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The modified MIDA-Score predicts mid-term outcomes after interventional therapy of functional mitral regurgitation

  • Can Öztürk ,

    Contributed equally to this work with: Can Öztürk, Marc Ulrich Becher

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Writing – original draft, Writing – review & editing

    can.oeztuerk@ukbonn.de

    Affiliation Heart Centre, Department of Cardiology, University Hospital Bonn, Bonn, Germany

  • Marc Ulrich Becher ,

    Contributed equally to this work with: Can Öztürk, Marc Ulrich Becher

    Roles Conceptualization, Formal analysis, Methodology, Supervision, Writing – review & editing

    Affiliation Heart Centre, Department of Cardiology, University Hospital Bonn, Bonn, Germany

  • Alev Kalkan,

    Roles Conceptualization, Data curation, Investigation, Methodology

    Affiliation Heart Centre, Department of Cardiology, University Hospital Bonn, Bonn, Germany

  • Refik Kavsur,

    Roles Investigation, Visualization

    Affiliation Heart Centre, Department of Cardiology, University Hospital Bonn, Bonn, Germany

  • Marcel Weber,

    Roles Data curation, Investigation, Resources, Software, Supervision

    Affiliation Heart Centre, Department of Cardiology, University Hospital Bonn, Bonn, Germany

  • Georg Nickenig,

    Roles Funding acquisition, Supervision, Validation, Writing – review & editing

    Affiliation Heart Centre, Department of Cardiology, University Hospital Bonn, Bonn, Germany

  • Vedat Tiyerili

    Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Writing – review & editing

    Affiliation Heart Centre, Department of Cardiology, University Hospital Bonn, Bonn, Germany

Abstract

Aims

The preprocedural assessment of outcomes and patients’ prognosis after interventional therapy of functional MR (FMR) is uncertain. Therefore, we aim to develop an easy-to-handle scoring system for adequate prediction of individual outcomes in patients with FMR after the interventional treatment.

Materials and methods

We retrospectively used medical data of patients with symptomatic FMR, who underwent transcatheter mitral valve repair (TMVR) from January 2014 to August 2016 in our heart center. All patients had the mean follow-up of 18 months. All clinical and echocardiographic data originate from the “Bonner Mitral Valve Register Database”.

Results

We included 105 patients (76,7±8,8 years, 50,6% female) with symptomatic (NYHA functional class>II) moderate-to-severe or severe FMR at surgical high-risk. We modified the MIDA-Score for degenerative MR (DMR) according to the varying underlying pathomechanisms of FMR, called as “The modified MIDA Score”. We found all-cause mortality of 7% within 18 months after the procedure. 34,1% of our cohort was rehospitalized; 90% of those were due to cardiovascular causes. The modified MIDA score was found to be a strong predictor for mortality and rehospitalization in patients with FMR (AUC: 0,89) and superior to the other conventional scoring systems in prediction of mortality (The modified MIDA-Score: AUC: 0,8, EuroSCORE II: AUC: 0,57, STS-Score: AUC: 0,51). The logistic regression analysis showed the modified MIDA score > 9 points to be the strongest predictor for mortality and rehospitalization after TMVR (OR: 3,35, p = 0,011).

Conclusion

The modified MIDA score was found to be a promising, easy-to-handle, elementary scoring system for adequate prediction of individual postinterventional prognosis in patients with FMR undergoing TMVR. Further evaluation and validation of this novel scoring system in prospective multicentric studies with a large number of patients is warranted.

Introduction

Mitral regurgitation (MR) is common valvular heart disease and associated with high mortality and reduced quality of life. According to the underlying pathomechanism, there are mainly two etiological types of MR. First, degenerative MR (DMR) is caused by the organic pathology of the mitral valve or the mitral valve apparatus. Second, functional MR (FMR) is a disease of the left ventricle, which is accompanied by ventricular dilation, displacement of papillary muscle, and annular dilation followed by tethering of the leaflets and coaptation deficiency without any organic pathology of the mitral valve. FMR is an often finding in patients with chronic heart failure (CHF) and correlates with adverse prognosis, reduced quality of life, and high mortality [1].

