Publication Date



The Texas Heart Journal



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PubMedCentral® Posted Date


PubMedCentral® Full Text Version


Published Open-Access



Blood pres-sure, cardiovascular diseases/etiology, diagnostic techniques, cardiovas-cular, echocardiography/standards, heart failure/diagnosis/physiopathology/statistics & numerical data, heart function tests/methods, heart valve diseases/complications, hypertension, pulmonary, natriuretic peptide, brain, predictive value of tests, pulmonary wedge pressure, stroke volume, ventricular function, left/diagnosis/ultrasonography, ventricular remodeling


In this study, we established a new index by combining several echocardiographic parameters to quantify heart failure. We selected 233 consecutive patients who underwent both echocardiographic and plasma B-type natriuretic peptide (BNP) tests within 24 hours after referral for suspected heart failure. The echocardiographic parameters included systolic function, diastolic function, left ventricular chamber remodeling, valvular lesions, systolic pulmonary arterial pressure, and regional wall-motion abnormality. Each factor was scored from 1 to 3 points according to its severity. The total point from these 6 factors is the echocardiographic multi-parameter score (EMPS).

The EMPS for 37, 51, 77, and 38 patients from New York Heart Association (NYHA) functional classes I, II, III, and IV, respectively, were 1.24 ± 1.25, 2.98 ± 1.83, 5.96 ± 2.38, and 7.21 ± 1.99, which were significantly different from the mean score of our 30 normal patients (P <0.001). Sensitivity, specificity, and accuracy of an EMPS ≥2 for diagnosis of NYHA classes II to IV were 93%, 83%, and 89%, respectively. The area under the receiver operating characteristic curve was 0.94 (95% confidence interval, 0.92–0.98; P <0.001). There were significant correlations between logBNP and EMPS (r=0.81, P <0.001) or Tei index (r=0.48, P <0.001). In multilinear regression analysis, EMPS, early/late transmitral flow, and peak systolic velocity from tissue Doppler were entered into the model (P <0.001). The standardized regression coefficient (r=0.68) of EMPS was much higher than those of the other 2 factors, which suggests that EMPS is a powerful predictor of BNP levels.



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