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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.2026.1776823</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>Effects of sacubitril/valsartan on ventricular remodeling in patients with hypertension and maintenance hemodialysis: a retrospective cohort study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Jiang</surname><given-names>Lili</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Min</surname><given-names>Xu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Ran</surname><given-names>Jing</given-names></name>
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<contrib contrib-type="author"><name><surname>Zhu</surname><given-names>Yu</given-names></name>
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<contrib contrib-type="author"><name><surname>Pan</surname><given-names>Luping</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author"><name><surname>Yang</surname><given-names>Bayi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author"><name><surname>Ran</surname><given-names>Xue</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author"><name><surname>Ran</surname><given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author"><name><surname>Ding</surname><given-names>Hejun</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Yang</surname><given-names>Jurong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1493685/overview"/><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Wu</surname><given-names>Shaofa</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2880339/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
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<aff id="aff1"><label>1</label><institution>Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University</institution>, <city>Chongqing</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Nephrology, Youyang Hospital, a Branch of The First Affiliated Hospital of Chongqing Medical University</institution>, <city>Chongqing</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Ultrasonography, Youyang Hospital, a Branch of The First Affiliated Hospital of Chongqing Medical University</institution>, <city>Chongqing</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Jurong Yang <email xlink:href="mailto:650230@hospital.cqmu.edu.cn">650230@hospital.cqmu.edu.cn</email> Shaofa Wu <email xlink:href="mailto:shaofawu@126.com">shaofawu@126.com</email></corresp>
<fn fn-type="equal" id="an1"><label>&#x2020;</label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-03"><day>03</day><month>03</month><year>2026</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2026</year></pub-date>
<volume>13</volume><elocation-id>1776823</elocation-id>
<history>
<date date-type="received"><day>28</day><month>12</month><year>2025</year></date>
<date date-type="rev-recd"><day>06</day><month>02</month><year>2026</year></date>
<date date-type="accepted"><day>11</day><month>02</month><year>2026</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 Jiang, Min, Ran, Zhu, Pan, Yang, Ran, Ran, Ding, Yang and Wu.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>Jiang, Min, Ran, Zhu, Pan, Yang, Ran, Ran, Ding, Yang and Wu</copyright-holder><license><ali:license_ref start_date="2026-03-03">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>Left ventricular hypertrophy (LVH), a hallmark of pathological ventricular remodeling, is highly prevalent and strongly predicts mortality in patients undergoing maintenance hemodialysis (MHD). This study aimed to compare the efficacy of sacubitril/valsartan (SV) vs. angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEi/ARB) on ventricular remodeling in hypertensive MHD patients.</p>
</sec><sec><title>Methods</title>
<p>In this single-center retrospective cohort study conducted between January 2023 and June 2025, 111 hypertensive patients undergoing MHD for at least 3 months were divided into SV (<italic>n</italic>&#x2009;&#x003D;&#x2009;46) and ACEi/ARB (<italic>n</italic>&#x2009;&#x003D;&#x2009;65) groups based on their antihypertensive regimen. The primary endpoint was the change in left ventricular mass index (LVMI) after 6 months. Secondary endpoints included changes in blood pressure, other echocardiographic parameters, NT-proBNP, and safety outcomes.</p>
</sec><sec><title>Results</title>
<p>The mean age was 56.17&#x2009;&#x00B1;&#x2009;13.47 years and 68.5&#x0025; were male. After 6 months, LVMI significantly decreased in the SV group (&#x2212;5.52&#x2005;g/m<sup>2</sup>, 95&#x0025; CI &#x2212;9.35 to &#x2212;1.69, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.006) but not in the ACEi/ARB group (1.11&#x2005;g/m<sup>2</sup>, 95&#x0025; CI &#x2212;3.27 to 5.50, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.615). Two-way repeated measures ANOVA revealed a significant group&#x2009;&#x00D7;&#x2009;time interaction for LVMI (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.033). Both groups achieved significant blood pressure reductions: systolic blood pressure decreased by 9.81 mmHg (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) in the ACEi/ARB group and by 10.46&#x2005;mmHg (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) in the SV group. New-onset intradialytic hypotension occurred in 7 (6.3&#x0025;) patients and hyperkalemia in 9 (8.1&#x0025;) patients, with similar incidences between groups and no treatment discontinuations.</p>
</sec><sec><title>Conclusions</title>
<p>Compared to ACEi/ARB, SV is more effective in reversing ventricular remodeling in hypertensive MHD patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hypertension</kwd>
<kwd>left ventricular hypertrophy</kwd>
<kwd>maintenance hemodialysis</kwd>
<kwd>sacubitril/valsartan</kwd>
<kwd>ventricular remodeling</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement></funding-group><counts>
<fig-count count="2"/>
<table-count count="6"/><equation-count count="1"/><ref-count count="32"/><page-count count="10"/><word-count count="0"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Hypertension</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>End-stage renal disease (ESRD) is a global health burden, with maintenance hemodialysis (MHD) serving as the primary modality of renal replacement therapy (<xref ref-type="bibr" rid="B1">1</xref>). Despite advances in dialysis technology, the prognosis for MHD patients remains poor, with cardiovascular disease (CVD) accounting for approximately 50&#x0025; of all deaths (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Among the spectrum of cardiovascular pathologies, ventricular remodeling is highly prevalent in dialysis patients (<xref ref-type="bibr" rid="B4">4</xref>). It serves as a core pathophysiological link and an independent predictor of heart failure, malignant arrhythmias, and sudden cardiac death (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>The prevalence of hypertension in patients with MHD exceeds 80&#x0025; and is a major driver of ventricular remodeling (<xref ref-type="bibr" rid="B9">9</xref>). The pathophysiological mechanisms are complex and distinct from the general population, involving volume overload, chronic activation of the renin-angiotensin-aldosterone system (RAAS), sympathetic nervous system hyperactivity, endothelial dysfunction, and the accumulation of uremic toxins (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Collectively, these factors contribute to cardiomyocyte hypertrophy and interstitial fibrosis. Although current guidelines emphasize stringent blood pressure (BP) control through the use of RAAS inhibitors, such as angiotensin-converting enzyme inhibitors (ACEi) and angiotensin receptor blockers (ARB), significant clinical challenges remain (<xref ref-type="bibr" rid="B12">12</xref>). First, the efficacy of these treatments is often compromised, as &#x2018;uremic cardiomyopathy&#x2019; may resist standard RAAS blockade through non-hemodynamic fibrotic pathways (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Second, safety concerns, particularly regarding the risks of hyperkalemia and the potential loss of residual renal function, frequently lead to cautious or suboptimal dosing (<xref ref-type="bibr" rid="B15">15</xref>). Furthermore, hemodynamic fluctuations during dialysis can exacerbate ventricular remodeling (<xref ref-type="bibr" rid="B16">16</xref>). Therefore, there is an urgent need for therapeutic strategies that effectively target these pathological pathways while ensuring a superior safety profile.</p>
