Percutaneous paravalvular leak closure after transcatheter aortic valve implantation: the international PLUGinTAVI Registry

Paravalvular leak closure after TAVI with plugs: A literature review with a specific focus on arterio-arterial loop

More than mild paravalvular leak (PVL) following transcatheter aortic valve implantation (TAVI) is associated with a twofold increase in all-cause mortality, heart failure hospitalizations, and the need for reintervention. Successfully addressing PVL in TAVIs is more challenging than in surgical valves. The arterial-arterial (A-A) rail technique emerges as a valuable strategy for post-TAVI PVL closure, enhancing success rates by enabling the effective use of lower-profile vascular plug devices. When standard approach is ineffective, generating an A-A loop for post-TAVI PVL closure is probably the most recommended strategy to ensure procedural success.

Transcatheter Paravalvular Leak Closure With Covered Stent Tract and Vascular Plug: Tootsie Roll Technique

BACKGROUND

Transcatheter closure of transcatheter heart valve (THV)-related paravalvular leak (PVL) is associated with a high failure rate with available devices due to the complex interaction of THV and aortic/mitral annulus.

OBJECTIVES

This study reports on novel transcatheter techniques to treat PVL after THV.

METHODS

The authors describe consecutive patients who underwent PVL closure after transcatheter aortic valve replacement (TAVR) or transcatheter mitral valve replacement (TMVR). A covered self-expanding stent (Viabahn) was deployed in the defect to create a seal between the THV and annulus. A vascular plug (Amplatzer Vascular Plug 2 [AVP2] or AVP4) was then deployed inside the covered stent to obliterate PVL.

RESULTS

Eight patients with THV-related PVL were treated using this method (aortic [3 SAPIEN, 1 Evolut], mitral [2 SAPIEN-in-MAC (mitral annular calcification), 2 M3 TMVR). Various combinations of stents and plugs were used (5 mm × 2.5 cm Viabahn + 6 mm AVP4 [n = 2], 8 mm × 2.5 cm Viabahn + 10 mm AVP2 [n = 5], and 10 mm × 5.0 cm Viabahn + 12 mm AVP2 [n = 1]). All had technical success with immediate elimination of target PVL, without in-hospital complications. None had signs of postprocedure hemolysis. All patients were discharged alive (median 3.5 days [Q1-Q3: 1.0-4.8 days]). No residual PVL was seen at discharge, except for 1 patient with mild regurgitation due to another untreated PVL location. One patient died before 30 days due to complication of valve-in-MAC TMVR. In remaining patients, none had recurrence of PVL at 30 days. Symptoms decreased to NYHA functional class I/II in 6 patients. NYHA functional class III symptoms remained in 1 patient with mitral regurgitation awaiting subsequent valve replacement procedure.

CONCLUSIONS

The technique of sequential deployment of a covered stent and vascular plug may effectively treat THV-related PVL.

Long-Term Outcomes of Aortic Stenosis Patients with Different Flow/Gradient Patterns Undergoing Transcatheter Aortic Valve Implantation

Background: Few data exist on the comparative long-term outcomes of severe aortic stenosis (AS) patients with different flow-gradient patterns undergoing transcatheter aortic valve implantation (TAVI). This study sought to evaluate the impact of the pre-TAVI flow-gradient pattern on long-term clinical outcomes after TAVI and assess changes in the left ventricular ejection fraction (LVEF) of different subtypes of AS patients following TAVI. Methods: Consecutive patients with severe AS undergoing TAVI in our institution were screened and prospectively enrolled. Patients were divided into four subgroups according to pre-TAVI flow/gradient pattern: (i) low flow-low gradient (LF-LG): stroke volume indexed (SVi) ≤ 35 mL/m2 and mean gradient (MG) < 40 mmHg); (ii) normal flow-low gradient (NF-LG): SVi > 35 mL/m2 and MG < 40 mmHg; (iii) low flow-high gradient (LF-HG): Svi 35 mL/m2 and MG ≥ 40 mmHg and (iv) normal flow-high gradient (NF-HG): SVi > 35 mL/m2 and MG ≥ 40 mmHg. Transthoracic echocardiography was repeated at 1-year follow-up. Clinical follow-up was obtained at 12 months, and yearly thereafter until 5-year follow-up was complete for all patients. Results: A total of 272 patients with complete echocardiographic and clinical follow-up were included in our analysis. Their mean age was 80 ± 7 years and the majority of patients (N = 138, 50.8%) were women. 62 patients (22.8% of the study population) were distributed in the LF-LG group, 98 patients (36%) were LF-HG patients, 95 patients (34.9%) were NF-HG, and 17 patients (6.3%) were NF-LG. There was a greater prevalence of comorbidities among LF-LG AS patients. One-year all-cause mortality differed significantly between the four subgroups of AS patients (log-rank p: 0.022) and was more prevalent among LF-LG patients (25.8%) compared to LF-HG (11.3%), NF-HG (6.3%) and NF-LG patients (18.8%). At 5-year follow-up, global mortality remained persistently higher among LF-LG patients (64.5%) compared to LF-HG (47.9%), NF-HG (42.9%), and NF-LG patients (58.8%) (log-rank p: 0.029). At multivariable Cox hazard regression analysis, baseline SVi (HR: 0.951, 95% C.I.; 0.918-0.984), the presence of at least moderate tricuspid regurgitation at baseline (HR: 3.091, 95% C.I: 1.645-5.809) and at least moderate paravalvular leak (PVL) post-TAVI (HR: 1.456, 95% C.I.: 1.106-1.792) were significant independent predictors of late global mortality. LF-LG patients and LF-HG patients exhibited a significant increase in LVEF at 1-year follow-up. A lower LVEF (p < 0.001) and a lower Svi (p < 0.001) at baseline were associated with LVEF improvement at 1-year. Conclusions: Patients with LF-LG AS have acceptable 1-year outcomes with significant improvement in LVEF at 1-year follow-up, but exhibit exceedingly high 5-year mortality following TAVI. The presence of low transvalvular flow and at least moderate tricuspid regurgitation at baseline and significant paravalvular leak post-TAVI were associated with poorer long-term outcomes in the entire cohort of AS patients. The presence of a low LVEF or a low SVi predicts LVEF improvement at 1-year.

A Machine Learning Model for the Accurate Prediction of 1-Year Survival in TAVI Patients: A Retrospective Observational Cohort Study

BACKGROUND

predicting the 1-year survival of patients undergoing transcatheter aortic valve implantation (TAVI) is indispensable for managing safe early discharge strategies and resource optimization.

METHODS

Routinely acquired data (134 variables) were used from 629 patients, who underwent transfemoral TAVI from 2012 up to 2018. Support vector machines, neuronal networks, random forests, nearest neighbour and Bayes models were used with new, previously unseen patients to predict 1-year mortality in TAVI patients. A genetic variable selection algorithm identified a set of predictor variables with high predictive power.

RESULTS

Univariate analyses revealed 19 variables (clinical, laboratory, echocardiographic, computed tomographic and ECG) that significantly influence 1-year survival. Before applying the reject option, the model performances in terms of negative predictive value (NPV) and positive predictive value (PPV) were similar between all models. After applying the reject option, the random forest model identified a subcohort showing a negative predictive value of 96% (positive predictive value = 92%, accuracy = 96%).

CONCLUSIONS

Our model can predict the 1-year survival with very high negative and sufficiently high positive predictive value, with very high accuracy. The "reject option" allows a high performance and harmonic integration of machine learning in the clinical decision process.