Compared to DMR, the management of FMR is more complex and challenging concerning advanced age, pronounced left ventricular (LV) dysfunction with high LV enddiastolic pressure, elevated systolic pulmonary artery pressure, and more often comorbidities. The standard treatment of FMR consists of guidelines-directed optimal medical heart failure therapy, cardiac resynchronization therapy (if appropriate), and valve repair or replacement (surgical or interventional) [2]. Transcatheter mitral valve repair (TMVR) has been established in clinical practice and is increasingly and successfully performed in patients at surgical high-risk [3], [4], [5].

The precise decision-making for MR therapy in CHF patients is essential and challenging, particularly in patients with FMR is even more complicated due to more prevalent comorbidities. The proper assessment of patients' prognosis and patient management require a multifactorial, comprehensive evaluation with clinical examinations and imaging issues. There are two established conventional scoring systems (EuroSCORE and STS-Score) for the surgical risk assessment in patients with structural heart diseases [6], [7]. These traditional scoring systems focus on the evaluation of the surgical risk concerning surgery-related mortality and morbidity instead of the prediction of postprocedural long-term patients' prognosis or outcomes. Grigioni et al. have recently published the Mitral Regurgitation International Database (MIDA) Score as a novel scoring system, which sufficiently predicts short- and long-term outcomes in patients with DMR [8].

In clinical practice, a prognostic scoring system for FMR patients is essential to overcome the challenging management of FMR treatment followed by favorable outcomes. This scoring system should be easy-to-handle and should not require further unnecessarily complex examinations, i.e., cardiac computed tomography. A novel FMR-focused scoring system may lead to the sufficient pre- and postprocedural management of FMR in CHF patients, which may additionally enable the adequate patient selection following with smoother decision-making and superior postinterventional outcomes.

In this present study, we aimed to develop a novel easy-to-handle scoring system for the proper management of patients with FMR that enables the adequate assessment of postprocedural outcomes and patient's prognosis.

Materials and methods

Patients and endpoints

We retrospectively selected patients with symptomatic, moderate-to-severe or severe FMR, who underwent transcatheter mitral valve repair (TMVR) from January 2014 to August 2016 in Heart Center of University Hospital Bonn. All patients were discussed in the heart team and classified as surgical high-risk due to comorbidities and advanced age. All included patients had the mean follow-up (FU) of 18 months. The present study is a retrospective subgroup of patients, who were registered in the Bonner Mitral Valve Register previously. Therefore, all clinical and echocardiographic data originate from the “Bonner Mitral Valve Register Database”.

In line with MVARC (Mitral valve academic research consortium) definitions, the primary endpoint was defined as a combined endpoint consisting of cardiovascular mortality and rehospitalization due to cardiac decompensation. Secondary endpoints were all-cause mortality and rehospitalization.

The Bonner Mitral Valve Register is following the Declaration of Helsinki and was authorized by the local ethics committee “Ethics Committee of the Faculty of Medicine at the University of Bonn, Germany”. All patients signed written informed consent for using their medical records for research issues before the registration in Bonner Mitral Valve Register Database. All patient-related data were fully anonymized before data entry in the Database and analyzed for the study.

Clinical assessment and imaging

All patients underwent a comprehensive echocardiographic examination before and after TMVR according to current recommendations and guidelines, including additional 3D echocardiography [4], [9].

According to the Simpson's method, the left ventricular ejection fraction (LV-EF) was determined by volumetric analysis of the LV in the apical four-chamber view. The pulsed-wave Doppler of the inflow profile of the mitral valve (MV) and the tissue Doppler on the medial MV annulus were used to assess the LV's diastolic dysfunction. The dimensional assessment of the LV and the left atrium were done by volumetric measurement using point-and-click tracing method from the apical four-chamber view. The grading of MR severity was performed using the radius of proximal isovelocity surface area (PISA), effective regurgitant orifice area (EROA), as well as vena contracta width (VC) and regurgitant volume (RegVol) according to current guidelines [10]. EROA and RegVol were calculated by the semi-quantitative PISA-method. According to the modified Bernoulli equation, the right ventricle systolic pressure (RVSP) was estimated from the peak systolic velocity of tricuspid regurgitation in the continuous-wave Doppler equation.

