Transcatheter Mitral Repair for Functional Mitral Regurgitation According to Left Ventricular Function: A Real-Life Propensity-Score Matched Study
by
, , , , , , , , , , , , , , , ,
Isaac Pascual
1
,
Fernando Carrasco-Chinchilla
2,
Tomas Benito-Gonzalez
3,
Chi Hion Li
4,
Pablo Avanzas
1
,
Luis Nombela-Franco
5,
Manuel Pan
6,
Ana Serrador Frutos
7,
Xavier Freixa
8,
Ramiro Trillo-Nouche
9,
Rosa A. Hernández-Antolín
10,
Leire Andraka Ikazuriaga
11,
Ignacio Cruz-Gonzalez
12,
Jose R. López-Mínguez
13,
Jose L. Diez
14,
Alberto Berenguer-Jofresa
15,
Juan Sanchis
16,
Valeriano Ruiz-Quevedo
17, 
Cristobal Urbano-Carrillo
18,
Juan F. Oteo Dominguez
19,
Maria R. Ortas-Nadal
20,
Eduardo Molina Navarro
21,
Xavier Carrillo
22,
Juan H. Alonso-Briales
2,
Felipe Fernández-Vázquez
3,
Luis Asmarats Serra
4,
Daniel Hernandez-Vaquero
1,*,
Pilar Jimenez-Quevedo
5,
Dolores Mesa
6,
Tania Rodríguez-Gabella
7,
Ander Regueiro
8,
Amparo Martinez Monzonís
9,
Luisa Salido Tahoces
10,
Lara Ruiz Gomez
11,
Blanca Trejo-Velasco
12
,
Victor M. Becerra-Muñoz
2,
Carmen Garrote-Coloma
3,
Estafanía Fernández Peregrina
4,
Rebeca Lorca
1,
Jose A. De Agustín
5,
Miguel Romero
6,
Ignacio J. Amat-Santos
7,
Manel Sabaté
8,
Ana B. Cid Alvarez
9,
Jose M. Hernandez-Garcia
2,
Javier Gualis
3,
Dabit Arzamendi
4,
Cesar Moris
1,
Gabriela Tirado-Conte
5,
Angel Sánchez-Recalde
10 and
Rodrigo Estevez-Loureiro
23add
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1
Heart Area, Asturias Central University Hospital, University of Oviedo, Instituto Investigación Sanitaria Principado de Asturias (ISPA), 33011 Oviedo, Spain
2
Cardiology Department, Virgen de la Victoria University Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, CIBERCV, 29010 Málaga, Spain
3
Cardiology Department. University Hospital of León, 24008 León, Spain
4
Cardiology Department, Santa Creu i Sant Pau Hospital, 08041 Barcelona, Spain
5
Cardiovascular Institute, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain
6
Cardiology Department, Reina Sofía University Hospital, University of Córdoba (IMIBIC), 14004 Córdoba, Spain
7
CIBERCV, Cardiology Department, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
8
Cardiology Department, Institut Clínic Cardiovascular, Hospital Clinic de Barcelona, 08036 Barcelona, Spain
9
Cardiology Department, Complejo Hospitalario Universitario de Santiago de Compostela, CIBERCV, 15706 Santiago de Compostela, Spain
10
Cardiology Department, Ramon y Cajal University Hospital, 28034 Madrid, Spain
11
Cardiology Department, Hospital Universitario de Basurto, 48013 Bilbao, Spain
12
Cardiology Department, University Hospital of Salamanca, IBSAL, Institute of Biomedical Research of Salamanca, University of Salamanca, CIBERCV, 37007 Salamanca, Spain
13
Cardiology Department, University Hospital of Badajoz, 06080 Badajoz, Spain
14
Cardiology Department, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
15
Cardiology Department, Hospital General Universitario de Valencia, 46014 Valencia, Spain
16
Cardiology Department, University Clinic Hospital of Valencia, University of Valencia, INCLIVA, CIBERCV, 46010 Valencia, Spain
17
Cardiology Department, Complejo Hospitalario de Navarra, 31008 Pamplona, Spain
18
Cardiology Department., Complejo Hospital Regional Universitario de Málaga, 29010 Málaga, Spain
19
Cardiology Department, University Hospital Puerta de Hierro/Majadahonda, 28222 Madrid, Spain
20
Cardiology Department, University Hospital Miguel Servet, 50009 Zaragoza, Spain
21
Cardiology Department, University Hospital Virgen de las Nieves, 18014 Granada, Spain
22
Cardiology Department, Hospital Universitari Germans Trias i Pujol, 08916 Barcelona, Spain
23
Cardiology Department, Alvaro Cunqueiro University Hospital, 36213 Vigo, Spain
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(6), 1792; https://doi.org/10.3390/jcm9061792
Submission received: 28 April 2020
/
Revised: 24 May 2020
/
Accepted: 1 June 2020
/
Published: 9 June 2020
(This article belongs to the Special Issue New Frontiers in Cardiovascular Intervention)
Abstract
:Background: Transcatheter mitral valve repair (TMVR) could improve survival in functional mitral regurgitation (FMR), but it is necessary to consider the influence of left ventricular ejection fraction (LVEF). Therefore, we compare the outcomes after TMVR with Mitraclip® between two groups according to LVEF. Methods: In an observational registry study, we compared the outcomes in patients with FMR who underwent TMVR with and without LVEF <30%. The primary endpoint was the combined one-year all-cause mortality and unplanned hospital readmissions due to HF. The secondary end-points were New York Heart Association (NYHA) functional class and mitral regurgitation (MR) severity. Propensity-score matching was used to create two groups with the same baseline characteristics, except for baseline LVEF. Results: Among 535 FMR eligible patients, 144 patients with LVEF <30% (group 1) and 144 with LVEF >30% (group 2) had similar propensity scores and were included in the analyses. The primary study endpoint was significantlly higher in group 1 (33.3% vs. 9.4%, p = 0.002). There was a maintained improvement in secondary endpoints without significant differences among groups. Conclusion: FMR patients with LVEF <30% treated with MitraClip® had higher mortality and readmissions than patients with LVEF ≥30% treated with the same device. However, both groups improved the NYHA functional class and MR severity.
