies are suitable for assessment, widely used guidelines yield discordant results.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  diastolic dysfunction; echocardiography; guidelines; mitral annular calcification; tissue Doppler

Mesh:

Year:  2017        PMID: 29178212     DOI: 10.1111/echo.13746

Source DB:  PubMed          Journal:  Echocardiography        ISSN: 0742-2822            Impact factor:   1.724


  3 in total

1.  Decision support for assessment of left ventricular diastolic function.

Authors:  Éva Tamás; Eva Nylander
Journal:  Physiol Rep       Date:  2018-08

Review 2.  Left Ventricular Diastolic Dysfunction in Type 2 Diabetes-Progress and Perspectives.

Authors:  Elena-Daniela Grigorescu; Cristina-Mihaela Lacatusu; Mariana Floria; Bogdan-Mircea Mihai; Ioana Cretu; Laurentiu Sorodoc
Journal:  Diagnostics (Basel)       Date:  2019-09-17

3.  Diastolic dysfunction and mortality in 436 360 men and women: the National Echo Database Australia (NEDA).

Authors:  David Playford; Geoff Strange; David S Celermajer; Geoffrey Evans; Gregory M Scalia; Simon Stewart; David Prior
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2021-04-28       Impact factor: 6.875

  3 in total

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