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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2025.1627377</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Decreased plasma APOA1 levels are associated with increased severity of placenta accreta spectrum disorders: a nested case-control study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zeng</surname>
<given-names>Shuai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Qu</surname>
<given-names>Jiangxue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Hai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Huifeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Yan</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhao</surname>
<given-names>Yangyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Lian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Obstetrics and Gynecology, Peking University Third Hospital</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>National Center for Healthcare Quality Management in Obstetrics, Peking University Third Hospital</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>State Key Laboratory of Female Fertility Promotion, Department of Obstetrics and Gynecology Peking University Third Hospital</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Giovanni Tossetta, Marche Polytechnic University, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jingrui Huang, Central South University, China</p>
<p>Anh Dinh Bao Vuong, Tu Du Hospital, Vietnam</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Lian Chen, <email xlink:href="mailto:bysychenlian@126.com">bysychenlian@126.com</email>; Yangyu Zhao, <email xlink:href="mailto:zhaoyangyu@bjmu.edu.cn">zhaoyangyu@bjmu.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1627377</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zeng, Qu, Jiang, Shi, Yan, Zhao and Chen</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zeng, Qu, Jiang, Shi, Yan, Zhao and Chen</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Placenta accreta spectrum (PAS) disorders are a series of gestational diseases, with severe adverse outcomes. Apolipoprotein A1 (APOA1) is a lipid molecule that plays a role in cell invasion, inflammation and immune response. This study aimed to elucidate the relationship between APOA1 and PAS, as well as its adverse outcomes.</p>
</sec>
<sec>
<title>Methods</title>
<p>This is a nested case-control study involving 118 patients with PAS and 118 non-PAS control women. Plasma APOA1 levels were evaluated at gestational weeks 24<sup>+0</sup> to 35<sup>+6</sup> by enzyme-linked immunosorbent assay. The clinical characteristics and pregnancy outcomes were recorded and analyzed in relation to APOA1 levels.</p>
</sec>
<sec>
<title>Results</title>
<p>The plasma APOA1 level in the PAS group was observed to be lower than that in the non-PAS group (<italic>p</italic> = 0.035). From 24<sup>+0</sup> to 35<sup>+6</sup> weeks of gestation, the trajectory of plasma APOA1 levels in the placenta percreta (PP) and placenta increta group exhibited a discernible decline. Maternal plasma APOA1 is a significant biomarker for the diagnosis of PAS and its adverse outcomes, particularly in the 32<sup>+0</sup> to 35<sup>+6</sup> weeks of gestation range for invasive PAS (AUC&#xa0;= 0.761, 95% CI 0.660-0.863, <italic>p</italic>&#xa0;&lt;&#xa0;0.001), PP (AUC = 0.889, 95% CI 0.801-0.976, <italic>p</italic>&#xa0;&lt; 0.001), blood transfusion (AUC = 0.729, 95% CI 0.620-0.838, <italic>p</italic> &lt; 0.001) and hysterectomy (AUC = 0.884, 95% CI 0.790-0.978, <italic>p</italic> &lt; 0.001).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>A reduction in maternal plasma APOA1 levels was associated with the severity of PAS. APOA1 may serve as a biomarker for invasive PAS, blood transfusion and hysterectomy in late gestation.</p>
</sec>
</abstract>
<kwd-group>
<kwd>apolipoprotein A1</kwd>
<kwd>plasma biomarker</kwd>
<kwd>blood transfusion</kwd>
<kwd>hysterectomy</kwd>
<kwd>invasive placenta accreta spectrum</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="30"/>
<page-count count="12"/>
<word-count count="5333"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Reproduction</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Placenta accreta spectrum (PAS) disorders are severe complications during pregnancy, characterized by an anomalous attachment of placenta villi to the uterine wall (<xref ref-type="bibr" rid="B1">1</xref>). In accordance with the classification system of the International Federation of Gynecology and Obstetrics (FIGO) (<xref ref-type="bibr" rid="B2">2</xref>), PAS can be subdivided into three categories: placenta accreta (PA), placenta increta (PI) and placenta percreta (PP). The prevalence of PAS has increased significantly over the past few decades, with an incidence of approximately 0.17% in 2019 (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). The risk of accreta with placenta previa in women with a history of cesarean section (CS) is estimated to be 11% (<xref ref-type="bibr" rid="B5">5</xref>). Blood transfusion and even hysterectomy are typically inevitable in PAS patients, with an incidence of 46.9% and 52.2%, respectively (<xref ref-type="bibr" rid="B3">3</xref>). As the CS rate has increased globally (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>), the risk of PAS in women who have undergone a CS is high in the event of a subsequent pregnancy. It is important to recognize the potential risk associated with PAS and its adverse outcomes.</p>
<p>Ultrasound is a widely utilized diagnostic tool for distinguishing PAS during pregnancy. However, the reported prediction accuracies vary considerably among studies (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Our group has published an ultrasound scoring system for PAS in 2018 (<xref ref-type="bibr" rid="B11">11</xref>), which has been extensively promoted in China. It is highly effective in predicting the presence of PAS; however, it is not so accurate to differentiate between PI and PP. Non-invasive biomarkers represent an alternative avenue for predicting PAS severity. Despite extensive research into potential proteins and small molecules (<xref ref-type="bibr" rid="B12">12</xref>), the predictive value of these biomarkers remains unsatisfactory and the sample size was relatively small. Furthermore, few studies have elucidated the correlation between biomarkers and adverse pregnancy outcomes of PAS.</p>
