Skip to main content
Download PDF

Predictors and clinical outcomes of permanent pacemaker implantation after transcatheter aortic valve implantation

BMC Cardiovascular Disorders volume 24, Article number: 448 (2024) Cite this article

Abstract

Objective

This study aimed to identify the incidence, risk factors, and outcomes of permanent pacemaker (PPM) implantation after transcatheter aortic valve implantation (TAVI) procedures.

Methods

A retrospective analysis was conducted on 70 patients who underwent TAVI at the Department of Cardiology, Fujian Provincial Hospital, from January 2018 to March 2022. Based on whether a new PPM was implanted after TAVI, all patients were divided into two groups: NEW PPM and NO PPM. Baseline characteristics and clinical data were compared between the two groups. Univariate analysis was used to analyze different variables between the two groups. A binary logistic regression analysis was used to evaluate independent correlates for PPM implantation after TAVI.

Results

The mean age of the 70 patients was 73.1 ± 8.8 years. The incidence of PPM implantation was 17.1%. Patients with diabetes and chronic kidney disease were more likely to require PPM (50% vs. 20.7%, p = 0.042, 25% vs. 5.2%, p = 0.042). Our study did not identify any significant differences in the incidence of electrocardiographic conduction disturbances except for the previous right bundle branch block (RBBB) (NO PPM 6.9% vs. NEW PPM 33.3%, p < 0.05). We found that prosthesis size, implantation depth, procedural duration, and length of hospital and intensive care unit (ICU) stays were comparable between the two groups. The leading independent predictors of PPM implantation were previous RBBB (odds ratio 10.129, p = 0.034).

Conclusion

The previous RBBB was the leading independent predictor of PPM implantation. New PPM was not associated with significantly new-onset left BBB, extended post-procedure hospitalization, ICU stay, or procedural duration.

Graphical Abstract

Peer Review reports

Introduction

Over the past decade, transcatheter aortic valve implantation (TAVI) has become an inoperable treatment option. Since the first implantation by Prof. Cribier and his team in 2002, which received European conformity approval in the mid-2000s, the technology has spread worldwide. TAVI is considered a well-established therapy for patients with severe aortic valve disease who are deemed at high risk for surgical aortic valve replacement (SAVR) [1]. With advancements in TAVI technology and operators’ experience, TAVI effectiveness has been confirmed in lower-risk patients [2, 3]. However, despite rapid use, expanded indications, and improved technology, new conduction disorders after TAVI requiring pacemaker therapy remain a common postoperative complication [4]. Several studies have found that subsequent permanent pacemaker (PPM) implantation due to a high-degree atrioventricular block (AVB) is the most common complication after TAVI [5, 6]. Few studies have evaluated new PPM after TAVI in a Chinese population. However, studies on the effects of procedural duration on PPM implantation are lacking. Additionally, studies on the length of hospital and intensive care unit (ICU) stays in patients with new PPM after TAVI are limited. Current Chinese research on post-TAVI PPM implantation is predominantly characterized by small-scale, single-center studies, which often yield variable and sometimes contradictory results.For instance, Fang Du et al. identified a higher likelihood of PPM implantation in patients with pre-existing right bundle branch block (RBBB) [7]. However, Jiaqi Zhang et al. did not confirm the influence of pre-existing RBBB on PPM placement [8]. This discrepancy underscores the variability in findings across different studies and highlights the need for further research to elucidate the factors influencing post-TAVI PPM implantation in the Chinese population.We aim to expand our center’s study cohort to further investigate the factors influencing the rate of PPM implantation following TAVI in the Chinese population. By integrating data from multiple centers, we can obtain a more accurate and comprehensive understanding of the real-world scenarios of PPM implantation post-TAVI among Chinese patients.

Consequently, this study aimed to evaluate the incidence, risk factors, and outcomes of PPM implantation after TAVI, particularly in electrocardiographic parameters and echocardiographic characteristics, procedural characteristics, and length of stay at a hospital in a Chinese population.