<p>Sacubitril/valsartan (SV) is a first-in-class angiotensin receptor neprilysin inhibitor (ARNI) composed of the neprilysin inhibitor sacubitril and the angiotensin II receptor blocker valsartan in a 1:1 molar ratio. It exerts its effects through a dual mechanism: the valsartan component blocks ARB receptors, inhibiting the harmful effects of the RAAS; meanwhile, the sacubitril component inhibits neprilysin, increasing the levels of natriuretic peptides and other vasoactive peptides. This enhances their beneficial effects of promoting urinary sodium excretion, vasodilation, anti-fibrosis, and anti-cardiomyocyte hypertrophy (<xref ref-type="bibr" rid="B17">17</xref>). Landmark trials in heart failure with reduced ejection fraction (HFrEF) have demonstrated superior reverse remodeling with SV compared with ACEi/ARB (<xref ref-type="bibr" rid="B18">18</xref>). Although initially indicated for HFrEF, SV is increasingly utilized for the management of essential hypertension due to its potent antihypertensive effects and potential for organ protection, even in patients without overt heart failure (<xref ref-type="bibr" rid="B19">19</xref>). Emerging evidence also suggests mortality and hospitalization benefits in patients requiring hemodialysis (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B20">20</xref>). However, real-world data comparing SV with ACEi/ARB specifically for ventricular remodeling in hypertensive MHD patients without overt heart failure remain scarce.</p>
<p>This study aimed to evaluate the efficacy of SV compared with ACEi/ARB therapy on ventricular remodeling and blood pressure control in patients with MHD and hypertension in a real-world setting.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<sec id="s2a"><title>Study design and participants</title>
<p>This single-center, retrospective cohort study was conducted at the Hemodialysis Center of Youyang Hospital, The First Affiliated Hospital of Chongqing Medical University, from 1 January 2023 to 30 June 2025. Patients were stratified into the SV group and the ACEi/ARB group according to their prescribed medication regimen initiated at baseline. The decision to prescribe SV or ACEi/ARB was made by the treating physician based on blood pressure control needs and clinical judgment regarding organ protection. The study protocol adhered to the Declaration of Helsinki and was approved by the institutional ethics committee. The requirement for informed consent was waived due to the retrospective design.</p>
<p>Inclusion Criteria: (1) Age &#x2265;18 years; (2) Regular hemodialysis for ESRD for &#x2265; 3 months (4&#x2005;h/session, 2&#x2013;3 times/week); (3) Diagnosis of hypertension with new initiation or switch to either SV or ACEi/ARB drugs for &#x2265;6 months; and (4) Availability of complete echocardiographic and clinical laboratory data at baseline and 6-month follow-up.</p>
<p>Exclusion Criteria: (1) NYHA class IV heart failure or hospitalization for acute heart failure within the preceding 6 months; (2) significant structural heart disease (severe valvular disease, hypertrophic cardiomyopathy, or pericardial disease); (3) severe comorbidities, including active malignancy, severe infection, or hepatic dysfunction (Child-Pugh class C); (4) history of angioedema; and (5) incomplete clinical data.</p>
<p>The diagnosis of hypertensive nephropathy was established clinically based on a composite of criteria: (1) a documented history of long-standing hypertension preceding the onset of kidney dysfunction; (2) evidence of hypertension-mediated target-organ damage, such as hypertensive retinopathy and/or left ventricular hypertrophy (LVH); (3) the absence of features suggestive of an alternative primary renal disease, including active urinary sediment or nephrotic-range proteinuria, when such data were available; and (4) the exclusion of other plausible etiologies based on a comprehensive chart review (<xref ref-type="bibr" rid="B21">21</xref>). In this retrospective cohort, kidney biopsy was not routinely performed and was generally reserved for atypical clinical presentations.</p>
<p>Patients were stratified into the SV group and the ACEi/ARB group according to their prescribed medication regimen. The initial oral dose of SV was 50&#x2005;mg twice daily, with titration every 2&#x2013;4 weeks up to a maximum of 200&#x2005;mg twice daily, according to blood pressure response and tolerability. The final dosage of SV in the study group is detailed in <xref ref-type="sec" rid="s13">Supplementary Table S1</xref>. The numbers of MHD patients with hypertension who received 50&#x2005;mg twice daily, 100&#x2005;mg twice daily, and 200&#x2005;mg twice daily were 6 (13.04&#x0025;), 28 (60.87&#x0025;), and 12 (26.09&#x0025;), respectively. The oral dose of ACEi/ARB drugs for patients was the tolerable dose. Concomitant antihypertensive medications were generally maintained at stable doses throughout the observation period to minimize confounding variables, unless dose adjustments were clinically required due to safety concerns.</p>
</sec>
<sec id="s2b"><title>Data collection and outcomes</title>
<p>Clinical and demographic data were retrieved from the Hospital Information System (HIS) and Laboratory Information System (LIS). Baseline characteristics included age, gender, dialysis vintage, primary etiology of ESRD, comorbidities (e.g., diabetes mellitus, coronary heart disease), and concomitant medications.</p>
</sec>
<sec id="s2c"><title>Laboratory assessments</title>
<p>Laboratory indicators were collected at baseline and at the 6-month follow-up. These included N-terminal pro-brain natriuretic peptide (NT-proBNP), serum creatinine, blood urea nitrogen, serum potassium, serum calcium, serum phosphate, intact parathyroid hormone, hemoglobin, albumin, high-sensitivity C-reactive protein (hs-CRP), alanine aminotransferase (ALT), aspartate aminotransferase (AST), &#x03B2;2-microglobulin, spKt/v, and serum ferritin.</p>
</sec>
<sec id="s2d"><title>Echocardiographic and blood pressure measurements</title>
<p>Transthoracic echocardiography was performed by experienced sonographers using a standardized protocol at baseline and at 6 months (&#x00B1;2 weeks) after initiation of treatment. All measurements were taken in accordance with the current recommendations of the American Society of Echocardiography (ASE) and the European Association of Cardiovascular Imaging (<xref ref-type="bibr" rid="B22">22</xref>). Key parameters included left ventricular end-diastolic diameter (LVEDd), left ventricular end-systolic diameter (LVESd), interventricular septum thickness in diastole (IVSTd), and posterior wall thickness at end-diastole (PWTd).</p>
<p>Left ventricular mass (LVM) was calculated using the Devereux-modified ASE cube formula:<disp-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="UDM1"><mml:mrow><mml:mi mathvariant="normal">LVM</mml:mi></mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>g</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mspace width=".1em"/><mml:mo>=</mml:mo><mml:mspace width=".1em"/><mml:mn>0.8</mml:mn><mml:mspace width=".1em"/><mml:mo>&#x00D7;</mml:mo><mml:mspace width=".1em"/><mml:mo fence="false" stretchy="false">{</mml:mo><mml:mrow><mml:mn>1.04</mml:mn><mml:mrow><mml:mspace width="0.25em"/></mml:mrow><mml:mo stretchy="false">[</mml:mo><mml:mrow><mml:msup><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">LVEDd</mml:mi></mml:mrow><mml:mo>+</mml:mo><mml:mrow><mml:mi mathvariant="normal">IVSTd</mml:mi></mml:mrow><mml:mo>+</mml:mo><mml:mrow><mml:mi mathvariant="normal">PWTd</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mn>3</mml:mn></mml:msup><mml:mo>&#x2212;</mml:mo><mml:mrow><mml:mspace width="0.25em"/></mml:mrow><mml:msup><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">LVEDd</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mn>3</mml:mn></mml:msup></mml:mrow><mml:mo stretchy="false">]</mml:mo></mml:mrow><mml:mo fence="false" stretchy="false">}</mml:mo><mml:mspace width=".1em"/><mml:mo>+</mml:mo><mml:mspace width=".1em"/><mml:mn>0.6</mml:mn></mml:math></disp-formula>LVM was then indexed to body surface area (Du Bois formula) to obtain the left ventricular mass index (LVMI, g/m<sup>2</sup>).</p>
