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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.2026.1659282</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>Regional and racial outcomes in mortality after atrial fibrillation ablation in medicare Fee for service patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Andukuri</surname><given-names>Venkata G.</given-names></name>
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<contrib contrib-type="author"><name><surname>Dilsaver</surname><given-names>Danielle B.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3295427/overview"/><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><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="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role></contrib>
<contrib contrib-type="author"><name><surname>Walters</surname><given-names>Ryan W.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2800418/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="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; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role></contrib>
<contrib contrib-type="author"><name><surname>Xu</surname><given-names>Liou</given-names></name>
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<contrib contrib-type="author"><name><surname>Puckrein</surname><given-names>Gary</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><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="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</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="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</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>Kim</surname><given-names>Michael H.</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/2086396/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</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="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</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><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="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</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="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Department of Medicine, Creighton University and CHI Health</institution>, <city>Omaha</city>, <state>NE</state>, <country country="us">United States</country></aff>
<aff id="aff2"><label>2</label><institution>National Minority Quality Forum</institution>, <city>Washington</city>, <state>DC</state>, <country country="us">United States</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Michael H. Kim <email xlink:href="mailto:MichaelKim@creighton.edu">MichaelKim@creighton.edu</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-09"><day>09</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>1659282</elocation-id>
<history>
<date date-type="received"><day>03</day><month>07</month><year>2025</year></date>
<date date-type="rev-recd"><day>09</day><month>01</month><year>2026</year></date>
<date date-type="accepted"><day>14</day><month>01</month><year>2026</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 Andukuri, Dilsaver, Walters, Xu, Puckrein and Kim.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>Andukuri, Dilsaver, Walters, Xu, Puckrein and Kim</copyright-holder><license><ali:license_ref start_date="2026-03-09">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>Catheter ablation of Atrial Fibrillation (AF) is a cornerstone of treatment. Data on regional and racial variations in AF ablation procedural mortality are limited.</p>
</sec><sec><title>Methods</title>
<p>Data were abstracted from the 2016&#x2013;2019 Medicare Fee for Service database (FFS), including inpatient and outpatient visits to evaluate regional and racial differences in 30-day AF ablation mortality in Medicare FFS patients. Patients with an AF diagnosis who had AF ablation were identified via ICD-10, CPT, and MS-DRG codes. The primary outcome was between-region (Northeast, Midwest, South, West) differences in 30-day mortality which was assessed using logistic regression models; multivariable models controlled for race, comorbid COPD, and CHA2DS2-VASc score.</p>
</sec><sec><title>Results</title>
<p>38,477 inpatient and 128,544 outpatient AF ablations met inclusion criteria. AF ablation was most common in the South (inpatient: 17,415, outpatient: 55,932) and least in the Northeast which had a 28&#x0025; lower adjusted odds of 30-day mortality following inpatient AF ablation compared to the South (NE: 1.75.&#x0025; vs. S: 2.55&#x0025;; aOR: 0.72, 95&#x0025; CI: 0.60&#x2013;0.88) and 23&#x0025; lower adjusted odds compared to the West (NE: 1.75&#x0025; vs. W: 2.30&#x0025;; aOR: 0.81, 95&#x0025; CI: 0.66&#x2013;0.99). In outpatients, the Northeast had 44&#x0025; lower adjusted odds of 30-day mortality compared to the West (NE: 0.15&#x0025; vs. W:0.25&#x0025;; aOR 0.56, 95&#x0025; CI: 0.36&#x2013;0.87) and the West had a 73&#x0025; greater odds of 30-day mortality compared to the South (W: 0.25&#x0025; vs. S: 0.16&#x0025;; aOR: 1.73, 95&#x0025; CI: 1.27&#x2013;2.36). Non-white patients had higher mortality in the outpatient cohort.</p>
</sec><sec><title>Conclusions</title>
<p>Within this Medicare FFS population, significant variations in mortality exist following AF ablation when analyzed across different regions and race. Further research on potential systemic and patient level factors would be of value to help elucidate why these differences are present.</p>
</sec>
</abstract>
<kwd-group>
<kwd>ablation</kwd>
<kwd>atrial fibrillation</kwd>
<kwd>medicare</kwd>
<kwd>mortality</kwd>
<kwd>outcomes</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="0"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="22"/><page-count count="7"/><word-count count="0"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Cardiac Rhythmology</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with an increased risk of stroke, heart failure and mortality (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Catheter ablation has become a significant evidence-based therapeutic option for the management of AF, particularly in patients with paroxysmal AF and is well supported by clinical trials, registry data, and guidelines (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Despite substantial benefits, catheter ablation carries inherent risks, including procedural mortality. Variation in mortality rates associated with AF ablation have been reported related to patient characteristics, procedural techniques, and operator experience (<xref ref-type="bibr" rid="B7">7</xref>). Data are limited regarding regional differences in mortality outcomes (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), inpatient or outpatient mortality variation (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>), and racial differences in AF ablation outcomes (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Higher AF ablation 30-day mortality has been noted in inpatients from 2010 to 2019 (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Since 2016, the majority of AF ablation procedures are performed in an outpatient classification. This study evaluated both inpatient and outpatient regional and racial differences in 30-day post-catheter ablation mortality among Medicare FFS patients in the United States.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<sec id="s2a"><title>Data source</title>