Patients and methods

Patient population and study design

A retrospective analysis was conducted on 70 patients who received TAVI with the self-expandable venus A valve (Venus Med Tech Inc., Hangzhou, China) at the Department of Cardiology of the Fujian Provincial Hospital between January 2018 and March 2022. The study protocol was approved on June 30th, 2023, by the Fujian Provincial Hospital Human Research Ethics Committee (approval number: K2023-06-015). Considering the retrospective nature of this study, the need for informed consent was waived and approved by the Fujian Provincial Hospital Human Research Ethics Committee. All patients who underwent TAVI were deemed at medium- or high-risk for SAVR by the local cardiothoracic surgery team.

The initial sample size was 80. Patients who had received SAVR (n = 2) or were previously treated with PPM (n = 3) were excluded. Additionally, one patient was excluded because of surgical conversion during the procedure (n = 1). Similarly, four patients with missing data for different clinical variables were excluded. Therefore, 70 patients were included in this study (Fig. 1). Based on whether a new PPM was implanted or not after TAVI, patients were divided into the NEW PPM group and the NO PPM group. Clinical data, such as electrocardiographic and echocardiographic data, were extracted retrospectively. Every patient underwent a baseline electrocardiogram and echocardiogram before TAVI. Baseline demographic information included age, gender, body mass index (BMI), history of hypertension, diabetes, and heart failure with different New York Heart Association functional classes (NYHA Class), atrial fibrillation, history of stroke, coronary artery disease, and chronic kidney disease. Echocardiographic variables included aortic valve peak velocity, aortic valve mean gradient, interventricular septum diastolic diameter, left ventricular end-diastolic diameter, left ventricular ejection fraction (LVEF), and bicuspid aortic valve.

Fig. 1
figure 1

Study flowchart

Full size image

Statistical analysis

Baseline characteristics and clinical data were compared between the NEW PPM and NO PPM groups. Results are presented as n (%) for categorical data and mean ± standard deviation or median (interquartile range) for continuous variables according to variable distribution. Univariate analysis was done to analyze different variables between the two groups. A binary logistic regression analysis was used to evaluate independent correlates for PPM implantation after TAVI. Variables with a p-value less than 0.05 in the univariate analysis were subsequently included in the binary logistic regression model. Statistical Package for the Social Sciences software (version 19) was used to conduct the statistical analysis. A 2-sided p-value < 0.05 was considered statistically significant.

Results

Demographic and clinical characteristics

This study included 70 participants in the final analysis. All patients in our study were at intermediate or high surgical risk, with NYHA class III/IV, and none had a history of SAVR. Table 1 depicts the detailed clinical baseline characteristics of patients with or without PPM implantation. The mean age of the patients was 73.1 ± 8.8 years, and 68.6% of the study population was male. Complete AVB (100%) was an indication for PPM implantation after TAVI. The incidence of PPM implantation in our study was 17.1%. Baseline patient characteristics demonstrate that patients with diabetes were more likely to require PPM (50% vs. 20.7%, p = 0.042). Patients with chronic kidney disease were more likely to require PPM (25% vs. 5.2%, p = 0.042). The median time to PPM implantation after TAVI was four days among patients who underwent PPM implantation within 30 days of having TAVI.

Table 1 Baseline characteristics
Full size table

Electrocardiographic parameters and echocardiographic characteristics

Table 2 depicts the electrocardiographic change patterns in patients before and after TAVI. Our study did not find significant differences in the incidence of electrocardiographic conduction disturbances, including new-onset atrial fibrillation, new-onset first-degree AVB, new-onset right bundle branch block (RBBB), new-onset left BBB (LBBB), or any previous electrocardiographic conduction disturbances, except for the previous RBBB (NO PPM 6.9% vs. NEW PPM 33.3%, p = 0.017). Based on echocardiographic characteristics, patients with a higher LVEF were more likely to require PPM (60% vs. 57%, p = 0.045). Moreover, there were no differences between the two groups based on aortic valve peak velocity, aortic valve mean gradient, left ventricular end-diastolic, interventricular septum diastolic diameter, and the rate of bicuspid aortic valve, as illustrated in Table 2.

