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. 2022 Nov 18;18(10):840–851. doi: 10.4244/EIJ-D-22-00442

Outcomes of isolated tricuspid valve replacement: a systematic review and meta-analysis of 5,316 patients from 35 studies

Andrea Scotti 1,2, Matteo Sturla 3, Juan F Granada 4,5, Susheel K Kodali 6, Augustin Coisne 7,8, Antonio Mangieri 9, Cosmo Godino 10, Edwin Ho 11, Ythan Goldberg 12, Mei Chau 13, Ulrich P Jorde 14, Mario J Garcia 15, Francesco Maisano 16, Vinayak N Bapat 17, Gorav Ailawadi 18, Azeem Latib 19,*
PMCID: PMC10167545  PMID: 36197445

Abstract

Background

Transcatheter tricuspid valve replacement (TTVR) is rapidly emerging as a therapeutic option amongst patients with secondary tricuspid regurgitation. Historical data from surgical tricuspid valve replacement (TVR) studies may serve as a benchmark for the development of TTVR trials.

Aims

The aim of the study was to investigate the early and late outcomes following isolated surgical TVR.

Methods

Multiple electronic databases were searched to identify studies on isolated surgical TVR. The prespecified primary endpoint was operative mortality; secondary endpoints were early and late outcomes. Overall estimates of proportions and incidence rates with 95% confidence intervals (CI) were calculated using random-effects models. Multiple sensitivity analyses accounting for baseline characteristics, country and the operative period were applied.

Results

A total of 35 studies (5,316 patients) were included in this meta-analysis. The operative period ranged from 1974 to 2019. The overall rate of operative mortality was 12% (95% CI: 9-15), with higher mortality for patients who were operated on before 1995, who had prior cardiac surgeries, or who had liver disease. The most frequent clinical events were pacemaker implantation (10% [95% CI: 6-16]), bleeding (12% [95% CI: 8-17]), acute kidney injury (15% [95% CI: 9-24]) and respiratory complications (15% [95% CI: 12-20]). At follow-up analysis of the bioprosthetic TVR, there was an incidence rate per 100 person-years of 6 (95% CI: 2-13) for death and 8 (95% CI: 5-13) for recurrence of significant tricuspid regurgitation.

Conclusions

This meta-analysis provides an overview of the historical clinical outcomes following isolated surgical TVR. These findings can support the development of future clinical trials in the tricuspid space by providing thresholds for clinical outcomes.

Introduction

"One of the most valuable things any person can learn is the art of using the knowledge and experience of others".Napoleon Hill

The presence of clinically significant tricuspid regurgitation (TR) is common and is independently associated with excess mortality1,2. Also, right-sided heart failure is an important public health problem, and several publications support its early treatment3. However, symptomatic TR continues to be undertreated in comparison to left-sided valvular diseases4. This has been mainly attributed to the high mortality and morbidity rates of tricuspid valve (TV) surgery.

The TV has challenging anatomical features that are known predictors of procedural failure and limit the broad application of repair techniques. In contrast to mitral valve surgery, the great majority of TV patients (59%) undergo surgical replacement3,5. Isolated tricuspid valve replacement (TVR) has been found to have an overall mortality risk of ~10%, and this figure has not significantly changed over time5,6. Considering the unwavering mortality risk associated with TV surgery, the sizeable gap between patients with TV disease and those undergoing definitive correction is unlikely to be filled by surgery; therefore, several transcatheter solutions are under investigation to address this unmet clinical need at a lower procedural risk7,8.

Given the growing interest in transcatheter tricuspid valve replacement (TTVR), a more profound understanding of the historical surgical data is fundamental and may serve as a benchmark for developing future therapies9. To date, no randomised controlled trials or systematic literature analyses have examined this procedure. With this background, we performed an up-to-date comprehensive meta-analysis to provide a quantitative assessment of evidence regarding the outcomes after isolated surgical TVR.

Methods

The protocol of this meta-analysis has been registered in PROSPERO (international prospective register of systematic reviews; CRD42021284309) and was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and the Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guidelines (Supplementary Appendix 1, Supplementary Appendix 2)10,11. Given the nature of the work, ethical approval was not required.

Search strategy and study selection

Randomised trials and observational studies on isolated surgical TVR were evaluated for inclusion in this meta-analysis. Prespecified criteria to consider the studies eligible for inclusion were: 1) they reported separate outcome data for patients undergoing isolated TVR; 2) they included at least 10 patients; 3) there were no overlapping populations; 4) there were no exclusively congenital TV diseases; 5) there were no paediatric populations. With the aim of investigating all the literature on isolated TVR as a benchmark for TTVR, we excluded the following from the analyses: 1) patients undergoing surgical tricuspid valve repair and 2) non-isolated TVR. No restriction on the publication date was applied.

A systematic search of the literature was performed in PubMed, EMBASE, Scopus, and Web of Science, from the database's inception up to the final search date of October 10th, 2021. In addition, the reference lists of prior systematic reviews and included articles were screened to find further potentially relevant studies (backward snowballing). The search strings are available in Supplementary Appendix 3. The data underlying this article will be shared upon reasonable request to the corresponding author.

Data extraction and quality assessment

Two reviewers (A. Scotti, M. Sturla) independently searched the electronic bibliographic databases. After the removal of duplicates, the title and abstract were screened to exclude non-relevant studies; subsequently, the full text of the remaining results was retrieved for further appraisal. Discrepancies were discussed and resolved with a senior reviewer (A. Latib). A dedicated electronic database was used for data extraction and included: sample size, operative data, baseline patient characteristics, procedural complications and late outcomes.

Two independent reviewers (A.Scotti, M. Sturla) performed the Risk of Bias In Non-randomised Studies of Interventions (ROBINS-I) assessment tool from the Cochrane handbook assessment for observational studies12.

Outcomes measures

The prespecified primary endpoint was operative mortality, defined as any death that occurred within 30 days after TVR or during the index hospitalisation. Secondary endpoints were early events (stroke, acute kidney injury, renal replacement therapy, bleeding, respiratory complications, pacemaker implantation, and wound infection), late mortality, TV reintervention (surgical or percutaneous), valve thrombosis, structural valve deterioration, and recurrence of at least moderate TR at follow-up. The full list of characteristic and outcome definitions is available in the Supplementary Appendix 4.

Statistical analysis

Baseline characteristics were presented as pooled, weighted means or proportions and 95% confidence intervals (CI). Whenever applicable, the mean±standard deviation was calculated from the reported median and interquartile range according to Wan et al13. Study-level and pooled estimates were reported as proportions or incidence rates with 95% CI, for early and late outcomes, respectively. A random-effects model using the logit transformation with the "empirical Bayes" (Paule-Mandel) estimator was applied for the meta-analysis of proportions14,15. A random-effects model using the log transformation and the maximum-likelihood estimator was used to calculate incidence rates. To account for heterogeneity in follow-up, overall incidence rates were estimated per 100 person-years. If available, the collection of the numbers of actual observations at follow-up was preferred over the whole sample size, avoiding assumptions about any participants for whom the outcome was not measured16. The indirect methods by Tierney and colleagues were adopted to retrieve missing data (i.e., events, time at risk) for incidence rate estimates; when the available information was insufficient, data were retrieved from Kaplan-Meier curves using follow-up time, estimated rates, and numbers at risk assuming random (non-informative) censoring17. A continuity correction of 0.5 has been applied for studies having either zero or all events (i.e., an event probability of either 0 or 1).

