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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2025.1594847</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Late HIV/AIDS diagnosis among people living with HIV in Wuhan in 2023</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Tang</surname> <given-names>Li</given-names></name>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Du</surname> <given-names>Yan-Tao</given-names></name>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Kong</surname> <given-names>Wen-Hua</given-names></name>
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<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Pan</given-names></name>
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<contrib contrib-type="author">
<name><surname>Zhu</surname> <given-names>Ze-Rong</given-names></name>
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<contrib contrib-type="author">
<name><surname>Xie</surname> <given-names>Shi-Zhe</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Man-Qing</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff><institution>Department of Pathogen and Immunology, Wuhan Center for Disease Control and Prevention</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Eleonora Cella, University of Central Florida, United States</p></fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Ran Wang, Capital Medical University, China</p>
<p>Igor Rosa Meurer, Brazilian Company of Hospital Services, Brazil</p>
<p>Hafidha Bakari, University of Dar es Salaam, Tanzania</p></fn>
<corresp id="c001">&#x002A;Correspondence: Man-Qing Liu, <email>liumq33@hotmail.com</email></corresp>
<fn fn-type="equal" id="fn0001"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>05</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1594847</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>04</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Tang, Du, Kong, Liu, Zhu, Xie and Liu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Tang, Du, Kong, Liu, Zhu, Xie and Liu</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>
<p>Late HIV diagnosis is defined as presenting for care with a CD4 count &#x003C;350 cells/&#x03BC;l or an AIDS-defining event, and it continues to be a significant challenge in the global effort to prevent and control HIV/AIDS. To examine the late diagnosis of HIV in Wuhan, we retrospectively analyzed cases of late diagnosis among newly identified people living with HIV in 2023. Of the 383 newly diagnosed individuals with HIV infection, 260 (67.89%) were diagnosed late and their CD4 counts were less than 350 cells/&#x03BC;l. Among them, 135 (35.25%) had advanced HIV disease, with CD4 counts below 200 cells/&#x03BC;l. Compared to those diagnosed promptly, the population with late HIV diagnosis had a higher viral load, older age, and lower CD/CD8 ratio. They were also more likely to be men who have sex with men (MSM) or farmers, and were typically diagnosed through voluntary counseling and testing (VCT) or clinical patients. These findings highlight the high rate of late HIV diagnosis in Wuhan, suggesting the need for more attention and more targeted measures toward earlier diagnosis within the population.</p>
</abstract>
<kwd-group>
<kwd>late HIV diagnosis</kwd>
<kwd>advanced HIV diseases</kwd>
<kwd>CD4 counts</kwd>
<kwd>men who have sex with men</kwd>
<kwd>Wuhan</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="7"/>
<word-count count="4403"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Virology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Human immunodeficiency virus (HIV) infection continues to be a major global public health issue, having claimed 42.3 million lives so far (<xref ref-type="bibr" rid="ref32">World Health Organization, 2024a</xref>). HIV targets the body&#x2019;s immune system, specifically CD4 cells, weakening immunity against opportunistic infections, such as bacterial, fungal, and viral infections (<xref ref-type="bibr" rid="ref20">Meintjes and Maartens, 2024</xref>; <xref ref-type="bibr" rid="ref15">Ji et al., 2024</xref>; <xref ref-type="bibr" rid="ref35">You et al., 2023</xref>; <xref ref-type="bibr" rid="ref16">Jose-Abrego et al., 