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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
<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.2025.1646709</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neurology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Trends in nontraumatic subarachnoid hemorrhage-related mortality among young adult (15&#x2013;64&#x202F;years) population in the United States, 1999&#x2013;2022</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Foley</surname>
<given-names>Olivia</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3022119/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rizvi</surname>
<given-names>Syeda Aamna Ijtaba</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/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kensok</surname>
<given-names>Thomas C.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Murugan</surname>
<given-names>Vikram</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3067564/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ashby</surname>
<given-names>Anthony</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jabbar</surname>
<given-names>Ali Bin Abdul</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2853115/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mirza</surname>
<given-names>Mohsin</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tauseef</surname>
<given-names>Abubakar</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Creighton University School of Medicine</institution>, <addr-line>Omaha, NE</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Dow University of Health Sciences</institution>, <addr-line>Karachi</addr-line>, <country>Pakistan</country></aff>
<aff id="aff3"><sup>3</sup><institution>CHI Health Immanuel Medical Center</institution>, <addr-line>Omaha, NE</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Creighton University Department of Internal Medicine</institution>, <addr-line>Omaha, NE</addr-line>, <country>United States</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1081444/overview">Hitoshi Fukuda</ext-link>, K&#x014D;chi University, Japan</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1395026/overview">Maria Isabel Chamorro Mu&#x00F1;oz</ext-link>, Andusian Health Service, Spain</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1555336/overview">Nikolaos Papagiannakis</ext-link>, Eginition Hospital, Greece</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3148580/overview">Hideo Ohba</ext-link>, Itsukaichi Kinen Byoin, Japan</p></fn>
<corresp id="c001">&#x002A;Correspondence: Olivia Foley, <email>oaf34218@creighton.edu</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1646709</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Foley, Rizvi, Kensok, Murugan, Ashby, Jabbar, Mirza and Tauseef.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Foley, Rizvi, Kensok, Murugan, Ashby, Jabbar, Mirza and Tauseef</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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 id="sec1">
<title>Background</title>
<p>Nontraumatic subarachnoid hemorrhages (NSAH) are the result of intracranial aneurysm rupture and involve bleeding into subarachnoid space. NSAH causes significant stroke burden among adults in the United States (US). Due to the unique challenges that younger adults (aged 15&#x2013;64&#x202F;years) may face, it is important to analyze NSAH-related mortality among this age group stratified to determine who is most at risk.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Mortality trends related to NSAH in adults aged 15&#x2013;64&#x202F;years old in the US between 1999 and 2022 were analyzed utilizing the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database. Age-adjusted mortality rate (AAMR), annual percent change (APC), and average annual percent change (AAPC) were subsequently analyzed. Data was then stratified by sex, race, region, state, rural vs. urban classification, and age.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Between 1999 and 2022, there were 85,930 NSAH-related deaths among adults aged 15&#x2013;64&#x202F;years in the US, and overall AAMR decreased throughout the study period. Females had consistently higher AAMRs than males but demonstrated a larger overall decrease in mortality. Black or African American and American Indian or Alaskan Native patients had the highest NSAH-related AAMR between 1999 and 2022. NSAH-related mortality decreased in all regions of the US between 1999 and 2022, while individual states demonstrated a variety of trends. Urban and rural areas both saw declines in NSAH-related AAMR, while the 55&#x2013;64-year age-group consistently displayed the highest NSAH-related crude mortality rates between 1999 and 2022.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Despite overall declines in mortality, persistent disparities in mortality across sex, race, and region highlight need for further study to decrease NSAH-related burden these groups overall.</p>
</sec>
</abstract>
<kwd-group>
<kwd>nontraumatic subarachnoid hemorrhage</kwd>
<kwd>young adults</kwd>
<kwd>mortality</kwd>
<kwd>disparities</kwd>
<kwd>trends</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="24"/>
<page-count count="11"/>
<word-count count="6548"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neuroepidemiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Nontraumatic subarachnoid hemorrhage (NSAH) is a serious cerebrovascular event characterized by bleeding into the subarachnoid space, often due to the rupture of an intracranial aneurysm. NSAH accounts for approximately 5&#x2013;10% of all strokes in the United States and remains a significant cause of morbidity and mortality despite advancements in neurosurgical and critical care management (<xref ref-type="bibr" rid="ref1">1</xref>). While NSAH incidence is typically associated with older populations, a substantial proportion of cases occur in younger adults, defined as individuals aged 15 to 64&#x202F;years (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). Because many younger adults affected by NSAH are in their prime working years, they face unique challenges, including increased long-term disability, economic burden, and reduced quality of life (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>Although studies have explored risk factors for NSAH, including hypertension, smoking, alcohol use, and genetic predisposition, research on age-specific mortality trends in younger adults remains limited (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>). Up until this point, specific analysis of NSAH incidence and mortality in young adults has not been performed using a national and epidemiological level in the published literature. This knowledge gap is particularly concerning as epidemiological trends suggest a rising incidence of stroke in younger adults, yet data on SAH-specific mortality patterns within this group are scarce (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>). Additionally, racial and socioeconomic disparities may contribute to differences in subarachnoid hemorrhage outcomes, further underscoring the need for targeted public health interventions (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>Understanding NSAH-related mortality trends in young adults is critical for improving prevention strategies, optimizing early detection, and enhancing post-hemorrhagic care. This study aims to analyze temporal trends in NSAH-related mortality among young adults aged 15&#x2013;64 in the United States, with a focus on demographic variations and evolving risk factors. The Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database provides epidemiological data that aligns with the objective of examining national trends in NSAH incidence. CDC WONDER was chosen over other similar databases due to its national coverage and focus on a non-cancer condition (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). By examining national data, this study seeks to provide insights into whether mortality rates have declined over time and to identify potential disparities that may inform future healthcare policies and stroke prevention efforts.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Study design</title>
