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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2025.1643514</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>Ethnic disparities in patients with early-onset Alzheimer&#x2019;s disease (EOAD)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Meredith</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/650353"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yoon</surname>
<given-names>Suemin Jasmine</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<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>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Taruc</surname>
<given-names>Kristen</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<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="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Timpo</surname>
<given-names>Phyllis</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Mastrianni</surname>
<given-names>James</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2240703"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Seibert</surname>
<given-names>Kaitlin</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1551491"/>
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</contrib-group>
<aff id="aff1"><label>1</label><institution>Pritzker School of Medicine, University of Chicago</institution>, <city>Chicago</city>, <state>IL</state>, <country country="us">United States</country></aff>
<aff id="aff2"><label>2</label><institution>Feinberg School of Medicine, Northwestern University</institution>, <city>Chicago</city>, <state>IL</state>, <country country="us">United States</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Neurology, University of Chicago Biological Sciences Division</institution>, <city>Chicago</city>, <state>IL</state>, <country country="us">United States</country></aff>
<aff id="aff4"><label>4</label><institution>Healthy Aging &#x0026; Alzheimer&#x2019;s Research Care (HAARC) Center, University of Chicago</institution>, <city>Chicago</city>, <state>IL</state>, <country country="us">United States</country></aff>
<aff id="aff5"><label>5</label><institution>Center for Brain Health, Cleveland Clinic</institution>, <city>Cleveland</city>, <state>OH</state>, <country country="us">United States</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Kaitlin Seibert, <email xlink:href="mailto:kaitlin.seibert1@gmail.com">seiberk2@ccf.org</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-10">
<day>10</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1643514</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>25</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Yang, Yoon, Taruc, Timpo, Mastrianni and Seibert.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Yang, Yoon, Taruc, Timpo, Mastrianni and Seibert</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-10">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>Introduction</title>
<p>Ethnic disparities in Early-onset Alzheimer&#x2019;s Disease (EOAD) have not been fully characterized.</p>
</sec>
<sec>
<title>Methods</title>
<p>We retrospectively identified 81 EOAD patients February 2017&#x2013;February 2022.</p>
</sec>
<sec>
<title>Results</title>
<p>53 (65.4%) identified as White and 28 (34.6%) identified as Black. Age at diagnosis (years) was (57.3&#x202F;&#x00B1;&#x202F;5.24) in Black patients compared to (56.3&#x202F;&#x00B1;&#x202F;4.96) in White patients. Time to diagnosis (years) was longer in Black patients (3.39&#x202F;&#x00B1;&#x202F;1.85) compared with White patients (2.64&#x202F;&#x00B1;&#x202F;1.75). Black patients had lower MOCA scores (12.17&#x202F;&#x00B1;&#x202F;6.9) compared with White patients (14.9&#x202F;&#x00B1;&#x202F;5.8). An amnestic profile was more common in Black patients (19 or 67.9%) than non-amnestic presentations (9 or 32.1%). Non-amnestic presentations were more common in White patients, with 9 (17%) patients with PCA, 8 (15%) with fAD and 8 (15%) with l-PPA.</p>
</sec>
<sec>
<title>Discussion</title>
<p>In our cohort, Black patients with EOAD are on average older, more advanced and experienced longer delays in diagnosis than their White counterparts.</p>
</sec>
</abstract>
<kwd-group>
<kwd>early-onset Alzheimer&#x2019;s disease (EOAD)</kwd>
<kwd>young onset dementia (YOD)</kwd>
<kwd>Alzhemer&#x2019;s dementia</kwd>
<kwd>ethnic disparities</kwd>
<kwd>healthcare access</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. Funding from NIH P30 AG0533767 was granted to help support the research and/or publication of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="7"/>
<word-count count="5157"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neuroepidemiology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Early-onset Alzheimer&#x2019;s Disease (EOAD) affects patients younger than age 65 and may present with non-amnestic features. Black adults are up to twice as likely as White adults to develop Alzheimer disease (AD) (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). In addition, studies suggest that Black patients with dementia not only experience greater delays to diagnosis but they are often undertreated, which may reflect disparities in access to healthcare, relative lack of AD awareness, and systemic distrust (<xref ref-type="bibr" rid="ref3 ref4 ref5 ref6">3&#x2013;6</xref>). Whereas ethnoracial disparities have been reported for typical late-onset Alzheimer&#x2019;s Disease (LOAD), there is a relative paucity of similar studies for diverse patients with EOAD.</p>
