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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2022.876411</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Twin Growth Discordance and Risk of Postpartum Hemorrhage: A Retrospective Cohort Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Cao</surname> <given-names>Xiuhong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Luo</surname> <given-names>Ye</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Shuangqiong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhao</surname> <given-names>Qingsong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1784039/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Qin</surname> <given-names>Xuewei</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Zhiqiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/891247/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xu</surname> <given-names>Zhendong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1059137/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Research and Education, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Depeng Zhao, Shenzhen Maternity and Child Healthcare Hospital, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ferdinando Antonio Gulino, Azienda di Rilievo Nazionale e di Alta Specializzazione (ARNAS) Garibaldi, Italy; Si Zeng, Sichuan Academy of Medical Sciences and Sichuan Provincial People&#x00027;s Hospital, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Zhiqiang Liu <email>drliuzhiqiang&#x00040;163.com</email></corresp>
<corresp id="c002">Zhendong Xu <email>btxzd123&#x00040;126.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Obstetrics and Gynecology, a section of the journal Frontiers in Medicine</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work and share first authorship</p></fn></author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>876411</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Cao, Luo, Zhou, Zhao, Qin, Liu and Xu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Cao, Luo, Zhou, Zhao, Qin, Liu and Xu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>In recent years, the incidence of postpartum hemorrhage has increased globally. Multiple pregnancies and cesarean sections are well-known risk factors for postpartum hemorrhage. No studies have evaluated the associations between fetal growth anomalies and postpartum hemorrhage in women with twin pregnancies undergoing cesarean section. This study aimed to identify the relationship between fetal growth anomalies and postpartum hemorrhage in women with twin pregnancies undergoing cesarean section.</p>
</sec>
<sec>
<title>Methods</title>
<p>This retrospective single-center study included 3,180 women with twin pregnancies at a tertiary hospital between August 2013 and July 2020. Singleton reference charts were used to assess fetal growth restriction at birth. Discordant growth was defined as an intertwin birth weight difference of &#x02265;20%. Logistic regression analyses were used to evaluate the association between fetal growth anomalies and postpartum hemorrhage. Additionally, sensitivity analysis of abnormal placenta and stratification by twin chorionicity were conducted.</p>
</sec>
<sec>
<title>Results</title>
<p>The overall incidence of postpartum hemorrhage was 4.3%. Twin growth discordance, especially with fetal growth restriction, was associated with an increased risk of postpartum hemorrhage (adjusted odds ratio [AOR] = 1.62, 95% confidence interval [CI], 1.05&#x02013;2.51, <italic>P</italic> = 0.031; AOR = 1.71; 95% CI, 1.08&#x02013;2.70, <italic>P</italic> = 0.022; AOR = 1.98, 95% CI, 1.21&#x02013;3.25, <italic>P</italic> = 0.006, respectively). After stratification, this relationship persisted in dichorionic twins (OR = 1.71, 95% CI, 1.04&#x02013;2.82, <italic>P</italic> = 0.036; OR = 1.90, 95% CI, 1.13&#x02013;3.21, <italic>P</italic> = 0.016; OR = 2.48, 95% CI, 1.41&#x02013;4.38, <italic>P</italic> = 0.002, respectively). However, no significant association was observed in monochorionic twin pregnancies.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Growth discordance, especially complicated by fetal growth restriction, was associated with an increased risk of postpartum hemorrhage in women with twin pregnancies undergoing cesarean section, and was more evident in patients with dichorionic twins.</p>
</sec></abstract>
<kwd-group>
<kwd>chorionicity</kwd>
<kwd>cesarean section</kwd>
<kwd>fetal growth restriction</kwd>
<kwd>growth discordance</kwd>
<kwd>postpartum hemorrhage</kwd>
<kwd>twin pregnancy</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="63"/>
<page-count count="8"/>