<p>Left ventricular ejection fraction (LVEF) was measured using the biplane Simpson&#x0027;s method. All other linear dimensions were measured in the parasternal long-axis view at end-diastole.</p>
<p>Pre-dialysis blood pressure was measured in the sitting position using a calibrated electronic sphygmomanometer after at least 5&#x2005;min of rest. At both baseline and 6-month follow-up, blood pressure was recorded immediately before three consecutive hemodialysis sessions, and the average of these three measurements was used for analysis.</p>
</sec>
<sec id="s2e"><title>Primary endpoint</title>
<p>The primary efficacy endpoint was the change in LVMI from baseline to 6 months.</p>
</sec>
<sec id="s2f"><title>Secondary endpoints</title>
<p>The secondary endpoints including the LVEDd (mm), LVESd (mm), IVSTd (mm), PWTd (mm), and LVEF (&#x0025;). Other secondary objectives included the changes in NT-proBNP, systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure.</p>
</sec>
<sec id="s2g"><title>Safety endpoints</title>
<p>Safety and tolerability were assessed by monitoring adverse events (AEs), specifically symptomatic hypotension, intradialytic hypotension, angioedema, cough, hepatic dysfunction, and hyperkalemia (serum potassium &#x003E;5.5&#x2005;mmol/L). Intradialytic hypotension was defined as a decrease in SBP &#x2265;20&#x2005;mmHg or mean arterial pressure &#x2265;10&#x2005;mmHg during dialysis that was accompanied by symptoms (e.g., cramping, headache, lightheadedness, vomiting, chest pain) or required intervention (e.g., reduced ultrafiltration, fluid administration, or blood flow reduction).</p>
</sec>
<sec id="s2h"><title>Statistical analysis</title>
<p>All statistical analyses and diagrams were conducted using GraphPad Prism, version 9.0, and SPSS version 27.0 software (IBM Corp., Armonk, NY). Categorical variables are presented as percentages (&#x0025;) and counts, while normally&#x2014;distributed continuous variables are reported as the means&#x2009;&#x00B1;&#x2009;standard deviations (SD). Non&#x2014;normally distributed continuous variables are represented by the median and interquartile range (IQR). To compare the mean values before and after treatment, a paired <italic>t</italic>-test was used if the differences followed a normal distribution. Conversely, the Wilcoxon signed&#x2014;rank test for paired samples was utilized when the differences did not adhere to a normal distribution. To compare longitudinal changes between groups, we applied a two-way repeated-measures ANOVA and reported the treatment group&#x2009;&#x00D7;&#x2009;time interaction <italic>P</italic> value. Multiple linear regression analysis was performed to identify independent predictors of changes in LVMI. Variables were selected for the multivariate model based on clinical relevance and significant baseline differences observed between the groups. No adjustment for multiplicity was applied for secondary endpoints. To further address potential selection bias and baseline imbalances, a sensitivity analysis was performed using propensity score (PS) adjustment. A logistic regression model including age, sex, dialysis vintage, hypertensive nephropathy, baseline LVMI, SBP, and baseline use of CCBs and &#x03B1;-blockers was used to calculate the PS for receiving SV. This PS was then included as a covariate in the linear regression model for the change in LVMI. A two-tailed <italic>P</italic>-value&#x2009;&#x003C;&#x2009;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Baseline characteristics</title>
<p>The study screened 286 MHD patients from our hospital between January 1, 2023, and June 30, 2025. Among them, 204 were diagnosed with hypertension. According to the exclusion criteria, we excluded 15 patients with a dialysis duration of less than three months, 4 patient who died during follow-up, 22 patients not taking SV or ACEi/ARB class antihypertensive drugs, and 52 patients with incomplete clinical data were excluded. Finally, 111 patients were included. The cohort included 46 patients in the SV group and 65 in the ACEi/ARB group (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>).</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>Flow diagram for patient inclusion and exclusion in the study. SV, sacubitril/valsartan; ACEi/ARB, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-13-1776823-g001.tif"><alt-text content-type="machine-generated">Flowchart illustrating patient selection for analysis: 286 hemodialysis patients initially screened, 204 had hypertension, with exclusions for short hemodialysis, poor compliance, death, no treatment, or incomplete data, leaving 111 patients split into SV group (46) and ACEi/ARB group (65).</alt-text>
</graphic>
</fig>
<p>Baseline characteristics are summarized in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. The mean age was 56.17&#x2009;&#x00B1;&#x2009;13.47 years, and 68.5&#x0025; were male. The average BMI was 22.20&#x2009;&#x00B1;&#x2009;3.37&#x2005;kg/m<sup>2</sup>, and the median dialysis duration was 45.50 (21.0&#x2013;78.25) months. The main cause of ESRD was glomerulonephritis (35.1&#x0025;), followed by diabetic nephropathy (25.2&#x0025;), hypertensive nephropathy (21.6&#x0025;), and other causes (18.0&#x0025;). Most patients (91.0&#x0025;) underwent dialysis three times per week. Regarding other medications, 58.6&#x0025; of patients received calcium channel blockers, 28.8&#x0025; received &#x03B2;-blockers, and 24.3&#x0025; received <italic>&#x03B1;</italic>-blockers. Notably, dialysis vintage was longer in the SV group compared to the ACEi/ARB group (64.50 vs. 34.00 months; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.010). The proportion of patients with hypertensive nephropathy was also higher in the SV group (34.8&#x0025; vs. 12.3&#x0025;; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.005). Additionally, the use of calcium channel blockers (80.4&#x0025; vs. 43.1&#x0025;) and alpha-blockers (43.5&#x0025; vs. 10.8&#x0025;) was significantly more frequent in the SV group. Baseline echocardiographic parameters were comparable between the two groups (<xref ref-type="sec" rid="s13">Supplementary Table S2</xref>).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Patients demographic and baseline clinical characteristics.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">All patients (<italic>n</italic>&#x2009;&#x003D;&#x2009;111)</th>
<th valign="top" align="center">ACEi/ARB treated patients (<italic>n</italic>&#x2009;&#x003D;&#x2009;65)</th>
<th valign="top" align="center">Sacubitril/Valsartan treated patients (<italic>n</italic>&#x2009;&#x003D;&#x2009;46)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">56.17&#x2009;&#x00B1;&#x2009;13.47</td>
<td valign="top" align="center">58.39&#x2009;&#x00B1;&#x2009;13.02</td>
<td valign="top" align="center">55.09&#x2009;&#x00B1;&#x2009;11.14</td>
<td valign="top" align="center">0.201</td>
</tr>
<tr>
<td valign="top" align="left">Male gender, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">76 (68.5)</td>
<td valign="top" align="center">44 (67.7)</td>
<td valign="top" align="center">32 (69.6)</td>
<td valign="top" align="center">0.834</td>
</tr>
<tr>
<td valign="top" align="left">BMI, (Kg/m<sup>2</sup>)</td>