<p>Study data were abstracted from the 2016 through 2019 Medicare Fee for Service database (FFS), specifically the Medicare institutional claims files that include inpatient, outpatient, hospice, skilled nursing, and home health agency claims. The Medicare FFS database includes demographic, enrollment and payment information, diagnosis and procedure records, and survival data (<xref ref-type="bibr" rid="B12">12</xref>). The Medicare FFS is de-identified and HIPAA-compliant. The Institutional Review Board at Creighton University (Info record number: 2004394) acknowledged this study as Not Human Subjects Research.</p>
</sec>
<sec id="s2b"><title>Patient cohort</title>
<p>The Medicare patient cohort was identified using inpatient and outpatient files from the Medicare FFS institutional claims data. We included patients at least 18 years old carrying an AF diagnosis who underwent a catheter ablation for AF. First, we identified patients carrying a primary or secondary diagnosis of AF using International Classification of Diseases&#x2013;Tenth Revision&#x2013;Clinical Modification codes (ICD-10-CM: I48.0, I48.1, I48.2, or I48.91). For the inpatient AF cohort, we identified patients who had a primary discharge diagnosis for a percutaneous intracardiac procedure (MS-DRG: 273, 274) and who underwent an ablation procedure as indicated by a primary or secondary ICD-10 procedure code (ICD-10-PCS: 02583ZZ). For the outpatient AF cohort, we identified patients carrying a Current Procedural Terminology (CPT) code for atrial fibrillation (AF) ablation (CPT: 93656).</p>
<p>To ensure all ablations were specifically for AF, we excluded patients carrying a diagnosis of supraventricular tachycardia, ventricular tachycardia, atrial flutter, other premature beats, Wolf-Parkinson-White, Lown-Ganong-Levine, atrioventricular nodal tachycardia, and a history of pacemaker. Additionally, we excluded patients who underwent pacemaker implantation, implantable cardioverter-defibrillation implantation, and/or open surgical ablation on the same day as their ablation procedure (see <xref ref-type="sec" rid="s11">Supplementary Table S1</xref> for a complete list of inclusion/exclusion criteria).</p>
</sec>
<sec id="s2c"><title>Patient and visit characteristics</title>
<p>For each visit, we extracted patient-specific demographics that included age, biologic sex, and race (white, non-white, unknown). We calculated patient-specific CHA<sub>2</sub>DS<sub>2</sub>-VASc score that required age, biologic sex, acute myocardial infarction (AMI), congestive heart failure (CHF), hypertension (HTN), stroke, ischemic heart disease, peripheral vascular disease (PVD), and diabetes (<xref ref-type="bibr" rid="B13">13</xref>). We also extracted comorbid chronic obstructive pulmonary disease (COPD) and visit-specific characteristics including geographic region (Northeast, Midwest, South, West) (<xref ref-type="bibr" rid="B14">14</xref>) geographic division (New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain, Pacific) (<xref ref-type="bibr" rid="B14">14</xref>) and setting (inpatient, outpatient).</p>
</sec>
<sec id="s2d"><title>Aims</title>
<p>The primary aim was to evaluate regional differences in 30-day mortality following AF ablation; 30-day mortality was defined as death from any cause within 30 days after AF ablation. Mortality was confirmed from the Medicare denominator files (Medicare Master Beneficiary Summary File). To allow for consistent, complete 30-day post-ablation follow-up from year to year, the index period was the first 11 months of each calendar year (January 1&#x2013;November 30). The secondary aim was to evaluate between-race differences in 30-day mortality.</p>
</sec>
<sec id="s2e"><title>Statistical analysis</title>
<p>All analyses were assessed separately in the inpatient and outpatient settings as these coded AF ablations represent uniquely different populations.</p>
<p>First, we quantified the frequency of inpatient and outpatient AF ablation procedures among Medicare patients. Next, we stratified demographic and clinical characteristics by region. Categorical variables were presented as frequency and percent, and continuous variables were presented as mean and standard deviation. Between-region differences in categorical variables were compared using the chi-square test or Fisher&#x0027;s exact tests, depending on cell counts. Between-region differences in continuous variables were compared using one-way ANOVA. Unadjusted and adjusted logistic regression models were estimated to evaluate region and race differences in the odds of 30-day mortality. Adjusted logistic regression models controlled for race, comorbid COPD, and CHA<sub>2</sub>DS<sub>2</sub>-VASc score.</p>
<p>Analyses were conducted using SAS v. 9.4 with two-tailed <italic>p</italic>&#x2009;&#x003C;&#x2009;.05 indicating statistical significance.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Cohort characteristics</title>
<p>From 2016 to 2019, 38,477 inpatient and 128,544 outpatient AF ablation procedures met the inclusion criteria. <xref ref-type="table" rid="T1">Table&#x00A0;1</xref> presents the frequency of AF ablation by sex, race, geographic region, and geographic division in the inpatient and outpatient setting. The greatest number of AF ablation were performed in the South (inpatient: 17,415, outpatient: 55,932). Within the South, the South Atlantic geographic division performed the most AF ablation at 10,447 inpatients and 30,357 outpatients. AF ablation patients were more frequently male and white (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). <xref ref-type="table" rid="T2">Table&#x00A0;2</xref> presents age, sex, race, and comorbidities by geographic region. In the inpatient and outpatient setting, hypertension was the most frequent comorbidity, followed by ischemic heart disease and CHF (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). The average CHA<sub>2</sub>DS<sub>2</sub>-VASc score was 4.70 (SD: 1.51) and 3.91 (SD: 1.48) in the inpatient and outpatient settings, respectively (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Frequency of atrial fibrillation ablations.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Demographic characteristics</th>
