One-Year and Five-Year Outcomes of Transcatheter Aortic Valve Replacement or Surgical Aortic Valve Replacement in a Taiwanese Elderly Population
by
,
Po-Han Lin
1,2,
Hao-Ji Wei
1,3,
Shih-Rong Hsieh
4,
Hung-Wen Tsai
1,
Chu-Leng Yu
1,
Wen-Lieng Lee
3,5 and
Yung-Szu Wu
1,* 1
Division of Cardiovascular Surgery, Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
2
Division of Cardiovascular Surgery, Department of Surgery, Chaiyi Branch, Taichung Veterans General Hospital, Chaiyi 60090, Taiwan
3
Institute of Clinical Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
4
Cardiovascular Center, Taichung Tzu Chi Hospital, Taichung 427213, Taiwan
5
Division of Interventional Cardiology, Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2023, 12(10), 3429; https://doi.org/10.3390/jcm12103429
Submission received: 11 March 2023
/
Revised: 24 April 2023
/
Accepted: 29 April 2023
/
Published: 12 May 2023
(This article belongs to the Section Cardiology)
Abstract
:Background: The aim of our study was to provide real-world data on outcomes for elderly Taiwanese patients who underwent transcatheter aortic valve replacement or surgical aortic valve replacement in different risk groups. Methods: From March 2011 through December 2021, 177 patients with severe aortic stenosis who were ≥70 years old and had undergone TAVI (transcatheter aortic valve implantation) or SAVR (surgical aortic valve replacement) in a single center were divided by STS score (<4%, 4–8% and >8%) into three different groups. Then, we compared their clinical characteristics, operative complications, and all-cause mortality. Results: In all risk groups, there were no significant differences in in-hospital mortality, or 1-year and 5-year mortality between patients in the TAVI and SAVR groups. In all risk groups, patients in the TAVI group had shorter hospital stay and higher rate of paravalvular leakage than the SAVR group. After univariate analysis, BMI (body mass index) < 20 was a risk factor for higher 1-year and 5-year mortality. In the multivariate analysis, acute kidney injury was an independent factor for predicting worse outcomes in terms of 1-year and 5-year mortality. Conclusions: Taiwan elderly patients in all risk groups did not have significant differences in mortality rates between the TAVI and the SAVR group. However, the TAVI group had shorter hospital stay and higher rate of paravalvular leakage in all risk groups.
1. Introduction
Transcatheter aortic valve implantation (TAVI) and surgical aortic valve replacement (SAVR) are standard treatments for severe aortic stenosis, especially for patients older than 65 years [1,2]. According to the Society of Thoracic Surgeons (STS) scores, patients are divided into high, intermediate, and low-risk groups. TAVI is the recommended treatment for high-risk patients [1,2,3]. However, for intermediate and low-risk patients, TAVI or SAVR are standard treatments [4,5] because these treatments have different benefits and disadvantages depending on a patient’s individual condition, which is evaluated by a heart team.
Body mass index (BMI) is one of several factors that can affect the results of patients with TAVI or SAVR [6,7]. Previous research on cardiac surgeries have revealed that surgical outcomes vary among patients with different body mass indices (BMIs) [8,9]. Several studies demonstrated that extreme obesity and underweight were significantly associated with early major adverse clinical outcomes [9,10,11]. Moreover, one of the differences between elderly populations in Taiwan and Western countries is the proportion of people with normal and overweight BMI [12,13]. Previous studies revealed that overweight patients have better results than patients with BMI less than 20 [1,2]. The PARTNER trials are three of the largest randomized control trials comparing results between TAVI and SAVR. The average BMI of the patients in these trials falls within the overweight range [3,4,5]. The largest database of Japanese patients with TAVI and SAVR shows a higher proportion of normal BMI in the short-term results [3]. However, in this research, patients were not divided into different risk groups. Therefore, there were no data on the differences in outcomes of patients of an Asia-Pacific population between TAVI and SAVR in high-, intermediate-, and low-risk groups.
In our retrospective study, data from patients with SAVR and TAVI have been collected over the past 10 years. The purpose of this study was to provide real-world data on the mid-term outcomes of elderly Taiwanese patients in different risk groups who underwent TAVI or SAVR.
2. Materials and Methods
All data used in the retrospective cohort study were obtained from patients’ medical records in our hospital (paper and electronic files) and telephone surveys. Patients were treated with TAVI or SAVR in a single center between March 2011 and December 2021. Institutional review board approval was obtained for this study.
The present study employed specific inclusion and exclusion criteria to recruit eligible participants. Inclusion criteria required the identification of patients aged 70 years or older who received transcatheter aortic valve implantation (TAVI) or surgical aortic valve replacement (SAVR) at our hospital. Among these patients, those who underwent coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI) in the same admission were deemed eligible for study enrollment. Conversely, patients who underwent concomitant valve surgery, thoracic aortic surgery, or emergency surgery were excluded from the study, as per the predefined exclusion criteria (Figure 1).
Eligible patients were divided into three main groups, based on STS scores: <4% (low risk), 4–8% (intermediate risk), and >8% (high risk). In each group, they were separated into two subgroups by treatments: TAVI and SAVR. In the TAVI group, we used Medtronic Corevalves and Edward Sapien valves. All TAVI patients were treated using the transfemoral approach. In the SAVR group, we used mechanical valves (On-X prosthetic heart valve, Cryolife, Inc., Kennesaw, GA, USA), bovine valves (Carpentier-Edwards PERIMOUNT Magna Ease aortic heart valve, Edwards Lifescience Corporation, Irvine, CA, USA), and porcine valves (EpicTM aortic valve bioprothesis, St. Jude Medical, Inc., Saint Paul, MN, USA). All SAVR patients received a conventional sternotomy.
