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一种在临床实践中通过二维超声心动图确定二尖瓣反流严重程度的易用评分指数。

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

作者信息

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

机构信息

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.

Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.

出版信息

Echocardiography. 2017 Sep;34(9):1275-1283. doi: 10.1111/echo.13636. Epub 2017 Aug 22.

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.

摘要

目的

通过二维经胸超声心动图对二尖瓣反流(MR)进行分级具有挑战性,但对于确定MR患者的最佳治疗策略很重要。当前指南提倡采用综合方法,尽管未就如何进行综合评估给出建议。一个易于使用的指标将有助于实现标准化且可重复的MR分级。

方法

对145例中重度MR患者的11项超声心动图参数进行回顾性评估。根据专家小组的共识解读将这些参数针对重度MR评定为阳性或阴性,以此作为参考标准。进行逻辑回归分析,并使用调整系数为每位患者创建重度MR的风险评分(ROSE指数)。确定具有相应预测值的最佳临界值。

结果

所有参数中有82%可以确定。多变量分析显示,有5个参数仍然是重度MR的显著预测指标:形态、血流束特征、反流束宽度、收缩期反流和左心室尺寸。通过不同的加权计算,可获得总分8分。中重度MR的ROSE指数总分中位数(分别为2.0和5.0)存在显著差异。临界值评分(≥4)诊断重度MR的敏感性为0.84,特异性为0.83。评分0和1的阴性预测值为100%;评分6 - 8的阳性预测值为100%。观察者间和观察者内的一致性都非常好(K值>0.80)。

结论

在此,我们提出一种易于使用的工具,用于对指南参数进行综合分析以评估MR严重程度。使用这个所谓的ROSE指数可实现对重度MR(临界值≥4)的可靠且可重复的评估,这可能有助于临床决策。

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