An easy-to-use scoring index to determine severity of mitral regurgitation by 2D echocardiography in clinical practice

Rosemarijn Jansen, Einar A. Hart, Max Peters, Kim Urgel, Jolanda Kluin, Wouter J. Tietge, Koen Zwart, Kirsten C. Sybrandy, Maarten J. M. Cramer, Steven A. J. Chamuleau

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Abstract

Purpose: Mitral regurgitation (MR) grading by two-dimensional transthoracic echocardiography is challenging, but important to determine the best treatment strategy in patients with MR. Current guidelines advocate an integrative approach, although no recommendation is provided on how to do so. An easy-to-use index will be helpful for standardized and reproducible MR grading. Methods: Eleven echocardiographic parameters were retrospectively evaluated in 145 patients with moderate or severe MR. Parameters were scored positive or negative for severe MR, where expert panel consensus reading was considered as the reference standard. Logistic regression was performed, and adjusted coefficients were used to create a risk score for severe MR per patient (ROSE-index). The best cutoff with corresponding predictive values was determined. Results: Eighty-two percent of all parameters could be determined. Multivariable analysis revealed five parameters that remained significant predictors for severe MR: morphology, jet characteristics, vena contracta, systolic reversal, and left ventricular dimensions. With different weighing, a total score of 8 could be obtained. Median total ROSE-index score for moderate (2.0) and severe MR (5.0) did significantly differ. The cutoff score (>= 4) revealed sensitivity 0.84 and specificity 0.83 to diagnose severe MR. Negative predictive value was 100% for score 0 and 1; score 6-8 showed a 100% positive predictive value. Inter-and intra-observer agreements were excellent (K-values >0.80). Conclusion: Here, we propose an easy-to-use tool for integrated analysis of guideline parameters to assess MR severity. Using this so-called ROSE-index revealed reliable and reproducible assessment of severe MR (cutoff >= 4) that may be helpful for clinical decision making
Original languageEnglish
Pages (from-to)1275-1283
JournalEchocardiography (Mount Kisco, N.Y.)
Volume34
Issue number9
Early online date2017
DOIs
Publication statusPublished - 2017

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