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<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1537671</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Time trends in mortality of congenital heart disease in children aged 0&#x02013;14 years: a global, regional, and national cohort analysis from 1990 to 2021 using the global burden of disease study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Xu</surname> <given-names>Jiaoli</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Li</surname> <given-names>Qinhong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
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<name><surname>Xiong</surname> <given-names>Jingxuan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Cheng</surname> <given-names>Zugen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Deng</surname> <given-names>Lili</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Cardiology, Kunming Children&#x00027;s Hospital</institution>, <addr-line>Kunming</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming</institution>, <addr-line>Yunnan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Respiratory Medicine, Kunming Children&#x00027;s Hospital, Kunming</institution>, <addr-line>Yunnan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Momcilo Jankovic, Fondazione MBBM, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Gabriela Corina Zaharie, University of Medicine and Pharmacy Iuliu Hatieganu, Romania</p>
<p>Cecilia Salzillo, University of Campania Luigi Vanvitelli, Italy</p>
<p>Nithya Swaminathan, Le Bonheur Children&#x00027;s Hospital, United States</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Zugen Cheng <email>czg18702693862&#x00040;outlook.com</email></corresp>
<corresp id="c002">Lili Deng <email>676253354&#x00040;qq.com</email></corresp>
<fn fn-type="equal" id="fn001"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1537671</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>12</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Xu, Li, Xiong, Cheng and Deng.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Xu, Li, Xiong, Cheng and Deng</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>
<title>Introduction</title>
<p>Congenital heart disease (CHD) represents a significant global public health burden, with substantial variability in mortality rates across different regions and age groups.</p></sec>
<sec>
<title>Methods</title>
<p>This study utilized the Global Burden of Disease (GBD) database to examine trends in CHD-related mortality among children aged 0-14 from 1990 to 2021.</p></sec>
<sec>
<title>Results</title>
<p>We report a 55.34% reduction in CHD-related deaths among children, with global mortality rates decreasing from 28.63 per 100,000 in 1990 to 11.06 per 100,000 in 2021. Notably, the decline in mortality was more pronounced in younger children, with the highest burden observed in the Low socio-demographic index (SDI) region, where CHD-related mortality rates remain disproportionately high. In contrast, the high SDI region experienced the greatest improvements in mortality reduction. Regional disparities are also evident, with South Asia bearing the highest number of CHD-related deaths, while Oceania exhibited the highest mortality rate.</p></sec>
<sec>
<title>Discussion</title>
<p>These trends underscore the need for continued global efforts to reduce CHD-related mortality, particularly in low-income regions, and to address the disparities in healthcare access and outcomes. Our findings highlight the ongoing challenges in pediatric cardiology and the need for targeted interventions to sustain improvements in CHD survival, especially for neonates and infants.</p></sec></abstract>
<kwd-group>
<kwd>mortality</kwd>
<kwd>childhood</kwd>
<kwd>congenital heart disease (CHD)</kwd>
<kwd>public health</kwd>
<kwd>GBD (global burden disease)</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="10"/>
<word-count count="6241"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Children and Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Congenital heart disease (CHD), also referred to as congenital heart defects, encompasses a group of congenital anomalies of the cardiovascular system arising from abnormal or disrupted cardiac and large vessel development during early embryogenesis (<xref ref-type="bibr" rid="B1">1</xref>). This diverse array of conditions, ranging from simple to complex malformations, represents the most common birth defect, affecting &#x0007E;1% of live births (<xref ref-type="bibr" rid="B2">2</xref>) and contributing to 30% of fetal deaths (<xref ref-type="bibr" rid="B3">3</xref>). Despite extensive research to elucidate the origins of CHD, the causes of most cases remain elusive. However, advances in cardiac diagnostics, and interventional, and surgical techniques have led to notable declines in CHD mortality (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Globally, a significant decline in CHD-related mortality has been observed. For example, a Canadian cohort study reported a 30% decrease in all-cause mortality among CHD patients between 1987 and 2005 (<xref ref-type="bibr" rid="B5">5</xref>). Similarly, Lopez and colleagues demonstrated declining trends in overall CHD-attributed mortality in the United States (a 39% reduction), while highlighting persistent racial and ethnic disparities (<xref ref-type="bibr" rid="B6">6</xref>). These disparities are often compounded by socioeconomic inequalities in access to prenatal screening, specialized care, and post-operative rehabilitation services. Globally, the crude mortality rate for CHD fell from 7.1 per 100,000 in 1990 to 2.8 per 100,000 in 2019 (<xref ref-type="bibr" rid="B7">7</xref>). Data from Finland also indicated reduced early and late postoperative CHD mortality from 1990&#x02013;2009 compared to the 1953&#x02013;1989 period (<xref ref-type="bibr" rid="B8">8</xref>). Data from Belgium and Sweden suggest that a significant proportion of children born with CHD since the 1970s have survived into adulthood (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). However, such progress remains unevenly distributed, with lower- and middle-income countries facing disproportionately high mortality rates due to limited healthcare infrastructure and financial barriers.</p>
