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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2025.1638380</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Trends in diagnostic testing in Medicare patients with wild-type transthyretin amyloid cardiomyopathy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Witteles</surname><given-names>Ronald M.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/></contrib>
<contrib contrib-type="author"><name><surname>Chung</surname><given-names>Haechung</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/></contrib>
<contrib contrib-type="author"><name><surname>Dai</surname><given-names>Feng</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3193967/overview"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Gutierrez</surname><given-names>Cynthia</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Rava</surname><given-names>Andrew</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2713529/overview" /><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/></contrib>
<contrib contrib-type="author"><name><surname>Swarup</surname><given-names>Sameer</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3167445/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/></contrib>
<contrib contrib-type="author"><name><surname>Ebrahim</surname><given-names>Abbas</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/></contrib>
<contrib contrib-type="author"><name><surname>Pankratova</surname><given-names>Cindi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Division of Cardiovascular Medicine and Stanford Amyloid Center, Stanford University School of Medicine</institution>, <addr-line>Stanford, CA</addr-line>, <country>United States</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Pfizer</institution>, <addr-line>New York, NY</addr-line>, <country>United States</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Genesis Research Group</institution>, <addr-line>Hoboken, NJ</addr-line>, <country>United States</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Clarify Health Solutions</institution>, <addr-line>New York, NY</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2054892/overview">Ricardo Mourilhe-Rocha</ext-link>, Rio de Janeiro State University, Brazil</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3109317/overview">Fabio de Souza</ext-link>, Federal University of the State of Rio de Janeiro, Brazil</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3135899/overview">Marcia Cruz</ext-link>, Federal University of Rio de Janeiro, Brazil</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Ronald M. Witteles <email>witteles@stanford.edu</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>29</day><month>10</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>12</volume><elocation-id>1638380</elocation-id>
<history>
<date date-type="received"><day>30</day><month>05</month><year>2025</year></date>
<date date-type="accepted"><day>17</day><month>09</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Witteles, Chung, Dai, Gutierrez, Rava, Swarup, Ebrahim and Pankratova.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Witteles, Chung, Dai, Gutierrez, Rava, Swarup, Ebrahim and Pankratova</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://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.</p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Most patients with wild-type transthyretin amyloid cardiomyopathy (ATTRwt-CM) are diagnosed noninvasively, using nuclear imaging and monoclonal protein testing. However, concerns have been raised that some may receive an ATTRwt-CM diagnosis based on incomplete evaluations (not based on current consensus recommendations). Using a cohort of US Medicare Fee-for-Service patients, we aimed to examine the frequency and cadence of diagnostic testing for ATTRwt-CM.</p>
</sec><sec><title>Methods</title>
<p>In this retrospective observational cross-sectional study, administrative de-identified claims data from 2018 to 2022 were derived from patients aged &#x2265;65 years who had at least one claim for ATTRwt-CM and heart failure or cardiomyopathy, and &#x2265;2 years of continuous Medicare enrollment before the first ATTRwt-CM diagnosis. Patients with claims for any other form of amyloidosis, multiple myeloma, or plasma cell dyscrasias were excluded.</p>
</sec><sec><title>Results</title>