Statistical heterogeneity was assessed using Cochran’s Q test and I² values. I² values of less than 25%, 25-50%, or more than 50% were regarded as being indicative of low, moderate or high heterogeneity, respectively18. Publication bias and small-study effect were assessed by visual inspection of funnel plots and using Begg’s test. A Baujat plot, which is a scatter plot with the contribution of each study to the overall heterogeneity (as measured by Cochran’s Q test) on the x-axis and the standardised difference of the overall treatment effect with and without each study on the y-axis, is provided19.

As a sensitivity analysis, a random intercept logistic regression model was used for the meta-analysis of proportions20,21. The potential interaction among continents or operative periods (before 1995 versus after 1995, i.e., median operative time) and treatment effect was investigated with subgroup analyses for the primary endpoint. For this purpose, random-effects models were performed validating the confidence intervals by adjustment according to the Hartung-Knapp-Sidik-Jonkman method22.

Meta-regressions were performed to evaluate the potential impact of several characteristics (year of publication, operative period, continent, estimated risk of bias, age, left ventricular (LV) ejection fraction, prevalence of females, diabetes mellitus, atrial fibrillation, hypertension, TVR with bioprostheses, endocarditis, secondary TR, liver disease, and previous cardiac surgery) on the outcomes of interest. Cumulative and leave-one-out sensitivity analyses were conducted to show how each study might affect the overall estimates. Further sensitivity analyses included the calculation of proportions and incidence rates with 95% CI using fixed-effects models with the Mantel-Haenszel method. Statistical significance was set at a p-value <0.05 (2-sided). All analyses were performed with R, version 4.0.2 (R Foundation for Statistical Computing), packages meta and metafor.

Results

Search results

The search strategy results and study selection process are illustrated in Figure 1 and Supplementary Appendix 2. Thirty-five observational studies were found to be eligible for inclusion in this meta-analysis3,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54. The main features of the included studies are presented in Table 1. The operative period was up to 2019, and the most represented countries were the USA and China. Apart from 6 studies that showed in-hospital outcomes, the others reported up to 14 years of mean follow-up time.

Figure 1. Flowchart of the study selection progress.

Figure 1

TVR: tricuspid valve replacement

Table 1. Key study features.

Study Year Patients Bioprosthetic valve (%) Operative time Country Multicentre (n) Follow-up<§ (years)
Sanfelippo et al 1976 15 0 (0) Up to 1972 USA No 4
Glower et al* 1995 35 35 (100) 1974-1993 USA No In-hospital
Ian Munro et al 1995 30 NR 1975-1992 Canada No 4
Do et al 2000 29 26 (90) 1978-1998 Canada No 6
Mangoni et al 2001 15 5 (33) 1984-1994 USA No 3
Maleszka et al 2004 20 5 (25) 1985-2002 Germany No 3
Solomon et al 2004 33 25 (76) 1996-2002 N. Zealand No 5
Iscan et al 2007 20 NR 1987-2004 Turkey No 6
Tokunaga et al* 2008 31 27 (87) 1975-2004 Japan No 8
Capoun et al 2010 11 8 (73) 1999-2009 UK No 2
Baraki et al* 2013 18 14 (78) 1996-2012 Germany No 6
Kim et al* 2013 14 10 (71) 1996-2010 Republic of Korea No 3
Bevan et al 2014 29 23 (79) 1995-2011 N. Zealand No 14
Buzzatti et al 2014 61 NR 1997-2012 Italy No 5
Farag et al 2017 68 36 (53) 1995-2011 Germany No NR
Hanedan et al* 2017 30 10 (33) 2004-2011 Turkey No 2
Rossello et al 2017 25 0 (0) 1996-2012 Spain No 5
Çakıcı et al 2018 25 22 (88) 2010-2016 Turkey No 2
Chen et al* 2018 118 102 (86) 2003-2016 China No In-hospital
Fang et al* 2018 90 74 (82) 2007-2016 China No 9
Moutakiallah et al 2018 11 5 (45) 2000-2017 Morocco No 6
Di Mauro et al 2019 80 54 (68) 1979-2018 Italy Yes (21) 19
Kundi et al* 2019 2,670 1,737 (65) 2003-2014 USA Yes (841) 1
Liang et al* 2019 76 43 (57) 2010-2017 China No 4
Chen et al* 2020 107 25 (23) 2009-2017 China No 5
Dreyfus et al 2020 273 264 (97) 2007-2017 France Yes (12) 3
Sánchez-EspÃn G et al* 2020 56 48 (86) 1996-2017 Spain No 4
Wong et al 2020 137 NR 2000-2013 Taiwan Yes (NA) 4
Yan et al* 2020 49 49 (100) 2012-2019 China No 2
Kawsara et al* 2021 552 468 (85) 2016-2017 USA Yes (NA) In-hospital
Lee et al 2021 216 NR 2000-2013 Taiwan Yes (NA) 4
Leviner et al 2021 33 31 (94) 2007-2018 Israel Yes (2) 4
Liu et al* 2021 186 145 (78) 1999-2018 China Yes (2) 11
Park et al 2021 106 23 (22) 1996-2018 Republic of Korea No 4
Tafti et al# 2021 47 41 (87) 2010-2018 Iran No 5
§Mean follow-up. *Studies reporting outcome data for bioprosthetic valve group. #Reported data were clarified and confirmed upon contacting corresponding authors. NA: not applicable; NR: not reported

A total of 5,316 patients undergoing isolated TVR were analysed. The baseline characteristics of the study population are reported in Supplementary Table 1. The mean age was 53 (95% CI: 49-56) years, and the majority (63% [95% CI: 57-69]) were female. Six out of 10 patients (60% [95% CI: 27-85]) had previous cardiac surgery. The pooled mean LV ejection fraction was within normal limits (58% [95% CI: 54-61]). Comorbidities, such as diabetes, hypertension and liver disease, were present in less than one-third of patients.

Risk of bias and publication bias

The risk of bias was assessed for every observational study, as shown in Supplementary Table 2. The majority of included studies presented an overall moderate risk of bias. Possible concerns were raised for some studies in the domain of “bias due to confounding” because baseline prognostic characteristics were found to influence the choice of intervention (i.e., TVR).

Visual inspection of the funnel plot and the Begg’s and Mazumdar’s rank correlation tests indicated the absence of significant publication bias and small-study effects. The Baujat plot identified the studies by Tafti et al and Sanfelippo et al as introducing significative heterogeneity and the results of Kundi et al45 as having a higher impact on the summary estimate (Supplementary Figure 1).

Outcomes

The overall random-effects rate of operative mortality, the primary endpoint, was 12% (95% CI: 9-15), with a high degree of heterogeneity (I2: 68%) (Figure 2).

Figure 2. Primary endpoint.