<p>Researchers analyzed mortality data from the CDC WONDER database regarding deaths related to NSAH among young adults aged 15 to 64&#x202F;years old between 1999 and 2022. The Multiple Cause of Death database from the CDC WONDER site was utilized to analyze all deaths associated with this specific disease state. The International Classification of Diseases (ICD), 10<sup>th</sup> Revision, Clinical Modification codes were utilized to separate out data relevant to this study. To capture all data regarding NSAH, the ICD-10 code I60 was utilized, which includes both aneurysmal and non-aneurysmal causes of NSAH.</p>
<p>Data was extracted from two distinct time periods, 1999 to 2020 and 2020 to 2022, and then combined for analysis. Data regarding NSAH-related deaths was analyzed across different sexes races, regions, states, rural vs. urban settings, and age. The relevant data extracted included number of deaths, crude mortality rates, and age-adjusted mortality rates (AAMR) with 95% confidence intervals (CI) for each stratifying variable. The CDC WONDER database contains public information that is anonymized; as such, this study was exempt from institutional review board (IRB) approval.</p>
</sec>
<sec id="sec8">
<title>Study population</title>
<p>The study population included five age groups in 10-year intervals from 15&#x2013;24, 25&#x2013;34, 35&#x2013;44, 45&#x2013;54, and 55&#x2013;64&#x202F;years old. Sexes included male or female. Race and ethnicity groups included White, Black or African American, Asian or Pacific Islander, and Hispanic or Latino. Data was stratified into rural and urban classifications, based on the National Center for Health Statistics Urban&#x2013;Rural Classification Scheme as used by the CDC WONDER database (<xref ref-type="bibr" rid="ref13">13</xref>). Data was also stratified by state, as well as by United States census regions (Northeast, Midwest, South, and West), as defined by the Census Bureau definitions utilized by the CDC WONDER database. States included in each region can be seen in <xref ref-type="table" rid="tab1">Table 1</xref>. Regional data as well as rural vs. urban data were only analyzed between 1999 and 2020 because data provided for 2020&#x2013;2022 was marked as provisional on the CDC WONDER database.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>States included in United States Census Bureau Regions.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="4">States included in United States Census Bureau Regions</th>
</tr>
<tr>
<th align="left" valign="top">Northeast</th>
<th align="left" valign="top">Midwest</th>
<th align="left" valign="top">West</th>
<th align="left" valign="top">South</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Connecticut</td>
<td align="left" valign="bottom">Illinois</td>
<td align="left" valign="bottom">Arizona</td>
<td align="left" valign="bottom">Delaware</td>
</tr>
<tr>
<td align="left" valign="bottom">Maine</td>
<td align="left" valign="bottom">Indiana</td>
<td align="left" valign="bottom">Colorado</td>
<td align="left" valign="bottom">District of Columbia</td>
</tr>
<tr>
<td align="left" valign="bottom">Massachusetts</td>
<td align="left" valign="bottom">Michigan</td>
<td align="left" valign="bottom">Idaho</td>
<td align="left" valign="bottom">Florida</td>
</tr>
<tr>
<td align="left" valign="bottom">New Hampshire</td>
<td align="left" valign="bottom">Ohio</td>
<td align="left" valign="bottom">Montana</td>
<td align="left" valign="bottom">Georgia</td>
</tr>
<tr>
<td align="left" valign="bottom">Rhode Island</td>
<td align="left" valign="bottom">Wisconsin</td>
<td align="left" valign="bottom">Nevada</td>
<td align="left" valign="bottom">Maryland</td>
</tr>
<tr>
<td align="left" valign="bottom">Vermont</td>
<td align="left" valign="bottom">Iowa</td>
<td align="left" valign="bottom">New Mexico</td>
<td align="left" valign="bottom">North Carolina</td>
</tr>
<tr>
<td align="left" valign="bottom">New Jersey</td>
<td align="left" valign="bottom">Kansas</td>
<td align="left" valign="bottom">Utah</td>
<td align="left" valign="bottom">South Carolina</td>
</tr>
<tr>
<td align="left" valign="bottom">New York</td>
<td align="left" valign="bottom">Minnesota</td>
<td align="left" valign="bottom">Wyoming</td>
<td align="left" valign="bottom">Virginia</td>
</tr>
<tr>
<td align="left" valign="bottom">Pennsylvania</td>
<td align="left" valign="bottom">Missouri</td>
<td align="left" valign="bottom">Alaska</td>
<td align="left" valign="bottom">West Virginia</td>
</tr>
<tr>
<td/>
<td align="left" valign="bottom">Nebraska</td>
<td align="left" valign="bottom">California</td>
<td align="left" valign="bottom">Alabama</td>
</tr>
<tr>
<td/>
<td align="left" valign="bottom">North Dakota</td>
<td align="left" valign="bottom">Hawaii</td>
<td align="left" valign="bottom">Kentucky</td>
</tr>
<tr>
<td/>
<td align="left" valign="bottom">South Dakota</td>
<td align="left" valign="bottom">Oregon</td>
<td align="left" valign="bottom">Mississippi</td>
</tr>
<tr>
<td/>
<td/>
<td align="left" valign="bottom">Washington</td>
<td align="left" valign="bottom">Tennessee</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="bottom">Arkansas</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="bottom">Louisiana</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="bottom">Oklahoma</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="bottom">Texas</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec9">
<title>Statistical analysis</title>
<p>AAMR as well as average annual percentage change (AAPC) were analyzed throughout the study period among each stratification. Data were compiled and organized via Microsoft Excel, where the article&#x2019;s primary figures were created. Beyond initial charts and graphs, Joinpoint regression was conducted to further analyze this data. This study utilized the Joinpoint Regression Program (Joinpoint version 4.9.0.0 available via the National Cancer Institute in Bethesda, Maryland) to determine both overall mortality trends as well as those specified to stratified variables (<xref ref-type="bibr" rid="ref14">14</xref>). Joinpoint regression allowed researchers to identify whether significant changes in mortality occurred throughout the study period and if so, when those changes occurred (<xref ref-type="bibr" rid="ref14">14</xref>). The Monte Carlo permutation test was also utilized to calculate annual percent changes (APC) for each AAMR calculated, all reported with 95% CIs (<xref ref-type="bibr" rid="ref14">14</xref>). Average values of the APCs were calculated as AAPCs and reported to further highlight mortality trends throughout the study period. Differences in mortality and trends were analyzed utilizing 2-tailed t-tests with statistical significance set at <italic>p</italic>&#x202F;&#x2264;&#x202F;0.05. Statistically significant data is represented with an asterisk &#x2018;&#x002A;&#x2019; throughout this paper.</p>