2023</xref>; <xref ref-type="bibr" rid="ref5">Changizi et al., 2023</xref>; <xref ref-type="bibr" rid="ref12">Gu et al., 2024</xref>; <xref ref-type="bibr" rid="ref24">Oranuka et al., 2024</xref>; <xref ref-type="bibr" rid="ref1">Baghi et al., 2024</xref>), and contributing to the development of certain cancers (<xref ref-type="bibr" rid="ref1">Baghi et al., 2024</xref>; <xref ref-type="bibr" rid="ref11">Ding et al., 2023</xref>; <xref ref-type="bibr" rid="ref30">Vulchi et al., 2023</xref>; <xref ref-type="bibr" rid="ref8">Chudasma et al., 2023</xref>; <xref ref-type="bibr" rid="ref36">Zhang et al., 2023</xref>; <xref ref-type="bibr" rid="ref23">Omar et al., 2024</xref>) and other diseases (<xref ref-type="bibr" rid="ref22">Nwabuko, 2023</xref>; <xref ref-type="bibr" rid="ref14">Hudson et al., 2024</xref>; <xref ref-type="bibr" rid="ref25">Plummer and Pavia, 2021</xref>). As a result, HIV caused the deaths of 630,000 people in the world in 2023 (<xref ref-type="bibr" rid="ref32">World Health Organization, 2024a</xref>). Meanwhile, HIV infection often weakens immune function, resulting in vaccine immunization failure (<xref ref-type="bibr" rid="ref25">Plummer and Pavia, 2021</xref>; <xref ref-type="bibr" rid="ref2">Bello et al., 2024</xref>; <xref ref-type="bibr" rid="ref6">Cheung et al., 2023</xref>). Fortunately, the widespread use of effective antiretroviral therapy (ART) has dramatically reduced HIV-related morbidity, mortality, and transmission (<xref ref-type="bibr" rid="ref38">Zhou et al., 2014</xref>), transforming acquired immune deficiency syndrome (AIDS) into a manageable chronic disease (<xref ref-type="bibr" rid="ref19">Luo et al., 2023</xref>; <xref ref-type="bibr" rid="ref4">Chakrabarti and Chattopadhyay, 2024</xref>).</p>
<p>Testing for HIV is the only way to know if a person is infected. For this reason, the Joint United Nations Programme on HIV/AIDS (UNAIDS) has identified the detection of HIV/AIDS as the primary goal of the 95&#x2013;95-95 target by 2025 (<xref ref-type="bibr" rid="ref21">Mine et al., 2024</xref>). Despite many measures taken worldwide to promote testing, only 86% of all people living with HIV knew their HIV status, and only 1.3 million new diagnoses were reported in 2023 (<xref ref-type="bibr" rid="ref29">UNAIDS, 2024</xref>), with more than half of those diagnoses being made late (<xref ref-type="bibr" rid="ref33">World Health Organization, 2024b</xref>). In China, despite the implementation of a series of policies such as the &#x201C;Four Frees and One Care&#x201D; (<xref ref-type="bibr" rid="ref17">Liu et al., 2013</xref>) and the establishment of a highly sophisticated HIV surveillance and reporting system (<xref ref-type="bibr" rid="ref3">Cai et al., 2024</xref>), an average of 15 new HIV infections were identified every hour in 2021 (<xref ref-type="bibr" rid="ref31">Wang et al., 2022</xref>). Additionally, the rate of late HIV diagnosis in China ranged from 35.5 to 70.2% (<xref ref-type="bibr" rid="ref13">Hu et al., 2019</xref>). According to the definition endorsed by the European Centre for Disease Prevention and Control (ECDC) and the World Health Organization (WHO), late diagnosis, rather than late presentation, is defined as having a CD4 count &#x003C;350 cells/&#x03BC;l or an AIDS-defining event (<xref ref-type="bibr" rid="ref10">Croxford et al., 2022</xref>). Late HIV diagnosis has been shown to be associated with poor outcomes, an increased risk of ongoing HIV transmission, high healthcare costs, and a significant impact on long-term health (<xref ref-type="bibr" rid="ref9">Collins et al., 2022</xref>). Considering that the proportion of late diagnoses was affected by regions, populations, and policies, we conducted this retrospective study of late HIV diagnoses in Wuhan to guide the prevention and control of HIV/AIDS in the region.</p>
</sec>
<sec sec-type="methods" id="sec2">
<title>Methods</title>
<sec id="sec3">
<title>Data collection</title>