Delta-pressure = 4 x velocity

Transesophageal echocardiography (TEE) was performed for the accurate assessment of MR pathology and MV geometry. The images from TEE were conducive to evaluate the feasibility of TMVR. The echocardiographic studies were performed with commercially available echocardiographic systems (iE 33, Philips Medical Systems, Andover, Massachusetts; Vivid 7, General Electric Medical Health, Waukesha, Wisconsin, USA) and echocardiography probes (X5-1, X7-2t; M4S, 6VT) allowing acquisition both 2D and 3D data sets.

Transcatheter mitral valve repair

Procedural details of TMVR with the MitraClip® or Cardioband® system have been previously described [4], [5], [11]. The number of clips and cinching size required for procedural success were left to the discretion of the treating physician. The size of Cardioband prosthesis was decided by geometrical measurements from cardiac computed tomography preinterventionally.

Acute changes in MR severity were assessed by intraprocedural real-time TEE. Acute procedural success was defined as a reduction of MR to Grade < II or at least one grade reduction after the clip deployment or completed cinching. Relevant MV stenosis (mean valve pressure gradient (MVG)>5mmHg) was excluded before clip release or after completed cinching of the Cardioband system.

Statistical analysis

The Shapiro Wilk test was used to analyze the normal distribution. Continuous data were expressed as mean values ± standard deviation if normally distributed. Categorical data were presented as percentage values. The Student's two-sample t-test was performed to compare mean values of continuous variables. The Fisher's exact test and the Chi-square test were used to compare categorical data. Two-tailed p-values were considered to be significant if ranging below 0.05.

The Cox proportional hazard analysis was performed to assess predictive values of parameters from the modified MIDA-Score (age, presence of atrial fibrillation, symptoms, left atrial diameter, RVSP, left ventricular enddiastolic diameter, LVEF) for the combined primary endpoint. The multivariate analysis with adjustment on age and atrial fibrillation was performed to evaluate the influence of echocardiographic parameters on the clinical outcome. The ROC analysis was used to assess the predictive power and cut-off values of the score-related parameter in FMR patients. The area under the curve (AUC) shows the positive predictability of the parameters. AUC above 0,5 indicates a good measure of separability. The univariate analysis was performed to assess the impact of factors on clinical outcomes. According to grades of the modified MIDA score, risk categories were evaluated using the weight-distribution determined by hazard ratio (HR) and p-value from the cox proportional-hazard regression analysis. The points (0–4) with HR < 1,2 and p>0.5 were assumed to be low risk (Grade 1); 5–9 points with 5>HR>1.2 and 0.5>p>0.01 were moderate risk (Grade 2); 10–12 points with HR>5 and p>0.01 high risk (Grade 3). The predictors of survival were depicted with the Kaplan-Meier curve. Survival in groups was compared by the Logrank test. Statistics were performed using SPSS for Windows (PASW statistic, Version 25.0.0.0, SPSS Inc., Chicago, Illinois, USA) and MedCalc statistical software (MedCalc Software, Version 11.4.1.0, Mariakerke, Belgium).

Results

Patients, intervention, and FU

We retrospectively included 105 patients (76,7±8,8 years, 50,6% female) with symptomatic (100% NYHA functional class>II) moderate-to-severe or severe FMR (PISA: 0,7±0,4 cm, VC width: 0,8±0,3 cm, EROA: 0,22±0,1 cm2, RegVol: 38,1±19,2 ml) at surgical high-risk (EuroSCORE II: 5,4±3,8%, STS-Score: 4,7±2,8%) from the “Bonner Mitral Valve Register Database”. All patients were on guidelines-directed optimal medical heart failure therapy at baseline and FU. The majority of patients (87,5%) had at least triple anti-congestive therapy at baseline.

The mean LVEF was 40,1±15,2% with dilated LV (left ventricular end-diastolic dimension; 6.2±0.3 cm). We found dilated left atrium (the mean left atrial volume: 91,7±39,5 ml) and increased right ventricular systolic pressure (the mean RVSP: 43,4±13 mmHg) with normal right ventricular function (the mean tricuspid annular pre-systolic excursions (TAPSE): 2,1±0,3 cm) at baseline.