1. Introduction
Mitral regurgitation (MR) has become the most common valvular disease. In fact, up to 1 in every 10 individuals aged 75 years or older present moderate or severe MR [1]. The etiology of MR can be either degenerative or functional. Unlike degenerative MR (DMR), in functional mitral regurgitation (FMR) the components of the mitral apparatus are preserved. Thus, FMR is defined as the mitral insufficiency with a lack of leaflet coaption due to annular dilatation or left ventricular (LV) remodeling [2,3].
In contrast to DMR, where mitral valve surgery can improve the prognosis [4,5,6,7], surgical treatment for FMR has not shown to improve functional status or survival [8,9]. Therefore, invasive treatment (either surgical or percutaneus) may be considered in those patients with chronic severe FMR that remain symptomatic despite optimal medical management, when revascularization is not indicated [6,7].
Over the past few years, transcatheter mitral “edge to edge” valve repair (TMVR) using MitraClip® (Abbott Vascular, Menlo Park, CA, USA) system has emerged as a safe and effective treatment option for both high-risk DMR and FMR [10,11,12].
The latest evidence in the treatment of FMR, which classically has had a very poor prognosis and no specific treatment, has placed this entity in the frontline of clinical debates. Whereas the first two randomized control trials for FMR—comparing TMVR plus medical therapy versus medical therapy alone—confirmed a high rate of procedural success, different clinical results in follow-up were found between both studies [13,14]. The patients in both studies have different baseline characteristics. Therefore, finding the key variable that predicts a good result is of the utmost importance [15].
The presence of significant FMR in heart failure patients has been associated with increased morbidity and mortality [16,17,18]. Although correction through percutaneous repair can improve survival significantly, the greatest controversy remains around the time of the intervention. If it is carried out in very advanced stages of the disease, it may not be effective [13,14,19].
Left ventricular ejection fraction (LVEF) is one of the most powerful classic independent predictors of survival in heart failure, as well as one of the variables on which the indication of treatment for both degenerative and functional mitral insufficiency depends on [6,7,20]. Even though FMR has been considered not only a marker but also an independent risk factor for adverse events, it is necessary to take into account the influence of LVEF in this context [18,21].
The cut-off point, LVEF = 30%, is the limit indicated by the guidelines to predict the outcome after surgical repair. In line with the surgical point of view in the guidelines, (LVEF) below 30% could also modify the outcome in TMVR [6,7].
Therefore, our aim was to analyze the differences in one-year all-cause mortality and unplanned hospital readmissions due to heart failure in a cohort of FMR patients treated by TVMR according to their LVEF.
2. Methods
We performed our study using a registry-based analysis involving patients with severe FMR patients who underwent TMVR using MitraClip®.
Data were obtained from the Spanish MitraClip Registry. This registry is a contemporary prospective clinical-practice registry, and it was endorsed by the Interventional Cardiology Association of the Spanish Society of Cardiology and prospectively included consecutive patients treated with MitraClip from 1 June 2012, to 1 March 2020, from 23 Spanish hospitals. The indication for TMVR was established after multidisciplinary team evaluation (Heart Team) in each center.
A specialized centralized database was designed for the prospective and consecutive inclusion of all of the patients’ demographic, echocardiographic, procedural, and follow-up variables.
All included patients signed a dedicated informed consent form. This study was approved by the local Ethical Committee (reference 2020/026).
2.1. Study Population
For the purpose of this study, we included all patients in the registry with severe FMR treated with TMVR using MitraClip® (Abbott; Menlo Park, CA, USA) [3,6,7].
FMR etiology was defined as the one shows structurally normal leaflets and chordae but an imbalance between the closing and tethering forces in the valve, secondary to alterations in left ventricular geometry. Degenerative and Mixed MR etiologies were excluded [3,6,7].
