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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2021.676994</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pediatrics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence of Growth Restriction at Birth for Newborns With Congenital Heart Defects: A Population-Based Prospective Cohort Study EPICARD</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ghanchi</surname> <given-names>Ali</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="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/985142/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rahshenas</surname> <given-names>Makan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1289749/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bonnet</surname> <given-names>Damien</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Derridj</surname> <given-names>Neil</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>LeLong</surname> <given-names>Nathalie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1290124/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Salomon</surname> <given-names>Laurent J.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Goffinet</surname> <given-names>Francois</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Khoshnood</surname> <given-names>Babak</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/539233/overview"/>
</contrib>
<on-behalf-of>EPICARD Study Group</on-behalf-of>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Universit&#x000E9; de Paris, CRESS, INSERM, INRA</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff2"><sup>2</sup><institution>Service d&#x00027;Obst&#x000E9;trique - Maternit&#x000E9;, Chirurgie M&#x000E9;decine et Imagerie F&#x00153;tales. APHP. H&#x000F4;pital Necker Enfants Malades</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pediatric Cardiology, M3C-Necker. APHP. H&#x000F4;pital Necker-Enfants Malades</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff4"><sup>4</sup><institution>University of Paris</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff5"><sup>5</sup><institution>Port-Royal Maternity Unit, Cochin Hospital, APHP</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Henrique Barros, University of Porto, Portugal</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Lama Charafeddine, American University of Beirut, Lebanon; Jean-Christophe Mercier, Universit&#x000E9; de Paris, France</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Ali Ghanchi <email>ali.ghanchi&#x00040;aphp.fr</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to General Pediatrics and Pediatric Emergency Care, a section of the journal Frontiers in Pediatrics</p></fn></author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>05</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>676994</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>03</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>04</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Ghanchi, Rahshenas, Bonnet, Derridj, LeLong, Salomon, Goffinet and Khoshnood.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Ghanchi, Rahshenas, Bonnet, Derridj, LeLong, Salomon, Goffinet and Khoshnood</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract><p><bold>Background and Objectives:</bold> Congenital heart defects (CHD) and growth restriction at birth are two major causes of childhood and adult morbidity and mortality. The aim of this study was to assess the overall risk of growth restriction at birth, as measured by its imperfect proxy small (&#x0003C; 10th percentile) for gestational age (SGA), for newborns with CHD.</p>
<p><bold>Methods:</bold> Using data from a population-based cohort of children born with CHD, we assessed the risk of growth restriction at birth using SGA and severe SGA (3rd percentile). To compare the odds of SGA and severe SGA across five specific major CHD, we used ordinal logistic regression using isolated, minor (non-operated) ventricular septal defect (VSD) as the control group.</p>
<p><bold>Results:</bold> The overall proportion of SGA for &#x0201C;isolated&#x0201D; CHD (i.e., those not associated with other anomalies) was 13% (95% CI, 12&#x02013;15%), which is 30% higher than what would be expected in the general population (i.e., 10%). The risk of severe SGA was 5% (95% CI, 4&#x02013;6%) as compared with the expected 3% in the general population. There were substantial differences in the risk of overall SGA and more so severe SGA across the different CHD. The highest risk of SGA occurred for Tetralogy of Fallot (adjusted OR 2.7, 95% CI, 1.3&#x02013;5.8) and operated VSD (adjusted OR 2.1, 95% CI, 1.1&#x02013;3.8) as compared with the control group of minor (non-operated) VSD.</p>
