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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Glob. Women&#x2019;s Health</journal-id><journal-title-group>
<journal-title>Frontiers in Global Women&#x0027;s Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Glob. Women&#x2019;s Health</abbrev-journal-title></journal-title-group>
<issn pub-type="epub">2673-5059</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fgwh.2025.1596520</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Effect of Hepatitis B virus infection during pregnancy on the risk of postpartum hemorrhage: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Chen</surname><given-names>Jingwen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author"><name><surname>Deng</surname><given-names>Ke</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Zhao</surname><given-names>Peng</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><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Liao</surname><given-names>Mingyu</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><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Guo</surname><given-names>Jin</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><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Chunrong</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><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Cai</surname><given-names>Qixin</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role></contrib>
<contrib contrib-type="author"><name><surname>Zou</surname><given-names>Kang</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><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Xiong</surname><given-names>Yiquan</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="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2114588/overview"/><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Tan</surname><given-names>Jing</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="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1978655/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>General Practice Medical Center, Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University</institution>, <city>Chengdu</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan</institution>, <city>Chengdu</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Sichuan Center of Technology Innovation for Real World Data</institution>, <city>Chengdu</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Acupuncture and Tuina, College of Chinese Medicine, Chongqing Medical University</institution>, <city>Chongqing</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Yiquan Xiong <email xlink:href="mailto:xiongyq@ scu.edu.cn">xiongyq@ scu.edu.cn</email> Jing Tan <email xlink:href="mailto:tanjing84@outlook.com">tanjing84@outlook.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-09"><day>09</day><month>01</month><year>2026</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>6</volume><elocation-id>1596520</elocation-id>
<history>
<date date-type="received"><day>19</day><month>03</month><year>2025</year></date>
<date date-type="rev-recd"><day>05</day><month>12</month><year>2025</year></date>
<date date-type="accepted"><day>05</day><month>12</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 Chen, Deng, Zhao, Liao, Guo, Liu, Cai, Zou, Xiong and Tan.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>Chen, Deng, Zhao, Liao, Guo, Liu, Cai, Zou, Xiong and Tan</copyright-holder><license><ali:license_ref start_date="2026-01-09">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p></license>
</permissions>
<abstract><sec><title>Aim</title>
<p>Hepatitis B virus (HBV) infection during pregnancy is one of the most common comorbidities, which may increase the risk of adverse obstetric and perinatal outcomes. However, the association between maternal HBV infection and postpartum hemorrhage (PPH) remains uncertain. The aim of this study is to evaluate whether maternal HBV infection will increase the risk of PPH.</p>
</sec><sec><title>Methods</title>
<p>Five English and three Chinese databases were searched from inception to 30 June 2024, with the aim to include recently published eligible studies. Cohort and case&#x2013;control studies that evaluated the association between maternal HBV infection and PPH were included. The Newcastle&#x2013;Ottawa scale was used to evaluate the risk of bias for the included studies. We pooled crude relative risk (cRR) and adjusted odds ratio (aOR) as effect sizes. Three subgroup analyses and seven sensitivity analyses were performed.</p>
</sec><sec><title>Results</title>
<p>A total of 21 cohort studies involving 379,782 participants were included. The pooled results of the unadjusted data revealed that maternal HBV infection was associated with an increased risk of PPH [cRR&#x2009;&#x003D;&#x2009;1.18, 95&#x0025; confidence interval (CI): 1.06&#x2013;1.31]. Furthermore, the pooled results of adjusted data showed a similar risk of PPH (aOR&#x2009;&#x003D;&#x2009;1.50, 95&#x0025; CI: 1.29&#x2013;1.73). The effect was similar in three subgroup analyses (i.e., sample size, study region, and prevalence of HBV infection). Sensitivity analyses confirmed that the primary results were robust.</p>
</sec><sec><title>Conclusions</title>
<p>Maternal HBV infection is associated with an increased risk of PPH. Further studies are warranted to evaluate the impact of maternal HBeAg serostatus and HBV DNA levels on PPH.</p>
</sec><sec><title>Systematic Review Registration</title>
<p>identifier CRD42023442626.</p>
</sec>
</abstract>
<kwd-group>
<kwd>adverse pregnancy outcome</kwd>
<kwd>HBsAg</kwd>
<kwd>Hepatitis B virus</kwd>
<kwd>postpartum hemorrhage</kwd>
<kwd>pregnancy</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was funded by the Sichuan Provincial Natural Science Foundation (2024NSFSC1668), the National Natural Science Foundation of China (72174132, 82225049), 1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University (ZYYC24010).</funding-statement></funding-group><counts>