In all participant centers, patients with moderate-severe or severe (3 to 4+) FMR, symptomatic despite guideline-directed optimal medical therapy, were evaluated by a multidisciplinary Heart Team (comprising interventional cardiologists, cardiac surgeons, heart failure specialized cardiologists and cardiac imaging specialists) [6,7]. Informed consent for the procedure was obtained from all patients and TMVR was performed with the MitraClip® edge to edge technique as reported elsewhere [22].
To understand the differences in mortality and unplanned hospital readmissions due to heart failure according to their LVEF, the sample was divided into two groups according to LVEF. Group 1 was composed by patients with severely impaired LVEF (LVEF less to 30%) and group 2 by patients with LVEF ≥30%. Both groups were prospectively followed-up. There were no losses in follow-up.
2.2. Variable Definitions
Procedural success was defined as the proper implantation of at least one clip and reduction of the severity of the MR to a grade less than or equal to moderate (2+). The severity of MR, not only for the diagnosis but also for the follow-up, was evaluated by experts cardiac imaging specialists, according to the European Society of Cardiology (ESC) guideline criteria [6,7].
Procedural time was defined as the duration from anesthetic induction to the end of the procedure. Device implantation time was calculated from the insertion of the release system until its removal.
Procedure-related bleeding and its severity were defined according to the criteria of the Bleeding Academic Research Consortium (BARC) [23].
Functional class was defined according to the classification of the New York Heart Association (NYHA).
2.3. Study Outcomes
The primary endpoints of the study were (1) the combined 1-year all-cause mortality and unplanned hospital readmissions due to HF, (2) 1-year all-cause mortality and (3) unplanned hospital readmissions due to HF.
The secondary end-points were (1) functional class after TMVR and (2) MR severity after 1-year follow up.
2.4. Statistical Analysis
Absolute (n) and relative (%) frequencies were calculated for qualitative variables. For quantitative variables, Kolmogorov–Smirnov test was used to assess the normality of the variables. Quantitative variables were expressed as mean ± standard deviation if normally distributed and as median (interquartile range) if not. The differences in the qualitative variables were calculated as a percentage difference with the Pearson chi-square test; if 20% or more of cells had expected frequencies <5, likelihood ratio correction was performed.
Propensity score matching was used to create two groups with the same baseline characteristics. We estimated propensity scores and matched for LVEF groups (<30% or ≥30%), using nearest-neighbor matching without replacement. The propensity score is a conditional probability of having a particular exposure given a set of baseline measured covariates. Covariates were chosen based on theorical knowledge: age (stratified by intervals of 10 years: <60; 60–69; 70–79; ≥80), sex, BMI (stratified <25 kg/m2, 25–29.99 kg/m2, and ≥30 kg/m2), hypertension, diabetes mellitus and previous ischemic heart disease.
The matching ratios for the order of formation LVEF groups were 1:1. After the matching, both groups were confirmed to be similar in baseline characteristics using mean standardized differences, which has proved to be the best way, since it does not depend on sample size. Then, outcomes were compared among the groups [24,25].
To evaluate one-year mortality and unplanned readmissions for HF between both groups, Kaplan–Meier survival estimator was used. In conjunction with the stratified log-rank test, the median survival and the survival curves were used to compare the event-free survival rates among the groups. Differences in other quantitative variables were compared with the one-way ANOVA (using post-hoc Bonferroni analysis for multiple comparisons) or the Kruskal–Wallis test according to the distribution of the variable. Differences in other qualitative variables were compared with the Pearson chi-square test.
For data analysis, the SPSS version 23.0 statistical package was used (IBM Corp.; Armonk, New York, NY, USA).
3. Results
Study Population
During the study period, there were 946 patients included in the registry and available for analysis. We identified 535 patients with FMR who met the inclusion criteria (Figure 1), of whom a total of 396 (74%) were men and 139 (26%) were women. The mean age was 71.0 ± 10.8 years old, with an average BMI of 27.2 ± 4.5 kg/m2.
In the global series, before propensity score matching, there were significant differences between the two groups in several of the baseline variables (Table 1).
Values represent n (%), mean ± standard deviation or median (interquartile range).
With the use of the propensity score, 144 patients who underwent TMVR with a LVEF <30% (group 1) were matched with 144 LVEF ≥30% (group 2) (global matched group 288, Table S1 supplementary material). The flow chart of the design of the study is shown in Figure 1.
After matching, the mean standardized differences were less than 10% for all variables, indicating marginal differences between the two groups (Table 2).
Values represent n (%), mean ± standard deviation or median (interquartile range).
There were no significant differences among groups regarding the variables associated with the procedure (Table 3).
4. Outcomes
4.1. Primary Endpoint
The number of events for the primary study endpoint at 12 months of follow-up in group 1 was 48 (33.3) and 28 (19.4) in group 2, and the difference among both groups was statistically significant (p = 0.002). The number of events for the combined endpoint at 12 moths in the global matched group was 76 (26.4%).