The clinical data for each patient included the following: a medical history of the underlying disease, surgical reports, cardiac ultrasound reports, laboratory analyses, and fatal events. The definition of acute kidney injury (AKI) was based on the RIFLE criteria. In this study, AKI is defined as a two-fold increase or more in serum creatinine or a decrease of over 50% in urine output. The primary endpoint was death from any cause.
Statistical analysis was performed using the Social Sciences Statistical Package (IBM SPSS version 22.0; International Business Machines Corp., New York, NY, USA). Continuous variables were reported as average and standard deviation, and categorical data were reported as number and percentage. Data were analyzed using the Kruskal–Wallis test, Mann–Whitney U-test, Chi-Square test, F-test and Fisher’s exact test.
We examined the potential preoperative, operative, and postoperative risk factors for mortality using univariate and multivariate modelling. The factors were selected based on clinical relevance or when the significance of the univariate association exhibited a p-value less than 0.5. Event-free survival was calculated using the Kaplan–Meier method. Independent predictors of long-term survival were determined by the Cox proportional hazards model with 95% confidence intervals (CIs). p-Values less than 0.05 were considered statistically significant.
3. Results
During the study, our hospital performed TAVI on 115 patients and surgical aortic valve replacement on 672 patients. There were 177 patients that met the inclusion and exclusion criteria. The average age was 80.2 6.02 years in all patients, and the average BMI was 24.6 4.05. According to the definition of STS scores, there were 57 patients in the low-risk group, 65 patients in the intermediate-risk group, and 55 patients in the high-risk group. The baseline demographic and clinical data for the patients are presented in Table 1.
In these three different risk groups, the average age of the patients with TAVI was older than that of the SAVR group (low-risk group: 79.6 3.8 vs. 75.4 3.9, p < 0.001; intermediate-risk group: 83.1 5.2 vs. 79.5 4.6, p = 0.015; high-risk group: 83.9 6.2 vs. 74.3 4.1, p < 0.001). All showed no significant differences in STS score and EuroSCORE II between the TAVI and SAVR groups. In addition, in the low-risk and intermediate-risk groups, fewer patients had heart failure symptoms in the TAVI group than in the SAVR group (low-risk group: 50% vs. 91.9%, p = 0.001; intermediate risk group: 67.6% vs. 92.9%, p = 0.014).
Regarding the treatment of coronary artery disease in these three risk groups, percutaneous coronary intervention (PCI) was used in more patients in the TAVI group than in the SAVR group. In the intermediate-risk group, patients with previous PCI comprised 51.4% of the TAVI group and 25% of the SAVR group (p = 0.032). In the high-risk group, 57.8% and 10% of the patients in the TAVI group and the SAVR group had previous PCI (p = 0.012). In the low-risk group, 5% and 0% of patients in the TAVI and SAVR groups, respectively, had PCI in the past 12 months (p = 0.004). In the high-risk group, 53.3% of patients in the TAVI group and 10% of patients in the SAVR group received PCI in the past 12 months (p = 0.015).
The intraoperative and postoperative outcomes are shown in Table 2. In the low- and intermediate-risk groups, fewer patients had CABG in the TAVI group than in the SAVR groups (low-risk: 0% vs. 18.9%, p = 0.045; intermediate-risk: 0% vs. 21.4%, p = 0.005). In all risk groups, more patients had paravalvular leakage in the TAVI group than in the SAVR groups. All recorded instances of paravalvular leakage were mild paravalvular leakage (low-risk: 40% vs. 0%, p < 0.001; intermediate-risk: 27% vs. 0%, p = 0.007; high-risk: 42.2% vs. 0%, p = 0.010).
In the low- and intermediate-risk groups, more patients in the TAVI groups had extubation in the operating theater than in the SAVR groups (Low-risk: 80% vs. 0%, p < 0.001; intermediate-risk: 43.2% vs. 0%, p < 0.001). Additionally, in these two risk groups, the TAVI groups had shorter ventilator duration than the SAVR groups (low-risk: 4.3 0.6 vs. 31.7 62.3 h, p = 0.001; intermediate-risk: 36.8 126.6 vs. 474.4 1678.3 h, p < 0.001). In all risk groups, patients in the TAVI group had shorter hospital stays than those of the SAVR group (low-risk: 7.9 5.9 vs. 10.4 3.8, p = 0.005; intermediate-risk: 7.2 7.7 vs. 17.2 17.2, p < 0.001; high-risk: 15.0 24.1 vs. 22.5 20.7, p = 0.029).
The average follow-up times were 3.4 2.3 years and 4.7 3.2 years (p = 0.155) in the TAVI group and the SAVR group with low risk, respectively. Figure 2 shows that the 5-year mortality rates of low-risk patients in the TAVI and SAVR groups were 17.5% and 14.3%, respectively (p = 0.997). In the intermediate-risk group, the average follow-up time of patients in the TAVI group and SAVR group were 2.6 2.5 and 4.2 2.6 years (p = 0.012). There were no significant differences between the TAVI and SAVR groups in the overall mortality, 1-year mortality, and 5-year mortality (Figure 3). In the high-risk group, the average follow-up times of the TAVI and SAVR group were 1.7 1.8 years and 2.2 1.9 years (p = 0.458). The overall mortality of the TAVI group (46.7%) was lower than that of the SAVR group (90.0%, p = 0.015). No significant differences were observed in 1-year mortality and 5-year mortality (Figure 4) between the TAVI and SAVR groups in the high-risk group.