<fig-count count="3"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="42"/><page-count count="11"/><word-count count="58484"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Maternal Health</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Hepatitis B virus (HBV) infection is a significant worldwide public health challenge. The global rate of seroprevalence of hepatitis B surface antigen (HBsAg) is estimated at 3.5&#x0025;, with approximately 296 million people living with chronic HBV infection as of 2019 (<xref ref-type="bibr" rid="B1">1</xref>). The burden of HBV infection varies widely in different parts of the world. The Western Pacific and African regions carry the highest burden, with 116 million and 81 million people infected, respectively. In contrast, the burden of HBV infection is lowest in the Americas, with only 5 million people infected (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Beyond the general population, maternal HBV infection is common worldwide and is one of the most common pregnancy comorbidities. For example, the rate of prevalence of maternal HBV infection in China has been reported to be 5.49&#x0025; (<xref ref-type="bibr" rid="B3">3</xref>). Several studies have shown that maternal HBV infection is associated with an increased risk of adverse obstetric and perinatal outcomes, including preterm birth (<xref ref-type="bibr" rid="B4">4</xref>), gestational diabetes mellitus (GDM) (<xref ref-type="bibr" rid="B5">5</xref>), and intrahepatic cholestasis of pregnancy (ICP) (<xref ref-type="bibr" rid="B6">6</xref>). However, uncertainty with regard to whether maternal HBV infection is associated with an increased risk of postpartum hemorrhage (PPH), which is one of the most common pregnancy-related complications (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), persists.</p>
<p>Postpartum hemorrhage (PPH) is the leading cause of maternal mortality worldwide, accounting for nearly 25&#x0025; of all pregnancy-related deaths (<xref ref-type="bibr" rid="B9">9</xref>). Several studies have investigated the potential association between maternal HBV infection and PPH, but their findings have been contradictory. For instance, a multicenter retrospective cohort study that included 22,374 participants reported that maternal HBV infection significantly increased the risk of PPH (<xref ref-type="bibr" rid="B10">10</xref>). However, several other studies reported no significant association between maternal HBV infection and PPH (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). To address this important clinical question, in this study, we conduct a systematic review and meta-analysis to explore whether maternal HBV infection is associated with an increased risk of PPH.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Methods</title>
<p>This study was registered with PROSPERO (CRD42023442626) and conducted in accordance with the meta-analysis of observational studies in epidemiology (MOOSE) guidelines (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<sec id="s2a"><label>2.1</label><title>Eligibility criteria</title>
<p>The systematic review question was formulated using the PECO framework, in which the components are defined as follows: P (Population: pregnant women), E (Exposure: maternal HBV infection), C (Comparison: pregnant women without HBV infection), and O (Outcome: PPH). Cohort studies and case&#x2013;control studies evaluating the association between maternal HBV infection and PPH were eligible for inclusion. We excluded studies in which all pregnant women were diagnosed with HBV infection combined with other diseases (e.g., COVID-19 or ICP) or had received antiviral therapy. Reviews, comments, case reports, letters, and editorials were excluded. When data from the same study were reported in multiple publications, the report with the largest sample size was included.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Literature search</title>
<p>We initially performed a search of eight databases from inception to 26 June 2023 with an update on 30 June 2024. These databases were five English sources (PubMed, Embase, Scopus, Cochrane Library, and Web of Science) and three Chinese databases (China National Knowledge Infrastructure, Wanfang databases, and Weipu databases). Searches in Chinese databases were limited to those journals included in the Peking University Core Periodical Catalog, which represents excellent Chinese journals (<xref ref-type="bibr" rid="B14">14</xref>). All searches were conducted without any language limitations. Both Medical Subject Headings (MeSH) and free-text terms&#x2014;such as &#x201C;Hepatitis B,&#x201D; &#x201C;HBV,&#x201D; &#x201C;Postpartum Hemorrhage,&#x201D; &#x201C;Pregnancy Outcome,&#x201D; &#x201C;Cohort Studies,&#x201D; and &#x201C;Case-Control Studies&#x201D;&#x2014;were used to develop the search strategy. The detailed search strategy is provided in <xref ref-type="sec" rid="s10">Supplementary Appendix S1</xref>.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Study process and data extraction</title>
<p>The retrieved studies were imported into the Endnote library. After removing duplicates, three researchers (JW, KZ, and MY) independently screened titles and abstracts and assessed full texts using the predefined criteria to select the final eligible studies. Any disagreements were resolved through discussion or, if necessary, mediation by a third party (YQ). Additional relevant studies were identified manually by searching the reference lists of the included studies.</p>
<p>Two researchers (JW and JG) independently extracted data from eligible studies using a standardized and predetermined form, which included the following information: study characteristics (e.g., first author, publication year, publication language, study location, study design, time of data collection, and sample size); included participant characteristics (e.g., maternal age); HBV infection characteristics (e.g., diagnostic criteria of HBV infection, the prevalence of HBV infection); PPH characteristics (e.g., diagnostic criteria of PPH, the incidence of PPH); exposed and unexposed characteristics (e.g., number of HBV infection pregnancies and total pregnancies in each group); and effect estimates (e.g., number of PPH cases in the exposed and control groups, adjusted data, and relevant confounders). Any disagreements were resolved through discussion.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Exposure and outcome definitions</title>