The all-cause mortality was distributed according to LVEF as follows: 25 patients (17.4%) in group 1 and 10 patients in group 2 (6.9%). Significant differences were found among both groups for this outcome (p = 0.005). The all-cause mortality in the global matched group was 12.2% (35 patients). There were 27 (9.4%) patients who died due to cardiac causes and four (1.4) of them suffered arrhythmic death. There were 8 (2.8%) non-cardiac deaths during the follow up (three Sepsis, three Cancer, one multiorganic failure and one suicide). The causes of death across the groups are detailed in Table 4.
The proportion of unplanned readmissions for HF was 18.4% in the global matched group. The proportion as 20.8% in the in group 1 (30 patients), whereas it was 16.0% (23 patients) in group 2 (p = 0.114).
4.2. Secondary Endpoints
Changes over time in the NYHA functional class are shown in Figure 3. There was a clear improvement at three months. This was maintained at 12 months of follow-up in both groups. At the end of follow-up, the proportion of patients in class ≤ NYHA II was 67.6% in the group 1 and 71.6% in the group 2, without significant differences among them (p = 0.774).
Regarding MR reduction (Figure 4), there was a clear improvement after the procedure, and it was maintained at one year. At the end of follow up, 76.3% of the patients in group 1 and 68.2% in group 2 had less or equal grade 2+ MR (p = 0.643). During the follow up, four patients (one patient (0.7%) in group 1 and three patients (2.1%) in group 2, p = 0.622) underwent conventional mitral valve surgery.
5. Discussion
Our study highlights the relevance of severe LV dysfunction as a variable associated with death and rehospitalizations in a cohort of patients with FMR treated by percutaneous repair. LVEF should be a key element to analyze when selecting patients for this strategy. However, in spite of severe LV dysfunction, our paper shows that patients can still improve their functional clinical status. This is relevant also when dealing with this complex population, who are often short of therapeutic alternatives.
In the current study, we show that patients with FMR and severe LV dysfunction treated with MitraClip® have higher combined mortality and readmissions than patients without severe LV dysfunction treated with the same device. However, these patients showed no significant differences in the unplanned HF rehospitalization. Both groups showed significant improvement in the degree of MR and in the functional NYHA class. Our findings are in the line with previous registries regarding the prognosis implication of LVEF in patients treated with TMVR [10,11].
The association between the severity of left ventricular dysfunction and clinical outcomes following intervention with MitraClip® was established using a meta-regression in a recent metanalysis, partially explaining the contradicting results observed in the COAPT and the MITRA-FR trial [26].
Results from other interesting metanalyses highlighted the possible association between LV impairment and relative risk of all-cause and cardiovascular mortality, suggesting that patients with poor LVEF probably benefit less from TVMR [27].
The global clinical improvement after Mitraclip® in FMR remains under permanent study. While two recent observational studies showed worse outcomes in patients with lower LVEF [28,29], other reports have recently showed that the treatment with MitraClip® for FMR in patients with different degrees of LV dysfunction is associated with a considerable reduction of death and HF hospitalization at mid-term follow-up [30].
Both groups of our study had significant improvements after TVMR with Mitraclip® in the NYHA functional class and reduction in the grade of MR at the end of the follow-up. These results agree with previous reports of multinational real-life registries, where high rates of sustained MR reduction and clinical benefit were found also in patients with impaired LVEF [10,11,12,31]. Moreover, this could be a relevant point to take into account in order to consider the value of TMVR, not only for the improvement of prognosis in not-advanced stages of the disease, but also for the improvement in the quality of life of these patients in the follow up [32,33].
According to the results of our study, the prognostic implication of severe LV dysfunction in FMR patients should be considered in the selection of candidates for TMVR. In order to improve the prognosis of our patients, we should consider anticipating the treatment before severe deterioration in LVEF, as it was shown in the clinical trials [13,14]. However, we have to take into account that the severe impairment of LVEF should not contraindicate TMVR with Mitraclip®, because of the improvement in functional class and quality of life obtained in these symptomatic patients.
6. Limitations
Some limitations of our analysis should be considered. This was a non-randomized, observational study, and hence, it suffers from potential selection and ascertainment bias, despite robust propensity score matching. It is possible that some patients were lost on follow-up; however, this is an inherent limitation of all observational studies and we tried compensate this fact with a thorough clinical and echographic follow-up of all patients.
7. Conclusions
The careful selection of patients with FMR may be the most critical factor to predict favorable outcomes with the MitraClip® device. Therefore, it is very important to identify patients who could really benefit from TVMR in terms of prognosis. LVEF could be one of the most important variables. Patients with severe LV dysfunction treated with MitraClip® have higher mortality and readmissions than patients without severe dysfunction when treated with the same device. However, both groups obtain functional-class clinical benefit.
Supplementary Materials
The following are available online at https://www.mdpi.com/2077-0383/9/6/1792/s1, Table S1. Baseline characteristics of global FMR group and propensity score matched group.