<p><bold>Conclusion:</bold> The overall risks of both SGA and severe SGA were higher in isolated CHD than what would be expected in the general population with substantial differences across the subtypes of CHD. These results may provide a clue for understanding the underlying mechanisms of the relation between alterations in fetal circulation associated with different types of CHD and their effects on fetal growth.</p></abstract>
<kwd-group>
<kwd>small for gestational age</kwd>
<kwd>congenital heart defects</kwd>
<kwd>population-based cohort</kwd>
<kwd>prevalence</kwd>
<kwd>ordinal logistic regression</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="28"/>
<page-count count="6"/>
<word-count count="4489"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Congenital heart defects (CHD) are the most frequent group of congenital anomalies with a prevalence of about 1% of all births (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Newborns with CHD are at a higher risk of growth restriction at birth (<xref ref-type="bibr" rid="B3">3</xref>&#x02013;<xref ref-type="bibr" rid="B5">5</xref>). The latter may be an independent risk factor for adverse outcomes in newborns with CHD (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>By far most of the previous studies that investigated the relation between CHD and growth restriction were hospital-based and population-based studies remain rare (<xref ref-type="bibr" rid="B3">3</xref>). Some of the literature has the shortcoming of including CHD associated with chromosomal or other anomalies without separate analyses of &#x0201C;isolated&#x0201D; CHD (not associated with chromosomal or other anomalies). Hence, the effects associated with the CHD <italic>per se</italic> are not always clear. Moreover, the specific effects of different types of CHD on the risk of growth restriction has not been adequately studied. Such an analysis may provide clues about the possible underlying mechanisms of the associations between CHD and growth restriction.</p>
<p>We used data from a population-based, prospective cohort study of more than 2,000 newborns with CHD to: (i) Assess the overall risk of growth restriction at birth for newborns with isolated CHD and to: (ii) Compare the risk and severity of growth restriction for five major types of CHD.</p></sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Data Source</title>
<p>The EPICARD study was a population based prospective cohort of children born with CHD in the Greater Paris area (Paris and its surrounding suburbs) of France carried out between 2005 and 2008.</p>
<p>All cases (live births, terminations of pregnancy for fetal anomaly, TOPFA and fetal deaths) diagnosed prenatally or up to 1 year of age were eligible for inclusion. Diagnoses of CHD and associated comorbidities (i.e., genetic, extra cardiac anomalies and/or syndromes) were confirmed by specialized pediatric cardiologists. Detailed description of the EPICARD cohort has been provided elsewhere (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>From the EPICARD cohort of all live births (<italic>N</italic> = 2,348), we excluded 112 multiple pregnancies and ten subjects with missing data on birthweight and/or gestational age. Newborns with chromosomal anomalies (<italic>n</italic> = 142) or anomalies of other systems and/or genetic syndromes (<italic>n</italic> = 295) were also excluded from the study population. Our final study population comprised 1,789 singleton newborns with isolated CHD and known birthweight and gestational age (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Selection of study population from the EPICARD Cohort of live birth born with all CHD. CHD, congenital heart defects; BW, birth weight; GA, gestational age.</p></caption>
<graphic xlink:href="fped-09-676994-g0001.tif"/>
</fig></sec>
<sec>
<title>Outcome and Predictor Variables</title>
<p>The outcome variable, Small for Gestational Age (SGA) was defined as sex- and gestational age-specific birthweight &#x0003C;10th percentile based on the EPOP&#x000E9; population-based growth curves (<xref ref-type="bibr" rid="B7">7</xref>). We defined severe SGA using the cut-off birthweight &#x0003C;3rd percentile and Intermediate SGA as birthweights between the 3rd &#x0003C; 10th percentiles. Not -SGA was defined based on birthweight &#x02265; 10th percentile (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>The main predictor variable of interest was type of CHD. We also took into account a set of potentially confounding variables including maternal diabetes, hypertension, smoking, maternal age, geographic origin, parity, prenatal diagnosis, infertility treatments, sex and preterm (&#x0003C; 37 weeks) delivery.</p></sec>
<sec>
<title>Statistical Analysis</title>
<p>As the outcome variable comprised ordered outcomes (severe SGA/intermediate SGA/Not SGA) we used ordinal logistic regression for the statistical analysis. The proportional odds assumption for the ordinal logit models was tested and the models were found to be consistent with a proportional odds model.</p>
