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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1650997</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Global, regional and national burden of interstitial lung disease and pulmonary sarcoidosis, 1990&#x2013;2021 and projection to 2040</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xinxin</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3107475/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<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>Zhuang</surname>
<given-names>Yanting</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xie</surname>
<given-names>Yizi</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liao</surname>
<given-names>Gang</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liang</surname>
<given-names>Huiqiu</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wen</surname>
<given-names>Wujin</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Yuguang</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Xiufang</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lian</surname>
<given-names>Leshen</given-names>
</name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Qian</surname>
<given-names>Xusheng</given-names>
</name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhan</surname>
<given-names>Shaofeng</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/1260660/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>The First Affiliated Hospital, Guangzhou University of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>The First Clinical Medical School, Guangzhou University of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Lingnan Medical Research Centre of Guangzhou University of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Guangdong Provincial Clinical Research Academy of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>Dongguan Hospital Affiliated to Guangzhou University of Chinese Medicine</institution>, <addr-line>Dongguan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0004">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/559773/overview">Kaijian Hou</ext-link>, Shantou University, China</p>
</fn>
<fn fn-type="edited-by" id="fn0005">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2415249/overview">Carlos Feijoo-Mass&#x00F3;</ext-link>, Instituto de Investigaci&#x00F3;n e Innovaci&#x00F3;n Parc Taul&#x00ED; (I3PT), Spain</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2042638/overview">Yukai Wang</ext-link>, Shantou Central Hospital, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Leshen Lian, <email>5298596@qq.com</email>; Xusheng Qian, <email>245900064@qq.com</email>; Shaofeng Zhan, <email>zsfstone@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1650997</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Zhang, Zhuang, Xie, Liao, Liang, Wen, Chen, Huang, Lian, Qian and Zhan.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhang, Zhuang, Xie, Liao, Liang, Wen, Chen, Huang, Lian, Qian and Zhan</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>Background</title>
<p>Interstitial lung disease and pulmonary sarcoidosis (ILD&#x0026;PS) represent a group of respiratory diseases characterized by high heterogeneity and substantial burden. In this study, we conducted a comprehensive analysis of burden with ILD&#x0026;PS and provided estimates for 2040.</p>
</sec>
<sec>
<title>Methods</title>
<p>Prevalence, incidence, disability-adjusted life years (DALYs), and deaths were analyzed at global, regional, and national levels using GBD 2021 data. Subgroup analyses were performed by age and gender to assess the quantity of global burden and trends. The BAPC model was used to forecast the worldwide disease load until 2040.</p>
</sec>
<sec>
<title>Results</title>
<p>From 1990 to 2021, global prevalence, incidence, DALYs, and mortality rates of ILD&#x0026;PS increased by 128% (1887445.26 to 4306627.72), 148% (157,441.17 to 390,267.11), 169% (1,501,028.43 to 4,042,150.49), and 242% (54,967.23 to 188,222.37), respectively. Furthermore, the corresponding age-standardized rates (ASRs) also showed an upward trend. Additionally, the burden in Australasia and Andean Latin America varied greatly at the regional level, with ASRs burden increasing highest in high sociodemographic index (SDI) region over the previous 32 years. Correlation analysis revealed a positive correlation between ASR burden and SDI. Subgroup analysis showed a higher burden in adults over 50 and consistently greater burden in males than females.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The overall burden of ILD&#x0026;PS increased from 1990 to 2021, and by 2040, the ASRs burden were expected to progressively normalize. Policymakers should give prevention and treatment measures top priority, paying special attention to high-burden areas and populations.</p>
</sec>
</abstract>
<kwd-group>
<kwd>interstitial lung disease and pulmonary sarcoidosis</kwd>
<kwd>global burden of disease</kwd>
<kwd>epidemiology</kwd>
<kwd>prediction</kwd>
<kwd>trend</kwd>
</kwd-group>
<contract-sponsor id="cn1">Sanming Project of Medicine in Shenzhen<named-content content-type="fundref-id">10.13039/501100012151</named-content></contract-sponsor>
<counts>
<fig-count count="9"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="59"/>
<page-count count="16"/>
<word-count count="8802"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pulmonary Medicine</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Interstitial lung disease and pulmonary sarcoidosis (ILD&#x0026;PS) are major respiratory health issues that affect people all over the world. They are defined by chronic conditions that affect lung function and oxygen exchange due to scarring or inflammation (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Based on the Global Burden of Disease (GBD) 2019 study, an estimated 4.71 million people worldwide are afflicted by ILD&#x0026;PS in 2019, resulting in negative health and economic impacts (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>The rare idiopathic pulmonary fibrosis (IPF) is one of the many ailments that fall under the umbrella of interstitial lung diseases (ILDs), and there are differences in the ways that these conditions are treated. IPF patients usually experience a relentless progression of their illness (<xref ref-type="bibr" rid="ref4">4</xref>). Regardless of their distinct diagnostic labels, a notable percentage of other types of ILDs, between 15 and 40%, are expected to develop pulmonary fibrosis (<xref ref-type="bibr" rid="ref5">5</xref>). In addition, connective tissue disease-associated ILD is also a subtype of ILDs (<xref ref-type="bibr" rid="ref6">6</xref>). There is a certain association between ILDs and pulmonary sarcoidosis (PS), especially when it comes to smoking history and pathological characteristics (<xref ref-type="bibr" rid="ref7">7</xref>). Even though the inflammatory infiltrate of PS may eventually go away, persistent disease activity can result in pulmonary fibrosis (<xref ref-type="bibr" rid="ref8">8</xref>). Furthermore, over 10% of individuals with PS are likely to experience a progressive disease (<xref ref-type="bibr" rid="ref9">9</xref>). It is well-known treatment expenditures for IPF patients increase significantly over the course of 36&#x202F;months, with per capita drug prices growing from &#x20AC;1,442 to &#x20AC;11,000 in Germany (<xref ref-type="bibr" rid="ref10">10</xref>). In the context of ongoing research efforts into the detection, diagnosis, and therapeutic management of ILD&#x0026;PS, the substantial burden of these conditions continues to highlight the need for heightened attention and further research.</p>
<p>The GBD study is a timely assessment of key health outcomes that currently covers thousands of diseases, injuries and risk factors in more than 200 countries and 20 territories, giving us a unique perspective on the overall picture of disease and trends (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). Based on data from GBD 2021, this study analyzed the trends in health burden of ILD&#x0026;PS at the global, regional, and national levels between 1990 and 2021 by stratifying the data by age and gender. Prior research on GBD has largely focused on the disability-adjusted life year (DALYs) of the disease and regional levels of SDI (<xref ref-type="bibr" rid="ref13">13</xref>). The analysis will be expanded in this study to include age-standardized prevalence, incidence, DALYs and deaths. Additionally, this study also evaluated and projected the disease burden through 2040 to help guide the development of prevention and control strategies and to offer more insights into disease trends.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Data source</title>