<p>Although CHD-related mortality has declined overall, CHD remains a highly heterogeneous condition. It includes both simple defects that require minimal intervention and more complex anomalies that demand intensive medical and surgical treatment from birth. Globally, an estimated 1.35 million newborns are affected by CHD each year (<xref ref-type="bibr" rid="B11">11</xref>), while in the United States, &#x0007E;2.4 million individuals are currently living with CHD (<xref ref-type="bibr" rid="B12">12</xref>). Annually, CHD accounts for around 250,000 deaths globally (<xref ref-type="bibr" rid="B13">13</xref>). A national database study focused on neonates with hypoplastic left heart syndrome (HLHS) observed a 20% decline in mortality from 1998&#x02013;2005 to 2006&#x02013;2014 (<xref ref-type="bibr" rid="B14">14</xref>). Yet, over the past decade, declines in CHD mortality rates have started to plateau. Despite ongoing advancements in surgical techniques and critical care, neonatal mortality associated with severe CHD remains alarmingly high. Recent estimates indicate that &#x0007E;24.5% of neonatal deaths are attributable to CHD (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>These trends highlight the significant burden of CHD on affected individuals and their families, particularly in resource-limited settings where socioeconomic inequalities amplify disease severity and mortality risk. The Global Burden of Disease (GBD) Study reported 217,000 CHD-related deaths worldwide in 2019 (<xref ref-type="bibr" rid="B16">16</xref>), emphasizing the importance of reducing CHD mortality to mitigate the broader burden of noncommunicable diseases. There have been no comprehensive studies of long-term global epidemiological trends in childhood CHD. Here, we utilize the GBD database to analyze trends in CHD-related mortality among children aged 0&#x02013;14 from 1990 to 2021. It is anticipated that insights from GBD 2021 estimates will contribute to a better understanding of the CHD burden, thereby guiding public health initiatives to alleviate this condition.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Overview and data collection</title>
<p>This study was approved by the Ethical Committee of Kunming Children&#x00027;s Hospital, which granted a waiver of informed consent since it involved only analysis of de-identified data. Data on CHD among children aged 0&#x02013;14 years&#x02014;including standardized disease definitions and mortality information&#x02014;were obtained from the Global Health Data Exchange Query Tool developed by the GBD collaborators (<ext-link ext-link-type="uri" xlink:href="https://vizhub.healthdata.org/gbd-results/">https://vizhub.healthdata.org/gbd-results/</ext-link>). We collected data on CHD-related mortality cases and corresponding rates at global, regional, and national levels. As the GBD database does not collect information on participants&#x00027; race and ethnicity, such data were not included in our analysis. The average estimated annual percentage change (EAPC) was calculated using linear regression (<xref ref-type="bibr" rid="B17">17</xref>). Our study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
<sec>
<title>Sociodemographic index</title>
<p>This study aims to evaluate the socio-economic development levels of countries and regions through the sociodemographic index (SDI), a composite measure based on total fertility rate, average years of education, and per capita income (<xref ref-type="bibr" rid="B19">19</xref>). The SDI ranges from 0 to 1, with higher values indicating greater socio-economic development. Based on the SDI, countries and regions were classified into five levels: low, low-middle, middle, middle-high, and high, to explore the relationship between socio-economic development and the mortality burden of CHD in children. CHD mortality data were obtained from the GBD database, and countries and regions were categorized according to their SDI values during the study period. We further conducted a comparative analysis of CHD mortality rates across different SDI levels to reveal the impact of socio-economic development disparities on CHD mortality in children.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Mortality rates and their corresponding ratios serve as key indicators of the burden of CHD in children. According to the GBD methodology, incidence rates are reported per 100,000 individuals, along with 95% uncertainty intervals (UIs). The EAPC was calculated to evaluate temporal trends in the burden of pediatric CHD. Linear modeling was subsequently employed to determine the 95% confidence interval (CI) of the EAPC (<xref ref-type="bibr" rid="B20">20</xref>). If both the upper and lower bounds of the 95% CI for the EAPC are negative, it indicates a decreasing trend in mortality. Conversely, if both bounds are positive, it suggests an increasing trend in mortality (<xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Leading causes of mortality in children under 14 years of age attributed to congenital anomalies, 1990&#x02013;2021</title>
<p>In 2021, congenital anomalies posed a significant burden on global child mortality. Among children under the age of five, CHD accounted for the highest mortality rate (31.03; 95% UI, 25.11&#x02013;38.81), whereas orofacial clefts had the lowest (0.26; 95% UI, 0.07&#x02013;0.67). In the 5&#x02013;9-year age group, CHD remained the leading cause of death due to congenital anomalies (1.43; 95% UI, 1.19&#x02013;1.77), while urogenital congenital anomalies had the lowest mortality (0.01; 95% UI, 0.01&#x02013;0.02). A similar trend was observed among 10&#x02013;14-year-olds, with CHD again exhibiting the highest mortality rate (1.26; 95% UI, 1.07&#x02013;1.55), while urogenital congenital anomalies had the lowest rate (0.01; 95% UI, 0.01&#x02013;0.01; <xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Age-specific mortality rates and proportional contributions of congenital anomalies. <bold>(A)</bold> Death rate. <bold>(B)</bold> Death percentage.</p></caption>