<p>In this study, maternal HBV infection was defined as HBsAg seropositivity during pregnancy, regardless of the hepatitis B e antigen (HBeAg) serostatus. In this study, PPH referred to primary PPH, defined as blood loss of more than 500&#x2005;mL after vaginal delivery or more than 1,000&#x2005;mL after cesarean delivery within 24&#x2005;h of delivery (<xref ref-type="bibr" rid="B15">15</xref>). Since there has been a slight change in the definition of PPH in recent years, pregnant women who meet the American College of Obstetricians and Gynecologists criteria are also considered to have PPH; according to that criteria, PPH is defined as a cumulative blood loss of 1,000&#x2005;mL or more or blood loss associated with signs or symptoms of hypovolemia within 24&#x2005;h of delivery, regardless of the mode of delivery (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s2e"><label>2.5</label><title>Quality assessment</title>
<p>Two researchers (JW and PZ) independently assessed the risk of bias using the Newcastle&#x2013;Ottawa scale (NOS), which consists of three parameters: (1) selection, (2) comparability, and (3) outcome (<xref ref-type="bibr" rid="B17">17</xref>). The NOS includes eight assessment items with a maximum score of 9, with comparability contributing up to 2 points. We categorized the studies as low, moderate, and high quality, with NOS scores of 1&#x2013;3, 4&#x2013;6, and 7&#x2013;9, respectively. Disagreements were resolved through consensus with a third reviewer (YQ).</p>
</sec>
<sec id="s2f"><label>2.6</label><title>Statistical analyses</title>
<p>We pooled the crude relative risk (cRR), adjusted odds ratio (aOR), and corresponding 95&#x0025; confidence intervals (CIs) between HBV infection and PPH using the random-effects model (DerSimonian&#x2013;Laird). The heterogeneity of effect sizes among included studies was assessed using the <italic>I</italic><sup>2</sup> statistic and Cochran&#x0027;s <italic>Q</italic> test (<xref ref-type="bibr" rid="B18">18</xref>), with <italic>I</italic><sup>2</sup>&#x2009;&#x003E;&#x2009;50&#x0025; indicating statistically significant heterogeneity between studies. We performed three subgroup analyses: (1) sample size (more than 1,000 vs. less than 1,000), (2) study region (Asia vs. non-Asia), and (3) prevalence of HBV infection (higher vs. lower). A study by Schweitzer et al., based on 1,800 HBsAg prevalence reports from 161 countries, defined a higher rate of prevalence of HBV infection as &#x003E;3.61&#x0025; (<xref ref-type="bibr" rid="B3">3</xref>). Furthermore, studies that did not explicitly report prevalence also referred to the data reported by Schweitzer et al. (<xref ref-type="bibr" rid="B3">3</xref>). We used the interaction test to estimate the differences between the subgroups (<xref ref-type="bibr" rid="B19">19</xref>). In addition, we performed seven sensitivity analyses: (1) omitting studies with NOS scores of less than 7; (2) omitting studies published in non-English languages; (3) omitting studies published as conference abstracts; (4) omitting studies with HBsAg serologic testing not performed during first trimester; (5) omitting studies including pregnancies that received antiviral therapy; (6) omitting studies without reported diagnostic criteria for PPH; and (7) performing a trim-and-fill analysis to evaluate the robustness of pooled effect estimates (<xref ref-type="bibr" rid="B20">20</xref>). Publication bias was assessed using funnel plots and Egger&#x0027;s tests (<xref ref-type="bibr" rid="B21">21</xref>). All statistical analyses were performed using Stata 18.0 (StataCorp LLC, College Station, TX, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<p>A total of 7,560 studies were retrieved in the initial search across multiple databases. After deduplication and title, abstract, and full-text screening, 21 retrospective cohort studies were finally included (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>). A flowchart of the selected literature is presented in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>.</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>A flowchart of literature search and selection of articles. CNKI, China National Knowledge Infrastructure; PPH, postpartum hemorrhage; ICP, intrahepatic cholestasis of pregnancy; HBV, hepatitis B virus.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-06-1596520-g001.tif"><alt-text content-type="machine-generated">Flowchart illustrating the study selection process. Identification includes records from databases (PubMed, Embase, Scopus, etc.), totaling 7,560, with 3,741 duplicates removed. An additional 25 records were identified through citation searching. Screening involved 3,819 records, with 3,739 excluded. Eligibility assessment included 77 reports, of which 59 were excluded for reasons such as no postpartum hemorrhage reported. A total of 25 reports from citation searching were assessed, with 22 excluded due to duplication or review articles. Finally, 21 studies were included in the review and meta-analysis.</alt-text>
</graphic>
</fig>
<sec id="s3a"><label>3.1</label><title>Study characteristics</title>
