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SYSTEMATIC REVIEW article

Front. Cardiovasc. Med., 26 May 2022
Sec. Structural Interventional Cardiology
This article is part of the Research Topic Bicuspid Aortic Valve: From pathophysiological mechanisms, imaging diagnosis to clinical treatment methods View all 14 articles

Pooled-Analysis of Association of Sievers Bicuspid Aortic Valve Morphology With New Permanent Pacemaker and Conduction Abnormalities After Transcatheter Aortic Valve Replacement

\nJiajun Zhang,,&#x;Jiajun Zhang1,2,3Xiaoxing Li&#x;Xiaoxing Li4Feng Xu,,Feng Xu1,2,3Yuguo Chen,,
Yuguo Chen1,2,3*Chuanbao Li,,
Chuanbao Li1,2,3*
  • 1Department of Emergency Medicine and Chest Pain Center, Cheeloo College of Medicine, Qilu Hospital of Shandong University, Jinan, China
  • 2Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Qilu Hospital of Shandong University, Jinan, China
  • 3Key Laboratory of Cardiovascular Remodeling and Function Research, Qilu Hospital of Shandong University, Jinan, China
  • 4Department of Geriatrics, Qilu Hospital of Shandong University, Jinan, China

Background: Studies on the association of Sievers bicuspid aortic valve (BAV) morphology with conduction disorders after transcatheter aortic valve replacement (TAVR) have not reached consensus.

Methods: We here performed a pooled-analysis to explore whether Sievers type 1 BAV morphology increased the risk of post-TAVR conduction abnormalities and permanent pacemaker implantation (PPI) compared to type 0. Systematic literature searches through EMBASE, Medline, and Cochrane databases were concluded on 1 December 2021. The primary endpoint was post-TAVR new PPI and pooled as risk ratios (RRs) and 95% confidence intervals (CIs). Conduction abnormalities as the secondary endpoint were the composites of post-TAVR PPI and/or new-onset high-degree of atrial-ventricle node block and left-bundle branch block. Studies that reported incidence of outcomes of interest in both type 1 and type 0 BAV morphology who underwent TAVR for aortic stenosis were included.

Results: Finally, nine studies were included. Baseline characteristics were generally comparable, but type 1 population was older with a higher surgical risk score compared to type 0 BAV morphology. In the pooled-analysis type 1 BAV had significantly higher risk of post-TAVR new-onset conduction abnormalities (RR = 1.68, 95%CI 1.09–2.60, p = 0.0195) and new PPI (RR = 1.97, 95%CI 1.29–2.99, p = 0.0016) compared to type 0. Random-effects univariate meta-regression indicated that no significant association between baseline characteristics and PPI.

Conclusion: Sievers type 1 BAV morphology was associated with increased risk of post-TAVR PPI and conduction abnormalities compared to type 0. Dedicated cohort is warranted to further validate our hypothesis.

Introduction

Large randomized-controlled trials have proved the safety and efficacy of transcatheter aortic valve replacement (TAVR) for native tricuspid aortic valve stenosis (1, 2). Nevertheless, the bicuspid aortic valve (BAV) as the most common congenital cardiac anomaly was excluded from the pivotal trials (13). Clinical observations and meta-analyses have demonstrated that patients with BAV stenosis undergoing TAVR had comparable 30-day mortality to patients with tricuspid aortic valve stenosis (4). Observational registry studies evaluating the usefulness of TAVR for bicuspid aortic stenosis showed no statistical difference between surgical aortic valve replacement (SAVR) and TAVR in early mortality; however, the problem of post-procedural conduction abnormalities was tough and unsolved for TAVR (57).