The results of the Cox regression analysis of univariate and multivariate risk factors for mortality are documented in Table 3. For in-hospital mortality, patients with diabetes mellitus (DM) had a 3.71 times greater risk than non-diabetic patients (HR 3.71 (1.12–12.32), p = 0.032) in the multivariate risk factor analysis. Multivariate risk factors that increase the risks of 1-year mortality include STS > 8% (HR 6.03 (1.20–30.46), p = 0.030), re-intubation (HR 4.19 (1.48–11.89), p = 0.007), and acute kidney injury (HR 4.12 (1.74–9.73), p = 0.001). In the multivariate analysis of risk factors for 5-year mortality, STS > 8% (HR 3.13 (1.01–9.74), p = 0.048), PAOD (HR 2.96 (1.13–7.77), p = 0.028), re-intubation (HR 3.87 (1.53–9.82), p = 0.004), and acute kidney injury (HR 3.98 (1.95–8.15), p < 0.001) showed statistically significant differences.
4. Discussion
In this retrospective study conducted at our center, Taiwanese elderly patients were divided into three risk groups and the long-term clinical results of the TAVI and SAVR groups were compared. In high-risk patients, the TAVI group had lower overall mortality and shorter hospital stay than the SAVR group. In contrast, in intermediate-risk patients, the SAVR group had a lower mortality rate than the TAVI group. Based on our limited data, there appeared to be no significant differences in 1-year mortality between our study and the PARTNER trials for overweight patients in these three risk groups [4,5,6].
4.1. Body Mass Index
Moreover, the risk of mortality in our study of elderly Taiwan patients was similar to that of overweight patients in Western countries. However, the results of our univariate regression analysis revealed that patients with BMI < 20 had increased risks of mortality at 1 year and 5 years. Underweight can be caused by multiple factors, which may increase the long-term mortality rate in underweight patients, particularly after SAVR or TAVI [1,14]. A study by Sannino A et al. mentioned that underweight patients also have higher long-term mortality rates after TAVI compared to patients with normal body weight. Additionally, underweight patients are more likely to experience major vascular complications and major or life-threatening bleedings during the procedure, based on VARC-2 definitions. On the other hand, overweight patients have similar procedure complications to those with normal body weight [7]. Thus, BMI < 20 could be a factor for predicting worse outcomes in both the TAVI and SAVR groups.
4.2. Diabetes Mellitus
Patients with diabetes mellitus in our study had a 3.71 times greater risk of 30-day mortality than non-diabetes patients after multivariate regression analysis. It remains controversial as to whether DM could increase the risk of poor outcomes after TAVI. In some studies, DM patients after TAVI did not have significantly reduced survival rates in short- and mid-term outcomes [15,16,17]. However, other studies showed that DM was significantly associated with poor outcomes after TAVI. In these studies, insulin-treated DM patients had a higher risk of death than nondiabetic patients [18,19,20,21]. The severity of diabetes after TAVI could be the key factor in the patients’ outcomes.
4.3. Peripheral Arterial Obstructive Disease
Peripheral arterial obstructive disease (PAOD) was shown to be a risk factor for 5-year mortality after multivariate analysis in our study. In terms of STS score and EuroScore, PAOD is a risk factor that can increase surgical mortality. For TAVI candidate patients under preoperative survey, PAOD is an important item to evaluate, especially for femoral vascular access. Furthermore, based on this meta-analysis, TAVI patients with PAOD had short- (HR 1.36, 95% confidence interval [CI] 1.13–1.63, p = 0.0009), mid- (HR 1.18, 95% CI 1.08–1.30, p = 0.0005), and long-term (HR 1.36, 95% CI 1.24–1.48, p < 0.0001) outcomes that showed a higher risk of mortality [22]. Therefore, PAOD could also be a risk factor to predict short- and long-term outcomes of patients after TAVI [23,24].
4.4. Acute Kidney Injury
Acute kidney injury (AKI) after TAVI and SAVR in our study was an independent risk factor for 1-year and 5-year mortality (HR 4.12 (1.74–9.73), p = 0.001; HR 3.98 (1.95–8.15), p < 0.001). In a meta-analysis, the data revealed that the incidence of AKI was lower after TAVI than after SAVR (7.1% vs. 12.1%, OR 0.52 (0.39–0.68), p < 0.001, I2 = 57%) [25]. However, AKI can impede the benefit of TAVI, because patients with AKI after TAVI were more likely to suffer complications, such as hyperkalemia, pulmonary edema, metabolic acidosis, infection, and red blood transfusion for up to 6 months after intervention [26]. Therefore, the short- and long-term outcomes of TAVI patients with AKI are worse than those of the patients without AKI [27,28,29].