<p>The characteristics of the included studies are summarized in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. A total of 21 studies enrolling 379,782 participants, with 31,069 HBV-infected pregnant women, were included. Sample sizes ranged from 163 to 87,889, with 12 studies recruiting more than 1,000 pregnant women (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B37">37</xref>). These studies were conducted in China (<italic>n</italic>&#x2009;&#x003D;&#x2009;15) (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B36">36</xref>), Thailand (<italic>n</italic>&#x2009;&#x003D;&#x2009;2) (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>), Korea (<italic>n</italic>&#x2009;&#x003D;&#x2009;1) (<xref ref-type="bibr" rid="B37">37</xref>), Iran (<italic>n</italic>&#x2009;&#x003D;&#x2009;1) (<xref ref-type="bibr" rid="B33">33</xref>), Australia (<italic>n</italic>&#x2009;&#x003D;&#x2009;1) (<xref ref-type="bibr" rid="B29">29</xref>), and Romania (<italic>n</italic>&#x2009;&#x003D;&#x2009;1) (<xref ref-type="bibr" rid="B31">31</xref>). Seventeen studies were published in English (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B37">37</xref>), three in Chinese (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B36">36</xref>), and one in Thai (<xref ref-type="bibr" rid="B34">34</xref>). Three studies included pregnancies that received antiviral therapy. Of these, two studies specified the number: Lok et al. reported 44 individuals (0.5&#x0025; of the total HBV-infected pregnancies) and Tu et al. reported 69 individuals (17.4&#x0025;) (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B27">27</xref>). However, Chen et al. did not specify the number of individuals who received antiviral therapy (<xref ref-type="bibr" rid="B24">24</xref>). Among the included studies, 14 did not specify the diagnostic criteria for PPH (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>). Of the remaining seven, five provided detailed definitions (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B27">27</xref>), while two defined the outcome based on ICD criteria (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B26">26</xref>).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Characteristics of included studies.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Study region</th>
<th valign="top" align="center">Study design</th>
<th valign="top" align="center">Publication language</th>
<th valign="top" align="center">No. of center</th>
<th valign="top" align="center">Period of data collection</th>
<th valign="top" align="center">No. of participants</th>
<th valign="top" align="center">Exposure group</th>
<th valign="top" align="center">Prevalence of HBV positivity</th>
<th valign="top" align="center">Diagnostic criteria of PPH</th>
<th valign="top" align="center">Multivariable analysis</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Tu (<xref ref-type="bibr" rid="B22">22</xref>)<xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2015&#x2013;2022</td>
<td valign="top" align="center">794</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">Not reported</td>
<td valign="top" align="left">Vaginal delivery &#x2265;500&#x2005;mL and cesarean section &#x2265;1,000&#x2005;mL</td>
<td valign="top" align="left">Multivariate<xref ref-type="table-fn" rid="TF3"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Mao (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">October 2016 to October 2020</td>
<td valign="top" align="center">994</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">Not reported</td>
<td valign="top" align="left">Blood loss of &#x2265;500&#x2005;mL for vaginal delivery and &#x2265;1,000&#x2005;mL for cesarean section</td>
<td valign="top" align="left">Multivariate<xref ref-type="table-fn" rid="TF4"><sup>d</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Chen (<xref ref-type="bibr" rid="B24">24</xref>)<xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">January 2011 to December 2021</td>
<td valign="top" align="center">315</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">Not reported</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">Matching<xref ref-type="table-fn" rid="TF5"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Huang (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">October 2018 to June 2020</td>
<td valign="top" align="center">3,808</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">7.30&#x0025;</td>
<td valign="top" align="left">Loss of blood equal to or greater than 500&#x2005;mL within 24&#x2005;h after delivery</td>
<td valign="top" align="left">No</td>
</tr>
<tr>
<td valign="top" align="left">Weng (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">January 2018 to June 2022</td>
<td valign="top" align="center">25,114</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">8.34&#x0025;</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">No</td>
</tr>
<tr>
<td valign="top" align="left">Chen (<xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">January 2015 to March 2020</td>
<td valign="top" align="center">19,428</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">3.78&#x0025;</td>
<td valign="top" align="left">Blood loss of &#x2265;500&#x2005;mL for vaginal delivery, &#x2265;1,000&#x2005;mL for cesarean section</td>
<td valign="top" align="left">No</td>
</tr>
<tr>
<td valign="top" align="left">Yin (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">January 2009 to December 2019</td>
<td valign="top" align="center">39,539</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">7.70&#x0025;</td>
<td valign="top" align="left">ICD-9</td>
<td valign="top" align="left">No</td>
</tr>
<tr>
<td valign="top" align="left">Sun (<xref ref-type="bibr" rid="B8">8</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">January 2005 to December 2017</td>
<td valign="top" align="center">49,479</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">3.30&#x0025;</td>
<td valign="top" align="left">ICD-10</td>
<td valign="top" align="left">No</td>
</tr>
<tr>
<td valign="top" align="left">Lok (<xref ref-type="bibr" rid="B27">27</xref>)<xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
<td valign="top" align="left">Hong Kong</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2000&#x2013;2019</td>
<td valign="top" align="center">87,889</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">9.56&#x0025;</td>
<td valign="top" align="left">Blood loss of &#x2265;500&#x2005;mL for vaginal delivery and &#x2265;1,000&#x2005;mL for cesarean section</td>
<td valign="top" align="left">No</td>
</tr>
<tr>
<td valign="top" align="left">Zhang (<xref ref-type="bibr" rid="B7">7</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">July 2009 to December 2018</td>
