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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2025.1622875</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Chronic kidney disease and survival following indirect mitral annuloplasty for functional mitral regurgitation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Rottl&#x00E4;nder</surname><given-names>Dennis</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Golabkesh</surname><given-names>Milad</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Degen</surname><given-names>Hubertus</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Barlagiannis</surname><given-names>Dimitrios</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>&#x00D6;g&#x00FC;tc&#x00FC;</surname><given-names>Alev</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Saal</surname><given-names>Martin</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Haude</surname><given-names>Michael</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
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<aff id="aff1"><label>1</label><institution>Department of Cardiology, Faculty of Health, School of Medicine, University Witten/Herdecke</institution>, <city>Witten</city>, <country country="de">Germany</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Cardiology, Krankenhaus Porz am Rhein</institution>, <city>Cologne</city>, <country country="de">Germany</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Cardiology, Rheinland Klinikum Neuss</institution>, <city>Neuss</city>, <country country="de">Germany</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Michael Haude <email xlink:href="mailto:michael.haude@rheinlandklinikum.de">michael.haude@rheinlandklinikum.de</email></corresp>
<fn fn-type="equal" id="an1"><label>&#x2020;</label><p>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-02"><day>02</day><month>12</month><year>2025</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>12</volume><elocation-id>1622875</elocation-id>
<history>
<date date-type="received"><day>04</day><month>05</month><year>2025</year></date>
<date date-type="rev-recd"><day>14</day><month>11</month><year>2025</year></date>
<date date-type="accepted"><day>18</day><month>11</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Rottl&#x00E4;nder, Golabkesh, Degen, Barlagiannis, &#x00D6;g&#x00FC;tc&#x00FC;, Saal and Haude.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Rottl&#x00E4;nder, Golabkesh, Degen, Barlagiannis, &#x00D6;g&#x00FC;tc&#x00FC;, Saal and Haude</copyright-holder><license><ali:license_ref start_date="2025-12-02">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Chronic kidney disease is associated with poor prognosis following mitral valve edge-to-edge repair. We aimed to investigate the impact of chronic kidney disease (CKD) on survival in patients with functional mitral regurgitation (FMR) undergoing indirect mitral annuloplasty using the Carillon Mitral Contour System.</p>
</sec><sec><title>Methods</title>
<p>In a retrospective analysis, a total of 100 consecutive FMR patients were assigned according to baseline renal function into three groups: estimated Glomerular Filtration Rate (eGFR)&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>, eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> and eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>. At 3- and 12-months follow-up after indirect mitral annuloplasty survival, NYHA classification and transthoracic echocardiography were evaluated.</p>
</sec><sec><title>Results</title>
<p>30 patients revealed a baseline eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (30&#x0025;), 51 an eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (51&#x0025;) and 19 patients an eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (19&#x0025;). 1-year mortality was significantly higher in eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> and eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> compared to a preserved renal function of eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (Log Rank test <italic>P</italic> value: 0.036). FMR patients with postprocedural acute kidney injury (AKI), defined as an increase in serum creatinine levels &#x2265;0.3&#x2005;mg/dL within 48&#x2005;h or &#x2265;1.5 times baseline within 7 days post procedure, showed significantly increased mortality after indirect annuloplasty (Log Rank test <italic>P</italic> Value: 0.002). Carillon device implantation resulted in FMR reduction and improved NYHA classification at 3- and 12-months follow-up regardless of CKD.</p>
</sec><sec><title>Conclusion</title>
<p>CKD in patients undergoing indirect mitral annuloplasty seems to be a negative predictor of outcome in FMR patients. However, Carillon device implantation improved NYHA and FMR classification regardless of renal function.</p>
</sec>
</abstract>
<kwd-group>
<kwd>transcatheter mitral valve repair</kwd>
<kwd>functional mitral valve regurgitation</kwd>
<kwd>Carillon</kwd>
<kwd>acute kidney injury</kwd>
<kwd>chronic kidney disease</kwd>
</kwd-group><funding-group>
<funding-statement>The author(s) declare that no financial support was received for the research and/or publication of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/><equation-count count="0"/><ref-count count="25"/><page-count count="11"/><word-count count="218231"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Structural Interventional Cardiology</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Indirect mitral annuloplasty using the Carillon Mitral Contour System represents a treatment option for patients with functional mitral regurgitation (FMR) and heart failure. The Carillon Mitral Contour System is a CE-marked, percutaneous device approved for FMR treatment and is fully reimbursable in Germany. Besides reducing mitral regurgitant volume and promoting left ventricular (LV) remodeling, functional patient outcomes, such as improvements in NYHA class, have been observed (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Moreover, indirect mitral annuloplasty is associated with left atrial remodeling in FMR (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>In heart failure patients, chronic kidney disease (CKD) is known to be associated with reduced survival (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Transcatheter edge-to-edge repair (TEER) has been shown to improve clinical outcomes in heart failure patients with FMR with refractory symptoms despite guideline-directed medical therapy (GDMT) (<xref ref-type="bibr" rid="B8">8</xref>). CKD is associated with poorer outcomes in heart failure patients undergoing TEER for FMR (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Acute kidney injury (AKI) has been identified as an important predictor of survival following mitral TEER (<xref ref-type="bibr" rid="B11">11</xref>). Furthermore, improved renal function after mitral edge-to-edge repair is associated with a reduction in NYHA class and decreased hospitalization rate for heart failure (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>The effects of CKD in patients undergoing indirect mitral annuloplasty are unknown. This study aimed to evaluate the impact of CKD and AKI on outcome following Carillon device implantation in patients with FMR using a large-scale single center registry from Germany.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Materials and methods</title>
<sec id="s2a"><label>2.1</label><title>Patient cohort</title>