Post-TAVR new-onset conduction disorders like high-degree atrial-ventricle node block (HAVB) and new permanent pacemaker implantation (PPI) were associated with increased adverse events (8). Procedure characteristics, such as lower implantation and oversizing of the implanted valve, are recognized risk factors for conduction abnormalities (9). Nevertheless, the association of Sievers BAV morphology with post-TAVR conduction disorders was controversial and poorly discovered. Ou et al. suggested type 1 BAV morphology as a strong predictor of HAVB (10). In contrast, one pooled-analysis demonstrated no significant difference in the incidence of post-TAVR new PPI between type 1 and type 0 BAV morphology but the primary endpoint of that study was 30-day mortality actually, which spoiled reliability of the conclusion (11). Accordingly, we performed a pooled-analysis focusing on post-TAVR conduction abnormalities and their association with Sievers BAV morphology.

Method

The systematic review and pooled-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (12) and recommendations from Meta-Analyses of Observational Studies in Epidemiology (13).

Search Strategy and Eligibility Criteria

Systematic literature searches through EMBASE, Medline, and Cochrane databases were concluded on December 1, 2021. The search strategy included (1) “transcatheter aortic valve implantation” OR “transcatheter aortic valve replacement” OR “percutaneous aortic” OR “transcatheter aortic valve,” (2) “conduction” OR “block” OR “pacemaker,” (3) “bicuspid,” then combined (1) AND (2) AND (3). A manual search was performed using references in published articles and conferences to identify potentially relevant research.

The search results were screened and viewed in the title and abstract first to identify relevant studies. Case reports and case serials were not qualified for screening. All identified relevant studies were then placed under full-text review to further validate the eligibility.

Based on Population, Intervention, Control, Outcome, and Study Design (PICOS), studies were eligible if they met the following criteria: (1) enrolling BAV population; (2) undergoing TAVR for aortic stenosis; (3) available incidence of post-TAVR PPI or conduction abnormalities in Sievers type 1 and type 0 BAV morphology.

Outcomes of Interest

The primary outcome of interest was post-TAVR new PPI. The occurrence of high-degree atrial-ventricle node block (HAVB) or in some centers left-bundle branch block (LBBB) was an indication for PPI and might be associated with worse outcomes as well (8). We defined conduction abnormalities as the secondary endpoint composite of post-TAVR new PPI and/or new-onset HAVB and LBBB. To avoid repeat counting of HAVB and LBBB who subsequently received a permanent pacemaker, HAVB and LBBB were counted only in absence of reporting PPI or clearly stating the presented HAVB and LBBB were free from PPI. Definitions of outcomes were in line with the Valve Academic Research Consortium (VARC-2).

Specifically, type 1 BAV were further classified according to the location of fused raphe and cusp: L-R, raphe between left- and right-coronary cusp; R-N, raphe between right- and non-coronary cusp; L-N, raphe between left- and non-coronary cusp (14). The event rates across type 1 BAV subtypes were also collected and compared.

Evaluating the Risk of Bias

Considering all included studies were observational, we used Newcastle-Ottawa Scale to assess the quality of included studies. Two authors (JZ and XL) independently completed databases searching and study screening and evaluations. Discrepancies were settled by a third researcher (YC).

Duplicates and data overlap were confirmed by authors information and study start and end time, choices were made based on the evaluation of study quality, time period, and the number of subjects. The PRISMA flowchart is provided in Figure 1.

FIGURE 1
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Figure 1. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart of the present study.

Statistical Analysis

Following statistical analyses were completed on R (version 4.1.3) with Meta package (15). The pooled estimates of outcomes were expressed as risk ratios (RRs) and 95% confidence intervals (CIs) using the Mantel-Haenszel method with random-effects models. A two-tailed p <0.05 was considered statistically significant. Heterogeneity across studies was calculated by I2 and I2 > 50% was deemed unacceptable heterogeneity. Baujat plot and L'Abbé plot were drawn to visualize the origin of heterogeneity. Sensitivity analysis was conducted by removing one or more specific study/studies from the whole collection each time to evaluate the robustness of the pooled results and explore heterogeneity. As observational studies would introduce huge confounding effects and may lead to a biased estimate, we performed a random-effects univariate meta-regression to adjust for the influence of potential effect modifiers. Demographic characteristics and clinical parameters were selected as covariates. Subgroup analyses were performed according to valve type (self-expanded valve, SEV vs. balloon-expanded valve, BEV). The publication bias of each item was examined by funnel plots visually based on the symmetry.