Figure 2

Forest plot of operative mortality. CI: confidence interval

Secondary endpoints were divided into early and late outcomes. Among the early outcomes, we found a 2% (95% CI: 1-4) rate of stroke, 15% (95% CI: 9-24) of acute kidney injury, 7% (95% CI: 3-15) of renal replacement therapy, 12% (95% CI: 8-17) of bleeding, 15% (95% CI: 12-20) of respiratory complications, 10% (95% CI: 6-16) of pacemaker implantation, and 3% (95% CI: 2-6) of wound infection (Table 2). Late outcomes are reported as incidence rates per 100 person-years and are as follows: 6 (95% CI: 4-9) for mortality, 2 (95% CI: 1-3) for the need for percutaneous or surgical reinterventions, 3 (95% CI: 1-6) for structural valve deterioration, 1 (95% CI: 0-2) for valve thrombosis, and 5 (95% CI: 2-13) for the recurrence of moderate or greater TR (Table 2).

Table 2. Early and late outcomes – random effects models.

Outcome Proportion/incidence
rate % (95% CI)
I2 %
(X2 p-value)
N. of studies
Early outcomes
Bleeding 12 (8-17) 83 (<0.01) 17
Acute kidney injury 15 (9-24) 89 (<0.01) 11
Renal replacement therapy 7 (3-15) 63 (0.01) 7
Pacemaker implantation 10 (6-16) 75 (<0.01) 13
Respiratory complication 15 (12-20) 0 (0.56) 7
Stroke 2 (1-4) 74 (<0.01) 9
Wound infection 3 (2-6) 81 (<0.01) 10
Late outcomes
Late mortality* 6 (4-9) 96 (<0.01) 23
Reintervention* 2 (1-3) 64 (<0.01) 15
Structural valve deterioration* 3 (1-6) 82 (<0.01) 9
Valve thrombosis* 1 (0-2) 49 (0.07) 8
Recurrence of TR ≥2* 5 (2-13) 85 (<0.01) 4
Bioprostheses
Late mortality* 6 (2-13) 97 (<0.01) 8
Reintervention* 1 (1-3) 77 (<0.01) 5
Structural valve deterioration* 3 (1-9) 91 (<0.01) 4
Valve thrombosis* 0 (0-1) 68 (0.04) 3
Recurrence of TR ≥2* 8 (5-13) 33 (0.22) 3
*per 100 person-years. CI: confidence interval; TR: tricuspid regurgitation

Bioprostheses

A total of 14 studies reported outcome data for patients undergoing TVR with bioprostheses (Supplementary Table 3). Late outcomes after bio-TVR differed from those observed in the overall cohort for a higher rate of significant TR recurrence (8 [95% CI: 5-13] per 100 person-years), with a similar incidence rate of mortality (6 [95% CI: 2-13] per 100 person-years) (Table 2).

SUBGROUP ANALYSIS AND META-REGRESSION

A subgroup analysis of the primary endpoint, stratifying for the operative period (i.e., before 1995 versus after 1995), found that the mortality rate of 18% (95% CI: 8-35) from the studies examining procedures performed before 1995 was greater than the 11% (95% CI: 8-14) obtained from operations carried out after that date (Figure 3). However, the estimated mortality computed for the most recent studies was similar to the overall one. While investigating the influence of hospital locations (i.e., by continent) on operative mortality, the findings were consistent with the primary analysis, with no significant differences among the 3 subgroups (i.e., North America, Europe, Asia).

Figure 3. Subgroup meta-analysis.

Figure 3

Forest plot of subgroup meta-analysis investigating the impact of the operative period* and continent# on the primary endpoint. * The studies by Iscan et al and Di Mauro et al were excluded because of their operative period. #Africa (n=1) and Oceania (n=2) were excluded because of their underrepresentation. CI: confidence interval

Meta-regression analysis detected a significant impact of previous cardiac surgery, liver disease, and the year of publication on the overall estimate of operative mortality (Supplementary Table 4, Supplementary Figure 2). A trend for lower hospital mortality was apparent with increasing values of left ventricular ejection. Further meta-regression analyses found no significant interactions of baseline clinical and echocardiographic characteristics, risk of bias, endocarditis aetiology and the type of prosthetic valve with the primary endpoint rates.

Sensitivity analyses

The overall estimates of primary and secondary endpoints were computed excluding the studies with patients having an endocarditis aetiology of their tricuspid valve disease, and the results were consistent with the primary analysis for every investigated outcome (Supplementary Table 5). Using fixed-effects models for the overall cohort, the only difference was in late mortality, whose estimate was mainly influenced by the study of Kundi et al45 (19 [95% CI: 18-20] per 100 person-years) (Supplementary Table 6). An alternative meta-analysis using a random intercept logistic-regression model was performed and resulted in similar results compared to the primary analysis (Supplementary Figure 3). Leave-one-out random-effects meta-analyses were used to assess the absence of significant influential studies on the primary endpoint (Supplementary Figure 4). A cumulative meta-analysis confirmed the higher rates of operative mortality for older studies (Supplementary Figure 5).

Discussion

This large systematic review and meta-analysis of 5,316 patients provides an overview of outcomes after isolated surgical TVR (Central illustration). With the aim of guiding future perspectives in the development of transcatheter systems, there are several important takeaways from our study: 1) the overall operative mortality and the need for permanent pacemaker implantation in patients undergoing isolated TVR were 12% (95% CI: 9-15) and 10% (95% CI: 6-16), respectively; 2) long-term data concerning device durability deepen the knowledge regarding the extended efficacy of the bioprosthetic implantation on the TV; 3) providing the first systematic assessment of isolated TVR, this analysis gives critical insight and sets a benchmark for anticipated future TTVR trials.

Central illustration. Surgical outcomes of isolated tricuspid valve replacement.

Central illustration

The 35 included studies investigated isolated surgical tricuspid valve replacement. The pooled outcomes for 5,316 patients are reported as proportions and incidence rates (late) with confidence intervals. AKI: acute kidney injury; SVD: structural valve deterioration; TR: tricuspid regurgitation

Although no data restriction has been applied in the screening phase, a total of 35 studies throughout all the existing literature reported data on isolated surgical TVR. This limited amount of evidence is partially due to the considerable mortality rate of TV surgery6. The risk of treating these patients combined with the perception that TR has minimal prognostic impact are the reasons for the marked undertreatment of TR. However, recent evidence has demonstrated that untreated TR is associated with worse outcomes1,2. Moreover, the natural history of TV disease inexorably leads to progressive right heart failure (HF), resulting in excess mortality and recurrent hospitalisations. If we combine these adverse outcomes with the increasing prevalence of significant TR in an ageing population, it is clear that we are facing an important public health problem.

The absence of evidence-based trial data, the heterogeneous nature of TV disease and the unknown ideal timing for surgery makes it difficult to provide concrete recommendations for TV surgery. Indeed, guideline recommendations are currently based upon expert opinions, with the strongest classes of recommendation assigned to cases undergoing left-sided valve surgery. Isolated TV surgery is reserved for patients with primary TR who have signs and symptoms of right-sided HF (IIa) or progressive right ventricular dilation or systolic dysfunction (IIb), and for patients with severe secondary TR who have signs and symptoms of right-sided HF with a poor response to medical therapy and annular dilation (IIa), or prior left-sided valve surgery and the absence of severe pulmonary hypertension or severe right ventricular dysfunction (IIb)55.