<p>As described previously (<xref ref-type="bibr" rid="ref17">Liu et al., 2013</xref>), individuals who tested HIV antibody positive through Western blot (WB) were followed up with laboratory testing for CD4&#x202F;+&#x202F;T cell count and plasma HIV-1 viral load. The laboratory testing and follow-up of people living with HIV were reviewed and approved by the Ethics Committee of the Wuhan Center for Disease Prevention and Control, and verbal informed consent was obtained from patients. The epidemic information and laboratory results of individuals were stored in the Managing Database of HIV/AIDS in Wuhan. Thus, data from this database were collected, including demographic information, sampling dates, and laboratory results. The inclusion criteria were: (1) newly diagnosed as HIV antibody positive in 2023 and (2) having a CD4&#x202F;+&#x202F;T cell count test within 3&#x202F;months of the HIV diagnosis date. The exclusion criteria were: (1) previously diagnosed as HIV antibody positive and (2) having the first CD4&#x202F;+&#x202F;T cell count test conducted more than 3&#x202F;months after the HIV diagnosis date. Based on their CD4 counts, individuals with CD4&#x202F;&#x003C;&#x202F;350 cells/&#x03BC;l were classified as having a late HIV diagnosis, and those with CD4&#x202F;&#x003C;&#x202F;200 cells/&#x03BC;l were described as having advanced HIV disease.</p>
</sec>
<sec id="sec4">
<title>Statistical analysis</title>
<p>Categorical variables were analyzed using the chi-squared of Fisher&#x2019;s exact test, while continuous variables were analyzed using student <italic>t</italic>-tests. Statistical analysis was performed using GraphPad Instat version 9.0.0 (GraphPad Software, San Diego, CA), and data were presented as mean &#x00B1; standard deviation (SD). A <italic>p</italic>-value of &#x003C;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec5">
<title>Results</title>
<p>In 2023, a total of 383 individuals newly diagnosed with HIV-1 infection were enrolled, including 337 men (87.99%) and 46 women. The median age was 38&#x202F;years [interquartile range (IQR): 24&#x2013;53&#x202F;years]. Men (36.52&#x202F;&#x00B1;&#x202F;15.76&#x202F;years) were significantly younger than women (51.54&#x202F;&#x00B1;&#x202F;10.86&#x202F;years; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). Based on CD4&#x202F;+&#x202F;T cell counts tested within 3&#x202F;months of diagnosis, 135 individuals (35.25%) had CD4&#x202F;+&#x202F;T cell counts &#x003C;200 cells/&#x03BC;l, while 125 (32.64%) and 123 (32.11%) individuals had counts of 200&#x2013;349 cells/&#x03BC;l and &#x2265;350 cells/&#x03BC;l, respectively (<xref ref-type="table" rid="tab1">Table 1</xref>). Thus, according to the definition, the rates of late HIV diagnosis (CD4&#x202F;&#x003C;&#x202F;350 cells/&#x03BC;l) and advanced HIV disease (AHD) (CD4&#x202F;&#x003C;&#x202F;200 cells/&#x03BC;l) were 67.89 and 35.25%, respectively, in Wuhan city in 2023. Subjects with late HIV diagnosis had CD4&#x202F;+&#x202F;T cell counts of 186.60&#x202F;&#x00B1;&#x202F;96.24 cells/&#x03BC;l, CD8&#x202F;+&#x202F;T cell counts of 887.48&#x202F;&#x00B1;&#x202F;494.48 cells/&#x03BC;l, CD4/CD8 value of 0.27&#x202F;&#x00B1;&#x202F;0.18, and HIV-1 viral load of 2.13&#x202F;&#x00B1;&#x202F;6.26&#x202F;&#x00D7;&#x202F;10<sup>5</sup> copies/ml. In comparison, patients with advanced HIV disease (AHD) had CD4+, CD8&#x202F;+&#x202F;T cells counts, CD4/CD8 ratio, and viral load for the patients with AHD were 110.24&#x202F;&#x00B1;&#x202F;62.77 cells/&#x03BC;l, 790.83&#x202F;&#x00B1;&#x202F;559.02 cells/&#x03BC;l, 0.19&#x202F;&#x00B1;&#x202F;0.13, and 3.16&#x202F;&#x00B1;&#x202F;8.40&#x202F;&#x00D7;&#x202F;10<sup>5</sup> copies/ml, respectively (<xref ref-type="table" rid="tab1">Table 1</xref>). Compared to those diagnosed promptly, the subjects with late diagnosis exhibited both higher HIV-1 viral load and lower CD4/CD8 ratios (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), with those with AHD demonstrating even more pronounced abnormalities in these parameters (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Laboratory results of newly diagnosed HIV/AIDS in Wuhan in 2023.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="center" valign="top" colspan="2">CD4 &#x003C;&#x202F;200cells/&#x03BC;l</th>
<th align="center" valign="top" colspan="2">CD4 200&#x2013;349 cells/&#x03BC;l</th>
<th align="center" valign="top" colspan="2">CD4&#x202F;&#x2265;&#x202F;350 cells/&#x03BC;l</th>