<p>Alterations in maternal plasma biomarkers reflect underlying pathological changes in placental biological function. While the precise pathogenesis of PAS remains incompletely understood, current evidence implicates two key mechanisms: defective decidualization and excessive trophoblast invasion (<xref ref-type="bibr" rid="B13">13</xref>). Apolipoprotein A1 (APOA1), the principal apolipoprotein of high-density lipoprotein (HDL), has been predominantly studied in gestational diabetes mellitus due to its canonical role in lipid metabolism (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). However, emerging research has uncovered its involvement in other gestational disorders. A 2023 study demonstrated elevated peripheral APOA1 levels in preeclampsia patients and further established through <italic>in vitro</italic> experiments that APOA1 significantly inhibits trophoblast proliferation and invasive capacity (<xref ref-type="bibr" rid="B16">16</xref>). This finding suggests APOA1 may serve as a critical regulator of placental development. Interestingly, PAS and preeclampsia appear to represent opposite ends of the placentation: while PAS is characterized by excessive trophoblast invasion, preeclampsia features inadequate placental invasion (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). This pathophysiological dichotomy led us to hypothesize that APOA1 levels might be differentially altered in PAS pregnancies. Furthermore, the tumor-like behavior of PAS trophoblasts - exhibiting both hyperinvasive properties and malignant proliferation patterns - provides additional rationale for investigating APOA1&#x2019;s role (<xref ref-type="bibr" rid="B13">13</xref>). In oncology, APOA1 has been shown to regulate tumor proliferation, modulate the immune microenvironment and correlate with the prognosis (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>), suggesting potential parallel functions in placental pathophysiology. Based on these observations, we postulated that: APOA1 levels would vary significantly across PAS severity subtypes and correlate with clinical outcomes. Accordingly, the present study was undertaken to ascertain whether there is a correlation between plasma APOA1 levels and the likelihood of developing PAS, as well as the adverse outcomes.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study design and data collection</title>
<p>A nested case-control study was conducted between 2019 and 2022 based on two cohorts: the Ultrasound Based PAS Screening (UBPAS) cohort and the University Hospital Advanced Age Pregnant (UNIHOPE) cohort in Peking University Third Hospital. As demonstrated in our previous study (<xref ref-type="bibr" rid="B11">11</xref>), the presence of PAS ultrasound scores of more than five has been shown to be associated with a high risk of invasive PAS and hysterectomy. Consequently, pregnant women who had a score of more than five would be recruited into the UBPAS cohort. All participants provided written informed consent. This study was conducted in accordance with the Declaration of Helsinki and received approval from the Peking University Third Hospital Medical Science Research Ethics Committee (IRB00006761-M2020262). PAS was diagnosed according to the 2019 FIGO classification system (<xref ref-type="bibr" rid="B2">2</xref>). After matching maternal age, pre-delivery body mass index (BMI) and gestational age at sample collection, controls were selected with the same sample size among pregnant women without PAS using the propensity score matching (PSM) method from the UNIHOPE cohort (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of cases and samples selection. PAS, placenta accreta spectrum; PSM, propensity score matching; BMI, body mass index; PA, placenta accreta; PI, placenta increta; PP, placenta percreta.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1627377-g001.tif">
<alt-text content-type="machine-generated">Flowchart detailing cohorts and sample selection. UB-PAS cohort starts with 178 subjects, divided into PAS (161) and Non-PAS (17). UNIHOPE cohort starts with 1831, split into PAS (6) and Non-PAS (1825). Exclusions made for missing plasma samples between 24+0 and 35+6 weeks gestation. Resulting in PAS (128) and Non-PAS (1305). After 1:1 PSM, PAS (118) splits into PA (60), PI (30), and PP (28), compared with Non-PAS (118), matching maternal age, pre-delivery BMI, and gestational age.</alt-text>
</graphic>
</fig>
<p>The clinical characteristics of the participants, including the maternal age, gravidity (except the current pregnancy), parity (except the current pregnancy), history of CS, history of curettage, pre-pregnant BMI, pre-delivery BMI, the presence of placenta previa, hypertension disorders of pregnancy, gestational diabetes mellitus, thyroid disease, gestational age at sample collection, gestational age at delivery, blood loss volume during vaginal delivery or CS, blood transfusion, hysterectomy, neonatal weight, and neonatal intensive care unit (NICU) admission were recorded. All surgeries were performed by our center&#x2019;s experienced PAS team. The choice between uterine preservation and hysterectomy (placenta <italic>in situ</italic>) depended on preoperative imaging evaluation and intraoperative findings. Our &#x201c;Nine-Step Uterine-Preservation Protocol&#x201d; included: (1) uterine incision selection, (2) fetal delivery, (3) hemostasis (intrauterine tamponade or temporary uterine artery occlusion with tourniquet), (4) bladder dissection, (5) placental removal (dual-incision if needed), (6) uterine artery descending branch suture ligation, (7) cervical traction sutures, (8) closure of all uterine incisions, and (9) bladder integrity check (methylene blue). Hysterectomy was performed for severe PP, significant hemorrhage, unstable vital signs, or other life-threatening complications.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>APOA1 quantification and statistical analysis</title>
<p>Peripheral blood samples were collected from participants between 24<sup>+0</sup> and 35<sup>+6</sup> weeks of gestation, following a minimum of eight hours of fasting. The samples were immediately placed on ice and then centrifuged at a force of 3000 rpm for 10 minutes at 4&#xb0;C within two hours. The plasma was preserved at a temperature of -80&#xb0;C. Plasma APOA1 levels were determined using enzyme linked immunosorbent assay (abx50705, Abbexa, the UK).</p>
<p>Student&#x2019;s <italic>t</italic>-test, one-way ANOVA, Wilcoxon rank-sum test or Chi-square (&#x3c7;<sup>2</sup>) tests were employed to conduct comparisons according to the type of variables being analyzed. A simple linear regression model illustrated the trajectory of APOA1 levels. To assess the relationship between APOA1 and PAS and associated outcomes, logistic and linear regression were employed. The area under receiver-operating-characteristics (ROC) curve (AUC) was utilized to demonstrate the sensitivity and specificity of APOA1 in predicting the occurrence of PAS and adverse outcomes. The statistical analyses and graphical representations were conducted using the following software: SPSS 21.0 (SPSS, Chicago, IL), R version 4.0.2 (R Core Team, Vienna, Austria) and GraphPad Prism 10.1.1 (GraphPad Software Inc., La Jolla, CA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Clinical characteristics of PAS patients and non-PAS women</title>
<p>A total of 118 patients with PAS (including 60 with PA, 30 with PI and 28 with PP) and 118 non-PAS women (control group) were included in the study. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> presents the clinical characteristics of the two groups.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical characteristics of the control and PAS groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Clinical characteristics</th>
<th valign="middle" rowspan="2" align="center">Control (n = 118)</th>
<th valign="middle" colspan="4" align="center">PAS</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>
<sup>*</sup>
</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>
<sup>**</sup>
</th>
</tr>
<tr>
<th valign="middle" align="center">Total (n = 118)</th>
<th valign="middle" align="center">Accreta (n = 60)</th>
<th valign="middle" align="center">Increta (n = 30)</th>
<th valign="middle" align="center">Percreta (n = 28)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="center">36.03 &#xb1; 3.32</td>
<td valign="middle" align="center">35.58 &#xb1; 4.27</td>
<td valign="middle" align="center">35.12 &#xb1; 4.63</td>