<p>The GBD 2021 collects information from a number of nations and areas, including census data, health service contact data, and other reports and registered data. The basic characteristics of 371 illnesses and injuries are captured in this dataset, which spans 204 countries and territories and 811 subnational regions (<xref ref-type="bibr" rid="ref14">14</xref>). Using GBD2021 (accessed on 27 October 2024),<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> our study extracted pertinent data on ILD&#x0026;PS (Code: D86, J84) at the global, regional and national levels from 1990 to 2021. The exact ICD-10 classification codes can be accessed via the Institute for Health Metrics and Evaluation&#x2019;s (IHME) official online platform.<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref> As a multifaceted indicator, DALYs quantified the impact of diseases, injuries, and risk factors on an individual&#x2019;s health by accounting for both Years Lived with Disability (YLD) and Years of Life Lost (YLL) (<xref ref-type="bibr" rid="ref15">15</xref>). We focused on the prevalence, incidence, DALYs and deaths for different age groups and genders in the ILD&#x0026;PS data. In more detail, we included data on the number and rate for the following age groups: (0&#x2013;14&#x202F;years, 15&#x2013;19&#x202F;years, 20&#x2013;24&#x202F;years, 25&#x2013;29&#x202F;years, 30&#x2013;34&#x202F;years, 35&#x2013;39&#x202F;years, 40&#x2013;44&#x202F;years, 45&#x2013;49&#x202F;years, 50&#x2013;54&#x202F;years, 55&#x2013;59&#x202F;years, 60&#x2013;64&#x202F;years, 65&#x2013;69&#x202F;years, 70&#x2013;74&#x202F;years, 75&#x2013;79&#x202F;years, 80&#x2013;84&#x202F;years, 85&#x2013;89&#x202F;years, 90&#x2013;94&#x202F;years and 95&#x202F;+&#x202F;years), gender (female and male) and regions for analysis. 21 GBD regions, such as Eastern Europe, Central Asia, and High-income Asia Pacific, were included in the GBD geographical framework (<xref ref-type="bibr" rid="ref16">16</xref>). Furthermore, to represent the social and economic standing of various regions, the 204 countries worldwide were categorized into five quintiles based on SDI. The SDI regions, which were ranked from 0 to 1 (low, low-middle, middle, high-middle, and high), were in line with the degree of economic development (<xref ref-type="bibr" rid="ref17">17</xref>).</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Statistics analysis</title>
<p>The results of the trends over time were more reliable since age-standardized rates (ASRs) were used to account for differences in age structure among various populations (<xref ref-type="bibr" rid="ref18">18</xref>). Percentage change (PC) and estimated annual percentage change (EAPC) were calculated using both ASRs per 100,000 and cases. PC was calculated using the following precise formula based on the results obtained from the GBD study for the years 1990 and 2021: (Value in 2021&#x2212;Value in 1990)/1990. Furthermore, we applied a log-linear regression model, transforming the measured value y with a logarithmic conversion. The model was constructed as follows: <italic>y&#x202F;=&#x202F;&#x03B1;&#x202F;+&#x202F;&#x03B2;x + &#x03F5;</italic>, where year was the variable <italic>x</italic>, <italic>&#x03B1;</italic> was the intercept, <italic>&#x03B2;</italic> represented the annual change rate, and <italic>&#x03F5;</italic> was the error term. Then, using the regression model, the EAPC and its 95% confidence interval (CI) were determined to be 100&#x202F;&#x00D7;&#x202F;(exp(<italic>&#x03B2;</italic>)&#x202F;&#x2212;&#x202F;1) (<xref ref-type="bibr" rid="ref19">19</xref>). The 95% of the uncertainty interval (UI) was generated from 1,000 random selections of the 2.5th and 97.5th percentile values (<xref ref-type="bibr" rid="ref20">20</xref>). Spearman rank test was used to assess the correlation between burden indicators (prevalence, incidence, DALYs, deaths) and SDI in different regions (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p>The worldwide burden of ILD&#x0026;PS was predicted until 2040 using the Bayesian age-period-cohort (BAPC) model. The BAPC model was a statistical model that considered the effects of age, period, and cohort. It merged Bayesian statistical methods with integrated nested Laplace approximation (INLA) technology (<xref ref-type="bibr" rid="ref3">3</xref>). The birth year of each cohort was calculated as the calendar year minus the central age within each 5-year age group. Our study captured cohorts born between 1895 (oldest participants in 1990) and 2025 (youngest projected group in 2040), while the core observational data encompassed the 1935&#x2013;2006 birth years (median: 1970).</p>
<p>Data analysis and visualization were generated in R (version 4.3.1), and the R packages &#x201C;tidyverse&#x201D;, &#x201C;ggplot2&#x201D;, &#x201C;map&#x201D;, &#x201C;sf&#x201D;, &#x201C;ggsci&#x201D;, &#x201C;segmented&#x201D;, &#x201C;INLA&#x201D;, &#x201C;BAPC&#x201D;, and others were used.</p>
</sec>
</sec>
<sec sec-type="results" id="sec5">
<label>3</label>
<title>Results</title>
<sec id="sec6">
<label>3.1</label>
<title>Global burden</title>
<p>Globally, the number of prevalent cases rose by 128% from 1990 to 2021, from 1887445.26 (95% UI, 1,609,368.79 to 2,206,969.22) to 4306627.72 (95% UI, 3,802,950.84 to 4,898,714.45). The age-standardized prevalence rate (ASPR) was 45.99 (95% UI, 39.42 to 53.78) in 1990 and 50.01 (95% UI, 44.24 to 56.77) per 100,000 in 2021 (<xref ref-type="table" rid="tab1">Table 1</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). Besides, the number of incidence cases caused by ILD&#x0026;PS increased from 157,441.17 (95% UI, 136,251.29 to 179,471.82) in 1990 to 390,267.11 (95% UI, 346,393.42 to 433,403.27) in 2021, a considerable increase of 148%. The age-standardized incidence rate (ASIR) was recorded at 3.77 (95% UI, 3.27 to 4.28) per 100,000 population in 1990 and soared to 4.54 (95% UI, 4.05 to 5.04) in 2021 during this period (<xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S1</xref>, <xref ref-type="supplementary-material" rid="SM1">S2</xref>). The number of DALYs grew by 169% between 1990 and 2021, with the case rising from 1,501,028.43 (95% UI, 1,221,196.88 to 1,850,556.94) to 4,042,150.49 (95% UI, 3,489,794.64 to 4,516,882.92; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S1</xref>, <xref ref-type="supplementary-material" rid="SM1">S3</xref>). The age-standardized DALY rate (ASDR) increased from 37.15 (95% UI, 30.62 to 45.37) in 1990 to 47.62 (95% UI, 41.26 to 53.16) in 2021 per 100,000 people. Furthermore, there was a 242% increase in the number of deaths from 1990 to 2021, from 54,967.23 (95% UI, 44,761.39 to 68,391.19) to 188,222.37 (95% UI, 161,405.66 to 212,251.52) in 2021. Additionally, the age-standardized mortality rate (ASMR) was 1.52 (95% UI, 1.25 to 1.87) in 1990 and 2.28 (95% UI, 1.96 to 2.56) in 2021 (<xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S1</xref>, <xref ref-type="supplementary-material" rid="SM1">S4</xref>). Meanwhile, there was a notable rising trend worldwide in the EAPC for ASPR, ASIR, ASDR and ASMR. The EAPC for ASPR, ASIR, ASDR and ASMR per 100,000 population was specifically 0.36 (95% UI, 0.28 to 0.45), 0.72 (95% UI, 0.63 to 0.82), 0.95 (95% UI, 0.85 to 1.05) and 1.55 (95% UI, 1.41 to 1.70) for 1990&#x2013;2021, respectively (<xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S1&#x2013;S4</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Number and age-standardized prevalence of ILD&#x0026;PS, 1990 vs. 2021 (Global, SDI Quintiles and GBD region).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Location</th>
<th align="center" valign="top">Number in 1990 (95% UI)</th>
<th align="center" valign="top">ASPR in 1990 (per 100,000, 95% UI)</th>
<th align="center" valign="top">Number in 2021 (95% UI)</th>
<th align="center" valign="top">ASPR in 2021 (per 100,000, 95% UI)</th>
<th align="center" valign="top">EAPC of ASPR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Global</td>