Table 2 Electrocardiographic parameters and echocardiographic characteristics
Full size table

Procedural characteristics and length of stays at the hospital

Table 3 depicts the procedural characteristics and length of hospital stays. The two groups could be compared based on prosthesis size, predilation balloon size, membrane length, implantation depth, procedural duration, and length of hospital and ICU stays.

Table 3 Procedural characteristics and length of stays at the hospital
Full size table

Univariate and binomial logistic regression analysis of PPM after TAVR

Table 4 depicts that the main independent predictors of PPM implantation were previous RBBB (odds ratio 10.129, p = 0.034). Univariate analysis revealed that diabetes, chronic kidney disease, and LVEF were associated with PPM implantation. However, the association became statistically non-significant after the confounder adjustment.

Table 4 Univariate and binomial logistic regression analysis of PPM after TAVR
Full size table

Discussion

TAVI is being increasingly utilized in treating patients with severe symptomatic aortic valve disease. Despite significant improvements in device technologies and implantation techniques, cardiac conduction disturbances that cause the new PPM implantation after TAVI remain a frequent complication. In this study, we analyzed clinical data, electrocardiographic parameters, echocardiographic characteristics, procedural characteristics, and length of hospital stays of 70 patients at the cardiovascular department of Fujian Provincial Hospital. Our study aimed to identify the incidence, risk factors, and outcomes of PPM implantation after TAVI to analyze the possible causes of new PPM implantation in the Chinese population.

Numerous studies have identified various ECG, imaging, and procedural risk factors for PPM in different ways. Factors, including the depth of implantation below the aortic valve annulus, prosthesis size, and the height of the membranous ventricular septum and left ventricular outflow tract, have received notable importance [9,10,11,12]. However, most of these studies were small-scale trials, potentially limiting their generalizability to the entire population. Therefore, this study also analyzed the electrocardiographic parameters and characteristics and procedural characteristics. However, no significant results were found among these factors. Additionally, we observed that the previous RBBB impacted the new PPM implantation after TAVI.

The indications for PPM may vary depending on the criteria of different centers, and they may not always follow current guidelines. The new PPM implantation was all due to the high degree of AVB in our study. In the TAVI procedure, most conduction disturbances occur in the acute period (periprocedural or within 24 h of the procedure) [13]. It is generally believed that TAVI causes two injuries to the conduction system, balloon dilation and valve implantation, resulting in a complete atrioventricular block [14]. In this study, the RBBB prevalence among patients reached approximately 11.4%, and new PPM is required in 50% of patients with previous RBBB. Previously, RBBB was the leading independent predictor of PPM implantation in patients who underwent TAVI. Several studies have found that baseline RBBB is probably the strongest and most consistent clinical predictor of PPM, which has been identified in over half of the studies evaluating multivariable predictors of PPM [15, 16]. Watanabe et al. identified 749 TAVI recipients and found that 13.6% of patients with previous RBBB exhibited higher rates of PPM implantation, which was similar to the study by Auffret et al., who studied 3,527 patients who received TAVI and found that 10.3% of patients with previous RBBB have higher rates of PPM implantation [15, 17]. Some other studies found a similar outcome [12, 16, 18]. Underlying degenerative conduction system disease may increase the susceptibility of the conduction system to injury in the course of TAVI [19]. Patients with previous RBBB are more likely to develop high-grade AVB due to the impaired conduction system. Mechanical et al. emphasized that when TAVI is used on the aortic valve, local edema and deterioration of the ventricular septum can harm atrioventricular conduction [18]. The proximity between the aortic valve and the conduction system explains the genesis of periprocedural conduction disturbances during TAVI. Waksman R et al. reported that the incidence of bradyarrhythmia and high-grade AVB increased when the LBBB was injured during valve deployment or aortic balloon valvuloplasty in patients with previous RBBB [20]. Considering the high rate of PPM implantation in patients with previous RBBB receiving a self-expanding valve, using valves with a lower risk of high-grade AVB should be prioritized to reduce the PPM implantation rate [15].

