P1480Left atrial strain improves estimation of left ventricular filling pressure

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
F H Khan ◽  
O S Andersen ◽  
E Gude ◽  
H Skulstad ◽  
O A Smiseth ◽  
...  

Abstract Background The current algorithm in the 2016 recommendations for echocardiographic estimation of left ventricular filling pressure (LVFP) as normal or elevated, combines traditional indices of mitral inflow velocities, tissue Doppler, left atrial volume and tricuspid regurgitation velocity (Figure A). Some of the patients remain unclassified by this algorithm. Left atrial (LA) strain is a novel index that correlates well with LVFP and may improve estimation of LVFP in these patients. Purpose We tested if LA strain can improve estimation of LVFP for the patients that are unclassified by the 2016 algorithm. Methods We analyzed data from 100 patients who were referred to right heart catheterization due to unexplained dyspnea or suspected heart failure. Echocardiography was performed simultaneously with or within 24 hours of right heart catheterization. Pulmonary capillary wedge pressure (PCWP) was used as an estimate for LVFP and defined as elevated if above 12 mmHg. Elevated LVFP was first estimated using the 2016 algorithm. In patients who were unclassified by the algorithm due to conflicting indices or unattainable indices, LA strain was subsequently used to detect elevated LVFP using a cut-off found from ROC analysis of the whole cohort. Results Six patients were unclassified by the 2016 algorithm. The ROC analysis of all 100 patients showed that at an LA strain cut-off of above or below 16.2%, LVFP was correctly classified as normal or elevated, respectively, with a sensitivity of 83% and specificity of 88%. All 6 unclassified patients by the 2016 algorithm were correctly classified using the LA strain cut-off, effectively increasing the accuracy of the algorithm by 6 percentage points. Conclusions LA strain may have a role in non-invasive estimation of LVFP, particularly in patients who remain unclassified when using the conventional echocardiographic indices. Acknowledgement/Funding South-Eastern Norway Regional Health Authority

2015 ◽  
Vol 21 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Matteo Cameli ◽  
Giulia Elena Mandoli ◽  
Ferdinando Loiacono ◽  
Frank Lloyd Dini ◽  
Michael Henein ◽  
...  

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