</sec>
</sec>
<sec sec-type="results" id="sec10">
<title>Results</title>
<sec id="sec11">
<title>Overall</title>
<p>Between 1999 and 2022 there were 85,930 deaths related to NSAH. Annual total deaths, as well as annual stratification of mortality by sex as well as by race/ethnicity can be seen in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Total NSAH deaths stratified by sex and race.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Year</th>
<th align="center" valign="top">Overall Deaths</th>
<th align="center" valign="top">Female Deaths</th>
<th align="center" valign="top">Male Deaths</th>
<th align="center" valign="top">American Indian or Alaska Native Deaths</th>
<th align="center" valign="top">Asian or Pacific Islander Deaths</th>
<th align="center" valign="top">Black or African American Deaths</th>
<th align="center" valign="top">White Deaths</th>
<th align="center" valign="top">Hispanic Deaths</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">1999</td>
<td align="center" valign="bottom">4,198</td>
<td align="center" valign="bottom">2,506</td>
<td align="center" valign="bottom">1,692</td>
<td align="center" valign="bottom">32</td>
<td align="center" valign="bottom">152</td>
<td align="center" valign="bottom">802</td>
<td align="center" valign="bottom">2,764</td>
<td align="center" valign="bottom">427</td>
</tr>
<tr>
<td align="left" valign="bottom">2000</td>
<td align="center" valign="bottom">4,253</td>
<td align="center" valign="bottom">2,629</td>
<td align="center" valign="bottom">1,624</td>
<td align="center" valign="bottom">37</td>
<td align="center" valign="bottom">151</td>
<td align="center" valign="bottom">785</td>
<td align="center" valign="bottom">2,822</td>
<td align="center" valign="bottom">441</td>
</tr>
<tr>
<td align="left" valign="bottom">2001</td>
<td align="center" valign="bottom">3,735</td>
<td align="center" valign="bottom">2,223</td>
<td align="center" valign="bottom">1,512</td>
<td align="center" valign="bottom">29</td>
<td align="center" valign="bottom">151</td>
<td align="center" valign="bottom">738</td>
<td align="center" valign="bottom">2,390</td>
<td align="center" valign="bottom">418</td>
</tr>
<tr>
<td align="left" valign="bottom">2002</td>
<td align="center" valign="bottom">3,995</td>
<td align="center" valign="bottom">2,395</td>
<td align="center" valign="bottom">1,600</td>
<td align="center" valign="bottom">32</td>
<td align="center" valign="bottom">157</td>
<td align="center" valign="bottom">772</td>
<td align="center" valign="bottom">2,588</td>
<td align="center" valign="bottom">437</td>
</tr>
<tr>
<td align="left" valign="bottom">2003</td>
<td align="center" valign="bottom">3,937</td>
<td align="center" valign="bottom">2,366</td>
<td align="center" valign="bottom">1,571</td>
<td align="center" valign="bottom">34</td>
<td align="center" valign="bottom">175</td>
<td align="center" valign="bottom">750</td>
<td align="center" valign="bottom">2,515</td>
<td align="center" valign="bottom">447</td>
</tr>
<tr>
<td align="left" valign="bottom">2004</td>
<td align="center" valign="bottom">3,972</td>
<td align="center" valign="bottom">2,351</td>
<td align="center" valign="bottom">1,621</td>
<td align="center" valign="bottom">45</td>
<td align="center" valign="bottom">162</td>
<td align="center" valign="bottom">763</td>
<td align="center" valign="bottom">2,543</td>
<td align="center" valign="bottom">450</td>
</tr>
<tr>
<td align="left" valign="bottom">2005</td>
<td align="center" valign="bottom">3,838</td>
<td align="center" valign="bottom">2,278</td>
<td align="center" valign="bottom">1,560</td>
<td align="center" valign="bottom">42</td>
<td align="center" valign="bottom">159</td>
<td align="center" valign="bottom">742</td>
<td align="center" valign="bottom">2,448</td>
<td align="center" valign="bottom">440</td>
</tr>
<tr>
<td align="left" valign="bottom">2006</td>
<td align="center" valign="bottom">3,828</td>
<td align="center" valign="bottom">2,232</td>
<td align="center" valign="bottom">1,596</td>
<td align="center" valign="bottom">21</td>
<td align="center" valign="bottom">183</td>
<td align="center" valign="bottom">727</td>
<td align="center" valign="bottom">2,417</td>
<td align="center" valign="bottom">477</td>
</tr>
<tr>
<td align="left" valign="bottom">2007</td>
<td align="center" valign="bottom">3,717</td>
<td align="center" valign="bottom">2,135</td>
<td align="center" valign="bottom">1,582</td>
<td align="center" valign="bottom">40</td>
<td align="center" valign="bottom">175</td>
<td align="center" valign="bottom">705</td>
<td align="center" valign="bottom">2,297</td>
<td align="center" valign="bottom">493</td>
</tr>
<tr>
<td align="left" valign="bottom">2008</td>
<td align="center" valign="bottom">3,463</td>
<td align="center" valign="bottom">2007</td>
<td align="center" valign="bottom">1,456</td>
<td align="center" valign="bottom">25</td>
<td align="center" valign="bottom">176</td>
<td align="center" valign="bottom">656</td>
<td align="center" valign="bottom">2,151</td>
<td align="center" valign="bottom">450</td>
</tr>
<tr>
<td align="left" valign="bottom">2009</td>
<td align="center" valign="bottom">3,514</td>
<td align="center" valign="bottom">2028</td>
<td align="center" valign="bottom">1,486</td>
<td align="center" valign="bottom">34</td>
<td align="center" valign="bottom">180</td>
<td align="center" valign="bottom">630</td>
<td align="center" valign="bottom">2,166</td>
<td align="center" valign="bottom">491</td>
</tr>
<tr>
<td align="left" valign="bottom">2010</td>
<td align="center" valign="bottom">3,395</td>
<td align="center" valign="bottom">1988</td>
<td align="center" valign="bottom">1,407</td>
<td align="center" valign="bottom">25</td>
<td align="center" valign="bottom">194</td>
<td align="center" valign="bottom">637</td>
<td align="center" valign="bottom">2065</td>
<td align="center" valign="bottom">461</td>
</tr>
<tr>
<td align="left" valign="bottom">2011</td>
<td align="center" valign="bottom">3,369</td>
<td align="center" valign="bottom">1954</td>
<td align="center" valign="bottom">1,415</td>
<td align="center" valign="bottom">37</td>
<td align="center" valign="bottom">196</td>
<td align="center" valign="bottom">608</td>
<td align="center" valign="bottom">2028</td>
<td align="center" valign="bottom">495</td>
</tr>
<tr>
<td align="left" valign="bottom">2012</td>
<td align="center" valign="bottom">3,355</td>
<td align="center" valign="bottom">1922</td>
<td align="center" valign="bottom">1,433</td>
<td align="center" valign="bottom">29</td>
<td align="center" valign="bottom">204</td>