<p>Among 2,050 patients with ATTRwt-CM, mean (SD) age was 80.0 (6.9) years, and 75.5&#x0025; were men. Annual new ATTRwt-CM diagnoses nearly tripled over the study period (2018, <italic>n</italic>&#x2009;&#x003D;&#x2009;198; 2022, <italic>n</italic>&#x2009;&#x003D;&#x2009;578). Technetium-99m pyrophosphate (PYP) scintigraphy use was performed in approximately half of diagnosed patients by the end of the study period (2018, 30&#x0025;; 2022, 49&#x0025;). Cardiac biopsy use declined from 14&#x0025; in patients diagnosed in 2018 to 5&#x0025; in those diagnosed in 2022. A small minority (14&#x0025;) of patients underwent the recommended noninvasive diagnostic testing comprised of PYP scintigraphy and complete monoclonal protein testing.</p>
</sec><sec><title>Conclusions</title>
<p>Based on Medicare claims data, most patients diagnosed with ATTRwt-CM have not been diagnosed following consensus-recommended pathways.</p>
</sec>
</abstract>
<kwd-group>
<kwd>amyloidosis</kwd>
<kwd>cardiomyopathy</kwd>
<kwd>diagnosis</kwd>
<kwd>heart failure</kwd>
<kwd>identification</kwd>
<kwd>transthyretin</kwd>
</kwd-group><counts>
<fig-count count="3"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="20"/><page-count count="7"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Heart Failure and Transplantation</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Transthyretin amyloid cardiomyopathy (ATTR-CM) is a systemic amyloidosis characterized by misfolding of the transthyretin (TTR) protein, resulting in the formation and deposition of insoluble amyloid fibrils in the interstitial space of the myocardium and other organs (<xref ref-type="bibr" rid="B1">1</xref>). This progressive, debilitating disease may stem from either mutations in the <italic>TTR</italic> gene (variant/hereditary ATTR-CM) or from a genetically normal, aging-related process [wild-type ATTR-CM (ATTRwt-CM)] (<xref ref-type="bibr" rid="B2">2</xref>). The clinical manifestations of ATTR-CM can extend across cardiac and noncardiac systems and can often overlap with signs/symptoms of more prevalent cardiac conditions, such as hypertensive heart disease, aortic stenosis, and hypertrophic cardiomyopathy (<xref ref-type="bibr" rid="B3">3</xref>), which can be an obstacle to achieving an accurate diagnosis. Fewer than half of patients with the disease receive an ATTR-CM diagnosis within 6 months of symptom onset (<xref ref-type="bibr" rid="B4">4</xref>). And misdiagnosis or delayed diagnosis can lead to continued amyloid deposition and worsening prognosis (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Important advances in ATTR-CM diagnosis have been achieved in recent years, due in part to the increased recognition of the clinical clues associated with ATTR-CM, its prevalence among older adults with heart failure, and the availability of a readily accessible and accurate noninvasive diagnostic approach to the disease. Beginning in 2016, a noninvasive pathway has been widely accepted for confirming a diagnosis of ATTR-CM in most patients, which requires a combination approach of bone scintigraphy and serum and urine studies to rule out the presence of a monoclonal protein (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). However, concerns have been raised that some patients may receive a diagnosis of ATTR-CM based on incomplete evaluations rather than evaluations based on established consensus recommendations (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>In the current study, conducted using a cohort of US Medicare Fee-for-Service (FFS) patients diagnosed with ATTR-CM, we explored the frequency and cadence of diagnostic testing that patients with ATTRwt-CM underwent in the 2 years prior to their diagnosis. In addition, we assessed the clinical comorbid conditions of patients with ATTR-CM in the prediagnosis period to help characterize the population. A plain language summary of this original research is included in the <xref ref-type="sec" rid="s12">Supplementary Materials</xref>.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Methods</title>
<sec id="s2a"><label>2.1</label><title>Study design</title>
<p>This noninterventional, retrospective cross-sectional study was conducted using administrative claims data from the Centers for Medicare &#x0026; Medicaid Services Medicare FFS database for the study period of January 1, 2016, to December 31, 2022. Medicare is a federal health insurance program in the United States designed to primarily serve residents aged 65 years and older, along with younger individuals who have specific health conditions. Beneficiaries generally contribute to their healthcare and prescription drug costs through various financial mechanisms, including deductibles, coinsurance, and premiums.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Eligibility criteria</title>