Eighty-seven patients (82,8%) were treated by interventional edge-to-edge repair (MitraClip system®) and the remaining 18 patients (17,2%) by interventional annuloplasty (Cardioband system®). 92% of procedures were successfully performed without periprocedural mortality. Eight procedures (7,6%) were terminated due to irreducible MR and anatomical challenges. Devices and delivery systems were retracted without complication in those patients. Four patients (3,8%) showed pericardial effusion; two (1,9%) of them presented with hemodynamical relevance, who were successfully treated with prompt pericardiocentesis. Those patients were discharged without any remained complications.

The mean FU duration was 18,2±6,4 months. All-cause mortality was 7% at FU within 18 months after the procedure. 34,1% (n = 33) of successfully treated patients were rehospitalized during FU; 90% (n = 30) of them were due to cardiac decompensation. Demographical and echocardiographical characteristics are presented in Tables 1 and 2.

A novel scoring system for FMR; the modified MIDA-Score

In contrast to DMR patients, patients with FMR are older and show predominantly deteriorated LV function with dilated LV and normal mitral valve anatomy without organic pathology. In addition, elevated LV enddiastolic filling pressure with elevated right ventricular systolic pressure is an often finding in patients with FMR. The broad impact scale of outcome-related parameters based on different underlying pathomechanisms in both types of MR has been previously shown in four meta-analyses with large number of patients (8864) [12, 13, 14, 15]. They are entirely two different patients' cohort–FMR and DMR patients; therefore, they should be separately evaluated.

Owing to varying underlying pathomechanisms, we performed the following modification of the original MIDA-Score. First, we re-determined cut-off values of score-related parameters–Adaption of cut-off values- based on the previous metanalysis with large number of patients and, additionally, using the summarized ROC analysis of our patient cohort:

  1. Age: Cut-off: 76 years Modification: >65 to >75;
  2. LV-EF: Cut-off: 47% Modification: ≤60 to ≤45;
  3. RVSP: Cut-off: 46 mmHg Modification: ≥50 to ≥45

The comparison between the original and modified MIDA score is presented in Table 3.

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Table 3. Detailed presentation of the difference between the original and modified MIDA score.

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Second, we performed the Cox proportional hazard analysis and the adjusted multivariate analysis to evaluate the power of effect (statistically weighting) of each parameter from the modified MIDA score (Tables 4 and 5). We consequently re-arranged the weighting distribution of the score-related factors by the Cox regression analysis regarding the combined primary endpoint. The re-arrangement of the point-distribution was as follows: Age: 2 points, Symptoms: 1 point, atrial fibrillation (AF): 2 points, left atrial diameter (LAD): 1 point, right ventricle systolic pressure (RVSP): 2 points, left ventricle end-systolic diameter (LVEDD): 2 points, left ventricle ejection fraction (LVEF): 2 points. The predictive value of each parameter was analyzed by the ROC analysis, as shown in Fig 1. The modified MIDA score showed a positive homogeneous correlation with the original MIDA score (Fig 2).

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Fig 1. Predictive values of each parameter according to the ROC analysis.

(AF: Atrial fibrillation, LAD: Left atrial diameter, LVEF: Left ventricular ejection fraction, LVESD: Left ventricular end-systolic diameter, RVSP: Right ventricular systolic pressure).

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Fig 2. Scatter diagram showing the linear relationship between the original and modified MIDA score.

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Table 4. Statistical re-weighting of parameters for the modified MIDA Score and re-arrangement of the point distribution using the Cox proportional hazard analysis.

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Table 5. The adjusted multivariate regression analysis: Only age>75 and age>75 & presence of atrial fibrillation.

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Predictive value of the modified MIDA Score

The Cox proportional hazard analysis showed age (HR: 2,95, p = 0,03) as the most reliable parameter for the prediction of the combined outcome (Table 3). The adjusted multivariate analysis (on age>75) showed baseline LVEF as the strongest predictor for the combined endpoint (OR: 3,8, 95% CI: 1,04 to 13,83, p = 0,04). On the other hand, we found baseline LVEF and baseline RVSP strong predictors for the combined endpoint in adjusted multivariate analysis for age > 75 and presence of atrial fibrillation (LVEF: OR: 2,8, 95%CI: 0,97 to 8,1, p = 0,05; RVSP: OR: 2,7, 95%CI: 0,93 to 7,13, p = 0,05) (Table 5).