<th align="center" valign="top" colspan="2">Total</th>
</tr>
<tr>
<th align="center" valign="top">n</th>
<th align="center" valign="top">Value<xref ref-type="table-fn" rid="tfn1"><sup>&#x002A;</sup></xref></th>
<th align="center" valign="top">n</th>
<th align="center" valign="top">Value<xref ref-type="table-fn" rid="tfn1"><sup>&#x002A;</sup></xref></th>
<th align="center" valign="top">n</th>
<th align="center" valign="top">Value<xref ref-type="table-fn" rid="tfn1"><sup>&#x002A;</sup></xref></th>
<th align="center" valign="top">n</th>
<th align="center" valign="top">Value<xref ref-type="table-fn" rid="tfn1"><sup>&#x002A;</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">n</td>
<td align="center" valign="middle">135</td>
<td align="center" valign="middle">35.25%</td>
<td align="center" valign="middle">125</td>
<td align="center" valign="middle">32.64%</td>
<td align="center" valign="middle">123</td>
<td align="center" valign="middle">32.11%</td>
<td align="center" valign="middle">383</td>
<td align="center" valign="middle">100%</td>
</tr>
<tr>
<td align="left" valign="middle">CD4&#x202F;+&#x202F;T cell counts</td>
<td align="center" valign="middle">135</td>
<td align="center" valign="middle">110.24&#x202F;&#x00B1;&#x202F;62.77</td>
<td align="center" valign="middle">125</td>
<td align="center" valign="middle">269.06&#x202F;&#x00B1;&#x202F;43.40</td>
<td align="center" valign="middle">123</td>
<td align="center" valign="middle">490.79&#x202F;&#x00B1;&#x202F;144.71</td>
<td align="center" valign="middle">383</td>
<td align="center" valign="middle">284.29&#x202F;&#x00B1;&#x202F;182.19</td>
</tr>
<tr>
<td align="left" valign="middle">CD8&#x202F;+&#x202F;T cell counts</td>
<td align="center" valign="middle">54</td>
<td align="center" valign="middle">790.83&#x202F;&#x00B1;&#x202F;559.02</td>
<td align="center" valign="middle">65</td>
<td align="center" valign="middle">967.77&#x202F;&#x00B1;&#x202F;421.42</td>
<td align="center" valign="middle">90</td>
<td align="center" valign="middle">1185.44&#x202F;&#x00B1;&#x202F;533.97</td>
<td align="center" valign="middle">209</td>
<td align="center" valign="middle">1015.79&#x202F;&#x00B1;&#x202F;531.59</td>
</tr>
<tr>
<td align="left" valign="middle">CD4/CD8 ratio</td>
<td align="center" valign="middle">54</td>
<td align="center" valign="middle">0.19&#x202F;&#x00B1;&#x202F;0.13</td>
<td align="center" valign="middle">65</td>
<td align="center" valign="middle">0.35&#x202F;&#x00B1;&#x202F;0.18</td>
<td align="center" valign="middle">90</td>
<td align="center" valign="middle">0.49&#x202F;&#x00B1;&#x202F;0.23</td>
<td align="center" valign="middle">209</td>
<td align="center" valign="middle">0.37&#x202F;&#x00B1;&#x202F;0.23</td>
</tr>
<tr>
<td align="left" valign="middle">HIV-1 viral load &#x002A;10<sup>5</sup></td>
<td align="center" valign="middle">135</td>
<td align="center" valign="middle">3.16&#x202F;&#x00B1;&#x202F;8.40</td>
<td align="center" valign="middle">124</td>
<td align="center" valign="middle">1.01&#x202F;&#x00B1;&#x202F;1.72</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">0.43&#x202F;&#x00B1;&#x202F;0.69</td>
<td align="center" valign="middle">380</td>
<td align="center" valign="middle">1.60&#x202F;&#x00B1;&#x202F;5.25</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>n</italic>, number.</p>
<fn id="tfn1"><label>&#x002A;</label><p>Value was presented as percentage or mean&#x202F;&#x00B1;&#x202F;standard deviation.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Comparison of HIV-1 viral loads <bold>(A)</bold> and CD4/CD8 ratios <bold>(B)</bold> in the newly identified subjects with different CD4&#x202F;+&#x202F;T cell counts. The results indicated that, compared to those diagnosed promptly (CD4&#x202F;+&#x202F;T cell counts&#x202F;&#x2265;&#x202F;350/&#x03BC;l), the subjects with late diagnosis (CD4&#x202F;+&#x202F;T cell counts &#x003C; 350/&#x03BC;l) exhibited both higher HIV-1 viral load and lower CD4/CD8 ratios (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), with those with advanced HIV disease (AHD, CD4&#x202F;+&#x202F;T cell counts &#x003C;200/&#x03BC;l) demonstrating even more pronounced abnormalities in these parameters. &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;p&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</caption>