Conduction disturbances after TAVI include high-grade AVB and new-onset LBBB. Currently, there is no agreement on the LBBB effect on the new PPM implantation after TAVI. PPM rates of 5–14% have been reported at follow-up among patients with new-onset LBBB, many of which were associated with the progression toward high-grade AVB being the most frequent indication for PPM across studies [21,22,23]. The incidence of new-onset LBBB varies after TAVI. Several studies have reported that the rate of new-onset LBBB after TAVI ranges from 4 to 65%, depending on the valve type [24]. The two most commonly used valves are the self-expanding and balloon-expandable valves. However, new-onset LBBB in this study was not a risk factor for new PPM implantation. All patients in our center only received a self-expanding valve, which could explain the disparities in outcomes. However, the inclusion of transient LBBB in some studies and differences in measurement timing can all contribute to the difference.

There is no unified conclusion on the preoperative left ventricular ejection fraction implantation rate to the new PPM after TAVI. Herein, it was statistically different in the NO PPM and NEW PPM groups. However, the P-value was at the critical state, and the median was 57% and 60%, which was clinically non-significant. Therefore, further data analysis and research are still needed for this factor.

Several centers have analyzed the risk factors for PPM implantation after TAVI. However, most of them did not focus on the effect of procedural duration. In this study, the median procedural duration was 140 min in the NEW PPM group and 165 min in the NO PPM group, but a non-significant statistical difference was found. The longer duration was not associated with the new-onset PPM implantation in our study. No other study has reported the relevant content. The reasons for this phenomenon are as follows: (1) the procedural duration did not affect conduction tract damage. The reason is that the longer duration did not damage the conduction tract. (2) The procedural duration was steady in various centers. Possibly, there was a non-significant difference in the damage to the conduction tract when the duration was in a certain time range. However, this is only a unilateral conjecture, and the data did not support these conjectures.

Fadahunsi OO et al. found that PPM implantation was associated with a prolonged length of stay in the hospital and the ICU, which is inconsistent with our findings [25]. We analyzed the length of hospital and ICU stays with new PPM implantation and found no statistical difference from those without PPM implantation. Different geographical environments, indications for prolonged hospitalization length, and registries can influence the outcome. Fadahunsi OO et al.‘s study registry included all patients with aortic stenosis [25]. However, patients with aortic stenosis and aortic insufficiency were included in our study, which could explain the disparities in outcomes. The study did not mention discharge and ICU indications. Thus, comparing them was difficult.

Study limitations

This is a small sample study of patients with TAVI at a single center, which did not include all centers or the total number of TAVI procedures performed in Fujian Province, China. The small sample size limits the statistics of the study. Additionally, this analysis had inherent restrictions related to the retrospective data analysis. There was no information on the type of self-expanding that might have allowed us to explore the reasons for the new PPM implantation. Moreover, the medications that could affect cardiac conduction were unspecified in this study. The method for determining implantation depth was not standardized and unavailable in this study. However, the depth of implantation may be the influencing factor for PPM. Some imaging findings associated with higher PPM implantation rates in many works of literature were not assessed. Despite the limitations of our study, we believe that it is representative and could provide valuable perspectives in identifying high-risk cases requiring PPM. As TAVI indications expand to younger and lower-risk patients with fewer additional risks and longer expected survival, TAVI is becoming more popular and accessible globally. Consequently, studies in different centers and regions are necessary to confirm the effect of PPM on clinical outcomes. Our findings favor an early intervention for postoperative patients who may require PPM.

