1. Mitral Annular Plane Systolic Excursion as a Surrogate for Left Ventricular Ejection Fraction
- Author
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Gila Perk, Itzhak Kronzon, Jason Matos, and Georgia Panagopoulos
- Subjects
Adult ,Male ,medicine.medical_specialty ,Adolescent ,Systole ,Sensitivity and Specificity ,Ventricular Dysfunction, Left ,Predictive Value of Tests ,Internal medicine ,medicine ,Humans ,Cutoff ,Radiology, Nuclear Medicine and imaging ,Aged ,Retrospective Studies ,Aged, 80 and over ,Ejection fraction ,medicine.diagnostic_test ,Ventricular function ,business.industry ,Excursion ,Stroke Volume ,Magnetic resonance imaging ,Retrospective cohort study ,Middle Aged ,Magnetic Resonance Imaging ,Echocardiography ,Predictive value of tests ,Cohort ,Cardiology ,Mitral Valve ,Regression Analysis ,Female ,Cardiology and Cardiovascular Medicine ,business ,Algorithms - Abstract
Assessing left ventricular function is a common indication for echocardiography. It generally requires expert echocardiographer estimation and is somewhat subjective and prone to reader discordance. Mitral annular plane systolic excursion (MAPSE) has been suggested as a surrogate measurement for left ventricular function. The aim of this study was to examine the accuracy of MAPSE for predicting left ventricular ejection fraction (EF) on the basis of a large cohort of consecutive echocardiograms.The study design was a retrospective analysis of 600 two-dimensional echocardiographic studies performed in a single laboratory. MAPSE measurement was performed by an untrained observer and compared with the EF as determined by an expert echocardiographer. The first 300 studies served as a calibration cohort to establish an algorithm for predicting EF on the basis of MAPSE measurement. The following 300 studies served as a verification cohort to test the accuracy of the established algorithm.Using the first 300 studies, an algorithm was developed to predict EF. Cutoff values for normal EF (≥11 mm for women and ≥13 mm for men) and severely reduced EF (6 mm for men and women) were identified. For the intermediate-range MAPSE values, a gender-specific regression equation was calculated to generate a predicted EF. Using this algorithm, predicted EFs were determined for the 300 patients in the verification cohort. By comparing the predicted EF and the expert-reported EF, positive and negative predictive values, sensitivity (73%-92%), specificity (81%-100%), and accuracy (82%-86%) of MAPSE for predicting EF were calculated.MAPSE measurement by an untrained observer was found to be a highly accurate predictor of EF.
- Published
- 2012