<p>Most studies on atypical presentations of AD, including EOAD, focus on white populations (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>) Compared to typical AD, little is known about the differences in pathogenesis, genetic diagnostic biomarker profile, and natural history, particularly among Black patients (<xref ref-type="bibr" rid="ref9">9</xref>). Interestingly, Black and Latino AD patients may have longer survival compared with white AD patients (<xref ref-type="bibr" rid="ref10">10</xref>). Clinically, Black participants with dementia may have higher neuropsychiatric symptoms/severity and functional dependence as compared to White patients with dementia (<xref ref-type="bibr" rid="ref11">11</xref>). Studies suggest that the underlying pathogenesis of cognitive impairment in AD may be different in Black patients compared to White patients (<xref ref-type="bibr" rid="ref12">12</xref>). Despite disproportionately higher rates of AD among people wo identify as Black, a recent studies found lower odds of amyloid PET positivity among Black and Hispanic patients compared with White patients (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>Only one study specifically characterized biomarker differences between ethnicities, finding that Black patients had lower levels of total and phosphorylated tau (t-tau and p-tau), and amyloid-beta (Ab) levels in their cerebrospinal fluid (CSF) when compared with non-Hispanic White people (<xref ref-type="bibr" rid="ref15">15</xref>). Another study also found lower levels of CSF t-tau and p-tau among Black patients, though it was found to be perhaps a function of ApoE4 status (<xref ref-type="bibr" rid="ref16">16</xref>).</p>
<p>Pathologically, Black patients with AD are more likely to have mixed pathology than White patients with AD, which may at least partially account for the variability in biomarkers (<xref ref-type="bibr" rid="ref17">17</xref>). Further study of biomarker and clinicodemographic data may be the key to providing culturally competent care for Black patients with AD.</p>
<p>As a tertiary care center with a large Black population on the South Side of Chicago, we sought to compare several aspects of the utilization of medical services by patients, the perceived clinical features of the disease at presentation, diagnostic testing, and clinical features of disease among Black and White patients diagnosed with EOAD. We also aimed to identify differences in diagnostic tests ordered and obtained to help inform and identity potential barriers in diagnosis in the Black EOAD population.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<title>Materials and methods</title>
<p>The study was reviewed and approved by the Institutional Review Board of the affiliated academic medical center.</p>
<sec id="sec3">
<title>Study sample</title>
<p>We retrospectively identified EOAD patients from 02/01/2017 to 02/01/2022 by extracting all patients who presented to a single academic memory center and were diagnosed with Early Onset Alzheimer&#x2019;s Dementia by a board-certified behavioral neurologist. All patients had at least met criteria for probable Alzheimer&#x2019;s disease based on McKhann et al. (<xref ref-type="bibr" rid="ref18">18</xref>) 2011 guidelines. We compared data on ethnicity, level of education, Montreal Cognitive Assessment (MoCA) scores and clinical phenotype through chart review of electronic health records. MoCA scores were available for the majority of our patients and is known to be more sensitive in detecting early cognitive impairment compared to the Mini-Mental State Examiniation (MMSE) score, which can be simpler and easier to administer. MMSE was collected for patients for which MoCA scores were not available. We defined EOAD as patients with AD with onset of symptoms younger than 65&#x202F;years of age. We also included patients that expressed symptoms before 65, yet presented to clinic after age 65. This was elicited by asking the patient and their accompanying family members to report at what age symptoms first onset and an estimate of age at onset was then made. We also collected data on frequency of diagnostic tests ordered and completed through further chart review of the same patients.</p>
<p>Non-black and non-white patients constituted less than 5% of the study sample and thus were excluded. Only data available in electronic medical record was included.</p>
<p>Subtypes of clinical phenotypes were made based on clinical syndrome at the discretion of a board certified behavioral neurologist.</p>
</sec>
<sec id="sec4">
<title>Statistical analysis</title>
<p>Descriptive statistics were generated for demographic variables. These included mean with standard deviation or median with interquartile range (IQR) for continuous and categorical variables. The independent sample t-test and the Fisher&#x2019;s exact test were used for continuous variables and categorical variables, respectively. All statistical tests were two-sided with a <italic>p</italic>-value &#x003C; 0.05 as statistically significant. Analyses were performed using STATA/SE software version 18 (StataCorp LP, Texas, USA).</p>
</sec>
</sec>
<sec sec-type="results" id="sec5">
<title>Results</title>
<sec id="sec6">
<title>Demographics</title>