<alt-text>Bar charts compare congenital anomalies&#x00027; impact on death rates and percentages across three age groups: less than 5, 5&#x02013;9, and 10&#x02013;14 years. Categories include heart anomalies, Down syndrome, and neural tube defects, among others, with a color-coded legend.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1537671-g0001.tif"/>
</fig>
<p>These findings emphasize that CHD consistently represents the highest mortality rate among congenital birth defects in children under 14 years. Importantly, the mortality rate associated with CHD demonstrated a declining trend with increasing age, underscoring the heightened vulnerability of younger children to these conditions.</p>
</sec>
<sec>
<title>Global trends in CHD mortality, 1990&#x02013;2021</title>
<p>In 2021, the global number of CHD-related deaths among children under 14 years of age was 222,415.18 (95% UI, 181,358.96&#x02013;275,182.31), indicating a substantial reduction of 55.34% (23.46&#x02013;65.60) from 497,979.20 (95% UI, 282,165.57&#x02013;642,052.05) in 1990. Notably, the mortality rate due to CHD decreased from 28.63 (95% UI, 16.22&#x02013;36.92) per 100,000 in 1990 to 11.06 (95% UI, 9.01&#x02013;13.68) per 100,000 in 2021, with an EAPC of &#x02212;2.57 (95% CI, &#x02212;2.74 to &#x02212;2.41; <xref ref-type="table" rid="T1">Table 1</xref>). This trend highlights substantial progress in pediatric healthcare and interventions over the past three decades.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Global and regional burden of congenital heart disease mortality in children under 14 years between 1990 and 2021.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left" rowspan="2"><bold>Location</bold></th>
<th valign="top" align="center" colspan="2"><bold>1990 (95% UI)</bold></th>
<th valign="top" align="center" colspan="2"><bold>2021 (95% UI)</bold></th>
<th valign="top" align="center" rowspan="2"><bold>Cases change</bold></th>
<th valign="top" align="center" rowspan="2"><bold>EAPC<sup>a</sup></bold></th>
</tr>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="center"><bold>Deaths cases</bold></th>
<th valign="top" align="center"><bold>Deaths rate</bold></th>
<th valign="top" align="center"><bold>Deaths cases</bold></th>
<th valign="top" align="center"><bold>Deaths rate</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Global</td>
<td valign="top" align="center">497,979.20 (282,165.57, 642,052.05)</td>
<td valign="top" align="center">28.63 (16.22, 36.92)</td>
<td valign="top" align="center">222,415.18 (181,358.96, 275,182.31)</td>
<td valign="top" align="center">11.06 (9.01, 13.68)</td>
<td valign="top" align="center">&#x02212;55.34 (&#x02212;65.60, &#x02212;23.46)</td>
<td valign="top" align="center">&#x02212;2.57 (&#x02212;2.74, &#x02212;2.41)</td>
</tr>
<tr>
<td valign="top" align="left">High SDI</td>
<td valign="top" align="center">19,278.02 (16,530.66, 21,072.99)</td>
<td valign="top" align="center">10.38 (8.90, 11.34)</td>
<td valign="top" align="center">4,082.73 (3,323.73, 4,958.15)</td>
<td valign="top" align="center">2.37 (1.93, 2.87)</td>
<td valign="top" align="center">&#x02212;78.82 (&#x02212;83.26, &#x02212;72.45)</td>
<td valign="top" align="center">&#x02212;4.30 (&#x02212;4.50, &#x02212;4.10)</td>
</tr>
<tr>
<td valign="top" align="left">High-middle SDI</td>
<td valign="top" align="center">74,119.96 (51,730.46, 91,930.31)</td>
<td valign="top" align="center">27.09 (18.91, 33.60)</td>
<td valign="top" align="center">11,657.25 (9,504.67, 14,097.48)</td>
<td valign="top" align="center">5.05 (4.12, 6.11)</td>
<td valign="top" align="center">&#x02212;84.27 (&#x02212;88.41, &#x02212;74.88)</td>
<td valign="top" align="center">&#x02212;4.87 (&#x02212;5.15, &#x02212;4.59)</td>
</tr>
<tr>
<td valign="top" align="left">Middle SDI</td>
<td valign="top" align="center">161,973.93 (99,771.51, 214,783.75)</td>
<td valign="top" align="center">28.06 (17.29, 37.21)</td>
<td valign="top" align="center">45,808.92 (37,937.52, 56,010.44)</td>
<td valign="top" align="center">8.08 (6.69, 9.88)</td>
<td valign="top" align="center">&#x02212;71.72 (&#x02212;79.60, &#x02212;46.10)</td>
<td valign="top" align="center">&#x02212;3.29 (&#x02212;3.52, &#x02212;3.06)</td>
</tr>
<tr>
<td valign="top" align="left">Low-middle SDI</td>
<td valign="top" align="center">152,059.30 (80,501.32, 207,295.95)</td>
<td valign="top" align="center">32.21 (17.05, 43.91)</td>
<td valign="top" align="center">74,173.96 (57,959.56, 93,683.43)</td>
<td valign="top" align="center">12.79 (10.00, 16.16)</td>
<td valign="top" align="center">&#x02212;51.22 (&#x02212;64.78, 5.88)</td>
<td valign="top" align="center">&#x02212;2.50 (&#x02212;2.67, &#x02212;2.33)</td>
</tr>
<tr>
<td valign="top" align="left">Low SDI</td>
<td valign="top" align="center">90,138.59 (31,961.88, 132,359.15)</td>
<td valign="top" align="center">39.38 (13.96, 57.82)</td>
<td valign="top" align="center">86,447.02 (59,760.01, 117,370.19)</td>
<td valign="top" align="center">18.78 (12.98, 25.50)</td>
<td valign="top" align="center">&#x02212;4.10 (&#x02212;27.20, 94.53)</td>
<td valign="top" align="center">&#x02212;2.18 (&#x02212;2.29, &#x02212;2.07)</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="7"><bold>Regions</bold></td>
</tr>
<tr>
<td valign="top" align="left">Andean Latin America</td>
<td valign="top" align="center">5,089.87 (2,721.57, 6,654.80)</td>
<td valign="top" align="center">34.27 (18.32, 44.81)</td>
<td valign="top" align="center">2,197.30 (1,645.21, 2,828.72)</td>
<td valign="top" align="center">12.14 (9.09, 15.63)</td>
<td valign="top" align="center">&#x02212;56.83 (&#x02212;70.62, &#x02212;10.09)</td>
<td valign="top" align="center">&#x02212;2.62 (&#x02212;2.85, &#x02212;2.39)</td>
</tr>
<tr>
<td valign="top" align="left">Australasia</td>
<td valign="top" align="center">247.36,(225.17, 275.87)</td>
<td valign="top" align="center">5.39 (4.91, 6.02)</td>
<td valign="top" align="center">94.57 (68.07, 119.49)</td>