4.5. Research Contributions
This study is indeed a relatively small research outcome, and although the results are comparable to those of other large studies, it should be noted that there is a lack of relevant data on risk group-based grouping in Asian studies. According to our study, we found that Taiwan’s elderly patients had similar outcomes to those of overweight patients in the American population. Therefore, it is reasonable to postulate that patients in the TAVI and SAVR groups with low BMI had worse outcomes than patients with normal and overweight BMI in both groups [1]. Thus, it is important to carefully evaluate low-BMI patients undergoing TAVI or SAVR to determine whether the benefits outweigh the potential harms. For patients with underlying conditions such as DM or PAOD, a multi-disciplinary team is necessary for careful evaluation and management. Additionally, reducing the incidence of AKI could improve the clinical outcomes in these patients.
Furthermore, under the constraints of the health insurance system, our study cannot provide a large number of research outcomes. However, it is worth noting that because of the government-established health insurance system, we can track the postoperative outcomes of the vast majority of patients and ensure that they receive timely treatment if complications occur after surgery. Thus, our study results suggest that under such a health insurance system, we can provide surgical outcomes similar to those in Western countries in a different medical environment.
4.6. Study Limitation
However, there were some limitations in this study. This was a retrospective study with a small number of patients and was conducted in a single institution, and some patients had a mechanical aortic valve prothesis. These factors could affect the long-term outcomes of some patients, such as complications from the use of mechanical valve. Therefore, we intend to collect data from more patients and will divide patients by type of prothesis in future studies.
5. Conclusions
Our study, though limited in scope and size, suggest that Taiwan’s elderly patients in all risk groups may not show significant differences in 1-year and 5-year mortality rates between the TAVI group and the SAVR group. In high-risk patients of the TAVI group (46.7%), the overall mortality rate was higher than in patients of the SAVR group (90.0%, p = 0.015). In contrast, the TAVI group had a shorter hospital stay and a higher rate of paravalvular leakage than patients in the SAVR groups in all risk groups. Multidisciplinary teams should carefully evaluate and manage patients with a BMI < 20 or a medical history of DM or PAOD who are undergoing TAVI or SAVR.
Author Contributions
P.-H.L., Y.-S.W. and H.-J.W. contributed to the conception and design of the study. P.-H.L., S.-R.H., H.-W.T., C.-L.Y. and W.-L.L. contributed to data collection. H.-W.T. and C.-L.Y. contributed to dada validation. S.-R.H. and W.-L.L. supervised program administration. Y.-S.W. analyzed and interpreted the data. P.-H.L. drafted the report, which was critically revised for important intellectual content by H.-J.W. and Y.-S.W. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of Taichung Veterans General Hospital (protocol code CE20330A and date of approval 10 November 2020).
Informed Consent Statement
Not applicable. All patients’ data were collected from a fully “de-identified database” in this retrospective study.
Data Availability Statement
The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.
Acknowledgments