<p>We identified 81 EOAD patients with 28 Black patients and 53 White patients (<xref ref-type="table" rid="tab1">Table 1</xref>). Of the 81 participants, 47 or 58% of our sample was female. Interestingly, more than two-thirds of our total Black patients were female (19 or 67.8%). The average length of education obtained was 15.3&#x202F;years. The average age of disease onset was 56.7&#x202F;years, with Black patients reporting slightly higher mean age of onset than White patients (57.3&#x202F;&#x00B1;&#x202F;5.24 versus 56.3&#x202F;&#x00B1;&#x202F;4.96). The average years from onset to diagnosis was 2.9&#x202F;years. Mean years from onset to diagnosis was higher in Black patients versus White patients (3.39&#x202F;years&#x00B1;1.85 compared to 2.64&#x202F;years&#x00B1;1.75). Positive family history was present in 34.6% of our sample.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographic characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable, <italic>n</italic></th>
<th align="center" valign="top">Overall</th>
<th align="center" valign="top">Black patients</th>
<th align="center" valign="top">White patients</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td/>
<td align="center" valign="bottom">(<italic>n</italic>&#x202F;=&#x202F;81)</td>
<td align="center" valign="bottom">(<italic>n</italic>&#x202F;=&#x202F;28)</td>
<td align="center" valign="bottom">(<italic>n</italic>&#x202F;=&#x202F;53)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Female sex (%)</td>
<td align="center" valign="bottom">47 (58%)(<italic>n</italic>&#x202F;=&#x202F;51)</td>
<td align="center" valign="bottom">19 (67.8%)(<italic>n</italic> =&#x202F;14)</td>
<td align="center" valign="bottom">28 (52%)(<italic>n</italic>&#x202F;=&#x202F;37)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Average years of education (SD)</td>
<td align="center" valign="bottom">15.27 (2.57)</td>
<td align="center" valign="bottom">15 (2.18)</td>
<td align="center" valign="bottom">15.38 (2.7)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.6446</td>
</tr>
<tr>
<td align="left" valign="bottom">Average age of onset (SD)</td>
<td align="center" valign="bottom">56.7 (5.05)</td>
<td align="center" valign="bottom">57.3 (5.24)</td>
<td align="center" valign="bottom">56.3 (4.96)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.4002</td>
</tr>
<tr>
<td align="left" valign="bottom">Average years from onset to diagnosis (SD)</td>
<td align="center" valign="bottom">2.90 (1.81)</td>
<td align="center" valign="bottom">3.39 (1.85)</td>
<td align="center" valign="bottom">2.64 (1.75)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.0761</td>
</tr>
<tr>
<td align="left" valign="middle">Positive family history (%)</td>
<td align="center" valign="bottom">28 (34.6%)(<italic>n</italic>&#x202F;=&#x202F;65)</td>
<td align="center" valign="bottom">10 (35.7%)(<italic>n</italic>&#x202F;=&#x202F;23)</td>
<td align="center" valign="bottom">18 (34.0%)(<italic>n</italic>&#x202F;=&#x202F;42)</td>
<td align="center" valign="middle"><italic>p</italic>&#x202F;=&#x202F;0.496</td>
</tr>
<tr>
<td align="left" valign="middle">Average MoCA score (SD)</td>
<td align="center" valign="bottom">13.95 (6.30)(<italic>n</italic>&#x202F;=&#x202F;8)</td>
<td align="center" valign="bottom">12.17 (6.9)(<italic>n</italic>&#x202F;=&#x202F;3)</td>
<td align="center" valign="bottom">14.9 (5.8)(<italic>n</italic> =&#x202F;5)</td>
<td align="center" valign="middle"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.0923</td>
</tr>
<tr>
<td align="left" valign="bottom">Average MMSE score (SD)</td>
<td align="center" valign="bottom">17.75 (7.00)</td>
<td align="center" valign="bottom">14.3 (7.02)</td>
<td align="center" valign="bottom">19.8 (6.87)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.3210</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5"><bold>MoCA domains average scores (SD) <italic>n</italic>&#x202F;=&#x202F;62</bold></td>
</tr>
<tr>
<td align="left" valign="bottom">Visuospatial executive</td>
<td align="center" valign="bottom">2.06 (1.49)</td>
<td align="center" valign="bottom">2.13 (1.42)</td>
<td align="center" valign="bottom">2.02 (1.5)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.7811</td>
</tr>
<tr>
<td align="left" valign="bottom">Naming</td>
<td align="center" valign="bottom">2.29 (0.89)</td>
<td align="center" valign="bottom">2.09 (0.97)</td>
<td align="center" valign="bottom">2.4 (0.8)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.1952</td>
</tr>
<tr>
<td align="left" valign="bottom">Attention</td>
<td align="center" valign="bottom">3.17 (2.11)</td>
<td align="center" valign="bottom">2.72 (2.14)</td>
<td align="center" valign="bottom">3.43 (2.09)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.2168</td>
</tr>
<tr>
<td align="left" valign="bottom">Language</td>
<td align="center" valign="bottom">1.32 (1.18)</td>
<td align="center" valign="bottom">1.18 (1.26)</td>
<td align="center" valign="bottom">1.4 (1.15)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.4922</td>
</tr>
<tr>
<td align="left" valign="bottom">Abstraction</td>
<td align="center" valign="bottom">1.21 (0.79)</td>
<td align="center" valign="bottom">0.86 (0.83)</td>
<td align="center" valign="bottom">1.4 (0.70)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.0096</td>
</tr>
<tr>
<td align="left" valign="bottom">Delayed recall</td>
<td align="center" valign="bottom">0.20 (0.48)</td>
<td align="center" valign="bottom">0.05 (0.21)</td>
<td align="center" valign="bottom">0.3 (0.56)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.047</td>
</tr>
<tr>
<td align="left" valign="bottom">Delayed recall with category cues (<italic>n</italic>&#x202F;=&#x202F;56)</td>