<word-count count="6335"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>In recent years, the number and rate of multiple gestations, especially twin gestations, have risen dramatically due to advanced maternal age and the rapid development of assisted reproductive technology (ART) (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Twin pregnancies are more commonly affected by abnormal fetal growth, as the human uterus has a weak ability to meet the needs of more than one fetus. The most common abnormal fetal growth in twin pregnancies is fetal growth restriction (FGR) (<xref ref-type="bibr" rid="B3">3</xref>&#x02013;<xref ref-type="bibr" rid="B6">6</xref>). In twin pregnancies, the incidence of FGR, depending on the definition of growth restriction, ranges from 16 to 48% (<xref ref-type="bibr" rid="B4">4</xref>). Even without FGR, twin pregnancies may be complicated by twin growth discordance, which is defined as a birth weight difference of &#x02265;20% (<xref ref-type="bibr" rid="B7">7</xref>). Both FGR and twin growth discordance are known risk factors for adverse perinatal outcomes (<xref ref-type="bibr" rid="B8">8</xref>&#x02013;<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Postpartum hemorrhage (PPH) is one of the most common adverse perinatal outcomes in twin pregnancies. Postpartum hemorrhage is the leading cause of maternal death and poses critical health care challenges globally (<xref ref-type="bibr" rid="B16">16</xref>); therefore, it is crucial to identify pregnant women who are at a higher risk of PPH and implement early preventive strategies. Recently, factors including advanced maternal age, placenta previa, placental abruption, gestational hypertension, previous cesarean delivery, and fetal macrosomia have been reported to be associated with PPH (<xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). However, no study has investigated the effects of abnormal fetal growth on PPH.</p>
<p>This study aimed to explore the associations between twin pregnancies complicated by FGR or twin growth discordance and the risk of PPH in a retrospective twin birth cohort study conducted in Shanghai, China. Additionally, we investigated whether twin chorionicity (dichorionic and monochorionic) altered the association between abnormal fetal growth and PPH.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study Design and Population</title>
<p>This retrospective cohort study was conducted at the Shanghai First Maternity and Infant Hospital, which is one of the largest tertiary maternity hospitals in Shanghai, China, with over 20,000 deliveries annually. No special informed consent was obtained, and the hospital ethics committee approved the study (registration number: KS20279). Between August 2013 and July 2020, a total of 3,395 twin gestations were delivered <italic>via</italic> cesarean section in the hospital. We included patients who delivered after 22 weeks&#x00027; gestation and had complete medical records available for review. The exclusion criteria included cases where: (1) one fetus died <italic>in utero</italic>; (2) a combined delivery was performed (vaginal delivery of the first twin followed by cesarean section of the second twin); and (3) fetal structural anomalies or aneuploidy were present. Finally, 3,180 twin gestations were analyzed.</p>
</sec>
<sec>
<title>Data Collection</title>
<p>We reviewed the obstetric records of all women with twin pregnancies undergoing cesarean section. We extracted the demographic information of the participants from a computerized database and double-checked the data. Data on potential risk factors for PPH were collected: maternal age, gravidity, parity, ART use, gestational age at delivery, pre-pregnancy body mass index (BMI), previous cesarean section, placenta previa, uterine myoma, hypertensive disorders, placental abruption, placenta accreta/increta/percreta, low-lying placenta, hematocrit, premature rupture of membranes, emergency cesarean delivery, age at menarche, prenatal fever, and thrombocytopenia. We also collected data on unique features of the twins, such as the sex of the twins, the individual and combined birth weight of the twins, and twin chorionicity.</p>
</sec>
<sec>
<title>Definition of Abnormal Fetal Growth</title>
<p>The definition of FGR in twin pregnancies is inconsistent in the literature, and two separate criteria have been applied: at least one fetus with a birth weight &#x0003C; the 10th percentile (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>), or at least one fetus with a birth weight &#x0003C; the 3rd percentile (<xref ref-type="bibr" rid="B28">28</xref>&#x02013;<xref ref-type="bibr" rid="B30">30</xref>). Based on the definition of selective fetal growth restriction (sFGR) in the recent Delphi Consensus Statement, we adapted the antenatal criteria of one of the following: (1) one twin with a birth weight &#x0003C; the 10th centile and a birth weight discordance of &#x0003E;25%, or (2) the solitary criterion of one twin with a birth weight &#x0003C; the 3rd percentile (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Singleton reference charts were used to assess birth weight centiles (<xref ref-type="bibr" rid="B28">28</xref>). Growth discordance was defined as a twin birth weight difference of &#x02265;20% (twin birth weight difference = (large fetal body weight &#x02013; small fetal body weight) / large fetal body weight &#x000D7; 100%) (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>).</p>
</sec>
<sec>
<title>PPH Diagnosis</title>
