{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T12:27:00Z","timestamp":1748003220506,"version":"3.37.3"},"reference-count":49,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2017,8,22]],"date-time":"2017-08-22T00:00:00Z","timestamp":1503360000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Echocardiography"],"published-print":{"date-parts":[[2017,9]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>Mitral regurgitation (MR) grading by two\u2010dimensional 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\u2010to\u2010use index will be helpful for standardized and reproducible MR grading.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>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 (<jats:italic>ROSE\u2010index<\/jats:italic>). The best cutoff with corresponding predictive values was determined.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Eighty\u2010two 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 <jats:italic>ROSE\u2010index<\/jats:italic> score for moderate (2.0) and severe MR (5.0) did significantly differ. The cutoff score (\u22654) revealed sensitivity 0.84 and specificity 0.83 to diagnose severe MR. Negative predictive value was 100% for score 0 and 1; score 6\u20138 showed a 100% positive predictive value. Inter\u2010 and intra\u2010observer agreements were excellent (<jats:italic>K<\/jats:italic>\u2010values &gt;0.80).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Here, we propose an easy\u2010to\u2010use tool for integrated analysis of guideline parameters to assess MR severity. Using this so\u2010called <jats:italic>ROSE\u2010index<\/jats:italic> revealed reliable and reproducible assessment of severe MR (cutoff\u22654) that may be helpful for clinical decision making.<\/jats:p><\/jats:sec>","DOI":"10.1111\/echo.13636","type":"journal-article","created":{"date-parts":[[2017,8,23]],"date-time":"2017-08-23T03:20:55Z","timestamp":1503458455000},"page":"1275-1283","source":"Crossref","is-referenced-by-count":4,"title":["An easy\u2010to\u2010use scoring index to determine severity of mitral regurgitation by 2D echocardiography in clinical practice"],"prefix":"10.1111","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4832-363X","authenticated-orcid":false,"given":"Rosemarijn","family":"Jansen","sequence":"first","affiliation":[{"name":"Department of Cardiology University Medical Center Utrecht  Utrecht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Einar A.","family":"Hart","sequence":"additional","affiliation":[{"name":"Department of Cardiology University Medical Center Utrecht  Utrecht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"Peters","sequence":"additional","affiliation":[{"name":"Department of Radiotherapy University Medical Center Utrecht  Utrecht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kim","family":"Urgel","sequence":"additional","affiliation":[{"name":"Department of Cardiology Amphia Hospital Breda  Breda The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jolanda","family":"Kluin","sequence":"additional","affiliation":[{"name":"Department of Cardiothoracic Surgery Academic Medical Center Amsterdam  Amsterdam The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wouter J.","family":"Tietge","sequence":"additional","affiliation":[{"name":"Department of Cardiology Diaconessenhuis Hospital Leiden  Leiden The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koen","family":"Zwart","sequence":"additional","affiliation":[{"name":"Department of Cardiology University Medical Center Utrecht  Utrecht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kirsten C.","family":"Sybrandy","sequence":"additional","affiliation":[{"name":"Department of Cardiology St. Jansdal Hospital Harderwijk  Harderwijk The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maarten J. 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