According to the Longrank test, the MIDA Score for DMR showed no statistically significant predictability for mortality and rehospitalization in patients with FMR at follow-up (p = 0,5). Although, the modified MIDA score > 9 (Grade III) was found to be a strong predictor for the combined endpoint with statistical significance and high sensitivity > 80% (AUC: 0,89, p = 0,03) (Fig 3). The Cox proportional hazard regression analysis revealed that the modified MIDA score above 9 (Grade III) points as a strong predictor for mortality and rehospitalization as well (p>0,001) (Table 6). According to the Longrank test, we found the highest mortality in patients with the modified MIDA score above 9 (Grade III) followed by patients with Grade II (4<Points<10) (Fig 4).

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Fig 3. Prediction capability of the modified MIDA Score concerning the combined endpoint: The ROC analysis.

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Fig 4. Presentation of survival according to grades of the modified MIDA Score: The Kaplan-Meier curve.

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Table 6. Risk stratification of the modified MIDA Score concerning the combined endpoint: A detailed list with point distribution using the cox proportional hazards regression analysis.

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Related to the grading of the modified MIDA Score, 12,5% of patients with grade I, 27% of patients with grade II, 57% of patients with grade III attained the primary combined endpoint at FU. According to the logistic regression analysis, grade III was significantly associated with the combined endpoint (p = 0,038) (Table 7 and Fig 5).

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Fig 5. Probability of the combined endpoint in grades of the modified MIDA score: The Logistic regression analysis.

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Table 7. Predictive values of grades of the modified MIDA Score: The Logistic regression analysis.

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The modified MIDA score was found to be superior regarding prediction of the combined endpoint in FMR patients with high sensitivity (>80%) and specificity (> 80%) compared to the other conventional surgical score systems according to the comparison of ROC curves (The modified MIDA-Score AUC: 0,8, EuroSCORE II; AUC: 0,57, STS-Score; AUC: 0,51) (Fig 6).

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Fig 6. Comparison of score systems in FMR patients: Comparison of ROC curves.

(AUC: Area under the curve, STS: The Society of Thoracic Surgeons, MIDA: The Mitral Regurgitation International Database).

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Discussion

MR is common valvular heart disease and presents a public health problem associated with impaired quality of life and high mortality. Concomitant MR is a known predictor for unfavorable outcomes in patients with chronic heart failure [3]. MR treatment is complex and influenced by many clinical and echocardiographic parameters. Hence, it is a teamwork from an interdisciplinary team, and every patient should be decided and evaluated individually. The decision-making regarding the type and timing of MR therapy is challenging due to preexisting impaired LV function and advance comorbidities. The guideline-directed optimal heart failure medical therapy (GDOMT) and surgical treatment are standard of care and essential in such patients [2]. On the other hand, interventional treatment of MR should also be taken into account in patients at surgical high-risk, which is not an exotic and rare phenomenon. Therefore, the preprocedural assessment of patients' prognosis and potential procedural outcomes plays a pivotal role in the management of MR.

Recent studies showed conflicting results concerning outcomes after interventional MR therapy. Interventional treatment of DMR is superior to alone GDOMT in almost all published studies. However, outcomes after the interventional FMR treatment are inconsistent. Although several studies presented superior outcomes of interventional FMR therapy, there are also some studies showing no beneficial impact of the interventional FMR treatment compared to GDOMT alone [3, 12, 13, 16, 17]. Thus, management, especially preprocedural, of the interventional MR treatment should be appropriately performed. Adequate management of FMR patients requires, first and most important, sufficient assessment of patients' prognosis and outcomes of the potential procedure. Second, decision-making based on selection of type and timing of therapy should be interdisciplinary and carefully done. Third, postprocedural management of patients is essential and should be planned according to preprocedurally assessed potential outcomes of the intended procedure. Therefore, a novel scoring system predicting patients' prognosis and long-term outcomes for patients with FMR is urgently needed for challenging management of complex MR treatment.