<p>The primary outcome was PPH, which was identified in our dataset using the International Classification of Diseases, Eleventh Revision, Clinical Modification (ICD-11-CM) diagnosis codes JA43.1. Secondary outcomes included PPH with severe maternal morbidity (SMM) and PPH with hemostatic interventions. We used a combination of visual estimation and quantitative blood loss (QBL) measurement to qualify blood loss (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). PPH was defined as blood loss of &#x02265;1,000 ml following delivery (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). PPH with SMM was a composite outcome defined as PPH associated with any of the following: transfusion of &#x02265;4 units of packed red blood cells, hysterectomy, return to the operating room for exploratory laparotomy, and intensive care unit admission for invasive monitoring or treatment. PPH with hemostatic interventions was defined as PPH associated with uterine artery ligation, intrauterine balloon tamponade, or uterine compression suture.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Statistical analysis was performed using SPSS (version 16.0, SPSS Inc., Chicago, IL, USA). Continuous variables with normal distributions are presented as mean &#x000B1; standard deviation (SD), while categorical data are presented as percentages (%). Parametric <italic>t</italic>-tests and &#x003C7;<sup>2</sup> tests were used to compare the differences in demographic characteristics between women with PPH and women without PPH.</p>
<p>The associations of FGR or twin growth discordance with the risk of PPH were estimated using a multivariable logistic regression analysis, with odds ratios (ORs) corresponding to 95% confidence intervals (CIs) as risk measures. We adjusted for the following covariates that have been shown to be associated with PPH (<xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B38">38</xref>): maternal age, pre-pregnancy BMI, gravidity, parity, gestational age at delivery, age at menarche, placental abruption, placenta previa, placenta accreta, placenta increta, low-lying placenta, premature rupture of membranes, hematocrit of &#x0003C;30%, reduced platelet count (&#x0003C;70,000/&#x003BC;L), gestational hypertension, the use of ART, emergency operation, previous cesarean section, gestational diabetes mellitus, uterine myoma, prenatal fever, and twin chorionicity.</p>
<p>In order to exclude the impact of placenta accreta and increta on the association between abnormal fetal growth and PPH, we conducted a sensitivity analysis by restricting all logistic regression analyses to participants without placenta accreta or increta. Further, to investigate the potential modification effect of twin chorionicity, we stratified the study population by twin chorionicity and assessed the association of abnormal fetal growth with PPH in dichorionic and monochorionic twins separately. All analyses were bilateral, and statistical significance was set at <italic>P</italic> &#x0003C; 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Characteristics of the Study Participants</title>
<p>Altogether, 3,180 twin pregnancies were included in the final analysis. The overall incidence of PPH in this cohort was 4.3% (<italic>n</italic> = 138). The incidence of PPH with SMM and PPH with obstetric surgical procedures was 3.3% and 3.6%, respectively. <xref ref-type="table" rid="T1">Table 1</xref> presents the participants&#x00027; general characteristics. Women with PPH were significantly older than those without PPH (32.2 &#x000B1; 3.8 vs. 31.5 &#x000B1; 3.9, respectively, <italic>P</italic> = 0.043). The incidence of hypertensive disorders, hematocrit of &#x0003C;30%, and the use of ART were significantly higher in women with PPH than in women without PPH (<italic>P</italic> &#x0003C; 0.001, <italic>P</italic> = 0.021, <italic>P</italic> &#x0003C; 0.001, respectively). Moreover, the incidence of an abnormal placenta, such as placental abruption, placenta previa, placenta accreta, and placenta increta, was significantly different between the two groups (All values were <italic>P</italic> &#x0003C; 0.001).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Baseline characteristics of twin pregnancies complicated by PPH compared to non-PPH twin pregnancies.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>PPH (<italic>N</italic>&#x0003D;138)</bold></th>
<th valign="top" align="center"><bold>Non-PPH (<italic>N</italic>&#x0003D;3,042)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Demographic</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Maternal age (years)</td>
<td valign="top" align="center">32.2 &#x000B1; 3.8</td>
<td valign="top" align="center">31.5 &#x000B1; 3.9</td>
<td valign="top" align="center">0.043</td>
</tr>
<tr>
<td valign="top" align="left">Parity</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Nulliparous</td>
<td valign="top" align="center">121 (87.7%)</td>
<td valign="top" align="center">2,530 (83.2%)</td>
<td valign="top" align="center">0.164</td>
</tr>
<tr>
<td valign="top" align="left">Multiparous</td>
<td valign="top" align="center">17 (12.3%)</td>
<td valign="top" align="center">512 (16.8%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gravidity</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;4</td>
<td valign="top" align="center">124 (89.9%)</td>
<td valign="top" align="center">2,804 (92.2%)</td>
<td valign="top" align="center">0.323</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;4</td>
<td valign="top" align="center">14 (10.1%)</td>
<td valign="top" align="center">238 (7.8%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age at menarche</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"> &#x02264; 12</td>
<td valign="top" align="center">20 (14.5%)</td>
<td valign="top" align="center">470 (15.5%)</td>
<td valign="top" align="center">0.949</td>
</tr>
<tr>
<td valign="top" align="left">13&#x02013;14</td>
<td valign="top" align="center">90 (65.2%)</td>
<td valign="top" align="center">1,973 (64.9%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x02265;15</td>
<td valign="top" align="center">28 (20.3%)</td>