<td valign="top" align="center">22.20&#x2009;&#x00B1;&#x2009;3.37</td>
<td valign="top" align="center">22.12&#x2009;&#x00B1;&#x2009;3.40</td>
<td valign="top" align="center">22.30&#x2009;&#x00B1;&#x2009;3.36</td>
<td valign="top" align="center">0.796</td>
</tr>
<tr>
<td valign="top" align="left">Dialysis age, (months)</td>
<td valign="top" align="center">45.50 (21.0&#x2013;78.25)</td>
<td valign="top" align="center">34.00 (19.25&#x2013;53.50)</td>
<td valign="top" align="center">64.50 (35.75&#x2013;84.00)</td>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">Causes of ESRD</td>
</tr>
<tr>
<td valign="top" align="left">Glomerulonephritis, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">39 (35.1)</td>
<td valign="top" align="center">26 (40.0)</td>
<td valign="top" align="center">13 (28.3)</td>
<td valign="top" align="center">0.202</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes related kidney disease, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">28 (25.2)</td>
<td valign="top" align="center">17 (26.2)</td>
<td valign="top" align="center">11 (23.9)</td>
<td valign="top" align="center">0.789</td>
</tr>
<tr>
<td valign="top" align="left">Hypertensive nephropathy, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">24 (21.6)</td>
<td valign="top" align="center">8 (12.3)</td>
<td valign="top" align="center">16 (34.8)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Others, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">20 (18.0)</td>
<td valign="top" align="center">14 (21.5)</td>
<td valign="top" align="center">6 (13.0)</td>
<td valign="top" align="center">0.251</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">Frequency of dialysis</td>
</tr>
<tr>
<td valign="top" align="left">3 times per week, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">101 (91.0)</td>
<td valign="top" align="center">59 (90.8)</td>
<td valign="top" align="center">42 (91.3)</td>
<td valign="top" align="center">0.923</td>
</tr>
<tr>
<td valign="top" align="left">2 times per week, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">10 (9.0)</td>
<td valign="top" align="center">6 (9.2)</td>
<td valign="top" align="center">4 (8.7)</td>
<td valign="top" align="center">0.923</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">Other medications</td>
</tr>
<tr>
<td valign="top" align="left">calcium channel blocker, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">65 (58.6)</td>
<td valign="top" align="center">28 (43.1)</td>
<td valign="top" align="center">37 (80.4)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B2;-blocker, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">32 (28.8)</td>
<td valign="top" align="center">16 (24.6)</td>
<td valign="top" align="center">16 (34.8)</td>
<td valign="top" align="center">0.244</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B1;-blocker, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">27 (24.3)</td>
<td valign="top" align="center">7 (10.8)</td>
<td valign="top" align="center">20 (43.5)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">Laboratory indices</td>
</tr>
<tr>
<td valign="top" align="left">blood urea nitrogen, (mmol/L)</td>
<td valign="top" align="center">19.92 (16.71&#x2013;23.13)</td>
<td valign="top" align="center">19.92 (15.36&#x2013;23.06)</td>
<td valign="top" align="center">19.97 (17.21&#x2013;23.78)</td>
<td valign="top" align="center">0.300</td>
</tr>
<tr>
<td valign="top" align="left">serum creatinine, (&#x03BC;mol/L)</td>
<td valign="top" align="center">984.15 (745.95&#x2013;1,240.10)</td>
<td valign="top" align="center">953.85 (715.93&#x2013;1,193.38)</td>
<td valign="top" align="center">1,007.50 (847.80&#x2013;1,300.25)</td>
<td valign="top" align="center">0.056</td>
</tr>
<tr>
<td valign="top" align="left">serum uric acid, (&#x03BC;mol/L)</td>
<td valign="top" align="center">468.00 (383.00&#x2013;521.00)</td>
<td valign="top" align="center">464.50 (361.00&#x2013;527.75)</td>
<td valign="top" align="center">469.50 (390.75&#x2013;519.00)</td>
<td valign="top" align="center">0.547</td>
</tr>
<tr>
<td valign="top" align="left">spKt/v</td>
<td valign="top" align="center">1.29 (1.16&#x2013;1.45)</td>
<td valign="top" align="center">1.29 (1.13&#x2013;1.51)</td>
<td valign="top" align="center">1.29 (1.16&#x2013;1.42)</td>
<td valign="top" align="center">0.808</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B2;2-microglobulin, (mg/L)</td>
<td valign="top" align="center">35.29&#x2009;&#x00B1;&#x2009;9.14</td>
<td valign="top" align="center">33.64&#x2009;&#x00B1;&#x2009;9.24</td>
<td valign="top" align="center">37.58&#x2009;&#x00B1;&#x2009;8.58</td>
<td valign="top" align="center">0.012</td>
</tr>
<tr>
<td valign="top" align="left">Serum calcium, (mmol/L)</td>
<td valign="top" align="center">2.18&#x2009;&#x00B1;&#x2009;0.23</td>
<td valign="top" align="center">2.15&#x2009;&#x00B1;&#x2009;0.24</td>
<td valign="top" align="center">2.23&#x2009;&#x00B1;&#x2009;0.21</td>
<td valign="top" align="center">0.057</td>
</tr>
<tr>
<td valign="top" align="left">Serum phosphate, (mmol/L)</td>
<td valign="top" align="center">1.64 (1.35&#x2013;2.00)</td>
<td valign="top" align="center">1.60 (1.28&#x2013;2.07)</td>
<td valign="top" align="center">1.67 (1.44&#x2013;1.92)</td>
<td valign="top" align="center">0.557</td>
</tr>
<tr>
<td valign="top" align="left">Ferritin, (ng/mL)</td>
<td valign="top" align="center">55.65 (29.55&#x2013;137.18)</td>
<td valign="top" align="center">80.80 (35.88&#x2013;159.00)</td>
<td valign="top" align="center">40.95 (25.35&#x2013;82.08)</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">Serum potassium, (mmol/L)</td>
<td valign="top" align="center">4.61&#x2009;&#x00B1;&#x2009;0.70</td>
<td valign="top" align="center">4.52&#x2009;&#x00B1;&#x2009;0.72</td>
<td valign="top" align="center">4.74&#x2009;&#x00B1;&#x2009;0.64</td>
<td valign="top" align="center">0.104</td>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin, (g/L)</td>
<td valign="top" align="center">113.82&#x2009;&#x00B1;&#x2009;15.95</td>
<td valign="top" align="center">113.11&#x2009;&#x00B1;&#x2009;17.19</td>
<td valign="top" align="center">114.80&#x2009;&#x00B1;&#x2009;14.18</td>
<td valign="top" align="center">0.530</td>
</tr>
<tr>
<td valign="top" align="left">Parathyroid hormone, (pg/ml)</td>
<td valign="top" align="center">273.50 (175.55&#x2013;424.25)</td>
<td valign="top" align="center">292.55 (157.25&#x2013;395.48)</td>
<td valign="top" align="center">260.50 (187.25&#x2013;477.45)</td>
<td valign="top" align="center">0.501</td>
</tr>
<tr>
<td valign="top" align="left">Albumin, (g/L)</td>
<td valign="top" align="center">39.50 (37.38- 41.00)</td>
<td valign="top" align="center">39.60 (37.43&#x2013;40.95)</td>
<td valign="top" align="center">39.45 (37.23&#x2013;41.35)</td>
<td valign="top" align="center">0.883</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><p>Continuous values are documented by Mean&#x2009;&#x00B1;&#x2009;SD or Median (interquartile); Categorical variables are recorded by <italic>n</italic> (percentage). ACEi/ARB, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers; BMI, body mass index; ESRD, end-stage renal disease; spKt/v, single-pool kt/V.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><title>Primary endpoint</title>