<td valign="middle" align="center">36.30 &#xb1; 4.25</td>
<td valign="middle" align="center">35.79 &#xb1; 3.42</td>
<td valign="middle" align="center">0.368</td>
<td valign="middle" align="center">0.419</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Gravidity, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;0</td>
<td valign="middle" align="center">25 (21.2)</td>
<td valign="middle" align="center">12 (10.2)</td>
<td valign="middle" align="center">9 (15.0)</td>
<td valign="middle" align="center">3 (10.0)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1</td>
<td valign="middle" align="center">40 (33.9)</td>
<td valign="middle" align="center">24 (20.3)</td>
<td valign="middle" align="center">14 (23.3)</td>
<td valign="middle" align="center">8 (26.7)</td>
<td valign="middle" align="center">2 (7.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;2</td>
<td valign="middle" align="center">53 (44.9)</td>
<td valign="middle" align="center">82 (69.5)</td>
<td valign="middle" align="center">37 (61.7)</td>
<td valign="middle" align="center">19 (63.3)</td>
<td valign="middle" align="center">26 (92.9)</td>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Parity, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;0</td>
<td valign="middle" align="center">54 (45.8)</td>
<td valign="middle" align="center">30 (25.4)</td>
<td valign="middle" align="center">21 (35.0)</td>
<td valign="middle" align="center">8 (26.7)</td>
<td valign="middle" align="center">1 (3.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1</td>
<td valign="middle" align="center">62 (52.5)</td>
<td valign="middle" align="center">61 (51.7)</td>
<td valign="middle" align="center">32 (53.3)</td>
<td valign="middle" align="center">15 (50.0)</td>
<td valign="middle" align="center">14 (50.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;2</td>
<td valign="middle" align="center">2 (1.7)</td>
<td valign="middle" align="center">27 (22.9)</td>
<td valign="middle" align="center">7 (11.7)</td>
<td valign="middle" align="center">7 (23.3)</td>
<td valign="middle" align="center">13 (46.4)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">History of CS, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">88 (74.6)</td>
<td valign="middle" align="center">40 (33.9)</td>
<td valign="middle" align="center">29 (48.3)</td>
<td valign="middle" align="center">8 (26.7)</td>
<td valign="middle" align="center">3 (10.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">30 (25.4)</td>
<td valign="middle" align="center">78 (66.1)</td>
<td valign="middle" align="center">31 (51.7)</td>
<td valign="middle" align="center">22 (73.3)</td>
<td valign="middle" align="center">25 (89.3)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">History of curettage, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">69 (58.5)</td>
<td valign="middle" align="center">46 (39.0)</td>
<td valign="middle" align="center">20 (33.3)</td>
<td valign="middle" align="center">19 (63.3)</td>
<td valign="middle" align="center">7 (25.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">49 (41.5)</td>
<td valign="middle" align="center">72 (61.0)</td>
<td valign="middle" align="center">40 (66.7)</td>
<td valign="middle" align="center">11 (36.7)</td>
<td valign="middle" align="center">21 (75.0)</td>
<td valign="middle" align="center">0.003</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Pre-pregnancy BMI (kg/m<sup>2</sup>)</td>
<td valign="middle" align="center">22.04 &#xb1; 2.93</td>
<td valign="middle" align="center">22.59 &#xb1; 3.33</td>
<td valign="middle" align="center">21.45 &#xb1; 2.53</td>
<td valign="middle" align="center">23.60 &#xb1; 3.27<sup>a,b</sup>
</td>
<td valign="middle" align="center">23.93 &#xb1; 4.09<sup>a,b</sup>
</td>
<td valign="middle" align="center">0.181</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Pre-delivery BMI (kg/m<sup>2</sup>)</td>
<td valign="middle" align="center">27.16 &#xb1; 3.25</td>
<td valign="middle" align="center">27.42 &#xb1; 3.17</td>
<td valign="middle" align="center">26.60 &#xb1; 2.34</td>
<td valign="middle" align="center">28.18 &#xb1; 4.02<xref ref-type="table-fn" rid="fnT1_2">
<sup>b</sup>
</xref>
</td>
<td valign="middle" align="center">28.37 &#xb1; 3.35<xref ref-type="table-fn" rid="fnT1_2">
<sup>b</sup>
</xref>
</td>
<td valign="middle" align="center">0.528</td>
<td valign="middle" align="center">0.037</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Placenta previa, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">104 (88.1)</td>
<td valign="middle" align="center">26 (22.0)</td>
<td valign="middle" align="center">19 (31.7)</td>
<td valign="middle" align="center">3 (10.0)</td>
<td valign="middle" align="center">4 (14.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">14 (11.9)</td>
<td valign="middle" align="center">92 (78.0)</td>
<td valign="middle" align="center">41 (68.3)</td>
<td valign="middle" align="center">27 (90.0)</td>
<td valign="middle" align="center">24 (85.7)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Hypertension disorders of pregnancy, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">111 (94.1)</td>
<td valign="middle" align="center">93 (78.8)</td>
<td valign="middle" align="center">48 (80.0)</td>
<td valign="middle" align="center">23 (76.7)</td>
<td valign="middle" align="center">22 (78.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">7 (5.9)</td>
<td valign="middle" align="center">25 (21.2)</td>
<td valign="middle" align="center">12 (20.0)</td>
<td valign="middle" align="center">7 (23.3)</td>
<td valign="middle" align="center">6 (21.4)</td>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Gestational diabetes mellitus, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">111 (94.1)</td>
<td valign="middle" align="center">78 (66.1)</td>
<td valign="middle" align="center">44 (73.3)</td>
<td valign="middle" align="center">17 (56.7)</td>
<td valign="middle" align="center">17 (60.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">7 (5.9)</td>
<td valign="middle" align="center">40 (33.9)</td>
<td valign="middle" align="center">16 (26.7)</td>
<td valign="middle" align="center">13 (43.3)</td>
<td valign="middle" align="center">11 (39.3)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Thyroid disease, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">99 (83.9)</td>
<td valign="middle" align="center">99 (83.9)</td>
<td valign="middle" align="center">48 (80.0)</td>
<td valign="middle" align="center">23 (76.7)</td>
<td valign="middle" align="center">28 (100.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">19 (16.1)</td>
<td valign="middle" align="center">19 (16.1)</td>
<td valign="middle" align="center">12 (20.0)</td>
<td valign="middle" align="center">7 (23.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1.000</td>
<td valign="middle" align="center">0.029</td>
</tr>
<tr>
<td valign="middle" align="left">Gestational age at sample collection (weeks)</td>
<td valign="middle" align="center">31.43<break/>(27.96-34.29)</td>
<td valign="middle" align="center">31.29<break/>(27.96-34.14)</td>
<td valign="middle" align="center">30.71<break/>(26.32-33.39)</td>
<td valign="middle" align="center">33.43<break/>(29.64-35.14)</td>
<td valign="middle" align="center">31.21<break/>(28.07-32.82)</td>
<td valign="middle" align="center">0.948</td>
<td valign="middle" align="center">0.149</td>
</tr>
<tr>
<td valign="middle" align="left">Gestational age at delivery (weeks)</td>
<td valign="middle" align="center">39.14<break/>(38.29-39.89)</td>