<td valign="top" align="center">599 (19.6%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pre-pregnancy BMI (kg/m<sup>2</sup>)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;18.5</td>
<td valign="top" align="center">8 (5.8%)</td>
<td valign="top" align="center">222 (7.3%)</td>
<td valign="top" align="center">0.647</td>
</tr>
<tr>
<td valign="top" align="left">18.5&#x02013;24.9</td>
<td valign="top" align="center">109 (79.0%)</td>
<td valign="top" align="center">2,301 (75.6%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x02265;25</td>
<td valign="top" align="center">21 (15.2%)</td>
<td valign="top" align="center">519 (17.1%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Weight gain during pregnancy pregnancy</td>
<td valign="top" align="center">15.1 &#x000B1; 5.8</td>
<td valign="top" align="center">14.4 &#x000B1; 5.2</td>
<td valign="top" align="center">0.169</td>
</tr>
<tr>
<td valign="top" align="left">The use of ART</td>
<td valign="top" align="center">111 (80.4%)</td>
<td valign="top" align="center">1,893 (62.2%)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Pregnancy-related variables</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">GDM</td>
<td valign="top" align="center">21 (15.2%)</td>
<td valign="top" align="center">523 (17.2%)</td>
<td valign="top" align="center">0.547</td>
</tr>
<tr>
<td valign="top" align="left">Hypertensive disorders</td>
<td valign="top" align="center">46 (33.3%)</td>
<td valign="top" align="center">542 (17.8%)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Placental abruption</td>
<td valign="top" align="center">4 (2.9%)</td>
<td valign="top" align="center">27 (0.9%)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Placenta previa</td>
<td valign="top" align="center">20 (14.5%)</td>
<td valign="top" align="center">24 (0.8%)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Placenta accreta</td>
<td valign="top" align="center">49 (35.5%)</td>
<td valign="top" align="center">221 (7.3%)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Placenta increta</td>
<td valign="top" align="center">8 (5.8%)</td>
<td valign="top" align="center">13 (0.4%)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Placenta Low-lying</td>
<td valign="top" align="center">9 (6.5%)</td>
<td valign="top" align="center">102 (3.4%)</td>
<td valign="top" align="center">0.056</td>
</tr>
<tr>
<td valign="top" align="left">Surgery-related variables</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PLT &#x0003C;70</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">10 (0.3%)</td>
<td valign="top" align="center">&#x0003E;0.999</td>
</tr>
<tr>
<td valign="top" align="left">HCT &#x0003C;30%</td>
<td valign="top" align="center">24 (17.4%)</td>
<td valign="top" align="center">336 (11.0%)</td>
<td valign="top" align="center">0.021<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Emergency operation</td>
<td valign="top" align="center">45 (32.6%)</td>
<td valign="top" align="center">879 (28.9%)</td>
<td valign="top" align="center">0.347</td>
</tr>
<tr>
<td valign="top" align="left">General anesthesia</td>
<td valign="top" align="center">8 (5.8%)</td>
<td valign="top" align="center">86 (2.8%)</td>
<td valign="top" align="center">0.064</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>All data are presented as the mean &#x000B1; standard deviation or n (%)</italic>.</p>
<fn id="TN1">
<label>a</label>
<p><italic>P values were calculated by t-tests and &#x003C7;<sup>2</sup> tests</italic>.</p></fn>
<fn id="TN2">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05</italic>,</p></fn>
<fn id="TN3">
<label>&#x0002A;&#x0002A;</label>
<p><italic>P &#x0003C; 0.01</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Associations Between Abnormal Fetal Growth and Risk of PPH</title>
<p>The associations of FGR or twin growth discordance with the risk of PPH are shown in <xref ref-type="table" rid="T2">Table 2</xref>. In general, both FGR and sFGR were not associated with PPH, while twin growth discordance was significantly associated with an increased risk of PPH. In the adjusted model, compared to mothers of concordant growth twins, the odds of PPH increased by 62% (OR = 1.62, 95% CI, 1.05&#x02013;2.51) for mothers of discordant twins. The co-presence of twin growth discordance and FGR was also significantly associated with an increased risk of PPH.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Logistic regression analysis for the associations between twin growth discordance, fetal growth restriction (FGR), and risk of PPH.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Crude model</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Adjusted model</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>p-</italic>value</bold></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value<sup><bold>a</bold></sup></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FGR in at least one twin (BW &#x0003C;10th)</td>
<td valign="top" align="center">0.71 (0.50, 1.01)</td>
<td valign="top" align="center">0.059</td>
<td valign="top" align="center">0.75 (0.51, 1.11)</td>
<td valign="top" align="center">0.151</td>
</tr>
<tr>
<td valign="top" align="left">FGR in at least one twin (BW &#x0003C;3rd)</td>
<td valign="top" align="center">1.02 (0.68, 1.53)</td>
<td valign="top" align="center">0.926</td>
<td valign="top" align="center">1.20 (0.78, 1.86)</td>
<td valign="top" align="center">0.408</td>
</tr>
<tr>
<td valign="top" align="left">sFGR</td>