<p>De-identified claims data were included for patients who had at least one International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnosis code for ATTRwt-CM (E85.82) in the Medicare FFS database during the identification period between January 1, 2018 and December 31, 2022. Eligible patients also had at least one ICD-10-CM diagnosis code for heart failure (I50) or cardiomyopathy (I42 and I43) before the earliest date of ATTR-CM diagnosis code use during the identification period; were at least 65 years of age at diagnosis; lived in the United States; and had at least 2 years of continuous enrollment in Medicare Parts A, B, and D, with full medical and drug coverage prior to ATTR-CM diagnosis. Patients were excluded if they had an ICD-10 CM diagnosis code for amyloidosis other than wild-type ATTR-CM, including hereditary amyloidosis (E85.0, E85.1, E85.2), organ-limited amyloidosis (E85.4), other amyloidosis (E85.89), or unspecified amyloidosis (E85.9), in the database during the identification period. The other main exclusion criteria were designed to exclude patients with a diagnosis of light chain (AL) amyloidosis who may have been incorrectly coded with an ATTR amyloidosis code, including the presence of an ICD-10-CM code for AL amyloidosis (E85.81), multiple myeloma (C90.0), or a plasma cell dyscrasia (E88.09) during the study period, or a prescription claim for one or more of the following agents (identified using National Drug Codes) during the study period: bendamustine, bortezomib, carfilzomib, cyclophosphamide, daratumumab, elotuzumab, ixazomib, lenalidomide, melphalan, pomalidomide, thalidomide, or venetoclax.</p>
<p>The ICD-10-CM diagnosis codes used to identify diagnoses are listed in <xref ref-type="sec" rid="s12">Supplementary Table S1</xref>.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Assessments</title>
<p>Patient demographics were assessed at the time of ATTRwt-CM diagnosis. The most frequently observed comorbidities were assessed during the 2-year period prior to ATTRwt-CM diagnosis; these conditions were identified using ICD-10-CM diagnosis codes (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>). Diagnostic tests assessed at ATTR-CM diagnosis and during the 2-year period before diagnosis (defined as the baseline period) included technetium-99m pyrophosphate (<sup>99m</sup>Tc-PYP) bone scintigraphy; cardiac, bone marrow, or abdominal fat pad biopsy; monoclonal protein testing with serum and urine protein electrophoresis with and without immunofixation, serum-free light chain assay, and urine-free light chain assay with and without serum-free light chain assay. Diagnostic imaging, laboratory tests, and diagnostic procedures were categorized based on the Healthcare Cost and Utilization Project Clinical Classifications Software Refined. Coding used to identify diagnostic tests in patient claims is summarized in <xref ref-type="sec" rid="s12">Supplementary Table S2</xref>.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Statistical analysis</title>
<p>All patients satisfying eligibility criteria for ATTRwt-CM were included in analyses of demographics, comorbidities, and diagnostic tests. Data were handled and analyzed using SAS software, Version 9.4, or later (SAS Institute Inc., Cary, NC, USA). Data from all assessments were summarized using descriptive statistics. Diagnostic test data were also summarized for subgroups of patients stratified by the year of first diagnosis.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<sec id="s3a"><label>3.1</label><title>Patient disposition and baseline characteristics</title>
<p>Of 10,470 screened patients, 2,050 patients with ATTRwt-CM were eligible for analysis (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). Among analyzed patients with ATTRwt-CM, the median age was 80 years and the majority were men and White (76&#x0025; and 78&#x0025;, respectively; <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). Most were from the Northeast and Southern regions of the United States (30&#x0025; each).</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Disposition of patients With ATTRwt-CM. AL, light chain; ATTR-CM, transthyretin amyloid cardiomyopathy; ATTRwt-CM, wild-type transthyretin amyloid cardiomyopathy; ICD-10-CM, International Classification of Diseases, Tenth Revision, Clinical Modification.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1638380-g001.tif"><alt-text content-type="machine-generated">Flowchart depicting the screening process of patients from January 2018 to December 2022, starting with 10,470 screened patients. The chart divides into included patients (6,041) with specific criteria, and excluded patients (3,991) with other conditions. Ultimately, 2,050 analyzed patients with ATTRwt-CM remain.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Demographics and other patient characteristics at ATTRwt-CM diagnosis.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">Patients with ATTRwt-CM<break/><italic>n</italic> 2,050</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2">Age</td>