<p>The study was performed in compliance with the Helsinki declaration and according to good clinical practice. Individual written consent was provided by all enrolled patients. The ethical committee of the University of Witten-Herdecke (approval number: S-129/2024) approved the conduction of this study. We performed a retrospective single-center analysis of 100 consecutive patients diagnosed with FMR undergoing indirect mitral valve annuloplasty using the Carillon Mitral Contour System (Cardiac Dimensions, Kirkland, WA, USA) based on a local multidisciplinary heart team decision. All patients were on guideline-directed stable heart failure medication (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Exclusion criteria included patients with degenerative mitral regurgitation not suitable for Carillon implantation. Patients were divided into three groups according to CKD stages: group 1: eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (G1-2); group 2: eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (G3) and group 3: eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (G4-5). Of note, only one patient had a baseline eGFR&#x2009;&#x003E;&#x2009;90&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (G1); therefore, a separate group for these patients was not established. All patients reported symptomatic (&#x2265;NYHA II) heart failure with at least moderate functional mitral regurgitation (FMR&#x2009;&#x2265;&#x2009;2&#x002B;) (<xref ref-type="bibr" rid="B15">15</xref>). We further stratified our patient cohort into two subgroups based on postprocedural acute kidney injury (AKI). AKI was classified using the serum creatinine criteria of the 2012 KDIGO guideline (increase &#x2265;0.3&#x2005;mg/dL within 48&#x2005;h or &#x2265;1.5 times baseline within 7 days), as urine output measurements were not consistently available (<xref ref-type="bibr" rid="B16">16</xref>). All episodes of AKI were transient, with complete recovery of kidney function observed before hospital discharge.</p>
<p>Baseline characteristics as well as 3-month and 12-month clinical follow-ups were obtained for these cohorts. Additionally, transthoracic echocardiography (TTE) follow-ups were conducted to assess and quantify functional mitral regurgitation classification (<xref ref-type="bibr" rid="B17">17</xref>). No patients were lost to follow-up during the study. The median follow-up duration was 392 days as all patients had either in-person or structured telephone follow-up at 12 months. However, not all patients underwent TTE at follow-up. Some patients were assessed via structured telephone interviews to evaluate NYHA classification instead. NT-proBNP values were log-transformed using the natural logarithm (ln) prior to all statistical analyses to address non-normal distribution and satisfy model assumptions. <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref> shows the study flow diagram.</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>Study flow chart. CS, coronary sinus; FMR, functional mitral regurgitation; eGFR, estimated glomerular filtration rate.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1622875-g001.tif"><alt-text content-type="machine-generated">Kaplan-Meier survival curve illustrates one-year mortality based on estimated glomerular filtration rate (eGFR) categories. Green line represents eGFR greater than 60, yellow line for eGFR 30 to 59, and red line for eGFR less than 30 ml/min/1.73m&#x00B2;. The x-axis indicates days after procedure, and the y-axis shows survival probability. The log-rank test p-value is 0.036, indicating statistical significance. A table below displays numbers at risk for each eGFR category at various time points.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2b"><label>2.2</label><title>Carillon mitral contour system</title>
<p>Patients with symptomatic heart failure (&#x2265;NYHA II) and at least moderate FMR (FMR&#x2009;&#x2265;&#x2009;2&#x002B;) were eligible for percutaneous annuloplasty using the coronary sinus (CS) based Carillon Mitral Contour System) as previously reported (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Briefly, the Carillon device consists of two self-expanding nitinol anchors connected by a nitinol curvilinear segment. Deployment is achieved through a 10 French delivery catheter inserted via right transjugular access. Following unsheathing, the distal anchor is positioned and secured in the coronary sinus (CS). Subsequently, tension is applied to the device, inducing an anterior movement of the posterior part of the mitral annulus and the posterior mitral valve leaflet, thereby enhancing coaptation and reducing FMR. The procedure is completed by deploying the proximal anchor near the coronary sinus ostium to maintain the applied tension. To minimize the risk of coronary artery compression by the device, repeat coronary angiography is performed throughout the procedure. Continuous transesophageal echocardiography (TOE) is performed during the entire procedure to monitor and assess mitral valve regurgitation.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Echocardiography</title>
<p>Baseline and follow-up TTE measurements were performed using a Philips iE 33 or EPIQ echocardiography system (Philips, Amsterdam, Netherlands). The echocardiographic parameters for quantitative assessment of the mitral valve [Vena contracta, proximal isovelocity surface area (PISA), effective regurgitant orifice area (EROA), and regurgitant volume (RegVol)] were assessed. The severity of mitral regurgitation was assessed according to a standard classification system (<xref ref-type="bibr" rid="B17">17</xref>). Left ventricular ejection fraction (LVEF) was calculated using Simpsons method in 4- and 2-chamber view.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Renal function</title>
<p>All patients underwent renal laboratory assessments at baseline measuring serum creatinine, blood urea nitrogen (BUN), and estimated glomerular filtration rate (eGFR). The eGFR was calculated using the CKD-EPI formula (<xref ref-type="bibr" rid="B18">18</xref>). Classification of CKD stage was performed according to eGFR measurements in conjunction with patients&#x0027; medical records.</p>
</sec>
<sec id="s2e"><label>2.5</label><title>Statistical analysis</title>
<p>Statistical analysis was performed using SPSS Statistics 19 software (IBM, Chicago, USA). The Kolmogorov&#x2013;Smirnov test was applied to assess the normality of variable distributions. For normally distributed data, results are presented as mean&#x2009;&#x00B1;&#x2009;standard error of the mean (SEM). The Kruskal&#x2013;Wallis test was applied for discrete variables, while one-way ANOVA with Tukey <italic>post hoc</italic> tests was used to evaluate continuous variables across groups and subgroups. Ordinal data were analyzed using the Mann&#x2013;Whitney <italic>U</italic>-test. Kaplan&#x2013;Meier curves were generated to illustrate long-term survival, and statistical significance was assessed using the Log-Rank test. One-year event rates were calculated using the product-limit estimator, with statistical significance defined as a <italic>p</italic>-value &#x003C;0.05. Multivariable Cox regression analysis for 1-year mortality was conducted for all Carillon patients. All variables were selected based on a preceding univariate Cox regression analysis, with a <italic>p</italic>&#x2009;&#x003C;&#x2009;0.1 for inclusion in the multivariable model. To analyze changes in NYHA classification and FMR severity over time, linear mixed-effects modeling was performed. Fixed effects included timepoint (baseline, 3 months, and 12 months), CKD group (eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>, eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>, eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>), and the interaction between timepoint and CKD group (timepoint&#x2009;&#x00D7;&#x2009;renal function). An interaction analysis was conducted by including a product term between CKD group and AKI status in the Cox regression model to assess potential effect modification.