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Original article
Transcatheter mitral edge-to-edge repair in patients with a prior cancer diagnosis: insights from the Spanish M-TEER registry

Reparación mitral percutánea de borde a borde en pacientes con antecedente de cáncer: datos del registro español de M-TEER

Rafael González-ManzanaresabcSoledad OjedaabcdFernando Carrasco-ChinchillaeTomás Benito-GonzálezfIsaac PascualghiLuis Nombela-FrancojkAna M. Serrador FrutosclmRodrigo Estévez-LoureironMaría del TrigooXavier FreixapqrLeire AndrakasJosé L. Díez-GilctIgnacio Cruz-GonzálezcuvXavier CarrillocwxJuan SanchiscyzaaJosé D. Martínez-CarmonaeCarmen Garrote-ColomacfPablo AvanzascghiPilar Jiménez-QuevedojkIgnacio J. Amat SantosclBerenice Caneiro-QueijanVanessa MoñivasoAndrea RubertipqrDolores MesaabcManuel Panabcd
https://doi.org/10.1016/j.rec.2025.10.001

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Supplementary data
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10.1016/j.rec.2025.10.001
Abstract
Introduction and objectives

Among cancer survivors, mitral regurgitation (MR) may reflect therapy-related cardiotoxicity or incidental coexistence given the high prevalence of both conditions. We evaluated the efficacy and safety of mitral transcatheter edge-to-edge repair (M-TEER) in this setting.

Methods

We conducted a retrospective, multicenter observational study using the Spanish M-TEER registry. Patients with and without prior cancer diagnosis were matched 1:1 using propensity score matching. The primary endpoint was a composite of all-cause mortality or unplanned heart failure hospitalization at mid-term follow-up. Secondary endpoints were residual MR grade and New York Heart Association functional class at 1 year.

Results

Of 1237 patients (73 ± 11 years, 34% female), 164 (13.3%) had a prior cancer diagnosis. Propensity score matching yielded 163 pairs. The most common malignancies were breast (20.9%), leukemia/lymphoma (19.6%), prostate (12.9%), and colorectal (12.3%). The median [interquartile range] time from cancer diagnosis to M-TEER was 7 [3-17] years. MR was attributable to cardiotoxicity in 38.7%. MR type was associated with cancer location, anthracycline exposure, and left-sided chest radiotherapy (P < .001). After a median follow-up of 24 [11-43] months, the primary endpoint occurred in 80 (49.1%) cancer survivors and 69 (42.3%) controls (HR, 1.23; 95%CI, 0.89-1.70; P = .202). At 1-year, residual MR grade and New York Heart Association class were similar between groups. Among cancer survivors, independent predictors of worse outcomes included hematologic malignancy, mediastinal radiotherapy, diabetes mellitus, anemia, and EuroSCORE II.

Conclusions

A prior cancer diagnosis did not impact mid-term mortality, heart failure hospitalizations, or 1-year functional and echocardiographic outcomes after M-TEER.

Keywords

Mitral regurgitation
Transcatheter edge-to-edge repair
Cardio-oncology
Heart failure
Cardiotoxicity
INTRODUCTION

Cardiovascular disease and cancer are the leading causes of morbidity and mortality in high-income countries.1 These 2 conditions have a bidirectional relationship and share risk factors and underlying mechanisms.2 Continuous advances in medical care leading to higher survival rates for both diseases, together with population aging, have increased the overlap between cardiovascular disease and cancer.3,4 Traditionally, cardio-oncology has focused primarily on left ventricular systolic dysfunction; however, this perspective has recently broadened to include other cardiac toxicities such as coronary heart disease, arrhythmias, and valvular heart disease.5–7

Mitral regurgitation (MR) is the second most common form of valvular heart disease in the general population.8 Accordingly, MR may co-occur in cancer survivors as an incidental overlap given the high prevalence of both conditions. In addition, patients with a history of cancer have increased risks of degenerative MR (DMR) and functional MR (FMR) due to radiation therapy and anticancer drug exposure, respectively.9,10 Regardless of the nature of MR, the choice of the best treatment in this context is often challenging because of the relative frequency of comorbidities, frailty, poor functional status and prior surgical procedures in these patients. Mitral transcatheter edge-to-edge repair (M-TEER) is a feasible and less invasive alternative to surgery for MR, and its use in high surgical risk patients is supported by randomized clinical trials and recommended by the most recent international guidelines.8,11

In this nationwide study, we evaluated periprocedural, clinical, echocardiographic and functional outcomes in a cohort of patients with a prior cancer diagnosis who underwent M-TEER.