<td valign="top" align="center">82,775</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">11.39&#x0025;</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">No</td>
</tr>
<tr>
<td valign="top" align="left">Li (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">Chinese</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">February 2010 to December 2011</td>
<td valign="top" align="center">6,347</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">4.36&#x0025;</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">Multivariate<xref ref-type="table-fn" rid="TF6"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Tan (<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">January 2009 to December 2010</td>
<td valign="top" align="center">22,374</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">4.20&#x0025;</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">Multivariate<xref ref-type="table-fn" rid="TF7"><sup>g</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Cheng (<xref ref-type="bibr" rid="B29">29</xref>)<xref ref-type="table-fn" rid="TF2"><sup>b</sup></xref></td>
<td valign="top" align="left">Australia</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">January 2008 to December 2012</td>
<td valign="top" align="center">23,430</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">1.28&#x0025;</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">Multivariate<xref ref-type="table-fn" rid="TF8"><sup>h</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Mak (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Hong Kong</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">October 2010 to December 2011</td>
<td valign="top" align="center">9,526</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">7.85&#x0025;</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">No</td>
</tr>
<tr>
<td valign="top" align="left">Moga (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">Romania</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">January 2011 to December 2012</td>
<td valign="top" align="center">163</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">Not reported</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">Matching<xref ref-type="table-fn" rid="TF9"><sup>i</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Lu (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">Chinese</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">May 2009 to July 2011</td>
<td valign="top" align="center">453</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">Not reported</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">No</td>
</tr>
<tr>
<td valign="top" align="left">Saleh-Gargari (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">Iran</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">March 2001 to December 2008</td>
<td valign="top" align="center">900</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">Not reported</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">Matching<xref ref-type="table-fn" rid="TF10"><sup>j</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Thungsuk (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">Thai</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">January 2005 to December 2007</td>
<td valign="top" align="center">324</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">1.30&#x0025;</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">Matching<xref ref-type="table-fn" rid="TF11"><sup>k</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Lert-amornpong (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">January 2003 to December 2005</td>
<td valign="top" align="center">326</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">1.93&#x0025;</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">Matching<xref ref-type="table-fn" rid="TF12"><sup>l</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Xue (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">Chinese</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">January 1999 to December 2002</td>
<td valign="top" align="center">520</td>
<td valign="top" align="left">HBsAg&#x2009;&#x002B;&#x2009;or HBeAg&#x002B;</td>
<td valign="top" align="center">Not reported</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">Matching<xref ref-type="table-fn" rid="TF13"><sup>m</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Ryoo (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">Korea</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">English</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">April 1985 to June 1987</td>
<td valign="top" align="center">5,284</td>
<td valign="top" align="left">HBsAg&#x002B;</td>
<td valign="top" align="center">8.48&#x0025;</td>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="left">No</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><label>a</label>
<p>Part of pregnancies that received antiviral therapy.</p></fn>
<fn id="TF2"><label>b</label>
<p>Conference abstract.</p></fn>
<fn id="TF3"><label>c</label>
<p>Maternal age, educational level, insulin therapy during pregnancy, antiviral therapy during pregnancy, family history of diabetes, gestation at delivery, gravidity, parity, gestational weight gain, prepregnancy BMI, fasting plasma glucose during OGTT, 1-h plasma glucose during OGTT, and 2-h plasma glucose during OGTT.</p></fn>
<fn id="TF4"><label>d</label>
<p>Maternal age, parity, abortion history, PTB history, CS history, high viral load, antiviral therapy, and abnormal liver function.</p></fn>
<fn id="TF5"><label>e</label>
<p>Maternal age.</p></fn>
<fn id="TF6"><label>f</label>
<p>Maternal age, parity, educational level, and job status.</p></fn>
<fn id="TF7"><label>g</label>
<p>Sociodemographic variables, gestational characteristics, medical interventions, and gestational comorbidities.</p></fn>
<fn id="TF8"><label>h</label>
<p>Maternal age, parity, socioeconomic, smoking, and alcohol intake status, and significant medical conditions.</p></fn>
<fn id="TF9"><label>i</label>
<p>Maternal age, parity, year of delivery, and antenatal surveillance.</p></fn>
<fn id="TF10"><label>j</label>