<td valign="top" align="center">0.98 (0.65, 1.47)</td>
<td valign="top" align="center">0.918</td>
<td valign="top" align="center">1.13 (0.73, 1.75)</td>
<td valign="top" align="center">0.578</td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance</td>
<td valign="top" align="center">1.64 (1.10, 2.45)</td>
<td valign="top" align="center">0.015&#x0002A;</td>
<td valign="top" align="center">1.62 (1.05, 2.51)</td>
<td valign="top" align="center">0.031&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance plus FGR(BW &#x0003C;10th)</td>
<td valign="top" align="center">1.61 (1.06, 2.44)</td>
<td valign="top" align="center">0.025&#x0002A;</td>
<td valign="top" align="center">1.71 (1.08, 2.70)</td>
<td valign="top" align="center">0.022&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance plus FGR(BW &#x0003C;3rd)</td>
<td valign="top" align="center">1.65 (1.05, 2.58)</td>
<td valign="top" align="center">0.028&#x0002A;</td>
<td valign="top" align="center">1.98 (1.21, 3.25)</td>
<td valign="top" align="center">0.006&#x0002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Adjustment for Maternal age, pre-pregnancy BMI, gravidity, parity, gestational age at delivery, age at menarche, placental abruption, placenta previa, placenta accrete, placenta increta, placenta low-lying, premature rupture of membranes, HCT &#x0003C;30%, reduced platelet count (&#x0003C;70,000/&#x003BC;L), gestational hypertension, the use of ART, emergency operation, previous C-S, gestational diabetes mellitus, uterine myoma, prenatal fever, and twin chorionicity</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Association Between Fetal Growth Anomalies and Secondary Outcomes</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> presents the association of abnormal fetal growth with the risk of two secondary outcomes: PPH with SMM and PPH with hemostatic interventions. Similar to the results of PPH, both twin growth discordance and co-presence of twin growth discordance with FGR were associated with an increased risk of PPH with hemostatic interventions. In the adjusted model, compared to mothers of concordant growth twins, the odds of PPH with hemostatic interventions increased by 62% (OR = 1.62, 95% CI, 1.00&#x02013;2.63) in mothers of discordant twins. For PPH with SMM, only the co-presence of twin growth discordance with FGR (birth weight &#x0003C;3rd percentile) was associated with an increased risk of PPH with SMM (OR = 2.07; 95% CI, 1.17&#x02013;3.68).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>The Associations between twin growth discordance, fetal growth restriction (FGR), and secondary outcomes.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>PPH with SMM</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>PPH with hemostatic interventions</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FGR in at least one twin (BW &#x0003C;10th)</td>
<td valign="top" align="center">0.73 (0.47, 1.14)</td>
<td valign="top" align="center">0.730</td>
<td valign="top" align="center">0.75 (0.49, 1.14)</td>
<td valign="top" align="center">0.177</td>
</tr>
<tr>
<td valign="top" align="left">FGR in at least one twin (BW &#x0003C;3rd)</td>
<td valign="top" align="center">1.23 (0.74, 2.04)</td>
<td valign="top" align="center">0.429</td>
<td valign="top" align="center">1.26 (0.78, 2.03)</td>
<td valign="top" align="center">0.345</td>
</tr>
<tr>
<td valign="top" align="left">sFGR</td>
<td valign="top" align="center">1.15 (0.69, 1.91)</td>
<td valign="top" align="center">0.584</td>
<td valign="top" align="center">1.18 (0.73, 1.91)</td>
<td valign="top" align="center">0.493</td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance</td>
<td valign="top" align="center">1.51 (0.90, 2.51)</td>
<td valign="top" align="center">0.117</td>
<td valign="top" align="center">1.62 (1.00, 2.63)</td>
<td valign="top" align="center">0.049<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance plus FGR (BW &#x0003C;10th)</td>
<td valign="top" align="center">1.63 (0.95, 2.79)</td>
<td valign="top" align="center">0.074</td>
<td valign="top" align="center">1.70 (1.03, 2.80)</td>
<td valign="top" align="center">0.040<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance plus FGR (BW &#x0003C;3rd)</td>
<td valign="top" align="center">2.07 (1.17, 3.68)</td>
<td valign="top" align="center">0.013<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">2.02 (1.18, 3.47)</td>
<td valign="top" align="center">0.011<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Adjustment for Maternal age, pre-pregnancy BMI, gravidity, parity, gestational age at delivery, age at menarche, placental abruption, placenta previa, placental accrete, placental increta, placenta low-lying, premature rupture of membranes, HCT &#x0003C;30%, reduced platelet count (&#x0003C;70,000/&#x003BC;L), gestational hypertension, the use of ART, emergency operation, previous C-S, gestational diabetes mellitus, uterine myoma, prenatal fever, and twin chorionicity</italic>.</p>
<fn id="TN4">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Sensitivity Analysis</title>