METHODSStudy design and setting

The Spanish M-TEER registry is a multicenter, nationwide, prospective, and ongoing registry of consecutive patients undergoing M-TEER in Spain. It is supported by the Interventional Cardiology Association of the Spanish Society of Cardiology. Other studies from this registry have been previously reported.12–14 The main aim of the present work was to assess M-TEER outcomes in cancer survivors compared with patients with no prior cancer diagnosis. For this analysis, we used data from 14 centers that provided individual oncological variables of interest. The list of participating centers is provided in the supplementary data. The procedural dates ranged between June 2012 and February 2022 and the follow-up period was right-censored at the time of the last follow-up or at 4 years after M-TEER, whichever occurred first. Patients with a cancer diagnosis before M-TEER were matched in a 1:1 ratio with patients with no history of cancer using propensity score matching. The protocol was approved by the Clinical Research Ethics Committee of Córdoba (Spain) (reference number 5956), and the study was conducted in accordance with institutional and Good Clinical Practice guidelines. The current work follows the STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) guidelines for reporting observational studies.15

Participants

Clinical and anatomical eligibility for M-TEER was assessed at each center by local interdisciplinary teams of clinical and interventional cardiologists, cardiac imaging specialists, and cardiac surgeons, in line with international guideline recommendations.8,11 The procedure was carried out according to local standard practice. The type of device, number of clips, implantation strategy, and other technical aspects were determined by the operators. The need for medical treatment was decided by the clinical cardiologist overseeing each patient. Clinical and echocardiographic follow-up was performed as per local practice.

Variables and data sources

The Spanish M-TEER registry dataset is gathered using standardized online case report forms and is periodically updated by each participating center. The following categories of variables were extracted from the web-based system: demographic, comorbidities, cardiovascular treatment, echocardiographic, laboratory, procedural, and follow-up data. Additionally, oncological variables of interest were collected from electronic medical records by local investigators: cancer diagnosis, date of diagnosis, location of cancer, and cardiotoxic treatments.

Definitions and endpoints

Cancer was defined as any prior diagnosis of cancer before the M-TEER procedure, regardless of its location, status, or stage. The primary endpoint was a composite of all-cause mortality or heart failure hospitalization at mid-term follow-up. Secondary endpoints were echocardiographic results and functional status after 1 year of follow-up. Periprocedural outcomes, including technical and device success, were defined according to the Mitral Valve Academic Research Consortium criteria (supplementary data, section Definitions of technical success and device success).16

Statistical analysis

Categorical variables are expressed as counts (percentages), and continuous variables as mean±standard deviation or median [interquartile range], according to their distribution. The chi-square test or the Fisher exact test were used to compare categorical variables, and the Student t test or Mann-Whitney U test for continuous variables, as appropriate. The McNemar test was used to analyze paired categorical data. The Mann-Kendall test was used to assess the trend of M-TEER procedures in patients with prior cancer diagnosis.

Propensity score matching was conducted to account for confounding. Propensity scores were calculated with a multivariable logistic regression model that included cancer diagnosis as the dependent variable, and 13 explanatory variables potentially associated with the primary endpoint based on prior knowledge: age, sex, diabetes mellitus, hypertension, coronary artery disease, atrial fibrillation, chronic obstructive pulmonary disease, estimated glomerular filtration rate, hemoglobin, EuroSCORE II, New York Heart Association class ≥ III, left ventricular ejection fraction < 40%, and MR etiology. The nearest-neighbor matching method without replacement, and a caliper width of 0.1 were used in the propensity score matching at a 1:1 ratio. Standardized mean differences before and after the propensity score matching were used to evaluate group balance regarding the covariates. Standardized mean differences <0.15 were considered adequate.

Time-to-event analyses were conducted using the Kaplan-Meier and Cox proportional hazards methods. For the heart failure hospitalization time-to-event analysis, the Fine-Gray subdistribution hazard model was used to account for death as a competing risk.17 The proportional hazards assumption was evaluated with Schoenfeld residual tests and plots. For the multivariable Cox model of predictors, multicollinearity was assessed using the variance inflation factor. Statistical analyses were performed using R software (version 4.4.2; R Foundation for Statistical Computing, Austria).

RESULTSStudy population

We included 1237 patients. Of these, 164 (13.3%) had been diagnosed with cancer before M-TEER. There was a significant increasing trend in the proportion of patients with cancer over time (Mann-Kendall test P =.048), with a moderate upward correlation (τ=0.56) (figure 1). The mean age was 73.1±10.5 years, and 34.1% were female. Before the procedure, patients were highly symptomatic, with 85.2% in New York Heart Association functional class III or higher. Both cardiovascular and noncardiovascular comorbidities were frequent: coronary artery disease (49.5%), atrial fibrillation (61.2%), diabetes mellitus (35.3%), chronic obstructive pulmonary disease (20.7%), and chronic kidney disease (76.4%). The median left ventricular ejection fraction was 40 [30%-55%], with 49.7% of patients having a left ventricular ejection fraction <40%. The median N-terminal pro-B-type natriuretic peptide was 2799 [2231-3591] pg/mL. MR etiology was FMR in 57.7%, DMR in 27.4%, and mixed MR in 14.9%.

Figure 1.