<td align="center" valign="bottom">613</td>
<td align="center" valign="bottom">2008</td>
<td align="center" valign="bottom">491</td>
</tr>
<tr>
<td align="left" valign="bottom">2013</td>
<td align="center" valign="bottom">3,225</td>
<td align="center" valign="bottom">1843</td>
<td align="center" valign="bottom">1,382</td>
<td align="center" valign="bottom">31</td>
<td align="center" valign="bottom">173</td>
<td align="center" valign="bottom">562</td>
<td align="center" valign="bottom">1916</td>
<td align="center" valign="bottom">535</td>
</tr>
<tr>
<td align="left" valign="bottom">2014</td>
<td align="center" valign="bottom">3,197</td>
<td align="center" valign="bottom">1773</td>
<td align="center" valign="bottom">1,424</td>
<td align="center" valign="bottom">25</td>
<td align="center" valign="bottom">180</td>
<td align="center" valign="bottom">589</td>
<td align="center" valign="bottom">1889</td>
<td align="center" valign="bottom">507</td>
</tr>
<tr>
<td align="left" valign="bottom">2015</td>
<td align="center" valign="bottom">3,219</td>
<td align="center" valign="bottom">1878</td>
<td align="center" valign="bottom">1,341</td>
<td align="center" valign="bottom">39</td>
<td align="center" valign="bottom">196</td>
<td align="center" valign="bottom">552</td>
<td align="center" valign="bottom">1914</td>
<td align="center" valign="bottom">507</td>
</tr>
<tr>
<td align="left" valign="bottom">2016</td>
<td align="center" valign="bottom">3,406</td>
<td align="center" valign="bottom">1896</td>
<td align="center" valign="bottom">1,510</td>
<td align="center" valign="bottom">37</td>
<td align="center" valign="bottom">227</td>
<td align="center" valign="bottom">615</td>
<td align="center" valign="bottom">1974</td>
<td align="center" valign="bottom">541</td>
</tr>
<tr>
<td align="left" valign="bottom">2017</td>
<td align="center" valign="bottom">3,204</td>
<td align="center" valign="bottom">1778</td>
<td align="center" valign="bottom">1,426</td>
<td align="center" valign="bottom">33</td>
<td align="center" valign="bottom">213</td>
<td align="center" valign="bottom">575</td>
<td align="center" valign="bottom">1835</td>
<td align="center" valign="bottom">533</td>
</tr>
<tr>
<td align="left" valign="bottom">2018</td>
<td align="center" valign="bottom">3,252</td>
<td align="center" valign="bottom">1816</td>
<td align="center" valign="bottom">1,436</td>
<td align="center" valign="bottom">31</td>
<td align="center" valign="bottom">195</td>
<td align="center" valign="bottom">588</td>
<td align="center" valign="bottom">1853</td>
<td align="center" valign="bottom">568</td>
</tr>
<tr>
<td align="left" valign="bottom">2019</td>
<td align="center" valign="bottom">3,288</td>
<td align="center" valign="bottom">1879</td>
<td align="center" valign="bottom">1,409</td>
<td align="center" valign="bottom">35</td>
<td align="center" valign="bottom">209</td>
<td align="center" valign="bottom">587</td>
<td align="center" valign="bottom">1832</td>
<td align="center" valign="bottom">616</td>
</tr>
<tr>
<td align="left" valign="bottom">2020</td>
<td align="center" valign="bottom">3,566</td>
<td align="center" valign="bottom">1948</td>
<td align="center" valign="bottom">1,618</td>
<td align="center" valign="bottom">42</td>
<td align="center" valign="bottom">234</td>
<td align="center" valign="bottom">639</td>
<td align="center" valign="bottom">1998</td>
<td align="center" valign="bottom">648</td>
</tr>
<tr>
<td align="left" valign="bottom">2021</td>
<td align="center" valign="bottom">3,627</td>
<td align="center" valign="bottom">1918</td>
<td align="center" valign="bottom">1709</td>
<td align="center" valign="bottom">39</td>
<td align="center" valign="bottom">235</td>
<td align="center" valign="bottom">686</td>
<td align="center" valign="bottom">1924</td>
<td align="center" valign="bottom">704</td>
</tr>
<tr>
<td align="left" valign="bottom">2022</td>
<td align="center" valign="bottom">3,377</td>
<td align="center" valign="bottom">1904</td>
<td align="center" valign="bottom">1,473</td>
<td align="center" valign="bottom">42</td>
<td align="center" valign="bottom">212</td>
<td align="center" valign="bottom">624</td>
<td align="center" valign="bottom">1790</td>
<td align="center" valign="bottom">665</td>
</tr>
<tr>
<td align="left" valign="bottom">Total:</td>
<td align="center" valign="bottom">85,930</td>
<td align="center" valign="bottom">49,647</td>
<td align="center" valign="bottom">36,283</td>
<td align="center" valign="bottom">816</td>
<td align="center" valign="bottom">4,489</td>
<td align="center" valign="bottom">15,945</td>
<td align="center" valign="bottom">52,127</td>
<td align="center" valign="bottom">12,242</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Overall, the NSAH-related AAMR decreased between 1999 and 2022 (AAPC: &#x2212;1.81&#x002A;, 95% CI: &#x2212;2.12 to &#x2212;1.55) (<xref ref-type="fig" rid="fig1">Figure 1</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 1</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 1</xref>). Overall AAMR decreased from 2.33 in 1999 to 1.36 in 2014 (APC: &#x2212;3.53&#x002A;, 95% CI: &#x2212;4.08 to &#x2212;3.15), indicating a significant reduction in mortality. AAMR then increased insignificantly to 1.45 in 2022 as a tentative observation (APC: 1.50, 95% CI: 0.39 to 3.16) but still represented a downward trend throughout the study period (<xref ref-type="fig" rid="fig1">Figure 1</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 1</xref>). These short-term fluctuations require further investigation, but overall, long-term decline in NSAH-related mortality occurred between 1999 and 2022 in the US.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Multiple Joinpoint model of overall NSAH mortality between 1999 and 2022.</p></caption>
<graphic xlink:href="fneur-16-1646709-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graph showing subarachnoid hemorrhage-related mortality from 1999 to 2022. The y-axis displays age-adjusted rate, while the x-axis represents years. The overall trend indicates a decline from 1999 to 2014, marked by a negative annual percent change of negative 3.53 percent, followed by an upward trend from 2014 to 2022 with a positive annual percent change of 1.50 percent. Blue dots represent data points.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec12">
<title>Sex</title>
<p>Females had consistently higher AAMRs than males throughout the study period (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 1</xref>). However, females did have a larger decrease in overall mortality than men between 1999 and 2022, respectively (AAPC &#x2212;2.25&#x002A;, &#x2212;1.36&#x002A; respectively) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 1</xref>; <xref ref-type="fig" rid="fig2">Figure 2</xref>). Men&#x2019;s AAMR decreased significantly from 1.9 in 1999 to 1.21 in 2013 (APC: &#x2212;2.94&#x002A;, 95% CI: &#x2212;4.44 to &#x2212;2.20), but proceeded to increase to 1.25 in 2022, a brief temporal trend noted in this study&#x2019;s results (APC: 1.16, 95% CI: &#x2212;0.31 to 5.09) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 1</xref>; <xref ref-type="fig" rid="fig2">Figure 2</xref>). Females experienced a decline in AAMR from 1999 to 2014, with the value dropping from 2.73 to 1.49 (APC: &#x2212;4.02&#x002A;, 95% CI: &#x2212;4.52 to &#x2212;3.61) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 1</xref>; <xref ref-type="fig" rid="fig2">Figure 2</xref>). Female AAMR proceeded to increase to 1.64 in 2022, however, which is a tentative observation that must be further evaluated (APC: 1.15, 95% CI: &#x2212;0.09 to 3.14) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 1</xref>; <xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Multiple Joinpoint model of NSAH mortality stratified by sex between 1999 and 2022.</p></caption>