<td valign="middle" align="center">35.71<break/>(34.29-37.32)</td>
<td valign="middle" align="center">37.14<break/>(35.79-38.43)<sup>a</sup>
</td>
<td valign="middle" align="center">35.57<break/>(35.25-36.50)<sup>a</sup>
</td>
<td valign="middle" align="center">33.86<break/>(33.14-34.36)<sup>a, b</sup>
</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Mode of delivery, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Vaginal</td>
<td valign="middle" align="center">57 (48.3)</td>
<td valign="middle" align="center">9 (7.6)</td>
<td valign="middle" align="center">8 (13.3)</td>
<td valign="middle" align="center">1 (3.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;CS</td>
<td valign="middle" align="center">61 (51.7)</td>
<td valign="middle" align="center">109 (92.4)</td>
<td valign="middle" align="center">52 (86.7)</td>
<td valign="middle" align="center">29 (96.7)</td>
<td valign="middle" align="center">28 (100.0)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Blood loss volume (mL)</td>
<td valign="middle" align="center">200.00<break/>(200.00-300.00)</td>
<td valign="middle" align="center">800.00<break/>(500.00-1125.00)</td>
<td valign="middle" align="center">500.00<break/>(400.00-800.00)<sup>a</sup>
</td>
<td valign="middle" align="center">1000.00<break/>(600.00-1200.00)<sup>a,b</sup>
</td>
<td valign="middle" align="center">1300.00<break/>(825.00-2400.00)<sup>a,b</sup>
</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Blood transfusion, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">118 (100.0)</td>
<td valign="middle" align="center">70 (59.3)</td>
<td valign="middle" align="center">53 (88.3)</td>
<td valign="middle" align="center">17 (56.7)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">48 (40.7)</td>
<td valign="middle" align="center">7 (11.7)</td>
<td valign="middle" align="center">13 (43.3)</td>
<td valign="middle" align="center">28 (100.0)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Hysterectomy, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">118 (100.0)</td>
<td valign="middle" align="center">97 (82.2)</td>
<td valign="middle" align="center">60 (100.0)</td>
<td valign="middle" align="center">29 (96.7)</td>
<td valign="middle" align="center">8 (28.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">21 (17.8)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1 (3.3)</td>
<td valign="middle" align="center">20 (71.4)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Neonatal weight (g)</td>
<td valign="middle" align="center">3311.99 &#xb1; 479.53</td>
<td valign="middle" align="center">2613.64 &#xb1; 600.85</td>
<td valign="middle" align="center">2852.67 &#xb1; 540.52<xref ref-type="table-fn" rid="fnT1_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">2543.33 &#xb1; 583.97<sup>a,b</sup>
</td>
<td valign="middle" align="center">2176.79 &#xb1; 478.89<sup>a,b,c</sup>
</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">NICU admission, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">113 (95.8)</td>
<td valign="middle" align="center">53 (44.9)</td>
<td valign="middle" align="center">43 (71.7)</td>
<td valign="middle" align="center">10 (33.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">5 (4.2)</td>
<td valign="middle" align="center">65 (55.1)</td>
<td valign="middle" align="center">17 (28.3)</td>
<td valign="middle" align="center">20 (66.7)</td>
<td valign="middle" align="center">28 (100.0)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PAS, placenta accreta spectrum disorders; CS, cesarean section; NICU, neonatal intensive care unit.</p>
</fn>
<fn>
<p>Age, pre-pregnancy BMI, pre-delivery BMI, and neonatal weight are shown as average &#xb1; standard deviation. Gestational age at sample collection, gestation age at delivery and blood loss volume are shown as median (<italic>P</italic>
<sub>25</sub>-<italic>P</italic>
<sub>75</sub>). Gravidity, parity, history of CS, history of curettage, placenta previa, hypertension disorder of pregnancy, gestational diabetes mellitus, thyroid disease, blood transfusion, hysterectomy and NICU admission are shown as number (percentage).</p>
</fn>
<fn>
<p>
<italic>p</italic>
<sup>*</sup>, compared between the control and total PAS groups.</p>
</fn>
<fn>
<p>
<italic>p</italic>
<sup>**</sup>, compared among the control group, accreta, increta and percreta groups.</p>
</fn>
<fn id="fnT1_1">
<label>a</label>
<p>
<italic>p</italic> &lt; 0.05, compared with the control group.</p>
</fn>
<fn id="fnT1_2">
<label>b</label>
<p>
<italic>p</italic> &lt; 0.05, compared with the placenta accreta groups.</p>
</fn>
<fn id="fnT1_3">
<label>c</label>
<p>
<italic>p</italic> &lt; 0.05, compared with the placenta increta groups.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The PAS group exhibited higher prevalence of gravidity, parity, history of CS and curettage compared to the control group (<italic>p</italic> &lt; 0.05). The proportions of placenta previa, hypertension disorders of pregnancy, gestational diabetes, hysterectomy, blood loss volume and NICU admission were higher in the PAS group than in the control group (<italic>p</italic> &lt; 0.05). Conversely, the gestational age at delivery and neonatal weight were lower in the PAS group than in the control group (<italic>p</italic> &lt; 0.05). No statistically significant differences were observed in other variables between the two groups (<italic>p</italic> &gt; 0.05). When these clinical characteristics were compared among the control, PA, PI and PP subgroups, the differences aforementioned remained statistically significant (<italic>p</italic> &lt; 0.05).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Maternal plasma APOA1 levels in the control and PAS groups</title>
<p>A comparison of maternal plasma APOA1 levels revealed that PAS patients exhibited a significantly lower level (150.51 &#xb1; 29.58 mg/L) than control women (159.73 &#xb1; 36.74 mg/L) (<italic>p</italic> = 0.035) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). A comparison of the subgroups of PAS and the control group revealed that the PP patients exhibited a further reduction in APOA1 levels (133.24 &#xb1; 28.81 mg/L) compared to the PA patients (159.62 &#xb1; 28.50 mg/L) and the control group (<italic>p</italic> &lt; 0.010). Nevertheless, the APOA1 levels of the PP group did not differ statistically from those of the PI group (148.41 &#xb1; 25.34 mg/L) (<italic>p</italic> = 0.291) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Between 24<sup>+0</sup> and 35<sup>+6</sup> weeks of gestation, a slight decrease was observed in the trajectory of APOA1 levels in the PAS group, while no change was noted in the control group (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). In subgroups analysis, it was evident that APOA1 trajectory in PP and PI group exhibited a notable decline (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). As illustrated in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, APOA1 levels were significantly lower in PP group than in the other groups in the 32<sup>+0</sup>-35<sup>+6</sup> weeks gestational age range (<italic>p</italic> &lt; 0.001).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Plasma APOA1 levels in PAS patients and healthy pregnant women. <bold>(A)</bold> APOA1 levels in the control group and PAS group. <bold>(B)</bold> APOA1 levels in the control, PA, PI and PP group. <bold>(C)</bold> APOA1 trajectory in the control and PAS group between 24&#x2013;36 weeks of gestation. <bold>(D)</bold> APOA1 trajectory in the control, PA, PI and PP group between 24&#x2013;36 weeks of gestation. APOA1, apolipoprotein A1; PAS, placenta accreta spectrum; PA, placenta accreta; PI, placenta increta; PP, placenta percreta. *p &lt; 0.05, **p&lt;0.01, ***p&lt;0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1627377-g002.tif">