Central illustration. Study design and main findings. The figure illustrates the study design, key findings, and clinical outcomes of patients with a prior cancer diagnosis undergoing M-TEER compared with controls. The prevalence of prior cancer diagnosis in M-TEER patients was high and increased over time. MR was related to cardiotoxicity in 38.7%. MR type was associated with cancer location, anthracycline exposure, and left-sided chest radiotherapy. Kaplan-Meier graphs show comparable mid-term outcomes between cancer and noncancer survivors, with no significant differences in mortality or heart failure hospitalizations. Similar echocardiographic and functional improvements at 1 year further support the safety and feasibility of M-TEER in this population. Among cancer survivors, independent predictors of worse outcomes included hematologic malignancy, mediastinal radiotherapy, diabetes mellitus, anemia, and EuroSCORE II. 95%CI, 95% confidence interval; DMR, degenerative mitral regurgitation; FMR, functional mitral regurgitation; HFH, heart failure hospitalization; HR, hazard ratio; MR, mitral regurgitation; M-TEER, mitral transcatheter edge-to-edge repair; NYHA, New York Heart Association; RT, radiotherapy.

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The baseline characteristics of the unmatched and matched cohorts grouped by cancer diagnosis are shown in table 1. Patients with a history of cancer were slightly older, more often women, and more likely to present hypertension and anemia. Conversely, they were less likely to have a diagnosis of coronary artery disease or left ventricular systolic dysfunction. Although FMR was the most frequent etiology in both groups, the proportion was slightly lower in cancer survivors.

Table 1.

Baseline characteristics

Characteristic  Unmatched cohortPS matched cohort
  OverallN = 1237  Cancer survivorsn = 164  Controlsn = 1073  SMD  Cancer survivorsn = 163  Controlsn = 163  SMD 
Age, y  73.1 ± 10.5  74.3 ± 9.3  72.9 ± 10.7  0.15  74.3 ± 9.3  75.3 ± 9.1  0.11 
Female sex  422 (34.1)  63 (38.4)  359 (33.5)  0.10  62 (38.0)  64 (39.3)  0.03 
Body mass index, kg/m2  26.9 ± 4.6  26.9 ± 5.0  26.9 ± 4.5  0.01  26.9 ± 5.0  26.8 ± 4.5  0.01 
Diabetes mellitus  437 (35.3)  59 (36.0)  378 (35.2)  0.02  59 (36.2)  53 (32.5)  0.08 
Hypertension  881 (71.2)  125 (76.2)  756 (70.5)  0.13  124 (76.1)  128 (78.5)  0.06 
Hypercholesterolemia  723 (58.4)  92 (56.1)  631 (58.8)  0.05  92 (56.4)  96 (58.9)  0.05 
Smoker  371 (30.0)  44 (26.8)  327 (30.5)  0.08  44 (27.0)  38 (23.3)  0.08 
Coronary artery disease  612 (49.5)  69 (42.1)  543 (50.6)  0.17  69 (42.3)  68 (41.7)  0.01 
Stroke  123 (9.9)  16 (9.8)  107 (10.0)  0.01  16 (9.8)  11 (6.7)  0.11 
Peripheral artery disease  184 (14.9)  20 (12.2)  164 (15.3)  0.09  20 (12.3)  22 (13.5)  0.04 
COPD  256 (20.7)  39 (23.8)  217 (20.2)  0.09  38 (23.3)  38 (23.3)  0.00 
Atrial fibrillation  757 (61.2)  96 (58.5)  661 (61.6)  −0.06  96 (58.9)  103 (63.2)  −0.09 
eGFR, mL/min  42.5 [30.8-58.7]  40.5 [31.0-54.9]  42.8 [30.8-59.0]  −0.03  40.6 [30.9-55.5]  42.4 [32.4-60.3]  −0.05 
eGFR <60 mL/min  945 (76.4)  129 (78.7)  816 (76.0)  0.06  128 (78.5)  121 (74.2)  0.10 
Hemoglobin, g/dL  12.2 [10.9-13.6]  11.9 [10.5-13.5]  12.3 [11.0-13.6]  −0.03  11.9 [10.5-13.5]  12.3 [10.6-13.6]  −0.02 
Anemia  320 (25.9)  55 (33.5)  265 (24.7)  0.20  55 (33.7)  49 (30.1)  0.08 
EuroSCORE II  4.5 [2.7-7.2]  4.1 [2.5-6.8]  4.6 [2.7-7.2]  −0.18  4.2 [2.5-6.8]  4.3 [2.7-6.8]  −0.01 
NYHA Class        −0.01      0.05 
18 (1.5)  2 (1.2)  16 (1.5)    2 (1.2)  3 (1.8)   
II  165 (13.3)  23 (14.0)  142 (13.2)    22 (13.5)  24 (14.7)   
III  844 (68.2)  120 (73.2)  724 (67.5)    120 (73.6)  116 (71.2)   
IV  210 (17.0)  19 (11.6)  191 (17.8)    19 (11.7)  20 (12.3)   
LVEF, %  40.0 [30.0-55.0]  40.5 [31.0-56.0]  39.0 [30.0-55.0]  0.15  40.0 [31.0-56.0]  42.0 [30.0-55.0]  −0.02 
LVEF < 40%  615 (49.7)  69 (42.1)  546 (50.9)  −0.18  69 (42.3)  74 (45.4)  −0.06 
Etiology of MR        −0.14      −0.05 
Functional  714 (57.7)  85 (51.8)  629 (58.6)    85 (52.1)  89 (54.6)   
Degenerative  339 (27.4)  51 (31.1)  288 (26.8)    50 (30.7)  56 (34.4)   
Mixed  184 (14.9)  28 (17.1)  156 (14.5)    28 (17.2)  18 (11.0)   
NT-proBNP, pg/mL  2799 [2231-3591]  2805 [2481-3181]  2799 [2210-3629]  −0.01  2805 [2428−3183]  2799 [1879−3698]  0.06 