Therefore, the aim of this study was to fill this critical gap. The use of bioprostheses is currently the preferred approach, with a growing trend3, and constitutes an option for emerging TTVR systems. Despite this, the choice to include trials investigating TVR with mechanical valves was made on the basis of several factors. First, there is no impact of prosthetic valve selection on the surgical technique or the periprocedural medical therapy, such as the anticoagulation regimen. Indeed, the incidences of early outcomes were consistent when comparing the bioprosthetic-only group with the overall one, and no effects of valve type were detected on the primary endpoint (Table 2, Supplementary Table 4). Second, the inclusion of studies which did not discriminate between bioprosthetic and mechanical valves allowed us to provide more robust results. This is observed by the addition of 21 studies and 2,529 patients (regarding primary endpoint data) to the overall population, making this analysis the largest and most comprehensive assessment on isolated TVR to date.

Operative mortality

The overall estimated operative mortality was 12%, with a CI ranging from 9 to 15%. After the exclusion of studies with an operative period prior to 1995, the estimated operative mortality for the most recent ones (i.e., after 1995) was in line with the overall one previously reported (11% [95% CI: 8-14]). This finding identifies isolated TVR as having a considerable surgical risk even in recent times, especially when compared to the replacement of other cardiac valves.

Since high-risk patients with aortic valve disease are nowadays treated with the transcatheter solution, data from clinical trials report operative mortality rates for isolated surgical aortic valve replacement of 0.9-1.3% and 1.7-4.1%, for low- and intermediate-risk, respectively56,57,58,59. On the other hand, isolated mitral valve replacement in ~150,000 patients in US hospitals was found to have an operative mortality rate as low as 4%60.

The discrepancy between right- and left-sided surgery might be explained by several concomitant factors. First, patients with TV diseases, especially in the case of secondary TR, present with poor functional classes and significant comorbidities, such as a long history of atrial fibrillation and pulmonary hypertension. Second, isolated TVR is usually performed after previous interventions, particularly on left-sided valves. Third, the timing is usually too late: right ventricular function is already impaired and associated with signs of advanced right HF such as liver dysfunction3. Indeed, even if hypothesis-generating, the results of the meta-regression analysis found a history of prior cardiac surgery and the presence of liver disease as having a significant impact on the overall estimate of operative mortality. These findings support the insights derived from both surgical and transcatheter TV procedures61,62.

Early outcomes

>The procedural complication rates shown in Table 2, in addition to operative mortality, contribute to the reluctance to perform an isolated TVR. While most are common to all major invasive cardiac interventions, the risk of having to implant a permanent pacemaker is typical of this surgery. Since the atrioventricular node is in close proximity to the septal leaflet of the TV, its manipulation can lead to trauma of the surrounding area with subsequent heart block. On the contrary, the risk of stroke could be related to other concomitant factors. Prosthetic valves are associated with thromboembolism, but due to the position of the TV this phenomenon would result mostly in pulmonary emboli, unlike left-sided valve replacements which would lead to strokes.

Late outcomes for bioprosthetic TVR

The incidence rate of mortality after a bioprosthetic TVR was found to be 6 per 100 person-years in the random-effects model, and 22 per 100 person-years in the fixed-effects model (Table 2, Supplementary Table 5). This discrepancy is due to the great heterogeneity among the studies, which, as a result of being observational, included populations with different characteristics that might have influenced this outcome. This is reflected in the discordance of existing literature on the role of TVR on survival. While some studies report an improved survival rate after TV surgery, even in patients with TR and congestive HF63, others found no difference in long-term survival regardless of whether patients with isolated severe TR underwent surgery or medical therapy alone, after accounting for immortal time bias64.

The recurrence of at least moderate TR in the follow-up was not negligible (8 [95% CI: 5-13] per 100 person-years). However, this was accompanied by a much lower rate of reintervention (1 [95% CI: 1-3] per 100 person-years). This could reasonably be due to the growing risk of an already very compromised population having to undergo further major cardiac surgery.

Future perspectives

Epidemiological data show that secondary TR is the most prevalent aetiology in patients undergoing surgical interventions (92.6%) and the one with the lowest indication rates for surgical correction (53.2%)65. As a matter of fact, isolated TV surgery was performed only in 5% of patients included in the EuroSCORE II database66.

In this context, emerging percutaneous procedures appear to be an attractive solution for this substantial unmet clinical need. However, in order to advance TTVR technology, clinical researchers and regulatory bodies need comparative data from surgical isolated TVR. Our results provide a comprehensive extraction of published data surrounding isolated TVR. Results of either mechanical or bioprosthetic TVR are applicable to early outcomes, while results from only bioprosthetic TVR can be used for insight into TTVR durability studies. Among all TVR, the outcome data for operative mortality and permanent pacemaker implantation, critical outcomes of interest in the development of TTVR devices, should be set as the thresholds for outcomes to be utilised in prospective TTVR trials.

Of note, patients undergoing surgical TVR were relatively young (mean age 53 years), with good left ventricular function (mean ejection fraction 58%), and with few comorbidities, such as diabetes (13%), hypertension (23%), or liver disease (31%). These figures underline a selection bias in the surgical series, which include only patients deemed at an acceptable surgical risk and exclude the most advanced population. This warrants precaution when generalising the results of this meta-analysis to extreme-risk patients, such as those treated in compassionate-use studies of pioneering TTVR devices7,8,9. However, despite the baseline risk profile of patients and the absence of an appropriate learning curve, the outcomes observed in these studies are promising. As soon as further data proves TTVR to be efficacious and acceptably safe, it will be possible to push even more in favour of this technology. For this purpose, having an in-depth knowledge of surgical TVR, with its results and pitfalls, is essential for a rigorous evaluation and to promote those developing percutaneous therapies by serving as the legitimate benchmark.

Limitations

The results of the present meta-analysis have to be interpreted whilst acknowledging the following limitations. Since no randomised controlled trials investigated surgical TVR, all the included studies were observational and, thus, susceptible to error regarding patient selection and characteristics. As such, the results were affected by significant degrees of heterogeneity and should be interpreted according to their range distribution rather than point estimates. This is a study-level meta-analysis, and its findings are average pooled rates. The computation of person-years at risk was performed using study-level follow-up time when no data on the dropout date or number of days were available. Since a patient-level analysis for these 35 studies was not feasible, meta-regression analyses tested study-level characteristics, and their results should be considered as hypothesis-generating. The population was heterogeneous in terms of TV disease aetiologies, prior cardiac surgeries, and surgical experience or hospital operating volume. However, given the paucity of published evidence, the findings of this meta-analysis depict the full spectrum of patients undergoing isolated TVR.

Conclusions

This systematic review and meta-analysis provides an overview of the early and late outcomes after isolated surgical TVR. The results can support patients and doctors in the clinical decision-making for TVR and may serve as a benchmark for developing percutaneous therapies.

Impact on daily practice

Transcatheter tricuspid valve replacement (TTVR) is rapidly emerging as a therapeutic option amongst patients with secondary tricuspid regurgitation. The findings of this meta-analysis can support the clinical decision-making for tricuspid valve replacement (TVR) and may set the threshold for outcomes to be utilised in prospective TTVR trials. Surgical long-term TVR data may serve as a benchmark for developing TTVR systems. Late outcomes may inform on the bioprosthetic durability of the tricuspid valve.