<graphic xlink:href="fneur-16-1646709-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graph titled Subarachnoid Hemorrhage-Related Gender Mortality 1999-2022 shows age-adjusted mortality rates from 1999 to 2022 for females and males. Females, represented by blue dots, show a decline in mortality rate from 2.76 in 1999 to around 1.58 in 2014, then an upward trend. Males, shown by green triangles, decline from 1.78 in 1999 to about 1.18 in 2013, then stabilize. The average percent change (APC) for females is -4.02% and 1.15%, and for males -2.94% and 1.16% in respective periods.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec13">
<title>Race</title>
<p>Throughout the study, there was wide variation in NSAH-related AAMR across different racial groups, with Black or African American patients and American Indian or Alaskan Native patients having the highest AAMRs overall (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 2</xref>).</p>
<p>American Indian or Alaska Native patients experienced a decrease in AAMR from 2.43 in 1999 to 1.63 in 2018 (APC: &#x2212;2.03&#x002A;, 95% CI: &#x2212;8.42 to &#x2212;0.47), but a short-term rise to 2.63 in 2022 (APC: 12.16, 95% CI: &#x2212;0.23 to 40.73) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>). This represents an overall increase in NSAH-related AAMR among Native American patients between 1999 and 2022, although shorter term observations must be further analyzed (AAPC: 0.30, 95% CI: &#x2212;1.72 to 1.79) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Multiple Joinpoint model of NSAH mortality stratified by race between 1999 and 2022.</p></caption>
<graphic xlink:href="fneur-16-1646709-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graph showing age-adjusted subarachnoid hemorrhage-related mortality rates by race from 1999 to 2022. Lines represent different racial groups with corresponding joinpoints and annual percent changes. Rates generally decline, with specific trends noted for American Indian or Alaska Native, Asian or Pacific Islander, Black or African American, White, and Hispanic or Latino populations. The x-axis displays years, and the y-axis indicates the age-adjusted rate. Trends and changes are plotted with distinct colors and symbols to differentiate each racial group.</alt-text>
</graphic>
</fig>
<p>Asian or Pacific Islander NSAH patients experienced a decrease in AAMR from 2.26 in 1999 to 1.36 in 2014 (APC: &#x2212;2.67&#x002A;, 95% CI: &#x2212;7.33 to &#x2212;1.22) but a subsequent increase to 1.36 in 2022 (APC: 0.15, 95% CI: &#x2212;1.86 to 7.60) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>). This represents an overall decrease in NSAH-related AAMR among Asian or Pacific Islander patients between 1999 and 2022, with some short-interval fluctuations throughout the study period (AAPC: &#x2212;1.69&#x002A;, 95% CI: &#x2212;2.40 to &#x2212;1.01) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<p>Black or African American NSAH patients experienced a decrease in AAMR from 4.01 in 1999 to 1.95 in 2015 (APC: &#x2212;4.40&#x002A;, 95% CI: &#x2212;5.03 to &#x2212;3.92) but a subsequent increase to 2.16 in 2022 (APC: 2.05&#x002A;, 95% CI: 0.36 to 5.30) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>). This represents an overall decrease in NSAH-related AAMR among Black or African American patients between 1999 and 2022, with short-term fluctuations that require further analysis (AAPC: &#x2212;2.48&#x002A;, 95% CI: &#x2212;2.86 to &#x2212;2.14) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<p>White patients experienced a decrease in AAMR from 2.02 in 1999 to 1.21 in 2013 (APC: &#x2212;3.71&#x002A;, 95% CI: &#x2212;4.33 to &#x2212;3.23), followed by little change in AAMR at 1.20 in 2022 (APC: 0.52, 95% CI: &#x2212;0.50 to 2.34) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>). This represents an overall decrease in NSAH-related AAMR among White patients between 1999 and 2022, with outside factors potentially contributing to the tentative trends found within the study period (AAPC: &#x2212;2.07&#x002A;, 95% CI: &#x2212;2.38 to &#x2212;1.79) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<p>Hispanic or Latino NSAH patients experienced a short-term decrease in AAMR from 2.60 in 1999 to 1.52 in 2015 (APC: &#x2212;3.29&#x002A;, 95% CI: &#x2212;3.81 to &#x2212;2.86) followed by a short-term increase to 1.67 in 2022 (APC: 2.30&#x002A;, 95% CI: 1.01 to 4.31) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>). This represents an overall decrease in NSAH-related AAMR among Hispanic or Latino patients between 1999 and 2022, with short-term fluctuations throughout the study period (AAPC: &#x2212;1.62&#x002A;, 95% CI: &#x2212;1.91 to &#x2212;1.33) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
</sec>
<sec id="sec14">
<title>Region</title>
<p>Through 1999 to 2020, deaths caused by NSAH in the young-adult population decreased significantly in all regions, with AAPCs of &#x2212;2.67 (CI 95%: &#x2212;3.11, &#x2212;2.24) in Northeast, &#x2212;2.64 (CI 95%: &#x2212;3.13, &#x2212;2.25) in Midwest, &#x2212;1.9649 (CI 95%: &#x2212;2.51, &#x2212;1.54) in South, &#x2212;1.9426 (CI 95%: &#x2212;2.45, &#x2212;1.43) in West, respectively, (<xref ref-type="fig" rid="fig4">Figure 4</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 3</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Multiple Joinpoint model of NSAH mortality stratified by US Census Region between 1999 and 2022.</p></caption>
<graphic xlink:href="fneur-16-1646709-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graph depicting age-adjusted mortality rates for subarachnoid hemorrhage from 1999 to 2022 across U.S. census regions: Northeast, Midwest, South, and West. Each region shows distinct trends with joinpoints indicating significant changes in the average percentage change (APC). Rates generally decline over time, with variations across regions as noted in the legend.</alt-text>
</graphic>
</fig>
<p>In 1999, the highest AAMR was observed in the South (2.53 deaths per 100,000 people), while the lowest was in the Northeast (2.06 deaths per 100,000 people) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref>). The Northeast region AAMR tentatively decreased from 2.06 in 1999 to 1.31 in 2012 (APC: &#x2212;3.79&#x002A;, 95% CI: &#x2212;5.01 to &#x2212;3.19) and short-term decreased again to 1.28 in 2020 (APC: &#x2212;0.82&#x002A;, 95% CI: &#x2212;2.21 to 2.89) (<xref ref-type="fig" rid="fig4">Figure 4</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref>). The Northeast saw a significant decrease in AAMR from 1999 to 2012, but the short-term fluctuations leveled off between 2012 and 2020 (<xref ref-type="fig" rid="fig4">Figure 4</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref>).</p>