<td valign="top" align="center">1.65 (1.19, 2.08)</td>
<td valign="top" align="center">&#x02212;61.77 (&#x02212;72.89, &#x02212;51.55)</td>
<td valign="top" align="center">&#x02212;3.34 (&#x02212;3.60, &#x02212;3.09)</td>
</tr>
<tr>
<td valign="top" align="left">Caribbean</td>
<td valign="top" align="center">3,819.15 (2,887.57, 4,817.15)</td>
<td valign="top" align="center">33.46 (25.30, 42.21)</td>
<td valign="top" align="center">2,386.60 (1,480.83, 3,944.34)</td>
<td valign="top" align="center">20.74 (12.87, 34.28)</td>
<td valign="top" align="center">&#x02212;37.51 (&#x02212;57.37, 4.17)</td>
<td valign="top" align="center">&#x02212;1.11 (&#x02212;1.40, &#x02212;0.83)</td>
</tr>
<tr>
<td valign="top" align="left">Central Asia</td>
<td valign="top" align="center">4,022.44 (3,461.62, 4,563.80)</td>
<td valign="top" align="center">16.10 (13.85, 18.26)</td>
<td valign="top" align="center">4,284.33 (3,344.08, 5,336.06)</td>
<td valign="top" align="center">15.48 (12.08, 19.28)</td>
<td valign="top" align="center">6.51 (&#x02212;14.42, 31.63)</td>
<td valign="top" align="center">0.92 (0.61, 1.23)</td>
</tr>
<tr>
<td valign="top" align="left">Central Europe</td>
<td valign="top" align="center">4,746.81 (4,050.35, 5,291.02)</td>
<td valign="top" align="center">16.10 (13.74, 17.95)</td>
<td valign="top" align="center">666.39 (537.45, 788.14)</td>
<td valign="top" align="center">3.76 (3.04, 4.45)</td>
<td valign="top" align="center">&#x02212;85.96 (&#x02212;89.64, &#x02212;82.71)</td>
<td valign="top" align="center">&#x02212;4.28 (&#x02212;4.41, &#x02212;4.15)</td>
</tr>
<tr>
<td valign="top" align="left">Central Latin America</td>
<td valign="top" align="center">11,547.42 (10,113.01, 13,189.37)</td>
<td valign="top" align="center">17.94 (15.71, 20.49)</td>
<td valign="top" align="center">7,498.30 (5,749.45, 9,612.47)</td>
<td valign="top" align="center">11.81 (9.06, 15.14)</td>
<td valign="top" align="center">&#x02212;35.07 (&#x02212;51.53, &#x02212;13.73)</td>
<td valign="top" align="center">&#x02212;0.97 (&#x02212;1.22, &#x02212;0.73)</td>
</tr>
<tr>
<td valign="top" align="left">Central Sub-Saharan Africa</td>
<td valign="top" align="center">7,625.78 (2,259.92, 13,924.86)</td>
<td valign="top" align="center">30.14 (8.93, 55.04)</td>
<td valign="top" align="center">6,126.04 (3,809.62, 9,930.28)</td>
<td valign="top" align="center">10.44 (6.49, 16.92)</td>
<td valign="top" align="center">&#x02212;19.67 (&#x02212;42.83, 92.55)</td>
<td valign="top" align="center">&#x02212;2.98 (&#x02212;3.31, &#x02212;2.64)</td>
</tr>
<tr>
<td valign="top" align="left">East Asia</td>
<td valign="top" align="center">116,856.43 (72,956.38, 162,097.09)</td>
<td valign="top" align="center">35.43 (22.12, 49.15)</td>
<td valign="top" align="center">14,478.92 (11,062.88, 18,949.03)</td>
<td valign="top" align="center">5.42 (4.14, 7.09)</td>
<td valign="top" align="center">&#x02212;87.61 (&#x02212;91.90, &#x02212;76.35)</td>
<td valign="top" align="center">&#x02212;5.32 (&#x02212;5.62, &#x02212;5.02)</td>
</tr>
<tr>
<td valign="top" align="left">Eastern Europe</td>
<td valign="top" align="center">7,149.89 (6,294.60, 8,669.64)</td>
<td valign="top" align="center">13.89 (12.23, 16.85)</td>
<td valign="top" align="center">1,200.87 (965.51, 1,509.94)</td>
<td valign="top" align="center">3.39 (2.72, 4.26)</td>
<td valign="top" align="center">&#x02212;83.20 (&#x02212;87.82, &#x02212;77.70)</td>
<td valign="top" align="center">&#x02212;3.53 (&#x02212;4.42, &#x02212;2.64)</td>
</tr>
<tr>
<td valign="top" align="left">Eastern Sub-Saharan Africa</td>
<td valign="top" align="center">28,236.43 (7,624.44, 54,649.63)</td>
<td valign="top" align="center">31.18 (8.42, 60.34)</td>
<td valign="top" align="center">22,426.76 (13,651.88, 40,236.17)</td>
<td valign="top" align="center">12.57 (7.65, 22.55)</td>
<td valign="top" align="center">&#x02212;20.58 (&#x02212;45.11, 106.34)</td>
<td valign="top" align="center">&#x02212;2.67 (&#x02212;2.79, &#x02212;2.56)</td>
</tr>
<tr>
<td valign="top" align="left">High-income Asia Pacific</td>
<td valign="top" align="center">3,361.71 (2,689.73, 3,821.10)</td>
<td valign="top" align="center">9.55 (7.64, 10.86)</td>
<td valign="top" align="center">367.58 (281.22, 495.19)</td>
<td valign="top" align="center">1.64 (1.25, 2.21)</td>
<td valign="top" align="center">&#x02212;89.07 (&#x02212;91.16, &#x02212;82.43)</td>
<td valign="top" align="center">&#x02212;5.35 (&#x02212;5.54, &#x02212;5.17)</td>
</tr>
<tr>
<td valign="top" align="left">High-income North America</td>
<td valign="top" align="center">4,910.01 (4,186.40, 5,383.74)</td>
<td valign="top" align="center">7.96 (6.79, 8.73)</td>
<td valign="top" align="center">1,598.78 (1,323.10, 1,996.92)</td>
<td valign="top" align="center">2.44 (2.02, 3.04)</td>
<td valign="top" align="center">&#x02212;67.44 (&#x02212;73.83, &#x02212;56.01)</td>
<td valign="top" align="center">&#x02212;3.24 (&#x02212;3.48, &#x02212;3.00)</td>
</tr>
<tr>
<td valign="top" align="left">North Africa and Middle East</td>
<td valign="top" align="center">94,197.46 (41,643.56, 133,933.60)</td>
<td valign="top" align="center">67.05 (29.64, 95.34)</td>
<td valign="top" align="center">33,239.69 (26,354.03, 41,207.74)</td>
<td valign="top" align="center">18.13 (14.38, 22.48)</td>
<td valign="top" align="center">&#x02212;64.71 (&#x02212;74.71, &#x02212;31.11)</td>
<td valign="top" align="center">&#x02212;3.56 (&#x02212;3.81, &#x02212;3.30)</td>
</tr>
<tr>
<td valign="top" align="left">Oceania</td>
<td valign="top" align="center">981.87 (336.63, 1,465.71)</td>
<td valign="top" align="center">36.64 (12.56, 54.69)</td>
<td valign="top" align="center">1,651.69 (679.22, 2,509.70)</td>
<td valign="top" align="center">32.51 (13.37, 49.40)</td>
<td valign="top" align="center">68.22 (27.94, 135.62)</td>
<td valign="top" align="center">&#x02212;0.22 (&#x02212;0.36, &#x02212;0.07)</td>
</tr>
<tr>
<td valign="top" align="left">South Asia</td>
<td valign="top" align="center">110,569.39 (69,282.14, 148,838.95)</td>
<td valign="top" align="center">25.51 (15.99, 34.35)</td>
<td valign="top" align="center">51,311.96 (36,235.38, 72,898.22)</td>