<td align="center" valign="bottom">0.73 (0.94)</td>
<td align="center" valign="bottom">0.45 (0.69)</td>
<td align="center" valign="bottom">0.89 (1.04)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.096</td>
</tr>
<tr>
<td align="left" valign="bottom">Delayed recall with multiple choice (<italic>n</italic>&#x202F;=&#x202F;56)</td>
<td align="center" valign="bottom">1.45 (1.26)</td>
<td align="center" valign="bottom">1.45 (1.31)</td>
<td align="center" valign="bottom">1.44 (1.25)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.988</td>
</tr>
<tr>
<td align="left" valign="bottom">Orientation</td>
<td align="center" valign="bottom">3.77 (1.80)</td>
<td align="center" valign="bottom">3.40 (1.87)</td>
<td align="center" valign="bottom">3.98 (1.76)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.2408</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="5"><bold>Test results</bold></td>
</tr>
<tr>
<td align="left" valign="bottom">Average T_tau (SD) <italic>n</italic>&#x202F;=&#x202F;32</td>
<td align="center" valign="bottom">624.6 (283.23)</td>
<td align="center" valign="bottom">615.35 (249.74)</td>
<td align="center" valign="bottom">626.00 (291.8)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.945</td>
</tr>
<tr>
<td align="left" valign="bottom">Average P_tau <italic>n</italic>&#x202F;=&#x202F;32</td>
<td align="center" valign="bottom">89.80 (31.87)</td>
<td align="center" valign="bottom">95.8 (19.85)</td>
<td align="center" valign="bottom">88.95 (33.41)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.695</td>
</tr>
<tr>
<td align="left" valign="bottom">Average A_beta <italic>n</italic>&#x202F;=&#x202F;32</td>
<td align="center" valign="bottom">397.30 (148.96)</td>
<td align="center" valign="bottom">426.2 (66.8)</td>
<td align="center" valign="bottom">393.18 (157.6)</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.685</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Other</italic></td>
<td align="center" valign="bottom"><italic>Total</italic></td>
<td align="center" valign="bottom"><italic>Black</italic></td>
<td align="center" valign="bottom"><italic>White</italic></td>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="bottom">(<italic>n</italic>&#x202F;=&#x202F;81)</td>
<td align="center" valign="bottom">(<italic>n</italic>&#x202F;=&#x202F;28)</td>
<td align="center" valign="bottom">(<italic>n</italic>&#x202F;=&#x202F;53)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Mortality at 5&#x202F;years (<italic>n</italic>&#x202F;=&#x202F;81)</td>
<td align="center" valign="bottom">48 (60%)(<italic>n</italic>&#x202F;=&#x202F;80)</td>
<td align="center" valign="bottom">17 (60%)(<italic>n</italic>&#x202F;=&#x202F;27)</td>
<td align="center" valign="bottom">31 (58%)(<italic>n</italic>&#x202F;=&#x202F;53)</td>
<td align="center" valign="middle">1.000</td>
</tr>
<tr>
<td align="left" valign="middle">Is the patient adherent to acetylcholinesterase inhibitor?</td>
<td align="center" valign="bottom">65 (81%)(<italic>n</italic>&#x202F;=&#x202F;37)</td>
<td align="center" valign="bottom">21 (78%)(<italic>n</italic>&#x202F;=&#x202F;11)</td>
<td align="center" valign="bottom">44 (83%)(<italic>n</italic>&#x202F;=&#x202F;26)</td>
<td align="center" valign="bottom">0.5610.296</td>
</tr>
<tr>
<td align="left" valign="middle">Is the patient adherent to antipsychotics?</td>
<td align="center" valign="bottom">33 (89%)(<italic>n</italic>&#x202F;=&#x202F;80)</td>
<td align="center" valign="bottom">11 (100%)(<italic>n</italic>&#x202F;=&#x202F;28)</td>
<td align="center" valign="bottom">22 (84.6%)(<italic>n</italic>&#x202F;=&#x202F;53)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Is the patient accompanied at last visit?</td>
<td align="center" valign="bottom">80</td>
<td align="center" valign="bottom">28 (100%)</td>
<td align="center" valign="bottom">52 (98%)</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec7">
<title>MoCA scores</title>
<p>65 of our 81 patients (80%) completed the Montreal Cognitive Assessment (MoCA) at presentation. All participants scored less than or equal to 26, the recommended cutoff that supports cognitive impairment (<xref ref-type="bibr" rid="ref19">19</xref>); the overall mean MoCA score was 13.95&#x202F;&#x00B1;&#x202F;6.3. Average MoCA scores were lower among Black patients (12.17&#x202F;&#x00B1;&#x202F;6.9) compared to White patients (14.9&#x202F;&#x00B1;&#x202F;5.8). This was also reflected in MMSE scores (<italic>n</italic>&#x202F;=&#x202F;8), with Black patients scoring on average lower than White patients (14.3&#x202F;&#x00B1;&#x202F;7.02 versus 19.8&#x202F;&#x00B1;&#x202F;6.87). However, neither of these results are statistically significant.</p>
<p>Mean scores in separate MoCA items were lower across all domains for Black patients compared to White patients. Black patients scored lower in abstraction (mean score of 0.86&#x202F;&#x00B1;&#x202F;0.83 out of a total score of 2), compared to White patients (mean score of 1.4&#x202F;&#x00B1;&#x202F;0.70) (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Black patients also scored lower in delayed free recall, with a mean score of 0.05&#x202F;&#x00B1;&#x202F;0.21 compared to White patients (0.3&#x202F;&#x00B1;&#x202F;0.56, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</sec>
<sec id="sec8">
<title>Clinical phenotype</title>