<p>The Midwest region AAMR temporarily decreased from 2.29 in 1999 to 1.35 in 2013 (APC: &#x2212;3.75&#x002A;, 95% CI: &#x2212;5.17 to &#x2212;3.22) and decreased in the short-term again to 1.40 in 2020 (APC: &#x2212;0.38&#x002A;, 95% CI: &#x2212;2.20 to 5.27) (<xref ref-type="fig" rid="fig4">Figure 4</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref>). These fluctuations represented an overall decrease throughout the study period (<xref ref-type="fig" rid="fig4">Figure 4</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref>).</p>
<p>The South region AAMR decreased from 2.53 in 1999 to 1.29 in 2015 (APC: &#x2212;3.5777&#x002A;, 95% CI: &#x2212;4.44 to &#x2212;3.03) and then increased to 1.68 in 2020 (APC: 3.38&#x002A;, 95% CI: 0.15 to 12.22) (<xref ref-type="fig" rid="fig4">Figure 4</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref>). These represent tentative observations in the data, and represent an overall decrease in NSAH-related mortality (<xref ref-type="fig" rid="fig4">Figure 4</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref>).</p>
<p>The West region AAMR tentatively decreased from 2.23 in 1999 to 1.45 in 2011 (APC: &#x2212;3.43&#x002A;, 95% CI: &#x2212;5.37 to &#x2212;2.54), and saw a short-term increase to 1.51 in 2020 (APC: 0.07&#x002A;, 95% CI: &#x2212;1.26 to 4.13) (<xref ref-type="fig" rid="fig4">Figure 4</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref>). The West, similar to the Northeast and saw an overall decrease in NSAH-related mortality, despite short-term fluctuations throughout the study period (<xref ref-type="fig" rid="fig4">Figure 4</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref>).</p>
</sec>
<sec id="sec15">
<title>State</title>
<p>From 1999 to 2022, most of U.S. states experienced a significant decline in AAMRs from NSAH. States like California, Arizona, and Alabama demonstrated some of the most dramatic improvements. For instance, California&#x2019;s AAMR dropped from 2.37 per 100,000 in 1999 to 0.08 in 2022, while Arizona went from 2.17 to 0.17, and Alabama from 2.88 to 0.22. These represent sustained and substantial public health gains.</p>
<p>Similarly, states like Georgia, Michigan, and Florida also showed consistent downward trends over the 23-year period. Florida&#x2019;s AAMR, for example, decreased from 2.46 in 1999 to 0.11 in 2022, despite a temporary uptick to 2.01 in 2020.</p>
<p>However, not all states followed a steady path. Several, such as Hawaii, Indiana, and Mississippi, saw intermediate spikes in AAMRs. These changes represent tentative observations, those of which need further investigation to establish as true trends. Hawaii&#x2019;s rate rose from 2.53 in 1999 to 3.78 in 2020 before plunging to just 0.06 in 2022. A similar trend occurred in Indiana, where AAMR rose from 1.49 to 2.14 between 1999 and 2020, then fell sharply to 0.17 by 2022. Several states&#x2014;including Alaska, Montana, Rhode Island, South Dakota, North Dakota, District of Columbia and Wyoming&#x2014;had missing or unreliable data in multiple years. This limits the ability to evaluate trends in those locations with confidence. State-level data in NSAH-related mortality is represented in <xref rid="SM1" ref-type="supplementary-material">Supplementary Figures 4, 5</xref>.</p>
</sec>
<sec id="sec16">
<title>Rural vs. urban</title>
<p>The AAMR for NSAH showed a general decline in both urban and rural areas from 1999 to 2020 (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 6</xref>).</p>
<p>In urban areas, the NSAH-related AAMR temporarily decreased from 2.35 deaths per 100,000 people in 1999 to 1.37 in 2013 (APC: &#x2212;3.78&#x002A;, 95% CI: &#x2212;4.44 to &#x2212;3.30), and then increased in the short term to 1.46 in 2020 (APC: 0.39, 95% CI: &#x2212;1.11 to 3.83) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 4</xref>; <xref ref-type="fig" rid="fig5">Figure 5</xref>). Similarly, rural areas experienced an initial tentative decline in NSAH-related AAMR from 2.22 in 1999 to 1.53 in 2012 (APC: -2.94, 95% CI: &#x2212;6.45 to 1.15) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 4</xref>; <xref ref-type="fig" rid="fig5">Figure 5</xref>). Rural areas proceeded to see a subsequent short-term decrease in NSAH-related AAMR to 1.47 in 2018 (APC: -0.59, 95% CI: &#x2212;5.33 to 1.44) but then saw a tentative increase to 1.82 in 2020 (APC: 10.48&#x002A;, 95% CI: 1.46 to 16.81) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 4</xref>; <xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption><p>Multiple Joinpoint model of NSAH mortality stratified by rural vs. urban classification between 1999 and 2022.</p></caption>
<graphic xlink:href="fneur-16-1646709-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graph titled "Subarachnoid Hemorrhage-Related Urban/Rural Mortality 1999-2022" showing age-adjusted mortality rates. Urban data in blue shows a decline from 1999 to 2013 and a slight rise afterward. Rural data in green shows a decline from 1999 to 2012 with fluctuations and an increase from 2018 to 2020. The legend indicates average percent changes (APC) with urban at -3.78% initially and rural at -2.94% initially, shifting to 10.48% from 2018 to 2020. Vertical axis ranges from 1.0 to 2.4, horizontal from 1998 to 2022.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec17">
<title>Age</title>
<p>The crude mortality rate for NSAH showed a declining trend across all age groups from 1999 to 2022, though the degree of reduction varied by age (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 7</xref>). The 55&#x2013;64 age group consistently had the highest crude mortality rates throughout the study period (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 7</xref>).</p>
<p>In the 15&#x2013;24 age group, the crude mortality rate remained relatively low throughout the study period but declined from 0.2 per 100,000 in 1999 to 0.09 in 2022 (APC: &#x2212;2.01&#x002A;, 95% CI: &#x2212;3.06 to &#x2212;1.06) (<xref ref-type="fig" rid="fig6">Figure 6</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption><p>Multiple Joinpoint model of NSAH mortality stratified by 10-year age groups between 1999 and 2022.</p></caption>
<graphic xlink:href="fneur-16-1646709-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line chart showing subarachnoid hemorrhage-related mortality rates by age group from 1999 to 2022. Age groups 15-24, 25-34, 35-44, 45-54, and 55-64 have different trends with annual percentage changes (APC) noted. The 45-54 age group, in pink, shows significant decline initially, then a slight increase post-2015. The 55-64 group, in gray, also shows a decrease. Details on joinpoints and APC for each group are included in the legend. Rates are measured by crude rate on the vertical axis and years on the horizontal axis.</alt-text>
</graphic>
</fig>