<p>The proportional odds model considers the cumulative probability of an individual event and all other events that are ordered before it (<xref ref-type="boxed-text" rid="Box1">Box 1</xref>) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Whereas, binary logistic regression uses the logit (log odds) function, ordinal logistic regression uses the logit transformation of the cumulative odds. In the proportional odds logit model, the slopes that correspond to the model coefficients are parallel to one another and the odds for each cut-off category differ only with regards to the intercept (<xref ref-type="boxed-text" rid="Box1">Box 1</xref>). The &#x003C7;<sup>2</sup>-test for the proportional odds assumption suggested that this was a reasonable assumption in the case of our models.</p>
<boxed-text id="Box1">
<label>Box 1</label>
<title>Ordinal logistic regression (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>).</title>
<p><inline-formula><mml:math id="M1"><mml:mi>C</mml:mi><mml:mi>u</mml:mi><mml:mi>m</mml:mi><mml:mi>u</mml:mi><mml:mi>l</mml:mi><mml:mi>a</mml:mi><mml:mi>t</mml:mi><mml:mi>i</mml:mi><mml:mi>v</mml:mi><mml:mi>e</mml:mi><mml:mtext>&#x000A0;&#x000A0;</mml:mtext><mml:mi>O</mml:mi><mml:mi>d</mml:mi><mml:mi>d</mml:mi><mml:mi>s</mml:mi><mml:mtext>&#x000A0;&#x000A0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>Y</mml:mi><mml:mo>&#x02264;</mml:mo><mml:mi>j</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi>P</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>Y</mml:mi><mml:mo>&#x02264;</mml:mo><mml:mi>j</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>-</mml:mo><mml:mi>P</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>Y</mml:mi><mml:mo>&#x02264;</mml:mo><mml:mi>j</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow></mml:mfrac><mml:mtext>&#x000A0;&#x000A0;</mml:mtext></mml:math></inline-formula> <italic>, j</italic> = <italic>1,&#x02026;,k</italic></p>
<p>and in <italic>logit</italic> form :</p>
<p><inline-formula><mml:math id="M2"><mml:mi>l</mml:mi><mml:mi>o</mml:mi><mml:mi>g</mml:mi><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>Y</mml:mi><mml:mo>&#x02264;</mml:mo><mml:mi>j</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mo class="qopname">ln</mml:mo><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mfrac><mml:mrow><mml:mi>P</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>Y</mml:mi><mml:mo>&#x02264;</mml:mo><mml:mi>j</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>-</mml:mo><mml:mi>P</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>Y</mml:mi><mml:mo>&#x02264;</mml:mo><mml:mi>j</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow></mml:mfrac></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> <italic>, j</italic> = <italic>1,&#x02026;,k</italic></p>
<p><inline-formula><mml:math id="M3"><mml:mi>l</mml:mi><mml:mi>o</mml:mi><mml:mi>g</mml:mi><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>Y</mml:mi><mml:mo>&#x02264;</mml:mo><mml:mi>j</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mi>j</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msup><mml:mrow><mml:mi>X</mml:mi></mml:mrow><mml:mrow><mml:mi>&#x02032;</mml:mi></mml:mrow></mml:msup><mml:mi>&#x003B2;</mml:mi></mml:math></inline-formula></p>
<p>Where:</p>
<p><italic>P</italic>(<italic>Y</italic> &#x02264; <italic>j</italic>) &#x0003D; <italic>P</italic><sub>1</sub> &#x0002B; <italic>P</italic><sub>2</sub> &#x0002B; &#x02026; &#x0002B; <italic>P</italic><sub><italic>j</italic></sub> is the cumulative probability of the event</p>
<p>&#x003B1;<sub><italic>j</italic></sub>: intercept parameters</p>
<p>&#x003B2; &#x0003D; (&#x003B2;<sub>1</sub>, &#x003B2;<sub>2</sub>, &#x02026;, &#x003B2;<sub>3</sub>): a vector of unknown regression coefficients.</p>
</boxed-text>
<p>The statistical significance level was set at &#x003B1; = 0.05 and all analyses were done using Stata v15.1 software (StataCorp LP, College Station, TX, USA).</p>
<p>Ethics approval was obtained from the CNIL (Commission nationale de l&#x00027;informatique et des libert&#x000E9;s) (<xref ref-type="bibr" rid="B6">6</xref>).</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p><xref ref-type="table" rid="T1">Table 1</xref> shows characteristics of the study population. Overall, 1,789 newborns with isolated CHD (not associated with chromosomal or other anomalies) were included in the study population. Of those, 47% were boys and 11% born preterm. Approximately 3% of women reported smoking during pregnancy, 1% had diabetes and 1% reported illicit drug use. Maternal age was 35 years or older for one quarter of women. One half of women were of French origin and 19% of North African origin. Approximately 7% of the study population were born after infertility treatments and 17% had a prenatal diagnosis of the CHD.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristics of the study population: EPICARD Study.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><italic><bold>N</bold></italic></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Male</td>