This paper and the research behind it would not have been possible without the exceptional support of all staffs in our cardiovascular center of Taichung Veterans General hospital. In addition, I have to address one important contributor, Chiann-Yi Hsu, a professional statistician from our medical research department, who assisted us in completing all the statistical analysis for this study.
Conflicts 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.
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Figure 1.
The flowchart of patient selection.
Figure 2.
Five-year mortality curves of TAVI and SAVR patients in low-risk group.
Figure 3.
Five-year mortality curves of TAVI and SAVR patients in intermediate-risk group.
Figure 4.
Five-year mortality curves of TAVI and SAVR patients in high-risk group.
Table 1.
Patient baseline characteristics.
| STS Score < 4% | STS Score 4–8% | STS Score > 8% | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Characteristics | TAVI (n = 20) | SAVR (n = 37) | p Value | TAVI (n = 37) | SAVR (n = 28) | p Value | TAVI (n = 45) | SAVR (n = 10) | p Value | ||||||
| Age | 79.6 | ±3.8 | 75.4 | ±3.9 | <0.001 ** | 83.1 | ±5.2 | 79.5 | ±4.6 | 0.015 * | 83.9 | ±6.2 | 74.3 | ±4.1 | <0.001 ** |
| Gender | 0.898 | 0.861 | 1.000 | ||||||||||||
| Female | 11 | (55.0%) | 21 | (56.8%) | 23 | (62.2%) | 18 | (64.3%) | 26 | (57.8%) | 6 | (60.0%) | |||
| Male | 9 | (45.0%) | 16 | (43.2%) | 14 | (37.8%) | 10 | (35.7%) | 19 | (42.2%) | 4 | (40.0%) | |||
| Body height (cm) | 155.4 | ±7.1 | 157.0 | ±8.7 | 0.525 | 155.1 | ±7.2 | 153.3 | ±8.0 | 0.323 | 153.3 | ±8.2 | 153.7 | ±5.4 | 0.662 |
| Body weight (kg) | 63.1 | ±9.1 | 66.3 | ±12.7 | 0.682 | 59.2 | ±10.5 | 57.0 | ±9.2 | 0.317 | 53.9 | ±8.9 | 53.6 | ±10.5 | 0.777 |
| Body mass index | 26.1 | ±2.8 | 26.9 | ±4.7 | 0.907 | 24.5 | ±3.5 | 24.3 | ±3.7 | 0.731 | 22.9 | ±3.6 | 22.7 | ±4.6 | 0.600 |
| Body mass index < 20 f | 1 | (5.0%) | 1 | (2.7%) | 1.000 | 4 | (10.8%) | 5 | (17.9%) | 0.483 | 10 | (22.2%) | 3 | (30.0%) | 0.685 |
| STS score (%) | 2.8 | ±0.7 | 2.5 | ±0.7 | 0.201 | 5.9 | ±1.3 | 5.4 | ±1.2 | 0.131 | 15.4 | ±6.5 | 14.2 | ±5.0 | 0.678 |
| Euroscore II (%) | 2.5 | ±1.1 | 3.3 | ±2.4 | 0.504 | 5.9 | ±4.4 | 6.9 | ±5.7 | 0.781 | 10.4 | ±8.9 | 13.4 | ±8.6 | 0.150 |
| Symptoms and Signs | |||||||||||||||
| Heart failure f | 10 | (50.0%) | 34 | (91.9%) | 0.001 ** | 25 | (67.6%) | 26 | (92.9%) | 0.014 * | 40 | (88.9%) | 10 | (100%) | 0.572 |
| Syncope f | 1 | (5.0%) | 3 | (8.1%) | 1.000 | 3 | (8.1%) | 3 | (10.7%) | 1.000 | 5 | (11.1%) | 3 | (30.0%) | 0.149 |
| Angina | 8 | (40.0%) | 16 | (43.2%) | 0.813 | 11 | (29.7%) | 15 | (53.6%) | 0.052 | 14 | (31.1%) | 6 | (60.0%) | 0.144 |
| Mild symptom f | 8 | (40.0%) | 3 | (8.1%) | 0.011 * | 8 | (21.6%) | 0 | (0%) | 0.008 ** | 5 | (11.1%) | 0 | (0%) | 0.572 |
| NYHA | <0.001 ** | 0.001 ** | 0.072 | ||||||||||||
| 1 | 3 | (15.0%) | 0 | (0%) | 5 | (13.5%) | 0 | (0%) | 1 | (2.2%) | 0 | (0%) | |||
| 2 | 10 | (50.0%) | 4 | (10.8%) | 15 | (40.5%) | 2 | (7.1%) | 18 | (40.0%) | 0 | (0%) | |||
| 3 | 6 | (30.0%) | 32 | (86.5%) | 15 | (40.5%) | 21 | (75.0%) | 16 | (35.6%) | 5 | (50.0%) | |||
| 4 | 1 | (5.0%) | 1 | (2.7%) | 2 | (5.4%) | 5 | (17.9%) | 10 | (22.2%) | 5 | (50.0%) | |||
| Cardiac ultrasonography | |||||||||||||||
| Left ventricular ejection fraction (%) | 59.3 | ±5.0 | 57.8 | ±7.1 | 0.357 | 53.6 | ±10.5 | 49.8 | ±11.7 | 0.227 | 48.1 | ±12.8 | 46.2 | ±14.4 | 0.654 |
| Aortic valve area (cm2) | 0.8 | ±0.1 | 0.8 | ±0.2 | 0.514 | 0.8 | ±0.2 | 0.8 | ±0.3 | 0.268 | 0.8 | ±0.2 | 0.9 | ±0.1 | 0.027 * |