<p>In the SV group, LVMI significantly decreased from 139.08&#x2009;&#x00B1;&#x2009;36.38 g/m<sup>2</sup> at baseline to 133.56&#x2009;&#x00B1;&#x2009;31.68&#x2005;g/m<sup>2</sup> at 6 months (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.006, <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). In contrast, the ACEi/ARB group showed no significant improvement in LVMI, which changed from 139.82&#x2009;&#x00B1;&#x2009;39.96 to 140.93&#x2009;&#x00B1;&#x2009;37.51&#x2005;g/m<sup>2</sup> (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.615, <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). Two-way repeated-measures ANOVA (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>) showed that although the main effect of time (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.153) and the main effect of group (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.557) on LVMI were not statistically significant, the Time&#x2009;&#x00D7;&#x2009;Group interaction was significant (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.033). This interaction suggests that the reduction in LVMI over time was significantly different between the two treatment arms, with a notable advantage observed in the SV group. <xref ref-type="fig" rid="F2">Figure&#x00A0;2A</xref> displays the change in LVMI between the two groups [&#x2212;5.52 (&#x2212;9.35 to &#x2212;1.69) vs. 1.11 (&#x2212;3.27 to 5.50)].</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Changes in left ventricular mass and function in maintenance hemodialysis patients with hypertension.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Parameter and group</th>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">Follow-up</th>
<th valign="top" align="center">&#x0394;Mean (95&#x0025;CI)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">LVMI, g/m<sup>2</sup></td>
</tr>
<tr>
<td valign="top" align="left">ACEi/ARB</td>
<td valign="top" align="center">139.82&#x2009;&#x00B1;&#x2009;39.96</td>
<td valign="top" align="center">140.93&#x2009;&#x00B1;&#x2009;37.51</td>
<td valign="top" align="center">1.11 (&#x2212;3.27 to 5.50)</td>
<td valign="top" align="center">0.615</td>
</tr>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">139.08&#x2009;&#x00B1;&#x2009;36.38</td>
<td valign="top" align="center">133.56&#x2009;&#x00B1;&#x2009;31.68</td>
<td valign="top" align="center">&#x2212;5.52 (&#x2212;9.35 to &#x2212;1.69)</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">LVEDd, mm</td>
</tr>
<tr>
<td valign="top" align="left">ACEi/ARB</td>
<td valign="top" align="center">49.29&#x2009;&#x00B1;&#x2009;6.13</td>
<td valign="top" align="center">49.54&#x2009;&#x00B1;&#x2009;5.79</td>
<td valign="top" align="center">0.25 (&#x2212;0.77 to 1.26)</td>
<td valign="top" align="center">0.629</td>
</tr>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">50.96&#x2009;&#x00B1;&#x2009;5.69</td>
<td valign="top" align="center">50.39&#x2009;&#x00B1;&#x2009;4.70</td>
<td valign="top" align="center">&#x2212;0.57 (&#x2212;1.32 to 0.19)</td>
<td valign="top" align="center">0.138</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">LVESd, mm</td>
</tr>
<tr>
<td valign="top" align="left">ACEi/ARB</td>
<td valign="top" align="center">33.06&#x2009;&#x00B1;&#x2009;6.67</td>
<td valign="top" align="center">32.08&#x2009;&#x00B1;&#x2009;6.42</td>
<td valign="top" align="center">&#x2212;0.99 (&#x2212;2.01 to 0.09)</td>
<td valign="top" align="center">0.072</td>
</tr>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">34.63&#x2009;&#x00B1;&#x2009;7.19</td>
<td valign="top" align="center">34.24&#x2009;&#x00B1;&#x2009;6.10</td>
<td valign="top" align="center">&#x2212;0.39 (&#x2212;2.15 to 1.37)</td>
<td valign="top" align="center">0.656</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">PWTd, mm</td>
</tr>
<tr>
<td valign="top" align="left">ACEi/ARB</td>
<td valign="top" align="center">10.85&#x2009;&#x00B1;&#x2009;1.65</td>
<td valign="top" align="center">10.97&#x2009;&#x00B1;&#x2009;1.55</td>
<td valign="top" align="center">0.12 (&#x2212;0.16 to 0.41)</td>
<td valign="top" align="center">0.387</td>
</tr>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">11.19&#x2009;&#x00B1;&#x2009;1.75</td>
<td valign="top" align="center">11.11&#x2009;&#x00B1;&#x2009;1.35</td>
<td valign="top" align="center">&#x2212;0.08 (&#x2212;0.41 to 0.24)</td>
<td valign="top" align="center">0.600</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">IVSTd, mm</td>
</tr>
<tr>
<td valign="top" align="left">ACEi/ARB</td>
<td valign="top" align="center">11.69&#x2009;&#x00B1;&#x2009;1.85</td>
<td valign="top" align="center">11.60&#x2009;&#x00B1;&#x2009;1.58</td>
<td valign="top" align="center">&#x2212;0.09 (&#x2212;0.39 to 0.20)</td>
<td valign="top" align="center">0.531</td>
</tr>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">11.78&#x2009;&#x00B1;&#x2009;1.64</td>
<td valign="top" align="center">11.52&#x2009;&#x00B1;&#x2009;1.52</td>
<td valign="top" align="center">&#x2212;0.27 (&#x2212;0.63 to 0.10)</td>
<td valign="top" align="center">0.147</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">LVEF, &#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">ACEi/ARB</td>
<td valign="top" align="center">60.43&#x2009;&#x00B1;&#x2009;9.16</td>
<td valign="top" align="center">59.45&#x2009;&#x00B1;&#x2009;10.09</td>
<td valign="top" align="center">&#x2212;0.99 (&#x2212;2.13 to 0.16)</td>
<td valign="top" align="center">0.091</td>
</tr>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">60.28&#x2009;&#x00B1;&#x2009;7.26</td>
<td valign="top" align="center">62.80&#x2009;&#x00B1;&#x2009;8.88</td>
<td valign="top" align="center">2.52 (0.88 to 4.16)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">NT-pro BNP, Log</td>
</tr>
<tr>
<td valign="top" align="left">ACEi/ARB</td>
<td valign="top" align="center">3.62&#x2009;&#x00B1;&#x2009;0.65</td>
<td valign="top" align="center">3.45&#x2009;&#x00B1;&#x2009;0.59</td>
<td valign="top" align="center">&#x2212;0.16 (&#x2212;0.28 to &#x2212;0.04)</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">3.55&#x2009;&#x00B1;&#x2009;0.55</td>
<td valign="top" align="center">3.39&#x2009;&#x00B1;&#x2009;0.45</td>
<td valign="top" align="center">&#x2212;0.16 (&#x2212;0.30 to &#x2212;0.02)</td>
<td valign="top" align="center">0.030</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF2"><p>CI, confidence interval; LVMI, left ventricular mass index; ACEi/ARB, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers; LVEDd, left ventricular end-diastolic dimension; LVESd, left ventricular end-systolic diameter; PWTd, posterior wall thickness at end-diastole; IVSTd, interventricular septum thickness in diastole; LVEF, Left ventricular ejection fraction.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>Two-way ANOVA results for left ventricular mass and function in maintenance hemodialysis patients with hypertension.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Parameter and group</th>
<th valign="top" align="center">Effect</th>
<th valign="top" align="center">F-value</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">LVMI, g/m<sup>2</sup></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group</td>
<td valign="top">0.348</td>
<td valign="top">0.557</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Time</td>
<td valign="top">2.07</td>
<td valign="top">0.153</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group&#x2009;&#x00D7;&#x2009;Time interaction</td>
<td valign="top">4.69</td>
<td valign="top">0.033</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">LVEF, &#x0025;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group</td>
<td valign="top">0.920</td>
<td valign="top">0.340</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Time</td>
<td valign="top">2.53</td>
<td valign="top">0.114</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group&#x2009;&#x00D7;&#x2009;Time interaction</td>
<td valign="top">13.17</td>
<td valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">LVEDd, mm</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group</td>
<td valign="top">1.471</td>
<td valign="top">0.228</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Time</td>
<td valign="top">0.220</td>
<td valign="top">0.640</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group&#x2009;&#x00D7;&#x2009;Time interaction</td>
<td valign="top">1.422</td>
<td valign="top">0.236</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">LVESd, mm</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group</td>
<td valign="top">2.523</td>
<td valign="top">0.115</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Time</td>
<td valign="top">1.994</td>
<td valign="top">0.161</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group&#x2009;&#x00D7;&#x2009;Time interaction</td>