<td valign="top" align="center">847</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">45&#x02013;50</td>
</tr>
<tr>
<td valign="top" align="left">Preterm birth (&#x0003C; 37 weeks)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">192</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">9&#x02013;12</td>
</tr>
<tr>
<td valign="top" align="left">Smoking during pregnancy</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2&#x02013;4</td>
</tr>
<tr>
<td valign="top" align="left">Maternal diabetes</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1&#x02013;2</td>
</tr>
<tr>
<td valign="top" align="left">Maternal illicit drug use</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0&#x02013;1</td>
</tr>
<tr>
<td valign="top" align="left">Maternal age</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x0003C; 29</td>
<td valign="top" align="center">675</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">36&#x02013;40</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;30-34</td>
<td valign="top" align="center">650</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">34&#x02013;39</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;35-39</td>
<td valign="top" align="center">343</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">18&#x02013;21</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x0003E; 40</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">5&#x02013;7</td>
</tr>
<tr>
<td valign="top" align="left">Parity</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;0</td>
<td valign="top" align="center">638</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">34&#x02013;38</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;1</td>
<td valign="top" align="center">545</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">29&#x02013;33</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x0003E; 2</td>
<td valign="top" align="center">595</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">31&#x02013;36</td>
</tr>
<tr>
<td valign="top" align="left">Maternal geographic origin</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;France</td>
<td valign="top" align="center">907</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">49&#x02013;53</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;North Africa</td>
<td valign="top" align="center">330</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">17&#x02013;20</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Sub Saharan Africa</td>
<td valign="top" align="center">217</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">11&#x02013;14</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Other</td>
<td valign="top" align="center">329</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">17&#x02013;20</td>
</tr>
<tr>
<td valign="top" align="left">Maternal high blood pressure</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1&#x02013;2</td>
</tr>
<tr>
<td valign="top" align="left">Prenatal diagnosis of CHD</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">313</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">16&#x02013;19</td>
</tr>
<tr>
<td valign="top" align="left">Assisted reproductive technologies</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">124</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">6&#x02013;8</td>
</tr>
<tr>
<td valign="top" align="left">Small for gestational age</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Normal</td>
<td valign="top" align="center">1,554</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">85&#x02013;88</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0; &#x0003C; 10th percentile</td>
<td valign="top" align="center">235</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">12&#x02013;15</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;3rd&#x02212;10th percentile</td>
<td valign="top" align="center">142</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">7&#x02013;9</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0; &#x0003C; 3rd percentile</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">4&#x02013;6</td>
</tr>
<tr>
<td valign="top" align="left">Birth weight (gr)</td>
<td valign="top" align="center"><italic>Mean</italic></td>
<td valign="top" align="center"><italic>SD</italic></td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">3,175</td>
<td valign="top" align="center">618.71</td>
<td valign="top" align="center">3,147&#x02013;3,204</td>
</tr>
<tr>
<td valign="top" align="left">Total number of patients</td>