<p>In the sensitivity analysis, when restricting the analysis to participating women without placenta accreta or placenta increta, the association between twin growth discordance or co-presence of twin growth discordance with FGR and PPH risk did not appreciably change. However, the 95% CIs for ORs became wider and the results were no longer statistically significant and the results were no longer statistically significant owing to a reduction in the sample size (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>The Association between intertwin growth discordance, fetal growth restriction (FGR), and PPH among participants without placenta accrete or placenta increta.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FGR in at least one twin (BW &#x0003C;10th)</td>
<td valign="top" align="center">0.69 (0.44, 1.09)</td>
<td valign="top" align="center">0.691</td>
</tr>
<tr>
<td valign="top" align="left">FGR in at least one twin (BW &#x0003C;3rd)</td>
<td valign="top" align="center">1.01 (0.60, 1.71)</td>
<td valign="top" align="center">0.967</td>
</tr>
<tr>
<td valign="top" align="left">sFGR</td>
<td valign="top" align="center">0.95 (0.56, 1.60)</td>
<td valign="top" align="center">0.837</td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance</td>
<td valign="top" align="center">1.59 (0.94, 2.69)</td>
<td valign="top" align="center">0.082</td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance plus FGR (BW &#x0003C;10th)</td>
<td valign="top" align="center">1.62 (0.94, 2.79)</td>
<td valign="top" align="center">0.083</td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance plus FGR (BW &#x0003C;3rd)</td>
<td valign="top" align="center">1.70 (0.95, 3.06)</td>
<td valign="top" align="center">0.074</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Adjustment for Maternal age, pre-pregnancy BMI, gravidity, parity, gestational age at delivery, age at menarche, placental abruption, placenta previa, placenta low-lying, premature rupture of membranes, HCT &#x0003C;30%, reduced platelet count (&#x0003C;70,000/&#x003BC;L), gestational hypertension, the use of ART, emergency operation, previous C-S, gestational diabetes mellitus, uterine myoma, prenatal fever, and twin chorionicity</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>We further stratified the participants by twin chorionicity and estimated the association of abnormal fetal growth with PPH in dichorionic and monochorionic twins separately. As shown in <xref ref-type="table" rid="T5">Table 5</xref>, among mothers of dichorionic twins, twin growth discordance and co-presence of twin growth discordance with FGR was significantly associated with an increased risk of PPH. However, among mothers of monochorionic twins, no significance was found.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>The Association between intertwin growth discordance, fetal growth restriction, and PPH stratified by chorionicity.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>DC</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>MC</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FGR in at least one twin (BW &#x0003C;10th)</td>
<td valign="top" align="center">0.84 (0.55, 1.29)</td>
<td valign="top" align="center">0.422</td>
<td valign="top" align="center">0.44 (0.17, 1.12)</td>
<td valign="top" align="center">0.085</td>
</tr>
<tr>
<td valign="top" align="left">FGR in at least one twin (BW &#x0003C;3rd)</td>
<td valign="top" align="center">1.35 (0.82, 2.22)</td>
<td valign="top" align="center">0.236</td>
<td valign="top" align="center">0.73 (0.28, 1.91)</td>
<td valign="top" align="center">0.519</td>
</tr>
<tr>
<td valign="top" align="left">sFGR</td>
<td valign="top" align="center">1.26 (0.77, 2.06)</td>
<td valign="top" align="center">0.366</td>
<td valign="top" align="center">0.70 (0.27, 1.83)</td>
<td valign="top" align="center">0.467</td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance</td>
<td valign="top" align="center">1.71 (1.04, 2.82)</td>
<td valign="top" align="center">0.036<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.61 (0.61, 4.23)</td>
<td valign="top" align="center">0.333</td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance plus FGR(BW &#x0003C;10th)</td>
<td valign="top" align="center">1.90 (1.13, 3.21)</td>
<td valign="top" align="center">0.016<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.36 (0.50, 3.70)</td>
<td valign="top" align="center">0.553</td>
</tr>
<tr>
<td valign="top" align="left">Twin growth discordance plus FGR(BW &#x0003C;3rd)</td>
<td valign="top" align="center">2.48 (1.41, 4.38)</td>
<td valign="top" align="center">0.002<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.22 (0.42, 3.53)</td>
<td valign="top" align="center">0.714</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Adjustment for Maternal age, pre-pregnancy BMI, gravidity, parity, gestational age at delivery, age at menarche, placental abruption, placenta previa, placenta accrete, placenta increta, placenta low-lying, premature rupture of membranes, HCT &#x0003C;30%, reduced platelet count (&#x0003C;70,000/&#x003BC;L), gestational hypertension, the use of ART, emergency operation, previous C-S, gestational diabetes mellitus, uterine myoma, and prenatal fever</italic>.</p>
<p><italic>DC, dichorionic; MC, monochorionic</italic>;</p>
<fn id="TN5">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<sec>
<title>Principal Findings</title>
<p>Our findings demonstrated that twin growth discordance or twin growth discordance complicated by FGR was associated with an increased risk of PPH, and the associations were much more evident in mothers of dichorionic twins than in mothers of monochorionic twins. However, we found no association between FGR and PPH. Our findings suggest that twin growth discordance is an independent risk factor for PPH.</p>