There are already two derived and validated scoring systems (EuroScore II and STS-Score) with excellent predictive values (AUC>0,8) to assess the surgical risk in patients with structural heart disease [6, 7]. However, they were developed only for assessment of the surgical risk and focus solely on surgery-related short-term outcomes. Compared to conventional risk scoring systems, the modified MIDA score is generated from seven important parameters consisting of three clinical and four echocardiographic prognosis-relevant parameters. On the other hand, the modified MIDA score is explicitly adapted to FMR patients based on the underlying pathomechanism of FMR according to the meta-analysis with large number of patients and monocentric analysis of our patients' cohort. It might lead to a proper, etiology-adapted, and individual assessment of patients' prognosis and procedural outcomes in patients with FMR undergoing interventional therapy. In addition, it might achieve the selection of eligible patients with potentially favorable outcomes for interventional treatment of FMR.

Grigioni et al. have presented the MIDA mortality risk score as a novel risk scoring system that enables appropriate outcome assessment in patients with DMR under medical or surgical therapy [8]. This risk score is based on patients with DMR and focuses on the risk of mortality. However, rehospitalization is another crucial prognostic parameter, which leads to impaired quality of life, increased mortality, and high health care costs. Therefore, it should be a pivotal and inevitable part of prognostic assessment. Of note, compared to patients with DMR, recurrent rehospitalization is more often in FMR, and it is considered to be one of main problems in patients with FMR, who frequently decompensate due to impaired LV function with concomitantly persisting MR despite GDOMT [18].

The modified MIDA score lead to adequate prediction of the combined endpoint consisting of cardiovascular mortality and rehospitalization, which may enable sufficient prognostic assessment in patients with FMR postprocedurally. We found statistically significant adverse outcomes (high mortality and often rehospitalization) in patients with the modified MIDA Score >9 (Grade III) within 18 months after the procedure. It might be explained by preexisting worse cardiac conditions (impaired LV function, high RVSP) and/or the late-onset treatment–preexisting irreversible remodeling, myocardial fibrosis, and already adapted pulmonary circulation. Interventional treatment of FMR should be more critically discussed in such patients due to unfavorable outcomes.

In line with the MITRA-FR and COAPT studies, adequate assessment of patient's prognosis and outcomes of the intended procedure with proper decision-making (type and timing of therapy) plays a pivotal role in getting favorable outcomes in patients with FMR undergoing TMVR [16, 17]. Traditional surgical risk scores is lacking for sufficient assessment of individual long-term outcomes of the interventional FMR treatment. The modified MIDA score might facilitate sufficient assessment of postprocedural outcomes and patients' prognosis in FMR patients undergoing TMVR, which might lead to more favorable outcomes owing to proper management of patients with FMR.

Limitations

This single-center retrospective study has several limitations. We retrospectively selected the small number of patients (n = 105) with completed data from the Bonner Mitral Valve Register Database, which reflects just a tiny part of FMR patients in the real world. The retrospective nature of this study and the targeted patient selection from the Database might be reasons for bias. Furthermore, our echocardiographic data weren´t adjudged by an independent core-lab.

Moreover, FU was just for 18 months. Our small size cohort included only the patients who underwent interventional treatment of FMR. The surgically and conservatively treated patients were not included in the present study, which should be considered as bias. Hence, the modified MIDA score should be proven in multicentric statistical validation studies with a large number of patients inclusively surgical and conservative treatment.

Conclusion

The modified MIDA Score was found to be a promising, elementary, easy-to-handle tool, which might lead to adequate prediction of individual postprocedural outcomes in patients with FMR undergoing TMVR. It might enable proper management of the FMR treatment. Our preliminary data should be validated by a multicentric study with the large number of patients.

Supporting information

S1 Fig. Histogram of the point distribution of the modified MIDA Score.

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S2 Fig. Predictive value of the modified MIDA Score > 9 points: The ROC curve.

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(TIF)

S3 Fig. Probability of the combined endpoint in grades of the modified MIDA Score: The Cox regression analysis.

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S4 Fig. The Kaplan-Meier curve for grades of the modified MIDA Score regarding the combined endpoint.