Conclusions

PPM was required within 30 days of TAVI in 17.1% of patients who did not previously undergo PPM. Previously, RBBB was the leading independent predictor of PPM implantation in patients who underwent TAVI. New PPM was not associated with significantly longer post-procedure hospitalization, ICU stay, or procedural duration. Considering the high rate of PPM implantation in patients with previous RBBB, valves with a lower risk of high-grade AVB should be prioritized to reduce the PPM implantation rate. More extensive studies with collaboration among departments are required to improve post-TAVI new PPM implantation rates and continue allowing TAVI to evolve as a safe and reproducible intervention.

Data availability

The data that support the findings of this study are available from Key Laboratory of Big Date Project of Fujian Province but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the corresponding authors upon reasonable request and with permission of Key Laboratory of Big Date Project of Fujian Province.

Abbreviations

AF:

Atrial Fibrillation

AVB:

Atrioventricular Block

BMI:

Body Mass Index

ICU:

Intensive Care Unit

LBBB:

Left Bundle Branch Block

NYHA Class:

New York Heart Association functional classes

PPM:

Permanent Pacemaker

RBBB:

Right Bundle Branch Block

SAVR :

Surgical Aortic Valve Replacement

TAVI:

Transcatheter Aortic Valve Implantation

References

  1. Leon MB, Mack MJ, Hahn RT, et al. Outcomes 2 years after transcatheter aortic valve replacement in patients at Low Surgical Risk[J]. J Am Coll Cardiol. 2021;77(9):1149–61.

    Article  PubMed  Google Scholar 

  2. Chamandi C, Barbanti M, Munoz-Garcia A et al. Long-term outcomes in patients with New-Onset Persistent Left Bundle Branch Block following TAVR[J]. JACC Cardiovascular Interventions. 2019;12(12).

  3. Arora S, Vavalle JP. Transcatheter aortic valve replacement in intermediate and low risk patients - clinical evidence[J]. Annals Cardiothorac Surg. 2017;6(5):493.

    Article  Google Scholar 

  4. Khatri PJ, Webb JG, Rodés-Cabau J, et al. Adverse effects Associated with transcatheter aortic valve Implantation[J]. Ann Intern Med. 2013;158(1):35.

    Article  PubMed  Google Scholar 

  5. Nazif TM, Dizon J, Hahn RT, et al. Predictors and clinical outcomes of permanent pacemaker implantation after transcatheter aortic valve replacement: the PARTNER (Placement of AoRtic TraNscathetER valves) trial and registry.[J]. Jacc Cardiovasc Interventions. 2015;8(1):60–9.

    Article  Google Scholar 

  6. Ando T, Takagi H, Telila T et al. Comparison of outcomes in new-generation versus early-generation heart valve in transcatheter aortic valve implantation: a systematic review and meta-analysis[J]. Cardiovascular Revascularization Medicine: Including Mol Interventions. 2017;19(2).

  7. Du F, Zhu Q, Jiang J, Chen H, Liu X, Wang J. Incidence and predictors of permanent pacemaker implantation in patients who underwent transcatheter aortic valve replacement: Observation of a Chinese Population. Cardiology. 2020;145(1):27–34.

    Article  PubMed  Google Scholar 

  8. Zhang J, Chi C, Tian S, Zhang S, Liu J. Predictors of permanent pacemaker implantation in patients after transcatheter aortic valve replacement in a Chinese Population. Front Cardiovasc Med. 2022;8:743257.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Erkapic D, De Rosa S, Kelava A, Lehmann R, Fichtlscherer S, Hohnloser SH. Risk for permanent pacemaker after transcatheter aortic valve implantation: a comprehensive analysis of the literature. J Cardiovasc Electrophysiol. 2012;23(4):391–7.

    Article  PubMed  Google Scholar 

  10. Fraccaro C, Napodano M, Tarantini G. Conduction disorders in the setting of transcatheter aortic valve implantation: a clinical perspective. Catheter Cardiovasc Interv. 2013;81(7):1217–23.