Supplementary data

Supplementary Appendix 1

PRISMA checklist.

Supplementary Appendix 2

MOOSE reporting checklist.

Supplementary Appendix 3

Database search results.

Supplementary Appendix 4

Definitions.

Supplementary Table 1

Baseline characteristics of included patients.

Supplementary Table 2

Risk of bias assessment - observational studies.

Supplementary Table 3

Key study features - bioprosthetic tricuspid valve replacement.

Supplementary Table 4

Meta-regression analysis.

Supplementary Table 5

Early and late outcomes - no endocarditis.

Supplementary Table 6

Early and late outcomes - fixed effects models.

Supplementary Figure 1

Funnel plot and Baujat plot.

Supplementary Figure 2

Bubble plots for meta-regression analysis.

Supplementary Figure 3

Meta-analysis using a random intercept logistic regression model.

Supplementary Figure 4

Leave-one-out meta-analysis.

Supplementary Figure 5

Cumulative meta-analysis.

Acknowledgments

Conflict of interest statement

The authors have no conflicts of interest relevant to the contents of this paper to disclose.

Abbreviations

CI

confidence interval

HF

heart failure

TR

tricuspid regurgitation

TTVR

transcatheter tricuspid valve replacement

TV

tricuspid valve

TVR

tricuspid valve replacement

Contributor Information

Andrea Scotti, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA; Cardiovascular Research Foundation, New York, NY, USA.

Matteo Sturla, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.

Juan F. Granada, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA; Cardiovascular Research Foundation, New York, NY, USA.

Susheel K. Kodali, Division of Cardiology, New York-Presbyterian Hospital/Columbia University Irving Medical Center, New York, NY, USA.

Augustin Coisne, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA; Cardiovascular Research Foundation, New York, NY, USA.

Antonio Mangieri, Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy and Cardio Center, Humanitas Research Hospital IRCCS, Rozzano, Italy.

Cosmo Godino, Cardio-Thoracic-Vascular Department, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Edwin Ho, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.

Ythan Goldberg, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.

Mei Chau, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.

Ulrich P. Jorde, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.

Mario J. Garcia, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.

Francesco Maisano, Cardio-Thoracic-Vascular Department, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Vinayak N. Bapat, Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, MN, USA.

Gorav Ailawadi, Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA.

Azeem Latib, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.