COPD, chronic obstructive pulmonary disease; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; MR, mitral regurgitation; NT-proBNP, N-terminal pro-B-type natriuretic peptide; SMD, standardized mean difference.

Unless otherwise indicated, the data are expressed as No. (%) or median [interquartile range].

Propensity score matching resulted in 163 pairs with an acceptable balance of baseline characteristics, with all standardized mean differences <0.15.

Cancer characteristics

Among the 163 matched cancer survivors, the median time from cancer diagnosis to M-TEER was 7 [3-17] years and the most common types of cancer were breast (20.9%), leukemia/lymphoma (19.6%), prostate (12.9%), colorectal (12.3%), and lung (6.1%). Additional oncological details are shown in table S1. Tumor type was associated with MR etiology (P < .001, figure 2). Lymphoma/leukemia patients were those the most likely to have FMR, while those with lung cancer were those who most frequently had DMR.

Figure 2.

Mitral regurgitation etiology according to cancer location. Cancer location was associated with MR etiology. FMR was particularly frequent in L/L patients, whereas DMR was the most frequent etiology in lung cancer survivors. CR, colorectal; DMR, degenerative mitral regurgitation; FMR, functional mitral regurgitation; L/L, leukemia or lymphoma; MMR, mixed mitral regurgitation; MR, mitral regurgitation.

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Oncological treatment data were available for 155 of 163 cancer survivors (95.1%). Table 2 summarizes chest radiotherapy and chemotherapy exposure, including agents linked to cancer therapy-related cardiac dysfunction. MR was attributed to the cardiotoxic effects of anticancer treatments in 60 patients (38.7%). Exposure to anthracyclines was significantly associated with FMR, whereas left-sided chest radiotherapy was linked to DMR (both P < .001). By contrast, HER2-targeted therapy showed no significant relationship with MR type (P=.427).

Table 2.

Anticancer treatments and MR type

Treatment  OverallN=155*  FMRn=80  DMRn=48  MMRn=27  P 
Chemotherapy(any agent)  74 (47.7)  43 (53.8)  20 (41.7)  11 (40.7)  .301 
Anthracyclines  47 (30.3)  35 (43.8)  5 (10.4)  7 (25.9)  <.001 
Anti-HER2  13 (8.4)  8 (10.0)  2 (4.2)  3 (11.1)  .427 
Chest radiotherapy(any location)  53 (34.2)  26 (32.5)  19 (39.6)  8 (29.6)  .615 
Left-sided  24 (15.5)  5 (6.3)  17 (35.4)  2 (7.4)  <.001 
Mediastinal  9 (5.8)  6 (7.5)  1 (2.1)  2 (7.4)  .432 

DMR, degenerative mitral regurgitation; FMR, functional mitral regurgitation. MMR, mixed mitral regurgitation.

Data are presented as No. (%).

*

Treatment data were missing for 8 survivors.

Periprocedural outcomes

Technical success rates were high and similar between the groups (cancer vs control: 96.9% vs 97.5%; P = .999). Device success was also comparable between the groups (88.3% vs 90.2%; P = .591). There were no differences in other procedural characteristics such as intervention time or the number of procedures requiring> 1 clip. The occurrence of major complications was low and similar between groups. In-hospital stay, and mortality were also similar (table 3). There were no significant differences in technical and device success when exploring between-group comparisons among the 3 MR etiology strata (table S2).

Table 3.