<td align="center" valign="middle">1,887,445.26(1,609,368.79&#x2013;2,206,969.22)</td>
<td align="center" valign="middle">45.99(39.42&#x2013;53.78)</td>
<td align="center" valign="middle">4,306,627.72(3,802,950.84&#x2013;4,898,714.45)</td>
<td align="center" valign="middle">50.01(44.24&#x2013;56.77)</td>
<td align="center" valign="middle">0.36(0.29&#x2013;0.44)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">SDI quintile</td>
</tr>
<tr>
<td align="left" valign="middle">Low SDI</td>
<td align="center" valign="middle">64,790.26(54,155.17&#x2013;76,331.04)</td>
<td align="center" valign="middle">25.68(21.67&#x2013;30.09)</td>
<td align="center" valign="middle">152,795.77(131,758.78&#x2013;177,190.27)</td>
<td align="center" valign="middle">26.57(23.17&#x2013;30.40)</td>
<td align="center" valign="middle">0.16(0.12&#x2013;0.21)</td>
</tr>
<tr>
<td align="left" valign="middle">Low&#x2013;middle SDI</td>
<td align="center" valign="middle">236,665.38(198,226.58&#x2013;278344.47)</td>
<td align="center" valign="middle">35.77(30.26&#x2013;41.93)</td>
<td align="center" valign="middle">600,252.87(524,699.56&#x2013;690,438.27)</td>
<td align="center" valign="middle">39.70(34.81&#x2013;45.31)</td>
<td align="center" valign="middle">0.43(0.38&#x2013;0.47)</td>
</tr>
<tr>
<td align="left" valign="middle">Middle SDI</td>
<td align="center" valign="middle">324,844.49(271,302.89&#x2013;385,904.55)</td>
<td align="center" valign="middle">28.48(24.08&#x2013;33.82)</td>
<td align="center" valign="middle">902,157.69(787,325.52&#x2013;1,037,654.94)</td>
<td align="center" valign="middle">33.03(28.83&#x2013;37.97)</td>
<td align="center" valign="middle">0.64(0.56&#x2013;0.73)</td>
</tr>
<tr>
<td align="left" valign="middle">High&#x2013;middle SDI</td>
<td align="center" valign="middle">351,805.94(300,237.53&#x2013;413,791.59)</td>
<td align="center" valign="middle">34.10(29.26&#x2013;39.96)</td>
<td align="center" valign="middle">704,695.64(626,654.48&#x2013;800,962.81)</td>
<td align="center" valign="middle">36.39(32.23&#x2013;41.24)</td>
<td align="center" valign="middle">0.38(0.27&#x2013;0.49)</td>
</tr>
<tr>
<td align="left" valign="middle">High SDI</td>
<td align="center" valign="middle">907,883.91(783,539.02&#x2013;1,058,221.31)</td>
<td align="center" valign="middle">84.18(72.93&#x2013;97.79)</td>
<td align="center" valign="middle">1,944,285.73(1,717,676.01&#x2013;2,193,796.91)</td>
<td align="center" valign="middle">98.58(87.80&#x2013;111.30)</td>
<td align="center" valign="middle">0.55(0.46&#x2013;0.63)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">GBD region</td>
</tr>
<tr>
<td align="left" valign="middle">Andean Latin America</td>
<td align="center" valign="middle">15,934.55(14,531.35&#x2013;17,510.08)</td>
<td align="center" valign="middle">76.60(69.74&#x2013;84.04)</td>
<td align="center" valign="middle">79,686.64(73,987.56&#x2013;85,343.50)</td>
<td align="center" valign="middle">135.98(126.12&#x2013;145.58)</td>
<td align="center" valign="middle">2.37(2.21&#x2013;2.52)</td>
</tr>
<tr>
<td align="left" valign="middle">Australasia</td>
<td align="center" valign="middle">8,621.66(7,526.31&#x2013;9,869.87)</td>
<td align="center" valign="middle">36.58(31.86&#x2013;42.01)</td>
<td align="center" valign="middle">32,955.28(29,674.83&#x2013;36,524.70)</td>
<td align="center" valign="middle">61.80(55.39&#x2013;68.95)</td>
<td align="center" valign="middle">1.77(1.58&#x2013;1.95)</td>
</tr>
<tr>
<td align="left" valign="middle">Caribbean</td>
<td align="center" valign="middle">4,238.12(3,555.30&#x2013;4,976.85)</td>
<td align="center" valign="middle">15.36(13.00&#x2013;18.01)</td>
<td align="center" valign="middle">11,197.79(9,896.85&#x2013;12,639.02)</td>
<td align="center" valign="middle">21.09(18.65&#x2013;23.82)</td>
<td align="center" valign="middle">1.16(1.07&#x2013;1.26)</td>
</tr>
<tr>
<td align="left" valign="middle">Central Asia</td>
<td align="center" valign="middle">17,284.03(15,188.42&#x2013;19,815.22)</td>
<td align="center" valign="middle">34.69(30.71&#x2013;39.36)</td>
<td align="center" valign="middle">31,350.37(27,947.89&#x2013;35,422.05)</td>
<td align="center" valign="middle">35.86(32.32&#x2013;40.28)</td>
<td align="center" valign="middle">0.14(&#x2212;0.1&#x2013;0.38)</td>
</tr>
<tr>
<td align="left" valign="middle">Central Europe</td>
<td align="center" valign="middle">56,133.54(48,055.34&#x2013;65,348.86)</td>
<td align="center" valign="middle">38.21(32.69&#x2013;44.77)</td>
<td align="center" valign="middle">70,262.47(62,022.23&#x2013;79,643.06)</td>
<td align="center" valign="middle">38.39(33.44&#x2013;44.05)</td>
<td align="center" valign="middle">0.24(0.15&#x2013;0.32)</td>
</tr>
<tr>
<td align="left" valign="middle">Central Latin America</td>
<td align="center" valign="middle">35,145.83(29,813.37&#x2013;40966.97)</td>
<td align="center" valign="middle">39.05(33.59&#x2013;45.27)</td>
<td align="center" valign="middle">116,100.80(103,368.79&#x2013;130,258.37)</td>
<td align="center" valign="middle">45.91(41.07&#x2013;51.56)</td>
<td align="center" valign="middle">0.45(0.41&#x2013;0.49)</td>
</tr>
<tr>
<td align="left" valign="middle">Central Sub-Saharan Africa</td>
<td align="center" valign="middle">4,361.76(3,559.19&#x2013;5,232.33)</td>
<td align="center" valign="middle">16.45(13.78&#x2013;19.46)</td>
<td align="center" valign="middle">12,477.51(10,450.99&#x2013;14,821.53)</td>
<td align="center" valign="middle">18.30(15.77&#x2013;21.18)</td>
<td align="center" valign="middle">0.42(0.29&#x2013;0.54)</td>
</tr>
<tr>
<td align="left" valign="middle">East Asia</td>
<td align="center" valign="middle">260,268.45(213,538.74&#x2013;316,111.96)</td>
<td align="center" valign="middle">27.06(22.44&#x2013;32.71)</td>
<td align="center" valign="middle">647,955.24(552,500.17&#x2013;759,163.33)</td>
<td align="center" valign="middle">29.30(25.22&#x2013;34.20)</td>
<td align="center" valign="middle">0.58(0.4&#x2013;0.75)</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern Europe</td>
<td align="center" valign="middle">90,878.88(75,716.69&#x2013;10,7683.28)</td>
<td align="center" valign="middle">33.43(27.72&#x2013;39.85)</td>
<td align="center" valign="middle">52,794.09(43,745.32&#x2013;62,988.74)</td>
<td align="center" valign="middle">17.88(14.66&#x2013;21.42)</td>
<td align="center" valign="middle">&#x2212;2.28(&#x2212;2.36&#x2013;&#x2212;2.21)</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern Sub-Saharan Africa</td>
<td align="center" valign="middle">11,900.92(9,599.75&#x2013;14,376.06)</td>
<td align="center" valign="middle">13.24(10.93&#x2013;15.74)</td>
<td align="center" valign="middle">30,904.05(25,480.24&#x2013;36,978.12)</td>
<td align="center" valign="middle">14.57(12.34&#x2013;17.07)</td>
<td align="center" valign="middle">0.31(0.29&#x2013;0.33)</td>
</tr>
<tr>
<td align="left" valign="middle">High-income Asia Pacific</td>
<td align="center" valign="middle">274,572.22(234,702.35&#x2013;319,642.00)</td>
<td align="center" valign="middle">134.65(115.30&#x2013;156.65)</td>
<td align="center" valign="middle">642,118.40(564,109.76&#x2013;731,621.74)</td>
<td align="center" valign="middle">151.60(134.19&#x2013;172.06)</td>
<td align="center" valign="middle">0.43(0.3&#x2013;0.56)</td>
</tr>
<tr>
<td align="left" valign="middle">High-income North America</td>
<td align="center" valign="middle">393,390.79(338,217.63&#x2013;460,044.31)</td>
<td align="center" valign="middle">116.11(100.03&#x2013;135.71)</td>
<td align="center" valign="middle">787,778.92(695,019.71&#x2013;893,373.99)</td>
<td align="center" valign="middle">127.50(113.42&#x2013;143.85)</td>
<td align="center" valign="middle">0.19(0.13&#x2013;0.26)</td>
</tr>
<tr>
<td align="left" valign="middle">North Africa and Middle East</td>
<td align="center" valign="middle">48,260.51(40,001.29&#x2013;57,469.52)</td>
<td align="center" valign="middle">24.62(20.90&#x2013;28.99)</td>
<td align="center" valign="middle">185,663.20(160,882.75&#x2013;214498.06)</td>
<td align="center" valign="middle">35.72(31.40&#x2013;40.69)</td>
<td align="center" valign="middle">1.38(1.29&#x2013;1.47)</td>
</tr>
<tr>
<td align="left" valign="middle">Oceania</td>
<td align="center" valign="middle">1,717.74(1,500.73&#x2013;1962.74)</td>
<td align="center" valign="middle">42.55(37.75&#x2013;48.11)</td>
<td align="center" valign="middle">4,879.76(4,390.83&#x2013;5410.87)</td>