<td valign="top" align="center">10.12 (7.15, 14.38)</td>
<td valign="top" align="center">&#x02212;53.59 (&#x02212;68.41, 1.50)</td>
<td valign="top" align="center">&#x02212;2.53 (&#x02212;2.69, &#x02212;2.38)</td>
</tr>
<tr>
<td valign="top" align="left">Southeast Asia</td>
<td valign="top" align="center">43,886.43 (20,947.85, 59,470.11)</td>
<td valign="top" align="center">25.70 (12.27, 34.83)</td>
<td valign="top" align="center">20,342.99 (16,612.67, 25,296.64)</td>
<td valign="top" align="center">11.78 (9.62, 14.65)</td>
<td valign="top" align="center">&#x02212;53.65 (&#x02212;66.15, &#x02212;1.74)</td>
<td valign="top" align="center">&#x02212;2.41 (&#x02212;2.53, &#x02212;2.29)</td>
</tr>
<tr>
<td valign="top" align="left">Southern Latin America</td>
<td valign="top" align="center">2,027.10 (1,687.38, 2,398.01)</td>
<td valign="top" align="center">13.58 (11.30, 16.07)</td>
<td valign="top" align="center">860.56 (694.66, 1,058.04)</td>
<td valign="top" align="center">5.94 (4.79, 7.30)</td>
<td valign="top" align="center">&#x02212;57.55 (&#x02212;67.77, &#x02212;44.90)</td>
<td valign="top" align="center">&#x02212;2.00 (&#x02212;2.36, &#x02212;1.64)</td>
</tr>
<tr>
<td valign="top" align="left">Southern Sub-Saharan Africa</td>
<td valign="top" align="center">1,802.11 (1,461.69, 2,353.87)</td>
<td valign="top" align="center">8.71 (7.06, 11.38)</td>
<td valign="top" align="center">1,486.40 (976.98, 2,014.74)</td>
<td valign="top" align="center">6.18 (4.06, 8.37)</td>
<td valign="top" align="center">&#x02212;17.52 (&#x02212;42.11, 19.74)</td>
<td valign="top" align="center">&#x02212;0.52 (&#x02212;0.71, &#x02212;0.32)</td>
</tr>
<tr>
<td valign="top" align="left">Tropical Latin America</td>
<td valign="top" align="center">8,050.03 (6,812.99, 9,340.62)</td>
<td valign="top" align="center">15.01 (12.71, 17.42)</td>
<td valign="top" align="center">4,653.01 (3,700.77, 5,710.17)</td>
<td valign="top" align="center">9.27 (7.37, 11.38)</td>
<td valign="top" align="center">&#x02212;42.20 (&#x02212;56.69, &#x02212;24.64)</td>
<td valign="top" align="center">&#x02212;0.77 (&#x02212;1.16, &#x02212;0.37)</td>
</tr>
<tr>
<td valign="top" align="left">Western Europe</td>
<td valign="top" align="center">6,132.21 (5,246.36, 6,694.04)</td>
<td valign="top" align="center">8.63 (7.39, 9.43)</td>
<td valign="top" align="center">1,357.54 (1,068.19, 1,674.87)</td>
<td valign="top" align="center">1.99 (1.57, 2.46)</td>
<td valign="top" align="center">&#x02212;77.86 (&#x02212;83.21, &#x02212;70.92)</td>
<td valign="top" align="center">&#x02212;4.55 (&#x02212;4.71, &#x02212;4.38)</td>
</tr>
<tr>
<td valign="top" align="left">Western Sub-Saharan Africa</td>
<td valign="top" align="center">32,719.31 (82,84.07, 50,360.46)</td>
<td valign="top" align="center">37.23 (9.43, 57.31)</td>
<td valign="top" align="center">44,184.91 (25,693.22, 62,761.45)</td>
<td valign="top" align="center">20.57 (11.96, 29.22)</td>
<td valign="top" align="center">35.04 (2.51, 231.80)</td>
<td valign="top" align="center">&#x02212;1.52 (&#x02212;1.69, &#x02212;1.36)</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>EAPC, estimated annual percentage change; SDI, sociodemographic index; UI, uncertainty interval. EAPC<sup>a</sup> is expressed as 95% CIs.</p>
</table-wrap-foot>
</table-wrap>
<p>In 2021, CHD-related deaths among children under 5 years of age were reported at 204,222.9 (95% UI, 165,238.47&#x02013;255,409.19), representing a 56.19% (24.74&#x02013;66.44) decline from 466,156.65 (95% UI, 261,282.55&#x02013;601,016.42) in 1990. The mortality rate decreased from 75.19 (95% UI, 42.15&#x02013;96.95) per 100,000 in 1990 to 31.03 (95% UI, 25.11&#x02013;38.81) per 100,000 in 2021, with an EAPC of &#x02212;2.58 (95% CI, &#x02212;2.70 to &#x02212;2.47; <xref ref-type="supplementary-material" rid="SM3">Supplementary Table S1</xref>). This significant decline may be attributed to advancements in early diagnosis, improved surgical techniques, and enhanced access to pediatric cardiac care.</p>
<p>For children aged 5&#x02013;9 years, CHD-related deaths in 2021 were reported at 9,824.63 (95% UI, 8,141.66&#x02013;12,141.51), indicating a 51.13% (16.43&#x02013;62.42) reduction from 20,102.32 (95% UI, 12,638.47&#x02013;25,808.87) in 1990. Correspondingly, the mortality rate dropped from 3.44 (95% UI, 2.17&#x02013;4.42) per 100,000 in 1990 to 1.43 (95% UI, 1.19&#x02013;1.77) per 100,000 in 2021, with an EAPC of &#x02212;2.61 (95% CI, &#x02212;2.75 to &#x02212;2.46; <xref ref-type="supplementary-material" rid="SM4">Supplementary Table S2</xref>). This trend underscores the effectiveness of ongoing efforts to improve pediatric healthcare outcomes for school-aged children.</p>
<p>Among children aged 10&#x02013;14 years, there were 8,367.58 (95% UI, 7,122.57&#x02013;10,337.39) CHD-related deaths in 2021, representing a 28.61% (3.65&#x02013;42.54) reduction from 11,720.23 (95% UI, 8,561.76&#x02013;14,300.85) in 1990. The mortality rate decreased from 2.19 (95% UI, 1.60&#x02013;2.67) per 100,000 in 1990 to 1.26 (95% UI, 1.07&#x02013;1.55) per 100,000 in 2021, with an EAPC of &#x02212;1.64 (95% CI, &#x02212;1.73 to &#x02212;1.56; <xref ref-type="supplementary-material" rid="SM5">Supplementary Table S3</xref>).</p>
</sec>
<sec>
<title>Congenital heart disease in children: SDI regional trends</title>
<p>In 1990, the highest number of CHD-related deaths among children aged 0&#x02013;14 years was recorded in the middle SDI region, with an estimated 161,973.93 deaths (95% UI, 99,771.51&#x02013;214,783.75). In contrast, the high SDI region recorded the lowest number of CHD-related deaths, at 19,278.02 (95% UI, 16,530.66&#x02013;21,072.99). Notably, by 2021, the region with the highest number of CHD-related deaths among children aged 0&#x02013;14 years had shifted to the low SDI region, with 86,447.02 deaths (95% UI, 59,760.01&#x02013;117,370.19). The high SDI region continued to report the lowest number of deaths, at 4,082.73 (95% UI, 3,323.73&#x02013;4,958.15). The CHD mortality rate was highest in the low SDI region, at 18.78 per 100,000 (95% UI, 12.98&#x02013;25.50), while the high SDI region had the lowest rate, at 2.37 per 100,000 (95% UI, 1.93&#x02013;2.87). Of particular interest, the high-middle SDI region experienced the lowest annual percentage change in CHD-related mortality (EAPC), at &#x02212;4.87 (95% CI, &#x02212;5.15 to &#x02212;4.59). In 2021, both boys and girls aged 0&#x02013;14 years exhibited the highest CHD mortality rates in the low SDI region (<xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="fig" rid="F2">Figure 2B</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Epidemiologic trends in childhood CHD mortality across five SDI regions (1990&#x02013;2021). <bold>(A)</bold> Trends in children aged 0&#x02013;5; <bold>(B)</bold> trends in children aged 0&#x02013;14.</p></caption>