    Article  PubMed  Google Scholar 

  11. Binder RK, Webb JG, Toggweiler S, Freeman M, Barbanti M, Willson AB, Alhassan D, Hague CJ, Wood DA, Leipsic J. Impact of post-implant SAPIEN XT geometry and position on conduction disturbances, hemodynamic performance, and paravalvular regurgitation. JACC Cardiovasc Interv. 2013;6(5):462–8.

    Article  PubMed  Google Scholar 

  12. Sandhu A, Tzou WS. A disruptive technology: determining need for permanent pacing after TAVR. Curr Cardiol Rep. 2021;23(5):53.

    Article  PubMed  Google Scholar 

  13. Massoullié G, Bordachar P, Ellenbogen KA, Souteyrand G, Jean F, Combaret N, Vorilhon C, Clerfond G, Farhat M, Ritter P, Citron B, Lusson JR, Motreff P, Ploux S, Eschalier R. New-Onset Left Bundle Branch Block Induced by Transcutaneous Aortic Valve Implantation. Am J Cardiol. 2016;117(5):867–73.

    Article  PubMed  Google Scholar 

  14. Lange P, Greif M, Vogel A, Thaumann A, Helbig S, Schwarz F, Schmitz C, Becker C, D’Anastasi M, Boekstegers P, Pohl T, Laubender RP, Steinbeck G, Kupatt C. Reduction of pacemaker implantation rates after CoreValve® implantation by moderate predilatation. EuroIntervention. 2014;9(10):1151–7.

    Article  PubMed  Google Scholar 

  15. Auffret V, Puri R, Urena M, Chamandi C, Rodriguez-Gabella T, Philippon F, Rodés-Cabau J. Conduction disturbances after transcatheter aortic valve replacement: current status and future perspectives. Circulation. 2017;136(11):1049–69.

    Article  PubMed  Google Scholar 

  16. El-Sabawi B, Welle GA, Cha YM, Espinosa RE, Gulati R, Sandhu GS, Greason KL, Crestanello JA, Friedman PA, Munger TM, Rihal CS, Eleid MF. Temporal incidence and predictors of high-Grade Atrioventricular Block after Transcatheter aortic valve replacement. J Am Heart Assoc. 2021;10(10):e020033.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Watanabe Y, Kozuma K, Hioki H, Kawashima H, Nara Y, Kataoka A, Nagura F, Nakashima M, Shirai S, Tada N, Araki M, Takagi K, Yamanaka F, Yamamoto M, Hayashida K. Pre-existing right Bundle Branch Block increases risk for death after transcatheter aortic valve replacement with a balloon-expandable valve. JACC Cardiovasc Interv. 2016;9(21):2210–221.

    Article  PubMed  Google Scholar 

  18. Ravaux JM, Mauro MD, Vernooy K, Mariani S, Ronco D, Simons J, Van’t Hof AW, Veenstra L, Kats S, Maessen JG, Lorusso R. Impact of Bundle Branch Block on Permanent Pacemaker Implantation after Transcatheter aortic valve implantation: a Meta-analysis. J Clin Med. 2021;10(12):2719.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Chen S, Chau KH, Nazif TM. The incidence and impact of cardiac conduction disturbances after transcatheter aortic valve replacement. Ann Cardiothorac Surg. 2020;9(6):452–67.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Waksman R, Steinvil A. Pre-transcatheter aortic valve replacement right bundle Branch Block: a bundle of trouble. JACC Cardiovasc Interv. 2017;10(15):1575–7.

    Article  PubMed  Google Scholar 

  21. Houthuizen P, van der Boon RM, Urena M, Van Mieghem N, Brueren GB, Poels TT, Van Garsse LA, Rodés-Cabau J, Prinzen FW, de Jaegere P. Occurrence, fate and consequences of ventricular conduction abnormalities after transcatheter aortic valve implantation. EuroIntervention. 2014;9(10):1142–50.