<alt-text content-type="machine-generated">Four-panel chart showing APOA1 levels. Panel A: Scatter plot showing higher APOA1 levels in CON (green) than PAS (red) groups. Panel B: APOA1 levels decrease from CON (green) to PA (yellow), PI (orange), and PP (red). Panel C: Line graph showing APOA1 levels across gestational age; CON (green) slightly above PAS (red). Panel D: APOA1 levels across gestational age with trends for CON (green), PA (yellow), PI (orange), and PP (red) groups.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Plasma levels of APOA1 (mg/L) in different gestational ages in the control and PAS groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Gestational age</th>
<th valign="middle" rowspan="2" align="center">Control (n = 118)</th>
<th valign="middle" colspan="4" align="center">PAS</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>
<sup>*</sup>
</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>
<sup>**</sup>
</th>
</tr>
<tr>
<th valign="middle" align="center">Total (n = 118)</th>
<th valign="middle" align="center">Accreta (n = 60)</th>
<th valign="middle" align="center">Increta (n = 30)</th>
<th valign="middle" align="center">Percreta (n = 28)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">32<sup>+0</sup>-35<sup>+6</sup> weeks</td>
<td valign="middle" align="center">158.12 &#xb1; 37.45<break/>(n = 50)</td>
<td valign="middle" align="center">145.60 &#xb1; 29.19<break/>(n = 51)</td>
<td valign="middle" align="center">163.72 &#xb1; 19.97<break/>(n = 23)</td>
<td valign="middle" align="center">145.67 &#xb1; 20.19<break/>(n = 16)</td>
<td valign="middle" align="center">110.79 &#xb1; 22.59<sup>a,b,c</sup>
<break/>(n = 12)</td>
<td valign="middle" align="center">0.064</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left">28<sup>+0</sup>-31<sup>+6</sup> weeks</td>
<td valign="middle" align="center">162.79 &#xb1; 38.53<break/>(n = 39)</td>
<td valign="middle" align="center">158.59 &#xb1; 32.68<break/>(n = 38)</td>
<td valign="middle" align="center">166.94 &#xb1; 34.76<break/>(n = 19)</td>
<td valign="middle" align="center">146.11 &#xb1; 34.09<break/>(n = 9)</td>
<td valign="middle" align="center">153.96 &#xb1; 24.78<break/>(n = 10)</td>
<td valign="middle" align="center">0.608</td>
<td valign="middle" align="center">0.467</td>
</tr>
<tr>
<td valign="middle" align="left">24<sup>+0</sup>-27<sup>+6</sup> weeks</td>
<td valign="middle" align="center">160.43 &#xb1; 34.60<break/>(n = 29)</td>
<td valign="middle" align="center">148.55 &#xb1; 24.25<break/>(n = 29)</td>
<td valign="middle" align="center">146.66 &#xb1; 27.61<break/>(n = 18)</td>
<td valign="middle" align="center">161.32 &#xb1; 23.49<break/>(n = 5)</td>
<td valign="middle" align="center">143.60 &#xb1; 7.45<break/>(n = 6)</td>
<td valign="middle" align="center">0.136</td>
<td valign="middle" align="center">0.345</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>APOA1, apolipoprotein A1; PAS, placenta accreta spectrum.</p>
</fn>
<fn>
<p>
<italic>p</italic>
<sup>*</sup>, compared between the control and total PAS groups.</p>
</fn>
<fn>
<p>
<italic>p</italic>
<sup>**</sup>, compared among the control group, accreta, increta and percreta groups.</p>
</fn>
<fn id="fnT2_1">
<label>a</label>
<p>
<italic>p</italic> &lt; 0.05, compared with the control group.</p>
</fn>
<fn id="fnT2_2">
<label>b</label>
<p>
<italic>p</italic> &lt; 0.05, compared with the placenta accreta groups.</p>
</fn>
<fn id="fnT2_3">
<label>c</label>
<p>
<italic>p</italic> &lt; 0.05, compared with the placenta increta groups.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Association of plasma APOA1 levels with PAS-related outcomes</title>
<p>As is the case for all periods, the unadjusted analyses revealed a statistically significant association between maternal plasma APOA1 level and invasive PAS (OR = 0.980, 95% CI 0.970, 0.991, <italic>p</italic> &lt; 0.001), PP (OR = 0.971, 95% CI 0.956, 0.987, <italic>p</italic> &lt; 0.001), blood loss volume (&#x3b2; = -3.635, 95% CI -5.132, -2.138, <italic>p</italic> &lt; 0.001), blood transfusion (OR = 0.982, 95% CI 0.971, 0.993, <italic>p</italic> = 0.002) and hysterectomy (OR = 0.974, 95% CI 0.958, 0.991, <italic>p</italic> = 0.003) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). After adjusting the model for maternal age, gravidity, parity, history of CS, history of curettage, placenta previa, and pre-pregnancy BMI, the association between plasma APOA1 level and invasive PAS, PP, blood loss volume, blood transfusion and hysterectomy remained statistically significant (<italic>p</italic> &lt; 0.05). In subgroup analysis, such associations were still statistically significant during 32<sup>+0</sup>-35<sup>+6</sup> weeks of gestation (<italic>p</italic> &lt; 0.05). However, no statistically significant association was identified between maternal plasma APOA1 levels and PAS-related outcomes in 28<sup>+0</sup>-31<sup>+6</sup> weeks and 24<sup>+0</sup>-27<sup>+6</sup> weeks subgroups (<italic>p</italic> &gt; 0.05).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Associations of maternal plasma APOA1 level with PAS-related outcomes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Clinical outcome</th>
<th valign="middle" align="center">&#x3b2; (95% CI)</th>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" colspan="5" align="left">All periods (24<sup>+0</sup>-35<sup>+6</sup> weeks)</td>
</tr>
<tr>
<td valign="middle" colspan="5" align="left">Crude</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Invasive PAS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.980 (0.970, 0.991)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Placenta percreta</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.971 (0.956, 0.987)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood loss volume (mL)</td>
<td valign="middle" align="center">-3.635 (-5.132, -2.138)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;Vaginal delivery</td>
<td valign="middle" align="center">-1.026 (-2.650, 0.598)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.212</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;CS</td>
<td valign="middle" align="center">-4.417 (-6.444, -2.390)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood transfusion</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.982 (0.971, 0.993)</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2003;Vaginal delivery</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.975 (0.913, 1.042)</td>
<td valign="middle" align="center">0.458</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2003;CS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.982 (0.970, 0.995)</td>
<td valign="middle" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Hysterectomy</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.974 (0.958, 0.991)</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Adjusted<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Invasive PAS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.977 (0.961, 0.992)</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Placenta percreta</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.970 (0.950, 0.990)</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood loss volume (mL)</td>