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<p>From 100 consecutive FMR patients treated with indirect mitral annuloplasty, 30 patients (30&#x0025;) were classified in the CKD group 1 (eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>), 51 (51&#x0025;) in the CKD group 2 (eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>) and 19 patients (19&#x0025;) in the CKD group 3 (eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>; <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). Patients baseline characteristics including laboratory results and echocardiographic parameters are shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. The majority of the patients in all three groups were male (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). Cardiovascular risk factors including arterial hypertension, smoking status, coronary artery disease were similar across the groups. Patients of group 2 and 3 reported significantly higher rates of diabetes (group 1: 13.3&#x0025;, group 2: 25.5&#x0025;, group 3: 47.4&#x0025;; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.029) and previous heart surgery (group 1: 6.7&#x0025;, group 2: 31.4&#x0025;, group 3: 26.3&#x0025;; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.035).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Patients characteristics.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Parameters</th>
<th valign="top" align="center" colspan="2">eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>
<italic>n</italic>&#x2009;&#x003D;&#x2009;30</th>
<th valign="top" align="center" colspan="2">eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>
<italic>n</italic>&#x2009;&#x003D;&#x2009;51</th>
<th valign="top" align="center" colspan="2">eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>
<italic>n</italic>&#x2009;&#x003D;&#x2009;19</th>
<th valign="top" align="center" rowspan="2"><italic>P</italic>-Value</th>
</tr>
<tr>
<th valign="top" align="center">n</th>
<th valign="top" align="center">&#x0025; or Mean&#x2009;&#x00B1;&#x2009;SEM</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025; or Mean&#x2009;&#x00B1;&#x2009;SEM</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025; or Mean&#x2009;&#x00B1;&#x2009;SEM</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">79.2&#x2009;&#x00B1;&#x2009;1.8</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">79.7&#x2009;&#x00B1;&#x2009;1.1</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">82.0&#x2009;&#x00B1;&#x2009;2.2</td>
<td valign="top" align="center">0.550</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">70.0</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">60.8</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">73.7</td>
<td valign="top" align="center">0.522</td>
</tr>
<tr>
<td valign="top" align="left" colspan="8" style="background-color:#7e8080">Patients history</td>
</tr>
<tr>
<td valign="top" align="left">Arterial hypertension</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">90.0</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">96.1</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">89.5</td>
<td valign="top" align="center">0.476</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">13.3</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">25.5</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">47.4</td>
<td valign="top" align="center">0.029</td>
</tr>
<tr>
<td valign="top" align="left">Smoker</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">13.3</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">17.7</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.3</td>
<td valign="top" align="center">0.419</td>
</tr>
<tr>
<td valign="top" align="left">Coronary artery disease</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">53.3</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">66.7</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">79.0</td>
<td valign="top" align="center">0.179</td>
</tr>
<tr>
<td valign="top" align="left">Previous heart surgery</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">31.4</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">26.3</td>
<td valign="top" align="center">0.035</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">73.3</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">80.4</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">88.0</td>
<td valign="top" align="center">0.761</td>
</tr>
<tr>
<td valign="top" align="left" colspan="8" style="background-color:#7e8080">Transthoracic echocardiography</td>
</tr>
<tr>
<td valign="top" align="left">LVEF (&#x0025;)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">42.7&#x2009;&#x00B1;&#x2009;2.5</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">41.8&#x2009;&#x00B1;&#x2009;1.7</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">35.3&#x2009;&#x00B1;&#x2009;3.0</td>
<td valign="top" align="center">0.114</td>
</tr>
<tr>
<td valign="top" align="left">LVEDD (mm)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">53.6&#x2009;&#x00B1;&#x2009;1.3</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">55.0&#x2009;&#x00B1;&#x2009;1.1</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">55.3&#x2009;&#x00B1;&#x2009;1.8</td>
<td valign="top" align="center">0.657</td>
</tr>
<tr>
<td valign="top" align="left">Mitral annulus diameter (cm)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">4.2&#x2009;&#x00B1;&#x2009;0.1</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">4.3&#x2009;&#x00B1;&#x2009;0.1</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">4.4&#x2009;&#x00B1;&#x2009;0.1</td>
<td valign="top" align="center">0.613</td>
</tr>
<tr>
<td valign="top" align="left">PASP (mmHg)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">43.0&#x2009;&#x00B1;&#x2009;2.0</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">45.7&#x2009;&#x00B1;&#x2009;2.0</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">49.4&#x2009;&#x00B1;&#x2009;3.9</td>
<td valign="top" align="center">0.296</td>
</tr>
<tr>
<td valign="top" align="left">TAPSE (mm)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">19.8&#x2009;&#x00B1;&#x2009;0.9</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">17.4&#x2009;&#x00B1;&#x2009;0.7</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">15.5&#x2009;&#x00B1;&#x2009;1.0</td>
<td valign="top" align="center">0.009</td>
</tr>
<tr>
<td valign="top" align="left" colspan="8" style="background-color:#7e8080">Heart failure</td>
</tr>
<tr>
<td valign="top" align="left">NICM</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">26.7</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">31.4</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">26.0</td>
<td valign="top" align="center">0.282</td>
</tr>
<tr>
<td valign="top" align="left">ICM</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">33.3</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">33.3</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">53.0</td>
<td valign="top" align="center">0.296</td>
</tr>
<tr>
<td valign="top" align="left">HFpEF</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">40.0</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">35.3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">21.0</td>
<td valign="top" align="center">0.383</td>
</tr>
<tr>
<td valign="top" align="left">HFmrEF</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">26.7</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">27.4</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">15.8</td>