Results

After dedicated literature search and selection, 9 studies were included in the final pooled-analysis (9, 10, 1622). Study quality was evaluated by Newcastle-Ottawa Scale (Table 1) and there was generally a low risk of bias in the included studies. Features of included studies were presented in Table 2.

TABLE 1
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Table 1. Quality assessment of eligible studies by Newcastle–Ottawa scale.

TABLE 2
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Table 2. Overview of the included studies.

The Baseline and Procedural Characteristics Between Sievers Type 1 and Type 0

Generally, demographic characteristics were comparable between type 1 and type 0 BAV morphology; however, there was a relatively higher STS score in type 1 population. Patients across surgical risk profiles were included and most of them were in their 70's and had New York Heart Association functional class> 2. No patient included in the pooled-analysis had prior PPI. During the TAVR procedure pre-dilation was more frequently used in type 0 than type 1. No difference was found between type 1 and type 0 with regard to other procedural characteristics. In the 9 included studies, 4 were SEV-specific (9, 10, 16, 22) and in the other 5 studies both SEV and BEV were used. In the study of Yoon et al., statistically lower proportion of type 1 received SEV compared to type 0 (20), but in the other studies there was no such difference. The detailed characteristics could be found in Tables 3, 4.

TABLE 3
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Table 3. Baseline characteristics of patients with bicuspid aortic stenosis who underwent transcatheter aortic valve replace in the included studies.

TABLE 4
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Table 4. Procedure characteristics of patients with bicuspid aortic stenosis who underwent transcatheter aortic valve replace in the included studies.

Post-TAVR PPI Between Sievers Type 1 and Type 0 Morphology

In the 9 included studies, the endpoint of the study of Ou et al. was solely post-TAVR HAVB rather than new PPI so included in the secondary analysis (10), Guo et al. and Hamdan et al. reported the incidence of composite conduction abnormalities besides new PPI (17, 22), and the other six only reported post-TAVR PPI rates. Therefore, the event rates of post-TAVR PPI between type 1 and type 0 BAV morphology were available in the 8 studies except for Ou et al. The pooled-analysis showed an increased risk of post-TAVR PPI for type 1 BAV morphology than type 0 (RR = 1.97, 95%CI 1.29–2.99, p = 0.0016) (Figure 2). After excluding the study of Yoon et al. as the only one with a significant difference between groups, the direction of pooled estimate was unchanged (RR = 1.81, 95%CI 1.12–2.91, p = 0.0152) which testified the stability of our pooled result (Supplementary Figure 1).

FIGURE 2
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Figure 2. The forest plot of the pooled-analysis comparing post-TAVR permanent pacemaker implantation between Sievers type 1 and type 0 BAV morphology. RR, risk ratio; CI, confidence interval.

Conduction Abnormalities Between Sievers Type 1 and Type 0 BAV Morphology

Figure 3 demonstrated that the risk of post-procedural conduction abnormalities was significantly higher for type 1 BAV morphology compared to type 0 who underwent TAVR (RR = 1.68, 95%CI 1.09–2.60, p = 0.0195). The funnel plot was generally symmetric (Supplementary Figure 2). Notably, there was moderate heterogeneity in the pooled estimate (I2 = 42%, τ2 = 0.1723, p = 0.09). Drawing L'Abbé plot (Figure 4A) and Baujat plot (Figure 4B), we speculated the heterogeneity might be attributed most to the study of Guo et al., followed by Ou et al. Table 5 summarized the pooled estimate and corresponding heterogeneity by excluding the specific study/studies from the whole collection. The study of Yoon et al., as a secondary contributor to heterogeneity, was chosen as a comparator (Figure 4). After excluding Guo et al. and Ou et al., the heterogeneity dropped markedly to zero with direction of the estimate unchanged but additionally excluding Yoon et al. would not further decrease the heterogeneity.

FIGURE 3
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Figure 3. The forest plot of the pooled-analysis comparing post-TAVR conduction abnormalities between Sievers type 1 and type 0 BAV morphology. RR, risk ratio; CI, confidence interval.

