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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.2023.1256080</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>Effects of novel coronavirus Omicron variant infection on pregnancy outcomes: a retrospective cohort study from Guangzhou</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Xiao</surname> <given-names>Huanshun</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Chen</surname> <given-names>Cheng</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2047517/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Huang</surname> <given-names>Shan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2560496/overview"/>
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</contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname> <given-names>Wenni</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author"><name><surname>Cai</surname> <given-names>Shuangming</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2419792/overview"/>
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</contrib>
<contrib contrib-type="author"><name><surname>Hou</surname> <given-names>Xiangling</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Luo</surname> <given-names>Yiping</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Lin</surname> <given-names>Yu</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/746968/overview"/>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of MICU, Guangdong Women and Children Hospital</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Intensive Care Unit, Baiyun Branch of Nanfang Hospital, Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Faculty of Science and Technology, BNU-HKBU United International College</institution>, <addr-line>Zhuhai</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Sara Manti, University of Messina, Italy</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Antonio Gennaro Nicotera, University of Messina, Italy; Masoud Rahmati, Lorestan University, Iran</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Yu Lin, <email>13580311726@163.com</email>, Yiping Luo, <email>doctorluoyiping@126.com</email></corresp>
<fn fn-type="equal" id="fn0001">
<p><sup>&#x2020;</sup>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1256080</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Chen, Huang, Zhang, Cai, Hou, Luo and Lin.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Chen, Huang, Zhang, Cai, Hou, Luo and Lin</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Since 2022, Omicron has been circulating in China as a major variant of the novel coronavirus, but the effects of infection with Omicron variants on pregnant women and newborns are unknown. The purpose of this study was to determine the clinical characteristics of Omicron infection during pregnancy and its effect on pregnancy outcomes.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study retrospectively analyzed the data of 93 confirmed cases of novel coronavirus infection and 109 non-infected patients admitted to the isolation ward of Guangdong Maternal and Child Health Hospital from December 1, 2022 to January 31, 2023, and statistically analyzed the clinical features of Omicron variant infection during pregnancy and its impact on pregnancy outcomes. Further effects of underlying diseases on Omicron infection in pregnant women were analyzed.</p>
</sec>
<sec>
<title>Results</title>
<p>The incubation period of COVID-19 infection was 0.99&#x00B1;0.86 days, 94.38% of patients had fever or other respiratory symptoms, the lymphocyte count in the infected group was lower than that in the uninfected group, and the lymphocyte count was further reduced in the patients with pregnancy complications or complications. Compared with the uninfected group, APTT and PT were prolonged, platelet count and fibrinogen were decreased in the infected group, all of which had statistical significance. COVID-19 infection during pregnancy increased the rate of cesarean section compared to uninfected pregnant patients, and COVID-19 infection in gestational diabetes resulted in a 4.19-fold increase in cesarean section rate. There was no statistically significant difference in gestational age between the two groups. The incidence of intrauterine distress, turbidity of amniotic fluid and neonatal respiratory distress were higher in the infection group. No positive cases of neonatal COVID-19 infection have been found.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The patients infected with omicron during pregnancy often have febrile respiratory symptoms with lymphocyopenia, but the incidence of severe disease is low. Both Omicron infection and gestational diabetes further increase the incidence of cesarean section, and this study found no evidence of vertical transmission of Omicron.</p>
</sec>
</abstract>
<kwd-group>
<kwd>pregnancy</kwd>
<kwd>novel coronavirus</kwd>
<kwd>Omicron</kwd>
<kwd>maternal and infant outcomes</kwd>
<kwd>retrospective cohort study</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="57"/>
<page-count count="10"/>
<word-count count="6813"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Diseases: Pathogenesis and Therapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1"><label>1</label>
<title>Introduction</title>
<p>In December 2019, severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) was detected in Wuhan, Hubei Province, China (<xref ref-type="bibr" rid="ref1">1</xref>), and the disease was later named coronavirus disease (COVID-19) (<xref ref-type="bibr" rid="ref2">2</xref>). Over the past 3&#x2009;years, the novel coronavirus infection has spread around the world, causing a worldwide pandemic (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). The severity of the disease ranges from mild asymptomatic infection to atypical pneumonia, acute respiratory distress syndrome, and multiple visceral failure (<xref ref-type="bibr" rid="ref5">5</xref>), with high morbidity and mortality.</p>
<p>Large-scale studies have been reported on the impact of COVID-19 on the general population, but research and data on this group of pregnant women are still limited. Due to a variety of physiological changes during pregnancy, respiratory, circulatory, and immune system changes (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>), making pregnant women susceptible to various pathogens and prone to severe disease (<xref ref-type="bibr" rid="ref8">8</xref>), during the epidemic, they are at high risk of contracting the new coronavirus (<xref ref-type="bibr" rid="ref9">9</xref>). With the continuous understanding of the disease, infection with the novel coronavirus during pregnancy will have different degrees of impact on pregnant women and fetuses, affecting pregnancy outcomes (<xref ref-type="bibr" rid="ref10 ref11 ref12 ref13">10&#x2013;13</xref>).</p>