<td valign="top" align="center">0.590</td>
</tr>
<tr>
<td valign="top" align="left">HFrEF</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">33.3</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">37.3</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">63.2</td>
<td valign="top" align="center">0.089</td>
</tr>
<tr>
<td valign="top" align="left" colspan="8" style="background-color:#7e8080">FMR grading</td>
</tr>
<tr>
<td valign="top" align="left">aFMR</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">40.0</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">35.3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">21.0</td>
<td valign="top" align="center">0.383</td>
</tr>
<tr>
<td valign="top" align="left">vFMR</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">60.0</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">64.7</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">79.0</td>
<td valign="top" align="center">0.383</td>
</tr>
<tr>
<td valign="top" align="left">FMR 1&#x002B;</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">FMR 2&#x002B;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.314</td>
</tr>
<tr>
<td valign="top" align="left">FMR 3&#x002B;</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">56.7</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">31.4</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">31.6</td>
<td valign="top" align="center">0.216</td>
</tr>
<tr>
<td valign="top" align="left">FMR 4&#x002B;</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">40.0</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">68.6</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">68.4</td>
<td valign="top" align="center">0.120</td>
</tr>
<tr>
<td valign="top" align="left">Vena contracta (mm)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">5.5&#x2009;&#x00B1;&#x2009;0.2</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">6.2&#x2009;&#x00B1;&#x2009;0.2</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">6.2&#x2009;&#x00B1;&#x2009;0.3</td>
<td valign="top" align="center">0.024</td>
</tr>
<tr>
<td valign="top" align="left">EROA (cm<sup>2</sup>)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">0.2&#x2009;&#x00B1;&#x2009;0.02</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">0.3&#x2009;&#x00B1;&#x2009;0.01</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.3&#x2009;&#x00B1;&#x2009;0.02</td>
<td valign="top" align="center">0.117</td>
</tr>
<tr>
<td valign="top" align="left">PISA (mm)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">7.2&#x2009;&#x00B1;&#x2009;0.3</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">7.4&#x2009;&#x00B1;&#x2009;0.2</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">6.9&#x2009;&#x00B1;&#x2009;0.3</td>
<td valign="top" align="center">0.437</td>
</tr>
<tr>
<td valign="top" align="left">Regurgitant volume (mL)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">31.2&#x2009;&#x00B1;&#x2009;2.1</td>
<td valign="top" align="center">451</td>
<td valign="top" align="center">37.1&#x2009;&#x00B1;&#x2009;2.4</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">38.7&#x2009;&#x00B1;&#x2009;4.0</td>
<td valign="top" align="center">0.182</td>
</tr>
<tr>
<td valign="top" align="left" colspan="8" style="background-color:#7e8080">Dyspnea</td>
</tr>
<tr>
<td valign="top" align="left">NYHA II</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">10.0</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">7.8</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.3</td>
<td valign="top" align="center">0.840</td>
</tr>
<tr>
<td valign="top" align="left">NYHA III</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">66.7</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">68.6</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">63.1</td>
<td valign="top" align="center">0.912</td>
</tr>
<tr>
<td valign="top" align="left">NYHA IV</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">23.3</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">23.6</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">31.6</td>
<td valign="top" align="center">0.768</td>
</tr>
<tr>
<td valign="top" align="left" colspan="8" style="background-color:#7e8080">Laboratory results</td>
</tr>
<tr>
<td valign="top" align="left">ln NT-proBNP</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">8.2&#x2009;&#x00B1;&#x2009;0.9</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">8.3&#x2009;&#x00B1;&#x2009;0.7</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">8.9&#x2009;&#x00B1;&#x2009;0.7</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">Serum creatinine (mg/dL)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">1.0&#x2009;&#x00B1;&#x2009;0.1</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">1.4&#x2009;&#x00B1;&#x2009;0.1</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">2.5&#x2009;&#x00B1;&#x2009;0.2</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">eGFR (mL/min/1.73&#x2005;m<sup>2</sup>)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">73.5&#x2009;&#x00B1;&#x2009;1.9</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">46.7&#x00B1; 1.2</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">23.9&#x2009;&#x00B1;&#x2009;1.1</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Baseline dialysis</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.3</td>
<td valign="top" align="center">0.118</td>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin (g/dL)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">12.7&#x2009;&#x00B1;&#x2009;0.4</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">12.9&#x2009;&#x00B1;&#x2009;0.2</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">11.9&#x2009;&#x00B1;&#x2009;0.6</td>
<td valign="top" align="center">0.168</td>
</tr>
<tr>
<td valign="top" align="left" colspan="8" style="background-color:#7e8080">Baseline medication</td>
</tr>
<tr>
<td valign="top" align="left">Beta blocker</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">93.3</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">96.1</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">100.0</td>
<td valign="top" align="center">0.518</td>
</tr>
<tr>
<td valign="top" align="left">ACEI or ARB or ARNI</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">86.7</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">92.2</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">84.2</td>
<td valign="top" align="center">0.576</td>
</tr>
<tr>
<td valign="top" align="left">MRA</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">46.7</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">42.2</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">31.6</td>
<td valign="top" align="center">0.586</td>
</tr>
<tr>
<td valign="top" align="left">Diuretic</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">96.7</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">96.1</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">100.0</td>