<graphic xlink:href="fmicb-16-1594847-g001.tif"/>
</fig>
<sec id="sec6">
<title>Factors associated with late HIV diagnosis</title>
<p>In <xref ref-type="table" rid="tab2">Table 2</xref>, we compared various factors between patients with late diagnosis and those diagnosed promptly. Significant differences were observed in age, HIV diagnosis routes, and occupations between the two groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Specifically, patients with late diagnosis were significantly older (40.73&#x202F;&#x00B1;&#x202F;16.23&#x202F;years) than those diagnosed promptly (33.22&#x202F;&#x00B1;&#x202F;14.31&#x202F;years, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Among all age groups, patients older than 60&#x202F;years had the highest rate of late HIV diagnosis rate (83.72%, <xref ref-type="fig" rid="fig2">Figure 2A</xref>). Individuals with late diagnosis were mainly men who have sex with men (MSM, 54.65%) and were diagnosed through voluntary counseling and testing (VCT, 16.15%) or as clinical patients (49.23%). The rates of late diagnosis among those diagnosed through VCT and clinical settings were 72.41 and 76.19%, respectively (<xref ref-type="fig" rid="fig2">Figure 2B</xref>). However, MSM had the lowest late HIV diagnosis rate (63.51%, <xref ref-type="fig" rid="fig2">Figure 2C</xref>) compared to individuals infected through heterosexual intercourse or injection drug use. When classified by occupation, farmers had the highest rate of late HIV diagnosis (100%, <xref ref-type="fig" rid="fig2">Figure 2D</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Comparison of characteristics between late HIV diagnosis and those diagnosed promptly.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Late HIV diagnosis (CD4&#x202F;&#x003C;&#x202F;350 cells/&#x03BC;l)</th>
<th align="center" valign="top">HIV diagnosed promptly (CD4&#x202F;&#x2265;&#x202F;350 cells/&#x03BC;l)</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>n</italic></td>
<td align="center" valign="top">260 (67.89%)</td>
<td align="center" valign="top">123 (32.11%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Sex</td>
<td/>
<td/>
<td align="center" valign="middle">0.2405</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">225 (86.54%)</td>
<td align="center" valign="middle">112 (91.006%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">35 (13.46%)</td>
<td align="center" valign="middle">11 (8.94%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td/>
<td/>
<td align="center" valign="middle">0.0002</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003C;24y</td>
<td align="center" valign="middle">51 (19.61%)</td>
<td align="center" valign="middle">46 (37.40%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">25&#x2013;39y</td>
<td align="center" valign="middle">85 (32.69%)</td>
<td align="center" valign="middle">44 (35.77%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">40&#x2013;59y</td>
<td align="center" valign="middle">88 (33.85%)</td>
<td align="center" valign="middle">26 (21.14%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;60y</td>
<td align="center" valign="middle">36 (13.85%)</td>
<td align="center" valign="middle">7 (5.69%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Mean (years)</td>
<td align="center" valign="middle">40.73&#x202F;&#x00B1;&#x202F;16.23</td>
<td align="center" valign="middle">33.22&#x202F;&#x00B1;&#x202F;14.31</td>
<td align="center" valign="middle">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="middle">Ethnicity</td>
<td/>
<td/>
<td align="center" valign="middle">0.1271</td>
</tr>
<tr>
<td align="left" valign="middle">Han</td>
<td align="center" valign="middle">254 (97.69%)</td>
<td align="center" valign="middle">116 (94.31%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Others</td>
<td align="center" valign="middle">6 (2.31%)</td>
<td align="center" valign="middle">7 (5.69%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Marital status</td>
<td/>
<td/>
<td align="center" valign="middle">0.0874</td>
</tr>
<tr>
<td align="left" valign="middle">Married</td>
<td align="center" valign="middle">67 (25.77%)</td>