<td valign="top" align="center">1,789</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p><xref ref-type="table" rid="T2">Table 2</xref> shows the proportions of SGA and severe SGA for isolated CHD and isolated specific CHD. The prevalence of SGA for isolated CHD was 13% (95%CI 12&#x02013;15%) and 5% (95%CI 4&#x02013;6%) for severe SGA. For specific CHD, SGA, ranged from 10% (95% CI 9&#x02013;12%) for minor non-operated VSD to 26% (95% CI 16&#x02013;40%) for Tetralogy of Fallot (ToF). Severe SGA proportions for specific CHD ranged from 4% (95% CI 3&#x02013;5%) for non-operated VSD to 17% (95% CI 9&#x02013;31%) for the ToF.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Proportions of SGA (&#x0003C;10th percentile), intermediate SGA (&#x02265; 3rd percentile &#x0003C;10th percentile), and severe SGA (&#x0003C;3rd percentile) for all isolated CHD, major isolated CHD, and isolated specific CHD.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>SGA</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Intermediate SGA</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Severe SGA</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Total</bold></th>
<th valign="top" align="center"><italic><bold>N</bold></italic></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
<th valign="top" align="center"><italic><bold>N</bold></italic></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
<th valign="top" align="center"><italic><bold>N</bold></italic></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All isolated CHD</td>
<td valign="top" align="center">1,789</td>
<td valign="top" align="center">235</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">12&#x02013;15</td>
<td valign="top" align="center">142</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">7&#x02013;9</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">4&#x02013;6</td>
</tr>
<tr>
<td valign="top" align="left">All isolated major CHD</td>
<td valign="top" align="center">493</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">13&#x02013;19</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">8&#x02013;13</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">4&#x02013;8</td>
</tr>
<tr>
<td valign="top" align="left">Specific isolated CHD</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">ToF</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">16&#x02013;40</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">5&#x02013;24</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">8&#x02013;28</td>
</tr>
<tr>
<td valign="top" align="left">TGA</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">6&#x02013;21</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">5&#x02013;19</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0&#x02013;9</td>
</tr>
<tr>
<td valign="top" align="left">CoA</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">10&#x02013;28</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">4&#x02013;18</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">4&#x02013;18</td>
</tr>
<tr>
<td valign="top" align="left">FUH</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">9&#x02013;36</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">3&#x02013;24</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">4&#x02013;27</td>
</tr>
<tr>
<td valign="top" align="left">Operated VSD</td>
<td valign="top" align="center">128</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">15&#x02013;29</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">8&#x02013;20</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">5&#x02013;15</td>
</tr>
<tr>
<td valign="top" align="left">Non-Operated VSD</td>
<td valign="top" align="center">1,063</td>
<td valign="top" align="center">113</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">9&#x02013;13</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">5&#x02013;8</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3&#x02013;6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>CHD, congenital heart defects; CoA, coarctation of the aorta; FUH, functionally univentricular heart; SGA, small for gestational age; TGA, transposition of the great arteries; ToF, Tetralogy of Fallot; VSD, ventricular septal defects</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T3">Table 3</xref> shows the results of the ordinal logistic regression analysis for the five different types of CHD. There were substantial differences in the odds of both intermediate SGA and severe SGA across the five specific CHD.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Odds ratios of SGA (severe and intermediate vs. normal) for different types of isolated CHD by ordinal logistic regression.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Crude odds ratio</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
<th valign="top" align="center"><bold>Adjusted odds ratio<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;&#x0002A;</sup></xref></bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Minor ventricular septal defect (VSD)</td>