<p>Since the emergence of the pandemic, SARS-CoV-2 has been mutating constantly, with many variants emerging globally (<xref ref-type="bibr" rid="ref14">14</xref>). There are five SARS-CoV-2 variants identified by the World Health Organization: Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2) and Omicron (B.1.1.529). Many mutations in variants, such as Delta and Alpha (<xref ref-type="bibr" rid="ref15">15</xref>), are associated with immune evasion and higher infectivity, and there is uncertainty about the mutations in Omicron at this surface, and many mutations in the S protein of the Omicron variant may help the virus evade infection antibodies and other immune responses (<xref ref-type="bibr" rid="ref16">16</xref>). The large number of mutations in Omicron increases the ability of the virus to enter cells and a higher risk of transmission (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). Since 2022, Omicron has been circulating in China as the main variant (<xref ref-type="bibr" rid="ref17">17</xref>), with a strong transmissibility with the adjustment of domestic epidemic prevention policies and the increasing number of infections. Some data from non-pregnant patients infected with Omicron have shown that it causes milder disease than those caused by previous variant infection (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>), and in clinical observations, pregnant patients have a similar situation, and with the general increase in awareness of the new coronavirus, 84.80% of people have received COVID-19 booster vaccination by June 2021 under the publicity and guidance of the Chinese government (<xref ref-type="bibr" rid="ref20">20</xref>), studies have shown that COVID-19 vaccination has a promising effect on the prevention of SARS-CoV-2 infection, hospitalization, and ICU admission during pregnancy, with a reduction in preterm birth, and no increase in maternal comorbidities and complications, as well as adverse maternal and neonatal outcomes (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p>There are still many unknowns about the impact of the Omicron variant on pregnant women and newborns (<xref ref-type="bibr" rid="ref22">22</xref>), and research reports are limited. This study summarizes the clinical data, maternal and infant data of pregnant women infected with the novel coronavirus variant admitted to our hospital and analyzes the clinical characteristics and pregnancy outcomes of patients, to provide reference for clinical treatment.</p>
</sec>
<sec id="sec2"><label>2</label>
<title>Clinical information and methodology</title>
<sec id="sec3"><label>2.1</label>
<title>Study design and enrollment</title>
<p>This was a retrospective case&#x2013;control study conducted at the Guangdong Women and Children Medical Hospital in which all adult women of different gestational ages tested positive for real-time reverse transcription polymerase chain reaction (RT-PCR) via nasal or throat swabs the infected group with confirmed SARS-CoV-2, and the non-infected group that tested negative. The infection group was divided into basic disease group and no disease group according to the underlying disease situation. Patients with unavoided miscarriage, requiring induction of labor, lack of data, and delivery of less than 34&#x2009;weeks&#x2019; gestational age were excluded.</p>
</sec>
<sec id="sec4"><label>2.2</label>
<title>Data collection</title>
<p>Collect case data, including the patient&#x2019;s age, body mass index (BMI), symptoms of COVID-19 infection (fever, nasal congestion, cough, sore throat, pulmonary signs, etc.), history of previous underlying medical conditions, and comorbidities during pregnancy (gestational diabetes, gestational hypertension, etc.), and record white blood cell count, lymphocyte count, hemoglobin, liver function [alanine aminotransferase (ALT), aspartate aminotransferase (AST), renal function blood urea nitrogen (BUN) and creatinine]. Coagulation function, recording fetal intrauterine distress, premature rupture of membranes, pregnancy outcomes (including delivery mode, gestational age, amniotic fluid traits); According to the needs of air defense, after the birth of the newborn, it will be transferred to the isolation area to take care of the newborn, record the newborn&#x2019;s condition (including Apgar score, birth weight, SARS-cov-2 RT-PCR for two consecutive days, record the newborn&#x2019;s body temperature, etc.) of data. Indications and number of pregnant women and newborns admitted to the ICU, etc. Preterm birth is defined as 37&#x2009;weeks&#x2019; gestational age at the time of delivery &#x003C;. Data is collected using developed forms and is reviewed and proofread by two colleagues. This study was reviewed and approved by the Medical Ethics Committee of Guangdong Maternal and Child Health Care Hospital. The medical ethics approval number is 202201345.</p>
</sec>
<sec id="sec5"><label>2.3</label>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using SPSS 26. Continuous variables use the mean and standard deviation (SD) of the normal distribution, nonnormal distribution data use the median or quartile, and categorical variables use frequency and percentile. Data normality was checked using the Shapiro&#x2013;Wilk, Kolmogorov&#x2013;Smirnov test, and the <italic>t</italic>-test or Mann&#x2013;Whitney-U was used the test compares continuous variables between infected and non-infected individuals, using the Pearson chi-square test or Fisher Exact testing compares categorical variables. An unadjusted odds ratio (OR) is calculated using a logistic regression model. <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05 is considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec6"><label>3</label>
<title>Results</title>
<sec id="sec7"><label>3.1</label>
<title>Patient characteristics</title>
<p>A total of 198 patients were collected, including 93 in the infection group, and 4 patients who did not meet the inclusion criteria were excluded (2 were admitted for induction of labor due to fetal factors, 1 had missed miscarriage, 1 case data missing), 109 patients in the non-infected group, two groups of patients The basic situation and clinical features are shown in <xref ref-type="table" rid="tab1">Table 1</xref>. There were no significant differences in the basic characteristics (including age, BMI, and underlying medical conditions) between the two groups.</p>
<table-wrap position="float" id="tab1"><label>Table 1</label>
<caption>
<p>Patient characteristics and clinical features.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="top">Infected group (<italic>n</italic>&#x2009;=&#x2009;89)</th>
<th align="center" valign="top">Non-infected group (<italic>n</italic>&#x2009;=&#x2009;109)</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age (years) (mean&#x2009;&#x00B1;&#x2009;standard deviation)</td>
<td/>
<td align="center" valign="middle">30.57&#x2009;&#x00B1;&#x2009;3.50</td>
<td align="center" valign="middle">31.53&#x2009;&#x00B1;&#x2009;3.98</td>
<td align="center" valign="middle">0.078</td>
</tr>
<tr>
<td align="left" valign="middle">BMI (kg/m<sup>2</sup>) (<italic>n</italic>%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.352</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">&#x003C;25</td>
<td align="center" valign="middle">36 (40.45%)</td>
<td align="center" valign="middle">49 (45.0%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">25&#x2013;29.9</td>
<td align="center" valign="middle">46 (51.69%)</td>
<td align="center" valign="middle">47 (43.1%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">30&#x2013;34.9</td>
<td align="center" valign="middle">6 (6.74%)</td>
<td align="center" valign="middle">11 (10.1%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">35&#x2013;39.9</td>