<td align="center" valign="middle">23 (18.70%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Single</td>
<td align="center" valign="middle">119 (45.77%)</td>
<td align="center" valign="middle">73 (59.35%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Divorced or widowed</td>
<td align="center" valign="middle">27 (10.38%)</td>
<td align="center" valign="middle">8 (6.50%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Unknown</td>
<td align="center" valign="middle">47 (18.08%)</td>
<td align="center" valign="middle">19 (15.45%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Main transmission risk</td>
<td/>
<td/>
<td align="center" valign="middle">0.0055</td>
</tr>
<tr>
<td align="left" valign="middle">MSM</td>
<td align="center" valign="middle">141 (54.23%)</td>
<td align="center" valign="middle">81 (65.85%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Heterosexual intercourse</td>
<td align="center" valign="middle">90 (34.62%)</td>
<td align="center" valign="middle">25 (20.33%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">IDU</td>
<td align="center" valign="middle">27 (10.38%)</td>
<td align="center" valign="middle">12 (9.76%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Unknown</td>
<td align="center" valign="middle">2 (0.77%)</td>
<td align="center" valign="middle">5 (4.06%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">HIV diagnosis through</td>
<td/>
<td/>
<td align="center" valign="middle">0.0103</td>
</tr>
<tr>
<td align="left" valign="middle">VCT</td>
<td align="center" valign="middle">42 (16.15%)</td>
<td align="center" valign="middle">16 (13.01)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Clinical patients</td>
<td align="center" valign="middle">128 (49.24%)</td>
<td align="center" valign="middle">40 (32.52%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Subject investigation</td>
<td align="center" valign="middle">33 (12.69%)</td>
<td align="center" valign="middle">20 (16.26%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Voluntary blood donation</td>
<td align="center" valign="middle">4 (1.54%)</td>
<td align="center" valign="middle">3 (2.44%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Physical examination<xref ref-type="table-fn" rid="tfn2"><sup>&#x002A;</sup></xref></td>
<td align="center" valign="middle">4 (1.54%)</td>
<td align="center" valign="middle">7 (5.69%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Positive patient&#x2019;s spouse</td>
<td align="center" valign="middle">3 (1.15%)</td>
<td align="center" valign="middle">2 (1.63%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Others</td>
<td align="center" valign="middle">46 (17.69%)</td>
<td align="center" valign="middle">35 (28.46%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Occupation</td>
<td/>
<td/>
<td align="center" valign="middle">0.0011</td>
</tr>
<tr>
<td align="left" valign="middle">Commercial services</td>
<td align="center" valign="middle">47 (18.08%)</td>
<td align="center" valign="middle">36 (29.27%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Students</td>
<td align="center" valign="middle">31 (11.92%)</td>
<td align="center" valign="middle">20 (16.26%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Household or unemployment</td>
<td align="center" valign="middle">26 (10.00%)</td>
<td align="center" valign="middle">11 (8.94%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Farmers</td>
<td align="center" valign="middle">15 (5.77%)</td>
<td align="center" valign="middle">0 (0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Retired</td>
<td align="center" valign="middle">13 (5.00%)</td>
<td align="center" valign="middle">5 (4.06%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Others</td>
<td align="center" valign="middle">37 (14.23%)</td>
<td align="center" valign="middle">5 (4.06%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Unknown</td>
<td align="center" valign="middle">91 (35.00%)</td>
<td align="center" valign="middle">46 (37.40%)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>n, number; VCT, voluntary counseling and testing; IDU, injection drug users; MSM, men who have sex with men.</p>