FIGURE 4
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Figure 4. Exploring the heterogeneity in the pooled estimate of post-TAVR conduction abnormalities, L'Abbé plot (A) and Baujat plot (B) indicated the greatest contributor to heterogeneity was the study of Guo et al. followed by Ou et al. RR, risk ratio; CI, confidence interval.

TABLE 5
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Table 5. The pooled estimate and heterogeneity by excluding the specific study from the whole collection in the comparison of conduction abnormalities between type 1 and type 0 BAV morphology.

Meta-Regression and Subgroup Analysis

The included observational studies would introduce huge confounding bias due to non-randomization. To adjust for confounding factors and further explore the heterogeneity, we performed random-effects univariate meta-regression and included mean difference of STS score, logarithmic RR of hypertension and diabetes which were statistically different between type 1 and type 0 at baseline in the regression. Age, sex, and New York Heart Association class as general effect modifiers were also included. Nevertheless, the analysis indicated no correlation between effect modifiers and the primary endpoint (Table 6), which might strengthen the reliability of our pooled estimate.

TABLE 6
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Table 6. Meta-regression analysis using potential confounding factors for post-TAVR PPI in the comparison of type 1 BAV to type 0.

In subgroup analysis limited to the SEV, the significance disappeared, and I2surged. In contrast, there is no heterogeneity detected by I2in the subgroup of SEV+BEV and the significance remained (Supplementary Figure 3). We failed to further stratify the analysis by valve generation due to most studies mixed with early- and newer- generations.

Comparison Between Type 1 L-R and Non-L-R

Type 1 L-R was reported to be related with more adverse events. To further explore the relationship between BAV morphology and conduction abnormalities, we compared the event rates between type 1 BAV subtypes. Of the included studies, 4 studies further reported incidence of post-TAVR conduction abnormalities in L-R, N-R, and N-L subtypes of type 1 BAV morphology (9, 10, 16, 17). However, the prevalence of L-N and R-N were relatively low in the included studies, so we combined L-N and R-N as a non-L-R group. Consequently, there were 233 patients with type 1 L-R subtype and 62 patients with non-L-R subtype. The pooled-analysis indicated that type 1 L-R was not associated with more post-TAVR conduction abnormalities at least compared to non-L-R (RR = 1.38, 95% CI 0.73–2.61, p = 0.32) (Figure 5).

FIGURE 5
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Figure 5. The forest plot of the pooled-analysis comparing post-TAVR conduction abnormalities between type 1 BAV morphology L-R and non-L-R subtype. RR, risk ratio; CI, confidence interval.

Discussion

This is the first pooled-analysis that focuses on the association of Sievers BAV morphology with post-TAVR conduction disorders. Our pooled-analysis demonstrated that there was a higher risk of post-TAVR PPI and conduction abnormalities for type 1 BAV morphology than for type 0.

The bicuspid aortic valve as the most common congenital heart disease affects 1~2% of the world population and is the predominant etiology for aortic stenosis in the young population (3). TAVR for tricuspid aortic stenosis has revealed its at-least non-inferiority to SAVR (1, 2) and are approved for BAV stenosis (7); however, previous studies demonstrated BAV stenosis who underwent TAVR suffered significantly higher risk of post procedural new PPI compared to SAVR (57). We failed to further reduce the incidence of post-TAVR PPI to the surgical benchmark for BAV stenosis even with the valve upgraded. Our analysis suggested Sievers BAV morphology might associate with post-TAVR PPI, which would facilitate accurately predicting conduction disorders.