</sec>
<sec>
<title>Interpretation of the Findings</title>
<p>PPH is one of the leading causes of maternal morbidity and mortality worldwide (<xref ref-type="bibr" rid="B39">39</xref>&#x02013;<xref ref-type="bibr" rid="B42">42</xref>). Over the past few decades, many studies have focused on the predictors of PPH, and several factors have been reported to be associated with PPH (<xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). Several maternal risk-assessment tools, such as the California Maternal Quality Care Collaborative, the Association of Women&#x00027;s Health, Obstetric and Neonatal Nurses, and the New York Safety Bundle for Obstetric Hemorrhage, have also been developed to assess the risk of PPH (<xref ref-type="bibr" rid="B43">43</xref>). Compared to singleton gestations, PPH is more common in twin pregnancies, as uterine overdistention may impair the contraction of uterine muscles and increase the incidence of uterine atony after delivery (<xref ref-type="bibr" rid="B44">44</xref>). To date, no study has examined the association between FGR and PPH in twins. However, in singleton pregnancies, a study has reported that women with pregnancies complicated by both preeclampsia and FGR are more likely to experience abruption, have a higher rate of cesarean delivery, and undergo cesarean delivery for fetal heart rate abnormalities, but not for PPH (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<p>Growth discordance is a proprietary feature of twin pregnancies, and it is one of the major determinants of perinatal outcomes in twin pregnancies (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Here, the overall incidence rate was approximately 16.9%, which is consistent with the results of previous studies (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Higher degrees of discordance are known to be associated with perinatal mortality and morbidity (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x02013;<xref ref-type="bibr" rid="B15">15</xref>). A study has shown that a within-pair birth weight difference of &#x0003E;25% increases the risk of both intra-uterine death and neonatal death (<xref ref-type="bibr" rid="B13">13</xref>). However, whether there is a correlation between twin growth discordance and PPH remains unknown. To the best of our knowledge, this is the first report on the association between growth discordance and PPH in women with twin pregnancies.</p>
<p>The underlying mechanism between twin growth discordance and PPH is unclear. A potential mechanism may involve the notion that growth discordance increases the risk of preeclampsia or hypertension (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B32">32</xref>), which are important risk factors for PPH (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Interestingly, in our study, after adjusting for hypertensive disorders, we found that the association between twin growth discordance and PPH remained significant. Another possible explanation for the observed association is that twin growth discordance and PPH may have some common risk factors. Known risk factors for twin growth discordance are advanced maternal age and parity, conception by ART, maternal hypertensive disorders in pregnancy, opposite sex of twin fetuses, and exposure to air pollution during pregnancy (<xref ref-type="bibr" rid="B46">46</xref>&#x02013;<xref ref-type="bibr" rid="B48">48</xref>). These can be categorized as maternal, fetal, placental, or environmental risk factors. Among these factors, advanced maternal age and parity, conception by ART, and maternal hypertensive disorders are also risk factors for PPH (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B49">49</xref>). Other pathophysiological mechanisms include histological placenta and inflammatory responses (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B50">50</xref>). Frequently, histological abnormalities in placentas were found among smaller twins of birth weight discordant pairs (<xref ref-type="bibr" rid="B50">50</xref>). Oxidative stress and apoptosis in the placenta may result from the increased demand imposed by twins and from placental ischemia/hypoxia, leading to growth discordance (<xref ref-type="bibr" rid="B51">51</xref>). Additionally, various active molecules released into the maternal circulation due to placental ischemia/hypoxia causes vasoconstriction and an increase in blood pressure, and this is due to generalized endothelial dysfunction and an exaggerated inflammatory response (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>We also found that the relationship between growth discordance and PPH existed only among mothers of dichorionic twins but not among those with monochorionic twins. Fetal growth during gestation is generally determined by fetal, maternal, and uterine placental factors. Discordant growth among dichorionic twins may be due to the poor ability of the smaller twin to realize its growth potential, which commonly suggests a pathological condition, such as placental vascular dysfunction. For monochorionic twins, the cause of discordant growth is related to unequal distribution of uteroplacental blood flow between two fetuses, abnormal umbilical cord insertion site, and critically by twin-to-twin transfusion syndrome, while factors related to placental histology are rare (<xref ref-type="bibr" rid="B52">52</xref>&#x02013;<xref ref-type="bibr" rid="B55">55</xref>). In a prospective