<th valign="top" align="center">Inpatient</th>
<th valign="top" align="center">Outpatient</th>
</tr>
<tr>
<th valign="top" align="center"><italic>N</italic></th>
<th valign="top" align="center"><italic>N</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Overall</td>
<td valign="top" align="center">38,477</td>
<td valign="top" align="center">128,544</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3">Sex</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">21,989</td>
<td valign="top" align="center">74,661</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">16,488</td>
<td valign="top" align="center">53,883</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3">Race</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;White</td>
<td valign="top" align="center">33,780</td>
<td valign="top" align="center">119,068</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-white</td>
<td valign="top" align="center">3,973</td>
<td valign="top" align="center">6,135</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Unknown</td>
<td valign="top" align="center">724</td>
<td valign="top" align="center">3,341</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3">Region</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Northeast</td>
<td valign="top" align="center">7,987</td>
<td valign="top" align="center">18,186</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Midwest</td>
<td valign="top" align="center">7,863</td>
<td valign="top" align="center">26,460</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;South</td>
<td valign="top" align="center">17,415</td>
<td valign="top" align="center">55,932</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;West</td>
<td valign="top" align="center">5,212</td>
<td valign="top" align="center">27,966</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3">Division</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;New England</td>
<td valign="top" align="center">1,685</td>
<td valign="top" align="center">4,665</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Middle Atlantic</td>
<td valign="top" align="center">6,302</td>
<td valign="top" align="center">13,521</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;East North Central</td>
<td valign="top" align="center">5,667</td>
<td valign="top" align="center">18,369</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;West North Central</td>
<td valign="top" align="center">2,196</td>
<td valign="top" align="center">8,091</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;South Atlantic</td>
<td valign="top" align="center">10,447</td>
<td valign="top" align="center">30,357</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;East South Central</td>
<td valign="top" align="center">2,250</td>
<td valign="top" align="center">9,523</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;West South Central</td>
<td valign="top" align="center">4,724</td>
<td valign="top" align="center">16,052</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mountain</td>
<td valign="top" align="center">1,997</td>
<td valign="top" align="center">9,888</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Pacific</td>
<td valign="top" align="center">3,215</td>
<td valign="top" align="center">18,078</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Inpatient and outpatient atrial fibrillation ablation descriptives stratified by geographic region.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Patient characteristics</th>
<th valign="top" align="center"><italic>Overall</italic></th>
<th valign="top" align="center">Northeast</th>
<th valign="top" align="center">Midwest</th>
<th valign="top" align="center">South</th>
<th valign="top" align="center">West</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Inpatient, <italic>N</italic></td>
<td valign="top" align="center">38,477</td>
<td valign="top" align="center">7,987</td>
<td valign="top" align="center">7,863</td>
<td valign="top" align="center">17,415</td>
<td valign="top" align="center">5,212</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">73.20&#x2009;&#x00B1;&#x2009;8.66</td>
<td valign="top" align="center">72.86&#x2009;&#x00B1;&#x2009;8.53</td>
<td valign="top" align="center">72.94&#x2009;&#x00B1;&#x2009;8.77</td>
<td valign="top" align="center">73.28&#x2009;&#x00B1;&#x2009;8.66</td>
<td valign="top" align="center">73.86&#x2009;&#x00B1;&#x2009;8.61</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Biological Sex, &#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">21,989 (57.15)</td>
<td valign="top" align="center">4,787 (59.93)</td>
<td valign="top" align="center">4,434 (56.39)</td>
<td valign="top" align="center">9,741 (55.93)</td>
<td valign="top" align="center">3,027 (58.08)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">16,488 (42.85)</td>
<td valign="top" align="center">3,200 (40.07)</td>
<td valign="top" align="center">3,429 (43.69)</td>
<td valign="top" align="center">7,674 (44.07)</td>
<td valign="top" align="center">2,185 (41.92)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Race, &#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;White</td>
<td valign="top" align="center">33,780 (87.79)</td>
<td valign="top" align="center">6,933 (86.80)</td>
<td valign="top" align="center">7,094 (90.22)</td>
<td valign="top" align="center">15,212 (87.35)</td>
<td valign="top" align="center">4,541 (87.13)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-white</td>
<td valign="top" align="center">3,973 (10.33)</td>
<td valign="top" align="center">831 (10.40)</td>
<td valign="top" align="center">608 (7.78)</td>
<td valign="top" align="center">1,976 (11.35)</td>
<td valign="top" align="center">558 (10.71)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Unknown</td>
<td valign="top" align="center">724 (1.88)</td>
<td valign="top" align="center">223 (2.79)</td>
<td valign="top" align="center">161 (2.05)</td>
<td valign="top" align="center">227 (1.30)</td>
<td valign="top" align="center">113 (2.17)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Clinical Characteristics</td>
</tr>
<tr>
<td valign="top" align="left">CHA<sub>2</sub>DS<sub>2</sub>VASc Score</td>
<td valign="top" align="center">4.70&#x2009;&#x00B1;&#x2009;1.51</td>
<td valign="top" align="center">4.62&#x2009;&#x00B1;&#x2009;1.56</td>
<td valign="top" align="center">4.70&#x2009;&#x00B1;&#x2009;1.46</td>
<td valign="top" align="center">4.76&#x2009;&#x00B1;&#x2009;1.50</td>
<td valign="top" align="center">4.66&#x2009;&#x00B1;&#x2009;1.55</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Chronic Obstructive Pulmonary Disease, &#x0025;</td>
<td valign="top" align="center">13,229 (34.38)</td>
<td valign="top" align="center">2,414 (30.22)</td>
<td valign="top" align="center">2,988 (38.00)</td>