<td valign="top">0.371</td>
<td valign="top">0.544</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">PWTd, mm</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group</td>
<td valign="top">7.003</td>
<td valign="top">0.009</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Time</td>
<td valign="top">0.032</td>
<td valign="top">0.859</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group&#x2009;&#x00D7;&#x2009;Time interaction</td>
<td valign="top">0.931</td>
<td valign="top">0.337</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">IVSTd, mm</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group</td>
<td valign="top">0.001</td>
<td valign="top">0.978</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Time</td>
<td valign="top">2.402</td>
<td valign="top">0.124</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group&#x2009;&#x00D7;&#x2009;Time interaction</td>
<td valign="top">0.562</td>
<td valign="top">0.455</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">NT-pro BNP, Log</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group</td>
<td valign="top">0.460</td>
<td valign="top">0.499</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Time</td>
<td valign="top">12.075</td>
<td valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top">Group&#x2009;&#x00D7;&#x2009;Time interaction</td>
<td valign="top">0.002</td>
<td valign="top">0.967</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3"><p>LVMI, left ventricular mass index; LVEF, Left ventricular ejection fraction; LVEDd, left ventricular end-diastolic dimension; LVESd, left ventricular end-systolic diameter; PWTd, posterior wall thickness at end-diastole; IVSTd, interventricular septum thickness in diastole.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>Comparison of the treatment effect between groups, expressed as the mean change from baseline to 6 months for left ventricular mass Index (&#x0394;LVMI, <bold>A</bold>) and left ventricular ejection fraction &#x0394;LVEF, <bold>B</bold>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-13-1776823-g002.tif"><alt-text content-type="machine-generated">Two bar charts compare changes in left ventricular mass index (&#x0394;LVMI, panel A) and ejection fraction (&#x0394;LVEF, panel B) between Sacubitril/Valsartan and ACEI/ARB. Sacubitril/Valsartan shows greater improvement with &#x0394;LVMI of negative 5.52 and &#x0394;LVEF of 2.52, compared to ACEi/ARB (&#x0394;LVMI 1.11 and &#x0394;LVEF negative 0.99). Confidence intervals are provided.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3c"><title>Secondary endpoints</title>
<p>LVEF changed from 60.43&#x2009;&#x00B1;&#x2009;9.16&#x0025; to 59.45&#x2009;&#x00B1;&#x2009;10.09&#x0025; in the ACEi/ARB group (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.091), and from 60.28&#x2009;&#x00B1;&#x2009;7.26&#x0025; to 62.80&#x2009;&#x00B1;&#x2009;8.88&#x0025; in the SV group (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.003; <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). ANOVA demonstrated a significant Group&#x2009;&#x00D7;&#x2009;Time interaction for LVEF (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001; <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>). <xref ref-type="fig" rid="F2">Figure&#x00A0;2B</xref> displays the change in LVEF between the two groups [2.52 (0.88&#x2013;4.16) vs. &#x2212;0.99 (&#x2212;2.13 to 0.16)]. Other echocardiographic indices, including LVEDd, LVESd, IVSTd, and PWTd, did not change significantly over 6 months in either group (<italic>P</italic>&#x2009;&#x003E;&#x2009;0.05; <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). Consistently, ANOVA showed no significant group &#x2009;&#x00D7;&#x2009; time interaction for LVEDd, LVESd, PWTd, IVSTd or Log-transformed NT-proBNP (<italic>P</italic>&#x2009;&#x003E;&#x2009;0.05; <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
<p>The ACEi/ARB group achieved a significant reduction in SBP of 9.81&#x2005;mmHg (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), DBP of 3.19&#x2005;mmHg (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.035) and pulse pressure of 6.63&#x2005;mmHg (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.002, <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>). Similarly, the SV group showed significant decreases in SBP (&#x2212;10.46&#x2005;mmHg, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), DBP (&#x2212;4.13&#x2005;mmHg, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.021) and pulse pressure (&#x2212;6.32&#x2005;mmHg, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.004, <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
<table-wrap id="T4" position="float"><label>Table&#x00A0;4</label>
<caption><p>Comparison of blood pressure changes in maintenance hemodialysis patients with hypertension.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Parameter and group</th>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">Follow-up</th>
<th valign="top" align="center">&#x0394;Mean (95&#x0025;CI)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">SBP, mmHg</td>
</tr>
<tr>
<td valign="top" align="left">ACEi/ARB</td>
<td valign="top" align="center">150.49&#x2009;&#x00B1;&#x2009;12.51</td>
<td valign="top" align="center">140.68&#x2009;&#x00B1;&#x2009;13.58</td>
<td valign="top" align="center">&#x2212;9.81 (&#x2212;14.21 to &#x2212;5.42)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">147.72&#x2009;&#x00B1;&#x2009;14.62</td>
<td valign="top" align="center">137.26&#x2009;&#x00B1;&#x2009;11.67</td>
<td valign="top" align="center">&#x2212;10.46 (&#x2212;15.50 to&#x2212;5.42)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">DBP, mmHg</td>
</tr>
<tr>
<td valign="top" align="left">ACEi/ARB</td>
<td valign="top" align="center">86.26&#x2009;&#x00B1;&#x2009;9.70</td>
<td valign="top" align="center">83.08&#x2009;&#x00B1;&#x2009;9.80</td>
<td valign="top" align="center">&#x2212;3.19 (&#x2212;6.13 to &#x2212;0.24)</td>
<td valign="top" align="center">0.035</td>
</tr>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">87.24&#x2009;&#x00B1;&#x2009;10.85</td>
<td valign="top" align="center">83.11&#x2009;&#x00B1;&#x2009;10.75</td>
<td valign="top" align="center">&#x2212;4.13 (&#x2212;7.62 to &#x2212;0.64)</td>
<td valign="top" align="center">0.021</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">Pulse pressure, mmHg</td>
</tr>
<tr>
<td valign="top" align="left">ACEi/ARB</td>
<td valign="top" align="center">64.23&#x2009;&#x00B1;&#x2009;13.65</td>
<td valign="top" align="center">57.60&#x2009;&#x00B1;&#x2009;15.33</td>
<td valign="top" align="center">&#x2212;6.63 (&#x2212;10.82 to &#x2212;3.17)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">60.48&#x2009;&#x00B1;&#x2009;13.42</td>
<td valign="top" align="center">54.15&#x2009;&#x00B1;&#x2009;11.37</td>
<td valign="top" align="center">&#x2212;6.32 (&#x2212;10.49 to &#x2212;2.16)</td>
<td valign="top" align="center">0.004</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF4"><p>CI, confidence interval; SBP, systolic blood pressure; ACEi/ARB, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers; DBP, diastolic blood pressure.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Log-transformed NT-proBNP levels also declined significantly in both cohorts. The SV group showed a reduction from 3.55&#x2009;&#x00B1;&#x2009;0.55 to 3.39&#x2009;&#x00B1;&#x2009;0.45 (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.030), and the ACEi/ARB group showed a reduction from 3.62&#x2009;&#x00B1;&#x2009;0.65 to 3.45&#x2009;&#x00B1;&#x2009;0.59 (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.008, <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
</sec>
<sec id="s3d"><title>Multiple linear regression and sensitivity analysis</title>
