| Literature DB >> 26187523 |
Luigi F M Di Martino1, Wim B Vletter2, Ben Ren2, Carl Schultz2, Nicolas M Van Mieghem2, Osama I I Soliman3,4, Matteo Di Biase1, Peter P de Jaegere2, Marcel L Geleijnse5.
Abstract
Significant paravalvular leakage (PVL) after transcatheter aortic valve implantation (TAVI) is related to patient mortality. Predicting the development of PVL has focused on computed tomography (CT) derived variables but literature targeting CoreValve devices is limited, controversial, and did not make use of standardized echocardiographic methods. The study included 164 consecutive patients with severe aortic stenosis that underwent TAVI with a Medtronic CoreValve system©, with available pre-TAVI CT and pre-discharge transthoracic echocardiography. The predictive value for significant PVL of the CT-derived Agatston score, aortic annulus size and eccentricity, and "cover index" was assessed, according to both echocardiographic Valve Academic Research Consortium (VARC) criteria and angiographic Sellers criteria. Univariate predictors for more than mild PVL were the maximal diameter of the aortic annulus size (for both angiographic and echocardiographic assessment of PVL), cover index (for echocardiographic assessment of PVL only), and Agatston score (for both angiographic and echocardiographic assessment of PVL). The aortic annulus eccentricity index was not predicting PVL. At multivariate analysis, Agatston score was the only independent predictor for both angiographic and echocardiographic assessment of PVL. Agatston score is the only independent predictor of PVL regardless of the used imaging technique for the definition of PVL.Entities:
Keywords: Aortic valve; Computed tomography; Echocardiography; Paravalvular leakage; TAVI; Transcatheter
Mesh:
Year: 2015 PMID: 26187523 PMCID: PMC4572040 DOI: 10.1007/s10554-015-0703-1
Source DB: PubMed Journal: Int J Cardiovasc Imaging ISSN: 1569-5794 Impact factor: 2.357
Fig. 3Examples from two patients with low and high Agatston score, respectively and corresponding colour Doppler short-axis views of paravalvular leak on 2D echocardiography
Clinical characteristics of the study population
| Feature | Value |
|---|---|
| Age (years), median (IQR) | 81 (78–85) |
| Male, n (%) | 87 (54) |
| New York Heart Association class ≥III, n (%) | 132 (81) |
| Previous cerebrovascular event, n (%) | 39 (24) |
| Previous myocardial infarction, n (%) | 39 (24) |
| Previous coronary artery bypass graft surgery, n (%) | 49 (30) |
| Previous percutaneous coronary intervention, n (%) | 44 (27) |
| Diabetes mellitus, n (%) | 43 (27) |
| Hypertension, n (%) | 98 (60) |
| Peripheral vascular disease, n (%) | 19 (12) |
| Chronic obstructive pulmonary disease, n (%) | 43 (27) |
| Laboratory results | |
| Creatinine (umol/l), median (IQR) | 93 (74–118) |
| Haemoglobin (g/dl), median (IQR) | 7.7 (7.1–8.4) |
| Logistic euroscore, median (IQR) | 13 (10–21) |
| Mean aortic pressure gradient (mmHg), mean ± SD | 43 ± 15 |
| Aortic valve area (cm2), mean ± SD | 0.7 ± 0.2 |
Category correlation for interobserver variability in VARC score in a subset of 50 random patients: weighted κ = 0.86 (0.66–0.93)
| Observer 1 | |||||
|---|---|---|---|---|---|
| Grade | 0 | +1 | +2 | +3 | Total |
| Observer 2 | |||||
| 0 | 19 | 1 | 0 | 0 | 20 |
| +1 | 0 | 12 | 2 | 0 | 14 |
| +2 | 0 | 2 | 11 | 1 | 14 |
| +3 | 0 | 0 | 1 | 1 | 2 |
| Total | 19 | 15 | 14 | 2 | 50 |
0 = none, 1 = mild, 2 = moderate, 3 = severe
Category correlation for interobserver variability in Sellers’ score in a subset of 50 random patients: weighted κ = 0.90 (0.74–0.99)
| Observer 1 | ||||||
|---|---|---|---|---|---|---|
| Grade | 0 | +1 | +2 | +3 | +4 | Total |
| Observer 2 | ||||||
| 0 | 5 | 0 | 0 | 0 | 0 | 5 |
| +1 | 0 | 11 | 1 | 0 | 0 | 14 |
| +2 | 0 | 2 | 26 | 0 | 0 | 14 |
| +3 | 0 | 0 | 1 | 4 | 0 | 5 |
| +4 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 5 | 13 | 28 | 4 | 0 | 50 |
Fig. 1Distribution of VARC-2 scores according to the VARC-2 categories
Fig. 2Correlation between angiographic Sellers grading and continuous value of VARC-2 scores for the assessment of paravalvular leakage
Prediction of aortic paravalvular leakage as assessed by echocardiography (VARC-2) and angiography (Sellers)
| Predictor | Echocardiographic VARC-2 score | Angiographic Sellers score | ||||
|---|---|---|---|---|---|---|
| None or mild n = 111 | More than mild n = 53 |
| None or mild n = 51 | More than mild n = 113 |
| |
| Maximal annulus diameter, mm | 27.2 ± 2.5 | 28.1 ± 2.4 | 0.039 | 26.7 ± 2.3 | 27.9 ± 2.6 | 0.006 |
| Cover index (%) | 14.0 (10.3–17.3) | 12.6 (8.6–16.4) | 0.204 | 14.4 (11.8–18.2) | 12.6 (9.6–15.1) | 0.007 |
| Eccentricity index (%) | 20.4 ± 6.7 | 20.9 ± 6.4 | 0.644 | 20.5 ± 6.4 | 20.6 ± 6.7 | 0.939 |
| Agatston score | 2596 (1782–4034) | 3952 (2528–5071) | 0.001 | 2123 (1477–2777) | 3346 (2363–4886) | <0.001 |
Correlations between predictors for aortic paravalvular leakage and actual paravalvular leakage as assessed by echocardiography (VARC-2) and angiography (Sellers)
| Predictor | VARC-2 score | Angiography score | ||
|---|---|---|---|---|
| ρ value |
| ρ value |
| |
| Maximal annulus diameter | 0.210 | 0.003 | 0.178 | 0.005 |
| Cover index | –0.134 | 0.043 | –0.143 | 0.019 |
| Eccentricity index | 0.030 | 0.350 | 0.036 | 0.303 |
| Agatston score | 0.305 | <0.001 | 0.395 | <0.001 |