</tr>
<tr>
<td valign="top" align="left">Mean (SD), years</td>
<td valign="top" align="center">80.0 (6.9)</td>
</tr>
<tr>
<td valign="top" align="left">Median (range), years</td>
<td valign="top" align="center">80 (65&#x2013;102)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Sex, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">1,547 (75.5)</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">503 (24.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Race, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">White</td>
<td valign="top" align="center">1,599 (78.0)</td>
</tr>
<tr>
<td valign="top" align="left">Black</td>
<td valign="top" align="center">310 (15.1)</td>
</tr>
<tr>
<td valign="top" align="left">Asian</td>
<td valign="top" align="center">34 (1.7)</td>
</tr>
<tr>
<td valign="top" align="left">Hispanic</td>
<td valign="top" align="center">56 (2.7)</td>
</tr>
<tr>
<td valign="top" align="left">Indigenous</td>
<td valign="top" align="center">&#x003C;11<xref ref-type="table-fn" rid="table-fn1"><sup>a</sup></xref> (&#x003C;0.5)</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">48 (2.3)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">United States region, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Northeast</td>
<td valign="top" align="center">608 (29.7)</td>
</tr>
<tr>
<td valign="top" align="left">Midwest</td>
<td valign="top" align="center">441 (21.5)</td>
</tr>
<tr>
<td valign="top" align="left">West</td>
<td valign="top" align="center">371 (18.1)</td>
</tr>
<tr>
<td valign="top" align="left">South</td>
<td valign="top" align="center">624 (30.4)</td>
</tr>
<tr>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="center">&#x003C;11<xref ref-type="table-fn" rid="table-fn1"><sup>a</sup></xref> (&#x003C;0.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Year of diagnosis</td>
</tr>
<tr>
<td valign="top" align="left">2018</td>
<td valign="top" align="center">198 (9.7)</td>
</tr>
<tr>
<td valign="top" align="left">2019</td>
<td valign="top" align="center">297 (14.5)</td>
</tr>
<tr>
<td valign="top" align="left">2020</td>
<td valign="top" align="center">415 (20.2)</td>
</tr>
<tr>
<td valign="top" align="left">2021</td>
<td valign="top" align="center">552 (26.9)</td>
</tr>
<tr>
<td valign="top" align="left">2022</td>
<td valign="top" align="center">578 (28.2)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><label><sup>a</sup></label>
<p><italic>n</italic>&#x2009;&#x003C;&#x2009;11 are not shown for privacy protection (as required by the CMS).</p></fn>
<fn id="table-fn2"><p>ATTRwt-CM, wild-type transthyretin amyloid cardiomyopathy; CMS, Centers for Medicare &#x0026; Medicaid Services.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><label>3.2</label><title>Comorbid conditions in the baseline period</title>
<p>The prevalence of comorbid conditions associated with ATTR-CM during the 2-year period preceding ATTRwt-CM diagnosis is summarized in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. The most common cardiovascular comorbidities occurring in at least 50&#x0025; of patients were hypertensive diseases (77&#x0025;), heart failure (75&#x0025;), cardiac arrhythmias (69&#x0025;), and ischemic heart disease (61&#x0025;). The most common noncardiovascular comorbidities occurring in at least 30&#x0025; of patients were edema (43&#x0025;), chronic kidney disease (41&#x0025;), cataracts (36&#x0025;), pleural effusions (34&#x0025;), and acute kidney failure (30&#x0025;). Carpal tunnel syndrome, which can also occur as a consequence of ATTR-amyloid deposition, was present in 15&#x0025; of patients.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Comorbid conditions ranked by prevalence in the 2-year period before ATTRwt-CM diagnosis.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Comorbidity</th>
<th valign="top" align="center">Patients with ATTRwt-CM<break/><italic>n</italic>&#x2009;&#x003D;&#x2009;2,050</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2">Cardiovascular disorders, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertensive diseases</td>
<td valign="top" align="center">1,584 (77.3)</td>
</tr>
<tr>
<td valign="top" align="left">Heart failure</td>
<td valign="top" align="center">1,544 (75.3)</td>
</tr>
<tr>
<td valign="top" align="left">Cardiac arrhythmias</td>
<td valign="top" align="center">1,415 (69.0)</td>
</tr>
<tr>
<td valign="top" align="left">Ischemic heart disease</td>
<td valign="top" align="center">1,246 (60.8)</td>
</tr>
<tr>
<td valign="top" align="left">Cardiomyopathy</td>
<td valign="top" align="center">1,246 (60.8)</td>
</tr>
<tr>
<td valign="top" align="left">Diastolic dysfunction</td>
<td valign="top" align="center">1,154 (56.3)</td>
</tr>
<tr>