<td align="center" valign="middle">1 (1.12%)</td>
<td align="center" valign="middle">2 (1.8%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">&#x2265;40</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Prenatal underlying conditions</td>
<td align="left" valign="middle">be</td>
<td align="center" valign="middle">24 (26.96%)</td>
<td align="center" valign="middle">30 (27.52%)</td>
<td align="center" valign="middle">0.476</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">not</td>
<td align="center" valign="middle">65 (73.04%)</td>
<td align="center" valign="middle">79 (72.48%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Viral hepatitis B</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">0.689</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">bladder cancer</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">0.867</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Hypothyroidism</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">0.972</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Abnormal liver function</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">0.91</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Hashimoto&#x2019;s thyroiditis</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">0.885</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Subclinical hyperthyroidism</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0.837</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Undifferentiated connective tissue disease</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">0.762</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Nephrupetosis</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">0.885</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">arrhythmia</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">0.885</td>
</tr>
<tr>
<td align="left" valign="middle">Pregnancy comorbid disease</td>
<td align="left" valign="middle">be</td>
<td align="center" valign="middle">24 (27%)</td>
<td align="center" valign="middle">30 (27.5%)</td>
<td align="center" valign="middle">0.522</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">not</td>
<td align="center" valign="middle">65 (73.0%)</td>
<td align="center" valign="middle">79 (72.5%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Gestational diabetes</td>
<td align="center" valign="middle">20 (22.5%)</td>
<td align="center" valign="middle">21 (19.3%)</td>
<td align="center" valign="middle">0.580</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Hypertension during pregnancy</td>
<td align="center" valign="middle">4 (4.5%)</td>
<td align="center" valign="middle">9 (8.3%)</td>
<td align="center" valign="middle">0.438</td>
</tr>
<tr>
<td align="left" valign="middle">Vaccination status</td>
<td/>
<td align="center" valign="middle">83 (93.26%)</td>
<td align="center" valign="middle">100 (91.74)</td>
<td align="center" valign="middle">0.689</td>
</tr>
<tr>
<td align="left" valign="middle">Past infection</td>
<td/>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">COVID-19 symptoms (<italic>n</italic>%)</td>
<td align="left" valign="middle">Incubation period (days)</td>
<td align="center" valign="middle">0.99&#x2009;&#x00B1;&#x2009;0.86</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">fever</td>
<td align="center" valign="middle">84 (94.38%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Sore throat</td>
<td align="center" valign="middle">53 (59.55%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Nasal congestion, runny nose</td>
<td align="center" valign="middle">43 (50.56%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">cough</td>
<td align="center" valign="middle">45 (48.31%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">headache</td>
<td align="center" valign="middle">39 (43.82%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Muscle soreness</td>
<td align="center" valign="middle">38 (42.7%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">gasp</td>
<td align="center" valign="middle">2 (2.25%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">dyspnea</td>
<td align="center" valign="middle">2 (2.25%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Asymptomatic infection</td>
<td align="center" valign="middle">2 (2.25%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Treat</td>
<td align="left" valign="middle">paracetamol</td>
<td align="center" valign="middle">56 (62.92%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">No medication</td>
<td align="center" valign="middle">33 (37.08%)</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>The mean incubation period of COVID-19 infection in the infection group was 0.99&#x2009;&#x00B1;&#x2009;0.86&#x2009;days, and 97.75% of patients had influenza-like infection Symptoms, common symptoms include, fever (9 4.38%), sore throat (5 9.55%), nasal congestion, runny nose (50.56%), cough (4 8.31%), headache (4 3.82%), muscle aches (4 2.7%), shortness of breath, dyspnea (4.5%), asymptomatic 2 cases (2.25%), 6 Antipyretics were used in 2.92% of patients, the most commonly used drug was acetaminophen, and all patients did not use antiviral drugs. Both groups of patients received at least two doses of vaccine before pregnancy, with a vaccination rate of more than 90%, and no pregnancy was vaccinated. None of them had any previous infections.</p>
</sec>
<sec id="sec8"><label>3.2</label>
<title>Laboratory test results</title>
<p>The laboratory results of the two groups of patients are shown in <xref ref-type="table" rid="tab2">Table 2</xref>. Compared with the non-infected group, 8 8.76% (<italic>n</italic>&#x2009;=&#x2009;79) of patients in the infected group Lymphocyte count was reduced, and there was a statistically significant difference between the two groups (0.69&#x2009;&#x00B1;&#x2009;.034&#x00D7;10^<sup>9</sup>/L ratio (1.71&#x2009;&#x00B1;&#x2009;0.51)&#x00D7;10^<sup>9</sup>/L, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; The coagulation indexes of the two groups were within the normal range, but the infection group APTT and PT were prolonged, and the fibrinogen and platelet counts were reduced, and the differences between the two groups were statistically significant, 27.2&#x2009;&#x00B1;&#x2009;2.81, respectively s ratio was 25.59&#x2009;&#x00B1;&#x2009;1.75&#x2009;s, 10.77&#x2009;&#x00B1;&#x2009;0.53&#x2009;s to 10.32&#x2009;&#x00B1;&#x2009;0.52&#x2009;s, 4.067&#x2009;&#x00B1;&#x2009;0.79&#x2009;g/L 4.57&#x2009;&#x00B1;&#x2009;0.76&#x2009;g/L, 194.99&#x2009;&#x00B1;&#x2009;54.66)&#x00D7;10^<sup>9</sup>/L ratio (236.4&#x2009;&#x00B1;&#x2009;69.16)&#x00D7;10^<sup>9</sup>/L, <italic>p</italic> is less than 0.05.</p>
<table-wrap position="float" id="tab2"><label>Table 2</label>
<caption>
<p>Laboratory test results.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="left" valign="middle">Positive patients (<italic>n</italic>&#x2009;=&#x2009;89)</th>
<th align="left" valign="middle">Negative patients (<italic>n</italic>&#x2009;=&#x2009;109)</th>
<th align="left" valign="middle"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="14">Laboratory test results</td>
<td align="center" valign="top">White blood cell count</td>
<td align="center" valign="top">8.91&#x2009;&#x00B1;&#x2009;2.29</td>