References

  1. Topilsky Y, Maltais S, Medina Inojosa, Oguz D, Michelena H, Maalouf J, Mahoney DW, Enriquez-Sarano M. Burden of tricuspid regurgitation in patients diagnosed in the community setting. JACC Cardiovasc Imaging. 2019;12:433–42. doi: 10.1016/j.jcmg.2018.06.014. [DOI] [PubMed] [Google Scholar]
  2. Chorin E, Rozenbaum Z, Topilsky Y, Konigstein M, Ziv-Baran T, Richert E, Keren G, Banai S. Tricuspid regurgitation and long-term clinical outcomes. Eur Heart J Cardiovasc Imaging. 2020;21:157–65. doi: 10.1093/ehjci/jez216. [DOI] [PubMed] [Google Scholar]
  3. Dreyfus J, Flagiello M, Bazire B, Eggenspieler F, Viau F, Riant E, Mbaki Y, Bohbot Y, Eyharts D, Senage T, Dubrulle H, Nicol M, Doguet F, Nguyen V, Coisne A, Le Tourneau, Lavie-Badie Y, Tribouilloy C, Donal E, Tomasi J, Habib G, Selton-Suty C, Raffoul R, Iung B, Obadia JF, Messika-Zeitoun D. Isolated tricuspid valve surgery: impact of aetiology and clinical presentation on outcomes. Eur Heart J. 2020;41:4304–17. doi: 10.1093/eurheartj/ehaa643. [DOI] [PubMed] [Google Scholar]
  4. Kilic A, Grimm JC, Magruder JT, Sciortino CM, Whitman GJ, Baumgartner WA, Conte JV. Trends, clinical outcomes, and cost implications of mitral valve repair versus replacement, concomitant with aortic valve replacement. J Thorac Cardiovasc Surg. 2015;149:1614–9. doi: 10.1016/j.jtcvs.2015.02.044. [DOI] [PubMed] [Google Scholar]
  5. Zack CJ, Fender EA, Chandrashekar P, Reddy YNV, Bennett CE, Stulak JM, Miller VM, Nishimura RA. National trends and outcomes in isolated tricuspid valve surgery. J Am Coll Cardiol. 2017;70:2953–60. doi: 10.1016/j.jacc.2017.10.039. [DOI] [PubMed] [Google Scholar]
  6. Vassileva CM, Shabosky J, Boley T, Markwell S, Hazelrigg S. Tricuspid valve surgery: the past 10 years from the Nationwide Inpatient Sample (NIS) database. J Thorac Cardiovasc Surg. 2012;143:1043–9. doi: 10.1016/j.jtcvs.2011.07.004. [DOI] [PubMed] [Google Scholar]
  7. Fam NP, von Bardeleben RS, Hensey M, Kodali SK, Smith RL, Hausleiter J, Ong G, Boone R, Ruf T, George I, Szerlip M, Nabauer M, Ali FM, Moss R, Bapat V, Schnitzler K, Kreidel F, Ye J, Deva DP, Mack MJ, Grayburn PA, Peterson MD, Leon MB, Hahn RT, Webb JG. Transfemoral Transcatheter Tricuspid Valve Replacement With the EVOQUE System: A Multicenter, Observational, First-in-Human Experience. JACC Cardiovasc Interv. 2021;14:501–11. doi: 10.1016/j.jcin.2020.11.045. [DOI] [PubMed] [Google Scholar]
  8. Hahn RT, Kodali S, Fam N, Bapat V, Bartuś K, Rodés-Cabau J, Dagenais F, Estevez-Loureiro R, Forteza A, Kapadia S, Latib A, Maisano F, McCarthy P, Navia J, Ong G, Peterson M, Petrossian G, Pozzoli A, Reinartz M, Ricciardi MJ, Robinson N, Sievert H, Taramasso M, Agarwal V, Bèdard E, Tarantini G, Colli A. Early Multinational Experience of Transcatheter Tricuspid Valve Replacement for Treating Severe Tricuspid Regurgitation. JACC Cardiovasc Interv. 2020;13:2482–93. doi: 10.1016/j.jcin.2020.07.008. [DOI] [PubMed] [Google Scholar]
  9. Latib A, Scotti A. Transfemoral Transcatheter Tricuspid Valve Replacement: Will TV Repair Be Replaced? JACC Cardiovasc Interv. 2022;15:492–5. doi: 10.1016/j.jcin.2022.02.001. [DOI] [PubMed] [Google Scholar]
  10. Moher D, Liberati A, Tetzlaff J, Altman DG PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097. doi: 10.1371/journal.pmed.1000097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, Moher D, Becker BJ, Sipe TA, Thacker SB. 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. [DOI] [PubMed] [Google Scholar]
  12. Sterne JA, Hernán MA, Reeves BC, Savović J, Berkman ND, Viswanathan M, Henry D, Altman DG, Ansari MT, Boutron I, Carpenter JR, Chan AW, Churchill R, Deeks JJ, Hróbjartsson A, Kirkham J, Jüni P, Loke YK, Pigott TD, Ramsay CR, Regidor D, Rothstein HR, Sandhu L, Santaguida PL, Schünemann HJ, Shea B, Shrier I, Tugwell P, Turner L, Valentine JC, Waddington H, Waters E, Wells GA, Whiting PF, Higgins JP. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;355:i4919. doi: 10.1136/bmj.i4919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol. 2014;14:135. doi: 10.1186/1471-2288-14-135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Veroniki AA, Jackson D, Viechtbauer W, Bender R, Bowden J, Knapp G, Kuss O, Higgins JP, Langan D, Salanti G. Methods to estimate the between-study variance and its uncertainty in meta-analysis. Res Synth Methods. 2016;7:55–79. doi: 10.1002/jrsm.1164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Borenstein M, Hedges LV, Higgins JP, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods. 2010;1:97–111. doi: 10.1002/jrsm.12. [DOI] [PubMed] [Google Scholar]
  16. Chapter 6: Choosing effect measures and computing estimates of effect | Cochrane Training n.d. https://training.cochrane.org/handbook/current/chapter-06 (Last accessed 24 Aug 2022). [Google Scholar]
  17. Tierney JF, Stewart LA, Ghersi D, Burdett S, Sydes MR. Practical methods for incorporating summary time-to-event data into meta-analysis. Trials. 2007;8:16. doi: 10.1186/1745-6215-8-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60. doi: 10.1136/bmj.327.7414.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Baujat B, Mahé C, Pignon JP, Hill C. A graphical method for exploring heterogeneity in meta-analyses: application to a meta-analysis of 65 trials. Stat Med. 2002;21:2641–52. doi: 10.1002/sim.1221. [DOI] [PubMed] [Google Scholar]
  20. Stijnen T, Hamza TH, Ozdemir P. Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data. Stat Med. 2010;29:3046–67. doi: 10.1002/sim.4040. [DOI] [PubMed] [Google Scholar]
  21. Schwarzer G, Chemaitelly H, Abu-Raddad LJ, Rücker G. Seriously misleading results using inverse of Freeman-Tukey double arcsine transformation in meta-analysis of single proportions. Res Synth Methods. 2019;10:476–83. doi: 10.1002/jrsm.1348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Hartung J, Knapp G. A refined method for the meta-analysis of controlled clinical trials with binary outcome. Stat Med. 2001;20:3875–89. doi: 10.1002/sim.1009. [DOI] [PubMed] [Google Scholar]
  23. Sanfelippo PM, Giuliani ER, Danielson GK, Wallace RB, Pluth JR, McGoon DC. Triscupid valve prosthesis replacement. Early and late results with the Starr-Edwards prosthesis. J Thorac Cardiovasc Surg. 1976;71:441–5. [PubMed] [Google Scholar]
  24. Glower DD, White WD, Smith LR, Young WG, Oldham HN, Wolfe WG, Lowe JE. In-hospital and long-term outcome after porcine tricuspid valve replacement. J Thorac Cardiovasc Surg. 1995;109:877–83. doi: 10.1016/S0022-5223(95)70311-X. [DOI] [PubMed] [Google Scholar]
  25. Munro AI, Jamieson WR, Tyers GF, Germann E. Tricuspid valve replacement: porcine bioprostheses and mechanical prostheses. Ann Thorac Surg. 1995;60:S470–3. doi: 10.1016/0003-4975(95)00271-l. [DOI] [PubMed] [Google Scholar]
  26. Do QB, Pellerin M, Carrier M, Cartier R, Hébert Y, Pagé P, Perrault LP, Pelletier LC. Clinical outcome after isolated tricuspid valve replacement: 20-year experience. Can J Cardiol. 2000;16:489–93. [PubMed] [Google Scholar]
