Aims We aimed to investigate the role of aortic valve tissue composition from quantitative cardiac computed tomography angiography (CTA) in patients with severe aortic stenosis (AS) for the differentiation of disease subtypes and prognostication after transcatheter aortic valve implantation (TAVI). Methods and results Our study included 447 consecutive AS patients from six high-volume centres reporting to a prospective nationwide registry of TAVI procedures (POL-TAVI), who underwent cardiac CTA before TAVI, and 224 matched controls with normal aortic valves. Components of aortic valve tissue were identified using semi-automated software as calcific and non-calcific. Volumes of each tissue component and composition [(tissue component volume/total tissue volume) × 100%] were quantified. Relationship of aortic valve composition with clinical outcomes post-TAVI was evaluated using Valve Academic Research Consortium (VARC)-2 definitions. High-gradient (HG) AS patients had significantly higher aortic tissue volume compared to low-flow low-gradient (LFLG)-AS (1672.7 vs. 1395.3 mm3, P < 0.001) as well as controls (509.9 mm3, P < 0.001), but increased non-calcific tissue was observed in LFLG compared to HG patients (1063.6 vs. 860.2 mm3, P < 0.001). Predictive value of aortic valve calcium score [area under the curve (AUC) 0.989, 95% confidence interval (CI): 0.981–0.996] for severe AS was improved after addition of non-calcific tissue volume (AUC 0.995, 95% CI: 0.991–0.999, P = 0.011). In the multivariable analysis of clinical and quantitative computed tomography parameters of aortic valve tissue, non-calcific tissue volume [odds ratio (OR) 5.2, 95% CI 1.8–15.4, P = 0.003] and history of stroke (OR 2.6, 95% CI 1.1–6.5, P = 0.037) were independent predictors of 30-day major adverse cardiovascular event (MACE). Conclusion Quantitative CTA assessment of aortic valve tissue volume and composition can improve detection of severe AS, differentiation between HG and LFLG-AS in patients referred for TAVI as well as prediction of 30-day MACEs post-TAVI, over the current clinical standard.

Introduction Bleeding complications after transcatheter aortic valve implantation (TAVI) are an important issue and negatively affect survival. The rate and impact of protamine sulfate (PS) administration on bleeding complications after TAVI remain unclear. Aim To assess the impact of PS on bleeding complications after TAVI. Material and methods Between March 2010 and November 2016 two hundred fifty-eight patients qualified for TAVI in one academic center were screened. Baseline, procedural and follow-up data up to 30 days were collected and analyzed. The primary endpoint (PE) was major bleeding according to the Valve Academic Research Consortium up to 48 h after the procedure. Results Overall, 186 patients (96 females, mean age: 80 years) met the inclusion criteria. Thirty-nine (21%) subjects received PS. PE occurred in 24.7% of the study population. There were no significant differences in terms of the PE rate between the groups (25.6% in the PS group and 24.7% in the remaining cohort, p = 0.9, odds ratio (OR) = 1.05, confidence interval (CI): 0.47–2.4, p = 0.9). Multivariate analysis identified female gender (OR = 2.2, CI: 1.08–4.4, p = 0.03) as an independent predictor of PE occurrence. Similarly, female gender (OR = 2, CI: 1.06–3.84, p = 0.03) as well as general anesthesia (GA, OR = 2.23, CI: 1.13–4.63, p = 0.02) and dose of unfractionated heparin per kilogram (UFH/kg, OR = 1.02, CI: 1–1.03 per 1 IU increment, p = 0.02) predicted the occurrence of a composite of major and minor bleeding. Conclusions In this analysis, PS administration did not decrease the PE rate. Female gender predicted PE occurrence. Randomized, placebo-controlled trials are required to accurately assess the impact of PS.

Transcatheter aortic valve implantation (TAVI) is a recent revolutionary treatment for high-risk patients with severe aortic stenosis who are not suitable for surgery, expanding to intermediate and low-risk patients. Valve leaflet thrombosis (LT) is a potentially fatal complication after TAVI. The incidence of subclinical LT is as high as 25% among patients in the first year after TAVI. Subclinical LT may evolve into symptomatic thrombosis or lead to premature bioprosthesis degeneration, increasing the risk of neurological complications. Because imaging-based methods have limited sensitivity to detect subclinical LT, there is an urgent need for predictors and biomarkers that would make it possible to predict LT after TAVI. Here, we summarize recent data regarding (i) patient-related, (ii) procedure-related, (iii) blood-based and (iv) imaging predictors and biomarkers which might be useful for the early diagnosis of subclinical LT after TAVI. Prevention of LT might offer an opportunity to improve risk stratification and tailor therapy after TAVI.

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