<td align="center" valign="top">9.69&#x2009;&#x00B1;&#x2009;3.05</td>
<td align="center" valign="top">0.176</td>
</tr>
<tr>
<td align="center" valign="top">Lymphocyte count</td>
<td align="center" valign="top">0.69&#x2009;&#x00B1;&#x2009;0.034</td>
<td align="center" valign="top">1.71&#x2009;&#x00B1;&#x2009;0.51</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="center" valign="top">hemoglobin</td>
<td align="center" valign="top">112.09&#x2009;&#x00B1;&#x2009;11.48</td>
<td align="center" valign="top">118.17&#x2009;&#x00B1;&#x2009;13.07</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="center" valign="top">Platelet count</td>
<td align="center" valign="top">194.99&#x2009;&#x00B1;&#x2009;54.66</td>
<td align="center" valign="top">236.4&#x2009;&#x00B1;&#x2009;69.16</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="center" valign="top">Serum albumin</td>
<td align="center" valign="top">33.41&#x2009;&#x00B1;&#x2009;2.85</td>
<td align="center" valign="top">33.86&#x2009;&#x00B1;&#x2009;4.2</td>
<td align="center" valign="top">0.041</td>
</tr>
<tr>
<td align="center" valign="top">APTT</td>
<td align="center" valign="top">27.2&#x2009;&#x00B1;&#x2009;2.81</td>
<td align="center" valign="top">25.59&#x2009;&#x00B1;&#x2009;1.75</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="center" valign="top">PT</td>
<td align="center" valign="top">10.77&#x2009;&#x00B1;&#x2009;0.53</td>
<td align="center" valign="top">10.32&#x2009;&#x00B1;&#x2009;0.52</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="center" valign="top">fibrinogen</td>
<td align="center" valign="top">4.067&#x2009;&#x00B1;&#x2009;0.79</td>
<td align="center" valign="top">4.57&#x2009;&#x00B1;&#x2009;0.76</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="center" valign="top">ALT</td>
<td align="center" valign="top">19.74&#x2009;&#x00B1;&#x2009;10.7</td>
<td align="center" valign="top">22.27&#x2009;&#x00B1;&#x2009;36.95</td>
<td align="center" valign="top">0.020</td>
</tr>
<tr>
<td align="center" valign="top">AST</td>
<td align="center" valign="top">26.27&#x2009;&#x00B1;&#x2009;11.39</td>
<td align="center" valign="top">24&#x2009;&#x00B1;&#x2009;20.17</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="center" valign="top">sCr</td>
<td align="center" valign="top">46.95&#x2009;&#x00B1;&#x2009;9.87</td>
<td align="center" valign="top">46.24&#x2009;&#x00B1;&#x2009;9.02</td>
<td align="center" valign="top">0.668</td>
</tr>
<tr>
<td align="center" valign="top">BUN</td>
<td align="center" valign="top">6.21&#x2009;&#x00B1;&#x2009;2.98</td>
<td align="center" valign="top">3.72&#x2009;&#x00B1;&#x2009;1.85</td>
<td align="center" valign="top">0.030</td>
</tr>
<tr>
<td align="center" valign="top">LDH</td>
<td align="center" valign="top">200.64&#x2009;&#x00B1;&#x2009;22.99</td>
<td align="center" valign="top">204.34&#x2009;&#x00B1;&#x2009;29.22</td>
<td align="center" valign="top">0.311</td>
</tr>
<tr>
<td align="center" valign="top">PCT</td>
<td align="center" valign="top">0.099&#x2009;&#x00B1;&#x2009;0.029</td>
<td align="center" valign="top">0.11&#x2009;&#x00B1;&#x2009;0.03</td>
<td align="center" valign="top">0.482</td>
</tr>
<tr>
<td align="left" valign="top">Antiviral</td>
<td/>
<td align="center" valign="top">0</td>
<td align="center" valign="top">/</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Anticoagulant therapy</td>
<td/>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Thrombus incident</td>
<td/>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>The liver function and renal function indexes of the two groups were within the normal range, but the serum albumin and BUN increased in the infected group, which were statistically different compared with the non-infected group, respectively: serum albumin was 33.41&#x2009;&#x00B1;&#x2009;2.85&#x2009;g/L than 33.86&#x2009;&#x00B1;&#x2009;4.2&#x2009;g/L, <italic>p</italic>&#x2009;=&#x2009;0.041, BUN6 21&#x2009;&#x00B1;&#x2009;2.98umol/L ratio 3.72&#x2009;&#x00B1;&#x2009;1.85 umol/L, <italic>p</italic>&#x2009;=&#x2009;0.030. All patients were treated without anticoagulation and were followed up for 6&#x2009;weeks with no thrombotic events.</p>
</sec>
<sec id="sec9"><label>3.3</label>
<title>Pregnancy and neonatal outcomes</title>
<p>The fetal heart rate of patients in the infected group was significantly faster than that in the non-infected group (164.46&#x2009;&#x00B1;&#x2009;13.33 vs. 142.34&#x2009;&#x00B1;&#x2009;5.01, <italic>p</italic> &#x003C;&#x2009;0.001), fetal intrauterine distress and amniotic fluid opacity increased significantly, respectively: 8 4.5% compared with the negative group (27.5%, <italic>p</italic> &#x003C;&#x2009;0.001) and (32.7% vs. 12.4%, <italic>p</italic> =&#x2009;0.004); The cesarean section rate increased in the infected group (44.9% vs. 28.4%, <italic>p</italic> =&#x2009;0.016). The difference was statistically significant. The gestational age of delivery was 37.51&#x2009;&#x00B1;&#x2009;3.051 versus 36.74&#x2009;&#x00B1;&#x2009;4.54, <italic>p</italic> =&#x2009;0.251, respectively, and there was no significant difference in preterm birth rate between the two groups (infection group 11.2% was compared with the non-infected group 13.8%, <italic>p</italic> =&#x2009;0.595), There was no difference in postpartum hemorrhage (2.25% versus 2.75%, <italic>p</italic> =&#x2009;0.822). In addition, there were no statistically significant differences in threatened miscarriage and intrauterine/stillbirth.</p>
<p>Fifty-five births were delivered in 2 births in the infected group (3 twin births) and 101 births in the non-infected group (2 twin births) for a total of 103 newborns, with no difference in birth weight between the two groups. There were no significant differences in gestational age (38.28&#x2009;&#x00B1;&#x2009;2.28 in the infected group compared with 38.12&#x2009;&#x00B1;&#x2009;2.57 in the non-infected group, <italic>p</italic> =&#x2009;0.719) and birth weight (3.304&#x2009;&#x00B1;&#x2009;0.043&#x2009;g vs. 3.419&#x2009;&#x00B1;&#x2009;0.032&#x2009;g, <italic>p</italic> =&#x2009;0.094) between the two groups. Common neonatal complications include: neonatal asphyxia, low birth weight infants, neonatal pneumonia, etc., and the two cases in the infection group had birth Apgar scores of 1&#x2009;min, 5&#x2009;min, and 10&#x2009;min, respectively 7&#x2013;9-9 points, amniotic fluid III degree turbidity, improved after treatment; After delivery, all the children in the infection group were transferred to the neonatal department for isolation and observation, and there was no fever, tracheal intubation, unstable blood pressure, etc., and the new coronavirus antigen was tested for two consecutive days, and there were no positive results. One case of neonatal asphyxia occurred in the non-infected group, spontaneous delivery, maternal gestational diabetes, and poor glycaemic control during pregnancy Turbidity of amniotic fluid, Apgar score 7&#x2013;8-8, admission to ICU treatment, diagnosis of aspiration pneumonia, oxygen and on He recovered and was discharged after antibiotic treatment. There were no deaths. See <xref ref-type="table" rid="tab3">Table 3</xref>.</p>
<table-wrap position="float" id="tab3"><label>Table 3</label>
<caption>
<p>Pregnancy and neonatal characteristics and outcomes.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="top">Positive patients (<italic>n</italic>&#x2009;=&#x2009;89)</th>