<td valign="top" align="center">Reference</td>
<td/>
<td valign="top" align="center">Reference</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Operated ventricular septal defect (VSD)</td>
<td valign="top" align="center">2.8</td>
<td valign="top" align="center">1.6&#x02013;4.8</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">1.1&#x02013;3.8</td>
</tr>
<tr>
<td valign="top" align="left">Univentricular heart (UVH)</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">0.9&#x02013;5.1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">0.7&#x02013;5.5</td>
</tr>
<tr>
<td valign="top" align="left">Tetralogy of Fallot (ToF)</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">1.7&#x02013;6.2</td>
<td valign="top" align="center">2.7</td>
<td valign="top" align="center">1.3&#x02013;5.8</td>
</tr>
<tr>
<td valign="top" align="left">Transposition of great arteries (TGA)</td>
<td valign="top" align="center">1.1</td>
<td valign="top" align="center">0.5&#x02013;2.2</td>
<td valign="top" align="center">1.1</td>
<td valign="top" align="center">0.5&#x02013;2.5</td>
</tr>
<tr>
<td valign="top" align="left">Coarctation of the aorta (CoA)</td>
<td valign="top" align="center">1.8</td>
<td valign="top" align="center">0.9&#x02013;3.4</td>
<td valign="top" align="center">1.4</td>
<td valign="top" align="center">0.6&#x02013;3.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>&#x0002A;&#x0002A;</label><p><italic>Adjusted on diabetes, maternal high blood pressure, maternal smoking during pregnancy, maternal geographic origin, parity, prenatal diagnosis, assisted reproductive therapy, gender and prematurity</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In particular, the odds of overall and severe SGA were substantially higher for operated VSD and for ToF as compared with minor non-operated VSD; the adjusted odds ratios from the ordinal logit model were 2.1 (95% CI, 1.1&#x02013;3.8) and 2.7 (95% CI, 1.3&#x02013;5.8) for operated VSD and ToF, respectively.</p></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Using population-based data from a large prospective cohort of children born with isolated CHD, we found that the overall prevalence of SGA was 13% and that of severe SGA 5%, both of which are higher than the expected proportions in the general population, 10 and 3%, respectively, based on the EPOP&#x000E9; population-based growth curves in France (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>We also found important differences in the probability of SGA and of severe SGA across the different types of CHD. In particular, VSD, which required surgery and Tetralogy of Fallot were associated with two- to three-folds higher odds of both intermediate and severe SGA, whereas minor VSD that did not require surgery was not associated with any significant increase in the risk of SGA as compared with the expected proportions in the general population. Whereas, newborns with SGA as a whole may include those who are constitutionally small, our findings were similar when we looked at severe SGA (birthweight &#x0003C;3rd percentile) and the latter is considered, by definition, to represent growth restriction at birth (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Our findings on the overall proportion of SGA for isolated CHD are comparable with a previous systematic review (<xref ref-type="bibr" rid="B3">3</xref>). However, previous data summarized in this systematic review did not allow estimates for severe SGA or for comparison of proportions of SGA across different types of CHD. Variations in the proportions of SGA and severe SGA for different CHD as reported in our study may provide insights into the pathophysiological mechanisms that link CHD with growth restriction at birth.</p>
<p>Two potential mechanisms may explain the relation between CHD and growth restriction at birth in general and in the case of differences across various types of CHD in particular. These include altered fetal hemodynamics and placental anomalies.</p>
<p>Matthieson et al. studied placental weight z scores in a Danish cohort of 7,569 children with CHD. They found that ToF and major VSD had lower placental weight which was in turn correlated with reduced birth weight and head circumference z scores (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>Jones et al. found increased placental leptin secretion in children born with hypoplastic left heart syndrome and SGA (<xref ref-type="bibr" rid="B14">14</xref>). They argued that placental insufficiency results in SGA through reduced angiogenesis, which in turn reduces the surface area for gaseous exchange.</p>