<p>After adjusting for potential confounders including age, male gender, dialysis vintage, hypertensive nephropathy, concomitant CCBs, concomitant &#x03B2;-blockers, baseline LVMI, and baseline SBP, treatment with SV remained a significant independent predictor of LVMI improvement (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.023; <xref ref-type="table" rid="T5">Table&#x00A0;5</xref>). Baseline LVMI was also significantly associated with changes in LVMI (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001; <xref ref-type="table" rid="T5">Table&#x00A0;5</xref>).</p>
<table-wrap id="T5" position="float"><label>Table&#x00A0;5</label>
<caption><p>Results of multiple regression analysis for factors affecting left ventricular mass index changes.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Parameter</th>
<th valign="top" align="center">Model 1: &#x03B2; (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>P</italic></th>
<th valign="top" align="center">Model 2: &#x03B2; (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sacubitril/Valsartan</td>
<td valign="top" align="center">&#x2212;7.34 (&#x2212;13.64 to &#x2212;1.03)</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">&#x2212;8.20 (&#x2212;14.69 to &#x2212;1.71)</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">0.14 (&#x2212;0.09 to 0.37)</td>
<td valign="top" align="center">0.229</td>
<td valign="top" align="center">0.17 (&#x2212;0.07 to 0.40)</td>
<td valign="top" align="center">0.163</td>
</tr>
<tr>
<td valign="top" align="left">Male gender</td>
<td valign="top" align="center">&#x2212;1.25 (&#x2212;7.52 to 5.03)</td>
<td valign="top" align="center">0.694</td>
<td valign="top" align="center">&#x2212;1.24 (&#x2212;7.50 to 5.03)</td>
<td valign="top" align="center">0.696</td>
</tr>
<tr>
<td valign="top" align="left">Dialysis age</td>
<td valign="top" align="center">&#x2212;0.01 (&#x2212;0.09 to 0.07)</td>
<td valign="top" align="center">0.730</td>
<td valign="top" align="center">&#x2212;0.04 (&#x2212;0.13 to 0.05)</td>
<td valign="top" align="center">0.412</td>
</tr>
<tr>
<td valign="top" align="left">Hypertensive nephropathy</td>
<td valign="top" align="center">5.34 (&#x2212;2.03 to 12.71)</td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center">4.87 (&#x2212;2.55 to 12.28)</td>
<td valign="top" align="center">0.196</td>
</tr>
<tr>
<td valign="top" align="left">calcium channel blocker</td>
<td valign="top" align="center">&#x2212;1.23 (&#x2212;8.00 to 5.54)</td>
<td valign="top" align="center">0.719</td>
<td valign="top" align="center">&#x2212;5.87 (&#x2212;16.68 to 4.94)</td>
<td valign="top" align="center">0.284</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B2;-blocker</td>
<td valign="top" align="center">6.09 (&#x2212;0.50 to 12.68)</td>
<td valign="top" align="center">0.070</td>
<td valign="top" align="center">5.20 (&#x2212;1.59 to 11.98)</td>
<td valign="top" align="center">0.132</td>
</tr>
<tr>
<td valign="top" align="left">Baseline LVMI</td>
<td valign="top" align="center">&#x2212;0.17 (&#x2212;0.24 to &#x2212;0.09)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">&#x2212;0.17 (&#x2212;0.24 to &#x2212;0.09)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Baseline SBP</td>
<td valign="top" align="center">0.06 (&#x2212;0.16 to 0.28)</td>
<td valign="top" align="center">0.597</td>
<td valign="top" align="center">0.14 (&#x2212;0.12 to 0.40)</td>
<td valign="top" align="center">0.298</td>
</tr>
<tr>
<td valign="top" align="left">Propensity score</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">14.21 (&#x2212;11.62 to 40.03)</td>
<td valign="top" align="center">0.278</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF5"><p>Model 1 was adjusted for age, sex, dialysis vintage, hypertensive nephropathy, baseline use of calcium channel blockers and &#x03B2;-blockers, baseline LVMI, and baseline SBP. Model 2 additionally included the propensity score (PS). CI, confidence interval; LVMI, left ventricular mass index; SBP, systolic blood pressure.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In the sensitivity analysis using propensity score adjustment, the propensity score was included in the regression model. The results confirmed that SV treatment was significantly associated with a greater reduction in LVMI (<italic>&#x03B2;</italic>&#x2009;&#x003D;&#x2009;&#x2212;8.20, 95&#x0025; CI &#x2212;14.69 to &#x2212;1.71, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.014) (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>).</p>
</sec>
<sec id="s3e"><title>Safety outcomes</title>
<p>The AEs are summarized in <xref ref-type="table" rid="T6">Table&#x00A0;6</xref>. The overall incidence of new-onset intradialytic hypotension was 6.3&#x0025; (7 patients), with comparable rates between the ACEi/ARB (6.1&#x0025;, <italic>n</italic>&#x2009;&#x003D;&#x2009;4) and SV (6.5&#x0025;, <italic>n</italic>&#x2009;&#x003D;&#x2009;3) groups. Hyperkalemia occurred in 8.1&#x0025; of patients (<italic>n</italic>&#x2009;&#x003D;&#x2009;9), including 5 (7.6&#x0025;) in the ACEi/ARB group and 4 (8.6&#x0025;) in the SV group. No cases of angioedema or cough were reported. Importantly, no patients required dose reduction or treatment discontinuation due to adverse events.</p>
<table-wrap id="T6" position="float"><label>Table&#x00A0;6</label>
<caption><p>Adverse events of patients in maintenance hemodialysis with hypertension.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Parameter</th>
<th valign="top" align="center">Overall</th>
<th valign="top" align="center">ACEi/ARB <break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;65)</th>
<th valign="top" align="center">Sacubitril/<break/>Valsartan <break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;46)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">New-onset intradialytic hypotension<xref ref-type="table-fn" rid="TF7"><sup>a</sup></xref>, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">7 (6.3)</td>
<td valign="top" align="center">4 (6.1)</td>
<td valign="top" align="center">3 (6.5)</td>
</tr>
<tr>
<td valign="top" align="left">Hyperkalemia (&#x003E;5.5&#x2005;mmol/L), <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">9 (8.1)</td>
<td valign="top" align="center">5 (7.6)</td>
<td valign="top" align="center">4 (8.6)</td>
</tr>
<tr>
<td valign="top" align="left">Cough, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0 (0)</td>
</tr>
<tr>
<td valign="top" align="left">Angio-edema, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0 (0)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF6"><p>ACEi/ARB, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers.</p></fn>
<fn id="TF7"><label><sup>a</sup></label>
<p>Intradialytic hypotension defined as decrease in systolic blood pressure &#x2265;20&#x2005;mmHg or mean blood pressure &#x2265;10&#x2005;mmHg during dialysis treatment with associated symptoms (cramping, headache, lightheadedness, vomiting, or chest pain) or need for intervention (reduction in ultrafiltration, administration of fluids or blood pump flow reduction).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>This study offers real-world evidence on the differential efficacy of SV vs. ACEi/ARB in MHD patients. While both treatments achieved effective BP control, only SV significantly reversed ventricular remodeling. Importantly, this differential effect was supported by a significant group&#x2009;&#x00D7;&#x2009;time interaction for LVMI in the ANOVA model. Crucially, this benefit occurred even in patients with a longer dialysis vintage, suggesting that SV exerts distinct cardioprotective effects in uremic cardiomyopathy.</p>