<td align="center" valign="middle">49.16(44.66&#x2013;54.30)</td>
<td align="center" valign="middle">0.39(0.34&#x2013;0.44)</td>
</tr>
<tr>
<td align="left" valign="middle">South Asia</td>
<td align="center" valign="middle">293,637.91(24,6481.45&#x2013;34,5905.57)</td>
<td align="center" valign="middle">47.25(39.91&#x2013;55.76)</td>
<td align="center" valign="middle">791,408.05(688,352.14&#x2013;911271.94)</td>
<td align="center" valign="middle">51.07(44.55&#x2013;58.79)</td>
<td align="center" valign="middle">0.32(0.27&#x2013;0.38)</td>
</tr>
<tr>
<td align="left" valign="middle">Southeast Asia</td>
<td align="center" valign="middle">37,165.64(30,049.99&#x2013;45,335.01)</td>
<td align="center" valign="middle">13.22(10.95&#x2013;15.79)</td>
<td align="center" valign="middle">120,933.17(103,686.65&#x2013;141,729.09)</td>
<td align="center" valign="middle">17.40(15.03&#x2013;20.22)</td>
<td align="center" valign="middle">0.9(0.88&#x2013;0.91)</td>
</tr>
<tr>
<td align="left" valign="middle">Southern Latin America</td>
<td align="center" valign="middle">27842.24(25030.60&#x2013;30972.49)</td>
<td align="center" valign="middle">59.53(53.60&#x2013;66.25)</td>
<td align="center" valign="middle">85,609.49(78,824.93&#x2013;92,601.20)</td>
<td align="center" valign="middle">99.07(91.46&#x2013;107.24)</td>
<td align="center" valign="middle">1.67(1.57&#x2013;1.78)</td>
</tr>
<tr>
<td align="left" valign="middle">outhern Sub-Saharan Africa</td>
<td align="center" valign="middle">13,391.60(11,191.11&#x2013;15,781.66)</td>
<td align="center" valign="middle">45.27(38.30&#x2013;53.16)</td>
<td align="center" valign="middle">25,862.77(22,187.02&#x2013;30,076.82)</td>
<td align="center" valign="middle">41.18(35.60&#x2013;47.56)</td>
<td align="center" valign="middle">&#x2212;0.42(&#x2212;0.57&#x2013;&#x2212;0.28)</td>
</tr>
<tr>
<td align="left" valign="middle">Tropical Latin America</td>
<td align="center" valign="middle">28,813.11(23,850.30&#x2013;34,561.91)</td>
<td align="center" valign="middle">27.45(22.97&#x2013;32.54)</td>
<td align="center" valign="middle">52,675.16(45,618.33&#x2013;60,595.19)</td>
<td align="center" valign="middle">20.45(17.76&#x2013;23.47)</td>
<td align="center" valign="middle">&#x2212;1.12(&#x2212;1.28&#x2013;&#x2212;0.96)</td>
</tr>
<tr>
<td align="left" valign="middle">Western Europe</td>
<td align="center" valign="middle">249,467.13(219,645.03&#x2013;284,530.89)</td>
<td align="center" valign="middle">46.08(40.10&#x2013;53.29)</td>
<td align="center" valign="middle">491,892.59(44,1706.92&#x2013;547,311.03)</td>
<td align="center" valign="middle">58.14(52.00&#x2013;65.11)</td>
<td align="center" valign="middle">0.98(0.79&#x2013;1.16)</td>
</tr>
<tr>
<td align="left" valign="middle">Western Sub-Saharan Africa</td>
<td align="center" valign="middle">14,418.65(11,653.98&#x2013;17,390.25)</td>
<td align="center" valign="middle">14.07(11.53&#x2013;16.78)</td>
<td align="center" valign="middle">321,21.97(26,136.06&#x2013;38,830.43)</td>
<td align="center" valign="middle">12.79(10.70&#x2013;15.15)</td>
<td align="center" valign="middle">&#x2212;0.29(&#x2212;0.35&#x2013;&#x2212;0.23)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; SDI, Socio - demographic index; ASIR, Age - standardized incidence rate; EAPC, Estimated annual percentage change; UI, Uncertainty interval; CI, Confidence interval.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec7">
<label>3.2</label>
<title>SDI region burden</title>
<p>The Middle SDI region showed the biggest percentage growth between 1990 and 2021, with absolute prevalence, incidence, and deaths rates rising 1.78, 1.93, and 2.01 times, respectively. However, the fastest rise in PC mortality cases (3.07 times) was observed in the high SDI region, from 20,063.97 (95% UI, 18,621.72 to 20,871.04) in 1990 to 81,732.30 (95% UI, 71,243.83 to 88,091.88) in 2021 (<xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S1&#x2013;S4</xref>). From 1990 to 2021, the high SDI region exhibited the most significant increasing percentage change trend across all four parameters when taking ASRs into account. The high SDI region stood out with increases of 17% in prevalence (EAPC&#x202F;=&#x202F;0.55), 32% in incidence (EAPC&#x202F;=&#x202F;0.92), 53% in DALYs (EAPC&#x202F;=&#x202F;1.54) and 92% in mortality (EAPC&#x202F;=&#x202F;2.3). In all five SDI regions, ASPR, ASIR, ASDR, and ASMR generally displayed an ascending trend over the last 32&#x202F;years (<xref ref-type="table" rid="tab1">Table 1</xref>; <xref ref-type="fig" rid="fig1">Figure 1</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S1&#x2013;S4</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Age-standardized rates of ILD&#x0026;PS by global and SDI regions, 1990 to 2021. ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; SDI, socio-demographic index; ASPR, Age-standardized prevalence rate; ASIR, Age-standardized incidence rate; ASDR, Age-standardized DALYs rate; ASMR, Age-standardized mortality rate.</p>
</caption>
<graphic xlink:href="fmed-12-1650997-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Twelve line graphs show ASR trends (prevalence, incidence, DALYs and deaths) from GBD across different SDI levels from 1990 to 2021 for males, females, and both sexes. Each graph compares rates among Global, High SDI, High-middle SDI, Middle SDI, Low-middle SDI, and Low SDI groups.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec8">
<label>3.3</label>
<title>GBD region burden</title>
<p>Between 1990 and 2021, there was an estimated positive rise in ILD&#x0026;PS prevalence cases in 95.2% of the locations (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>). The three regions with the biggest shifts in prevalence were Andean Latin America, North Africa and Middle East, and Australasia (4.00, 2.85, and 2.82 times respectively). The absolute cases in 1990 were 15,934.55 (95% UI, 14,531.35 to 17,510.08), 48,260.51 (95% UI, 40,001.29 to 57,469.52) and 8,621.66 (95% UI, 7,526.31 to 9,869.87), respectively. In 2021, however, they climbed to 79,686.64 (95% UI, 73,987.56 to 85,343.50), 185,663.20 (95% UI, 160,882.75 to 214,498.06) and 32,955.28 (95% UI, 29,674.83 to 36,524.70), respectively (<xref ref-type="table" rid="tab1">Table 1</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S1</xref>, <xref ref-type="supplementary-material" rid="SM1">S2</xref>). Australasia, on the other hand, was second only to Andean Latin America in terms of incident cases and had the greatest variation in DALYs cases (4.79 times) and deaths (6.23 times; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). At the regional level in 2021, High-income Asia Pacific had the highest ASPR (151.60, [95% UI, 134.19 to 172.06] per 100,000 population), while Andean Latin America had the highest ASIR, ASDR and ASMR (20.47, 209.34 and 11.37 per 100,000 population, respectively). In contrast, the Western Sub-Saharan Africa showed the lowest ASPR (12.79 [95%UI, 10.70 to 15.15]) and Eastern Europe experienced the lowest ASIR (1.04 [95%UI, 0.89 to 1.21]) in 2021. Southeast Asia also showed far lower ASDR (8.93 [95%UI, 5.18 to 16.51]) and ASMRs (0.33 [95%UI, 0.17 to 0.66]; (<xref ref-type="table" rid="tab1">Table 1</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S2&#x2013;S4</xref>).</p>
</sec>
<sec id="sec9">
<label>3.4</label>
<title>National burden</title>