<td valign="top" align="center">6,200 (35.60)</td>
<td valign="top" align="center">1,627 (31.22)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Congestive Heart Failure, &#x0025;</td>
<td valign="top" align="center">26,582 (69.09)</td>
<td valign="top" align="center">5,261 (65.87)</td>
<td valign="top" align="center">5,688 (72.34)</td>
<td valign="top" align="center">12,008 (68.95)</td>
<td valign="top" align="center">3,625 (69.55)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Hypertension, &#x0025;</td>
<td valign="top" align="center">35,989 (93.53)</td>
<td valign="top" align="center">7,368 (92.25)</td>
<td valign="top" align="center">7,397 (94.07)</td>
<td valign="top" align="center">16,476 (94.61)</td>
<td valign="top" align="center">4,748 (91.10)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Stroke, &#x0025;</td>
<td valign="top" align="center">3,536 (9.19)</td>
<td valign="top" align="center">753 (9.43)</td>
<td valign="top" align="center">626 (7.96)</td>
<td valign="top" align="center">1,650 (9.47)</td>
<td valign="top" align="center">507 (9.73)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Ischemic Heart Disease, &#x0025;</td>
<td valign="top" align="center">29,227 (75.96)</td>
<td valign="top" align="center">6,056 (75.92)</td>
<td valign="top" align="center">5,985 (76.12)</td>
<td valign="top" align="center">13,428 (77.11)</td>
<td valign="top" align="center">3,758 (72.10)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Peripheral Vascular Disease, &#x0025;</td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Acute Myocardial Infarction, &#x0025;</td>
<td valign="top" align="center">2,418 (6.28)</td>
<td valign="top" align="center">497 (6.22)</td>
<td valign="top" align="center">538 (6.84)</td>
<td valign="top" align="center">1,095 (6.29)</td>
<td valign="top" align="center">288 (5.53)</td>
<td valign="top" align="center">0.026</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Diabetes, &#x0025;</td>
<td valign="top" align="center">16,286 (42.33)</td>
<td valign="top" align="center">3,440 (43.07)</td>
<td valign="top" align="center">3,330 (42.35)</td>
<td valign="top" align="center">7,485 (42.98)</td>
<td valign="top" align="center">2,031 (38.97)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7"/>
</tr>
<tr>
<td valign="top" align="left">Outpatient, N</td>
<td valign="top" align="center">128,544</td>
<td valign="top" align="center">18,186</td>
<td valign="top" align="center">26,460</td>
<td valign="top" align="center">55,932</td>
<td valign="top" align="center">27,966</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">71.93&#x2009;&#x00B1;&#x2009;6.22</td>
<td valign="top" align="center">71.53&#x2009;&#x00B1;&#x2009;6.26</td>
<td valign="top" align="center">71.27&#x2009;&#x00B1;&#x2009;6.20</td>
<td valign="top" align="center">72.08&#x2009;&#x00B1;&#x2009;6.22</td>
<td valign="top" align="center">72.51&#x2009;&#x00B1;&#x2009;6.16</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Biological Sex, &#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">74,661 (58.08)</td>
<td valign="top" align="center">10,730 (59.00)</td>
<td valign="top" align="center">15,378 (58.12)</td>
<td valign="top" align="center">32,029 (57.26)</td>
<td valign="top" align="center">16,524 (59.09)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">53,883 (41.92)</td>
<td valign="top" align="center">7,456 (41.00)</td>
<td valign="top" align="center">11,082 (41.88)</td>
<td valign="top" align="center">23,903 (42.74)</td>
<td valign="top" align="center">11,442 (40.91)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Race, &#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;White</td>
<td valign="top" align="center">119,068 (92.63)</td>
<td valign="top" align="center">16,638 (91.49)</td>
<td valign="top" align="center">24,824 (93.82)</td>
<td valign="top" align="center">52,068 (93.09)</td>
<td valign="top" align="center">25,538 (91.32)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-white</td>
<td valign="top" align="center">6,135 (4.77)</td>
<td valign="top" align="center">862 (4.74)</td>
<td valign="top" align="center">872 (3.30)</td>
<td valign="top" align="center">2,750 (4.92)</td>
<td valign="top" align="center">1,651 (5.90)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Unknown</td>
<td valign="top" align="center">3,341 (2.60)</td>
<td valign="top" align="center">686 (3.77)</td>
<td valign="top" align="center">764 (2.89)</td>
<td valign="top" align="center">1,114 (1.99)</td>
<td valign="top" align="center">777 (2.78)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Clinical Characteristics</td>
</tr>
<tr>
<td valign="top" align="left">CHA<sub>2</sub>DS<sub>2</sub>VASc Score</td>
<td valign="top" align="center">3.91&#x2009;&#x00B1;&#x2009;1.48</td>
<td valign="top" align="center">3.89&#x2009;&#x00B1;&#x2009;1.51</td>
<td valign="top" align="center">3.83&#x2009;&#x00B1;&#x2009;1.45</td>
<td valign="top" align="center">4.03&#x2009;&#x00B1;&#x2009;1.46</td>
<td valign="top" align="center">3.77&#x2009;&#x00B1;&#x2009;1.51</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Chronic Obstructive Pulmonary Disease, &#x0025;</td>
<td valign="top" align="center">22,141 (17.22)</td>
<td valign="top" align="center">3,074 (16.90)</td>
<td valign="top" align="center">4,849 (18.33)</td>
<td valign="top" align="center">10,295 (18.41)</td>
<td valign="top" align="center">3,923 (14.03)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Congestive Heart Failure, &#x0025;</td>
<td valign="top" align="center">55,283 (43.01)</td>
<td valign="top" align="center">7,284 (40.05)</td>
<td valign="top" align="center">10,926 (41.29)</td>
<td valign="top" align="center">22,494 (40.22)</td>
<td valign="top" align="center">10,579 (37.83)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Hypertension, &#x0025;</td>
<td valign="top" align="center">110,338 (85.84)</td>
<td valign="top" align="center">15,400 (84.68)</td>
<td valign="top" align="center">22,570 (85.30)</td>
<td valign="top" align="center">49,750 (88.95)</td>
<td valign="top" align="center">22,618 (80.88)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Stroke, &#x0025;</td>
<td valign="top" align="center">7,957 (6.19)</td>
<td valign="top" align="center">1,171 (6.44)</td>
<td valign="top" align="center">1,329 (5.02)</td>
<td valign="top" align="center">3,681 (6.58)</td>
<td valign="top" align="center">1,776 (6.35)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Ischemic Heart Disease, &#x0025;</td>
<td valign="top" align="center">78,352 (60.95)</td>
<td valign="top" align="center">11,423 (62.81)</td>
<td valign="top" align="center">15,796 (59.70)</td>
<td valign="top" align="center">36,089 (64.52)</td>
<td valign="top" align="center">15,044 (53.79)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Peripheral Vascular Disease, &#x0025;</td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Acute Myocardial Infarction, &#x0025;</td>