Author Contributions
Conceptualization, I.P., A.S.-R. and R.E.-L.; Data curation, I.P. and D.H.-V.; Formal analysis, I.P., P.A., D.H.-V. and R.L.; Investigation, I.P., P.A., D.H.-V. and R.L.; Methodology, I.P., D.H.-V. and R.L.; Project administration, I.P. and P.A.; Software, D.H.-V.; Supervision, C.M.; Validation, I.P., F.C.-C., T.B.-G., C.H.L., P.A., L.N.-F., M.P., A.S.F., X.F., R.T.-N., R.A.H.-A., L.A.I., I.C.-G., J.R.L.-M., J.L.D., A.B.-J., J.S., V.R.-Q., C.U.-C., J.F.O.D., M.R.O.-N., E.M.N., X.C., J.H.A.-B., F.F.-V., L.A.S., P.J.-Q., D.M., T.R.-G., A.R., A.M.M., L.S.T., L.R.G., B.T.-V., V.M.B.-M., C.G.-C., E.F.P., J.A.D.A., M.R., I.J.A.-S., M.S., A.B.C.A., J.M.H.-G., J.G., D.A., C.M., G.T.-C. and R.E.-L.; Visualization, I.P., F.C.-C., T.B.-G., C.H.L., L.N.-F., M.P., A.S.F., X.F., R.T.-N., R.A.H.-A., L.A.I., I.C.-G., J.R.L.-M., J.L.D., A.B.-J., J.S., V.R.-Q., C.U.-C., J.F.O.D., M.R.O.-N., E.M.N., X.C., J.H.A.-B., F.F.-V., L.A.S., P.J.-Q., D.M., T.R.-G., A.R., A.M.M., L.S.T., L.R.G., B.T.-V., V.M.B.-M., C.G.-C., E.F.P., R.L., J.A.D.A., M.R., I.J.A.-S., M.S., A.B.C.A., J.M.H.-G., J.G., D.A., C.M. and G.T.-C.; Writing—original draft, I.P., A.S.-R. and R.E.-L.; Writing—review & editing, I.P., F.C.-C., T.B.-G., C.H.L., L.N.-F., M.P., A.S.F., X.F., R.T.-N., R.A.H.-A., L.A.I., I.C.-G., J.R.L.-M., J.L.D., A.B.-J., J.S., V.R.-Q., C.U.-C., J.F.O.D., M.R.O.-N., E.M.N., X.C., J.H.A.-B., F.F.-V., L.A.S., D.H.-V., P.J.-Q., D.M., T.R.-G., A.R., A.M.M., L.S.T., L.R.G., B.T.-V., V.M.B.-M., C.G.-C., E.F.P., R.L., J.A.D.A., M.R., I.J.A.-S., M.S., J.M.H.-G., J.G., D.A., C.M., G.T.-C., A.S.-R. and R.E.-L. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflicts of interest.
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Figure 1.
Flow chart of the design of the study.
Figure 2.
Twelve-month survival curves for the composite event (A) Composite event (death/unplanned hospitalization), all-cause mortality. (B) All-cause mortality and readmission for heart failure (C) Readmission for heart failure according to LVEF groups.
Figure 2.
Twelve-month survival curves for the composite event (A) Composite event (death/unplanned hospitalization), all-cause mortality. (B) All-cause mortality and readmission for heart failure (C) Readmission for heart failure according to LVEF groups.
Figure 3.
Modifications over time in NYHA functional class during follow-up in the entire series and according to LVEF. NYHA, New York Heart Association.
Figure 3.
Modifications over time in NYHA functional class during follow-up in the entire series and according to LVEF. NYHA, New York Heart Association.
Figure 4.
Changes over time in mitral regurgitation (MR) grade during follow-up in the entire series and according to LVEF groups. MR, mitral regurgitation.
Figure 4.
Changes over time in mitral regurgitation (MR) grade during follow-up in the entire series and according to LVEF groups. MR, mitral regurgitation.
Table 1.
Baseline characteristics in the global series and among both groups according to the left ventricular ejection fraction (LVEF).
Table 1.
Baseline characteristics in the global series and among both groups according to the left ventricular ejection fraction (LVEF).