<p>From 1990 to 2021, over 90% of countries experienced an upward trend in the cases prevalence, incidence, DALYs and mortality rates of ILD&#x0026;PS (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S5</xref>). In 2021, United States of America had the highest prevalence and incidence among 204 countries (708,091.63 [95% UI, 621,857.11 to 808,616.38] and 59,754.49 [95% UI, 52,045.56 to 67,737.27]), followed by India (654,924.60 [95% UI, 565,718.36 to 757,500.39] and 81,114.27 [95% UI, 70,536.27 to 91,985.16]), and China (628,382.72 [95% UI, 534,993.12 to 737,822.25] and 48,513.74 [95% UI, 41,541.45 to 55,949.02]; (<xref ref-type="fig" rid="fig2">Figure 2</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S2</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S6</xref>, <xref ref-type="supplementary-material" rid="SM1">S7</xref>). Besides, it was estimated that India, United States of America, and Japan exhibited the highest absolute numbers of DALYs (1,124,247.84 [95%UI, 750,835.18 to 1,523,498.82], 524,808.48 [95%UI, 478,755.29-560,666.59] and 383,903.14 [95% UI, 335,660.18 to 419,247.70]) and deaths (47,336.08 [95%UI, 30,672.40 to 65,803.94], 26,601.58 [95% UI, 23,244.93 to 28,216.49] and 24,025.65 [95% UI, 19,890.74 to 26,344.87]; (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figures S3</xref>, <xref ref-type="supplementary-material" rid="SM1">S4</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S8</xref>, <xref ref-type="supplementary-material" rid="SM1">S9</xref>). In addition, Peru had the greatest rates of ASPR, ASIR, ASDR, and ASMR resulting from ILD&#x0026;PS at 167.38 (95% UI, 155.61 to 179.28), 24.73 (95% UI, 23.23 to 26.22), 246.21 (95% UI, 178.27 to 317.79) and 13.31 (95% UI, 9.20 to 17.55) per 100,000 populations, respectively. Conversely, Ukraine&#x2019;s ASPR (&#x2212;66%) and ASIR (&#x2212;67%) showed declining trends, with EAPCs of &#x2212;4 (95% CI, &#x2212;17.73 to 12.03) and &#x2212;4.15 (95% CI, &#x2212;19.51 to 14.15), respectively. Latvia was found to have the most notable decline in ASDR (&#x2212;89%), while the Republic of Moldova showed the largest loss at &#x2212;93% in ASMR (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figures S2&#x2013;S6</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S5&#x2013;S9</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Prevalence and age-standardized rates of ILD&#x0026;PS in 204 countries and territories. <bold>(A)</bold> Prevalence cases in 2021; <bold>(B)</bold> ASPR per 100,000 population in 2021. ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; ASPR, Age-standardized prevalence rate.</p>
</caption>
<graphic xlink:href="fmed-12-1650997-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two world maps labeled A and B show data from 2021. Map A illustrates the prevalence of cases with varying shades representing different ranges of cases per country, with close-ups of regions like the Caribbean and central America, Persian Gulf, and Southeast Asia. Map B displays the age-standardized prevalence rates (ASPR) per 100,000 population, using shades to indicate different rate categories, also featuring regional close-ups. Both maps utilize similar legends to differentiate the data visually.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec10">
<label>3.5</label>
<title>Association of burden with SDI</title>
<p>ASPR (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, <italic>r</italic>&#x202F;=&#x202F;0.57), ASIR (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, <italic>r</italic>&#x202F;=&#x202F;0.44), ASDR (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, <italic>r</italic>&#x202F;=&#x202F;0.17) and ASMR (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, <italic>r</italic>&#x202F;=&#x202F;0.19) were found to positively correlate with SDI at the regional level. South Asia, Oceania, Andean Latin America, and Southern Latin America all had burden values in 2021 that were higher than anticipated for their respective SDI levels. On the contrary, during the measurement period, burden levels were lower than expected for each of the following regions: Western Europe, Tropical Latin America, the Caribbean, Central Europe, Eastern Europe, Central Asia, North Africa, Middle East, Southeast Asia and East Asia (<xref ref-type="fig" rid="fig3">Figure 3</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S7</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>ASPR and ASIR of ILD&#x0026;PS by SDI in 2021, globally and in 21 regions, 1990 to 2021. <bold>(A)</bold> ASPR across 21 regions according to SDI in 2021; <bold>(B)</bold> ASIR across 21 regions according to SDI in 2021. ASPR, Age-standardized prevalence rate; ASIR, Age-standardized incidence rate; ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; SDI, Socio-demographic index.</p>
</caption>
<graphic xlink:href="fmed-12-1650997-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two graphs labeled A and B plot Age-Standardized Prevalence Rates (ASPR) and Age-Standardized Incidence Rates (ASIR) per 100,000 population over the period from 1990 to 2021 against the Socio-Demographic Index (SDI) in 2021. Various regions are represented by distinct symbols and colors. Both graphs show an upward trend, with regional variations. A legend beside the graphs indicates the symbols for different global regions.</alt-text>
</graphic>
</fig>
<p>At the national level, there was a positive correlation between burden metrics and SDI levels in 2021, with SDI levels falling between 0.2 and 0.6 and between 0.8 and 1.0. Similarly, it was shown that Ecuador, Chile, Bolivia, and Peru significantly exceeded the burden indices that SDI had predicted (<xref ref-type="fig" rid="fig4">Figure 4</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S8</xref>). Furthermore, substantial differences (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) were found between the age-standardized burden of EAPC and SDI, with a weak to moderate connection between the two. Both in terms of numbers and age-standardized rates, a larger burden of ILD&#x0026;PS was associated with higher SDI. The correlation coefficients of ASPR, ASIR, ASDR, and ASMR with SDI and EAPC were 0.25, 0.36, 0.33, and 0.34, respectively (<xref ref-type="fig" rid="fig5">Figure 5</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S9</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>ASPR and ASIR of ILD&#x0026;PS by SDI in 2021 in 204 countries and territories, 1990 vs. 2021. <bold>(A)</bold> ASPR in 204 countries and territories; <bold>(B)</bold> ASIR in 204 countries and territories. ASPR, Age-standardized prevalence rate; ASIR, Age-standardized incidence rate; ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; SDI, socio-demographic index.</p>
</caption>
<graphic xlink:href="fmed-12-1650997-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Scatter plots illustrate the relationship between SDI in2021 and ASR for two variables over the period from 1990 to 2021. Plot A shows the Age-Standardized Prevalence Rate (ASPR) per 100,000 population versus SDI, with countries labeled, showing a positive trend. Plot B displays the Age-Standardized Incidence Rate (ASIR) per 100,000 population against SDI, also with countries labeled, highlighting outliers like Peru and Bolivia. Both plots include a trendline with shaded confidence intervals.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Correlation between the SDI and EAPC of ILD&#x0026;PS burden, by number for 204 contries in 2021. SDI, socio-demographic index; EAPC, Estimated annual percentage change; ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; DALYs, Disability adjusted life years.</p>
</caption>
<graphic xlink:href="fmed-12-1650997-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four scatter plots show the relationship between the Sociodemographic Index (SDI) in 2021 and the Estimated Annual Percent Change (EAPC) from 1990 to 2021 for prevalence, incidence, DALYs, and deaths, respectively. Each plot includes a line of best fit with shaded confidence intervals. Correlation coefficients (r) and p-values are provided, all indicating significant correlations. The size of the data points represents different numbers in 2021, with legends indicating various scales for each plot.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec11">
<label>3.6</label>
<title>Age and gender patterns</title>
<p>Globally, the 50&#x2013;89 age group accounted for the majority of prevalence, incidence, DALYs, and fatalities in 2021. The 70&#x2013;74 age group had the highest prevalence rates (632,825.47 [95% UI, 520,341.87-762,125.37]), incidence rates (52,707.37 [95% UI, 33,629.15 to 72,822.83]), and number of DALYs (610,775.30 [95% UI, 514,813.62 to 715,439.22]) in 2021, while the 80&#x2013;84 age group had the highest number of deaths (31,227.21 [95% UI, 26,079.54 to 36,046.41]). The highest PC occurred in the 95&#x202F;+&#x202F;age group between 1990 and 2021, with increases of 35%, 139%, and 147%, respectively. It is interesting to note that the gains in ASIR, ASDR, and ASMR were in line with age growth. However, ASPR peaked between the ages of 85 and 89, after which it started to progressively fall. The 90&#x2013;94 age group experienced the fastest growth in prevalence and DALYs over the course of 32-year period, with an EAPC of 1.86 (95% CI, 1.64 to 2.08) and 3.05 (95% CI, 2.79 to 3.32), respectively. Furthermore, the age group of 80&#x2013;84&#x202F;years old (EAPC&#x202F;=&#x202F;1.81) had the largest increase in incidence rates, whereas the age group of 25&#x2013;29&#x202F;years old (EAPC&#x202F;=&#x202F;&#x2212;0.67) had the largest reduction. The trend analysis of global mortality rates from 1990 to 2021 indicated that the mortality rates for the 0&#x2013;14 and 50&#x2013;54 age groups were on a declining trend, with EAPCs of &#x2212;1.89 (95% CI, &#x2212;2.07 to &#x2212;1.71) and &#x2212;0.16 (95% UI, &#x2212;0.25 to &#x2212;0.07), respectively (<xref ref-type="fig" rid="fig6">Figures 6</xref>, <xref ref-type="fig" rid="fig7">7</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S10&#x2013;S13</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Trends in the cases and age-standardized rates for ILD&#x0026;PS by male and female, 2021. ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; DALYs, Disability adjusted life years.</p>