Association of BAV morphology with conduction disorders was poorly discovered and such study was scarce. Current observations only indicated numerically but not a statistically higher incidence of post-TAVR PPI for type 1 BAV morphology than type 0. For example, in the Low Risk Bicuspid Study 22 in 132 type 1 needed PPI but none for type 0 (16). As for events other than PPI, Ou et al. proposed type 1 BAV morphology as an independent predictor of post-TAVR HAVB in the multivariable analysis, pitifully they failed to report the association with pacemakers (10). Kumar et al. reported 18 in 56 patients with type 1 developed new-onset LBBB after TAVR while the number of that for type 0 was 0 in 11 during 30-day follow-up (21). In the study of Shiyovich et al., BAV with raphe (type 1) compared to tricuspid counterparts had significantly increased risk of new-onset LBBB but BAV without raphe (type 0) did not, which supported the association of BAV morphology with conduction disorders in some degree (23).

Different from SAVR resecting the native valve, the valve in TAVR is reserved and has strong interaction with the implanted transcatheter heart valve (24). This could partially explain the association of BAV morphology with conduction abnormalities. Conduction abnormalities might result from injury of the conduction system, especially in the septum and the aortic root area during balloon expanding and valve implantation (8). In the view of mechanics, type 0 without fused raphe is in a relatively symmetric shape leading to less elliptical valve deployment and more symmetric distribution of contact pressure; however, raphe of type 1 might postpone symmetric expansion of implanted valve. Therefore, in the non-fused side of type 1 there was a smaller contact area with stent and resultant higher contact pressure than on the fused (25). Patient-specific simulation study indicated that there was higher contact pressure with the aortic root area in patients who experienced conduction disorders than in those who did not (26). Thus, type 1 BAV with raphe might enhance the contact pressure and increase the probability of conduction system injury.

In another view, there are several recognized risk factors for post-TAVR PPI in the BAV population. Deep implantation and oversizing of implanted valves would increase the chance to injure the conduction system (810, 17). Xiong et al. found that BAV patients complicated with post-TAVR PPI has significantly smaller sino-tubular junction diameter (9). Correspondingly Du et al. in their meta-analysis summarized type 1BAV morphology had smaller sino-tubular junction height and diameter than type 0. Therefore, we presumed valves implanted in type 1 might be relatively deeper and close to the membranous septum due to the smaller height and prone to be oversized due to the smaller diameter, which consequently damaged the conduction issue. For this reason, implantation depth and oversizing ratio as confounding factors should be adjusted but we failed to extract the data and include the factors in the meta-regression. Well-designed cohorts were warranted to further test our theory.

There was moderate heterogeneity in the pooled-analysis comparing the risk of post-TAVR conduction abnormalities between type 1 and 0. L'Abbé plot and Baujat plot indicated that the study of Ou et al. and Guo et al. contributed most to the heterogeneity, and the sensitivity analysis excluding the two showed I2 dropped sharply to zero, which verified their contribution to the heterogeneity. Actually, in the present pooled-analysis, conduction abnormalities were composite of HAVB, LBBB, and/or PPI. Endpoints in studies of Guo et al. and Hamdan et al. were truly composite, but that in the Ou et al. and the other studies were solely new-onset HAVB and post-TAVR PPI, respectively. Differences among the definitions may lead to heterogeneity. Accordingly, we performed the pooled-analysis with a concentration on post-TAVR PPI then set the composite conduction abnormalities as the secondary endpoint, and the pooled estimates of both suggested a higher risk for type 1 BAV morphology with consistency.

According to Sievers classification, type 1 could be further divided into 3 subtypes depending on the fused cups and raphe location, namely L-R, R-N, and L-N (14). Type 1 L-R was reported to be associated with more adverse events than type 1 N-R or N-L (10, 27, 28). Different from the anatomy of R-N and L-N, the non-fused side of type 1 L-R opposite to the fused raphe was near to the septum. Consequently, based on the mechanic theory mentioned above (25, 26), conduction issue enriched in the septum was prone to be hurt by increased contact pressure around the L-R non-fused side. L-R fusion as the most prevalent subtype in type 1 BAV morphology could be the driving factor that brought about the association of type 1 BAV morphology with conduction abnormalities and PPI. To test the hypothesis, we further compared the outcomes of L-R to non-L-R. Nevertheless, there was no difference between L-R and non-L-R in the risk of post-TAVR conduction abnormalities. Limited to a small subject number, we combined N-R and N-L up as non-L-R, which might decrease reliability of the evidence.