<td valign="top" align="center">0.695</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><p>SEM, standard error of the mean; EF, ejection fraction; LV, left ventricle; LVEF, left ventricular ejection fraction; LVEDD, left ventricular enddiastolic diameter; PASP, systolic pulmonary artery pressure; TAPSE, tricuspid annular plane systolic excursion; NICM, non-ischemic cardiomyopathy; ICM, ischemic cardiomyopathy; HFpEF, heart failure with preserved ejection fraction; HFmrEF, heart failure with mildly reduced ejection fraction; HFrEF, heart failure with reduced ejection fraction; FMR, functional mitral regurgitation; aFMR, atrial functional mitral regurgitation; vFMR, ventricular functional mitral regurgitation; EROA, effective regurgitant orifice area; PISA, proximal isovelocity surface Area; NT-proBNP, N-terminal pro-B-type natriuretic peptide; ln, natural logarithm; NYHA, New York Heart Association; eGFR, estimated glomerular filtration rate; ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; ARNI, angiotensin receptor neprilysin inhibitor; MRA, mineralocorticoid receptor antagonist.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In our cohort, atrial FMR was present in 34&#x0025; of patients and ventricular FMR was present in 66&#x0025; of patients. Atrial FMR was observed in 40&#x0025; of patients with eGFR&#x2009;&#x2265;&#x2009;60&#x2005;mL/min, 35.3&#x0025; with eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>, and 21&#x0025; with eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>, whereas ventricular FMR was present in 60&#x0025;, 64.7&#x0025;, and 79&#x0025; of patients in the respective groups.</p>
<p>There was no difference in baseline LVEF, left ventricular enddiastolic diameter (LVEDD) and pulmonary artery systolic pressure (PASP), as measured by baseline TTE, while tricuspid annular plane systolic excursion (TAPSE) was significantly lower in group 2 and 3 (group 1: 19.8&#x2009;&#x00B1;&#x2009;0.9&#x2005;mm, group 2: 17.4&#x2009;&#x00B1;&#x2009;0.7&#x2005;mm, group 3: 15.5&#x2009;&#x00B1;&#x2009;1.0&#x2005;mm; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.009; <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<p>Baseline assessment of mitral regurgitation using transthoracic echocardiography (TTE) showed no differences in FMR classification among the groups (see <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). Also, NYHA classification was consistent across the groups (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<p>NT-proBNP was significantly higher in group 3 at baseline (natural logarithm of NT-proBNP: group 1: 8.2&#x2009;&#x00B1;&#x2009;0.9, group 2: 8.3&#x2009;&#x00B1;&#x2009;0.7, group 3: 8.9&#x2009;&#x00B1;&#x2009;0.7; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.008). Renal baseline parameters are displayed in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>.</p>
<p>The rate of procedural complications associated with Carillon device implantation remained low. One minor bleeding incident and a single case of coronary sinus perforation occurred, which was successfully managed with balloon occlusion of the coronary sinus. No procedures were discontinued due to unsuccessful implantation.</p>
<p>At 30 days, mortality was 0&#x0025; in the eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> group (0/30), 2&#x0025; in the eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> group (1/51), and 0&#x0025; in the eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> group (0/19). The Kaplan&#x2013;Meier survival curves illustrate long-term survival stratified by the three eGFR groups (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). One-year mortality was highest in group 3, followed by group 2, and was lowest in group 3 (log-rank test, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.036). At 12-months follow-up, one death was reported in group 1, five deaths in group 2, and five deaths in group 3 (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>).</p>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>1-year survival following indirect mitral annuloplasty in functional mitral regurgitation according to baseline renal function. Kaplan&#x2013;Meier curve for 1-year mortality in patients with eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>, eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> or eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>. eGFR, estimated glomerular filtration rate. Log rank test was applied to detect statistical differences between the groups (eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>, eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> and eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1622875-g002.tif"><alt-text content-type="machine-generated">Flowchart showing 100 patients with functional mitral regurgitation and indirect coronary sinus-based annuloplasty. At baseline, patients are categorized by estimated glomerular filtration rate (eGFR): over 60 (30 patients), 30-59 (51 patients), under 30 (19 patients). By discharge, numbers remain the same. At three months, changes include one death in the highest eGFR group, three deaths in the middle, and three in the lowest category. At twelve months, no change in the highest eGFR group, while the middle group loses two more, and the lowest loses two more.</alt-text>
</graphic>
</fig>
<p>In our cohort, AKI occurred in 10&#x0025; of patients (10/100). Baseline characteristics are displayed in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. In patients with AKI, baseline serum creatinine levels were significantly higher, eGFR was significantly lower, and coronary artery disease was more frequently observed compared to the no-AKI group (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). One-year survival was significantly lower in patients who developed postprocedural AKI (AKI: 4 deaths vs. no AKI: 7 deaths; log-rank test, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.002; <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>). 30-day mortality was 0&#x0025; (0/10) in the AKI group and 1.1&#x0025; (1/90) in the no AKI group. No patient required dialysis due to AKI, and only one patient was on chronic dialysis at baseline.</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Patients characteristics of the AKI and no AKI group.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Parameters</th>
<th valign="top" align="center" colspan="2">No AKI
<italic>n</italic>&#x2009;&#x003D;&#x2009;90</th>
<th valign="top" align="center" colspan="2">AKI
<italic>n</italic>&#x2009;&#x003D;&#x2009;10</th>
<th valign="top" align="center" rowspan="2"><italic>P</italic>-Value</th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025; or Mean&#x2009;&#x00B1;&#x2009;SEM</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025; or Mean&#x2009;&#x00B1;&#x2009;SEM</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">80.3&#x2009;&#x00B1;&#x2009;0.9</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">83.1&#x2009;&#x00B1;&#x2009;2.8</td>
<td valign="top" align="center">0.367</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">65.5</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">70.0</td>
<td valign="top" align="center">0.778</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#7e8080">Patients history</td>
</tr>
<tr>
<td valign="top" align="left">Arterial hypertension</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">93.3</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">90.0</td>
<td valign="top" align="center">0.695</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">25.6</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">30.0</td>
<td valign="top" align="center">0.761</td>
</tr>
<tr>
<td valign="top" align="left">Smoker</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">15.6</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.179</td>
</tr>
<tr>
<td valign="top" align="left">Coronary artery disease</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">61.1</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">100.0</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">Previous heart surgery</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">21.1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">40.0</td>
