Copyright
©The Author(s) 2017.
World J Cardiol. Aug 26, 2017; 9(8): 693-701
Published online Aug 26, 2017. doi: 10.4330/wjc.v9.i8.693
Published online Aug 26, 2017. doi: 10.4330/wjc.v9.i8.693
Lesion | n | Mean gradient (mmHg) | Agreement to: ≤ 15 mmHg | ≤ 10 mmHg | ≤ 5 mmHg | r |
Pulmonary stenosis | ||||||
PS (all) | 563 | 42 ± 28 | 82% | 70% | 49% | 0.85 |
Valvar PS | 313 | 36 ± 22 | 89% | 77% | 56% | 0.85 |
Complex PS | 250 | 49 ± 32 | 72% | 61% | 40% | 0.84 |
PVR | 81 | 48 ± 25 | 84% | 65% | 42% | 0.86 |
Aortic stenosis | ||||||
AS (all) | 234 | 38 ± 24 | 81% | 71% | 49% | 0.8 |
Valvar AS | 112 | 42 ± 24 | 77% | 68% | 46% | 0.76 |
Complex AS | 122 | 34 ± 23 | 85% | 75% | 52% | 0.85 |
AVR | 34 | 46 ± 22 | 71% | 65% | 38% | 0.71 |
Ventricular septal defect | ||||||
VSD | 396 | 83 ± 31 | 70% | 60% | 36% | 0.82 |
- Citation: Kadle RL, Phoon CKL. Estimating pressure gradients by auscultation: How technology (echocardiography) can help improve clinical skills. World J Cardiol 2017; 9(8): 693-701
- URL: https://www.wjgnet.com/1949-8462/full/v9/i8/693.htm
- DOI: https://dx.doi.org/10.4330/wjc.v9.i8.693