Limitations

The pooled results should be interpreted with caution because of the following reasons. First, besides type 0 and type 1 BAV morphology, the Sievers classification also included type 2 and undetermined BAV morphology, but they were not included in our analysis because of their extremely low prevalence and scarce data. Second, all included studies were observational so adjustment for confounding factors was necessary. Meta-regression, we preformed, demonstrated no correlation between the effect modifiers and the pooled estimate, which relieved the confounding bias; however, there was relatively small number of studies included in the regression. Moreover, baseline conduction disorders, such as LBBB and RBBB, could be predisposing factors to post-TAVR HAVB and PPI, but such prevalence was seldom reported. Only Guo et al. presented a similar prevalence between type 1 and type 0, so the effect of baseline conduction disorders on the association was unknown. Last but not least, we must recognize the purpose of the pooled analysis was hypothesis-generating rather than proving type 1 BAV morphology as a strong predictor. We uncovered a rarely noticed association that needs more research to further validate.

Conclusion

The current study found there was a higher risk of post-TAVR conduction abnormalities and PPI for Sievers type 1 BAV morphology than type 0, and the type 1 subtype L-R have no excess risk of post-TAVR conduction abnormalities compared to the non-L-R subtype. Our hypothesis that type 1 BAV morphology is a novel risk factor for conduction abnormalities warranted large cohorts to validate.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.

Author Contributions

JZ and XL independently completed the database searching, screening, and data extraction and wrote the manuscript. FX provided suggestions on statistical analysis and finished the pooled-analysis on R software. YC took responsibility for data checking and evaluated the eligibility of unsettled studies between JZ and XL. CL contributed to the discussion and revised the finished manuscript. All authors contributed toward data analysis, drafting and critically revising the paper, and agree to be accountable for all aspects of the work.

Funding

This study was supported by the National Natural Science Foundation of China (82070388), Taishan Pandeng Scholar Program of Shandong Province (tspd20181220), and the National Natural Science Foundation of Shandong Province (ZR2020MH035).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcvm.2022.884911/full#supplementary-material

Abbreviations

TAVR, transcatheter aortic valve replacement; BAV, bicuspid aortic valve; PPI, permanent pacemaker implantation; HAVB, high-degree a trial-ventricle node block; LBBB, left-bundle branch block; SAVR, surgical aortic valve replacement; SEV, self-expanded valve; BEV, balloon-expanded valve; CI, confidence interval; RR, risk ratio.

References

1. Mack MJ, Leon MB, Thourani VH, Makkar R, Kodali SK, Russo M, et al. Transcatheter aortic-valve replacement with a balloon-expandable valve in low-risk patients. N Engl J Med. (2019) 380:1695–705. doi: 10.1056/NEJMoa1814052

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Popma JJ, Deeb GM, Yakubov SJ, Mumtaz M, Gada H, O'Hair D, et al. Transcatheter aortic-valve replacement with a self-expanding valve in low-risk patients. N Engl J Med. (2019) 380:1706–15. doi: 10.1056/NEJMoa1816885

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Siu SC, Silversides CK. Bicuspid aortic valve disease. J Am Coll Cardiol. (2010) 55:2789–800. doi: 10.1016/j.jacc.2009.12.068

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Montalto C, Sticchi A, Crimi G, Laricchia A, Khokhar AA, Giannini F, et al. Outcomes after transcatheter aortic valve replacement in bicuspid versus tricuspid anatomy: a systematic review and meta-analysis. JACC Cardiovasc Interv. (2021) 14:2144–55. doi: 10.1016/j.jcin.2021.07.052

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Elbadawi A, Saad M, Elgendy IY, Barssoum K, Omer MA, Soliman A, et al. Temporal trends and outcomes of transcatheter versus surgical aortic valve replacement for bicuspid aortic valve stenosis. JACC Cardiovasc Interv. (2019) 12:1811–22. doi: 10.1016/j.jcin.2019.06.037