<p>There may also be common etiological factors that cause both CHD and placental anomalies. Nitric oxide synthase (NOS) deficiency may be the common etiological factor that results in both CHD and fetal growth restriction. Liu et al. found that NOS was important in fetal heart development with deficiencies resulting in CHD (<xref ref-type="bibr" rid="B15">15</xref>). Other studies have shown that endothelial NOS may play an important role in fetal growth (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Another possible mechanism is that alterations in blood flow circulation, result in differential perfusion and/or oxygen supply in the fetal body, which may in turn cause growth restriction in certain types of CHD but not necessarily others.</p>
<p>Wallenstein et al. found that CHD are associated with growth restriction and based on previous works by Rizzo et al. and Lutin et al., they argued that decreased ventricular output results in SGA but this may only occur in CHD with altered ventricular function (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Using cardiovascular magnetic resonance, Al Nafsi et al. found that superior vena cava blood flow varied in left sided CHD compared to controls without CHD (<xref ref-type="bibr" rid="B20">20</xref>). Story et al. also found differences in the proportion of SGA in specific CHD, notably 13% SGA in TGA, 17% SGA in CoA and 26% SGA in ToF (results similar to those in our study) (<xref ref-type="bibr" rid="B5">5</xref>). The authors hypothesized that growth restriction for ToF was due to decreased fetal blood flow and hence reduced oxygenation. This may only be true however, in case of fetal heart failure or when the arterial duct is absent or closed. They also reported that newborns with CoA have decreased overall birthweight and length but normal head circumference and a greater head volume to birthweight ratio. The latter may be due to decreased caudal blood flow (without a decrease in oxygen saturation.</p>
<p>Donfrio et al. used Doppler ultra sound to demonstrate that decreased blood oxygenation due to abnormal fetal hemodynamics results in enhanced cerebral blood perfusion (brain sparing effect) as an adaptive compensatory mechanism in single ventricle defects (hypolastic left and right syndromes) (<xref ref-type="bibr" rid="B21">21</xref>). However, enhanced cerebral perfusion occurs at the expense of fetal liver, renal, pancreatic and mesenteric circulation, which in turn results in decreased production of insulin growth factor, angiotensin and other endocrine hormones essential for fetal growth (<xref ref-type="bibr" rid="B22">22</xref>). These hormones may affect the fetal growth directly as is the case of insulin growth factor or indirectly via placental function (e.g., renin-angiotensin system), inducing an inflammatory response or through other biomolecular pathways (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Alternatively, abnormal fetal hemodynamics may affect the placenta resulting in SGA either through elevated fetoplacental vascular resistance due to placental ischemia or by fetoplacental endothelial dysregulation which plays a key role in tempering inflammatory regulators and nutrient exchange (<xref ref-type="bibr" rid="B25">25</xref>). Nevertheless, in general, the underlying pathophysiological mechanisms of the associations (or lack thereof) between CHD and the risk of growth restriction are complex and most likely involve multifactorial causal pathways and compensatory mechanisms that are not completely understood. Moreover, in addition to the placental and fetal hemodynamic mechanisms, there are also genetic and epigenetics factors related to the risk of growth restriction with CHD (<xref ref-type="bibr" rid="B26">26</xref>&#x02013;<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Our study has certain limits. Our study was not designed and cannot disentangle the possible mechanisms that may explain our empirical findings. Indeed, investigation of the possible underlying mechanisms of the relation between CHD and fetal growth were beyond the scope or ambition of our study.</p>
<p>In addition, even if data were from a large, population-based of newborns with CHD, the number of cases for individual specific CHD was relatively small, which resulted in reduced precision in our estimates, particularly for the fortunately less common severe SGA outcomes. However, by using the ordinal logit model, which allowed looking at both severe and intermediate SGA outcomes in the same model, we were able to increase the statistical power of our study, including for severe SGA outcome (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>).</p>
<sec>
<title>Conclusion</title>
<p>Congenital heart defects are associated with a higher risk of growth restriction at birth, including a higher risk of severe growth restriction.</p>