<td valign="top" align="left">Left ventricular hypertrophy</td>
<td valign="top" align="center">1,036 (50.5)</td>
</tr>
<tr>
<td valign="top" align="left">Conduction disorders</td>
<td valign="top" align="center">877 (42.8)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">788 (38.4)</td>
</tr>
<tr>
<td valign="top" align="left">Aortic stenosis</td>
<td valign="top" align="center">579 (28.2)</td>
</tr>
<tr>
<td valign="top" align="left">Cerebrovascular disease</td>
<td valign="top" align="center">572 (27.9)</td>
</tr>
<tr>
<td valign="top" align="left">Pacemaker or ICD</td>
<td valign="top" align="center">491 (24.0)</td>
</tr>
<tr>
<td valign="top" align="left">Peripheral vascular disease</td>
<td valign="top" align="center">408 (19.9)</td>
</tr>
<tr>
<td valign="top" align="left">Venous thrombosis</td>
<td valign="top" align="center">165 (8.1)</td>
</tr>
<tr>
<td valign="top" align="left">Orthostatic hypotension</td>
<td valign="top" align="center">147 (7.2)</td>
</tr>
<tr>
<td valign="top" align="left">Pulmonary embolism</td>
<td valign="top" align="center">85 (4.2)</td>
</tr>
<tr>
<td valign="top" align="left">Pericarditis</td>
<td valign="top" align="center">45 (2.2)</td>
</tr>
<tr>
<td valign="top" align="left">Heart transplant</td>
<td valign="top" align="center">24 (1.2)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Lymphatic disorders, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Edema</td>
<td valign="top" align="center">882 (43.0)</td>
</tr>
<tr>
<td valign="top" align="left">Periorbital purpura</td>
<td valign="top" align="center">321 (15.7)</td>
</tr>
<tr>
<td valign="top" align="left">Ascites</td>
<td valign="top" align="center">140 (6.8)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Renal disorders, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney disease</td>
<td valign="top" align="center">843 (41.1)</td>
</tr>
<tr>
<td valign="top" align="left">Acute kidney failure</td>
<td valign="top" align="center">622 (30.3)</td>
</tr>
<tr>
<td valign="top" align="left">Proteinuria</td>
<td valign="top" align="center">209 (10.2)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Eye disorders, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Vitreous opacities</td>
<td valign="top" align="center">380 (18.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Respiratory system disorder, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Pleural effusions</td>
<td valign="top" align="center">695 (33.9)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Muscular disorder, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Muscle weakness</td>
<td valign="top" align="center">427 (20.8)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Gastrointestinal disorders, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Constipation</td>
<td valign="top" align="center">416 (20.3)</td>
</tr>
<tr>
<td valign="top" align="left">Nausea/vomiting</td>
<td valign="top" align="center">309 (15.1)</td>
</tr>
<tr>
<td valign="top" align="left">Diarrhea</td>
<td valign="top" align="center">248 (12.1)</td>
</tr>
<tr>
<td valign="top" align="left">Early satiety</td>
<td valign="top" align="center">23 (1.1)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Nervous system disorders, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Peripheral neuropathy</td>
<td valign="top" align="center">414 (20.2)</td>
</tr>
<tr>
<td valign="top" align="left">Lumbar spinal stenosis</td>
<td valign="top" align="center">342 (16.7)</td>
</tr>
<tr>
<td valign="top" align="left">Carpal tunnel syndrome</td>
<td valign="top" align="center">307 (15.0)</td>
</tr>
<tr>
<td valign="top" align="left">Paresthesia</td>
<td valign="top" align="center">140 (6.8)</td>
</tr>
<tr>
<td valign="top" align="left">Autonomic neuropathy</td>
<td valign="top" align="center">78 (3.8)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Genitourinary disorders, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Erectile dysfunction</td>
<td valign="top" align="center">179 (8.7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn3"><p>ATTRwt-CM, wild-type transthyretin amyloid cardiomyopathy; ICD, implantable cardioverter defibrillator.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3c"><label>3.3</label><title>Diagnostic testing in patients with ATTRwt-Cm</title>