</caption>
<graphic xlink:href="fmed-12-1650997-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four bar charts display health data by age and gender, with error bars and shaded confidence intervals. Top left shows prevalence, top right incidence, bottom left DALYs (Disability-Adjusted Life Years), and bottom right mortality. Each chart distinguishes between female (purple) and male (blue) data.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Heatmap of ILD&#x0026;PS burden by age groups 1990 vs. 2021. <bold>(A)</bold> The EPCA heatmap across age groups; <bold>(B)</bold> The PC heatmap across age groups. ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; EAPC, Estimated annual percentage change; PC, Percentage change; ASPR, Age-standardized prevalence rate; ASIR, Age-standardized incidence rate; ASDR, Age-standardized DALYs rate; ASMR, Age-standardized mortality rate; DALYs, Disability adjusted life years.</p>
</caption>
<graphic xlink:href="fmed-12-1650997-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two heat maps labeled A and B show age-related data from ages 0 to 95+ years. Map A displays Effective Annual Percentage Change (EAPC) for age-standardized prevalence, incidence, disability-adjusted life years (DALYs), and deaths rates, ranging from -2 to 3.5. Map B presents percentage change (PC) in prevalence, incidence, DALYs, and deaths, ranging from -1 to 12.5. Color gradients represent different value ranges in both maps, with legends indicating the scale.</alt-text>
</graphic>
</fig>
<p>The age-standardized disease burden for males was greater than that for females, indicating a sex difference in 2021. In 2021, prevalence, incidence, DALYs, and mortality were as follows for the male population: 2,149,200.96 (95% UI, 1,902,460.13 to 2,433,401.43), 214,681.18 (95% UI, 190,533.20 to 238,498.19), 2,237,269.37 (95% UI, 1,839,499.94 to 2,555,199.73), and 103,056.70 (95% UI, 84,156.40 to 115,833.40). However, compared to the male population, the female population experienced more noticeable variations in ASDR and ASMR between 1990 and 2021. In particular, women&#x2019;s EAPC for ASDR was 1.07 (95% CI, 0.96 to 1.17), higher than men&#x2019;s, which was 0.85 (95% CI, 0.76 to 0.94). With an EAPC for ASMR rates of 1.7 (95% CI, 1.54 to 1.86) for females and 1.41 (95% CI, 1.28 to 1.53) for males, there was a roughly 20% rise in female ASMR during the same period (<xref ref-type="fig" rid="fig6">Figure 6</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S10&#x2013;S13</xref>).</p>
</sec>
<sec id="sec12">
<label>3.7</label>
<title>Future forecasts of global burden</title>
<p>Considering that the burden of ILD&#x0026;PS was almost nil for the 0&#x2013;14 age group across all age groups, we focused on the global forecasting analysis on age groups beginning at 15&#x202F;years old. As illustrated in <xref ref-type="fig" rid="fig8">Figure 8</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S10</xref>, the global case number of ILD&#x0026;PS burden was predicted to increase. In 2040, it was estimated that there would be 4,650,604 (95% CI, 4,392,112.33 to 4,909,095.67) cases of global prevalence, 444,039.30 (95% CI, 41,081.09 to 477,264.51) cases of incidence, 4,876,548 (95% CI, 4,532,374.34 to 5,220,721.66) cases of DALYs, and approximately 239,787.79 (95% CI, 218,867.23 to 260,708.25) deaths. On the other hand, it was predicted that the ASPR and ASIR would decline yearly until 2040. Overall, it was anticipated that the disease burden for men will continue to be much greater than that for women by 2040 (<xref ref-type="fig" rid="fig8">Figure 8</xref>). It was important to note that the age-standardized load for the 90&#x2013;94 and 95&#x202F;+&#x202F;age groups was expected to exhibit an increasing trend in both males and females, compared to other age groups. While the ASPR may actually decline, the ASIR, ASDR, and ASMR of ILD&#x0026;PS for those aged 60&#x2013;64, 65&#x2013;69, and 70&#x2013;74 were predicted to level out in the approaching time. For males aged 15&#x2013;19, 20&#x2013;24, 25&#x2013;29, and 30&#x2013;34, the predicted data showed a declining trend in the PC of DALYs. Furthermore, from 2022 to 2040, the proportion of males over 50 who passed away from ILD&#x0026;PS was much higher than that of women (<xref ref-type="fig" rid="fig9">Figure 9</xref>).</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Trends in global burden projections for ILD&#x0026;PS. <bold>(A)</bold> Prediction of ASR of ILD&#x0026;PS burdens; <bold>(B)</bold> Predictions of ASR of ILD&#x0026;PS burden by gender for 2022 and 2040. ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; DALYs, Disability adjusted life years; ASPR, Age-standardized prevalence rate; ASIR, Age-standardized incidence rate; ASDR, Age-standardized DALYs rate; ASMR, Age-standardized mortality rate.</p>
</caption>
<graphic xlink:href="fmed-12-1650997-g008.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Panel A consists of four line charts showing trends from 1990 to 2040 for prevalence, incidence, disability-adjusted life years (DALYs), and deaths, all of those are projected to decrease or level off post-2020. Panel B features bar charts comparing age-standardized rates per 100,000 for males and females in 2022 and 2040, encompassing ASPR, ASIR, ASDR, and ASMR.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>Prediction of ILD&#x0026;PS burden trends for ILD&#x0026;PS across age groups. ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; ASPR, Age-standardized prevalence rate; ASIR, Age-standardized incidence rate; ASDR, Age-standardized DALYs rate; ASMR, Age-standardized mortality rate; DALYs, Disability adjusted life years; PC, Percentage change.</p>
</caption>
<graphic xlink:href="fmed-12-1650997-g009.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Charts display trends for prevalence, incidence, disability-adjusted life years (DALYs), and deaths from 1990 to 2040, segmented by age group and gender. Line graphs show age-standardized rates for females and males, with distinct age colors. 3D bar charts illustrate age and gender distribution.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec13">
<label>4</label>
<title>Discussion</title>
<p>Patients&#x2019; health and lives are seriously threatened by a set of diverse respiratory disorders known as ILD&#x0026;PS (<xref ref-type="bibr" rid="ref22">22</xref>). The prevalence, incidence, DALYs, and mortality rates of ILD&#x0026;PS were presented in this study using data from GBD 2021 and stratified by age, sex, SDI, and geographic location. In addition to forecasting the disease burden status until 2040, it conducted a comprehensive examination of the illness burden over a 32-year period and updated the most recent data. Undoubtedly, these comprehensive assessment data helped policymakers comprehend the issue, which in turn helped them successfully guide the allocation of medical resources and the creation of public health policies.</p>
<p>Globally, ILD&#x0026;PS-related prevalence, incidence, DALYs, and mortality rose by 128%, 148%, 169% and 242%, respectively, between 1990 and 2021. The burden of ILD&#x0026;PS decreased while taking into account the measurement levels of ASRs, although it still indicated an upward tendency. The phenomenon can be ascribed to the continuous trend of societal aging and population growth (<xref ref-type="bibr" rid="ref23">23</xref>). According to our estimates, there may be up to 4.65 million instances of ILD&#x0026;PS by 2040, with roughly 0.44 million incident cases, a DALYs percentage of 4.88 million, and 0.24 million fatalities. All things considered, the overall disease burden increased over time, placing increasing pressure on international health decision-making and medical service systems.</p>