<p>Patients with ESRD exhibit a significantly elevated risk of cardiovascular mortality, primarily due to uremic cardiomyopathy. This condition is characterized by LVH, extensive fibrosis, and diastolic dysfunction (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). LVH is the most prevalent cardiovascular abnormality observed in CKD and ESRD, serving as the strongest independent predictor of cardiovascular mortality within this population (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). In patients undergoing MHD, such pathological ventricular remodeling is closely associated with chronic volume and pressure overload, as well as maladaptive neuroendocrine activation (<xref ref-type="bibr" rid="B13">13</xref>). In this context, our study demonstrates that SV significantly reduces LVMI, indicating a reversal of adverse remodeling. These results align with previous data from heart failure populations and recent meta-analyses in nephrology (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Importantly, our findings extend this evidence by providing retrospective real-world data specifically in hypertensive MHD patients. Notably, the association between SV treatment and LVMI reduction remained significant after multivariable adjustment in the linear regression model.</p>
<p>The superiority of SV in reducing LVMI likely reflects its dual mechanism of action. In addition to inhibiting the RAAS, SV also inhibits neprilysin, thereby enhancing the natriuretic peptide system (<xref ref-type="bibr" rid="B17">17</xref>). The natriuretic peptide system, particularly through atrial natriuretic peptide (ANP) and B-type natriuretic peptide (BNP), exerts multiple cardioprotective effects beyond their well-known diuretic and vasodilatory properties (<xref ref-type="bibr" rid="B29">29</xref>). These peptides directly inhibit cardiomyocyte hypertrophy by antagonizing the pro-hypertrophic signaling pathways activated by angiotensin II and endothelin-1. Additionally, natriuretic peptides suppress myocardial fibrosis by inhibiting cardiac fibroblast proliferation and reducing collagen synthesis. They also exert anti-inflammatory effects by modulating immune cell function and reducing myocardial inflammation. Furthermore, natriuretic peptides improve myocardial energetics by enhancing mitochondrial function and fatty acid oxidation in cardiomyocytes. Through this combined modulation of RAAS and natriuretic peptide pathways, SV can more comprehensively counteract key mechanisms of myocardial remodeling compared to ACEi or ARB therapy alone.</p>
<p>A critical finding of our study is the dissociation between blood pressure reduction and LVMI improvement. Although both regimens significantly reduced BP and the magnitude of SBP reduction was similar between groups, only SV led to significant regression of LVMI. In the dialysis population, blood pressure is strongly modulated by interdialytic volume status, dry-weight setting, and ultrafiltration, so clinic blood pressure is an imperfect surrogate for long-term hemodynamic load or myocardial stress (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Moreover, accumulating experimental and clinical data indicate that uremic cardiomyopathy is driven by non-hemodynamic mechanisms, such as inflammation, oxidative stress, and profibrotic signaling, which are inadequately addressed by standard RAAS blockade (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B31">31</xref>). By combining RAAS inhibition with augmentation of the natriuretic peptide system, sacubitril/valsartan more effectively targets these molecular pathways (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Given the significant prognostic impact of LVH in ESRD, our findings support a therapeutic shift in hypertensive MHD patients from a sole focus on achieving blood pressure targets toward actively reversing target-organ damage.</p>
<p>Safety remains a primary concern for nephrologists when prescribing RAAS inhibitors. In this study, both drug groups demonstrated good safety and tolerability. A total of 16 adverse events were reported. Symptomatic hypotension occurred in 7 cases (mostly during the initial titration) and was alleviated by adjusting dry weight and concomitant medications. Hyperkalemia occurred in 9 cases (4 in the SV group, 5 in the ACEi/ARB group). All cases were transient and rapidly corrected by dietary adjustments or optimizing dialysis, without leading to treatment interruption. The comparable incidence of hyperkalemia between groups is a reassuring finding for clinicians concerned about the safety of ARNI in anuric patients.</p>
</sec>
<sec id="s5"><title>Limitations</title>
<p>This study has several limitations. First, as a single-center retrospective study, the sample size is relatively limited, and selection bias or unmeasured confounding factors may exist. Specifically, the imbalance in dialysis vintage was noted; however, the fact that the group with longer disease duration achieved better remodeling outcomes strengthens the validity of the observed drug effect. Second, while a 6-month follow-up is sufficient to observe structural changes, it is insufficient to evaluate hard endpoints such as cardiovascular mortality. Third, we did not correct for multiplicity in our secondary endpoint analyses, and the multivariable regression model includes several covariates relative to the sample size, which introduces a risk of overfitting. Fourth, blood pressure was assessed using pre-dialysis measurements, which may not accurately reflect the interdialytic hemodynamic burden or the nocturnal blood pressure dipping. Furthermore, as a retrospective real-world study, examinations were performed by different sonographers without a formal assessment of inter-observer variability (ICC). This may introduce measurement variability. Finally, the echocardiographic assessment was conducted using conventional two-dimensional measurements. More advanced imaging modalities, such as speckle-tracking echocardiography and cardiac magnetic resonance imaging, were not routinely employed and could have offered a more comprehensive evaluation of ventricular remodeling.</p>
</sec>
<sec id="s6" sec-type="conclusions"><title>Conclusion</title>
<p>In conclusion, SV demonstrated significantly greater efficacy than ACEi/ARB therapy in reversing ventricular remodeling in MHD patients with hypertension. These findings support the utilization of SV as a therapeutic strategy for cardiovascular protection in the MHD population.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s13">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s8" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by the Youyang Hospital of The First Affiliated Hospital of Chongqing Medical University. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because the requirement for informed consent was waived due to the retrospective design.</p>
</sec>
<sec id="s9" sec-type="author-contributions"><title>Author contributions</title>
<p>LJ: Data curation, Methodology, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XM: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JR: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YZ: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. LP: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. BY: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XR: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YR: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HD: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JY: Conceptualization, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SW: Formal analysis, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s11" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The author(s) declared that this work 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) declared that generative AI was not 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.2026.1776823/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2026.1776823/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material xlink:href="Datasheet1.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/892480/overview">Maria Lorenza Muiesan</ext-link>, University of Brescia, Italy</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/887470/overview">Riccardo Sarzani</ext-link>, Marche Polytechnic University, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2839003/overview">Naiela Ennaji Almansouri</ext-link>, Libyan Biotechnology Research Center, Libya</p></fn>
</fn-group>
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