<td valign="top" align="center">0.178</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">80.0</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">60.0</td>
<td valign="top" align="center">0.148</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#7e8080">Transthoracic echocardiography</td>
</tr>
<tr>
<td valign="top" align="left">LVEF (&#x0025;)</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">40.5&#x2009;&#x00B1;&#x2009;1.4</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">42.3&#x2009;&#x00B1;&#x2009;4.2</td>
<td valign="top" align="center">0.681</td>
</tr>
<tr>
<td valign="top" align="left">LVEDD (mm)</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">54.8&#x2009;&#x00B1;&#x2009;0.8</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">52.9&#x2009;&#x00B1;&#x2009;2.4</td>
<td valign="top" align="center">0.454</td>
</tr>
<tr>
<td valign="top" align="left">PASP (mmHg)</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">45.9&#x2009;&#x00B1;&#x2009;1.5</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">42.3&#x2009;&#x00B1;&#x2009;3.6</td>
<td valign="top" align="center">0.439</td>
</tr>
<tr>
<td valign="top" align="left">TAPSE (mm)</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">17.8&#x2009;&#x00B1;&#x2009;0.5</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">17.1&#x2009;&#x00B1;&#x2009;0.9</td>
<td valign="top" align="center">0.647</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#7e8080">FMR Grading</td>
</tr>
<tr>
<td valign="top" align="left">FMR 1&#x002B;</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">FMR 2&#x002B;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.738</td>
</tr>
<tr>
<td valign="top" align="left">FMR 3&#x002B;</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">38.9</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">20.0</td>
<td valign="top" align="center">0.216</td>
</tr>
<tr>
<td valign="top" align="left">FMR 4&#x002B;</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">60.0</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">80.0</td>
<td valign="top" align="center">0.194</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#7e8080">Dyspnea</td>
</tr>
<tr>
<td valign="top" align="left">NYHA II</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">7.8</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">10.0</td>
<td valign="top" align="center">0.806</td>
</tr>
<tr>
<td valign="top" align="left">NYHA III</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">65.6</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">80.0</td>
<td valign="top" align="center">0.357</td>
</tr>
<tr>
<td valign="top" align="left">NYHA IV</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">26.7</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">10.0</td>
<td valign="top" align="center">0.248</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#7e8080">Laboratory results</td>
</tr>
<tr>
<td valign="top" align="left">Serum creatinine (mg/dL)</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">1.4&#x2009;&#x00B1;&#x2009;0.1</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">1.9&#x2009;&#x00B1;&#x2009;0.2</td>
<td valign="top" align="center">0.020</td>
</tr>
<tr>
<td valign="top" align="left">eGFR (mL/min/1.73&#x2005;m<sup>2</sup>)</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">55.3&#x2009;&#x00B1;&#x2009;2.2</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">33.2&#x00B1; 5.8</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Baseline dialysis</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.738</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#7e8080">Baseline medication</td>
</tr>
<tr>
<td valign="top" align="left">Beta blocker</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">95.6</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">100.0</td>
<td valign="top" align="center">0.496</td>
</tr>
<tr>
<td valign="top" align="left">ACEI or ARB or ARNI</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">88.9</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">90.0</td>
<td valign="top" align="center">0.579</td>
</tr>
<tr>
<td valign="top" align="left">MRA</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">41.1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">40.0</td>
<td valign="top" align="center">0.946</td>
</tr>
<tr>
<td valign="top" align="left">Diuretic</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">96.7</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">100.0</td>
<td valign="top" align="center">0.558</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF2"><p>SEM, standard error of the mean; EF, ejection fraction; LV, left ventricle; LVEF, left ventricular ejection fraction; LVEDD, left ventricular enddiastolic diameter; PASP, systolic pulmonary artery pressure; TAPSE, tricuspid annular plane systolic excursion; NYHA, New York Heart Association; eGFR, estimated glomerular filtration rate; ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; ARNI, angiotensin receptor neprilysin inhibitor; MRA, mineralocorticoid receptor antagonist.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>1-year survival following indirect mitral annuloplasty in functional mitral regurgitation according to postprocedural acute kidney injury. Kaplan&#x2013;Meier curve for 1-year mortality in patients with or without acute kidney injury (AKI). Log rank test was applied to detect statistical differences between the groups (AKI and no AKI).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1622875-g003.tif"><alt-text content-type="machine-generated">Kaplan-Meier survival curve showing 1-year mortality after a procedure, comparing patients with acute kidney injury (AKI) and without (no AKI). The green line represents no AKI with higher survival probability, while the orange line represents AKI with lower survival. Log rank test p-value is 0.002, indicating significant difference. Survival probability is on the y-axis, days after procedure on the x-axis. Below, a table shows the number of patients at risk at various time points for each group.</alt-text>
</graphic>
</fig>
<p>At baseline, TTE was available for all of patients (<italic>n</italic>&#x2009;&#x003D;&#x2009;100). At 3-month follow-up, TTE was performed in 29/30 (97&#x0025;) patients with eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (1 death), 48/51 (94&#x0025;) with eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (3 deaths), and 16/19 (84&#x0025;) with eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (3 deaths). At 12 months, TTE was available in 25/30 (83&#x0025;) patients with eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (4 missing), 44/51 (86&#x0025;) with eGFR 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (2 deaths, 2 missing), and 13/19 (68&#x0025;) with eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup> (2 deaths, 1 missing).</p>