<p>Maternal age, parity, and body mass index.</p></fn>
<fn id="TF11"><label>k</label>
<p>Maternal age, parity, and year of delivery.</p></fn>
<fn id="TF12"><label>l</label>
<p>Maternal age, and year of delivery.</p></fn>
<fn id="TF13"><label>m</label>
<p>Maternal age, parity, year of delivery, and gestational weeks.</p></fn>
<fn id="TF14"><p>HBV, hepatitis B virus; PPH, postpartum hemorrhage; HBsAg, hepatitis B surface antigen; HBeAg, hepatitis B e antigen.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Of these 21 studies, 14 reported the prevalence of HBV infection. Among them, 10 reported a prevalence rate higher than 3.61&#x0025; (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B37">37</xref>), while four reported a prevalence rate lower than 3.61&#x0025; (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Eleven studies adjusted for the effect of confounders when examining the association between HBV infection and PPH. Five studies were assessed using a multivariate analysis (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>) and the remaining six using matching (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>). All 21 studies scored in the 5&#x2013;8 range, with 12 studies scoring 7 and above, indicating a relatively low risk of bias (<xref ref-type="sec" rid="s10">Supplementary Table S1</xref>).</p>
</sec>
<sec id="s3b"><label>3.2</label><title>Association between maternal HBV infection and postpartum hemorrhage</title>
<p>Twenty-one studies evaluated the association between maternal HBV infection and PPH, of which 11 provided adjusted results (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>). The pooled results of the unadjusted data showed that maternal HBV infection was associated with an increased risk of PPH (1,426/31,069 vs. 22,556/348,713, cRR&#x2009;&#x003D;&#x2009;1.18, 95&#x0025; CI: 1.06&#x2013;1.31, <italic>I<sup>2</sup></italic>&#x2009;&#x003D;&#x2009;56.1&#x0025;) (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). Furthermore, the pooled results of the adjusted data indicated a similar risk of PPH (295/3,813 vs. 8,058/52,674, aOR&#x2009;&#x003D;&#x2009;1.50, 95&#x0025; CI:1.29&#x2013;1.73, <italic>I<sup>2</sup></italic>&#x2009;&#x003D;&#x2009;0.0&#x0025;) (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>).</p>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>Unadjusted RR for risk of PPH in pregnant women with HBV infection. cRR, crude relative risk.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-06-1596520-g002.tif"><alt-text content-type="machine-generated">Forest plot showing confidence intervals (CI) and weights for various studies by authors from 1987 to 2024, on a combined analysis. The central column shows the confidence risk ratios (cRR) with corresponding 95% CI, while the adjacent column indicates the weight percentage. A diamond at the bottom represents the overall effect size, with a statistical significance shown by p &#x003C; 0.001. Note mentions applying a continuity correction to studies with zero cells.</alt-text>
</graphic>
</fig>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>Adjusted OR for risk of PPH in pregnant women with HBV infection. aOR, adjusted odds ratio.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-06-1596520-g003.tif"><alt-text content-type="machine-generated">Forest plot showing adjusted odds ratios (aOR) with 95% confidence intervals for different studies. Each line represents a study, with the diamond shapes indicating point estimates and the horizontal lines showing the range of confidence intervals. Weights of studies vary, with Cheng (2014) having the highest weight at 40.16% and Thungsuk (2008) the lowest at 0.21%. The overall aOR is 1.50 with a confidence interval of 1.29 to 1.73, indicating the combined effect size from a random-effects model. Vertical dashed line marks the null hypothesis reference value of one.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3c"><label>3.3</label><title>Subgroup and sensitivity analyses</title>
<p>According to the prespecified subgroup analyses, the majority of results indicated that maternal HBV infection was associated with an increased risk of PPH, which was consistent with the overall pooled results (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). No statistically significant differences were found between sample size, study region, and prevalence of HBV infection in subgroup analyses in both unadjusted and adjusted pooled analyses (all <italic>P</italic>-values for interaction were greater than 0.05, <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Results of subgroup analysis.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">PPH</th>
<th valign="top" align="center" colspan="4">Unadjusted effect value (<italic>n</italic>&#x2009;&#x003D;&#x2009;21)</th>
<th valign="top" align="center" colspan="4">Adjusted effect values (<italic>n</italic>&#x2009;&#x003D;&#x2009;8)</th>
</tr>
<tr>
<th valign="top" align="center">No. of studies</th>
<th valign="top" align="center">cRR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>I</italic><sup>2</sup> (&#x0025;)</th>
<th valign="top" align="center">P for interaction</th>
<th valign="top" align="center">No. of studies</th>
<th valign="top" align="center">aOR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>I</italic><sup>2</sup> (&#x0025;)</th>
<th valign="top" align="center"><italic>P</italic> for interaction</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="9">Sample size</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x003C;1,000</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1.54 (1.12, 2.11)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">1.67 (1.16, 2.40)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;1,000</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">1.15 (1.02, 1.29)</td>
<td valign="top" align="center">70.50</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.46 (1.24, 1.72)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="9">Study region</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Asia</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">1.16 (1.04, 1.30)</td>