<alt-text>Line charts depict death rates from 1990 to 2020 for different socio-demographic index (SDI) levels. Chart A shows overall, female, and male rates, while chart B focuses on a lower range of death rates. Each chart presents global, high, high-middle, middle, low-middle, and low SDI trends. All lines show a general decline over time.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1537671-g0002.tif"/>
</fig>
<p>Among children aged 0&#x02013;5 years, CHD-related mortality declined significantly between 1990 and 2021 across three of the five SDI regions: high SDI, high-middle SDI, and middle SDI, each showing reductions exceeding 70%. However, the low SDI region experienced only a modest decrease of 5.58%. The high-middle SDI region recorded the lowest EAPC, at &#x02212;5.31 (95% CI, &#x02212;5.65 to &#x02212;4.97). In 2021, CHD mortality rates among both boys and girls aged 0&#x02013;5 years were highest in the low SDI region (<xref ref-type="supplementary-material" rid="SM3">Supplementary Table S1</xref> and <xref ref-type="fig" rid="F2">Figure 2A</xref>). For children aged 5&#x02013;9 years in 2021, the highest number of CHD-related deaths was observed in the low SDI region, with 3,311.10 deaths (95% UI, 2,504.89&#x02013;4,452.94), whereas the high SDI region had the lowest number of deaths, at 214.33 (95% UI, 173.33&#x02013;262.14). The high-middle SDI region also exhibited the lowest EAPC, at &#x02212;4.15 (95% CI, &#x02212;4.30 to &#x02212;3.99). In 2021, the CHD mortality rates for boys and girls aged 5&#x02013;9 years were highest in the low SDI region (<xref ref-type="supplementary-material" rid="SM4">Supplementary Table S2</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1A</xref>). Finally, in children aged 10&#x02013;14 years in 2021, CHD-related deaths were most prevalent in the low-middle SDI region, with 2,735.81 deaths (95% UI, 2,242.86&#x02013;3,535.26). By comparison, the high SDI region had the lowest number of deaths, at 230.00 (95% UI, 202.56&#x02013;279.28), and also recorded the lowest EAPC, at &#x02212;3.52 (95% CI, &#x02212;3.67 to &#x02212;3.37). Importantly, the CHD mortality rates for boys and girls aged 10&#x02013;14 years remained highest in the low SDI region (<xref ref-type="supplementary-material" rid="SM5">Supplementary Table S3</xref> and <xref ref-type="supplementary-material" rid="SM2">Supplementary Figure S1B</xref>).</p>
</sec>
<sec>
<title>CHD in children: geographic regional trends</title>
<p>In 2021, CHD mortality among children aged 0&#x02013;14 years demonstrated substantial regional variation worldwide. Australasia reported the lowest number of CHD-related deaths, with an estimated 94.57 cases (95% UI, 68.07&#x02013;119.49), while South Asia bore the highest burden, with 51,311.96 deaths (95% UI, 36,235.38&#x02013;72,898.22). The lowest CHD mortality rate was observed in the High-income Asia Pacific region, at 1.64 per 100,000 population (95% UI, 1.25&#x02013;2.21), whereas Oceania recorded the highest rate, at 32.51 per 100,000 population (95% UI, 13.37&#x02013;49.40). The High-income Asia Pacific region notably exhibited the most significant decline in the EAPC of CHD mortality, with a value of &#x02212;5.35 (95% CI, &#x02212;5.54 to &#x02212;5.17). In contrast, Central Asia experienced the highest EAPC, at 0.92 (95% CI, 0.61&#x02013;1.23), indicating a modest increase in CHD-related deaths. In 2021, the global SDI was estimated at 0.67, with a corresponding global average CHD mortality rate of 11.06 per 100,000 population. Nine regions exhibited CHD mortality rates above the global average, whereas 12 regions had mortality rates below the global mean, underscoring disparities in the burden of CHD across different socio-demographic settings (<xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="fig" rid="F2">Figure 2</xref>). Additionally, between 1990 and 2021, all 21 regions experienced declining mortality rates to varying extents (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Mortality trends of childhood CHD: a global and regional analysis from 1990 to 2021.</p></caption>
<alt-text>Bar chart showing deaths across global regions from 1990 to 2021, categorized by years with different colors. Notable peaks are seen in Central Asia, North Africa and Middle East, and Sub-Saharan Africa.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1537671-g0003.tif"/>
</fig>
</sec>
<sec>
<title>CHD in children: national trends</title>
<p>In 2021, San Marino reported the lowest number of CHD-related deaths among children aged 0&#x02013;14 years, with an estimated 0.02 cases (95% UI, 0&#x02013;0.03). In contrast, India recorded the highest number of CHD-related deaths, with 35,232 cases (95% UI, 25,272&#x02013;50,611). Afghanistan had the highest CHD mortality rate, 59.1 per 100,000 (95% UI, 28.98&#x02013;84.46), while San Marino had the lowest mortality rate at 0.45 per 100,000 (95% UI, 0.25 to 0.80). Lesotho reported the lowest proportion of CHD deaths, accounting for just 1% of total deaths (95% UI, 0.01&#x02013;0.02), whereas Panama had the highest proportion, reaching 14% (95% UI, 12%&#x02212;16%). Regarding the EAPC, Saudi Arabia showed the most significant decline, with an EAPC of &#x02212;7.89 (95% CI, &#x02212;8.03 to &#x02212;7.75), while Guatemala had the highest increase, with an EAPC of 3.23 (95% CI, 2.43&#x02013;4.05; <xref ref-type="fig" rid="F4">Figure 4</xref> and <xref ref-type="supplementary-material" rid="SM6">Supplementary Table S4</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Death cases, mortality rates, and proportional burden of childhood CHD in 204 countries and territories. <bold>(A)</bold> Death cases; <bold>(B)</bold> mortality rates; <bold>(C)</bold> proportion.</p></caption>