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Husso A, Airaksinen J, Juvonen T, Laine M, Dahlbacka S, Virtanen M, et al. Transcatheter and surgical aortic valve replacement in patients with bicuspid aortic valve. Clin Res Cardiol. (2021) 110:429–39. doi: 10.1007/s00392-020-01761-3

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Waksman R, Craig PE, Torguson R, Asch FM, Weissman G, Ruiz D, et al. Transcatheter aortic valve replacement in low-risk patients with symptomatic severe bicuspid aortic valve stenosis. JACC Cardiovasc Interv. (2020) 13:1019–27. doi: 10.1016/j.jcin.2020.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Sammour Y, Krishnaswamy A, Kumar A, Puri R, Tarakji KG, Bazarbashi N, et al. Incidence, predictors, and implications of permanent pacemaker requirement after transcatheter aortic valve replacement. JACC Cardiovasc Interv. (2021) 14:115–34. doi: 10.1016/j.jcin.2020.09.063

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Xiong TY, Liao YB, Li YJ, Zhao ZG, Wei X, Tsauo JY, et al. Permanent pacemaker implantation after transcatheter aortic valve replacement in bicuspid aortic valve patients. J Interv Cardiol. (2018) 31:878–84. doi: 10.1111/joic.12546

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Ou YW, He JJ, Zhou X, Li GY, Liao YB, Wei X, et al. The incidence and predictors of high-degree atrioventricular block in patients with bicuspid aortic valve receiving self-expandable transcatheter aortic valve implantation. J Geriatr Cardiol. (2021) 18:825–35. doi: 10.11909/j.issn.1671-5411.2021.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Du Y, Wang Z, Liu W, Guo Y, Han W, Shen H, et al. Transcatheter aortic valve implantation in sievers type 0 vs. type 1 bicuspid aortic valve morphology: systematic review and meta-analysis. Front Cardiovasc Med. (2021) 8:771789. doi: 10.3389/fcvm.2021.771789

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (Prisma-P) 2015 statement. Syst Rev. (2015) 4:1. doi: 10.1186/2046-4053-4-1

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis of observational studies in epidemiology (Moose) group. JAMA. (2000) 283:2008–12. doi: 10.1001/jama.283.15.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Sievers HH, Schmidtke C. A classification system for the bicuspid aortic valve from 304 surgical specimens. J Thorac Cardiovasc Surg. (2007) 133:1226–33. doi: 10.1016/j.jtcvs.2007.01.039

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Balduzzi S, Rücker G, Schwarzer G. How to perform a meta-analysis with R: a practical tutorial. Evid Based Ment Health. (2019) 22:153–60. doi: 10.1136/ebmental-2019-300117

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Forrest JK, Ramlawi B, Deeb GM, Zahr F, Song HK, Kleiman NS, et al. Transcatheter aortic valve replacement in low-risk patients with bicuspid aortic valve stenosis. JAMA Cardiol. (2021) 6:50–7. doi: 10.1001/jamacardio.2020.4738

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Hamdan A, Nassar M, Schwammenthal E, Perlman G, Arow Z, Lessick J, et al. Short membranous septum length in bicuspid aortic valve stenosis increases the risk of conduction disturbances. J Cardiovasc Comput Tomogr. (2020) 15:339–47. doi: 10.1016/j.jcct.2020.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Ielasi A, Moscarella E, Mangieri A, Giannini F, Tchetchè D, Kim WK, et al. Procedural and clinical outcomes of type 0 versus type 1 bicuspid aortic valve stenosis undergoing trans-catheter valve replacement with new generation devices: insight from the beat international collaborative registry. Int J Cardiol. (2021) 325:109–14. doi: 10.1016/j.ijcard.2020.10.050

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Jilaihawi H, Chen M, Webb J, Himbert D, Ruiz CE, Rodes-Cabau J, et al. A bicuspid aortic valve imaging classification for the tavr era. JACC Cardiovasc. Imaging. (2016) 9:1145–58. doi: 10.1016/j.jcmg.2015.12.022