<td valign="top" align="center">53.71</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1.50 (1.24, 1.82)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.98</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-Asia</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.32 (1.14, 1.52)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.49 (1.18, 1.88)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="9">Prevalence of HBV infection<xref ref-type="table-fn" rid="TF15"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Lower (&#x003C;3.61&#x0025;)</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.16 (0.97, 1.39)</td>
<td valign="top" align="center">34.70</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.47 (1.17, 1.85)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.86</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Higher (&#x2265;3.61&#x0025;)</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">1.20 (1.05, 1.37)</td>
<td valign="top" align="center">60.68</td>
<td valign="top" align="center"/>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.51 (1.24, 1.84)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF15"><label>a</label>
<p>Studies by Moga, Lu, Saleh-Gargari, and Xue, which did not explicitly report the prevalence, refer to the data reported by Schweitzer et al.</p></fn>
<fn id="TF16"><p>PPH, postpartum hemorrhage; cRR, crude relative risk; aOR, adjusted odds ratio; HBV, hepatitis B virus.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Sensitivity analyses results were mainly consistent with the primary results. After excluding studies with NOS scores less than 7, it was found that the pooled cRR was 1.16 (95&#x0025; CI: 1.03&#x2013;1.31) and the aOR was 1.48 (95&#x0025; CI: 1.21&#x2013;1.83) (<xref ref-type="sec" rid="s10">Supplementary Table S2</xref>). After excluding studies published in non-English language, it was found that the pooled cRR was 1.16 (95&#x0025; CI: 1.03&#x2013;1.31) and the aOR was 1.49 (95&#x0025; CI: 1.27&#x2013;1.75). Upon excluding studies published as conference abstracts, it was found that the pooled cRR was 1.16 (95&#x0025; CI: 1.04&#x2013;1.30) and the aOR was1.49 (95&#x0025; CI: 1.23&#x2013;1.81). In addition, when only studies with HBsAg seropositivity during the first trimester were included, the pooled cRR was 1.10 (95&#x0025; CI: 0.98&#x2013;1.23) and the aOR was 1.40 (95&#x0025; CI: 1.13&#x2013;1.75). When only studies without antiviral therapy were included, the pooled cRR was 1.20 (95&#x0025; CI: 1.06&#x2013;1.36) and the aOR was 1.48 (95&#x0025; CI: 1.27&#x2013;1.72). Among the studies that specified the diagnostic criteria of PPH, the pooled cRR was 0.99 (95&#x0025; CI: 0.89&#x2013;1.11) and the aOR was 1.90 (95&#x0025; CI: 0.94&#x2013;3.86). In addition, trim-and-fill analyses showed that the pooled cRR was 1.16 (95&#x0025; CI: 1.04&#x2013;1.29) and the aOR was 1.50 (1.29&#x2013;1.74) (<xref ref-type="sec" rid="s10">Supplementary Table S2</xref>).</p>
</sec>
<sec id="s3d"><label>3.4</label><title>Publication bias</title>
<p>All funnel plots appeared symmetric, and Egger&#x0027;s test did not reveal significant publication bias either in the overall unadjusted pooled analyses (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.12) or adjusted pooled analyses (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.99) (<xref ref-type="sec" rid="s10">Supplementary Figures S1</xref> and <xref ref-type="sec" rid="s10">S2</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>This study conducted a comprehensive systematic review and meta-analysis to investigate the association between maternal HBV infection and PPH. Our analysis indicated that maternal HBV infection was associated with an increased risk of PPH (pooled cRR&#x2009;&#x003D;&#x2009;1.18 and pooled aOR&#x2009;&#x003D;&#x2009;1.50). The results of several categories of sensitivity analyses were consistent with the primary results, indicating the robustness of the findings of this study.</p>
<p>Although this study investigated the association between maternal HBsAg&#x002B;&#x2009;and PPH, the impact of maternal HBeAg&#x002B; or HBV DNA levels on PPH remains largely unexplored. In general, HBeAg seropositivity or a high HBV DNA viral load, indicative of active HBV replication, may exert more severe effects on pregnancy outcomes than HBsAg seropositivity alone (<xref ref-type="bibr" rid="B38">38</xref>). For example, previous studies have reported more severe effects of HBeAg seropositivity or a high HBV DNA viral load on early preterm birth, neonatal asphyxia, GDM, and ICP (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). For PPH, a study that included 201 HBV-infected pregnant women reported that the incidence of PPH in the maternal HBsAg&#x002B;HBeAg&#x002B; group was higher than that in the maternal HBsAg&#x002B;HBeAg- group (5.3&#x0025; vs. 3.2&#x0025;) (<xref ref-type="bibr" rid="B41">41</xref>). Similarly, the incidence of PPH was higher in women with HBV-DNA &#x2265;34.2 copies&#x00B7;mL<sup>&#x2212;1</sup> than in women with HBV-DNA &#x003C;34.2&#x2005;copies&#x2005;mL<sup>&#x2212;1</sup> (6.0&#x0025; vs. 3.0&#x0025;) (<xref ref-type="bibr" rid="B41">41</xref>). However, another study of 260 pregnant women did not demonstrate a stronger effect for PPH in the HBsAg&#x002B;HBeAg&#x002B; group (RR&#x2009;&#x003D;&#x2009;1.49) compared with that in the HBsAg&#x002B;HBeAg- group (RR&#x2009;&#x003D;&#x2009;1.65) (<xref ref-type="bibr" rid="B36">36</xref>). Therefore, further studies are warranted to evaluate the impact of HBeAg serostatus and HBV DNA levels on PPH.</p>