<fn id="tfn2"><label>&#x002A;</label><p>Physical examination for recruits, entry-exit personnel, prisoners, maternal, recipient of blood, etc.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Comparison of late HIV diagnosis rate among the newly identified people living with HIV classified by age groups <bold>(A)</bold>, diagnosis routes <bold>(B)</bold>, infection routes <bold>(C)</bold>, or occupation <bold>(D)</bold>. The highest late HIV diagnosis rate was primarily to be older than 60&#x202F;years, farmers, infected by heterosexual contact, diagnosed through subject investigation.</p>
</caption>
<graphic xlink:href="fmicb-16-1594847-g002.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec7">
<title>Discussion</title>
<p>In this study, we reported that the rate of late HIV diagnosis in Wuhan city in 2023 was 67.89%, with 35.25% of cases classified as advanced HIV disease. Although this conclusion was based only on laboratory CD4 counts and lacked clinical evidence (<xref ref-type="bibr" rid="ref10">Croxford et al., 2022</xref>), it appears similar to those previously reported in China, such as in Hunan province (66.6%) (<xref ref-type="bibr" rid="ref27">Su et al., 2024</xref>), Guangxi Zhuang Autonomous Region (70.2%) (<xref ref-type="bibr" rid="ref13">Hu et al., 2019</xref>), and Suzhou city (57.6%) (<xref ref-type="bibr" rid="ref34">Xu et al., 2023</xref>). A study spanning more than 10&#x202F;years revealed that late HIV diagnosis in China had steadily increased in recent years (<xref ref-type="bibr" rid="ref26">Shi et al., 2022</xref>). Despite huge efforts to improve testing, the high rate of late HIV diagnosis remains a great challenge to achieving the &#x201C;95&#x2013;95-95&#x201D; targets proposed by UNAIDS.</p>
<p>Many factors affect the late diagnosis of HIV infection, including demographic characteristics and socio-economic factors, testing awareness and psychological factors, medical resources and testing routes, infection and transmission routes, policies, and prevention and control strategies (<xref ref-type="bibr" rid="ref9">Collins et al., 2022</xref>; <xref ref-type="bibr" rid="ref7">Chopel et al., 2014</xref>; <xref ref-type="bibr" rid="ref28">Sun et al., 2021</xref>). In this study, we found that the population with a late HIV diagnosis differs from those diagnosed promptly in terms of age, infection route, testing route, and occupation. Specifically, the proportion of late HIV diagnoses in Wuhan was highest among individuals over 60&#x202F;years, those infected through heterosexual transmission, farmers, and clinical patients. The high rate of late HIV diagnosis among the elderly and farmers may be associated with their lower awareness of AIDS-related knowledge and active testing. Interestingly, our research suggested that the proportion of late diagnoses increased with age, especially for the age group of &#x2265;60&#x202F;years (83.72%). This finding is consistent with previous reports in China and may be related to factors such as living conditions, awareness of testing, and physical conditions (<xref ref-type="bibr" rid="ref37">Zheng, 2020</xref>). Similarly, the higher rate of late HIV diagnosis among farmers may also be related to their awareness and accessibility of HIV testing. Late HIV diagnosis among heterosexual infected individuals was relatively higher than that of MSM or IDU. In recent years, several intervention programs to promote testing frequency, the use of PrEP, testing adherence, and heightened awareness have been conducted among MSM, which may influence the proportion of late diagnoses. In addition, <xref ref-type="table" rid="tab1">Table 1</xref> indicates that individuals who were divorced or widowed had a higher risk of late HIV diagnosis than other marital status groups, which may be related to factors such as lack of partner support or delayed medical treatment due to psychological pressure. Therefore, it is crucial to implement HIV/AIDS-related health education for a broader population and conduct HIV screening for the entire population, especially key groups such as the elderly and farmers.</p>