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References

  1. 1. Marmagkiolis K, Hakeem A, Ebersole DG, et al. (2019) Clinical outcomes of percutaneous mitral valve repair with MitraClip for the management of functional mitral regurgitation. Catheter Cardiovasc Interv 71:110. pmid:30938045
  2. 2. Baumgartner H, Falk V, Bax JJ, et al. (2018) [2017 ESC/EACTS Guidelines for the management of valvular heart disease]. Kardiol Pol 76:1–62. pmid:29399765
  3. 3. Feldman T, Kar S, Elmariah S, et al. (2015) Randomized Comparison of Percutaneous Repair and Surgery for Mitral Regurgitation: 5-Year Results of EVEREST II. J Am Coll Cardiol 66:2844–2854. pmid:26718672
  4. 4. Baldus S, Schillinger W, Franzen O, et al. (2012) MitraClip therapy in daily clinical practice: initial results from the German transcatheter mitral valve interventions (TRAMI) registry. Eur J Heart Fail 14:1050–1055. pmid:22685268
  5. 5. Miller M, Thourani VH, Whisenant B (2018) The Cardioband transcatheter annular reduction system. Ann Cardiothorac Surg 7:741–747. pmid:30598887
  6. 6. Roques F, Michel P, Golstone AR, Nashef SAM (2003). The logistic EuroSCORE. The logistic EuroSCORE. Eur Heart J, 24(9), 881–882.
  7. 7. Andreson RP (1994). First publications from the Society of Thoracic Surgeons National Database., Ann Thorac Surg. 57(1), 6–7. pmid:8279920
  8. 8. Grigioni F, Clavel M-A, Vanoverschelde J-L, et al. (2018) The MIDA Mortality Risk Score: development and external validation of a prognostic model for early and late death in degenerative mitral regurgitation. Eur Heart J 39:1281–1291. pmid:29020352
  9. 9. Zoghbi WA, Enriquez-Sarano M, Foster E, et al. (2003) Recommendations for evaluation of the severity of native valvular regurgitation with two-dimensional and Doppler echocardiography. J Am Soc Echocardiogr 16:777–802. pmid:12835667
  10. 10. Lancellotti P, Moura L, Pierard LA, et al. (2010) European Association of Echocardiography recommendations for the assessment of valvular regurgitation. Part 2: mitral and tricuspid regurgitation (native valve disease). Eur J Echocardiogr 11:307–332. pmid:20435783
  11. 11. De Bonis M, Taramasso M, Lapenna E, et al. (2016) MitraClip therapy and surgical edge-to-edge repair in patients with severe left ventricular dysfunction and secondary mitral regurgitation: mid-term results of a single-centre experience†. Eur J Cardiothorac Surg 49:255–262. pmid:25669650
  12. 12. Giannini C, D'Ascenzo F, Fiorelli F, et al. (2018) A meta-analysis of MitraClip combined with medical therapy vs. medical therapy alone for treatment of mitral regurgitation in heart failure patients. ESC Heart Fail 5:1150–1158. pmid:30191666
  13. 13. Chiarito M, Pagnesi M, Martino EA, et al. (2018) Outcome after percutaneous edge-to-edge mitral repair for functional and degenerative mitral regurgitation: a systematic review and meta-analysis. Heart 104:306–312. pmid:28663365
  14. 14. De Rosa R, Silverio A, Baldi C, et al. (2018) Transcatheter Repair of Functional Mitral Regurgitation in Heart Failure Patients- A Meta-Analysis of 23 Studies on MitraClip Implantation. Circ J 82:2800–2810. pmid:30210070
  15. 15. D'Ascenzo F, Moretti C, Marra WG, et al. Meta-analysis of the usefulness of Mitraclip in patients with functional mitral regurgitation. Am J Cardiol 2015;116(2):325–31. pmid:25975726
  16. 16. Obadia J-F, Messika-Zeitoun D, Leurent G, et al. (2018) Percutaneous Repair or Medical Treatment for Secondary Mitral Regurgitation. N Engl J Med 379:2297–2306. pmid:30145927
  17. 17. Stone GW, Lindenfeld J, Abraham WT, et al. (2018) Transcatheter Mitral-Valve Repair in Patients with Heart Failure. N Engl J Med 379:2307–2318. pmid:30280640
  18. 18. Wada Y, Ohara T, Funada A, et al. (2016) Prognostic Impact of Functional Mitral Regurgitation in Patients Admitted With Acute Decompensated Heart Failure. Circ J 80:139–147. pmid:26558879