<th align="center" valign="top">Negative patients (<italic>n</italic>&#x2009;=&#x2009;109)</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Gestational age (weeks)</td>
<td/>
<td align="center" valign="middle">37.51&#x2009;&#x00B1;&#x2009;3.051</td>
<td align="center" valign="middle">36.74&#x2009;&#x00B1;&#x2009;4.54</td>
<td align="center" valign="middle">0.251</td>
</tr>
<tr>
<td align="left" valign="middle">Fetal heart rate</td>
<td/>
<td align="center" valign="middle">164.46&#x2009;&#x00B1;&#x2009;13.33</td>
<td align="center" valign="middle">142.34&#x2009;&#x00B1;&#x2009;5.01</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Premature birth (&#x003C; 37&#x2009;weeks)</td>
<td/>
<td align="center" valign="middle">10 (11.2%)</td>
<td align="center" valign="middle">15 (13.8%)</td>
<td align="center" valign="middle">0.595</td>
</tr>
<tr>
<td align="left" valign="middle">Threatened abortion</td>
<td/>
<td align="center" valign="middle">3 (3.37%)</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0.103</td>
</tr>
<tr>
<td align="left" valign="middle">Mode of delivery</td>
<td align="center" valign="middle">Birth</td>
<td align="center" valign="middle">12 (13.5%)</td>
<td align="center" valign="middle">68 (62.4%)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td/>
<td align="center" valign="middle">Cesarean</td>
<td align="center" valign="middle">40 (44.9%)</td>
<td align="center" valign="middle">31 (28.4%)</td>
<td align="center" valign="middle">0.016</td>
</tr>
<tr>
<td align="left" valign="middle">Prelabour rupture of membranes</td>
<td/>
<td align="center" valign="middle">4 (4.5%)</td>
<td align="center" valign="middle">25 (22.9%)</td>
<td align="center" valign="middle">0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Intrauterine distress</td>
<td/>
<td align="center" valign="middle">75 (84.3%)</td>
<td align="center" valign="middle">30 (27.5%)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Perineal laceration</td>
<td/>
<td align="center" valign="middle">8 (9%)</td>
<td align="center" valign="middle">5 (4.6%)</td>
<td align="center" valign="middle">0.339</td>
</tr>
<tr>
<td align="left" valign="middle">Cloudy amniotic fluid</td>
<td/>
<td align="center" valign="middle">17 (32.7%)</td>
<td align="center" valign="middle">11 (12.4%)</td>
<td align="center" valign="middle">0.004</td>
</tr>
<tr>
<td align="left" valign="middle">Postpartum hemorrhage</td>
<td/>
<td align="center" valign="middle">2 (2.25%)</td>
<td align="center" valign="middle">3 (2.75%)</td>
<td align="center" valign="middle">1</td>
</tr>
<tr>
<td align="left" valign="middle">Number of newborns</td>
<td/>
<td align="center" valign="middle"><italic>n</italic> =&#x2009;55</td>
<td align="center" valign="middle"><italic>n</italic> =&#x2009;103</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Abnormal fetus</td>
<td/>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">Gestational age at birth (weeks)</td>
<td/>
<td align="center" valign="middle">38.28&#x2009;&#x00B1;&#x2009;2.28</td>
<td align="center" valign="middle">38.12&#x2009;&#x00B1;&#x2009;2.57</td>
<td align="center" valign="middle">0.719</td>
</tr>
<tr>
<td align="left" valign="middle">Birth weight (mean&#x2009;&#x00B1;&#x2009;standard deviation) (kg)</td>
<td/>
<td align="center" valign="middle">3.304&#x2009;&#x00B1;&#x2009;0.043</td>
<td align="center" valign="middle">3.419&#x2009;&#x00B1;&#x2009;0.032</td>
<td align="center" valign="middle">0.094</td>
</tr>
<tr>
<td align="left" valign="middle">Apgar score&#x2009;&#x003C;&#x2009;7</td>
<td/>
<td align="center" valign="middle">2 (3.6%)</td>
<td align="center" valign="middle">1 (1.0%)</td>
<td align="center" valign="middle">0.278</td>
</tr>
<tr>
<td align="left" valign="middle">Neonatal complications</td>
<td/>
<td align="center" valign="middle">2 (3.6%)</td>
<td align="center" valign="middle">1 (1.0%)</td>
<td align="center" valign="middle">0.577</td>
</tr>
<tr>
<td align="left" valign="middle">Newborns are positive for COVID-19 PCR</td>
<td/>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">/</td>
</tr>
<tr>
<td align="left" valign="middle">Newborns admitted to the ICU</td>
<td/>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">1 (1.01%)</td>
<td align="center" valign="middle">1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec10"><label>3.4</label>
<title>Infection group analysis based on the presence or absence of underlying disease subgroups</title>
<p>The 89 patients in the infection group were divided into 3 8 cases in the group with underlying diseases and 51 cases in the group without underlying diseases according to the underlying disease status The lymphocyte count in the group with underlying disease was further reduced by (0.55&#x2009;&#x00B1;&#x2009;0.28)&#x00D7;10^<sup>9</sup>/L ratio (0.71&#x2009;&#x00B1;&#x2009;0.36)&#x00D7;10^<sup>9</sup>/L, (<italic>p</italic>&#x2009;=&#x2009;0.017), the difference was statistically significant. There were no differences in clinical symptoms, laboratory tests, mode of delivery, and neonatal outcomes of COVID-19 between groups. See <xref ref-type="table" rid="tab4">Table 4</xref>.</p>
<table-wrap position="float" id="tab4"><label>Table 4</label>
<caption>
<p>Subgroup analysis of infection groups.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="middle">Associated with underlying disease (<italic>n</italic>&#x2009;=&#x2009;38)</th>
<th align="center" valign="middle">No underlying disease (<italic>n</italic>&#x2009;=&#x2009;51)</th>
<th align="center" valign="middle"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Underlying disease</td>
<td align="left" valign="middle">Gestational diabetes</td>
<td align="center" valign="middle">20</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Hypertension during pregnancy</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Hypothyroidism</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Hepatitis B</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Abnormal liver function</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Connective tissue disease</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Hashimoto&#x2019;s thyroiditis</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Hyperthyroidism</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Nephrupetosis</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Bladder cancer</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Arrhythmia</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">COVID-19 Symptoms</td>
<td align="left" valign="middle">Fever (&#x00B0;C)</td>
<td/>
<td/>
<td align="center" valign="middle">0.779</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">&#x003C;37.3</td>
<td align="center" valign="middle">2 (5.3%)</td>
<td align="center" valign="middle">5 (9.8%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">37.3&#x2013;38</td>
<td align="center" valign="middle">11 (28.9%)</td>
<td align="center" valign="middle">11 (21.6%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">38.1&#x2013;39</td>
<td align="center" valign="middle">21 (55.3%)</td>
<td align="center" valign="middle">29 (56.9%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">39.1&#x2013;41</td>
<td align="center" valign="middle">4 (10.5%)</td>