<p>For individuals aged 25&#x2013;34&#x202F;years, the crude mortality rate initially decreased from 0.68 in 1999 to 0.45 in 2014 (APC: &#x2212;2.83&#x002A;, 95% CI: &#x2212;3.97 to &#x2212;2.20) and then increased slightly in the short term to 0.46 in 2022 (APC: 1.33, 95% CI: &#x2212;0.30 to 5.15) (<xref ref-type="fig" rid="fig6">Figure 6</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>). Among those 35&#x2013;44&#x202F;years old, the crude mortality rate tentatively decreased from 2.38 in 1999 to 1.23 in 2013 (APC: &#x2212;4.37&#x002A;, 95% CI: &#x2212;5.46 to &#x2212;3.67), but then increased slightly in the short term to 1.3 in 2022 (APC: 0.49, 95% CI: &#x2212;1.04 to 3.92) (<xref ref-type="fig" rid="fig6">Figure 6</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>).</p>
<p>In the 45&#x2013;54 age group, the crude mortality rate tentatively declined from 4.02 in 1999 to 2.37 in 2015 (APC: &#x2212;3.23&#x002A;, 95% CI: &#x2212;4.15 to &#x2212;2.72), then saw a short-term increase to 2.48 in 2022 (APC: 1.27, 95% CI: &#x2212;0.79 to 8.04) (<xref ref-type="fig" rid="fig6">Figure 6</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>). For the 55&#x2013;64 age group, the crude mortality rate tentatively declined from 5.48 in 1999 to 3.46 in 2012 (APC: &#x2212;3.65&#x002A;, 95% CI: &#x2212;4.47 to &#x2212;3.00), but then significantly increased to 3.69 in 2022 (APC: 1.13&#x002A;, 95% CI: 0.27 to 2.50) (<xref ref-type="fig" rid="fig6">Figure 6</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>). These represent short-term fluctuations, but the overall trend in this age-group was a decline in NSAH-related mortality.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec18">
<title>Discussion</title>
<p>This study investigates mortality trends of NSAH among young adults aged 15&#x2013;64 in the United States between 1999 and 2022. The CDC WONDER dataset only provides mortality data related to specific causes of death. Therefore, all potential explanations for trends seen in reported data are hypotheses rather than conclusions. Moreover, due to the use of ICD-10 code I60, changes in relative proportions of aneurysmal vs. non-aneurysmal NSAH could influence observed mortality trends and conclusions.</p>
<p>Key findings in this research study show that the AAMR for NSAH experienced an overall decrease across the study period, with short-term fluctuations contributing to this pattern (AAPC: &#x2212;1.81&#x002A;, 95% CI: &#x2212;2.12 to &#x2212;1.55) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 1</xref>). This decline in NSAH-related mortality may reflect improved early detection, recent developments in management strategies, and vascular risk factor awareness, although the present study does not assess causal mechanisms (<xref ref-type="bibr" rid="ref1">1</xref>). However, NSAH-related mortality varies when comparing different demographic groups. The observed overall decrease in AAMR parallels findings seen in current literature. A previous study reports a decline in hospital admissions and case-fatality rates for nontraumatic SAH, largely attributing it to advances in aneurysm detection and treatment (<xref ref-type="bibr" rid="ref2">2</xref>). Research indicates that implementation of endovascular coiling combined with advanced hypertension management methods may have helped to significantly decrease mortality rates, and further studies should investigate this connection (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>Despite previous progress, there was a tentatively observed increase in AAMR numbers starting in 2014. Similar trends were noted in a study that reported a rising incidence of stroke in younger adults, attributed to lifestyle-related risk factors such as obesity, metabolic syndrome, as well as substance abuse (<xref ref-type="bibr" rid="ref4">4</xref>). The slight uptick in AAMR in more recent years could possibly be correlated with an increase in the prevalence of these risk factors, exacerbated by both healthcare access disparities as well as delayed interventions, but this requires further investigation.</p>
<p>During the research period, female study participants continuously displayed higher AAMRs than the male participants. The mortality rates of females dropped more extensively than male rates during this period. Additional studies have already shown that women display increased tendencies toward NSAH development (<xref ref-type="bibr" rid="ref5">5</xref>). The discrepancy between male and female AAMR rates may be a result of biological factors which regulate vascular function along with estrogen&#x2019;s impact on arterial walls. The greater overall reduction in female mortality compared to males (AAPC: &#x2212;2.25% vs. -1.36%) may suggest that interventions, such as controlling blood pressure and strict smoking cessation initiatives, can be particularly effective in the female population. Previous studies on stroke incidence have demonstrated sex-specific patterns that demand targeted prevention strategies based on sex (<xref ref-type="bibr" rid="ref15">15</xref>). Continued research in sex-specific prevention strategies are necessary to continue the downward mortality trend experienced by women and to continue to lower that of male patients as well.</p>
<p>Our study revealed substantial differences in NSAH-related AAMR between racial groups. The research demonstrates that Black or African American patients and American Indian or Alaska Native patients displayed the highest AAMRs throughout the study period due to documented racial health disparities in stroke literature (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref17">17</xref>). This is a between-group comparison in NSAH-related mortality based on demographic stratification. The AAMR rate among American Indian or Alaska Native patients experienced a concerning short-term increase following its initial temporary reduction which resulted in no significant total change (AAPC: 0.30). The combination of inadequate healthcare funding and high vascular risk factors and healthcare system obstacles in Indigenous communities could possibly explain these trends (<xref ref-type="bibr" rid="ref18">18</xref>). The small population size as well as possible limitation of data collection could also contribute to this potential trend. The changing trends toward higher AAMR in Black or African American and Hispanic or Latino groups could possibly indicate increased exposure to avoidable risk elements including substance abuse and hypertension from stress and inadequate healthcare services primarily in economically disadvantaged areas (<xref ref-type="bibr" rid="ref19">19</xref>). Further studies are indicated to investigate the connection between social risk factors and increased NSAH-related mortality among various racial and ethnic groups.</p>
<p>Regional analysis further reinforces the geographic dimension of health inequity. In the US, geographic disparities in stroke-related mortality are shaped by medical access, risk factor prevalence, as well as numerous historical, socioeconomic, and racial factors. The South&#x2019;s persistently highest AAMRs correspond with the well-established &#x201C;Stroke Belt,&#x201D; an area in the southeastern US with specific cultural, dietary, and socioeconomic factors that contribute to elevated cerebrovascular mortality (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). Notably, the South was the only region to experience a significant short-term increase in AAMR between 2015 and 2020, a pattern possibly exacerbated by uneven access to specialized stroke centers and preventive care (<xref ref-type="bibr" rid="ref21">21</xref>). These findings underscore the necessity of targeted, community-level interventions to mitigate rising risks in already vulnerable populations.</p>