<td valign="top" align="center">3,064 (2.38)</td>
<td valign="top" align="center">342 (1.88)</td>
<td valign="top" align="center">473 (1.79)</td>
<td valign="top" align="center">881 (1.58)</td>
<td valign="top" align="center">368 (1.32)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid Diabetes, &#x0025;</td>
<td valign="top" align="center">37,164 (28.91)</td>
<td valign="top" align="center">5,473 (30.09)</td>
<td valign="top" align="center">7,517 (28.41)</td>
<td valign="top" align="center">17,258 (30.86)</td>
<td valign="top" align="center">6,916 (24.73)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><label><sup>a</sup></label>
<p>indicates a result could not be presented due to insufficient counts per the CMS Data Use Agreement.</p></fn>
<fn id="TF2"><p>Categorical variables were presented as count (percent) and compared via chi-square or Fisher&#x0027;s exact test.</p></fn>
<fn id="TF3"><p>Continuous descriptives were presented as mean&#x2009;&#x00B1;&#x2009;standard deviation and compared via one-way ANOVA.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Patients receiving inpatient AF ablations in the Northeast and West had lower CHA<sub>2</sub>DS<sub>2</sub>VASc scores compared to the Midwest and South (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; Northeast: 4.62&#x2009;&#x00B1;&#x2009;1.56, West: 4.66&#x2009;&#x00B1;&#x2009;1.55, Midwest: 4.70&#x2009;&#x00B1;&#x2009;1.46, South: 4.76&#x2009;&#x00B1;&#x2009;1.50). Notably, the West had the lowest rate of comorbid HTN, ischemic heart disease, AMI, and diabetes among inpatient AF ablation patients (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). Similarly, in the outpatient setting, patients receiving care in the West had the lowest CHA<sub>2</sub>DS<sub>2</sub>VASc scores (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; West: 3.77&#x2009;&#x00B1;&#x2009;1.51, Northeast: 3.89&#x2009;&#x00B1;&#x2009;1.51, Midwest: 3.83&#x2009;&#x00B1;&#x2009;1.45, South: 4.03&#x2009;&#x00B1;&#x2009;1.46). The rate of COPD, CHF, HTN, ischemic heart disease, AMI, and diabetes were lowest in patients receiving outpatient AF ablations in the West (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
</sec>
<sec id="s3b"><title>Regional and racial differences in 30-day mortality</title>
<p><xref ref-type="table" rid="T3">Table&#x00A0;3</xref> presents the 30-day mortality associated with AF ablation by sex, race, geographic region, and geographic division in the inpatient and outpatient setting. The outcome of biological sex differences was not a focus of our study, however, an increased inpatient 30-day mortality was noted among males compared to females.</p>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>30-day mortality following atrial fibrillation ablation by patient descriptives.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Demographic characteristics</th>
<th valign="top" align="center" colspan="3">Inpatient</th>
<th valign="top" align="center" colspan="3">Outpatient</th>
</tr>
<tr>
<th valign="top" align="center"><italic>N</italic></th>
<th valign="top" align="center"><italic>&#x0025;</italic></th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center"><italic>N</italic></th>
<th valign="top" align="center"><italic>&#x0025;</italic></th>
<th valign="top" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Overall</td>
<td valign="top" align="center">879</td>
<td valign="top" align="center">2.28</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">243</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Sex</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">567</td>
<td valign="top" align="center">2.58</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">152</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.158</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">312</td>
<td valign="top" align="center">1.89</td>
<td valign="top" align="center"/>
<td valign="top" align="center">91</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Race</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;White</td>
<td valign="top" align="center">752</td>
<td valign="top" align="center">2.23</td>
<td valign="top" align="center">0.095</td>
<td valign="top" align="center">212</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-white</td>
<td valign="top" align="center">110</td>
<td valign="top" align="center">2.77</td>
<td valign="top" align="center"/>
<td valign="top" align="center">22</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Unknown</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2.35</td>
<td valign="top" align="center"/>
<td valign="top" align="center">9.00</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Region</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Northeast</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">1.75</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.026</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Midwest</td>
<td valign="top" align="center">175</td>
<td valign="top" align="center">2.23</td>
<td valign="top" align="center"/>
<td valign="top" align="center">52</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;South</td>
<td valign="top" align="center">444</td>
<td valign="top" align="center">2.55</td>
<td valign="top" align="center"/>
<td valign="top" align="center">92</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;West</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">2.30</td>
<td valign="top" align="center"/>
<td valign="top" align="center">71</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Division</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;New England</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">2.37</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF4"><sup>a</sup></xref></td>
<td valign="top" align="center"><xref ref-type="table-fn" rid="TF4"><sup>a</sup></xref></td>
<td valign="top" align="center">0. 136</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Middle Atlantic</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">1.59</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;East North Central</td>
<td valign="top" align="center">121</td>
<td valign="top" align="center">2.14</td>
<td valign="top" align="center"/>
<td valign="top" align="center">35</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;West North Central</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">2.46</td>
<td valign="top" align="center"/>
<td valign="top" align="center">17</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;South Atlantic</td>
<td valign="top" align="center">254</td>
<td valign="top" align="center">2.43</td>
<td valign="top" align="center"/>