<p>The total number of new ATTRwt-CM diagnoses per year increased from 198 in 2018 to 578 in 2022 (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). Diagnostic imaging with <sup>99m</sup>Tc-PYP scintigraphy was performed in 30&#x0025; of patients with ATTRwt-CM at the start of the study period (2018) and 49&#x0025; at the end (2022) (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). Use of <sup>99m</sup>Tc-PYP scintigraphy was highest in 2020, when it was performed in 52&#x0025; of patients. The performance of cardiac biopsies in patients with ATTRwt-CM declined from 14&#x0025; in 2018 to 5&#x0025; in 2022.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Proportions of patients undergoing <sup>99m</sup>Tc-PYP scintigraphy and cardiac biopsy for ATTRwt-CM in the 2-year period before ATTRwt-CM diagnosis by diagnosis year. <sup>99m</sup>Tc-PYP, technetium-99m pyrophosphate scintigraphy; ATTRwt-CM, wild-type transthyretin amyloid cardiomyopathy.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1638380-g002.tif"><alt-text content-type="machine-generated">Line graph showing the proportion of patients with wild type ATTR-CM undergoing PYP scintigraphy (blue) and cardiac biopsy (yellow) from 2018-2022.</alt-text>
</graphic>
</fig>
<p>Across the study period, only 14&#x0025; of patients with ATTRwt-CM underwent the recommended noninvasive diagnostic testing (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>), comprised of <sup>99m</sup>Tc-PYP scintigraphy and complete monoclonal protein testing, defined as serum and urine protein electrophoresis with immunofixation and serum-free light chain assay. The recommended approach was followed in 9&#x0025; and 16&#x0025; of diagnosed patients in 2018 and 2022, respectively (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>). <sup>99m</sup>Tc-PYP scintigraphy was performed with incomplete monoclonal protein testing in 13&#x0025; and 24&#x0025; in 2018 and 2022, respectively, and without any monoclonal protein testing in 8&#x0025; and 9&#x0025;.</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Proportions of patients without <sup>99m</sup>Tc-PYP scintigraphy and with <sup>99m</sup>Tc-PYP scintigraphy who had complete, incomplete, and no monoclonal protein testing for ATTRwt-CM in the 2-year period before ATTRwt-CM diagnosis by diagnosis year. <sup>99m</sup>Tc-PYP, technetium-99m pyrophosphate scintigraphy; ATTRwt-CM, wild-type transthyretin amyloid cardiomyopathy.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1638380-g003.tif"><alt-text content-type="machine-generated">Bar chart showing proportion of patients undergoing PYP scintigraphy with complete, incomplete, or no monoclonal protein testing from 2018-2022.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>Based on the Medicare claims data analyzed in this study, although the incidence of ATTRwt-CM diagnosis nearly tripled from 2018 to 2022, only a small minority of patients received an ATTRwt-CM diagnosis during this time based on consensus-recommended pathways (<xref ref-type="bibr" rid="B9">9</xref>). The proportion of patients diagnosed with ATTRwt-CM who underwent <sup>99m</sup>Tc-PYP scintigraphy increased from approximately 30&#x0025; in 2018 to nearly 50&#x0025; in 2020 to 2022; however, this imaging was conducted in combination with complete monoclonal protein testing in no more than 16&#x0025; of patients per year during this period. This increase in PYP utilization is likely driven by multiple factors: greater awareness of ATTR-CM following the FDA approval of tafamidis in 2019, as well as increased education and dissemination of diagnostic algorithms (<xref ref-type="bibr" rid="B5">5</xref>). Given that cardiac biopsy was performed in only 5&#x0025; of patients with ATTRwt-CM in 2022, an ATTRwt-CM diagnosis appears to have been reached based on accepted guidelines in only one in five Medicare patients with the disorder. While access to these diagnostic tools for Medicare patients may vary by region, the national increase in scan use observed in our data suggests that these services have become more routinely accessible over time. The availability of approved therapies may have also contributed to more widespread adoption of diagnostic imaging in clinical practice.</p>
<p>Accepted diagnostic tools, i.e., <sup>99m</sup>Tc-PYP scintigraphy (irrespective of monoclonal testing) and cardiac biopsy, were used in only 44&#x0025; to 54&#x0025; of patients with an ATTRwt-CM diagnosis between 2018 and 2022. We could not determine the basis for the diagnosis in the remaining patients, but these findings suggest a need for additional research and education regarding current diagnostic algorithms for ATTR-CM, to ensure appropriate and timely diagnosis and initiation of treatment for optimal outcomes.</p>