<p>Black patients presented most commonly with an amnestic phenotype. Within our cohort, 19 of 28 (68%) had an amnestic presentation at initial evaluation, five (18%) presented with prominent language impairment (logopenic primary progressive aphasia), one (4%) had a presentation characteristic of a dysexecutive variant of Alzheimer&#x2019;s disease, and two (7%) had cortical visual symptoms suggestive of posterior cortical atrophy (PCA) (see <xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Clinical phenotype, by ethnicity.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Clinical phenotype of AD</th>
<th align="center" valign="top">Total (%)</th>
<th align="center" valign="top">Black patients (%)</th>
<th align="center" valign="top">White patients (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Amnestic</td>
<td align="center" valign="bottom">45 (56%)</td>
<td align="center" valign="bottom">19 (68%)</td>
<td align="center" valign="bottom">26 (49%)</td>
</tr>
<tr>
<td align="left" valign="bottom">PCA</td>
<td align="center" valign="bottom">11 (14%)</td>
<td align="center" valign="bottom">2 (7%)</td>
<td align="center" valign="bottom">9 (17%)</td>
</tr>
<tr>
<td align="left" valign="bottom">Language (PPA)</td>
<td align="center" valign="bottom">13 (16%)</td>
<td align="center" valign="bottom">5 (18%)</td>
<td align="center" valign="bottom">8 (15%)</td>
</tr>
<tr>
<td align="left" valign="bottom">Executive dysfunction</td>
<td align="center" valign="bottom">9 (11%)</td>
<td align="center" valign="bottom">1 (4%)</td>
<td align="center" valign="bottom">8 (15%)</td>
</tr>
<tr>
<td align="left" valign="bottom">Indeterminate</td>
<td align="center" valign="bottom">3 (4%)</td>
<td align="center" valign="bottom">1 (4%)</td>
<td align="center" valign="bottom">2 (4%)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>These findings are supported by <xref ref-type="fig" rid="fig1">Figure 1</xref>, in which we report the most frequent presenting symptom in the initial clinic visit by ethnicity. Black patients more frequently reported forgetfulness, misplacing items, repeating questions and stories compared to other more atypical symptoms such as language and vision difficulties, or behavioral changes.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Presenting symptoms, by ethnicity.</p>
</caption>
<graphic xlink:href="fneur-16-1643514-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing the percentage of symptoms between two groups, labeled "White" and "Black." Symptoms include forgetfulness, misplacing items, repeating questions, language difficulties, vision difficulties, poor attention, poor executive function, and behavior changes. Forgetfulness shows the highest percentage in both groups, with "White" peaking higher than "Black" in most categories. Color coding: orange for "White" and blue for "Black."</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec9">
<title>Diagnostic testing completion rates</title>
<p>In general, Black patients obtained and completed fewer diagnostic tests than White patients (<xref ref-type="table" rid="tab3">Table 3</xref>). Brain MRI, CSF testing for Alzheimer&#x2019;s Disease biomarkers, fluorodeoxyglucose-positron emission tomography (FDG-PET) brain scan, single photon emission computed tomography (SPECT) brain scan, comprehensive neuropsychological assessment, genetic testing, and brain amyloid-PET scan usage were compared among the two cohorts. We found that White patients, compared with Black patients, completed significantly more CSF testing (53% vs. 14%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), FDG-PET imaging (40% vs. 18%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), and neuropsychological assessments (75% vs. 25%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). A similar trend was found in the way clinicians ordered diagnostic tests. CSF testing was ordered in 53% of White patients, compared to just 14% of Black patients (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="table" rid="tab3">Table 3</xref>). Similarly, neuropsychological testing was much more frequently ordered in White patients compared to Black patients (83% vs. 39%) (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). In contrast, a brain MRI was ordered at similarly high rates in both Black and White patients (93% compared to 92%).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Diagnostic tests completed and ordered, by ethnicity.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Total <italic>n</italic> =&#x202F;81</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">Black patients <italic>n</italic> =&#x202F;28</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">White patients <italic>n</italic> =&#x202F;53</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom" colspan="8">Testing</td>
</tr>
<tr>
<td align="left" valign="bottom">Completed MRI</td>
<td align="center" valign="bottom">72</td>
<td align="center" valign="bottom">89%</td>
<td align="center" valign="bottom">24</td>
<td align="center" valign="bottom">86%</td>
<td align="center" valign="bottom">48</td>
<td align="center" valign="bottom">91%</td>
<td align="center" valign="bottom">0.712</td>
</tr>
<tr>
<td align="left" valign="bottom">Completed CSF testing</td>
<td align="center" valign="bottom">32</td>
<td align="center" valign="bottom">40%</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">14%</td>
<td align="center" valign="bottom">28</td>
<td align="center" valign="bottom">53%</td>
<td align="center" valign="bottom"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Completed FDG-PET</td>
<td align="center" valign="bottom">26</td>