Periprocedural outcomes

Variable  Cancer survivorsn=163  Controln=163  P 
Technical success  158 (96.9)  159 (97.5)  >.999 
Device success  144 (88.3)  147 (90.2)  .591 
Device time, min  73 [45-94]  60 [40-85]  .246 
Procedural time, min  141 [110-180]  130 [105-160]  .171 
More than one clip  61 (37.4)  68 (41.7)  .428 
Postprocedural MR ≥ III  10 (6.1)  7 (4.3)  .455 
Postprocedural mean MVG, mmHg  3 [2-4]  3 [2-4]  .148 
Postprocedural mean MVG ≥ 5, mmHg  23 (14.1)  14 (8.6)  .116 
Clip detachment  6 (3.7)  2 (1.2)  .283 
Vascular surgery  1 (0.6)  0 (0.0)  >.999 
BARC Bleeding ≥3a  7 (4.3)  2 (1.2)  .174 
In-hospital death  2 (1.2)  2 (1.2)  >.999 
In-hospital stay, d  5 (3-7)  4 (3-6)  .285 

BARC, Bleeding Academic Research Consortium; MR, mitral regurgitation; MVG, mitral valve gradient.

The data are expressed as No. (%) or median [interquartile range].

The Kaplan-Meier estimates for the 30-day incidence of all-cause mortality or heart failure hospitalization were 3.7% in the cancer survivors and 4.3% in the control group (P = .783). The 30-day incidence of all-cause mortality was 1.2% in cancer survivors compared with 2.5% in controls (P = .417). Using Fine-Gray competing risk analysis, the 30-day incidence of heart failure hospitalization was 1.2% in cancer survivors and 2.5% in controls (P = .704).

Clinical outcomes

The overall median follow-up of the matched cohort was 24 [11-43] months. The Kaplan-Meier estimated cumulative incidence rates for the primary endpoint of all-cause mortality or heart failure hospitalization at years 1, 2, 3, and 4 are shown in table 4. The primary composite endpoint occurred in 149 patients (45.7%): 80 (49.1%) cancer survivors and 69 (42.3%) controls (hazard ratio [HR], 1.23; 95%CI, 0.89–1.70; P = .202) (figure 1). The estimate was consistent in a sensitivity analysis that excluded 4 patients with a history of nonmelanoma skin cancer (HR, 1.26; 95%CI, 0.91-1.74; P = .158). Although the primary endpoint occurred more frequently in patients with FMR compared with those with DMR or mixed MR (HR, 1.43; 95%CI, 1.03-2.00; P = .036), there was no significant interaction between MR etiology and the cancer vs control group (P for interaction=.516) (). Assessment of the proportional hazards assumption for the Cox model of the primary endpoint is shown in .

Table 4.

Cumulative incidence rates for the primary endpoint

Follow-up, y  OverallN=328  Cancer survivorsn=163  Controln=163  P 
26.2 (21.2-30.9)  29.3 (21.8-36.0)  23.1(16.2-29.5)  .364 
42.3 (36.1-47.8)  46.9 (38.0-54.6)  37.4 (28.6-45.0)  .358 
53.5 (46.5-59.5)  56.9 (46.9-65.0)  49.8 (39.6-58.4)  .622 
58.9 (51.4-65.2)  59.9 (49.5-68.1)  57.5 (46.2-66.5)  .889 

Cumulative incidence is presented as percentage and 95% confidence intervals.

No significant differences were observed between cancer survivors and controls regarding the individual components of the primary endpoint. A total of 101 (31.0%) all-cause deaths occurred, 56 (34.4%) in the cancer survivor group and 45 (27.6%) in the control group (HR, 1.27; 95%CI, 0.86-1.88; P = .237) (figure 3A). In addition, 100 (30.1%) patients experienced at least 1 episode of heart failure hospitalization, including 54 (33.1%) in the cancer survivor group and 46 (28.2%) in the control group. The subdistribution hazard ratio (sHR) for heart failure hospitalization, accounting for death as a competing risk, was 1.22 (95%CI, 0.82-1.80; P=.320) (figure 3B).

Figure 3.

Cumulative incidence curves for the components of the primary endpoint. A, Kaplan-Meier curve for all-cause mortality. B, Fine-Gray cumulative incidence curve for heart failure hospitalization, accounting for death as a competing risk. HFH, heart failure hospitalization.

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Among survivors with cancer therapy-related MR, risks were comparable to those of cancer survivors for the primary composite endpoint (HR, 1.05; 95%CI, 0.66-1.68; P = .824) and its components: all-cause death (HR, 1.21; 95%CI, 0.70-2.08; P = .498) and heart failure hospitalization (sHR, 1.10; 95%CI, 0.63-1.92; P = .750).

