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Prevalence of left ventricular systolic dysfunction by single echocardiographic view: towards an evidence-based point of care cardiac ultrasound scanning protocol.

Authors :
Luong, Christina
Saboktakin Rizi, Shekoofeh
Gin, Kenneth
Jue, John
Yeung, Darwin F.
Tsang, Michael Y. C.
Sayre, Eric C.
Tsang, Teresa S. M.
Source :
International Journal of Cardiovascular Imaging; Apr2022, Vol. 38 Issue 4, p751-758, 8p
Publication Year :
2022

Abstract

Limited views are often obtained in the setting of cardiac ultrasound, however, the likelihood of missing left ventricular (LV) dysfunction based on a single view is not known. We sought to determine the echo views that were least likely to miss LV systolic dysfunction in consecutive transthoracic echocardiograms (TTEs). Structured data from TTEs performed at 2 hospitals from September 25, 2017, to January 15, 2019, were screened. Studies of interest were those with reported LV dysfunction. Views evaluated were the parasternal long-axis (PLAX), parasternal-short axis at mitral (PSAX M), papillary muscle (PSAX PM), and apical (PSAX A) levels, apical 2 (AP2), apical 3 (AP3), and apical 4 (AP4) chamber views. The probability that a view contained at least 1 abnormal segment was determined and analyzed with McNemar's test for 21 adjusted pair-wise comparisons. There were 4102 TTE studies included for analysis. TTEs on males comprised 72.7% of studies with a mean LV ejection fraction of 42.8 ± 9.7%. The echo view with the greatest likelihood of encompassing an abnormal segment was the AP2 view with a prevalence of 93.4% (p < 0.001, compared to all other views). The PLAX view performed the worst with a prevalence of 82.5% (p < 0.015, compared to all other views). The best parasternal view for the detection of abnormality was the PSAX PM view at 90.4%. In conclusions, a single echo view will contain abnormal segments > 82% of the time in the setting of LV systolic dysfunction, with a prevalence of up to 93.4% in the apical windows. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15695794
Volume :
38
Issue :
4
Database :
Complementary Index
Journal :
International Journal of Cardiovascular Imaging
Publication Type :
Academic Journal
Accession number :
156499860
Full Text :
https://doi.org/10.1007/s10554-021-02460-4