<p>Although our study indicated that maternal HBV infection was a risk factor for PPH, the underlying mechanisms remain unclear. One potential pathway is that maternal HBV infection impairs liver function and modifies coagulation factors, resulting in impaired coagulation function in pregnant women during delivery, thereby increasing the risk of hemorrhage. For example, Dong et al. conducted a comparison of coagulation function between 398 HBV-infected and 400 HBV-non-infected pregnant women (<xref ref-type="bibr" rid="B42">42</xref>), which indicated that prothrombin time, activated partial thromboplastin time, thrombin time, and fibrinogen were significantly higher in HBV-infected pregnant women. In addition, HBV DNA levels were significantly correlated with activated partial thromboplastin time (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.74, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05) (<xref ref-type="bibr" rid="B42">42</xref>). Considering the high prevalence of HBV infection among pregnant women, particularly in regions such as China, and the severity of PPH as an adverse pregnancy outcome, further research is imperative to elucidate the underlying mechanisms, which could significantly contribute to more effective prevention and reduction of PPH incidence.</p>
<p>This study clarifies the association between maternal HBV infection and PPH, offering multidisciplinary implications for clinical practice and public health. First, our findings provide the latest evidence to better understand the impact of HBV infection in specific populations, rather than just the general population. Second, our findings will encourage public health practitioners to advocate for and implement HBV vaccination and screening programs in women of childbearing age, thereby improving prenatal care services, particularly in regions with high HBV infection prevalence. Finally, further research and proactive public health measures are essential to improve the care of HBV-infected pregnant women and to elevate maternal and fetal health outcomes.</p>
<p>Our study has several strengths. First, based on currently available observational studies, this study is one of the few systematic reviews and meta-analyses to comprehensively evaluate the association between maternal HBV infection and PPH, providing clinically meaningful findings for clinical practice. Second, our search strategy included both Chinese and English databases. Given that China bears the highest burden of HBV infection in the world, the inclusion of Chinese databases significantly enhanced the comprehensiveness of our literature review. Third, we performed multiple subgroup analyses to investigate heterogeneity sources and conducted sensitivity analyses to examine the robustness of effect estimates.</p>
<p>This study also has a few limitations. First, in this study, some of the pooled results demonstrated heterogeneity, which could have been caused by differences in the inclusion criteria of the populations, basic characteristics of the populations, and definition of HBV infection or PPH across studies. Although we used random effects, the impact of heterogeneity on the pooled unadjusted results was not wholly eliminated. Second, among the included studies, only eight reported adjusted results, with several using matching methods for adjustment. The number of participants contributing adjusted results remained relatively limited. However, based on the available adjusted data, this study still indicated that maternal HBV infection increased the risk of PPH. Third, most studies did not record the diagnostic criteria for PPH, which would lead to diagnostic inconsistencies and thus reduce the precision of our results. Finally, the original studies included in this systematic review did not report detailed clinical information such as maternal liver disease severity, HBeAg serostatus, HBV DNA levels, and the presence of cirrhosis. Consequently, we were unable to perform analyses to determine the effects of this clinical information on PPH. Future research incorporating these clinical parameters is needed to strengthen the evidence.</p>
<p>This systematic review and meta-analysis evaluated the association between maternal HBV infection and PPH and found that maternal HBV infection might be associated with an increased risk of PPH. These findings contribute to improved prevention and management of PPH in clinical practice. Further studies are warranted to evaluate the impact of maternal HBeAg serostatus and HBV DNA levels on PPH.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s10">Supplementary Material;</xref> further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="author-contributions"><title>Author contributions</title>
<p>JC and KD: Formal analysis, Writing &#x2013; original draft. PZ, JG, CL, and KZ: Methodology, Data curation, Writing &#x2013; original draft. ML: Data curation, Methodology, Writing &#x2013; original draft. QC: Writing &#x2013; original draft, Methodology, Data curation. YX: Conceptualization, Writing &#x2013; review &#x0026; editing. JT: Writing &#x2013; review &#x0026; editing, Conceptualization.</p>
</sec>
<sec id="s8" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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 id="s11" sec-type="disclaimer"><title>Publisher&#x0027;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 id="s10" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fgwh.2025.1596520/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgwh.2025.1596520/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1739664/overview">Muhabaw Shumye Mihret</ext-link>, University of Gondar, Ethiopia</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/697697/overview">Yun Ma</ext-link>, King&#x2019;s College London, United Kingdom</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2098622/overview">Emeka Philip Igbodike</ext-link>, Nnamdi Azikiwe University Teaching Hospital, Nigeria</p></fn>
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<fn-group>
<fn fn-type="abbr" id="abbrev1"><p><bold>Abbreviations</bold> HBV, hepatitis B virus; PPH, postpartum hemorrhage; NOS, Newcastle&#x2013;Ottawa scale; cRR, crude relative risk; aOR, adjusted odds ratio; HBsAg, hepatitis B surface antigen; CI, confidence interval; GDM, gestational diabetes mellitus; ICP, intrahepatic cholestasis of pregnancy; MOOSE, meta-analysis of observational studies in epidemiology; MeSH, both medical subject headings; HBeAg, hepatitis B e antigen.</p></fn>
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