| Variable | Total FMR Group n = 535 | FE < 30% n = 229 (42.8%) | FE ≥ 30% n = 306 (57.2%) | p |
|---|---|---|---|---|
| Age (years) | 71.0 ± 10.8 | 68.1 ± 11.7 | 73.2 ± 9.7 | <0.001 |
| Sex (n (%)) Men Women | 396 (74.0) 139 (26.0) | 174 (76.30) 55 (24.0) | 222 (72.5) 84 (27.5) | 0.370 |
| BSA (m2) | 1.82 ± 0.20 | 1.83 ± 0.23 | 1.76 ± 0.38 | 0.012 |
| BMI (kg/m2) | 27.2 ± 4.5 | 26.6 ± 4.4 | 27.6 ± 4.5 | 0.050 |
| BMI ≥ 30 kg/m2 | 124 (23.2) | 44 (19.2) | 80 (26.1) | 0.060 |
| LVEF, % | 34.3 ± 12.5 | 23.5 ± 6.4 | 42.1 ± 9.9 | - |
| Type 2 Diabetes Mellitus | 189 (35.3) | 79 (34.5) | 110 (35.9) | 0.728 |
| Ischemic Heart Disease | 302 (56.4) | 115 (50.2) | 187 (61.1) | 0.012 |
| Hypertension | 372 (69.5) | 140 (61.1) | 232 (75.8) | <0.001 |
| Previous Cardiac Surgery | 89 (16.6) | 30 (13.1) | 59 (19.3) | 0.058 |
| Hemodyalisis | 9 (1.7) | 3 (1.3) | 6 (2.0) | 0.739 |
| Creatinine (mg/dL) | 1.37 ± 0.57 | 1.34 ± 0.51 | 1.40 ± 0.61 | 0.268 |
| eGFR (mL/min) | 62.2 ± 25.8 | 62.8 ± 23.2 | 61.7 ± 27.6 | 0.763 |
| NYHA Class I II III IV | 12(2.2) 59(11.0) 355 (66.4) 109 (20.4) | 4(1.7) 22(9.6) 149 (65.1) 54 (23.6) | 8(2.6) 37(12.1) 206 (67.3) 55 (18.0) | 0.348 |
| STS Score | 3.7 (1.8–6.7) | 3.2 (1.6–6.4) | 3.6 (2.1–6.8) | 0.135 |
| Active Endocarditis | 4 (0.7) | 1 (0.4) | 3 (1.0) | 0.639 |
| TAPSE | 14.9 ± 6.7 | 15.6 ± 5.5 | 14.4 ± 7.3 | 0.109 |
| Dyslipidemia | 305 (57.0) | 131 (57.2) | 174 (56.9) | 0.937 |
| Critical Preoperative Status | 28 (5.2) | 16 (7.0) | 12 (3.9) | 0.115 |
| Extracardiac Arteriopathy | 73 (13.6) | 32 (14.0) | 41 (13.4) | 0.848 |
| Unstable Angina | 16 (3.0) | 7 (3.1) | 9 (2.9) | 0.938 |
| Permanent Atrial Fibrilation | 313 (58.5) | 123 (53.7) | 190 (62.1) | 0.052 |
| Urgent Cardiac Surgery | 49 (9.2) | 19 (8.3) | 30 (9.8) | 0.550 |
| Smoker | 154 (28.8) | 59 (25.8) | 95 (31.0) | 0.182 |
| COPD | 111 (20.7) | 45 (19.7) | 66 (21.6) | 0.588 |
| Recent Myocardial Infarction | 41 (7.7) | 17 (7.4) | 24 (7.8) | 0.857 |
| Permanent Pacemaker | 74 (13.8) | 32 (14.0) | 42 (13.7) | 0.934 |
| Stroke | 58 (10.8) | 26 (11.4) | 32 (10.5) | 0.741 |
| Percutaneous revacularization | 210 (39.3) | 85 (37.1) | 125 (40.8) | 0.382 |
| CABG | 88 (16.4) | 23 (10.0) | 65 (21.2) | 0.001 |
| Cardiac Resyncronization | 83 (15.5) | 51 (22.3) | 32 (10.5) | <0.001 |
| Autoimplantable cardiodefibrilator | 178 (33.3) | 109 (47.6) | 69 (22.5) | <0.001 |
| Prior TAVI | 13 (2.4) | 7 (3.1) | 6 (2.0) | 0.415 |
| Poor Morbility | 52 (9.7) | 23 (10.0) | 29 (9.5) | 0.827 |
| Previous Heart Transplantation | 29 (5.4) | 14 (6.1) | 15 (4.9) | 0.540 |
| Prior Mitral Annuloplasty | 10 (1.9) | 3 (1.3) | 7 (2.3) | 0.528 |
| Aortic Surgery | 15 (2.8) | 3 (1.2) | 12 (3.9) | 0.070 |
| Technical Procedural Success | 502 (93.8) | 214 (93.4) | 288 (94.1) | 0.751 |
BMI, body mass index; BSA, Body surface area; CABG, coronary artery bypass graft; COPD, chronic obstructive pulmonary disease; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association; TAVI, transcatheter aortic valve implantation. Recent MI is defined as happening between 7 and 30 days ago. Poor morbidity was an indirect measure of frailty based on the medical history (slowness, weakness, exhaustion, wasting and malnutrition, poor endurance and inactivity or loss of independence).
Table 2.
Baseline characteristics of propensity score matched group and among both groups according to the LVEF.
Table 2.
