Yeo's index: A novel index that combines anatomic and haemodynamic assessment of the severity of mitral stenosis

被引:4
作者
Leow, Ryan [1 ]
Kong, William K. F. [2 ,3 ]
Li, Tony Yi-Wei [4 ]
Poh, Kian-Keong [5 ,6 ]
Sia, Ching-Hui [5 ,6 ]
Yeo, Tiong-Cheng [5 ,6 ,7 ]
机构
[1] Natl Univ Heart Ctr Singapore NUHCS, Dept Cardiol, Singapore, Singapore
[2] Natl Univ Singapore NUS, NUHCS, Dept Cardiol, Singapore, Singapore
[3] Natl Univ Singapore NUS, Yong Loo Lin Sch Med YLLSoM, Dept Med, Singapore, Singapore
[4] NUHCS, Dept Cardiol, Singapore, Singapore
[5] NUS, NUHCS, Dept Cardiol, Singapore, Singapore
[6] NUS, YLLSoM, Dept Med, Singapore, Singapore
[7] Natl Univ Heart Ctr, Dept Cardiol, 1E Kent Ridge Rd,Tower Block,Level 9, Singapore 119228, Singapore
关键词
Mitral stenosis; Rheumatic heart disease; Mitral leaflet separation index; Yeo's index; PRESSURE HALF-TIME; LEAFLET SEPARATION INDEX; SURFACE-AREA METHOD; VALVE AREA; CONTINUITY EQUATION; VALIDATION; ECHOCARDIOGRAPHY; COMMISSUROTOMY; DOPPLER;
D O I
10.1016/j.ijcard.2023.131350
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: A mitral leaflet separation index (MLSI), measuring the anatomical separation of the mitral valve (MV) leaflet tips in diastole, was previously described as an accurate method of assessing mitral stenosis (MS). We propose a novel modification of the MLSI by including a hemodynamic assessment which we term Yeo's index that may improve its diagnostic performance. Methods and results: We retrospectively studied 174 patients with varying severity of MS without significant mitral regurgitation, aortic valve disease or ventricular septal defect. MLSI was measured in 2 orthogonal views on transthoracic echocardiography as previously described. MV dimensionless index (DI) was calculated by dividing the left ventricular outflow tract pulsed-wave Doppler time velocity integral (TVI) by the MV continuous-wave Doppler TVI. We defined Yeo's index as the product of MLSI and DI. With linear correlation, Yeo's index demonstrated good correlation against MVA by planimetry (r = 0.728), pressure half-time (r = 0.677), and continuity equation (r = 0.829), with improved performance over the MLSI. Using ROC analysis, Yeo's index demonstrated good ability to correctly classify MS as severe (MVA <= 1.5cm2) (AUC 0.874, 95% CI 0.816-0.920). Yeo's index <= 0.260 cm correctly classified severe MS with sensitivity of 82% and specificity of 80%. Presence of AF did not affect the performance of Yeo's index. Yeo's index <= 0.147 cm also identified very severe MS (MVA <= 1.0 cm2) with specificity of 94% and sensitivity of 78%. Conclusion: Yeo's index performed well in identifying severe MS and may be a useful adjunct to existing measures of MS severity.
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页数:6
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