Predictors of clinical outcomes among cancer survivors

We evaluated predictors of adverse outcomes in the cancer cohort using univariable and multivariable Cox proportional hazards models (figure 4, ). In the multivariable analysis, diabetes mellitus, anemia, EuroSCORE II, hematologic malignancies, and mediastinal radiotherapy emerged as independent predictors of increased risk for the composite endpoint of all-cause mortality or heart failure hospitalization. All variance inflation factor values were close to 1, indicating no relevant collinearity (table S3). To further explore whether the association between hematologic malignancies and worse outcomes was driven by anthracycline exposure, we fitted a Cox model including the interaction term between these variables. Results were similar in subgroups of survivors with hematologic malignancies according to anthracycline exposure (P for interaction=.169). We observed no significant differences in EuroSCORE II between patients with hematologic malignancies and those with solid tumors (3.6 [2.4-6.2] vs 4.1 [2.4-7.1]; P=.531). Patients treated with anthracyclines had slightly lower EuroSCORE II values compared with those who did not receive anthracyclines (3.3 [IQR 2.0–5.8] vs 4.1 [IQR 2.6–7.3]; P=.043]. However, there was no interaction between anthracycline exposure and EuroSCORE II for the primary endpoint (P for interaction=.164).

Figure 4.

Forest plot of predictors of all-cause mortality or heart failure hospitalization in the cancer cohort. Univariable Cox regression (left) and multivariable Cox regression (right). The initial multivariable model included those variables with P <.15 in the univariable models. 95%CI, 95% confidence interval; AF, atrial fibrillation; CAD, coronary artery disease; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; HCL, hypercholesterolemia; HR, hazard ratio; LVEF, left ventricular ejection fraction; MR, mitral regurgitation; NYHA, New York Heart Association; PAD, peripheral artery disease; RT, radiotherapy.

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Functional and echocardiographic assessment at 1 year.

Among the 238 patients who were alive and had clinical follow-up at 1 year, echocardiographic and functional status data were available for 224 (94%) and 236 (99%) patients, respectively. At 1 year, 85.8% of patients in the cancer survivor group had MR grade II or lower, compared with 86.5% of patients in the control group (P = .889) (figure 5A). Regarding functional status, 80.0% of patients in the cancer survivor group and 80.2% in the control group were classified as New York Heart Association functional class I or II (P = .974) (figure 5B). The improvement in MR grade and New York Heart Association functional class compared with baseline was statistically significant for both the cancer and control groups (P < .001).

Figure 5.

Mitral regurgitation and functional outcomes at 1 year. Changes in (A) mitral regurgitation grade and (B) New York Heart Association functional class. Compared with baseline, both mitral regurgitation and New York Heart Association class improved significantly (P < .001). Mitral regurgitation grade and New York Heart Association class at 1 year were comparable between groups.

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DISCUSSION

In this multicenter cohort of patients undergoing M-TEER in Spain, the main findings were as follows: a) the proportion of patients with a prior cancer diagnosis was noteworthy and increased over time; b) MR etiology was associated with tumor location and cardiotoxic treatment regimens, although in most patients it was not directly attributable to cancer-related therapies; c) a history of malignancy was not associated with worse clinical outcomes compared with matched controls, although patients with hematologic malignancies had a less favorable prognosis; and d) a prior cancer diagnosis did not influence echocardiographic or functional status at 1-year of follow-up.

Since the regulatory approval of M-TEER more than a decade ago, its adoption in clinical practice has expanded significantly. In parallel, the burden of comorbidities among patients undergoing this procedure has also increased.18,19 In our study, 13.3% of patients undergoing M-TEER had a history of malignancy, a prevalence that agrees with prior reports ranging from 3.4% to 22.5%.20–26 Furthermore, we observed an increasing trend in the proportion of M-TEER procedures performed in patients with a history of cancer, consistent with findings reported by Guha et al.22 Given this increasing trend and the lack of data from landmark M-TEER randomized controlled trials for this subgroup, insights from this study may help guide shared decision-making in routine practice, particularly when the risk-benefit balance of the procedure remains unclear.27,28

Our results provide further insight into the characterization of MR in patients with a history of cancer, an aspect that has been underexplored, likely due to the administrative nature of databases or the single-center design of prior investigations. Among these, only 3 single-center studies detailed the etiology of MR, with FMR being the most frequent in 2 of them, a finding consistent with our observations.24–26 To our knowledge, this is the first study to describe an association between cancer type, treatment combinations, and MR type. We found that FMR was present in 75% of leukemia/lymphoma patients, while DMR was observed in 60% of lung cancer survivors. These associations may be attributable to the high prevalence of anthracycline exposure and left-sided chest radiotherapy, respectively, which were associated with FMR and DMR, respectively.

One of the key clinical questions when evaluating MR in cancer survivors is whether its etiology is directly related to cancer therapies (eg, DMR following left-sided or mediastinal radiotherapy) or indirectly related (eg, FMR in the context of anthracycline or anti-HER2 therapy-related cardiac dysfunction), or whether it simply reflects incidental coexistence due to the high prevalence of both conditions, particularly in survivors of extrathoracic malignancies not exposed to systemic treatments (eg, localized prostate or colorectal cancer). In our cohort, approximately one third of patients had MR that appeared to be related to prior oncologic therapy, while in the majority, the coexistence of cancer and MR lacked a clear causal link.9,10,29–32 A second question is whether the consideration of M-TEER should depend on the cardiotoxic etiology of MR. We found no significant prognostic differences between these 2 subgroups, suggesting that M-TEER may be an appropriate therapeutic option for cancer survivors regardless of MR etiology. However, decisions should be individualized, considering the characteristics of MR and the overall clinical profile of each patient.