<p>Our findings also suggest insufficient understanding of the role of comprehensive monoclonal protein testing with cardiac scintigraphy in establishing a diagnosis of ATTR-CM. Among all the Medicare patients included in our study, a complete monoclonal protein screen was performed with <sup>99m</sup>Tc-PYP scintigraphy in only 16&#x0025; of those diagnosed with ATTRwt-CM by the end of the study period. While monoclonal protein testing was incomplete in nearly 25&#x0025; of patients in 2022, it was not conducted at all in almost 10&#x0025;. Although cardiac scintigraphy is increasingly recognized as a cornerstone of noninvasive ATTR-CM diagnosis, cardiac uptake supporting a diagnosis of ATTR-CM (grade 2 or 3 uptake) may occur in 10&#x0025; of patients with AL amyloidosis, with grade 1 uptake occurring in an additional 29&#x0025; (<xref ref-type="bibr" rid="B10">10</xref>). Given that serum kappa and lambda-free light chain assays in combination with serum and urine immunofixation electrophoresis have &#x003E;99&#x0025; sensitivity for detecting AL amyloidosis (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>), a complete monoclonal protein screen is an indispensable component of the nonbiopsy ATTR-CM diagnostic pathway (<xref ref-type="bibr" rid="B7">7</xref>). Notably, 16&#x0025; of patients presented with periorbital purpura, a condition that can precede a diagnosis of amyloidosis (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Strengths of our study include the provision of insights into how patients with ATTRwt-CM are diagnosed in the real-world setting. Similar research was conducted by Bourque et al. using administrative claims from a Medicare FFS population (<xref ref-type="bibr" rid="B17">17</xref>) but was limited to a 2-year period ending in 2019; thus, examination of more recent patterns in diagnostic testing for ATTR-CM is needed, particularly given the growth of <sup>99m</sup>Tc-PYP scintigraphy as an accepted diagnostic tool in recent years. Secondary findings of our study have also allowed examination of the &#x201C;real-world&#x201D; demographics and comorbidities of a sizable population of patients with ATTRwt-CM. In addition, by limiting the population to patients with continuous Medicare A, B, and D coverage with full medical and drug coverage for at least 2 years prior to ATTRwt-CM diagnosis, it is likely that the vast majority of diagnostic laboratory and imaging studies and medication prescriptions were captured in the dataset.</p>
<p>Our study&#x0027;s limitations are primarily related to the use of administrative claims data. Claims data do not provide detailed clinical information and may contain inaccuracies in coding diagnoses, procedures, pharmacy claims, and other undetected confounders. Because ATTR-CM is uncommon, the disease and its subclassifications (wild type and variant) may not be well captured in administrative claims. Miscoding is also possible when using ICD-10-CM diagnosis and procedure codes to identify ATTR-CM diagnoses. For example, patients with AL amyloidosis may have been labeled as &#x201C;other amyloidosis&#x201D; or &#x201C;ATTR amyloidosis&#x201D;. However, to reduce the likelihood that patients with AL amyloidosis would be inadvertently included in the study, we excluded all patients with a concomitant diagnosis of plasma cell dyscrasia and who had received chemotherapy/immunotherapy commonly used to treat plasma cell dyscrasias. No data on biopsies following PYP test results are available in this dataset. In addition, the lack of a code for hereditary/variant disease may have resulted in patients with this subtype being included in the ATTRwt-CM cohort. Because only data from individuals with Medicare FFS health coverage were analyzed in this study, results may not be generalizable to patients with commercial health insurance or no health insurance coverage. Finally, because diagnostic testing patterns were examined only in patients who had been diagnosed with ATTR-CM, and not in patients who could have had ATTR-CM, the results of this study may not provide the full picture of the testing conducted in the underlying population.</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusions</title>
<p>Based on administrative claims data from 2018 to 2022, most Medicare patients with ATTRwt-CM did not receive a diagnosis based on accepted noninvasive diagnostic pathways. Improved understanding of these pathways, particularly pertaining to the requisite use of comprehensive monoclonal protein screens in combination with cardiac screening, is needed to improve ATTR-CM diagnosis in the clinical practice setting.