<td align="center" valign="bottom">32%</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">18%</td>
<td align="center" valign="bottom">21</td>
<td align="center" valign="bottom">40%</td>
<td align="center" valign="bottom"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.05</td>
</tr>
<tr>
<td align="left" valign="bottom">Completed SPECT</td>
<td align="center" valign="bottom">30</td>
<td align="center" valign="bottom">37%</td>
<td align="center" valign="bottom">8</td>
<td align="center" valign="bottom">29%</td>
<td align="center" valign="bottom">22</td>
<td align="center" valign="bottom">42%</td>
<td align="center" valign="bottom">0.335</td>
</tr>
<tr>
<td align="left" valign="bottom">Completed Neuropsychological testing</td>
<td align="center" valign="bottom">47</td>
<td align="center" valign="bottom">58%</td>
<td align="center" valign="bottom">7</td>
<td align="center" valign="bottom">25%</td>
<td align="center" valign="bottom">40</td>
<td align="center" valign="bottom">75%</td>
<td align="center" valign="bottom"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Completed genetic testing</td>
<td align="center" valign="bottom">21</td>
<td align="center" valign="bottom">26%</td>
<td align="center" valign="bottom">7</td>
<td align="center" valign="bottom">25%</td>
<td align="center" valign="bottom">14</td>
<td align="center" valign="bottom">26%</td>
<td align="center" valign="bottom">1.000</td>
</tr>
<tr>
<td align="left" valign="bottom">Completed amyloid PET testing</td>
<td align="center" valign="bottom">7</td>
<td align="center" valign="bottom">9%</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">11%</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">8%</td>
<td align="center" valign="bottom">0.688</td>
</tr>
<tr>
<td align="left" valign="top" colspan="8">Ordered or not?</td>
</tr>
<tr>
<td align="left" valign="top">MRI ordered</td>
<td align="center" valign="bottom">75</td>
<td align="center" valign="bottom">93%</td>
<td align="center" valign="bottom">26</td>
<td align="center" valign="bottom">93%</td>
<td align="center" valign="bottom">49</td>
<td align="center" valign="bottom">92%</td>
<td align="center" valign="bottom">1.000</td>
</tr>
<tr>
<td align="left" valign="top">CSF testing ordered</td>
<td align="center" valign="bottom">32</td>
<td align="center" valign="bottom">40%</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">14%</td>
<td align="center" valign="bottom">28</td>
<td align="center" valign="bottom">53%</td>
<td align="center" valign="bottom"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.001</td>
</tr>
<tr>
<td align="left" valign="top">FDG-PET testing ordered</td>
<td align="center" valign="bottom">28</td>
<td align="center" valign="bottom">35%</td>
<td align="center" valign="bottom">6</td>
<td align="center" valign="bottom">21%</td>
<td align="center" valign="bottom">22</td>
<td align="center" valign="bottom">42%</td>
<td align="center" valign="bottom">0.088</td>
</tr>
<tr>
<td align="left" valign="top">SPECT testing ordered</td>
<td align="center" valign="bottom">32</td>
<td align="center" valign="bottom">40%</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">36%</td>
<td align="center" valign="bottom">22</td>
<td align="center" valign="bottom">42%</td>
<td align="center" valign="bottom">0.642</td>
</tr>
<tr>
<td align="left" valign="top">Neuropsychological testing ordered</td>
<td align="center" valign="bottom">55</td>
<td align="center" valign="bottom">68%</td>
<td align="center" valign="bottom">11</td>
<td align="center" valign="bottom">39%</td>
<td align="center" valign="bottom">44</td>
<td align="center" valign="bottom">83%</td>
<td align="center" valign="bottom"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.000</td>
</tr>
<tr>
<td align="left" valign="top">Genetic testing ordered</td>
<td align="center" valign="bottom">37</td>
<td align="center" valign="bottom">46%</td>
<td align="center" valign="bottom">13</td>
<td align="center" valign="bottom">46%</td>
<td align="center" valign="bottom">24</td>
<td align="center" valign="bottom">45%</td>
<td align="center" valign="bottom">1.000</td>
</tr>
<tr>
<td align="left" valign="top">Amyloid PET test ordered</td>
<td align="center" valign="bottom">11</td>
<td align="center" valign="bottom">14%</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">18%</td>
<td align="center" valign="bottom">6</td>
<td align="center" valign="bottom">11%</td>
<td align="center" valign="bottom">0.500</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec10">
<title>Diagnostic testing results</title>
<p>CSF results were available for 32 of our 81 patients (<xref ref-type="table" rid="tab1">Table 1</xref>). There were no statistically significant differences in Black vs. White patients&#x2019; CSF concentrations of t-tau (615.35&#x202F;&#x00B1;&#x202F;249.74 vs. 626.00&#x202F;&#x00B1;&#x202F;291.8), p-tau (95.8&#x202F;&#x00B1;&#x202F;19.85 vs. 88.95&#x202F;&#x00B1;&#x202F;33.41), or A&#x03B2;42 (426.2&#x202F;&#x00B1;&#x202F;66.8 vs. 393.18&#x202F;&#x00B1;&#x202F;157.6).</p>
</sec>
</sec>
<sec id="sec11">
<title>Conclusion and discussion</title>
<p>In our cohort, Black patients with EOAD were, on average, more advanced, and experienced a longer time to diagnosis than their White counterparts. Non-amnestic, atypical presentations were more common in White patients presenting with EOAD, at least in our sample. We also found that Black patients not only completed fewer diagnostic tests that were ordered (specifically CSF testing, FDG-PET imaging, and neuropsychological testing), but as a group, CSF testing and neuropsychological assessments were ordered less frequently in Black patients compared with White patients.</p>