<td align="center" valign="middle">6 (11.8%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">&#x003E;41</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Sore throat</td>
<td align="center" valign="middle">23 (60.5%)</td>
<td align="center" valign="middle">30 (58.8%)</td>
<td align="center" valign="middle">0.871</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Nasal congestion, runny nose</td>
<td align="center" valign="middle">15 (39.5%)</td>
<td align="center" valign="middle">28 (54.9%)</td>
<td align="center" valign="middle">0.15</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Cough</td>
<td align="center" valign="middle">16 (42.1%)</td>
<td align="center" valign="middle">29 (56.9%)</td>
<td align="center" valign="middle">0.168</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Headache</td>
<td align="center" valign="middle">13 (34.2%)</td>
<td align="center" valign="middle">26 (51.0%)</td>
<td align="center" valign="middle">0.115</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Muscle soreness</td>
<td align="center" valign="middle">13 (34.2%)</td>
<td align="center" valign="middle">25 (49.0%)</td>
<td align="center" valign="middle">0.162</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Gasp</td>
<td align="center" valign="middle">1 (2.6%)</td>
<td align="center" valign="middle">1 (2%)</td>
<td align="center" valign="middle">0.834</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Dyspnea</td>
<td align="center" valign="middle">1 (2.6%)</td>
<td align="center" valign="middle">1 (2%)</td>
<td align="center" valign="middle">0.834</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Pharyngeal hyperemia</td>
<td align="center" valign="middle">20 (52.6%)</td>
<td align="center" valign="middle">38 (74.5%)</td>
<td align="center" valign="middle">0.032</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Crackles of the lungs</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">/</td>
</tr>
<tr>
<td align="left" valign="middle">Heart rate (times/min) (mean&#x2009;&#x00B1;&#x2009;standard deviation)</td>
<td/>
<td align="center" valign="middle">114.73&#x2009;&#x00B1;&#x2009;17.63</td>
<td align="center" valign="middle">114.25&#x2009;&#x00B1;&#x2009;16.3</td>
<td align="center" valign="middle">0.895</td>
</tr>
<tr>
<td align="left" valign="middle">Gestational age (median)</td>
<td/>
<td align="center" valign="middle">37.58&#x2009;&#x00B1;&#x2009;3.02</td>
<td align="center" valign="middle">35.65&#x2009;&#x00B1;&#x2009;5.44</td>
<td align="center" valign="middle">0.054</td>
</tr>
<tr>
<td align="left" valign="middle">Fetal heart rate</td>
<td/>
<td align="center" valign="middle">167.64&#x2009;&#x00B1;&#x2009;13.07</td>
<td align="center" valign="middle">162.42&#x2009;&#x00B1;&#x2009;12.43</td>
<td align="center" valign="middle">0.059</td>
</tr>
<tr>
<td align="left" valign="top">Laboratory tests</td>
<td align="left" valign="middle">White blood cell count</td>
<td align="center" valign="middle">8.32&#x2009;&#x00B1;&#x2009;2.17</td>
<td align="center" valign="middle">8.93&#x2009;&#x00B1;&#x2009;2.95</td>
<td align="center" valign="middle">0.285</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="11">Laboratory tests Premature birth (&#x003C; 37&#x2009;weeks)</td>
<td align="left" valign="middle">Lymphocyte count</td>
<td align="center" valign="middle">0.55&#x2009;&#x00B1;&#x2009;0.28</td>
<td align="center" valign="middle">0.71&#x2009;&#x00B1;&#x2009;0.36</td>
<td align="center" valign="middle">0.017</td>
</tr>
<tr>
<td align="left" valign="middle">Hemoglobin</td>
<td align="center" valign="middle">109.85&#x2009;&#x00B1;&#x2009;11.83</td>
<td align="center" valign="middle">113.1&#x2009;&#x00B1;&#x2009;10.36</td>
<td align="center" valign="middle">0.172</td>
</tr>
<tr>
<td align="left" valign="middle">Platelet count</td>
<td align="center" valign="middle">178.21&#x2009;&#x00B1;&#x2009;60.28</td>
<td align="center" valign="middle">201.18&#x2009;&#x00B1;&#x2009;55.05</td>
<td align="center" valign="middle">0.066</td>
</tr>
<tr>
<td align="left" valign="middle">Serum albumin</td>
<td align="center" valign="middle">33.32&#x2009;&#x00B1;&#x2009;2.06</td>
<td align="center" valign="middle">33.98&#x2009;&#x00B1;&#x2009;2.88</td>
<td align="center" valign="middle">0.081</td>
</tr>
<tr>
<td align="left" valign="middle">APTT</td>
<td align="center" valign="middle">26.63&#x2009;&#x00B1;&#x2009;1.85</td>
<td align="center" valign="middle">27.92&#x2009;&#x00B1;&#x2009;3.17</td>
<td align="center" valign="middle">0.028</td>
</tr>
<tr>
<td align="left" valign="middle">PT</td>
<td align="center" valign="middle">10.85&#x2009;&#x00B1;&#x2009;0.47</td>
<td align="center" valign="middle">10.77&#x2009;&#x00B1;&#x2009;0.54</td>
<td align="center" valign="middle">0.507</td>
</tr>
<tr>
<td align="left" valign="middle">fibrinogen</td>
<td align="center" valign="middle">4.06&#x2009;&#x00B1;&#x2009;0.63</td>
<td align="center" valign="middle">4.08&#x2009;&#x00B1;&#x2009;0.87</td>
<td align="center" valign="middle">0.859</td>
</tr>
<tr>
<td align="left" valign="middle">OLD</td>
<td align="center" valign="middle">21.56&#x2009;&#x00B1;&#x2009;13.82</td>
<td align="center" valign="middle">17.51&#x2009;&#x00B1;&#x2009;5.12</td>
<td align="center" valign="middle">0.057</td>
</tr>
<tr>
<td align="left" valign="middle">AST</td>
<td align="center" valign="middle">28.22&#x2009;&#x00B1;&#x2009;12.9</td>
<td align="center" valign="middle">24.78&#x2009;&#x00B1;&#x2009;9.96</td>
<td align="center" valign="middle">0.159</td>
</tr>
<tr>
<td align="left" valign="middle">sCr</td>
<td align="center" valign="middle">47.76&#x2009;&#x00B1;&#x2009;11.45</td>
<td align="center" valign="middle">46.37&#x2009;&#x00B1;&#x2009;8.57</td>
<td align="center" valign="middle">0.512</td>
</tr>
<tr>
<td align="left" valign="middle">be</td>
<td align="center" valign="middle">5 (21.7%)</td>
<td align="center" valign="middle">5 (17.2%)</td>
<td align="center" valign="middle">0.683</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">not</td>
<td align="center" valign="middle">18 (78.3%)</td>
<td align="center" valign="middle">24 (82.8%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Mode of delivery</td>
<td align="left" valign="middle">Birth</td>
<td align="center" valign="middle">4 (10.5%)</td>
<td align="center" valign="middle">9 (17.6%)</td>
<td align="center" valign="middle">0.512</td>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Cesarean</td>
<td align="center" valign="middle">19 (50.0%)</td>
<td align="center" valign="middle">20 (39.2%)</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="middle">Not in labor</td>
<td align="center" valign="middle">15 (39.5%)</td>
<td align="center" valign="middle">22 (43.1%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Prelabour rupture of membranes</td>
<td/>
<td align="center" valign="middle">0 (0%)</td>
<td align="center" valign="middle">4 (3.7%)</td>
<td align="center" valign="middle">0.129</td>
</tr>
<tr>
<td align="left" valign="middle">Intrauterine distress</td>
<td/>
<td align="center" valign="middle">35 (92.1%)</td>
<td align="center" valign="middle">40 (78.4%)</td>
<td align="center" valign="middle">0.08</td>
</tr>
<tr>
<td align="left" valign="middle">Postpartum hemorrhage</td>
<td/>
<td align="center" valign="middle">1 (2.63%)</td>
<td align="center" valign="middle">2 (3.92%)</td>