<p>HIV viral load and the CD4/CD8 ratio are important measures in monitoring HIV infection. The HIV-1 viral load steadily increases and the risk of transmission 3&#x2013;5&#x202F;years after infection is also higher in the late HIV diagnosis population (<xref ref-type="bibr" rid="ref9">Collins et al., 2022</xref>). Our research showed that the HIV-1 viral load in individuals with late HIV diagnosis was significantly higher than that in those diagnosed promptly, with the highest viral loads observed in those with advanced HIV disease. This finding is consistent with our previous research, which found a negative correlation between viral load and CD4&#x202F;+&#x202F;T cell counts (<xref ref-type="bibr" rid="ref17">Liu et al., 2013</xref>). Late HIV diagnosis and high viral load both increase the risk of HIV transmission and pose significant challenges to HIV/AIDS prevention and control. The CD4/CD8 ratio was an important indicator for evaluating immune status. People with late HIV diagnosis typically have lower CD4 cell counts and higher CD8 cell counts, which results in a significantly lower CD4/CD8 ratio than the normal range. This study indicated that the CD4/CD8 ratio was positively correlated with CD4&#x202F;+&#x202F;T cell count, with individuals who were diagnosed later having lower CD4/CD8 ratios. Therefore, early diagnosis and treatment would help to improve the immune status of individuals and reduce the spread of HIV.</p>
<p>Since the first case of HIV was reported in China, several key policies have been implemented to prevent HIV, including the Blood Donation Law (1998), the first Five-Year Action Plan for the Containment and Control of HIV/AIDS (2001), the &#x201C;Four Frees and One Care&#x201D; policy (2003), and the &#x201C;Five Expands, Six Strengths&#x201D; Strategy (2010) (<xref ref-type="bibr" rid="ref18">Lu et al., 2020</xref>). Despite significant progress towards achieving the UNAIDS &#x201C;95&#x2013;95-95&#x201D; targets by 2025, especially for the detection of HIV/AIDS, late HIV diagnosis as a key metric to measure the public health response, remains stubbornly high in nearly every country (<xref ref-type="bibr" rid="ref10">Croxford et al., 2022</xref>), including China. Thus, a more thorough investigation of late HIV diagnosis and its influencing factors is needed. Such studies will provide insight into the blind spots in HIV/AIDS intervention in the region, helping to propose more targeted intervention measures, including targeted screening, public awareness campaigns (especially for the elderly and farmers), strengthening primary care engagement, and improving the precision of intervention through artificial intelligence or big data-based predictive models.</p>
<p>In summary, this study reported that the rate of late HIV diagnosis in Wuhan in 2023 was as high as 67.89%, influenced by various economic and social factors. This highlights the need for local HIV/AIDS prevention and control efforts to focus not only on identifying more people living with HIV but also on improving early diagnosis of HIV/AIDS.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec8">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec9">
<title>Author contributions</title>
<p>LT: Methodology, Data curation, Writing &#x2013; original draft. Y-TD: Data curation, Writing &#x2013; original draft. WK: Writing &#x2013; review &#x0026; editing. PL: Data curation, Writing &#x2013; review &#x0026; editing. Z-RZ: Writing &#x2013; review &#x0026; editing, Data curation. S-ZX: Writing &#x2013; review &#x0026; editing, Data curation. M-QL: Resources, Formal analysis, Validation, Visualization, Funding acquisition, Project administration, Supervision, Data curation, Investigation, Methodology, Software, Writing &#x2013; original draft, Conceptualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec10">
<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 Public Health Youth Top-notch Talent Project of Hubei Province.</p>
</sec>
<sec sec-type="COI-statement" id="sec11">
<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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="ai-statement" id="sec12">
<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="sec13">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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