Cancer survivors are at increased risk of frailty, poor functional status, and other conditions that may shift shared decision-making for MR treatment toward a noninterventional approach.33 Despite these concerns, prior studies consistently indicate that M-TEER is a feasible and safe alternative in these patients, with periprocedural outcomes and 30-day mortality rates comparable to those of noncancer counterparts.20–24 Only a single-center study suggested a trend toward increased mortality compared with controls.26 However, this finding should be interpreted with caution due to the small sample size and potential residual confounding, as the included cancer survivors had higher EuroSCORE II values than controls (14.0 ± 11.4 10.0 ± 6.7; P = .01). Our findings concur with the prevailing consensus that patients with a history of malignancy do not present an excess 30-day mortality risk compared with those without prior cancer.20–24

With respect to longer-term clinical outcomes, prior literature is inconclusive. On the one hand, Khan et al.,23 using electronic health records from the TriNetX Platform, and Kalkan et al.,24 in a single-center study of 143 patients with history of cancer, found no difference in 1-year all-cause mortality compared with controls., On the other hand, smaller single-center studies reported increased 1-year mortality in cancer survivors.25,26 Our multicenter study appears to shift the balance toward the former, showing no significant differences in mortality or heart failure hospitalizations at 1 year. Importantly, the neutral impact of a prior cancer diagnosis on clinical endpoints was supported by secondary endpoints, which showed comparable improvements in functional class and residual MR grade between groups. However, our findings should be interpreted with caution, as they are based on a selected cohort of cancer survivors from routine clinical practice, characterized by a long median time since cancer diagnosis, a substantial proportion without exposure to anthracyclines or chest radiotherapy, and a lower average EuroSCORE II compared with other series. In addition, our multivariable analysis identified subgroups with a less favorable prognosis. In particular, survivors of hematologic malignancies had a 2-fold increased risk of the primary endpoint (adjusted HR, 2.02; 95%CI, 1.15–3.55; P=.015), consistent with findings from the CARDIOTOX registry, where these malignancies were associated with worse outcomes related to cancer therapy-induced cardiac dysfunction due to high cumulative doses of anthracyclines.34 Although the association in our study appeared independent of anthracycline exposure, it is important to note that most of these patients did receive anthracyclines, and we lacked data on cumulative dose, which may have limited our ability to detect a dose-response relationship. Lastly, patients with hematologic malignancies did not have higher EuroSCORE II values than those with solid tumors. Moreover, anthracycline-treated patients showed slightly lower EuroSCORE II values, and no significant interaction was found between EuroSCORE II and anthracycline exposure. These findings suggest that the increased risk observed in hematologic malignancies (and the lack of prognostic impact of anthracycline exposure) cannot be explained by differences in baseline surgical risk.

Study limitations

Heterogeneity in cancer definition (type, stage, status, time of diagnosis, therapies) may have constituted a source of variability, potentially reducing the precision of our estimates. Due to the limited sample size, we were unable to perform subgroup analyses by cancer characteristics, and we could not combine treatment details and tumor location with the mechanism of MR in a single analysis. The absence of cumulative anthracycline dose data precluded assessment of dose–response relationships and may have obscured associations with prognosis. The extended inclusion period may limit the generalizability of our findings to contemporary practice.

CONCLUSIONS

In this nationwide multicenter study of M-TEER patients, a prior cancer diagnosis did not negatively impact all-cause mortality or heart failure hospitalizations at midterm follow-up. Furthermore, echocardiographic and functional assessments at 1 year were comparable with those of patients without prior malignancy. However, certain subgroups, particularly survivors of hematologic malignancies and those with higher baseline surgical risk, had a less favorable prognosis.

FUNDING

R. González-Manzanares was awarded research contracts (CM22/00259, JR24/00064) and an international mobility grant (MV24/00106) from the Carlos III Health Institute (Madrid, Spain). Funding for open access charge: Universidad de Córdoba / CBUA.

ETHICAL CONSIDERATIONS

The study was conducted in accordance with the Declaration of Helsinki and was approved by the ethics committee of Córdoba, Spain (code 5956). Owing to the observational design based on pseudonymized routinely collected data, the requirement for written informed consent was waived. Regarding potential sex/gender bias, we followed the SAGER recommendations where feasible: sex was recorded, reported in baseline characteristics, and included in propensity score models; sex-stratified analyses were not performed due to limited sample size. The current work follows the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) guidelines for reporting observational studies

STATEMENT ON THE USE OF ARTIFICIAL INTELLIGENCE

This work was prepared by the authors without the use of artificial intelligence.