<td align="center" valign="middle">0.684</td>
</tr>
<tr>
<td align="left" valign="middle">Neonatal complications</td>
<td/>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">/</td>
</tr>
<tr>
<td align="left" valign="middle">Neonatal coronavirus infection</td>
<td/>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">/</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In the infected group, univariate logistic regression analysis was used to determine the factors that increased the rate of cesarean section, and the incidence of cesarean section was increased in patients with gestational diabetes compared with those without diabetes 4 013-fold (OR&#x2009;=&#x2009;4.013, 95% CI (1.368, 11.77), <italic>p</italic>&#x2009;=&#x2009;0.011); In a multivariate multivariate logistic regression analysis that included age, BMI, gestational age, gestational hypertension, and gestational diabetes mellitus, the risk of cesarean section after COVID-19 infection in patients with gestational diabetes mellitus was still significantly associated with BMI&#x2009;&#x003C;&#x2009;25 (<italic>p</italic>&#x2009;=&#x2009;0.011). See <xref ref-type="table" rid="tab5">Table 5</xref>.</p>
<table-wrap position="float" id="tab5"><label>Table 5</label>
<caption>
<p>Simple logistic regression model of cesarean section predictors for infection combination and underlying disease.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle"><italic>p</italic></th>
<th align="center" valign="middle">OR value</th>
<th align="center" valign="middle" colspan="2">95% CI</th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th align="center" valign="middle">Lower limit</th>
<th align="center" valign="middle">Upper limit</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gestational diabetes</td>
<td align="center" valign="top">0.011</td>
<td align="center" valign="top">4.013</td>
<td align="center" valign="top">1.368</td>
<td align="center" valign="top">11.770</td>
</tr>
<tr>
<td align="left" valign="top">constant</td>
<td align="center" valign="top">0.031</td>
<td align="center" valign="top">0.581</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec11"><label>4</label>
<title>Discussion</title>
<p>This study showed that infection with the COVID-19 variant during pregnancy has a shorter incubation period, and the most common symptoms are fever, sore throat, nasal congestion, runny nose, cough and other flu-like symptoms. Most of these patients had fever (9 4.38%) and sore throat (59.55%), which were like the early epidemic among the Wuhan pregnancy cases reported by Chen et al. The most common symptoms were fever (75%) and cough (73%), 9 to 5 percent of patients showed similar results (<xref ref-type="bibr" rid="ref23">23</xref>), except for fever The chance of symptoms is higher, unlike the 6 to 2.7% of pregnant women reported by Rasha Khoury et al. in the United States to be asymptomatic before or during hospitalization (<xref ref-type="bibr" rid="ref24">24</xref>). Physiological changes in the respiratory, circulatory, and immune systems occur during pregnancy due to hormonal changes (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>), increasing the risk of respiratory virus infection during pregnancy and more serious clinical manifestations after infection (<xref ref-type="bibr" rid="ref25">25</xref>). As the virus continues to mutate, virus virulence and pathogenicity change, and the Omicron variant decreases in its virulence and pathogenicity in causing lung infection or ARDS (<xref ref-type="bibr" rid="ref26 ref27 ref28">26&#x2013;28</xref>), clinical manifestations and characteristics also have different manifestations. Another reason for the reduction in clinical symptoms and the reduction in critical cases may be related to the high vaccination rate, with more than 90 percent of patients receiving more than two doses of vaccine before pregnancy, and like recent studies, vaccination has a high efficacy in preventing SARS-CoV-2 infection, hospitalization, and intensive care unit admission during pregnancy, and reducing preterm birth (<xref ref-type="bibr" rid="ref20">20</xref>).</p>
<p>Compared with no infection, infection with the novel coronavirus during pregnancy was associated with a faster fetal heart rate, fetal intrauterine distress, increased occurrence of cloudy amniotic fluid, and an increased incidence of cesarean section (4 to 4.9%), but there was no difference in preterm birth rates. Previous studies have observed an increase in cesarean section rates in COVID-19-positive pregnant women (<xref ref-type="bibr" rid="ref29 ref30 ref31">29&#x2013;31</xref>), primarily due to clinical manifestations of severe disease following infection or exacerbations due to underlying medical conditions, pregnant women undergo cesarean section due to worsening respiratory symptoms (<xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>), and an increased rate of preterm birth may occur (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>). In our study, patients who did not have novel coronavirus pneumonia or who required respiratory support or were admitted to the ICU ward were classified according to the severity of symptoms (<xref ref-type="bibr" rid="ref36">36</xref>). The patients enrolled in the study were mild and asymptomatic infections, with obvious symptoms and mild disease, which were consistent with the pathogenic characteristics of the variant Omicron (<xref ref-type="bibr" rid="ref26 ref27 ref28">26&#x2013;28</xref>) Infection with this variant is associated with a lower likelihood of severe illness in pregnant women (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>). This study showed that the indications for cesarean section are mainly fetal intrauterine distress, repeated high fever after infection with the virus, increased fetal heart rate, easy to be complicated by significantly increased fetal heart rate, and fetal intrauterine distress. However, after reasonable symptomatic treatment and other treatment, the symptoms were relieved, the condition did not worsen, and there was no difference in the rate of premature birth of patients.</p>
<p>From the results of laboratory tests, the lymphocyte counts of 8 8.76% of patients in the positive group is reduced, and it is also observed in the subgroup analysis of the underlying disease that the lymphocyte count of infected with the new coronavirus in the state of the underlying disease is lower than that of those without the underlying disease. Chen L et al. reported that lymphopenia was observed in 44% of pregnant women and COVID-19 clinical features (<xref ref-type="bibr" rid="ref23">23</xref>); Guan WJ et al. reported that 83.2% of nonpregnant patients had lymphopenia, and severe patients were more obvious (<xref ref-type="bibr" rid="ref39">39</xref>). Research by Lee J. et al. suggests that lymphopenia and its severity can be a reliable predictor of clinical outcome for COVID-19, with lower lymphocyte counts predicting more severe disease and increased need for therapeutic intervention (<xref ref-type="bibr" rid="ref40">40</xref>). Whether lymphopenia is a predictor of COVID-19 in pregnancy requires further research and more data.</p>