  27. Mangoni AA, DiSalvo TG, Vlahakes GJ, Polanczyk CA, Fifer MA. Outcome following isolated tricuspid valve replacement. Eur J Cardiothorac Surg. 2001;19:68–73. doi: 10.1016/s1010-7940(00)00598-4. [DOI] [PubMed] [Google Scholar]
  28. Solomon NA, Lim RC, Nand P, Graham KJ. Tricuspid valve replacement: bioprosthetic or mechanical valve? Asian Cardiovasc Thorac Ann. 2004;12:143–8. doi: 10.1177/021849230401200213. [DOI] [PubMed] [Google Scholar]
  29. Iscan ZH, Vural KM, Bahar I, Mavioglu L, Saritas A. What to expect after tricuspid valve replacement? Long-term results. Eur J Cardiothorac Surg. 2007;32:296–300. doi: 10.1016/j.ejcts.2007.05.003. [DOI] [PubMed] [Google Scholar]
  30. Tokunaga S, Masuda M, Shiose A, Tomita Y, Morita S, Tominaga R. Long-term results of isolated tricuspid valve replacement. Asian Cardiovasc Thorac Ann. 2008;16:25–8. doi: 10.1177/021849230801600107. [DOI] [PubMed] [Google Scholar]
  31. Capoun R, Thomas M, Caputo M, Asimakopoulos G. Surgical treatment of tricuspid valve endocarditis: a single-centre experience. Perfusion. 2010;25:169–73. doi: 10.1177/0267659110371857. [DOI] [PubMed] [Google Scholar]
  32. Baraki H, Saito S, Al Ahmad, Fleischer B, Schmitto J, Haverich A, Kutschka I. Surgical treatment for isolated tricuspid valve endocarditis- long-term follow-up at a single institution. Circ J. 2013;77:2032–7. doi: 10.1253/circj.cj-12-1364. [DOI] [PubMed] [Google Scholar]
  33. Kim JB, Jung SH, Choo SJ, Chung CH, Lee JW. Clinical and echocardiographic outcomes after surgery for severe isolated tricuspid regurgitation. J Thorac Cardiovasc Surg. 2013;146:278–84. doi: 10.1016/j.jtcvs.2012.04.019. [DOI] [PubMed] [Google Scholar]
  34. Bevan PJ, Haydock DA, Kang N. Long-term survival after isolated tricuspid valve replacement. Heart Lung Circ. 2014;23:697–702. doi: 10.1016/j.hlc.2014.02.011. [DOI] [PubMed] [Google Scholar]
  35. Buzzatti N, Iaci G, Taramasso M, Nisi T, Lapenna E, De Bonis, Maisano F, Alfieri O. Long-term outcomes of tricuspid valve replacement after previous left-side heart surgery. Eur J Cardiothorac Surg. 2014;46:713–9. doi: 10.1093/ejcts/ezt638. [DOI] [PubMed] [Google Scholar]
  36. Farag M, Arif R, Sabashnikov A, Zeriouh M, Popov AF, Ruhparwar A, Schmack B, Dohmen PM, Szabó G, Karck M, Weymann A. Repair or Replacement for Isolated Tricuspid Valve Pathology? Insights from A Surgical Analysis on Long-Term Survival. Med Sci Monit. 2017;23:1017–25. doi: 10.12659/MSM.900841. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Hanedan MO, Çiçekçioğlu F, Aksöyek A, Diken Aİ, Ünal EU, Parlar Aİ, Katırcıoğlu SF. Tricuspid Valve Replacement Through Right Thoracotomy has Better Outcomes in Redo Cases. Heart Lung Circ. 2017;26:88–93. doi: 10.1016/j.hlc.2016.05.118. [DOI] [PubMed] [Google Scholar]
  38. Rossello X, Muñoz-Guijosa C, Mena E, Camprecios M, Mendez AB, Borras X, Padro JM. Tricuspid valve replacement with mechanical prostheses: Short and long-term outcomes. J Card Surg. 2017;32:542–9. doi: 10.1111/jocs.13193. [DOI] [PubMed] [Google Scholar]
  39. Çakici M, Özçinar E, Baran Ç, Gümüş F, Durdu MS, Inan MB, Eryilmaz S, Akar AR. Tricuspid valve surgery in implantable cardiac electronic device-related endocarditis: Repair or replace? Turk Gogus Kalp Damar Cerrahisi Derg. 2018;26:183–91. doi: 10.5606/tgkdc.dergisi.2018.14790. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Chen J, Abudupataer M, Hu K, Maimaiti A, Lu S, Wei L, Hong T, Wang C. Risk factors associated with perioperative morbidity and mortality following isolated tricuspid valve replacement. J Surg Res. 2018;221:224–31. doi: 10.1016/j.jss.2017.08.014. [DOI] [PubMed] [Google Scholar]
  41. Fang L, Li W, Zhang W, Gu W, Zhu D. Mid-term results and risks of isolated tricuspid valve reoperation following left-sided valve surgery. Eur J Cardiothorac Surg. 2018;53:1034–9. doi: 10.1093/ejcts/ezx453. [DOI] [PubMed] [Google Scholar]
  42. Moutakiallah Y, Aithoussa M, Atmani N, Seghrouchni A, Moujahid A, Hatim A, Asfalou I, Lakhal Z, Boulahya A. Reoperation for isolated rheumatic tricuspid regurgitation. J Cardiothorac Surg. 2018;13:104. doi: 10.1186/s13019-018-0793-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Chen C, Ge M, Ye J, Cheng Y, Chen T, Lu L, Wang Z, Wang D. The Risk and Outcomes of Reoperative Tricuspid Valve Replacement Surgery. Heart Surg Forum. 2020;23:E658–64. doi: 10.1532/hsf.2981. [DOI] [PubMed] [Google Scholar]
  44. Di Mauro, Foschi M, Dato GMA, Centofanti P, Barili F, Corte AD, Ratta ED, Cugola D, Galletti L, Santini F, Salsano A, Rinaldi M, Mancuso S, Cappabianca G, Beghi C, De Vincentiis, Biondi A, Livi U, Sponga S, Pacini D, Murana G, Scrofani R, Antona C, Cagnoni G, Nicolini F, Benassi F, De Bonis, Pozzoli A, Casali G, Scrascia G, Falcetta G, Bortolotti U, Musumeci F, Gherli R, Vizzardi E, Salvador L, Picichè M, Paparella D, Margari V, Troise G, Villa E, Dossena Y, Lucarelli C, Onorati F, Faggian G, Mariscalco G, Maselli D, Parolari A, Lorusso R Italian Group of Research for Outcome in Cardiac Surgery (GIROC) Surgical treatment of isolated tricuspid valve infective endocarditis: 25-year results from a multicenter registry. Int J Cardiol. 2019;292:62–7. doi: 10.1016/j.ijcard.2019.05.020. [DOI] [PubMed] [Google Scholar]
  45. Kundi H, Popma JJ, Cohen DJ, Liu DC, Laham RJ, Pinto DS, Chu LM, Strom JB, Shen C, Yeh RW. Prevalence and Outcomes of Isolated Tricuspid Valve Surgery Among Medicare Beneficiaries. Am J Cardiol. 2019;123:132–8. doi: 10.1016/j.amjcard.2018.09.016. [DOI] [PubMed] [Google Scholar]
  46. Sánchez-Espín G, Rodríguez-Capitán J, Otero-Forero JJ, Becerra-Muñoz VM, Rodríguez-Caulo EA, Such-Martínez M, Porras-Martín C, Villaescusa-Catalán JM, Mataró-López MJ, Guzón-Rementería A, Melero-Tejedor JM, Gutiérrez-Carretero E, Jiménez-Navarro MF. Outcomes of Isolated Tricuspid Valve Surgery. Heart Surg Forum. 2020;23:E763–9. doi: 10.1532/hsf.3093. [DOI] [PubMed] [Google Scholar]
  47. Wong WK, Chen SW, Chou AH, Lee HA, Cheng YT, Tsai FC, Lee KT, Wu VC, Wang CL, Chang SH, Chu PH. Late Outcomes of Valve Repair Versus Replacement in Isolated and Concomitant Tricuspid Valve Surgery: A Nationwide Cohort Study. J Am Heart Assoc. 2020;9:e015637. doi: 10.1161/JAHA.119.015637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Yan L, Zheng F, Chen H, Bao J, Weng G. Uni-Port Total Thoracoscopic Surgery Versus Median Sternotomy For Redo Tricuspid Valve Replacement: A Retrospective Study. Heart Surg Forum. 2020;23:E350–7. doi: 10.1532/hsf.2967. [DOI] [PubMed] [Google Scholar]
  49. Kawsara A, Alqahtani F, Nkomo VT, Eleid MF, Pislaru SV, Rihal CS, Nishimura RA, Schaff H, Crestanello JA, Alkhouli M. Determinants of Morbidity and Mortality Associated With Isolated Tricuspid Valve Surgery. J Am Heart Assoc. 2021;10:e018417. doi: 10.1161/JAHA.120.018417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Lee HA, Chou AH, Wu VCC, Chan YS, Cheng YT, Chang CH, Chang SH, Hung KC, Chu PH, Chen SW. Nationwide cohort study of tricuspid valve repair versus replacement for infective endocarditis. Eur J Cardiothorac Surg. 2021;59:878–86. doi: 10.1093/ejcts/ezaa390. [DOI] [PubMed] [Google Scholar]