| Mean pressure gradient (mmHg) | 54.4 | ±22.6 | 58.7 | ±21.2 | 0.349 | 44.4 | ±14.4 | 54.2 | ±24.9 | 0.081 | 44.7 | ±17.5 | 49.8 | ±17.2 | 0.341 |
| PA systolic pressure (mmHg) | 34.6 | ±11.6 | 38.6 | ±14.1 | 0.417 | 43.4 | ±14.8 | 39.2 | ±12.4 | 0.286 | 42.4 | ±15.0 | 46.2 | ±11.8 | 0.365 |
| Mitral regurgitation | 0.482 | 0.017 * | 0.124 | ||||||||||||
| 0 | 1 | (5.0%) | 2 | (5.4%) | 0 | (0%) | 1 | (3.6%) | 1 | (2.2%) | 0 | (0%) | |||
| 1 | 13 | (65.0%) | 18 | (48.6%) | 27 | (73.0%) | 10 | (35.7%) | 32 | (71.1%) | 5 | (50.0%) | |||
| 2 | 6 | (30.0%) | 17 | (45.9%) | 10 | (27.0%) | 16 | (57.1%) | 12 | (26.7%) | 4 | (40.0%) | |||
| 3 | 0 | (0%) | 0 | (0%) | 0 | (0%) | 1 | (3.6%) | 0 | (0%) | 1 | (10.0%) | |||
| Clinical history | |||||||||||||||
| Diabetes mellitus | 4 | (20.0%) | 15 | (40.5%) | 0.116 | 11 | (29.7%) | 11 | (39.3%) | 0.420 | 16 | (35.6%) | 5 | (50.0%) | 0.480 |
| Dyslipidemia f | 5 | (25.0%) | 8 | (21.6%) | 0.754 | 7 | (18.9%) | 9 | (32.1%) | 0.220 | 13 | (28.9%) | 2 | (20.0%) | 0.710 |
| Hypertension | 14 | (70.0%) | 25 | (67.6%) | 0.850 | 22 | (59.5%) | 21 | (75.0%) | 0.190 | 35 | (77.8%) | 7 | (70.0%) | 0.685 |
| Atrial fibrillation f | 4 | (20.0%) | 6 | (16.2%) | 0.728 | 10 | (27.0%) | 5 | (17.9%) | 0.385 | 17 | (37.8%) | 4 | (40.0%) | 1.000 |
| Pacemaker | 0 | (0%) | 0 | (0%) | --- | 2 | (5.4%) | 1 | (3.6%) | 1.000 | 1 | (2.2%) | 0 | (0%) | 1.000 |
| COPD f | 3 | (15.0%) | 5 | (13.5%) | 1.000 | 9 | (24.3%) | 6 | (21.4%) | 0.784 | 12 | (26.7%) | 4 | (40.0%) | 0.453 |
| Smoker f | 1 | (5.0%) | 3 | (8.1%) | 1.000 | 6 | (16.2%) | 6 | (21.4%) | 0.592 | 6 | (13.3%) | 2 | (20.0%) | 0.627 |
| Old Stroke f | 2 | (10.0%) | 2 | (5.4%) | 0.607 | 2 | (5.4%) | 1 | (3.6%) | 1.000 | 8 | (17.8%) | 0 | (0%) | 0.326 |
| Uremia f | 2 | (10.0%) | 0 | (0%) | 0.119 | 0 | (0%) | 1 | (3.6%) | 0.431 | 14 | (31.1%) | 6 | (60.0%) | 0.144 |
| Cancer f | 3 | (15.0%) | 0 | (0%) | 0.039 * | 6 | (16.2%) | 2 | (7.1%) | 0.449 | 8 | (17.8%) | 0 | (0%) | 0.326 |
| PAOD | 0 | (0%) | 0 | (0%) | --- | 3 | (8.1%) | 3 | (10.7%) | 1.000 | 4 | (8.9%) | 2 | (20.0%) | 0.298 |
| Coronary artery disease | 7 | (35.0%) | 9 | (24.3%) | 0.392 | 22 | (59.5%) | 13 | (46.4%) | 0.297 | 31 | (68.9%) | 1 | (10.0%) | 0.001 ** |
| Previous MI f | 2 | (10.0%) | 1 | (2.7%) | 0.279 | 6 | (16.2%) | 6 | (21.4%) | 0.592 | 12 | (26.7%) | 1 | (10.0%) | 0.421 |
| s/p CABG | 0 | (0%) | 0 | (0%) | --- | 1 | (2.7%) | 0 | (0%) | 1.000 | 1 | (2.2%) | 0 | (0%) | 1.000 |
| Previous PCI f | 5 | (25.0%) | 2 | (5.4%) | 0.084 | 19 | (51.4%) | 7 | (25.0%) | 0.032 * | 26 | (57.8%) | 1 | (10.0%) | 0.012 * |
| PCI in last 12 months f | 5 | (25.0%) | 0 | (0%) | 0.004 ** | 13 | (35.1%) | 4 | (14.3%) | 0.058 | 24 | (53.3%) | 1 | (10.0%) | 0.015 * |
| Previous cardiac surgery f | 0 | (0%) | 1 | (2.7%) | 1.000 | 0 | (0%) | 0 | (0%) | --- | 1 | (2.2%) | 1 | (10.0%) | 0.333 |
Mann–Whitney U test. f = F-test, Chi-Square test. Fisher’s exact test. * p < 0.05, ** p < 0.01. Continuous data were expressed mean ± SD. Categorical data were expressed as number and percentage. PA = pulmonary artery; COPD = chronic obstructive pulmonary disease; PAOD = peripheral arterial occlusive disease; MI = myocardial infarction; PCI = percutaneous coronary intervention; s/p CABG = status post coronary artery bypass grafting.
Table 2.
Intraoperative and postoperative outcomes.
| STS Score < 4% | STS Score 4–8% | STS Score > 8% | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Outcomes | TAVI (n = 20) | SAVR (n = 37) | p Value | TAVI (n = 37) | SAVR (n = 28) | p Value | TAVI (n = 45) | SAVR (n = 10) | p Value | ||||||