<p>Hypercoagulable status during pregnancy is determined by increased prothrombotic factors (VII, VIII, X, XII, v-W factor F) and fibrinogen, decreased S protein and fibrinolysis, and detection of coagulation function Changes, fibrinogen and D-dimer increase, and APTT shortens (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). The laboratory results of this study showed that the positive group had prolonged APTT and PT, and decreased fibrinogen and platelet counts, which were different compared with the negative group. The study of Pluta J. et al. showed that the most commonly observed changes in the coagulation system caused by COVID-19 were D-dimer, elevated fibrinogen, prolonged clotting time, no severe thrombocytopenia, and coagulation abnormalities DIC (disseminated intravascular coagulation) and SIC (coagulopathy due to sepsis) diagnostic criteria, described as COVID-19-related coagulopathy (<xref ref-type="bibr" rid="ref43">43</xref>). COVID-19 variant infection has an impact on coagulation function, but they are all within the normal range, there is no difference in the risk of postpartum hemorrhage, and there is a risk of promoting thrombosis.</p>
<p>In this study, there was no anticoagulation during pregnancy and postpartum, and no thrombotic events occurred in either group. Thrombotic complications in patients with COVID-19 are pulmonary microvascular thrombosis (immunothrombosis) (<xref ref-type="bibr" rid="ref44">44</xref>) or deep vein thrombosis (<xref ref-type="bibr" rid="ref45">45</xref>). Changes in thrombotic and fibrinolytic may persist up to 3&#x2009;months postpartum and then return to pre-pregnancy status (<xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref47">47</xref>). Studies have not shown an increased incidence of VTE or immunothrombosis in patients with COVID-19, and no VTE events have been reported during treatment with prophylactic and therapeutic unfractionated heparin (UFH) or LMWH, Physical methods during pregnancy and postpartum and appropriate postpartum activity are important methods for preventing blood clots, and more clinical research is needed for routine medical prophylaxis. Given the risks, prophylactic anticoagulation in pregnant women with C covid-19 infection remains uncertain.</p>
<p>The most common cause of neonatal admission to NICU is respiratory distress, and risk factors for neonatal respiratory distress include prematurity, cloudy amniotic fluid, maternal diabetic chorioamnionitis, oligohydramnios, or structural lung abnormalities (<xref ref-type="bibr" rid="ref48">48</xref>). In this study, the incidence of amniotic fluid opacity increased in the positive group, but there was no increase in complications such as neonatal respiratory distress, and there was no difference in NICU occupancy. Considering respiratory contagiousness, newborns were transferred to a neonatal isolation area for unified nursing care after birth, and COVID-19 PCR was tested daily by nasopharyngeal swab for two consecutive days to rule out vertical transmission or close horizontal transmission from the mother after delivery. No positive results for vertical transmission were observed. Previous studies have described positive rates of 2 to 4.4 percent of neonatal COVID-19 PCR tests at delivery (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref49 ref50 ref51">49&#x2013;51</xref>), but vary widely, PCR tests of COVID-19 such as amniotic fluid, cord blood, placenta, and breast milk have found no evidence of vertical transmission (<xref ref-type="bibr" rid="ref52 ref53 ref54">52&#x2013;54</xref>), and further research is needed.</p>
<p>Dicategorical univariate logistic regression analysis was used to screen for factors at risk of C-19 infection in pregnancy, and the susceptibility of both groups to COVID-19 infection. There was no difference, and pregnancy did not increase the risk of COVID-19. However, after infection with the virus, the incidence of cesarean section in patients with gestational diabetes increased by 4.01 times. Consistent with the findings of Helmut J. Kleinwechter et al. women with gestational diabetes have an increased risk of susceptibility to COVID-19 and severe disease, and adverse maternal outcomes are more common (<xref ref-type="bibr" rid="ref55">55</xref>). Previous studies have also suggested that patients with underlying medical conditions (eg, hypertension, diabetes, obesity) are not only associated with disease severity, but also increase perinatal adverse outcomes (<xref ref-type="bibr" rid="ref56">56</xref>, <xref ref-type="bibr" rid="ref57">57</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec12"><label>5</label>
<title>Conclusion</title>
<p>This study showed that most patients infected with the Omicron variant during pregnancy developed symptoms, and the rate of severe and critical cases decreased significantly. Viral infection can affect the coagulation system, and lymphopenia and severity may be related to disease and prognosis; Compared with the non-viral group, viral infections increased cesarean section rates, but there was no difference in the incidence of preterm birth, particularly in pregnant women with gestational diabetes, where infection led to a fourfold increase in the incidence of cesarean section. There was no difference in neonatal complications, there was no evidence of vertical infection, and separate care for mother and infant may help reduce the risk of neonatal infection.</p>
<p>The shortcomings of this study are that the admission cases are single-center data of the unit, and the inclusion of more data from other medical centers in the region or even in the region helps to reflect the conclusions more realistically, especially the conclusion that infection in gestational diabetes patients increases the incidence of cesarean section; Data on the symptoms and prognosis of the long coronavirus after infection during pregnancy are limited and longer follow-up is required.</p>
</sec>
<sec sec-type="data-availability" id="sec13">
<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 authors.</p>
</sec>
<sec sec-type="ethics-statement" id="sec14">
<title>Ethics statement</title>
<p>The studies involving humans were approved by this study was reviewed and approved by the Medical Ethics Committee of Guangdong Maternal and Child Health Care Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec15">
<title>Author contributions</title>
<p>HX: Conceived the original idea, Provides data collection and data analysis, Writing&#x2014;original draft. CC: Provides data collection and data analysis, Writing&#x2014;original draft. SH: Contributed tables to the manuscript, Writing&#x2014;review &#x0026; editing. WZ: Contributed tables to the manuscript, Writing&#x2014;review &#x0026; editing. SC: Conceived the original idea, Writing&#x2014;review &#x0026; editing. XH: Contributed tables to the manuscript, Writing&#x2014;review &#x0026; editing. YLu: Conceived and designed this study, Writing&#x2014;original draft. YLi: Conceived and designed this study, Writing&#x2014;original draft. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec16">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by Guangdong Medical Science and Technology Research Foundation (A2023462).</p>
</sec>
<sec sec-type="COI-statement" id="sec17">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
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