<p>FMR and NYHA classification following indirect mitral annuloplasty were improved at 3- and 12-months follow-up compared to baseline in all groups (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>). Also, a linear mixed-effects model was applied to account for within-subject correlations. Fixed effects included timepoint, CKD groups (eGFR&#x2009;&#x003E;&#x2009;60&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>, 30&#x2013;59&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>, &#x003C;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>), and their interaction. The analysis revealed a significant main effect of timepoint for NYHA (F[2,89.8]&#x2009;&#x003D;&#x2009;103.8, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and FMR severity (F[2,83.5]&#x2009;&#x003D;&#x2009;93.9, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), indicating significant improvement over time in all groups. No significant main effects of renal function groups were observed for NYHA (F[2,92.0]&#x2009;&#x003D;&#x2009;1.29, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.280) or FMR severity (F[2,90.6]&#x2009;&#x003D;&#x2009;1.31, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.276). Additionally, no significant interaction effects between timepoint and renal function groups were found for NYHA (F[4,88.9]&#x2009;&#x003D;&#x2009;0.51, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.731) or FMR severity (F[4,83.7]&#x2009;&#x003D;&#x2009;0.49, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.741), indicating that the trajectories of improvement did not differ significantly between CKD groups. These results confirm that improvements in clinical status and mitral regurgitation severity over 12 months were consistent regardless of baseline renal function.</p>
<fig id="F4" position="float"><label>Figure&#x00A0;4</label>
<caption><p>Clinical and echocardiographic assessment following indirect mitral annuloplasty in functional mitral regurgitation according to baseline renal function. Functional mitral regurgitation (FMR) class <bold>(A)</bold> and New York Heart Association (NYHA) classification <bold>(B)</bold> at baseline, 3-Months Follow-Up (3Mo-FU) and 12-Months Follow-Up (12Mo-FU). eGFR, estimated glomerular filtration rate.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1622875-g004.tif"><alt-text content-type="machine-generated">Bar charts labeled A and B display percentages of eGFR categories over time. Chart A uses colors for FMR1+ to FMR4+, while chart B uses colors for NYHA I to NYHA IV. Both charts show changes at Baseline, 3 months follow-up, and 12 months follow-up for eGFR groups: above 60, 30-59, and below 30 ml/min/1.73m&#x00B2;.</alt-text>
</graphic>
</fig>
<p>An interaction analysis was conducted to assess potential effect modification between AKI and the CKD groups. The interaction term between baseline renal function groups and AKI status on 1-year mortality was not statistically significant (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.081), indicating no clear evidence for effect modification between the groups.</p>
<p>Following a multivariate analysis of baseline parameters, only baseline eGFR and vena contracta were independent predictors of 1-year mortality, whereas age, gender, diabetes, previous heart surgery, natural logarithm of NT-proBNP (ln NT-proBNP) and TAPSE failed to predict survival (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>). The univariate Cox regression analysis is displayed in <xref ref-type="sec" rid="s13">Supplementary Table S1</xref>.</p>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>Multivariate baseline predictors of 1-year mortality (Cox regression analysis).</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Baseline parameters</th>
<th valign="top" align="center">Adjusted Hazard ratio (95&#x0025; confidence interval)</th>
<th valign="top" align="center"><italic>p</italic>-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">0.94 (0.86&#x2013;1.04)</td>
<td valign="top" align="center">0.231</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center">0.48 (0.10&#x2013;2.48)</td>
<td valign="top" align="center">0.383</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">0.72 (1.78&#x2013;2.91)</td>
<td valign="top" align="center">0.645</td>
</tr>
<tr>
<td valign="top" align="left">Previous heart surgery</td>
<td valign="top" align="center">3.17 (0.69&#x2013;14.66)</td>
<td valign="top" align="center">0.139</td>
</tr>
<tr>
<td valign="top" align="left">eGFR (mL/min/1.73&#x2005;m<sup>2</sup>)</td>
<td valign="top" align="center">0.94 (0.90&#x2013;0.98)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Vena contracta</td>
<td valign="top" align="center">1.70 (1.02&#x2013;3.10)</td>
<td valign="top" align="center">0.044</td>
</tr>
<tr>
<td valign="top" align="left">TAPSE</td>
<td valign="top" align="center">1.01 (0.88&#x2013;1.17)</td>
<td valign="top" align="center">0.864</td>
</tr>
<tr>
<td valign="top" align="left">Ln (NT-pro BNP)</td>
<td valign="top" align="center">0.99 (0.34&#x2013;2.88)</td>
<td valign="top" align="center">0.989</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3"><p>eGFR, estimated glomerular filtration rate; TAPSE, tricuspid annular plane systolic excursion; Ln, natural logarithm.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>Indirect mitral valve annuloplasty using the Carillon Mitral Contour System has demonstrated efficacy in the treatment of FMR across multiple studies. The procedure is known for its favorable safety profile, with a low incidence of adverse events (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Our study verified a low rate of procedural complications, with no procedural deaths observed among a cohort of 100 patients.</p>
<p>Chronic kidney disease (CKD) is associated with a poor prognosis following mitral valve edge-to-edge repair (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). In the setting of heart failure, kidney dysfunction is a recognized comorbidity, being considered a component of cardiorenal syndrome and is linked to decreased survival. Its impact on mortality may arise from venous congestion, forward heart failure, activation of the renin-angiotensin-aldosterone system (RAAS), and sympathetic stimulation associated with heart failure (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). To date, no clinical trial has investigated the impact of CKD in patients undergoing indirect mitral annuloplasty. Our study revealed the negative impact of CKD on survival following Carillon device implantation. Among the three eGFR groups, the cohort with CKD stage 4&#x2013;5, defined as eGFR&#x2009;&#x003C;&#x2009;30&#x2005;mL/min/1.73&#x2005;m<sup>2</sup>, exhibited the poorest prognosis. This relationship remained consistent even after stratifying patients based on the occurrence of postprocedural AKI, with those experiencing AKI demonstrating the highest mortality rates. This finding is consistent with recent studies of FMR patients treated with mitral transcatheter edge-to-edge repair (TEER) (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>In our cohort, patients who developed postprocedural AKI had higher baseline serum creatinine, lower eGFR, and a greater prevalence of coronary artery disease compared to those without AKI. Several mechanisms may contribute to the occurrence of AKI in this context. Pre-existing chronic kidney disease likely predisposes patients to impaired renal perfusion and increased vulnerability to hemodynamic changes during the procedure. In addition, periprocedural factors such as transient hypotension, venous congestion, or contrast medium exposure are well-known contributors to AKI, although these were not specifically assessed in our study. Finally, the higher burden of coronary artery disease observed in the AKI group may reflect a more advanced systemic atherosclerotic profile, which could further promote renal hypoperfusion and microvascular dysfunction.</p>
<p>The impact of indirect mitral annuloplasty in patients on chronic dialysis could not be assessed, as only one patient receiving dialysis at baseline was included. However, it may be hypothesized that outcomes in this population could be even less favorable compared to patients with CKD in the absence of dialysis. Further studies are needed to clarify this issue.</p>