<td valign="middle" align="center">-2.528 (-3.868, -1.188)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;Vaginal delivery</td>
<td valign="middle" align="center">-0.838 (-1.983, 0.306)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.148</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;CS</td>
<td valign="middle" align="center">-3.499 (-5.283, -1.714)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood transfusion<sup>**</sup>
</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.981 (0.966, 0.997)</td>
<td valign="middle" align="center">0.022</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2003;CS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.984 (0.968, 1.000)</td>
<td valign="middle" align="center">0.047</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Hysterectomy</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.979 (0.959, 1.000)</td>
<td valign="middle" align="center">0.048</td>
</tr>
<tr>
<td valign="middle" colspan="5" align="left">32<sup>+0</sup>-35<sup>+6</sup> weeks</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Crude</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Invasive PAS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.969 (0.952, 0.985)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Placenta percreta</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.942 (0.914, 0.970)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood loss volume (mL)</td>
<td valign="middle" align="center">-4.637 (-7.096, -2.178)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;Vaginal delivery</td>
<td valign="middle" align="center">-0.358 (-1.040, 1.756)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.599</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;CS</td>
<td valign="middle" align="center">-7.532 (-12.124, -2.940)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood transfusion<sup>**</sup>
</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.971 (0.954, 0.988)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2003;CS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.967 (0.948, 0.987)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Hysterectomy</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.946 (0.916, 0.976)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Adjusted<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Invasive PAS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.947 (0.916, 0.978)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Placenta percreta</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.909 (0.856, 0.967)</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood loss volume (mL)</td>
<td valign="middle" align="center">-3.756 (-5.926, -1.586)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;Vaginal delivery</td>
<td valign="middle" align="center">-0.203 (-1.326, 0.920)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.702</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;CS</td>
<td valign="middle" align="center">-6.116 (-8.907, -3.325)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood transfusion<sup>**</sup>
</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.937 (0.901, 0.975)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2003;CS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.934 (0.892, 0.977)</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Hysterectomy</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.922 (0.866, 0.981)</td>
<td valign="middle" align="center">0.010</td>
</tr>
<tr>
<td valign="middle" colspan="5" align="left">28<sup>+0</sup>-31<sup>+6</sup> weeks</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Crude</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Invasive PAS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.987 (0.969, 1.005)</td>
<td valign="middle" align="center">0.146</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Placenta percreta</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.993 (0.972, 1.014)</td>
<td valign="middle" align="center">0.520</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood loss volume (mL)</td>
<td valign="middle" align="center">-2.616 (-6.767, 1.535)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.213</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;Vaginal delivery</td>
<td valign="middle" align="center">-1.092 (-4.223, 2.038)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.476</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;CS</td>
<td valign="middle" align="center">-2.620 (-8.392, 3.152)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.367</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood transfusion<sup>**</sup>
</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">1.014 (0.972, 1.057)</td>
<td valign="middle" align="center">0.518</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2003;CS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">1.018 (0.975, 1.064)</td>
<td valign="middle" align="center">0.419</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Hysterectomy</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.994 (0.970, 1.019)</td>
<td valign="middle" align="center">0.638</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Adjusted<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Invasive PAS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.953 (0.855, 1.061)</td>
<td valign="middle" align="center">0.378</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Placenta percreta</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">1.017 (0.979, 1.057)</td>
<td valign="middle" align="center">0.390</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood loss volume (mL)</td>
<td valign="middle" align="center">-0.521 (-4.693, 3.651)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.804</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;Vaginal delivery</td>
<td valign="middle" align="center">-2.132 (-5.299, 1.035)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.172</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;CS</td>
<td valign="middle" align="center">-0.839 (-5.619, 7.296)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.795</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood transfusion<sup>**</sup>
</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">1.014 (0.972, 1.057)</td>
<td valign="middle" align="center">0.518</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2003;CS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">1.018 (0.975, 1.064)</td>
<td valign="middle" align="center">0.419</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Hysterectomy</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">1.024 (0.980, 1.070)</td>
<td valign="middle" align="center">0.291</td>
</tr>
<tr>
<td valign="middle" colspan="5" align="left">24<sup>+0</sup>-27<sup>+6</sup> weeks</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Crude</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Invasive PAS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.996 (0.974, 1.019)</td>
<td valign="middle" align="center">0.727</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Placenta percreta</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.985 (0.953, 1.017)</td>
<td valign="middle" align="center">0.351</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood loss volume (mL)</td>