<p>The risk of growth restriction was substantially higher for certain types of CHD, notably operated ventricular septal defects and the Tetralogy of Fallot. The underlying mechanisms of the relation between CHD and growth restriction at birth may be hypoxia and alternations in blood perfusion in the fetus. In addition, placenta is likely to play an important role in the causal links between CHD and fetal growth restriction. Future studies are needed to disentangle the underlying mechanisms, including genetic and epigenetic factors that may explain the higher risk of growth restriction for newborns with congenital heart defects.</p></sec></sec>
<sec sec-type="data-availability-statement" id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p></sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by CNIL (French National Committee of information and Liberty). Written informed consent to participate in this study was provided by the participants&#x00027; legal guardian/next of kin.</p></sec>
<sec id="s7">
<title>Epicard Study Group</title>
<p>Principal Investigators: Fran&#x000E7;ois Goffinet, Babak Khoshnood.</p>
<p>Steering Committee: Damien Bonnet (H&#x000F4;pital Necker Enfants Malades, AP-HP, Center de r&#x000E9;f&#x000E9;rence M3C, Universit&#x000E9; Paris Descartes, Paris), Johanna Calderon (INSERM U1153), Drina Candilis (Universit&#x000E9; Paris-Diderot, Paris), Anne-Lise Delezoide (H&#x000F4;pital Robert Debr&#x000E9;, AP-HP, Service de biologie du D&#x000E9;veloppement, Universit&#x000E9; Paris-Diderot, Paris), Catherine De Vigan (INSERM 1153, Paris), Fran&#x000E7;ois Goffinet (Groupe Hospitalier Cochin-H&#x000F4;tel Dieu, AP-HP, Maternit&#x000E9; Port-Royal et INSERM U953, Universit&#x000E9; Paris Descartes, Paris), Lucile Houyel (H&#x000F4;pital Marie Lannelongue, Service de chirurgie des cardiopathies cong&#x000E9;nitales, Le Plessis-Robinson), Jean-Marie Jouannic (H&#x000F4;pital Trousseau, AP-HP, Center pluridisciplinaire de diagnostic pr&#x000E9;natal, UPMC, Paris), Babak Khoshnood (INSERM U1153, Paris), Nathalie Lelong (INSERM U1153, Paris), Suzel Magnier (H&#x000F4;pital Robert Debr&#x000E9;, AP-HP, Service de cardiologie, Paris), Jean-Fran&#x000E7;ois Magny (Institut de Pu&#x000E9;riculture et de p&#x000E9;rinatologie, Service de n&#x000E9;onatologie, Paris), Caroline Rambaud (H&#x000F4;pital Raymond Poincarr&#x000E9;, AP-HP, Service d&#x00027;anatomie et cytologie pathologiques &#x02013; M&#x000E9;decine l&#x000E9;gale, UVSQ, Garches), Dominique Salomon (INSERM U1153, Paris), V&#x000E9;ronique Vodovar (INSERM U1153, Paris).</p>
<p>Project Coordination and Data Analysis Committee: Fran&#x000E7;ois Goffinet, Babak Khoshnood, Nathalie Lelong, Anne-Claire Thieulin, Thibaut Andrieu, V&#x000E9;ronique Vodovar.</p>
<p>Independent Data Monitoring Committee (URC Paris Center et CIC Cochin Necker M&#x000E8;re Enfant): Maggy Chausson, Anissa Brinis, Laure Faure, Maryline Delattre, Jean-Marc Treluyer (Groupe Hospitalier Cochin-H&#x000F4;tel Dieu, AP-HP, Universit&#x000E9; Paris Descartes, Paris).</p>
<p>External Scientific Committee: G&#x000E9;rard Br&#x000E9;art, Dominique Cabrol, Alain S&#x000E9;rraf, Daniel Sidi, Marcel Voyer.</p>
<p>Participating Centers: The Greater Paris Area (Paris and its surrounding suburbs) public (AP-HP) and private maternity units, Departments of Pediatric Cardiology and Pediatric Cardiac Surgery, pediatric cardiologists in private practice, Neonatal Intensive Care Units, Pediatric Intensive Care Units, Emergency Transfer Services (SMUR), Departments of Pathology, Sudden Death Centers, Departments of Family and Infant Protection (DFPE).</p></sec>
<sec id="s8">
<title>Author Contributions</title>
<p>BK conceived the study. AG conducted the statistical analyses and wrote the first draft of the manuscript. DB, FG, and BK contributed to the conceptualization of ideas and made suggestions about the required analyses. All authors contributed to the interpretation of findings and revisions of the article.</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>
</body>
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</ref-list>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>CHD</term>
<def><p>Congenital Heart defects</p></def></def-item>
<def-item><term>VSD</term>
<def><p>Ventricular Septal Defects</p></def></def-item>
<def-item><term>CoA</term>
<def><p>Coarctation of the Aorta</p></def></def-item>
<def-item><term>ToF</term>
<def><p>Tetralogy of Fallot</p></def></def-item>
<def-item><term>TGA</term>
<def><p>Transposition of the Great Arteries</p></def></def-item>
<def-item><term>FUH</term>
<def><p>Functionally Univentricular Heart</p></def></def-item>
<def-item><term>SGA</term>
<def><p>Small for Gestational Age</p></def></def-item>
<def-item><term>TOPFA</term>
<def><p>Termination of Pregnancy for Fetal anomaly.</p></def></def-item>
</def-list>
</glossary>
<fn-group>
<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This project financed by APHP DRCI and Association pour la Recherche en Cardiologie du Foetus &#x000E0; l&#x00027;Adulte (ARCFA).</p>
</fn>
</fn-group>
</back>
</article>