<alt-text>Three world maps labeled A, B, and C display data related to death statistics. Map A shows death cases, shading countries from light blue (0.329&#x02013;6.68) to dark red (3271&#x02013;35232). Map B indicates death rate, with colors from light blue (0.97&#x02013;1.86) to dark red (21.23&#x02013;59.13). Map C presents deaths in percentage, using light blue (0.013-0.024) to dark red (0.113&#x02013;0.143) as a gradient. Each map uses a color gradient to represent varying data levels across countries.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1537671-g0004.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This study analyzed the mortality rates and trends of CHD among children aged 0&#x02013;14 years across global regions and countries from 1990 to 2021, highlighting the current burden of CHD in areas with varying income levels. Despite a general decline in global mortality rates of pediatric CHD over the past three decades, CHD remains the leading cause of death from congenital anomalies in children under 14, particularly in low SDI regions. These findings underscore the urgency of addressing this persistent health challenge.</p>
<p>Our data reveal that the global number of CHD-related deaths decreased from &#x0007E;498,000 in 1990 to 222,000 in 2021, with the mortality rate dropping from 28.63 to 11.06 per 100,000 population&#x02014;a mean annual percentage change of &#x02212;2.57%. However, this decline was not uniform across regions and countries; low-SDI areas continue to exhibit high mortality rates with limited decreases. For instance, Afghanistan recorded the highest CHD mortality rate, while San Marino had the lowest. Saudi Arabia achieved the most significant mortality reduction, whereas Guatemala experienced an increase. This disparity likely reflects differences in healthcare resource allocation and the capacity of health systems worldwide.</p>
<p>Advancements in medical technology have played a crucial role in reducing CHD mortality rates. High-income countries have improved cardiac diagnostic methods and developed sophisticated surgical interventions, enabling most CHD cases to receive accurate diagnosis and corrective treatment, thereby significantly enhancing prognosis (<xref ref-type="bibr" rid="B22">22</xref>). However, CHD exhibits substantial individual variability, especially in complex and compound malformations, necessitating personalized treatment plans based on severity and hemodynamic status. Early diagnosis and timely intervention remain paramount but are often challenging to implement in resource-limited settings (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Our findings align with previous studies. In 2017, 69% of all CHD-related deaths occurred in infants under 1 year old, representing a 34.5% decrease from 398,580 cases in 1990 (<xref ref-type="bibr" rid="B13">13</xref>). The 2019 GBD study also reported a 42.7% reduction in CHD deaths, from 378,000 in 1990 to 217,000 in 2019 (<xref ref-type="bibr" rid="B16">16</xref>). Additionally, heart failure remains a significant complication among CHD patients (<xref ref-type="bibr" rid="B24">24</xref>). Studies indicate that at least 50% of CHD patients develop right ventricular dysfunction, such as in cases of congenitally corrected transposition of the great arteries (l-TGA) (<xref ref-type="bibr" rid="B25">25</xref>). Wang et al. (<xref ref-type="bibr" rid="B26">26</xref>) reported that among 14,982 adult CHD patients aged &#x02265;40 years in Quebec, Canada, 12.2% were hospitalized for heart failure, with 23% dying within 1 year post-admission.</p>
<p>Notably, some low-SDI countries have seen an upward trend in CHD mortality among children (e.g., Mali, SDI = 0.27), possibly due to limited medical infrastructure hindering early diagnosis and timely treatment. These regions may face challenges such as inadequate healthcare resources, shortage of specialized personnel, and weak health infrastructure, highlighting gaps that need urgent attention.</p>
<p>In this study exploring CHD&#x00027;s epidemiological characteristics and trends, we did not include data on pregnancy termination rates and related policies across different countries or regions, which may significantly influence CHD prevalence and outcomes. Previous studies indicate substantial variability in national and regional policies regarding pregnancy termination following prenatal diagnosis (<xref ref-type="bibr" rid="B27">27</xref>). Regions with restrictive pregnancy termination policies may experience higher live birth rates of severe CHD cases, thereby increasing CHD prevalence among live births. Conversely, regions with more permissive policies typically report lower prevalence and mortality rates. The absence of analysis regarding this factor may limit the generalizability and depth of our study&#x00027;s conclusions.</p>
<p>The etiology of CHD is believed to involve both genetic and environmental factors. Approximately 15% of CHD cases are attributable to single-gene mutations and chromosomal abnormalities (<xref ref-type="bibr" rid="B28">28</xref>). Critical transcription factors like NKX2.5, TBX5, and GATA4 play vital roles during heart development by regulating downstream gene expression; their anomalies can lead to CHD (<xref ref-type="bibr" rid="B29">29</xref>). Moreover, exposure to biological, chemical, or physical environmental factors during the first 8 weeks of embryonic development&#x02014;when the four-chambered heart forms&#x02014;can increase the risk of CHD (<xref ref-type="bibr" rid="B30">30</xref>). Additionally, while the precise etiology of CHD remains incompletely understood, the evidence clearly links prenatal exposure to known teratogenic factors&#x02014;including alcohol, tobacco (<xref ref-type="bibr" rid="B31">31</xref>), certain medications (<xref ref-type="bibr" rid="B32">32</xref>), and environmental pollutants (<xref ref-type="bibr" rid="B33">33</xref>)&#x02014;to increased risks of fetal CHD. For instance, maternal smoking in early pregnancy is closely associated with conditions such as tetralogy of Fallot and pulmonary valve stenosis, whereas prenatal alcohol consumption significantly elevates the risk of ventricular and atrial septal defects. Given the significance of these harmful exposures in the etiology of CHD, the current study&#x00027;s lack of detailed analysis regarding their specific contribution to disease burden constitutes another important limitation.</p>