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Yoon SH, Kim WK, Dhoble A, Milhorini Pio S, Babaliaros V, Jilaihawi H, et al. Bicuspid aortic valve morphology and outcomes after transcatheter aortic valve replacement. J Am Coll Cardiol. (2020) 76:1018–30. doi: 10.1016/j.jacc.2020.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Kumar K, Simpson T, Rajotte K, Khouw S, Weller S, Fuss C, et al. New left bundle branch block and permanent pacemaker stratified by sievers type in severe bicuspid aortic stenosis after transcatheter aortic valve replacement. Catheterization Cardiovas Interv. (2020) 95:S151–2. doi: 10.1002/ccd.28864

PubMed Abstract | CrossRef Full Text

22. Guo Y, Zhou D, Dang M, He Y, Zhang S, Fang J, et al. The predictors of conduction disturbances following transcatheter aortic valve replacement in patients with bicuspid aortic valve: a multicenter study. Front Cardiovasc Med. (2021) 8:757190. doi: 10.3389/fcvm.2021.757190

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Shiyovich A, Kornowski R, Plakht Y, Aviv Y, Assa HV, Assali A, et al. Increased rate of new-onset left bundle branch block in patients with bicuspid aortic stenosis undergoing transcatheter aortic valve implantation (from a national registry). Am J Cardiol. (2021) 156:101–7. doi: 10.1016/j.amjcard.2021.06.046

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Vincent F, Ternacle J, Denimal T, Shen M, Redfors B, Delhaye C, et al. Transcatheter aortic valve replacement in bicuspid aortic valve stenosis. Circulation. (2021) 143:1043–61. doi: 10.1161/CIRCULATIONAHA.120.048048

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Lavon K, Marom G, Bianchi M, Halevi R, Hamdan A, Morany A, et al. Biomechanical modeling of transcatheter aortic valve replacement in a stenotic bicuspid aortic valve: deployments and paravalvular leakage. Med Biol Eng Comput. (2019) 57:2129–43. doi: 10.1007/s11517-019-02012-y

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Rocatello G, El Faquir N, De Santis G, Iannaccone F, Bosmans J, De Backer O, et al. Patient-specific computer simulation to elucidate the role of contact pressure in the development of new conduction abnormalities after catheter-based implantation of a self-expanding aortic valve. Circ Cardiovasc Interv. (2018) 11:e005344. doi: 10.1161/CIRCINTERVENTIONS.117.005344

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Mylotte D, Lefevre T, Søndergaard L, Watanabe Y, Modine T, Dvir D, et al. Transcatheter aortic valve replacement in bicuspid aortic valve disease. J Am Coll Cardiol. (2014) 64:2330–9. doi: 10.1016/j.jacc.2014.09.039

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Yousef A, Simard T, Webb J, Rodés-Cabau J, Costopoulos C, Kochman J, et al. Transcatheter aortic valve implantation in patients with bicuspid aortic valve: a patient level multi-center analysis. Int J Cardiol. (2015) 189:282–8. doi: 10.1016/j.ijcard.2015.04.066

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: bicuspid aortic valve, transcatheter aortic valve replacement, conduction abnormalities, aortic stenosis (AS), Sievers classification, pacemaker

Citation: Zhang J, Li X, Xu F, Chen Y and Li C (2022) Pooled-Analysis of Association of Sievers Bicuspid Aortic Valve Morphology With New Permanent Pacemaker and Conduction Abnormalities After Transcatheter Aortic Valve Replacement. Front. Cardiovasc. Med. 9:884911. doi: 10.3389/fcvm.2022.884911

Received: 27 February 2022; Accepted: 11 April 2022;
Published: 26 May 2022.

Edited by:

Michel R. Labrosse, University of Ottawa, Canada

Reviewed by:

Vladimir Uspenskiy, Almazov National Medical Research Centre, Russia
Giuseppe Tarantini, University of Padua, Italy

Copyright © 2022 Zhang, Li, Xu, Chen and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Chuanbao Li, bao2460@126.com; Yuguo Chen, chen919085@sdu.edu.cn

These authors have contributed equally to this work and share first authorship

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