Baseline characteristics of propensity score matched group and among both groups according to the LVEF.
| Matched Group n = 288 | FE < 30% (Group 1) n = 144 | FE ≥ 30% (Group 2) n = 144 | p | |
|---|---|---|---|---|
| Age (years) | 71.5 ± 9.8 | 71.3 ± 10.5 | 71.8 ± 9.1 | 0.676 |
| Sex (n (%)) Men Women | 228 (79.2) 60 (20.8) | 114 (79.2) 30 (20.8) | 114 (79.2) 30 (20.8) | - |
| BSA (m2) | 1.75 ± 0.36 | 1.79 ± 0.19 | 1.71 ± 0.48 | 0.140 |
| BMI (kg/m2) | 26.5 ± 4.2 | 26.4 ± 4.0 | 26.6 ± 4.3 | 0.736 |
| BMI ≥ 30 kg/m2 | 54 (18.8) | 27 (18.8) | 27 (18.8) | - |
| LVEF, % | 32.9 ± 11.8 | 24.2 ± 5.9 | 41.6 ± 9.6 | - |
| Type 2 Diabetes Mellitus | 96 (33.3) | 48 (33.3) | 48 (33.3) | - |
| Ischemic Heart Disease | 186 (64.6) | 93 (64.6) | 93 (64.6) | - |
| Hypertension | 204 (70.8) | 102 (70.8) | 102 (70.8) | - |
| Previous Cardiac Surgery | 53 (18.4) | 25 (17.4) | 28 (19.4) | 0.648 |
| Hemodyalisis | 7 (2.4) | 2 (1.4) | 5 (3.5) | 0.447 |
| Creatinine (mg/dL) | 1.39 ± 0.61 | 1.38 ± 0.49 | 1.41 ± 0.71 | 0.643 |
| eGFR (mL/min) | 65.1 ± 29.0 | 63.0 ± 24.8 | 67.1 ± 32.6 | 0.433 |
| NYHA Class I II III IV | 5 (1.7) 28 (9.7) 190 (66.0) 65 (22.6) | 1 (0.7) 11 (7.6) 93 (64.6) 39 (27.1) | 4 (2.8) 17 (11.8) 97 (67.4) 26 (18.1) | 0.115 |
| STS Score | 3.9 (1.3–6.8) | 3.7 (1.9–7.2) | 3.5 (1.5–6.5) | 0.511 |
| Active Endocarditis | 1 (0.3) | 0 | 1 (0.7) | 1 |
| TAPSE | 14.7 ± 6.8 | 15.1 ± 6.3 | 14.8 ± 7.7 | 0.274 |
| Dyslipidemia | 169 (58.7) | 88 (61.1) | 81 (56.3) | 0.402 |
| Critical Preoperative Status | 13 (4.5) | 8 (5.6) | 5 (3.5) | 0.394 |
| Extracardiac Arteriopathy | 46 (16.0) | 21 (14.6) | 25 (17.4) | 0.520 |
| Unstable Angina | 10 (3.5) | 5 (3.5) | 5 (3.5) | 1 |
| Permanent Atrial Fibrilation | 163 (56.6) | 80 (55.6) | 83 (57.6) | 0.721 |
| Urgent Cardiac Surgery | 22 (7.6) | 9 (6.3) | 13 (9.0) | 0.375 |
| Smoker | 83 (28.8) | 43 (29.9) | 40 (27.8) | 0.696 |
| Chronic obstructive pulmonary disease | 56 (19.4) | 29 (20.1) | 27 (18.8) | 0.766 |
| Recent Myocardial Infarction | 22 (7.6) | 10 (6.9) | 12 (8.3) | 0.825 |
| Permanent Pacemaker | 44 (15.3) | 22 (15.3) | 22 (15.3) | 1 |
| Stroke | 34 (11.8) | 18 (12.5) | 16 (11.1) | 0.715 |
| Percutaneous revacularization | 129 (44.8) | 67 (46.5) | 62 (43.1) | 0.554 |
| CABG | 54 (18.8) | 20 (13.9) | 34 (23.6) | 0.035 |
| Cardiac Resyncronization | 42 (14.6) | 26 (18.1) | 16 (11.1) | 0.095 |
| Autoimplantable Cardiodefibrilator | 91 (31.6) | 61 (42.4) | 30 (20.8) | <0.001 |
| Prior TAVI | 8 (2.8) | 6 (4.2) | 2 (1.4) | 0.282 |
| Poor Morbility | 26 (9.0) | 13 (9.0) | 13 (9.0) | 1 |
| Previous Heart Transplantation | 14 (4.9) | 7 (4.9) | 7 (4.9) | 1 |
| Prior Mitral annuloplasty | 4 (1.4) | 2 (1.4) | 2 (1.4) | 1 |
| Surgery Aorta | 7 (2.4) | 2 (1.4) | 5 (3.5) | 0.447 |
| Technical Procedural Success | 271 (94.1) | 135 (93.8) | 136 (94.4) | 0.803 |
BMI, body mass index; BSA, Body surface area; CABG, coronary artery bypass graft; COPD, chronic obstructive pulmonary disease; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association; TAVI, transcatheter aortic valve implantation. Recent MI is defined as happening between 7 and 30 days ago. Poor morbidity was an indirect measure of frailty based on the medical history (slowness, weakness, exhaustion, wasting and malnutrition, poor endurance and inactivity or loss of independence).
Table 3.