<p>Numerous clinical trials have documented significant reductions in echocardiographic FMR parameters and favorable clinical outcomes, including improvements in echocardiographic measures such as EROA, PISA, regurgitant volume, and vena contracta in FMR patients undergoing indirect annuloplasty. Additionally, studies reported reductions in mitral annular dimensions and enhancement in NYHA functional class as well as the 6-Minute Walk Test performance (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Our findings further confirm these results, showing a reduction in quantitative MR parameters and NYHA class 12 months post-procedure following indirect mitral annuloplasty regardless of baseline renal function.</p>
<p>Consequently, while CKD stage 4&#x2013;5 is associated with a worse prognosis, indirect annuloplasty improves quantitative MR parameters and subsequent MR-related symptoms. This finding might be explained by a reduction in left atrial pressure leading to cardiac decongestion.</p>
<p>Previous heart surgery and diabetes were associated with CKD, as patients with CKD typically present with a greater burden of comorbidities, including diabetes and advanced heart failure requiring cardiac surgery. Furthermore, reduced right ventricular function, indicated by decreased TAPSE, was more frequently observed in patients with CKD stage 4&#x2013;5. However, pulmonary systolic artery pressure was similar in the three groups.</p>
<p>At baseline, NT-proBNP levels were significantly higher in group 3, as CKD is linked to more advanced heart failure and greater cardiac decongestion compared to a population of preserved renal function. A multivariate analysis confirmed baseline serum creatinine and eGFR as independent predictors of survival in our cohort. However, age, gender, diabetes, previous heart surgery, NT-proBNP and TAPSE were no predictors of mortality. These results underscore the importance of renal function regarding long-term survival in heart failure patients with FMR. Therefore, early optimal guideline directed medical therapy together with interventional FMR treatment might be needed for better preservation of renal function. Prevention of CKD is key in heart failure and early interventional strategies should be considered in local heart teams, while discussing patients with chronic kidney disease.</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>In summary, our study provides for the first time evidence that CKD as well as the presence of postprocedural acute kidney injury serve as significant predictors of impaired long-term survival in patients undergoing indirect mitral annuloplasty. However, indirect mitral annuloplasty enhances MR parameters and clinical symptoms over a 12-month follow-up period, even in the presence of impaired renal function. Consequently, Carillon device implantation seems to be a viable option for transcatheter treatment in FMR patients with or without CKD.</p>
</sec>
<sec id="s6"><label>6</label><title>Limitations</title>
<p>Given the retrospective, single-center design and associated statistical limitations, the results of this study should be considered hypothesis-generating and warrant confirmation by prospective, randomized, multi-center trials. Furthermore, the relatively small cohort size (<italic>n</italic>&#x2009;&#x003D;&#x2009;100) limits the generalizability of the results and carries the risk of selection bias. Nevertheless, for indirect mitral annuloplasty using the Carillon device, our cohort represents one of the largest real-world series reported to date. Previous pivotal trials investigating the Carillon system (TITAN, <italic>n</italic>&#x2009;&#x003D;&#x2009;53; TITAN II, <italic>n</italic>&#x2009;&#x003D;&#x2009;36; and REDUCE FMR, <italic>n</italic>&#x2009;&#x003D;&#x2009;120) included comparable or smaller patient numbers. Moreover, patients with CKD in our study more frequently presented with comorbidities. Although we attempted to adjust for these imbalances using multivariate Cox regression analyses, residual confounding cannot be entirely excluded due to the observational nature of the study design. Improvements in NYHA classification and severity of FMR were observed irrespective of CKD. However, the lack of a control group in this retrospective study limits causal conclusions regarding the effect of the Carillon device. Changes in concurrent medical management or natural disease progression may also have contributed to the observed improvements. Therefore, these findings should be interpreted as associations rather than definitive proof of treatment effect. As this was a retrospective study, no chronicity criteria (e.g., &#x2265;3 months of persistently reduced eGFR or albuminuria data) were directly available. During follow-up, renal parameters were not routinely assessed; therefore, changes in renal function potentially induced by successful Carillon device implantation could not be evaluated. Consequently, we were unable to investigate the trajectory of renal function after Carillon implantation, which limits conclusions about the potential impact of the procedure on subsequent renal function over time. While our data provide valuable hypothesis-generating insights, confirmation in larger, prospective, multicenter studies will be essential before these findings can be extrapolated to broader clinical practice.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s8" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Ethical committee of the University of Witten-Herdecke. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s9" sec-type="author-contributions"><title>Author contributions</title>
<p>DR: Methodology, Conceptualization, Validation, Project administration, Data curation, Investigation, Supervision, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Formal analysis. MG: Writing &#x2013; original draft, Supervision, Investigation, Writing &#x2013; review &#x0026; editing, Formal analysis, Methodology, Project administration, Data curation, Validation, Conceptualization. HD: Supervision, Project administration, Writing &#x2013; review &#x0026; editing, Investigation, Data curation. DB: Writing &#x2013; review &#x0026; editing, Data curation, Investigation. A&#x00D6;: Investigation, Writing &#x2013; review &#x0026; editing, Methodology, Data curation. MS: Data curation, Writing &#x2013; review &#x0026; editing, Conceptualization, Methodology, Investigation. MH: Supervision, Formal analysis, Project administration, Methodology, Writing &#x2013; review &#x0026; editing, Validation, Investigation, Writing &#x2013; original draft, Conceptualization, Data curation.</p>
</sec>
<sec id="s11" sec-type="COI-statement"><title>Conflict of interest</title>
<p>DR received educational grants from Abbott. MG received receipt of Honoria from Shockwave Medical. HD is a consultant for Biotronik and Cardiac Dimensions. M H is a consultant for Biotronik, Orbus Neich, Robocath, Shockwave Medical and Cardiac Dimensions. He received institutional grants and lecture fees from Biotronik, Cardiac Dimensions, Orbus Neich, SMT and Philips.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s14" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2025.1622875/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2025.1622875/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1329200/overview">Atsushi Sugiura</ext-link>, University Hospital Bonn, Germany</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1967352/overview">Marcel Weber</ext-link>, University Hospital Bonn, Germany</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3051413/overview">Suramath Isaranuwatchai</ext-link>, King Mongkut&#x2019;s Institute of Technology Ladkrabang, Thailand</p></fn>
</fn-group>
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</article>