<p>Consistent with the study by Zeng et.al, the high SDI regions have the highest ASPR in 2021 (<xref ref-type="bibr" rid="ref3">3</xref>). After age-standardization, high SDI regions remained the top-ranking areas, outperforming the middle SDI regions, despite the fact that the middle SDI regions saw the most changes in prevalence, incidence, and deaths burden. The superior quality and greater accessibility of medical services are correlated with areas with higher SDI scores, which generally show more advanced health system performance (<xref ref-type="bibr" rid="ref24">24</xref>). Additionally, our findings revealed that the ASRs burden of ILD&#x0026;PS tended to be positively associated with the SDI level. Over recent years, advancements in the medical sector have provided high SDI regions with more precise diagnostic tools, including computed tomography scans and spirometry, as well as improved diagnostic approaches, such as multidisciplinary discussions (<xref ref-type="bibr" rid="ref25 ref26 ref27">25&#x2013;27</xref>). Furthermore, exposure to occupational hazardous particles and gases generated in industries such as mining, along with drug abuse, and adverse reactions induced by radiotherapy and chemotherapy, serve as significant etiological factors in pulmonary diseases (<xref ref-type="bibr" rid="ref28">28</xref>). Notably, tobacco smoking has been conclusively established as an independent risk factor for ILDs, particularly IPF (<xref ref-type="bibr" rid="ref29">29</xref>). These variables have probably contributed to the rise in instances found in high SDI locations. Nevertheless, we found that high SDI regions experienced the greatest increase in ILD&#x0026;PS-related fatalities despite having sophisticated medical services. Ranganathan, S., <italic>et al</italic>. believe that an aging society is more likely to develop in a nation with a higher GDP because of a tendency toward lower birth rates (<xref ref-type="bibr" rid="ref30">30</xref>). At the same time, many unsolved risk variables are associated with the onset and progression of ILD&#x0026;PS, highlighting the need to supplement existing resources to effectively address this challenge (<xref ref-type="bibr" rid="ref31">31</xref>). Regional and national differences were evident in trends in the burden of disease. For instance, in 2021, the ASPR for ILDs in High-income Asia Pacific was 151.60 per 100,000, but in Western Sub-Saharan Africa, it was just 12.79. According to the regional level research, 95.2% of regions had rising trends in the prevalence of ILD&#x0026;PS, with Australasia, North Africa and the Middle East, and Andean Latin America showing the biggest shifts. The risk of acquiring ILDs has been increased by metal dust, wood dust, insecticides, and agricultural dusts (<xref ref-type="bibr" rid="ref32">32</xref>). In particular, ILD&#x0026;PS prevalence has been found to be higher in areas with unique features, such as Australia with its thriving livestock industry, the oil-rich but conflict-prone Middle East, and mining-rich Andean Latin America (<xref ref-type="bibr" rid="ref33">33</xref>).</p>
<p>China, India, and the United States of America had the highest incidence and prevalence of ILD&#x0026;PS in 2021 due to their large populations. Numerous factors, such as population lifestyles, regional environmental differences, and the efficacy of national health programs for illness prevention and control, contribute significantly to this variation (<xref ref-type="bibr" rid="ref34 ref35 ref36">34&#x2013;36</xref>). Air pollution from the extensive use of stationary fuels is a major contributor to chronic respiratory disease, and disease incidence is higher in places with poorer lifestyles and a lack of public health interventions (<xref ref-type="bibr" rid="ref26">26</xref>). Interestingly, we also found that the burden of ILD&#x0026;PS in Ecuador, Chile, Bolivia, and Peru was far higher than the SDI had estimated. ILD incidence is closely linked to exposure to air pollutants, such as PM2.5, black carbon, and ozone (<xref ref-type="bibr" rid="ref36">36</xref>). In a similar vein, Ecuador and Peru have been important South American oil suppliers (<xref ref-type="bibr" rid="ref37">37</xref>). The GBD 2019 study finds that the growth of mining operations in Chile has a significant impact on the burden of silicosis (<xref ref-type="bibr" rid="ref38">38</xref>). Bolivians live in adobe brick dwellings, many of which contain physiologically accessible amounts of lead and arsenic that could have a major effect on the population&#x2019;s health risks (<xref ref-type="bibr" rid="ref39">39</xref>). Notably, Latvia and Ukraine had generally had a declining tendency, as indicated by EAPC. These patterns might suggest that the people in the area are more health conscious, which lead to early and effective public health initiatives that focus on disease risk factors and enhancements, such as knowledge of the dangers of excessive alcohol and sodium consumption (<xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>). In line with the findings from SDI areas, the EAPC of illness burden generally showed a positive link with the SDI level, and more cases were discovered in nations with greater SDI. Hence, it is crucial to keep a close eye on the trends in these countries, learn from the preventative and treatment approaches of those where the disease burden has decreased, and develop interventions that are especially tailored to each country&#x2019;s particular situation.</p>
<p>The burden of ILD&#x0026;PS was most prevalent among people between the ages of 50 and 89, with the burden being highest among those between the ages of 70 and 74. In addition, we found that the degree of PC and EAPC in the burden steadily rose with age during the previous 32&#x202F;years, with the 95&#x202F;+&#x202F;age group showing the most notable increases. This underscored how age significantly affects the epidemiology of ILD&#x0026;PS. Given that the old population has the highest mortality rates from COVID-19, influenza, and related causes, population aging may have an effect on the burden of respiratory disorders (<xref ref-type="bibr" rid="ref42">42</xref>). The immune system steadily deteriorates with age, and the buildup of chronic inflammatory reactions over time raises the risk factors by a large margin (<xref ref-type="bibr" rid="ref43">43</xref>). However, comorbidities are becoming more common in older persons, which can make it more difficult to control sarcoidosis and ILD and increase the rates of morbidity and deaths (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). Between 1990 and 2021, medical improvements were the primary cause of the global decline in mortality rates in the 0&#x2013;14 and 50&#x2013;54 age groups. Better results and fewer respiratory issues are achieved with improved child care (<xref ref-type="bibr" rid="ref46">46</xref>). Besides, improved knowledge of the pathophysiology of diseases results in more efficient treatments that reduce symptoms and improve the quality of life for patients in particular age groups (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>In 2021, the ASR burden of ILD&#x0026;PS was larger in males than in women, which is in line with earlier research findings regarding gender discrepancies (<xref ref-type="bibr" rid="ref31">31</xref>). Furthermore, it was predicted that by 2040, the ASR burden of ILD&#x0026;PS will still be substantially larger for men than for women, with men aged 50 and older having a far higher PC of fatalities than women. This may be attributed to the fact that men have historically smoked more than women, and smoking exacerbating the process of pulmonary fibrosis in the alveolar walls (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). From a sociological perspective, men continue to make up the majority of the labor force today, and they are more likely than women to work on building sites, where they are exposed to harmful particles (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref50">50</xref>). However, the