Why the study?
Does the ROSE-index accurately determine the severity of mitral regurgitation compared to expert panel consensus in patients with moderate or severe MR?
Does the ROSE-index accurately determine the severity of mitral regurgitation compared to expert panel consensus in patients with moderate or severe MR?
The ROSE-index provides a simple, reproducible scoring system using five standard echocardiographic parameters to accurately grade mitral regurgitation severity, facilitating the integrative approach recommended by guidelines.
Offers a simplified, integrative echocardiographic tool to grade MR severity; leaves open whether prospective validation.
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.
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Jansen et al. (2017) studied this question.
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