<p>In light of these findings, reducing the global burden of CHD requires comprehensive strategies. Strengthening prenatal care and providing health education can lower CHD incidence. Simultaneously, policymakers and healthcare institutions must invest in improving pediatric cardiac care in resource-limited regions, including training specialists, enhancing medical infrastructure, and adopting appropriate medical technologies.</p>
<p>In conclusion, CHD remains a significant global health challenge affecting children&#x00027;s health, especially in low-SDI areas. Our study emphasizes the importance of continued efforts to reduce CHD-related mortality worldwide. Through collaborative, multi-sectoral interventions, it is possible further to mitigate the impact of CHD on child health.</p>
<sec>
<title>Limitations and future directions</title>
<p>While this study provides valuable insights into pediatric CHD, it has several noteworthy limitations that should be addressed in future research. Primarily, our analysis relies heavily on the GBD database, whose accuracy is constrained by factors such as the limited availability and reliability of national registry data, the substantial number of undiagnosed CHD cases in children, and the absence of information on other risk factors related to pediatric CHD. Additionally, our dataset lacks details on the specific subtypes of congenital heart disease, preventing a more granular analysis.</p>
<p>To overcome these limitations and enhance our understanding of the global burden of pediatric CHD, future studies should focus on improving data collection and reporting mechanisms, especially in resource-limited settings. Strengthening national registries to ensure comprehensive and accurate data capture would provide a more robust foundation for analysis. Enhancing early diagnosis and screening programs can help identify undiagnosed cases, offering a more complete picture of disease prevalence. Furthermore, obtaining detailed information on CHD subtypes and associated risk factors would contribute to a deeper understanding of the disease&#x00027;s etiology and progression. Addressing these challenges is essential for developing more effective public health strategies aimed at improving cardiovascular health outcomes for children worldwide.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>This comprehensive analysis of global trends in CHD mortality among children from 1990 to 2021 highlights significant progress in reducing CHD-related deaths, with an overall decline of 55.34%. Advances in early diagnosis, surgical interventions, and improved pediatric cardiac care have substantially decreased mortality rates across most regions.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>This study was approved by the Ethical Committee of Kunming Children&#x00027;s Hospital. Written informed consent from the [patients/participants OR patients/participants legal guardian/next of kin] was not required to participate in this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>JXu: Methodology, Writing &#x02013; original draft. QL: Resources, Writing &#x02013; original draft. JXi: Conceptualization, Writing &#x02013; original draft. ZC: Software, Validation, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. LD: Data curation, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x00027;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="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2025.1537671/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpubh.2025.1537671/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.tif" id="SM1" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure S1</label>
<caption><p>Epidemiologic trends in childhood CHD mortality across five SDI regions (1990&#x02013;2021). <bold>(A)</bold> Trends in children aged 5&#x02013;9; <bold>(B)</bold> trends in children aged 10&#x02013;14.</p></caption> </supplementary-material>
<supplementary-material xlink:href="Image_2.tif" id="SM2" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure S2</label>
<caption><p>National burden and EAPC of childhood CHD mortality in 204 countries.</p></caption> </supplementary-material>
<supplementary-material xlink:href="Table_1.docx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table S1</label>
<caption><p>Mortality from congenital heart disease in children under 5 years between 1990 and 2021 at the global and regional level.</p></caption> </supplementary-material>
<supplementary-material xlink:href="Table_2.docx" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table S2</label>
<caption><p>Mortality from congenital heart disease in children aged 5&#x02013;9 years between 1990 and 2021 at the global and regional level.</p></caption> </supplementary-material>
<supplementary-material xlink:href="Table_3.docx" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table S3</label>
<caption><p>Mortality from congenital heart disease in children aged 10&#x02013;14 years between 1990 and 2021 at the global and regional level.</p></caption> </supplementary-material>
<supplementary-material xlink:href="Table_4.docx" id="SM6" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table S4</label>
<caption><p>Mortality of congenital heart disease in children aged 0&#x02013;14 years between 1990 and 2021 at the national level.</p></caption> </supplementary-material></sec>
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