<td valign="top" align="center">48</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;East South Central</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">3.33</td>
<td valign="top" align="center"/>
<td valign="top" align="center">20</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;West South Central</td>
<td valign="top" align="center">115</td>
<td valign="top" align="center">2.43</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mountain</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">2.40</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Pacific</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">2.24</td>
<td valign="top" align="center"/>
<td valign="top" align="center">47</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF4"><label><sup>a</sup></label>
<p>indicates the result could not be presented due to insufficient counts per the CMS Data Use Agreement.</p></fn>
<fn id="TF5"><p>Categorical variables were compared via chi-square tests.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3c"><title>Inpatient</title>
<p>Of the inpatient AF ablation patients, 2.28&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;879) died within 30 days of their procedure. The Northeast had the lowest mortality rate following inpatient AF ablation at 1.75&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;140), followed by the Midwest at 2.23&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;175) and the West at 2.30&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;120). The South had the highest mortality rate at 2.55&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;444). Adjusted for race, comorbid COPD, and CHA<sub>2</sub>DS<sub>2</sub>-VASc score, patients undergoing AF ablation in the Northeast had 28&#x0025; lower adjusted odds of 30-day mortality compared to patients treated in the South (<italic>N</italic>E: 1.75.&#x0025; vs. S: 2.55&#x0025;; aOR: 0.72, 95&#x0025; CI: 0.60&#x2013;0.88, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.001; <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>) as well as a 23&#x0025; lower adjusted odds of 30-day mortality compared to patients undergoing AF ablation in the West (NE: 1.75&#x0025; vs. W: 2.30&#x0025;; aOR: 0.81, 95&#x0025; CI: 0.66&#x2013;0.99, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.036; <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>). The adjusted odds of 30-day mortality following inpatient AF ablation were statistically similar between the Northeast and Midwest, Midwest and South, West and South, and Midwest and West (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
<table-wrap id="T4" position="float"><label>Table&#x00A0;4</label>
<caption><p>Adjusted odds of 30-day mortality following atrial fibrillation ablation by region and race.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Comparison of Inpatient/Outpatient</th>
<th valign="top" align="center">Unadjusted Rate</th>
<th valign="top" align="center">Adjusted Odds Ratio (95&#x0025; CI), <italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3">Inpatient</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3">Region</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Northeast v. South</td>
<td valign="top" align="center">1.75&#x0025; vs. 2.55&#x0025;</td>
<td valign="top" align="center">0.72 (0.60&#x2013;0.88), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Midwest v. South</td>
<td valign="top" align="center">2.23&#x0025; vs. 2.55&#x0025;</td>
<td valign="top" align="center">0.88 (0.74&#x2013;1.05), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.162</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;West v. South</td>
<td valign="top" align="center">2.30&#x0025; vs. 2.55&#x0025;</td>
<td valign="top" align="center">0.94 (0.77&#x2013;1.15), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.559</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Northeast v. West</td>
<td valign="top" align="center">1.75&#x0025; vs. 2.30&#x0025;</td>
<td valign="top" align="center">0.77 (0.60&#x2013;0.99), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.038</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Midwest v. West</td>
<td valign="top" align="center">2.23&#x0025; vs. 2.30&#x0025;</td>
<td valign="top" align="center">0.94 (0.74&#x2013;1.19), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.584</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Northeast v. Midwest</td>
<td valign="top" align="center">1.75&#x0025; vs. 2.23&#x0025;</td>
<td valign="top" align="center">0.82 (0.66&#x2013;1.03), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.088</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3">Race</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-white v. White</td>
<td valign="top" align="center">2.77&#x0025; vs. 2.23&#x0025;</td>
<td valign="top" align="center">1.17 (0.96&#x2013;1.44), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.123</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3">Outpatient</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3">Region</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Northeast v. South</td>
<td valign="top" align="center">0.15&#x0025; vs. 0.16&#x0025;</td>
<td valign="top" align="center">0.97 (0.64&#x2013;1.49), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.898</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Midwest v. South</td>
<td valign="top" align="center">0.20&#x0025; vs. 0.16&#x0025;</td>
<td valign="top" align="center">1.30 (0.92&#x2013;1.82), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.136</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;West v. South</td>
<td valign="top" align="center">0.25&#x0025; vs. 0.16&#x0025;</td>
<td valign="top" align="center">1.73 (1.27&#x2013;2.36), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Northeast v. West</td>
<td valign="top" align="center">0.15&#x0025; vs. 0.25&#x0025;</td>
<td valign="top" align="center">0.56 (0.36&#x2013;0.87), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.010</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Midwest v. West</td>
<td valign="top" align="center">0.20&#x0025; vs. 0.25&#x0025;</td>
<td valign="top" align="center">0.75 (0.52&#x2013;1.08), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.118</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Northeast v. Midwest</td>
<td valign="top" align="center">0.15&#x0025; vs. 0.20&#x0025;</td>
<td valign="top" align="center">0.75 (0.47&#x2013;1.19), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.221</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="3">Race</td>
</tr>
<tr>
<td valign="top" align="left">Non-white v. White</td>
<td valign="top" align="center">0.36&#x0025; vs. 0.18&#x0025;</td>