<td valign="middle" align="center">-1.419 (-6.004, 3.165)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.538</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;Vaginal delivery</td>
<td valign="middle" align="center">-2.175 (-9.468, 5.119)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.540</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;CS</td>
<td valign="middle" align="center">-0.102 (-6.173, 6.378)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.974</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood transfusion</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.994 (0.971, 1.017)</td>
<td valign="middle" align="center">0.586</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2003;Vaginal delivery</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.975 (0.902, 1.053)</td>
<td valign="middle" align="center">0.975</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2003;CS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.998 (0.970, 1.027)</td>
<td valign="middle" align="center">0.878</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Hysterectomy</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.993 (0.961, 1.026)</td>
<td valign="middle" align="center">0.667</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">Adjusted<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Invasive PAS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.994 (0.946, 1.044)</td>
<td valign="middle" align="center">0.805</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Placenta percreta</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.973 (0.883, 1.073)</td>
<td valign="middle" align="center">0.584</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood loss volume (mL)</td>
<td valign="middle" align="center">1.128 (-3.100, 5.356)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.981</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;Vaginal delivery</td>
<td valign="middle" align="center">0.035 (-3.082, 3.152)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.585</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">&#x2003;CS</td>
<td valign="middle" align="center">0.534 (-5.435, -6.503)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.856</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Blood transfusion<sup>**</sup>
</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.997 (0.945, 1.052)</td>
<td valign="middle" align="center">0.925</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2003;CS</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.992 (0.922, 1.068)</td>
<td valign="middle" align="center">0.835</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="middle" align="left">Hysterectomy</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.985 (0.915, 1.061)</td>
<td valign="middle" align="center">0.687</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>*</sup>Adjusted for maternal age, gravidity, parity, cesarean history, curettage history, placenta previa, pre-pregnancy BMI.</p>
</fn>
<fn>
<p>
<sup>**</sup>The number of blood transfusions in the vaginal delivery group was minimal or null, the distribution of target variable categories was markedly imbalanced, and the logistic regression results were based solely on the constants in predicting the outcome of blood transfusion.</p>
</fn>
<fn>
<p>APOA1, apolipoprotein A1; PAS, placenta accreta spectrum; OR, odds ratio; CI, confidence interval; CS, cesarean section.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Predictive value of maternal plasma APOA1 level for PAS-related outcomes</title>
<p>The calculated AUC for the APOA1 levels in distinguishing invasive PAS, PP, blood transfusion and hysterectomy were 0.668 (95% CI 0.590-0.747, <italic>p</italic> &lt; 0.001), 0.707 (95% CI 0.604-0.809, <italic>p</italic> &lt; 0.001), 0.640 (95% CI 0.556-0.724, <italic>p</italic> = 0.001) and 0.690 (95% CI 0.562-0.819, <italic>p</italic> = 0.004), respectively, throughout all periods (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). In the subgroup of 32<sup>+0</sup>-35<sup>+6</sup> weeks of gestation, the AUC for distinguishing invasive PAS, PP, blood transfusion and hysterectomy were 0.761 (95% CI 0.660-0.863, <italic>p</italic> &lt; 0.001), 0.889 (95% CI 0.801-0.976, <italic>p</italic> &lt; 0.001), 0.729 (95% CI 0.620-0.838, <italic>p</italic> &lt; 0.001) and 0.884 (95% CI 0.790-0.978, <italic>p</italic> &lt; 0.001), respectively. In the subgroup of 24<sup>+0</sup>-27<sup>+6</sup> weeks of gestation, the AUC for distinguishing PP was 0.651 (95% CI 0.514-0.788, <italic>p</italic> = 0.031). No statistically significant difference was observed in the remaining outcomes (<italic>p</italic> &gt; 0.05).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The ROC curve stratified by gestational age of plasma APOA1 levels to predict PAS-related outcomes. ROC, receiver-operating-characteristics; APOA1, apolipoprotein A1; PAS, placenta accreta spectrum.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1627377-g003.tif">
<alt-text content-type="machine-generated">Receiver Operating Characteristic (ROC) curves for four medical conditions across different gestational periods. Each chart displays sensitivity versus 1-specificity for conditions: Invasive PAS, Placenta Percreta, Blood Transfusion, and Hysterectomy. Rows represent overall and specific weeks (32\(^0\)-35\(^+6\), 28\(^0\)-31\(^+6\), 24\(^0\)-27\(^+6\)). AUC values and corresponding confidence intervals, with significance levels, are shown for each curve. Red shaded areas indicate confidence regions.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Main findings</title>
<p>To our knowledge, this is the first study linking plasma APOA1 to PAS and its adverse outcomes. The present study revealed that the plasma APOA1 level of PAS patients was lower than that of the control group. During the gestational age between 24<sup>+0</sup> and 35<sup>+6</sup> weeks, the APOA1 levels of invasive PAS patients exhibited a gradual decline, with a more pronounced reduction observed in the PP group. A strong relationship was observed between APOA1 levels and invasive PAS, PP, blood loss volume, blood transfusion and hysterectomy, after adjusting for potential confounders during the period from 32<sup>+0</sup> to 35<sup>+6</sup> weeks of gestation. Plasma APOA1 may serve as a predictive marker for the occurrence of invasive PAS, PP, blood transfusion and hysterectomy.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Interpretation</title>
<p>The hallmark of PAS is the excessive invasion of placenta villi. Our findings indicated that a reduction in plasma APOA1 levels was associated with an increased severity of PAS. In contrast, preeclampsia is distinguished by shallow placental invasion and appears to exhibit an opposite pathogenesis compared to that of PAS (<xref ref-type="bibr" rid="B18">18</xref>). The plasma APOA1 level was observed to be significantly elevated in preeclampsia patients (<xref ref-type="bibr" rid="B16">16</xref>). The observation that APOA1 exhibits opposing changes in these two diseases with seemingly disparate etiologies serves to reinforce the hypothesis that APOA1 is inversely correlated with placental invasion. APOA1 is primarily produced and secreted by liver cells, although the placenta is also capable of releasing substantial quantities of it during pregnancy. An <italic>in vitro</italic> study demonstrated that trophoblast cells are capable of secreting a greater quantity of APOA1 than hepatocytes (<xref ref-type="bibr" rid="B21">21</xref>). It is traditionally been assumed that extravillous trophoblast cells (EVTs) exhibit tumor-like characteristics in PAS, including an enhanced capacity for proliferation, invasion and migration (<xref ref-type="bibr" rid="B22">22</xref>). Liu et&#xa0;al. demonstrated that APOA1 could inhibit the proliferation and invasion of trophoblast cells (<xref ref-type="bibr" rid="B16">16</xref>). This may provide an explanation for the observed reduction in APOA1 levels.</p>