    Article  PubMed  Google Scholar 

  22. Nazif TM, Williams MR, Hahn RT, Kapadia S, Babaliaros V, Rodés-Cabau J, Szeto WY, Jilaihawi H, Fearon WF, Dvir D, Dewey TM, Makkar RR, Xu K, Dizon JM, Smith CR, Leon MB, Kodali SK. Clinical implications of new-onset left bundle branch block after transcatheter aortic valve replacement: analysis of the PARTNER experience. Eur Heart J. 2014;35(24):1599–607.

    Article  PubMed  Google Scholar 

  23. Urena M, Webb JG, Cheema A, Serra V, Toggweiler S, Barbanti M, Cheung A, Ye J, Dumont E, DeLarochellière R, Doyle D, Al Lawati HA, Peterson M, Chisholm R, Igual A, Ribeiro HB, Nombela-Franco L, Philippon F, Garcia Del Blanco B, Rodés-Cabau J. Impact of new-onset persistent left bundle branch block on late clinical outcomes in patients undergoing transcatheter aortic valve implantation with a balloon-expandable valve. JACC Cardiovasc Interv. 2014;7(2):128–36.

    Article  PubMed  Google Scholar 

  24. Sammour Y, Krishnaswamy A, Kumar A, Puri R, Tarakji KG, Bazarbashi N, Harb S, Griffin B, Svensson L, Wazni O, Kapadia SR. Incidence, predictors, and implications of permanent pacemaker requirement after transcatheter aortic valve replacement. JACC Cardiovasc Interv. 2021;14(2):115–34.

    Article  PubMed  Google Scholar 

  25. Fadahunsi OO, Olowoyeye A, Ukaigwe A, et al. Incidence, predictors, and outcomes of PermanentPacemaker Implantation following transcatheter aortic ValveReplacement: analysis from the U.S. Society of Thoracic Surgeons/American College of Cardiology TVT Registry[J]. Jacc Cardiovasc Interventions. 2016;9(21):2189–99.

    Article  Google Scholar 

Download references

Acknowledgements

We sincerely thank the patients and relatives for their participation in this study.

Funding

The study was supported by the General Program of the Natural Science Foundation of Fujian Province (Grant Number: 2023J011179).

Author information

Authors and Affiliations

  1. Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China

    Bing-Ying Chen, Ting-Feng Huang, Xin-Da Jiang, Xiao-Yan Ding & Xiao-Fen Zhou

  2. The Fourth Department of Intensive Care Unit, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350001, Fujian, China

    Bing-Ying Chen, Ting-Feng Huang, Xin-Da Jiang, Xiao-Yan Ding & Xiao-Fen Zhou

  3. Fujian Provincial Key Laboratory of Emergency Medicine, Fuzhou, 350001, Fujian, People’s Republic of China

    Bing-Ying Chen & Xiao-Fen Zhou

  4. Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, 350001, Fujian, People’s Republic of China

    Xiao-Fen Zhou

Authors
  1. Bing-Ying Chen
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Ting-Feng Huang
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Xin-Da Jiang
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Xiao-Yan Ding
    View author publications

    You can also search for this author inPubMed Google Scholar

  5. Xiao-Fen Zhou
    View author publications

    You can also search for this author inPubMed Google Scholar

Contributions

Conception and drafting of the work were performed by BYC. Data acquisition and data interpretation were performed by TFH, XDJ and XYD. Revision of the manuscript for intellectual content was conducted by XFZ. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Xiao-Fen Zhou.

Ethics declarations

Ethics approval and consent to participate

The study protocol and consent forms were approved by the Fujian Provincial Hospital Human Research Ethics Committee (approval number: K2023-06-015) and conformed to the ethical standards for medical research involving human subjects, as laid out in the 1964 Declaration of Helsinki and its later amendments. Any personal data contained in the manuscript was subject to the consent of the individual.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, BY., Huang, TF., Jiang, XD. et al. Predictors and clinical outcomes of permanent pacemaker implantation after transcatheter aortic valve implantation. BMC Cardiovasc Disord 24, 448 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12872-024-04101-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12872-024-04101-9

Keywords

BMC Cardiovascular Disorders

ISSN: 1471-2261

Contact us