<td valign="top" align="center">1.73 (1.11&#x2013;2.69), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.016</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF6"><p>CI, Confidence Interval. Reference group follows &#x2018;v.&#x0027;.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The 30-day mortality following inpatient AF ablation was 2.23&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;752) for white patients and 2.77&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;110) for non-white patients. After adjusting for region, comorbid COPD, and CHA<sub>2</sub>DS<sub>2</sub>-VASc score, the adjusted odds of 30-day mortality following inpatient AF ablation were statistically similar between non-white and white patients (Non-white: 2.77&#x0025; vs. White: 2.23&#x0025;; aOR: 1.17, 95&#x0025; CI: 0.96&#x2013;1.44, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.123; <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
</sec>
<sec id="s3d"><title>Outpatient</title>
<p>Of outpatient AF ablation patients, 0.19&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;243) died within 30 days of their procedure. The Northeast had the lowest mortality rate following outpatient AF ablations at 0.15&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;28), followed by the South at 0.16&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;92). The West and Midwest had highest 30-day mortality following outpatient AF ablation at 0.25&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;71) and 0.20&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;52), respectively. After adjusting for race, comorbid COPD, and CHA<sub>2</sub>DS<sub>2</sub>-VASc score, patients treated in the Northeast were associated with 44&#x0025; lower adjusted odds of 30-day mortality compared to patients undergoing outpatient AF ablation in the West (aOR 0.56, 95&#x0025; CI: 0.36&#x2013;0.87, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.01; <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>). Patients who received an outpatient AF ablation in the West had 73&#x0025; greater adjusted odds of 30-day mortality compared to patients treated in the South (aOR: 1.73, 95&#x0025; CI: 1.27&#x2013;2.36, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>). The adjusted odds of 30-day mortality following an outpatient AF ablation were statistically similar between the Northeast and South, Midwest and South, Midwest and West, and Northeast and Midwest (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
<p>The 30-day mortality following outpatient AF ablation was 0.18&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;212) for white patients and 0.36&#x0025; (<italic>N</italic>&#x2009;&#x003D;&#x2009;22) for non-white patients. After adjusting for region, comorbid COPD, and CHA<sub>2</sub>DS<sub>2</sub>-VASc score, compared to white patients, non-white patients were associated with 73&#x0025; greater odds of 30-day mortality following outpatient AF ablation (aOR: 1.73, 95&#x0025; CI: 1.11&#x2013;2.69, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.016; <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>This study provided additional data on regional and racial differences in AF ablation procedural mortality, both in inpatient and outpatient settings, with stratification by geographic region and divisions and patient demographics in an older, Medicare FFS population. The South region performed the largest number of procedures yet was associated with higher mortality rates. Conversely, the Northeast region performed the fewest procedures and was associated with lower mortality rates. Non-white AF ablation patients had worse mortality in the outpatient cohort. The presence of these significant differences across regions and race is the main finding rather than the actual comparative numbers between regions. These differences highlight the need for an evaluation or discussion of potential reasons for such outcome variation. There may be potential systemic differences in care delivery, access to care, patient selection or population specific burden of comorbidities, performance of AF ablation procedures especially in high volume AF ablation centers, disparities in healthcare, socioeconomic factors, or other unknown confounders.</p>
<p>Both inpatient and outpatient procedures demonstrated unique risk profiles, with inpatient settings generally associated with higher complication and mortality rates. The coding of either inpatient or outpatient status may also reflect system practice patterns or patient specific factors of higher risk. These differences emphasize the need for tailored strategies to address specific risks in each procedural setting.</p>
<p>Within the US, there have been limited data describing the regional differences in 30-day mortality after AF ablation (<xref ref-type="bibr" rid="B8">8</xref>). Regional disparities in outcomes may reflect differences in healthcare infrastructure, availability of specialized care, and follow-up practices (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Previous studies have linked procedural outcomes to healthcare system characteristics, with higher volume centers and experienced operators showing significantly better outcomes (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Potential disparities in early diagnosis, delay in treatment of AF, institutional resources, and equitable access to care both prior to and after ablation may have led to worse outcomes and increased 30-day mortality.</p>
<p>Differences in patient demographics and comorbid conditions across regions can influence outcomes. This Medicare FFS study population was older than reported in clinical trials and national registry data (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Patients in the South had higher rates of comorbid conditions, such as hypertension (94.61&#x0025; inpatient, 88.95&#x0025; outpatient) and diabetes (42.98&#x0025; inpatient, 30.86&#x0025; outpatient). The CHA<sub>2</sub>DS<sub>2</sub>-VASc scores which predict stroke risk in AF patients, were higher in the South. Higher CHA<sub>2</sub>DS<sub>2</sub>-VASc scores and comorbidities such as COPD, hypertension and diabetes, particularly prevalent in the South region, may have contributed to the higher mortality rates observed in this region, even with adjustment of CHA<sub>2</sub>DS<sub>2</sub>-VASc. These findings align with those from Cheng et al. (<xref ref-type="bibr" rid="B7">7</xref>), who reported that multiple comorbidities significantly increase risks of adverse events following AF ablation. Unmeasured comorbidities or other confounders may also have played a significant role in outcomes.</p>