<p>New evidence indicates that hypoxia, angiogenesis stimulation, and immune response suppression also contribute to the pathogenesis of PAS (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). APOA1 has been demonstrated to facilitate vasorelaxation by stimulating endothelial nitric oxide production (<xref ref-type="bibr" rid="B25">25</xref>). The downregulation of APOA1 may be associated with vasocontraction and insufficient blood flow to the placenta, which in turn may result in angiogenesis to counteract hypoxia. Therefore, it can be surmised that a rich network of vessels will develop in the placenta and that a greater quantity of blood will be lost when patients with PAS delivery. Although there has been minimal research conducted on the immunological function of APOA1 during gestation, discoveries gained from gynecological tumor studies may provide some insights into this area. A significant decrease in plasma APOA1 level was observed in endometrium and ovarian cancers (<xref ref-type="bibr" rid="B26">26</xref>). A negative correlation was observed between the infiltration of CD163<sup>+</sup> macrophages and APOA1, whereas a positive correlation was noted between the infiltration of CD8<sup>+</sup> T cells and it (<xref ref-type="bibr" rid="B26">26</xref>). A comparable activation of M2 macrophages and inhibition of T cells were observed in PAS tissues (<xref ref-type="bibr" rid="B23">23</xref>). This suggests that APOA1 may play a role in the pathogenesis of PAS by modulating the function of macrophages and T cells.</p>
<p>The study conducted by Dathan-Stumpf et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>) indicated that there was no discernible alteration in APOA1 levels between the second and third trimesters. This finding aligns with the results observed in the non-PAS group in our study. However, our study provides a more detailed account of APOA1 changes after 24 weeks of gestation, thereby supplementing the existing data on PAS patients. The different characteristics of APOA1 alterations may be associated with the activity of placental invasion in the late trimesters. The status of epithelial-to-mesenchymal transition (EMT) was observed to remain active in the third trimester of pregnancy, indicating the continued differentiation of cytotrophoblasts (CTBs) into EVTs (<xref ref-type="bibr" rid="B28">28</xref>). Transcription factors associated with EMT were observed to be overexpressed in the increta region of the placenta (<xref ref-type="bibr" rid="B23">23</xref>). In lung fibrosis, APOA1 has been demonstrated to inhibit the EMT process (<xref ref-type="bibr" rid="B29">29</xref>), which suggests that a low level of APOA1 may stimulate EMT and promote the differentiation of CTB-EVT, thereby maintaining the invasion capacity of placental villi in the third trimester. This may elucidate the mechanism that underlies the observed correlation between APOA1 level and the severity of PAS.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Strengths and limitations</title>
<p>This is the first study to examine the correlation between maternal plasma APOA1 levels and PAS, as well as its severity and adverse outcomes. Previous studies have explored various blood biomarkers for PAS, including aneuploidy screening markers, as well as parameters associated with angiogenesis, oxidative stress, coagulation, and immune responses (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B30">30</xref>). However, these investigations were typically limited by small sample sizes in the PAS groups, with most studies including fewer than 50 cases and rarely exceeding 100 cases. In contrast, our study retained 118 PAS cases after PSM, representing one of the largest sample sizes among published PAS biomarker studies to date, while additionally controlling for potential confounding factors. Moreover, due to the low incidence of PAS and consequent sample size limitations, previous studies generally failed to stratify PAS severity. Our study successfully conducted subgroup analyses across PA, PI and PP with statistically significant results. Finally, APOA1 is a practical and widely available biomarker, measurable in standard hospital labs. While MRI remains valuable for diagnosing invasive PAS, its accuracy varies by operator experience and accessibility is limited in many settings. In contrast, APOA1 testing is cost-effective, highly standardized, and available in most hospitals. These advantages make APOA1 a promising screening tool, particularly where MRI access is restricted. With further validation in our ongoing multicenter study, APOA1 could be integrated into clinical practice within short time.</p>
<p>Some limitation of this study should be listed. The present study did not examine maternal APOA1 levels in the first trimester of gestation. The early evaluation of APOA1 may facilitate the prediction process. Secondly, there was no accurate uniformity in the time of APOA1 level assessment. This is attributable to the fact that peripheral blood was collected when necessary test, such as oral glucose tolerance test, were conducted in accordance with standard clinical practice, with minimal additional burden to the pregnant women. Ultimately, the underlying mechanism by which APOA1 exerts its influence on PAS remains unclear.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The current study demonstrates a reduction in plasma levels of APOA1 in patients with PAS, particularly within the PP group. The trajectory of APOA1 levels exhibited a decline from 24<sup>+0</sup> to 35<sup>+6</sup> weeks of gestation in patients with invasive PAS. Furthermore, a decreased level of APOA1 was found to be associated with the severity of PAS and its adverse outcomes, including blood transfusion and hysterectomy, under multidisciplinary team management and standardized surgical protocols.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Peking University Third Hospital Medical Science Research Ethics Committee. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SZ: Conceptualization, Formal analysis, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JQ: Formal analysis, Methodology, Writing &#x2013; review &amp; editing. HJ: Data curation, Methodology, Writing &#x2013; review &amp; editing. HS: Data curation, Methodology, Software, Writing &#x2013; review &amp; editing. JY: Methodology, Supervision, Writing &#x2013; review &amp; editing. YZ: Conceptualization, Funding acquisition, Project administration, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LC: Conceptualization, Funding acquisition, Project administration, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Capital&#x2019;s Funds for Health Improvement and Research (2024-1-4094); and the National Key Research and Development Program of China (2022YFC2704503).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;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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