<p>The overall AAMR numbers temporarily decreased between 2015 and 2020 in both rural and urban areas, but urban areas demonstrated a steadier downward trend throughout the entire study period. The data from rural areas showed inconsistent results due to a tentative rise in mortality between 2017 and 2020. This may be influenced by potential barriers in healthcare delivery, emergency response times, and specialist availability in rural areas in the US. These findings demonstrate support for previous research emphasizing how geographic variations impact stroke results and require localized public policy measures for substantial improvements but further investigate is needed to corroborate these hypotheses (<xref ref-type="bibr" rid="ref22">22</xref>).</p>
<p>Considering age-specific trends, the crude mortality rate for NSAH declined across all 10-year age groups (15&#x2013;24, 25&#x2013;34, 35&#x2013;44, 45&#x2013;54, and 55&#x2013;64) from 1999 to 2022. The age group spanning 55 to 64&#x202F;years old maintained the highest mortality rates throughout the study period while the 15 to 24 age group maintained the lowest rates. The mortality rates decreased consistently for all age groups, but the 45&#x2013;54 and 55&#x2013;64 age groups were observed to experience temporary increases between 2020 and 2021. These fluctuations may reflect age-related cumulative exposure to vascular risk factors such as hypertension, smoking, and alcohol use, which are known contributors to NSAH mortality in older adults (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref23">23</xref>). Moreover, delayed healthcare engagement during the COVID-19 pandemic may have further contributed to these short-term fluctuations increases in the years 2020&#x2013;2021 (<xref ref-type="bibr" rid="ref24">24</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec19">
<title>Conclusion</title>
<p>The observed overall decrease in NSAH-related mortality in young adults likely reflects advancements in neurosurgical care, vascular risk management, and aneurysm detection. However, persistent disparities across sex and, more notably, race and region underscore the potential influence of systemic factors, including access to healthcare, socioeconomic status, and prevalence of risk factors like hypertension, smoking, and alcohol use. Rising mortality rates in particular racial groups and the Southern census region highlight a need for targeted public health interventions. Knowledge of these temporal patterns and population demographics in NSAH mortality is critical to development of prevention measures, early detection, and post-bleeding care practices. These research findings show the necessity for continued monitoring of NSAH trends to guide public health care efforts and stroke prevention initiatives in younger adult populations.</p>
<sec id="sec20">
<title>Limitations</title>
<list list-type="order">
<list-item><p>Analysis relies on mortality data driven from the CDC WONDER database, which is based on death certificates. The accuracy of cause-of-death reporting on death certificates can vary because of misclassification or underreporting of contributing factors.</p></list-item>
<list-item><p>This study is focused on young adults aged 15 to 64&#x202F;years. Observed mortality trends cannot be generalizable for older populations/children/adolescents outside this specific age range.</p></list-item>
<list-item><p>Racial and ethnicity data are grouped into broad categories (White, Black or African American, Asian or Pacific Islander, and Hispanic or Latino), which may mask important variations or heterogeneity within these groups.</p></list-item>
<list-item><p>As noted in the methods and results section, data for certain states and specific demographic strata may be marked as unreliable, due to small values that are suppressed by the CDC WONDER database. This potentially limits the statistical power of analyses for these subgroups.</p></list-item>
<list-item><p>This study is an ecological analysis of population-level mortality data. As such, it can identify trends and disparities at a group level but cannot establish individual-level risk factors or causal relationships for the observed mortality patterns. Factors such as socioeconomic status, access to specialized medical care, and individual lifestyle choices, which are known to influence stroke risk and outcomes, could not be directly assessed using this database.</p></list-item>
<list-item><p>Beyond this, due to limitations of available research and data, some possible explanations for trends are based on sources more than 10&#x202F;years old. Although these are still valid sources and important points to make in this paper, certain areas of the literature could benefit from updates.</p></list-item>
</list>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec21">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found at: <ext-link xlink:href="https://wonder.cdc.gov/" ext-link-type="uri">https://wonder.cdc.gov/</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec22">
<title>Ethics statement</title>
<p>Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec23">
<title>Author contributions</title>
<p>OF: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SR: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. TK: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. VM: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. AA: Writing &#x2013; review &#x0026; editing. AJ: Writing &#x2013; review &#x0026; editing. MM: Writing &#x2013; review &#x0026; editing. AT: Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec24">
<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 funded by the Creighton University School of Medicine Department of Internal Medicine.</p>
</sec>
<ack>
<p>The authors would like to extend their gratitude to the Creighton University School of Medicine Department of Internal Medicine and Internal Medicine Research Interest Group for their support and funding of this manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="sec25">
<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="sec26">
<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>
</sec>
<sec sec-type="disclaimer" id="sec27">
<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>
<sec sec-type="supplementary-material" id="sec28">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fneur.2025.1646709/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fneur.2025.1646709/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Datasheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr"><p>NSAH, Nontraumatic subarachnoid hemorrhage; US, United States; CDC WONDER, Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research; AAMR, Age-adjusted mortality rate; APC, Annual Percent Change; AAPC, Average Annual Percent Change; CI, Confidence Interval; IRB, Institutional Review Board.</p></fn>
</fn-group>
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