<p>It is important to acknowledge that in our study, Black patients on average experienced a longer period between symptom onset and diagnosis. A 2012 study in a large, Dutch cohort (<italic>n</italic>&#x202F;=&#x202F;414) found that EOAD patients took an average of 1.6&#x202F;years longer than LOAD patients to obtain a diagnosis (<xref ref-type="bibr" rid="ref20">20</xref>). Prolonged time from symptom onset to diagnosis could be due to a number of factors. Atypical, non-amnestic presentation of AD in patients less than 65&#x202F;years old may be more likely to be misdiagnosed or missed by clinicians.</p>
<p>We also found that Black patients in our cohort trended towards lower scores on the MoCA at presentation. Although this did not reach statistical significance, some of the individual tasks, such as abstractions and delayed recall, did. Does a lower MoCA score in this context necessarily imply greater cognitive impairment? Prior evidence has suggested that older Black participants tend to perform worse on tests of executive function and visuospatial ability, when compared with older White participants, even when controlling for education (<xref ref-type="bibr" rid="ref21 ref22 ref23 ref24 ref25">21&#x2013;25</xref>).</p>
<p>It is not known whether this finding is also observed in Black patients less than 65&#x202F;years of age. Interestingly, one of the earliest studies of normative performance on the MoCA in Black participants (1,419 patients with a mean age 49&#x202F;years) found that total MoCA scores were lower than normative data derived from elderly White participants (<xref ref-type="bibr" rid="ref26">26</xref>). In the same study, Rossetti et al. (<xref ref-type="bibr" rid="ref26">26</xref>) found that some domains were especially missed by a large portion of the sample&#x2014;including delayed free recall and abstraction&#x2014;as in our cohort. This may suggest that certain items in MoCA have lower psychometric utility for Black participants.</p>
<p>One study using a related cognitive measure, the Mini Mental Status Exam (MMSE), demonstrated a lower score at presentation in Black and Latino patients with AD as compared to White patients with AD, but no appreciable difference among Black and Non-Hispanic White cognitively normal participants (<xref ref-type="bibr" rid="ref27">27</xref>). The role of cognitive reserve in racially diverse populations also remains unclear. One study found that Black patients have a lower baseline level of cognition but progress more slowly over time; however, additional studies are necessary for further characterization (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
<p>Lower mean scores specifically in delayed free recall and abstraction items among Black patients are also consistent with our overall finding that amnestic presentations were more common among Black EOAD patients than their White counterparts. This is contrary to our current understanding that atypical, non-amnestic presentations of AD are more characteristic in EOAD cohorts (<xref ref-type="bibr" rid="ref29">29</xref>). What may account for this difference? This may represent an overall selection bias among our clinic population.</p>
<p>For example, it could be that patients are more likely to present to a memory clinic for symptoms such as forgetfulness than visual difficulties due to wider awareness of the former symptom as a neurological problem. A 2023 study of 4,284 patients from 2008 to 2018 has shown that Black patients who present to memory clinic are more likely to have moderate or severe dementia at their initial visit (<xref ref-type="bibr" rid="ref30">30</xref>).</p>
<p>Perhaps the most evident disparity was in access to EOAD care, as Black patients completed fewer diagnostic tests than White patients, suggesting additional social determinants of health must be explored in order to further characterize this gap. Providers also ordered relatively lower numbers of lumbar puncture procedures for Black patients by providers, presuming that the provider did not order the study because the patient declined. Lumbar puncture (LP) for CSF testing is one of the most crucial components of EOAD diagnosis, especially when accounting for financial and insurance barriers to care. Existing research has shown, consistent with our study, that Black patients are less likely than White patients to agree to a lumbar puncture (<xref ref-type="bibr" rid="ref31">31</xref>). A general culture of medical mistrust and the historical context of medical researchers exploiting diverse patients are some of the many reasons patients and their caregivers may be less inclined to agree to an invasive test (<xref ref-type="bibr" rid="ref32">32</xref>). Further research is needed to determine whether access to non-invasive diagnostic tests such as amyloid PET scans may mitigate diagnostic disparities in EOAD care.</p>