| Combined CABG | 0 | (0%) | 7 | (18.9%) | 0.045 * | 0 | (0%) | 6 | (21.4%) | 0.005 ** | 0 | (0%) | 0 | (0%) | --- |
| Intraoperative Complications f | |||||||||||||||
| Paravalvular leak | 8 | (40.0%) | 0 | (0%) | <0.001 ** | 10 | (27.0%) | 0 | (0%) | 0.007 ** | 19 | (42.2%) | 0 | (0%) | 0.010 * |
| Coronary occlusion | 0 | (0%) | 0 | (0%) | --- | 1 | (2.7%) | 0 | (0%) | 0 | (0%) | 0 | (0%) | --- | |
| Major bleeding | 0 | (0%) | 0 | (0%) | --- | 2 | (5.4%) | 3 | (10.7%) | 0.644 | 8 | (17.8%) | 0 | (0%) | 0.326 |
| Stoke | 0 | (0%) | 0 | (0%) | --- | 0 | (0%) | 0 | (0%) | --- | 1 | (2.2%) | 1 | (10.0%) | 0.333 |
| Major vascular complication f | 1 | (5.0%) | 0 | (0%) | 0.351 | 3 | (8.1%) | 1 | (3.6%) | 0.628 | 3 | (6.7%) | 0 | (0%) | 1.000 |
| Postoperative Complications | |||||||||||||||
| New pacemaker f | 3 | (15.0%) | 2 | (5.4%) | 0.332 | 6 | (16.2%) | 2 | (7.1%) | 0.449 | 8 | (18.2%) | 4 | (40.0%) | 0.203 |
| Re-on Endo f | 1 | (5.0%) | 0 | (0%) | 0.351 | 1 | (2.7%) | 3 | (10.7%) | 0.307 | 4 | (8.9%) | 2 | (20.0%) | 0.298 |
| Acute kidney injury f | 0 | (0%) | 4 | (10.8%) | 0.286 | 7 | (18.9%) | 7 | (25.0%) | 0.555 | 8 | (17.8%) | 3 | (30.0%) | 0.400 |
| Extubation in operation room | 16 | (80.0%) | 0 | (0%) | <0.001 ** | 16 | (43.2%) | 0 | (0%) | <0.001 ** | 12 | (26.7%) | 0 | (0%) | 0.096 |
| Ventilator (hour) | 4.3 | ±0.6 | 31.7 | ±62.3 | 0.001 ** | 36.8 | ±126.6 | 474.4 | ±1678.3 | <0.001 ** | 145.5 | ±397.8 | 183.6 | ±265.1 | 0.237 |
| ICU stay (h) | 107.0 | ±73.6 | 76.3 | ±65.4 | 0.012 * | 356.5 | ±1432.1 | 506.6 | ±1673.9 | 0.491 | 265.5 | ±467.6 | 268.2 | ±333.8 | 0.785 |
| Hospital stay (d) | 7.9 | ±5.9 | 10.4 | ±3.8 | 0.005 ** | 7.2 | ±7.7 | 17.2 | ±17.2 | <0.001 ** | 15.0 | ±24.1 | 22.5 | ±20.7 | 0.029* |
| In-Hospital Mortality f | 0 | (0%) | 1 | (2.7%) | 1.000 | 2 | (5.4%) | 2 | (7.1%) | 1.000 | 5 | (11.1%) | 3 | (30.0%) | 0.149 |
| Cardiac ultrasonography | |||||||||||||||
| Left ventricular ejection fraction (%) | 57.8 | ±5.5 | 56.4 | ±5.1 | 0.240 | 53.8 | ±8.7 | 55.9 | ±5.6 | 0.845 | 51.9 | ±9.1 | 63.0 | ±2.7 | 0.002 ** |
| Aortic valve area (cm2) | 1.8 | ±0.1 | 1.7 | ±0.3 | 0.265 | 1.8 | ±0.3 | 1.6 | ±0.3 | 0.052 | 1.8 | ±0.4 | 1.4 | ±0.2 | 0.012 * |
| Mean pressure gradient (mmHg) | 11.6 | ±4.5 | 14.8 | ±7.2 | 0.191 | 12.6 | ±8.6 | 14.6 | ±7.5 | 0.123 | 12.6 | ±7.0 | 15.0 | ±4.7 | 0.237 |
| PA systolic pressure (mmHg) | 35.1 | ±9.9 | 32.6 | ±7.9 | 0.478 | 40.8 | ±14.8 | 39.0 | ±14.4 | 0.475 | 44.6 | ±14.3 | 42.2 | ±15.2 | 0.889 |
| Follow-up time (year) | 3.4 | ±2.3 | 4.7 | ±3.2 | 0.155 | 2.6 | ±2.5 | 4.2 | ±2.6 | 0.012 * | 1.7 | ±1.8 | 2.2 | ±1.9 | 0.458 |
| Overall mortality f | 2 | (10.0%) | 8 | (21.6%) | 0.467 | 10 | (27.0%) | 12 | (42.9%) | 0.182 | 21 | (46.7%) | 9 | (90.0%) | 0.015 * |
| 1-year mortality f | 0 | (0%) | 2 | (5.4%) | 0.536 | 4 | (10.8%) | 2 | (7.1%) | 0.692 | 17 | (37.8%) | 3 | (30.0%) | 0.731 |
| 5-year mortality f | 2 | (10.0%) | 4 | (10.8%) | 1.000 | 10 | (27.0%) | 7 | (25.0%) | 0.854 | 21 | (46.7%) | 7 | (70.0%) | 0.295 |
| Re-Hospitalization f | 2 | (10.0%) | 8 | (21.6%) | 0.467 | 6 | (16.2%) | 6 | (21.4%) | 0.592 | 8 | (17.8%) | 3 | (30.0%) | 0.400 |
Mann–Whitney U test. f = F-test. Chi-Square test. Fisher’s exact test. * p < 0.05, ** p < 0.01. Continuous data were expressed mean ± SD. Categorical data were expressed as number and percentage. CABG = coronary artery bypass graft; Endo = endotracheal tube; ICU = intensive care unit.
Table 3.
Univariate and multivariate risk factors Cox-regression analysis.