<p>Using the Nationwide Inpatient Sample database of 20,085 patients from 2016 to 2019, Aggarwal et al. (<xref ref-type="bibr" rid="B11">11</xref>), reported higher in-hospital mortality in black patients with heart failure and preserved ejection fraction following AF ablation. In the current study, non-white patients had higher unadjusted 30-day mortality rates for both inpatient (2.77&#x0025;) and outpatient (0.36&#x0025;) procedures compared to white patients. After adjustment for CHA<sub>2</sub>DS<sub>2</sub>-VASc, the difference was non-significant in the inpatient setting. In the outpatient coded AF ablation procedures, the increased risk for non-white patients was significant (adjusted OR: 1.73, 95&#x0025; CI: 1.11&#x2013;2.69, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.016). Racial disparities in cardiovascular care and outcomes are prevalent. In the prospective ARIC study by Magnani et al. (<xref ref-type="bibr" rid="B18">18</xref>), the outcome of AF on the rates of stroke, heart failure (HF), CHD, and mortality was worse in black individuals compared to white individuals. A study by Bhatia et al. (<xref ref-type="bibr" rid="B19">19</xref>) showed that non-white patients with HF and AF had a disproportionately higher risk of inpatient death compared with white patients with HF, and there was a significant underutilization of cardioversion and catheter ablation in minority racial groups compared with white patients. Furthermore, Alhuneafat et al. (<xref ref-type="bibr" rid="B20">20</xref>) reported that black patients undergoing catheter ablation for AF had higher rates of complications and mortality compared to other patients potentially due to differences in comorbidities and access to care.</p>
<p>This study evaluated Medicare FFS data from all 50 states and the District of Columbia and found AF ablation utilization rates varied substantially from 0.1&#x0025; to 1.18&#x0025; and 30-day mortality post-ablation ranged from 0 to 1.21&#x0025;. These findings could not be analyzed statistically on a state-by-state comparison.</p>
<p>The cost of AF is a significant economic burden worldwide. In addition to the direct cost of AF, individuals with AF have incrementally increased healthcare costs to non-AF cardiovascular and non-cardiovascular expenditures (<xref ref-type="bibr" rid="B21">21</xref>). AF ablation has increasing data supporting not only clinical benefit but also beneficial effects in cost-efficiency for managing AF through the reduction of healthcare resource utilization (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<sec id="s4a"><title>Limitations</title>
<p>Despite using inpatient and outpatient data and performing adjustments, the study lacked patient-level data (NYHA class, ejection fraction, medications) and only included older, Medicare FFS patients, which is not fully representative of the AF ablation population. In addition, the Medicare FFS beneficiary files did not include the Medicare Advantage population that has grown significantly in recent years and may limit the generalizability of these findings to the broader Medicare population. The incorporation of Medicare Advantage data in future research would be of value. Regional differences in care could involve other confounding variables and system processes of care that could not be fully adjusted nor measured. Data on non-white patients could not be further sub-categorized due to small numbers. Due to data limitations, race and ethnicity may be conflated. Hispanic patients may be captured in either the white or non-white race categories.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>In summary, this study reveals significant regional and racial disparities in 30-day mortality following AF ablation procedures in Medicare FFS patients. AF ablation is a proven treatment, however, if not applied evenly across a population, this may result in disparities in care and differential outcomes. These data represent another report of increased mortality from real world data which is not seen in clinical trials, NCDR Registry, or clinical centers of excellence (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Clinical trial and registry data demonstrate that the procedure is safe and effective where applied. Real-world data, however, in the Medicare FFS population demonstrate outcomes variation that may help to inform further research on disparate outcomes possibly related to systemic and patient-level factors in different regions.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>Medicare Fee-for-Service (FFS) data can be acquired through the Centers for Medicare &#x0026; Medicaid Services (CMS) via their Research Data Assistance Center (ResDac). More information can be found at <ext-link ext-link-type="uri" xlink:href="https://resdac.org/cms-fee-information-research-identifiable-data">https://resdac.org/cms-fee-information-research-identifiable-data</ext-link>.</p>
</sec>
<sec id="s7" sec-type="author-contributions"><title>Author contributions</title>
<p>VA: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. DD: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Formal analysis, Methodology. RW: Formal analysis, Methodology, Writing &#x2013; review &#x0026; editing, Investigation. LX: Formal analysis, Investigation, Methodology, Writing &#x2013; review &#x0026; editing, Resources. GP: Formal analysis, Investigation, Methodology, Resources, Writing &#x2013; review &#x0026; editing. MK: Investigation, Methodology, Resources, Writing &#x2013; review &#x0026; editing, Conceptualization, Project administration, Validation, Writing &#x2013; original draft.</p>
</sec>
<sec id="s9" 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="s10" 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="s12" 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="s11" 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.2026.1659282/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2026.1659282/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/1895895/overview">Massimiliano Marini</ext-link>, Ospedale Santa Chiara, 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/2853778/overview">Giuseppe Giunta</ext-link>, Sapienza University of Rome, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3102565/overview">Nick Williams</ext-link>, National Institute of Nursing Research, United States</p></fn>
<fn fn-type="abbr" id="abbrev1"><p><bold>Abbreviations</bold> AF, Atrial Fibrillation; AMI, Acute Myocardial Infarction; aOR, Adjusted Odds Ratio; CHF, Congestive Heart Failure; CI, Confidence Interval; COPD, Chronic Obstructive Pulmonary Disease; CMS, Centers for Medicare &#x0026; Medicaid Services; CPT, Current Procedural Terminology; HTN, Hypertension; ICD-10, International Classification of Diseases, Tenth Revision; MS-DRG, Medicare Severity-Diagnosis Related Group; Medicare FFS, Medicare Fee For Service; PVD, Peripheral Vascular Disease.</p></fn>
</fn-group>
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