<p>It is also interesting to note that neuropsychological testing was less likely to be completed by Black patients in our cohort. We also find that providers were less likely to order neuropsychological testing for Black patients. Many factors may have contributed to this finding, such insurance barriers, access to transportation or caregiver constraints. Testing itself also takes upwards of 6&#x202F;h, incurring an additional transportation or time burden for patients that may need transport or work full-time. Coverage for testing is variable for EOAD patients who are younger than 65&#x202F;years of age. For example, the FDG-PET is not covered by Medicare for EOAD patients, which may partially explain the low completion rate. Provider bias of a patient&#x2019;s general willingness to pursue such studies may also play a role in the discrepancy between Black and White patients. Further exploration of such barriers is imperative to ensure that the healthcare system is able to deliver uniformly culturally competent care and that all patients have access to early diagnosis and a comprehensive list of treatment options, particularly in the new era of disease-modifying anti-amyloid therapies.</p>
<p>These disparities in care highlight the value of culturally competent and ethnically informed memory care providers in an increasingly demanding medical field. Such awareness is imperative to mitigate rather than exacerbate existing ethnoracial disparities in AD diagnosis and treatment as well as clinical trial enrollment.</p>
<sec id="sec12">
<title>Strengths and limitations</title>
<p>Our study findings are limited by our retrospective and single-center design. It is not known if similar findings are present in other memory clinics. Limitations of electronic medical records should also be noted. While certain information was collected directly through medical records, such as time of diagnosis, we relied on caregivers and family member accounts to obtain an estimated age of symptom onset. Race and ethnicity data was based on self-reported demographic data collected at patient registration, which had specific options to be selected from a list and did not include full aspects of a person&#x2019;s identity, such as whether they identify as Hispanic or non-hispanic. Additionally, information about the availability of a care partner was unable to be accessed from the medical record. Other social determinants of health such as education level, social and community support, geographical location and financial and insurance status were not able to be reliably collected in our cohort. Finally, our study is limited by a small sample and recruitment from a single medical center, and therefore we are limited by its generalizability to the broader population beyond the Chicago metropolitan area. Although our cohort is small overall, the disparities in care cast on patients with EOAD who identify as Black is important particularly in the era of disease-modifying therapies. EOAD patients are already vulnerable to systemic barriers; identification and awareness of provider biases is key to ensuring access to therapies for all patients.</p>
<p>Further investigation with larger-scale studies that capture the full extent of patients&#x2019; identities and barriers to care across institutions and providers is needed to fully characterize accessibility barriers in the EOAD population. Several important components to consider include access to culturally competent dementia specialists, social and community education and support of patients with EOAD, and financial and systemic logistical feasibility of diagnostic tests and continued care. Further characterization of social determinants of health in diverse populations, education of providers and support systems, and reducing systemic barriers to care via needs assessments are the next steps in optimizing early diagnosis and treatment of EOAD.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec13">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article can be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec14">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the University of Chicago Institutional Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. The institutional review board waived the requirement of written informed consent for participation from the participants or the participants' legal guardians/next of kin due to the retrospective nature of the study and the use of de-identified data.</p>
</sec>
<sec sec-type="author-contributions" id="sec15">
<title>Author contributions</title>
<p>MY: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SY: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. KT: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. PT: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. JM: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. KS: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank the patients and caregivers of the Memory Center at the University of Chicago Medicine, as well as the staff, co-investigators, and internal reviewers of this manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="sec16">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec17">
<title>Generative AI statement</title>
<p>The authors declare that no Gen 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>
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<title>Publisher&#x2019;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>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1143209/overview">Pei Shang</ext-link>, Mayo Clinic, United States</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/367011/overview">Erik J. Behringer</ext-link>, Loma Linda University, United States</p><p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2910941/overview">Xinyuan Yuan</ext-link>, Mayo Clinic, United States</p></fn>
</fn-group>
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