study of 1,001 twin pairs, an association between abnormalities in placental histology and birth weight discordance was found in dichorionic twins, but not in monochorionic twins (<xref ref-type="bibr" rid="B50">50</xref>). Similarly, another study showed that excess placental apoptosis and changes in the synthesis of various trophoblastic proteins were found in discordant dichorionic twins (<xref ref-type="bibr" rid="B51">51</xref>). The incidence of preeclampsia in women with dichorionic pregnancies is much higher than that in women with monochorionic twins (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). Qiao et al. reported that twin growth discordance was associated with a high risk of preeclampsia among women with dichorionic twins (<xref ref-type="bibr" rid="B32">32</xref>). All of the above factors may partially explain the relationship between growth discordance and PPH in the dichorionic twin group. Compared to singleton gestation, twin gestation increased the risk of placenta accreta spectrum (including placenta accreta, increta, and percreta) independent of measured risk factors (<xref ref-type="bibr" rid="B58">58</xref>). Besides, in twin pregnancies, the assisted reproductive technology is independently associated with placenta accreta spectrum (<xref ref-type="bibr" rid="B59">59</xref>). Based on the above reasons, the incidence of placenta accreta spectrum is higher in twins. This may explain why the association between twin growth discordance or twin growth discordance complicated by FGR and PPH was not apparent when we excluded these twins with placenta accreta spectrum.</p>
</sec>
<sec>
<title>Strengths and Limitations</title>
<p>This study is the first report on the relationship between growth discordance and PPH. Another strength of our study is the relatively large sample size from a single center. However, our study has several limitations. First, it only included twin pregnancies delivered <italic>via</italic> cesarean section. Due to physician counseling and maternal requirements for selective cesarean section to avoid combined delivery, the cesarean delivery rate of twin pregnancies has increased dramatically (<xref ref-type="bibr" rid="B60">60</xref>&#x02013;<xref ref-type="bibr" rid="B62">62</xref>). In our center, nearly 90% of women with twin pregnancies undergo a cesarean section. During a cesarean section, the amniotic fluid is absorbed, and another aspirator is used to absorb blood, and this accurately measures the estimated amount of blood loss; however, it is impossible to accurately estimate the blood loss in vaginal deliveries. Second, due to the lack of unified international standard for the diagnosis of FGR in twins, we used the singleton birth weight standards as the diagnostic criteria of FGR. Recently, twin-specific charts were recommended when evaluating fetal growth in twin pregnancies in some studies (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B63">63</xref>). However, pathological growth tracks and at-risk fetuses may be obscured by twin-specific growth charts. Finally, although we adjusted for various confounders, some unmeasured confounders may invalidate the association between growth discordance and PPH.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>We found that twin growth discordance, rather than FGR, was associated with an increased risk of PPH. Our findings suggest that twin growth discordance is an independent risk factor for PPH. This signals obstetricians and midwives to implement early preventative strategies for PPH among mothers of growth discordant twins.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<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">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committee of Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>XC, YL, and SZ: full access to all of the data in the study, take responsibility for the integrity of the data, the accuracy of the data analysis, and drafting of the manuscript. XC and ZX: concept and design. XC, YL, SZ, XQ, and ZX: critical revision of the manuscript for important intellectual content. QZ and ZX: statistical analysis. YL, QZ, and XQ: administrative, technical, or material support. ZX and ZL: supervision. All authors: acquisition, analysis, or interpretation of data.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by the grants of Pudong Health Committee of Shanghai (PW2021D-01 and PW2020D-13).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack><p>We would like to thank Yan Zhao from the Department of Women &#x00026; Children&#x00027;s Health Care, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University Shanghai, China, for the support provided in the statistical analysis.</p>
</ack>
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</ref-list>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>ART</term>
<def><p>assisted reproductive technology</p></def></def-item>
<def-item><term>FGR</term>
<def><p>fetal growth restriction</p></def></def-item>
<def-item><term>PPH</term>
<def><p>Postpartum hemorrhage</p></def></def-item>
<def-item><term>SMM</term>
<def><p>severe maternal morbidity</p></def></def-item>
<def-item><term>OR</term>
<def><p>odds ratio</p></def></def-item>
<def-item><term>CI</term>
<def><p>confidence interval</p></def></def-item>
<def-item><term>sFGR</term>
<def><p>selective fetal growth restriction.</p></def></def-item>
</def-list>
</glossary>
</back>
</article>