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>Upon request, and subject to review, Pfizer will provide the data that support the findings of this study. Subject to certain criteria, conditions, and exceptions, Pfizer may also provide access to the related individual de-identified participant data. See <ext-link ext-link-type="uri" xlink:href="https://www.pfizer.com/science/clinical-trials/trial-data-and-results">https://www.pfizer.com/science/clinical-trials/trial-data-and-results</ext-link> for more information. Please direct any further enquiries to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>Institutional review board/independent ethics committee review was not required for this study because the study only used commercially available de-identified secondary data sources. As the data used in the study were in an anonymized structured format, which included no patient personal information, patient informed consent was also not required. The study was conducted in accordance with the Guidelines for Good Pharmacoepidemiology Practices of the International Society for Pharmacoepidemiology (<xref ref-type="bibr" rid="B18">18</xref>), Good Practices for Outcomes Research of the International Society for Pharmacoeconomics and Outcomes Research (<xref ref-type="bibr" rid="B19">19</xref>), and Good Research for Comparative Effectiveness Principles (<xref ref-type="bibr" rid="B20">20</xref>).</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>RW: Methodology, Writing &#x2013; review &#x0026; editing, Investigation, Supervision, Conceptualization. HC: Resources, Visualization, Project administration, Methodology, Supervision, Writing &#x2013; review &#x0026; editing, Conceptualization. FD: Visualization, Formal analysis, Resources, Methodology, Supervision, Writing &#x2013; review &#x0026; editing. CG: Data curation, Supervision, Methodology, Software, Conceptualization, Formal analysis, Writing &#x2013; review &#x0026; editing. AR: Supervision, Methodology, Conceptualization, Writing &#x2013; review &#x0026; editing, Software, Formal analysis, Data curation. SS: Writing &#x2013; review &#x0026; editing, Software, Methodology, Formal analysis, Data curation. AE: Methodology, Supervision, Writing &#x2013; review &#x0026; editing, Visualization. CP: Writing &#x2013; review &#x0026; editing, Visualization, Conceptualization, Supervision, Funding acquisition, Formal analysis, Methodology, Resources.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was sponsored by Pfizer, New York, New York, USA. Medical writing support was provided by Donna McGuire of Engage Scientific Solutions and funded by Pfizer.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>The authors thank Jose Maria Jimenez Alvir, DrPH, of Pfizer Inc., and Danielle Sienko, MS, of Genesis Research Group, for their valuable contributions to this research. The authors thank Donna McGuire of Engage Scientific Solutions for her support in writing the manuscript and manuscript submission. All listed authors (Ronald M. Witteles, Haechung Chung, Feng Dai, Cynthia Gutierrez, Andrew Rava, Sameer Swarup, Abbas Ebrahim, Cindi Pankratova) confirm that they are responsible for the authenticity and academic quality of the current manuscript. They are all aware of and agree to the peer review and publication process, and take full responsibility for the entire content of the article.</p>
</ack>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>RW has served as a paid adviser to Alexion, Alnylam, AstraZeneca, Bridge Bio, Novo Nordisk, and Pfizer. HC, FD, and CP are full-time employees of Pfizer and hold stock and/ or stock options. AE was an employee of Pfizer and held stock and/or stock options when the study was conducted and the manuscript developed. CG and AR are employees of Genesis Research Group. When the study was designed and conducted, SS was an employee of Clarify Health Solutions. The authors declare that this study received funding from Pfizer: Genesis Research Group received financial support from Pfizer for the design and conduct of this study. Clarify Health Solutions received financial support from Pfizer for the use of the Medicare claims database, consultation on study decisions, data collection, and data analysis. Medical writing support was funded by Pfizer. All authors were involved in the interpretation of data, the writing of this article, and the decision to submit it for publication.</p>
</sec>
<sec id="s11" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s13" 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="s12" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2025.1638380/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2025.1638380/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Datasheet1.pdf"/></supplementary-material>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="ab001"><p>AL, light chain; ATTR-CM, transthyretin amyloid cardiomyopathy; ATTRwt-CM, wild-type transthyretin amyloid cardiomyopathy; CMS, Centers for Medicare &#x0026; Medicaid Services; FFS, Fee-for-Service; ICD-10-CM, International Classification of Diseases, Tenth Revision, Clinical Modification; <sup>99m</sup>Tc-PYP, technetium-99m pyrophosphate; TTR, transthyretin.</p></fn>
</fn-group>
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