| Univariate | Multivariate | |||||
|---|---|---|---|---|---|---|
| HR | 95%CI | p Value | HR | 95%CI | p Value | |
| In-Hospital Mortality | ||||||
| Group | ||||||
| TAVI | 1.00 | |||||
| AVR | 0.88 | (0.29–2.66) | 0.814 | |||
| Gender | ||||||
| Female | 1.00 | 1.00 | ||||
| Male | 1.55 | (0.52–4.61) | 0.435 | 1.40 | (0.39–5.04) | 0.607 |
| STS score (%) | ||||||
| <4% | 1.00 | 1.00 | ||||
| 4–8% | 2.46 | (0.27–22.88) | 0.428 | 1.83 | (0.18–18.41) | 0.610 |
| >8% | 3.44 | (0.38–30.75) | 0.270 | 2.40 | (0.23–25.23) | 0.465 |
| LVEF | 0.96 | (0.93–1.00) | 0.062 | 0.97 | (0.93–1.02) | 0.283 |
| Diabetes mellitus | 3.24 | (1.05–9.98) | 0.040 * | 3.71 | (1.12–12.32) | 0.032 * |
| PAOD | 2.05 | (0.44–9.57) | 0.362 | 2.28 | (0.44–11.93) | 0.330 |
| 1-year Mortality | ||||||
| Group | ||||||
| TAVI | 1.00 | |||||
| AVR | 0.74 | (0.44–1.24) | 0.253 | |||
| Age | 1.07 | (1.01–1.13) | 0.028 * | 1.00 | (0.94–1.07) | 0.893 |
| Gender | ||||||
| Female | 1.00 | 1.00 | ||||
| Male | 2.42 | (1.14–5.18) | 0.022 * | 1.88 | (0.79–4.49) | 0.156 |
| BMI < 20 | 2.80 | (1.23–6.36) | 0.014 * | 1.03 | (0.40–2.67) | 0.954 |
| STS score (%) | ||||||
| <4% | 1.00 | 1.00 | ||||
| 4–8% | 2.74 | (0.55–13.59) | 0.217 | 1.79 | (0.33–9.78) | 0.499 |
| >8% | 12.57 | (2.94–53.83) | 0.001 ** | 6.03 | (1.20–30.46) | 0.030 * |
| LVEF | 0.97 | (0.94–0.995) | 0.021 * | 0.98 | (0.94–1.01) | 0.202 |
| Diabetes mellitus | 1.25 | (0.58–2.66) | 0.570 | |||
| PAOD | 1.94 | (0.59–6.44) | 0.277 | |||
| Re-on Endo | 11.20 | (4.89–25.66) | <0.001 ** | 4.19 | (1.48–11.89) | 0.007 ** |
| Acute kidney injury | 5.50 | (2.61–11.57) | <0.001 ** | 4.12 | (1.74–9.73) | 0.001 ** |
| 5-year Mortality | ||||||
| Group | ||||||
| TAVI | 1.00 | 1.00 | ||||
| AVR | 0.54 | (0.30–0.97) | 0.040 * | 0.81 | (0.38–1.71) | 0.576 |
| Age | 1.06 | (1.01–1.11) | 0.015 * | 1.01 | (0.95–1.08) | 0.689 |
| BMI < 20 | 2.25 | (1.18–4.31) | 0.014 * | 1.52 | (0.75–3.09) | 0.246 |
| STS score (%) | ||||||
| <4% | 1.00 | 1.00 | ||||
| 4–8% | 2.84 | (1.12–7.20) | 0.028 * | 1.69 | (0.61–4.66) | 0.311 |
| >8% | 8.13 | (3.34–19.77) | <0.001 ** | 3.13 | (1.01–9.74) | 0.048 * |
| LVEF | 0.97 | (0.95–0.99) | 0.015 * | 0.99 | (0.96–1.01) | 0.360 |
| Diabetes mellitus | 1.54 | (0.89–2.68) | 0.124 | |||
| PAOD | 2.91 | (1.23–6.88) | 0.015 * | 2.96 | (1.13–7.77) | 0.028 * |
| Re-on Endo | 8.30 | (3.98–17.29) | <0.001 ** | 3.87 | (1.53–9.82) | 0.004 ** |
| Acute kidney injury | 3.50 | (1.95–6.28) | <0.001 ** | 3.98 | (1.95–8.15) | 0.001 ** |
Cox regression. * p < 0.05, ** p < 0.01. LVEF = left ventricular ejection fraction; PAOD = peripheral arterial occlusive disease; BMI = body mass index; Endo = endotracheal tube.
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Lin, P.-H.; Wei, H.-J.; Hsieh, S.-R.; Tsai, H.-W.; Yu, C.-L.; Lee, W.-L.; Wu, Y.-S. One-Year and Five-Year Outcomes of Transcatheter Aortic Valve Replacement or Surgical Aortic Valve Replacement in a Taiwanese Elderly Population. J. Clin. Med. 2023, 12, 3429. https://doi.org/10.3390/jcm12103429
AMA Style
Lin P-H, Wei H-J, Hsieh S-R, Tsai H-W, Yu C-L, Lee W-L, Wu Y-S. One-Year and Five-Year Outcomes of Transcatheter Aortic Valve Replacement or Surgical Aortic Valve Replacement in a Taiwanese Elderly Population. Journal of Clinical Medicine. 2023; 12(10):3429. https://doi.org/10.3390/jcm12103429
Chicago/Turabian StyleLin, Po-Han, Hao-Ji Wei, Shih-Rong Hsieh, Hung-Wen Tsai, Chu-Leng Yu, Wen-Lieng Lee, and Yung-Szu Wu. 2023. "One-Year and Five-Year Outcomes of Transcatheter Aortic Valve Replacement or Surgical Aortic Valve Replacement in a Taiwanese Elderly Population" Journal of Clinical Medicine 12, no. 10: 3429. https://doi.org/10.3390/jcm12103429
APA StyleLin, P.-H., Wei, H.-J., Hsieh, S.-R., Tsai, H.-W., Yu, C.-L., Lee, W.-L., & Wu, Y.-S. (2023). One-Year and Five-Year Outcomes of Transcatheter Aortic Valve Replacement or Surgical Aortic Valve Replacement in a Taiwanese Elderly Population. Journal of Clinical Medicine, 12(10), 3429. https://doi.org/10.3390/jcm12103429
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