Procedure-related variables.
| Matched Group n = 288 | FE < 30% (Group 1) n = 144 | FE ≥ 30% (Group 2) n = 144 | p | |
|---|---|---|---|---|
| Procedural success, n (%) | 271 (94.1) | 135(93.8) | 136 (94.4) | 0.803 |
| Number of clips implanted, n | 1.49 ± 0.64 | 1.48 ± 0.64 | 1.50 ± 0.64 | 0.744 |
| Procedural duration, min | 140 (115–180) | 141 (118–192) | 136 (105–179) | 0.413 |
| Implantation time, min | 80 (60–107) | 82 (59–108) | 70 (60–108) | 0.677 |
| Degree of mitral regurgitation post clip, n (%) 0 I II III IV | 17 (5.9) 176 (61.1) 81 (28.1) 8 (2.8) 6 (2,1) | 9 (6.3) 86 (59.7) 41 (28.5) 5 (3.5) 3 (2.1) | 8 (5.6) 90 (62.5) 40 (27.8) 3 (2.1) 3 (2.1) | 0.955 |
| Transmitral gradient after the clip, mmHg | 3.05 ± 1.68 | 3.06 ± 1.49 | 3.04 ± 1.84 | 0.923 |
| Clip detachment (partial or complete), | 8 (2.8) | 5 (3.5) | 3 (2.1) | 0.723 |
| Catheter thrombosis, n (%) | 2 (0.7) | 1 (0.7) | 1 (0.7) | 1 |
| Subvalvular chordal rupture n (%) | 3 (1.0) | 1 (0.7) | 2 (1.4) | 0.999 |
| Clip entanglement in subvalvular apparatus, n (%) | 0 | 0 | 0 | - |
| Puncture site hematoma, n (%) | 10 (3.5) | 5 (3.5) | 5 (3.5) | 1 |
| Arteriovenous fistula, n (%) | 3 (1.0) | 2 (1.4) | 1 (0.7) | 0.999 |
| Valvular surgery, n (%) | 1 (0.3) | 0 | 1 (0.7) | 0.999 |
| Hemorrhage (BARC criteria) 0 1 2 3a 3b | 250 (86.8) 32 (11.1) 2 (0.7) 1 (0.3) 3 (1.0) | 133 (92.4) 9 (6.3) 1 (0.7) 0 1 (0.7) | 117 (81.3) 23 (16.0) 1 (0.7) 1 (0.7) 2 (1.4) | 0.590 |
| Pericardial leak | 5 (1.7) | 3 (2.1) | 2 (1.4) | 0.685 |
| Urgent indication, n (%) | 19 (6.6) | 10 (6.9) | 9 (6.3) | 0.812 |
Values represent n (%), mean ± standard deviation or median (interquartile range).
Table 4.
Causes of death.
| Matched Group n = 288 | FE < 30% (Group 1) n = 144 | FE ≥ 30% (Group 2) n = 144 | p | |
|---|---|---|---|---|
| Deaths | 35 (12.2) | 25 (17.4) | 10 (6.9) | 0.007 |
| Cardiac death | 27 (9.4) | 20 (13.9) | 7 (4.9) | 0.009 |
| Arrhythmic death | 4 (1.4) | 3 (2.1) | 1 (0.7) | 0.622 |
| Non cardiac death | 8 (2.8) | 5 (3.5) | 3 (2.1) | 0.723 |
Median time to death was 5.5 (2.3–9.0) months in group 1 and 7.2 (4.3–9.7) months in group 2 (p = 0.333).
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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Pascual, I.; Carrasco-Chinchilla, F.; Benito-Gonzalez, T.; Li, C.H.; Avanzas, P.; Nombela-Franco, L.; Pan, M.; Serrador Frutos, A.; Freixa, X.; Trillo-Nouche, R.; et al. Transcatheter Mitral Repair for Functional Mitral Regurgitation According to Left Ventricular Function: A Real-Life Propensity-Score Matched Study. J. Clin. Med. 2020, 9, 1792. https://doi.org/10.3390/jcm9061792
AMA Style
Pascual I, Carrasco-Chinchilla F, Benito-Gonzalez T, Li CH, Avanzas P, Nombela-Franco L, Pan M, Serrador Frutos A, Freixa X, Trillo-Nouche R, et al. Transcatheter Mitral Repair for Functional Mitral Regurgitation According to Left Ventricular Function: A Real-Life Propensity-Score Matched Study. Journal of Clinical Medicine. 2020; 9(6):1792. https://doi.org/10.3390/jcm9061792
Chicago/Turabian StylePascual, Isaac, Fernando Carrasco-Chinchilla, Tomas Benito-Gonzalez, Chi Hion Li, Pablo Avanzas, Luis Nombela-Franco, Manuel Pan, Ana Serrador Frutos, Xavier Freixa, Ramiro Trillo-Nouche, and et al. 2020. "Transcatheter Mitral Repair for Functional Mitral Regurgitation According to Left Ventricular Function: A Real-Life Propensity-Score Matched Study" Journal of Clinical Medicine 9, no. 6: 1792. https://doi.org/10.3390/jcm9061792
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