AUTHORS’ CONTRIBUTIONS

R. González-Manzanares: conceptualization, methodology, formal analysis, visualization, writing–original draft, writing–review and editing. S. Ojeda: conceptualization, investigation, supervision, project administration, writing–review and editing. D. Mesa: conceptualization, investigation, supervision, project administration, writing–review and editing. M. Pan: conceptualization, investigation, supervision, project administration, writing–review and editing. All other authors contributed to the investigation process and reviewed and provided conceptual feedback. All authors approved the final version of the manuscript.

CONFLICTS OF INTEREST

S. Ojeda has received consulting honoraria from Abbott and speaker honoraria from Edwards Lifesciences. F. Carrasco-Chinchilla has received proctoring honoraria from Abbott and Edwards Lifesciences for M-TEER procedural imaging. L. Nombela-Franco has received proctoring honoraria from Abbott and Edwards Lifesciences. R. Estévez-Loureiro has received consulting and speaker fees from Abbott, Edwards Lifesciences, Boston Scientific, Venus Medtech, Jenscare, and Valgen. M. del Trigo has received proctoring honoraria from Abbott for M-TEER procedures and speaker fees from Abbott and Edwards Lifesciences. X. Freixa has received proctoring and consulting honoraria from Abbott and Edwards Lifesciences. I. Cruz-González has received proctoring and consulting honoraria from Abbott and consulting honoraria from Edwards Lifesciences. C. Garrote-Coloma has received proctoring honoraria from Abbott for M-TEER procedures. P. Jiménez Quevedo has received proctoring honoraria from Abbott for M-TEER procedures. V. Moñivas has received proctoring honoraria from Abbott for M-TEER procedures and speaker fees from Abbott and Edwards Lifesciences. A. Ruberti has received a training grant from Edwards Lifesciences. M. Pan has received speaker honoraria from Abbott and Edwards Lifesciences. All other authors have no relationships to disclose. J. Sanchis is editor-in-chief of Revista Española de Cardiología and P. Avanzas is associate editor of Revista Española de Cardiología; the journal's editorial procedure to ensure impartial processing of the manuscript has been followed.

WHAT IS KNOWN ABOUT THE TOPIC?

  • Patients with a history of cancer may present MR attributable to therapy-related cardiotoxicity, or MR may simply co-occur as an incidental overlap given the high prevalence of both conditions. Prior studies have reported short-term outcomes after M-TEER in this population, with inconsistent results. Evidence linking cancer type and treatment exposure to MR mechanism is limited, and mid-term clinical outcomes remain largely undefined.

WHAT DOES THIS STUDY ADD?

  • In this multicenter study, most cancer survivors undergoing M-TEER had MR that was not attributable to prior cancer therapies. Midterm outcomes, including all-cause mortality and heart failure hospitalization, were comparable with those of patients without a history of cancer. Among cancer survivors, factors associated with worse outcomes included hematologic malignancies, diabetes mellitus, anemia, mediastinal radiotherapy, and higher EuroSCORE II.

APPENDIX
SUPPLEMENTARY DATA

Supplementary data associated with this article can be found in the online version, at https://doi.org/10.1016/j.rec.2025.10.001

Appendix C
PRINCIPAL INVESTIGATORS AND PARTICIPATING CENTERS

The authors guarantee that the following researchers are responsible for the data published in this study:

  • 1.

    Manuel Pan. Hospital Universitario Reina Sofía, Córdoba, Spain

  • 2.

    Fernando Carrasco-Chinchilla. Hospital Universitario Virgen de la Victoria, Málaga, Spain

  • 3.

    Tomas Benito-González. Complejo Asistencial Universitario de León, León, Spain

  • 4.

    Isaac Pascual. Hospital Universitario Central de Asturias (HUCA), Oviedo, Asturias, Spain

  • 5.

    Luis Nombela-Franco. Hospital Clínico San Carlos, Madrid, Spain

  • 6.

    Ana M. Serrador Frutos. Hospital Clínico Universitario de Valladolid, Valladolid, Spain

  • 7.

    Rodrigo Estévez-Loureiro. Hospital Álvaro Cunqueiro, Vigo, Pontevedra, Spain

  • 8.

    María del Trigo. Hospital Universitario Puerta de Hierro Majadahonda, Majadahonda, Madrid, Spain

  • 9.

    Xavier Freixa. Hospital Clínic de Barcelona, Barcelona, Spain

  • 10.

    Leire Andraka. Hospital Universitario Basurto, Bilbao, Vizcaya, Spain

  • 11.

    José L. Díez-Gil. Hospital Universitario y Politécnico La Fe, Valencia, Spain

  • 12.

    Ignacio Cruz-González. Hospital Universitario de Salamanca, Salamanca, Spain

  • 13.

    Xavier Carrillo. Hospital Universitario Germans Trias i Pujol, Badalona, Barcelona, Spain

  • 14.

    Juan Sanchis. Hospital Clínico Universitario, Valencia, Spain

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D. Mesa and M. Pan contributed equally to this work and share senior authorship.

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