estrogen exhibits dual pro-inflammatory and anti-fibrotic effects with its postmenopausal decline compromising these protective effects (<xref ref-type="bibr" rid="ref51">51</xref>). In addition, morphometric analyses reveal sexually dimorphic pulmonary architecture: females possess smaller, prismatic lungs with constrained airway diameters, volumes, and diffusion surfaces versus males&#x2019; expanded alveolar numbers and surface areas at matched anthropometrics, providing a structural basis for differential disease susceptibility (<xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref53">53</xref>). Similarly, contemporary narrowing of occupational exposure disparities between genders, coupled with sociomedical factors such as frequent misdiagnosis of early symptoms as anxiety or menopausal syndrome, collectively contribute to the cause of the more noticeable ASDR and ASMR alterations in females compared to males (<xref ref-type="bibr" rid="ref54 ref55 ref56">54&#x2013;56</xref>). Currently, the most common malignancy in women is breast cancer, and Trastuzumab Deruxtecan treatment has been found to raise the likelihood of getting ILD (<xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref58">58</xref>). In addition, pro-inflammatory and pro-fibrotic factors are greatly influenced by sex hormone control since estrogens encourage remodeling and inflammation while androgens may have the opposite effect (<xref ref-type="bibr" rid="ref59">59</xref>).</p>
<p>While the number of ILD&#x0026;PS cases was expected to increase in the near future, the ASPR and ASIR were expected to decline annually. Although this is encouraging, steps must also be taken to lower mortality and DALY rates. A third fewer premature deaths from NCDs are anticipated occur by 2030, according to the Global Alliance against Chronic Respiratory Disease (GARD).<xref ref-type="fn" rid="fn0003"><sup>3</sup></xref> Therefore, public health programs must be designed by the government to target at-risk groups, especially men over 50 and postmenopausal women. In regions with high disease burdens, improving health education, implementing targeted interventions, and streamlining resource distribution will constitute an effective approach to addressing health disparities and mitigating the pervasive impacts of the disease. Furthermore, the predicted relative decline but absolute rise in burden highlighted the need for primary prevention and early screening, alongside targeted interventions and long-term monitoring.</p>
<p>However, our study has several limitations. Firstly, potential misclassification between ILD and pulmonary sarcoidosis in registries may obscure true disease burdens, particularly where histopathological confirmation is limited. Under-ascertainment in low-resource regions could skew SDI correlations, compounded by ecological fallacy risks when extrapolating country-level SDI to individual risk. Secondly, disparities in diagnostic criteria and case-reporting protocols may introduce systematic biases. Finally, our projections were constrained by current available data and likely underestimate the impact of emerging risk exposures.</p>
</sec>
<sec sec-type="conclusions" id="sec14">
<label>5</label>
<title>Conclusion</title>
<p>In conclusion, our study carefully investigated the incidence, prevalence, DALYs, and mortality associated with ILD&#x0026;PS at the national, regional, and worldwide levels. The burden of ILD&#x0026;PS increased globally over the last 32&#x202F;years, with a considerable increase in high SDI regions and among males. According to our predictions, the ASR stayed the same or even dropped, even while the overall illness burden increased. Actively developing specialized prevention and treatment plans for ILD&#x0026;PS that addressed the particular requirements of different nations and populations was essential.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec15">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>XZ: Data curation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YZ: Writing &#x2013; original draft. YX: Writing &#x2013; original draft. GL: Writing &#x2013; original draft, Supervision. HL: Writing &#x2013; original draft, Supervision. WW: Writing &#x2013; original draft, Supervision. YC: Writing &#x2013; original draft, Supervision. XH: Writing &#x2013; original draft, Funding acquisition. LL: Writing &#x2013; review &#x0026; editing, Project administration, Supervision. XQ: Writing &#x2013; review &#x0026; editing, Supervision, Project administration. SZ: Project administration, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec17">
<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 supported by the Sanming Project of Medicine in Shenzhen (Grant no. SZZYSM202206013); National Chinese Medicine Advantageous Specialty Construction Project (Pulmonary Disease Department of the First Affiliated Hospital of Guangzhou University of Chinese Medicine), Seventh Batch of &#x201C;Guangdong Special Support Program&#x201D; Provincial Health and Health Commission (Health and Health Talents) Project (Grant no. 0720240224), Guangzhou University of Chinese Medicine Young Top Talents (Team) Cultivation &#x201C;Unveiling the List of Commanders&#x201D; Project and Guangdong Province Key Departments (Chinese and Western Medicine Collaborative Departments) Construction Project. This work was also supported by Guangdong Provincial Bureau of Traditional Chinese Medicine Project (Grant no. 20241265 and 20231296); Bao&#x2019;an District Chinese Medicine Clinical Research Program (Grant nos. 2023ZYYLCZX-9 and 2023ZYYLCZX-11), Shenzhen Science and Technology Innovation Bureau Basic Research Top Project (Grant no. JCYJ20240813114911016) and 2024 High-quality Development Research Project of Shenzhen Bao&#x2019;an Public Hospital&#x201D; (Grant no. BAGZL2024053); Bao&#x2019;an District Healthcare Research Program (Grant nos. 2023JD124, 2023JD107, 2023JD105, 2024JD289, 2024JD293, 2024JD316, BAYXH2024011 and 2023JD110); Intramural Issues of Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine (Grant nos. YJ-2023-106, YJ-2023-104 and YJ-2023-115). This study was also supported by the 2025 &#x201C;Jie Bang Gua Shuai&#x201D; Graduate Innovation Ability Improvement Project of the First Clinical Medical College, Guangzhou University of Chinese Medicine (Grant No. A3-0317-25-110-004).</p>
</sec>
<ack>
<p>We acknowledge the exceptional contributions made by the collaborators of the Global Burden of Diseases 2021.</p>
</ack>
<sec sec-type="COI-statement" id="sec18">
<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="sec19">
<title>Generative AI statement</title>
<p>The author(s) 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="sec20">
<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="sec21">
<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/fmed.2025.1650997/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmed.2025.1650997/full#supplementary-material</ext-link></p>
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<supplementary-material xlink:href="Supplementary_file_1.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>ILD&#x0026;PS, Interstitial lung disease and pulmonary sarcoidosis; GBD, Global Burden of Disease; ILDs, interstitial lung diseases; IPF, idiopathic pulmonary fibrosis; SDI, sociodemographic index; PC, Percentage change; EAPC, estimated annual percentage change; CI, confidence interval; UI, uncertainty interval; DALYs, disability-Adjusted Life Year; ASPR, Age-standardized prevalence rate; ASIR, Age-standardized incidence rate; ASDR, Age-standardized DALYs rate; ASMR, Age-standardized mortality rate; ASR, Age-standardized rate.</p>
</fn>
</fn-group>
<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://vizhub.healthdata.org/gbd-results/" ext-link-type="uri">https://vizhub.healthdata.org/gbd-results/</ext-link></p></fn>
<fn id="fn0002"><p><sup>2</sup><ext-link xlink:href="https://ghdx.healthdata.org/record/ihme-data/gbd-2021-cause-icd-code-mappings" ext-link-type="uri">https://ghdx.healthdata.org/record/ihme-data/gbd-2021-cause-icd-code-mappings</ext-link></p></fn>
<fn id="fn0003"><p><sup>3</sup><ext-link xlink:href="http://www.who.int/nmh/events/ncd_action_plan/en/" ext-link-type="uri">http://www.who.int/nmh/events/ncd_action_plan/en/</ext-link></p></fn>
</fn-group>
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