  51. Leviner DB, Friedman T, Zafrir B, Arazi M, Weis A, Bolotin G, Sharoni E. Midterm Results of Isolated Tricuspid Valve Replacement – Implications for Clinical Decision Making. Ann Thorac Surg. 2022;113:793–9. doi: 10.1016/j.athoracsur.2021.03.104. [DOI] [PubMed] [Google Scholar]
  52. Liu P, Xia DS, Qiao WH, Hu D, Ahmed A, Dong NG, Chen S. Which is the best prosthesis in an isolated or combined tricuspid valve replacement? Eur J Cardiothorac Surg. 2021;59:170–9. doi: 10.1093/ejcts/ezaa273. [DOI] [PubMed] [Google Scholar]
  53. Park SJ, Oh JK, Kim SO, Lee SA, Kim HJ, Lee S, Jung SH, Song JM, Choo SJ, Kang DH, Chung CH, Song JK, Lee JW, Kim DH, Kim JB. Determinants of clinical outcomes of surgery for isolated severe tricuspid regurgitation. Heart. 2021;107:403–10. doi: 10.1136/heartjnl-2020-317715. [DOI] [PubMed] [Google Scholar]
  54. Tafti SHA, Alaeddini F, Shirzad M, Bagheri J, Omran AS, Mahalleh M, Shoja S, Omidi N. Isolated tricuspid valve surgery; long-term outcomes based on Tehran Heart Center data bank report. J Cardiothorac Surg. 2021;16:19. doi: 10.1186/s13019-021-01394-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Writing Committee, Otto CM, Nishimura RA, Bonow RO, Carabello BA, Erwin JP, Gentile F, Jneid H, Krieger EV, Mack M, Mcleod C, Gara PT, Thompson A, Toly C. 2020 ACC/AHA Guideline for the Management of Patients With Valvular Heart Disease: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol. 2021;77:e25–197. doi: 10.1016/j.jacc.2020.11.018. [DOI] [PubMed] [Google Scholar]
  56. Popma JJ, Deeb GM, Yakubov SJ, Mumtaz M, Gada H, O’Hair D, Bajwa T, Heiser JC, Merhi W, Kleiman NS, Askew J, Sorajja P, Rovin J, Chetcuti SJ, Adams DH, Teirstein PS, Zorn GL, Forrest JK, Tchetche D, Resar J, Walton A, Piazza N, Ramlawi B, Robinson N, Petrossian G, Gleason TG, Oh JK, Boulware MJ, Qiao H, Mugglin AS, Reardon MJ Evolut Low Risk Trial Investigators. 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. [DOI] [PubMed] [Google Scholar]
  57. Mack MJ, Leon MB, Thourani VH, Makkar R, Kodali SK, Russo M, Kapadia SR, Malaisrie SC, Cohen DJ, Pibarot P, Leipsic J, Hahn RT, Blanke P, Williams MR, McCabe JM, Brown DL, Babaliaros V, Goldman S, Szeto WY, Genereux P, Pershad A, Pocock SJ, Alu MC, Webb JG, Smith CR PARTNER 3 Investigators. 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. [DOI] [PubMed] [Google Scholar]
  58. Leon MB, Smith CR, Mack MJ, Makkar RR, Svensson LG, Kodali SK, Thourani VH, Tuzcu EM, Miller DC, Herrmann HC, Doshi D, Cohen DJ, Pichard AD, Kapadia S, Dewey T, Babaliaros V, Szeto WY, Williams MR, Kereiakes D, Zajarias A, Greason KL, Whisenant BK, Hodson RW, Moses JW, Trento A, Brown DL, Fearon WF, Pibarot P, Hahn RT, Jaber WA, Anderson WN, Alu MC, Webb JG PARTNER 2 Investigators. Transcatheter or Surgical Aortic Valve Replacement in Intermediate-Risk Patients. N Engl J Med. 2016;374:1609–20. doi: 10.1056/NEJMoa1514616. [DOI] [PubMed] [Google Scholar]
  59. Reardon MJ, Van Mieghem, Popma JJ, Kleiman NS, Sondergaard L, Mumtaz M, Adams DH, Deeb GM, Maini B, Gada H, Chetcuti S, Gleason T, Heiser J, Lange R, Merhi W, Oh JK, Olsen PS, Piazza N, Williams M, Windecker S, Yakubov SJ, Grube E, Makkar R, Lee JS, Conte J, Vang E, Nguyen H, Chang Y, Mugglin AS, Serruys PW, Kappetein AP SURTAVI Investigators. Surgical or Transcatheter Aortic-Valve Replacement in Intermediate-Risk Patients. N Engl J Med. 2017;376:1321–31. doi: 10.1056/NEJMoa1700456. [DOI] [PubMed] [Google Scholar]
  60. Zhou S, Egorova N, Moskowitz G, Giustino G, Ailawadi G, Acker MA, Gillinov M, Moskowitz A, Gelijns A. Trends in MitraClip, mitral valve repair, and mitral valve replacement from 2000 to 2016. J Thorac Cardiovasc Surg. 2021;162:551–62. doi: 10.1016/j.jtcvs.2019.12.097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Sala A, Lorusso R, Bargagna M, Ruggeri S, Buzzatti N, Scandroglio M, Monaco F, Agricola E, Giacomini A, Carino D, Meneghin R, Schiavi D, Lapenna E, Denti P, Blasio A, Alfieri O, Castiglioni A, De Bonis. Complicated postoperative course in isolated tricuspid valve surgery: Looking for predictors. J Card Surg. 2021;36:3092–9. doi: 10.1111/jocs.15739. [DOI] [PubMed] [Google Scholar]
  62. Tanaka T, Kavsur R, Sugiura A, Vogelhuber J, Öztürk C, Weber M, Tiyerili V, Zimmer S, Nickenig G, Becher MU. Prognostic impact of hepatorenal function in patients undergoing transcatheter tricuspid valve repair. Sci Rep. 2021;11:14420. doi: 10.1038/s41598-021-93952-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Kadri AN, Menon V, Sammour YM, Gajulapalli RD, Meenakshisundaram C, Nusairat L, Mohananey D, Hernandez AV, Navia J, Krishnaswamy A, Griffin B, Rodriguez L, Harb SC, Kapadia S. Outcomes of patients with severe tricuspid regurgitation and congestive heart failure. Heart. 2019;105:1813–7. doi: 10.1136/heartjnl-2019-315004. [DOI] [PubMed] [Google Scholar]
  64. Axtell AL, Bhambhani V, Moonsamy P, Healy EW, Picard MH, Sundt TM, Wasfy JH. Surgery does not improve survival in patients with isolated severe tricuspid regurgitation. J Am Coll Cardiol. 2019;74:715–25. doi: 10.1016/j.jacc.2019.04.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Vieitez JM, Monteagudo JM, Mahia P, Perez L, Lopez T, Marco I, Perone F, González T, Sitges M, Bouzas A, González-Salvado V, Li CH, Alonso D, Carrasco F, Adeba A, de la, Fernandez-Golfin C, Zamorano JL. New insights of tricuspid regurgitation: a large-scale prospective cohort study. Eur Heart J Cardiovasc Imaging. 2021;22:196–202. doi: 10.1093/ehjci/jeaa205. [DOI] [PubMed] [Google Scholar]
  66. Nashef SA, Roques F, Sharples LD, Nilsson J, Smith C, Goldstone AR, Lockowandt U. EuroSCORE II. Eur J Cardiothorac Surg. 2012;41:734–44. doi: 10.1093/ejcts/ezs043. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Appendix 1

PRISMA checklist.

Supplementary Appendix 2

MOOSE reporting checklist.

Supplementary Appendix 3

Database search results.

Supplementary Appendix 4

Definitions.

Supplementary Table 1

Baseline characteristics of included patients.

Supplementary Table 2

Risk of bias assessment - observational studies.

Supplementary Table 3

Key study features - bioprosthetic tricuspid valve replacement.

Supplementary Table 4

Meta-regression analysis.

Supplementary Table 5

Early and late outcomes - no endocarditis.

Supplementary Table 6

Early and late outcomes - fixed effects models.

Supplementary Figure 1

Funnel plot and Baujat plot.

Supplementary Figure 2

Bubble plots for meta-regression analysis.

Supplementary Figure 3

Meta-analysis using a random intercept logistic regression model.

Supplementary Figure 4

Leave-one-out meta-analysis.

Supplementary Figure 5

Cumulative meta-analysis.


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