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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.2021.634573</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>Risk Factors and Reasons for Treatment Abandonment for Patients With Esophageal Atresia: A Study From a Tertiary Care Hospital in Beijing, China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Shen</given-names></name>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/599994/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liao</surname> <given-names>Junmin</given-names></name>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1152889/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Siqi</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1179349/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hua</surname> <given-names>Kaiyun</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Peize</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Yanan</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1171975/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhao</surname> <given-names>Yong</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Gu</surname> <given-names>Yichao</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Shuangshuang</given-names></name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Huang</surname> <given-names>Jinshi</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
</contrib-group>
<aff><institution>Department of Neonatal Surgery, National Center for Children&#x00027;s Health, Beijing Children&#x00027;s Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Pablo Andr&#x000E9;s Lobos, Italian Hospital of Buenos Aires, Argentina</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Frederic Gottrand, H&#x000F4;pital Jeanne de Flandre, France; Patricio Hernan Herrera, Hospital Exequiel Gonz&#x000E1;lez Cort&#x000E9;s, Chile</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jinshi Huang <email>jsdr2002&#x00040;126.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Pediatric Surgery, a section of the journal Frontiers in Pediatrics</p></fn>
<fn fn-type="other" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>04</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>634573</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>11</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>03</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Yang, Liao, Li, Hua, Wang, Zhang, Zhao, Gu, Li and Huang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Yang, Liao, Li, Hua, Wang, Zhang, Zhao, Gu, Li and Huang</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:</bold> This study aims to identify the risk factors and reasons for treatment abandonment for patients with esophageal atresia (EA) in a tertiary care hospital in China.</p>
<p><bold>Methods:</bold> A retrospective study was conducted on 360 patients with EA admitted to Beijing Children&#x00027;s Hospital between January 1, 2007 and June 1, 2020. Medical records for treatment abandonment and non-treatment abandonment patients were compared. Univariate and multivariate logistic regression analyses were conducted to identify potential risk factors for treatment abandonment.</p>
<p><bold>Results:</bold> After the diagnosis of EA, parents of 107 patients refused surgical repair and discharged against medical advice, and 253 patients underwent surgical repair. Among these 253 patients, parents of 59 patients abandoned treatment after surgery; 52 patients were discharged in an unstable condition, and parents of seven patients abandoned resuscitation leading to death in the hospital. By comparing clinical characteristics between treatment abandonment before surgery (<italic>n</italic> = 107) and non-treatment abandonment (<italic>n</italic> = 253) groups, we found that mother&#x00027;s parity &#x0003E;1, unplanned admission to intensive care unit before surgery, associated anomalies, and Gross type A/B were significant independent risk factors for treatment abandonment before surgery. Furthermore, birth weight &#x0003C;2,545 g, being discharged from neonatal center/intensive care unit and other departments, unplanned admission to intensive care unit after surgery, operative time &#x0003E;133 min, admission before 2016, pneumothorax, and anastomotic leakage were significant independent risk factors for treatment abandonment after surgery. The reasons for treatment abandonment included financial difficulties, multiple malformations with poor prognosis, belief of incurability and concerns about the prognosis of the diseases, postoperative complications, and extensive length of intensive care unit stay.</p>
<p><bold>Conclusions:</bold> Treatment abandonment of children with EA/TEF is still a common and serious problem in China. This study showed that EA/TEF patients in critical conditions, with associated anomalies, Gross type A/B, and who had occurrence of complications had high-risk for treatment abandonment.</p></abstract>
<kwd-group>
<kwd>treatment abandonment</kwd>
<kwd>esophageal atresia</kwd>
<kwd>risk factors</kwd>
<kwd>reasons</kwd>
<kwd>children</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="9"/>
<word-count count="5412"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Esophageal atresia (EA) and tracheoesophageal fistula (TEF) is one of the most common congenital malformations of the esophagus, with an incidence of 1/2,500&#x02013;1/4,500 (<xref ref-type="bibr" rid="B1">1</xref>). The survival rate of EA/TEF without severe malformation reported in the relevant literature is higher than 90% (<xref ref-type="bibr" rid="B1">1</xref>). The prognosis for patients with EA/TEF has greatly improved with advances in surgical techniques and preoperative and postoperative care. However, short-term complications after EA/TEF repair include anastomotic leakage, anastomotic stricture, and recurrent TEF (<xref ref-type="bibr" rid="B2">2</xref>). Furthermore, EA/TEF is also associated with numerous long-term comorbidities that affect the esophagus and respiratory system (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>In developing countries including China, some parents of newborns with EA/TEF will choose to abandon treatment before or after the surgery. Possible reasons include the critical condition of the newborn, the combination of multiple malformations, family socioeconomic factors, and concerns about the prognosis of the disease. There is no doubt that treatment abandonment may lead to the worsening or death of patients and increase the chance of readmission.</p>
<p>In developed countries, any refusal or abandonment is likely to lead to health and social services intervening and court action might be taken to ensure that the child receives treatment. Unfortunately, such state support and intervention does not exist in China, and treatment refusal and abandonment remain common events. Treatment abandonment for children with EA/TEF is not merely a simple medical problem, but a complex challenge involving ethics, health economics, sociology and other fields. Many studies focus on the abandonment of treatment for children&#x00027;s cancer and analyze the risk factors (<xref ref-type="bibr" rid="B3">3</xref>&#x02013;<xref ref-type="bibr" rid="B5">5</xref>). However, few studies focus on treatment abandonment for EA/TEF in developing countries. This study aims to explore the relevant factors and reasons of treatment abandonment by reviewing medical records in our center.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Patients and Clinical Characteristics</title>
<p>We retrospectively collected the medical records of all patients with EA admitted to the Beijing Children&#x00027;s Hospital between January 1, 2007 and June 1, 2020. Their demographic information, preoperative assessments, operative details, and surgical complications were extracted from the electronic medical records and analyzed. Treatment abandonment was defined as abandonment before surgical repair of EA, or discharge against medical advice after surgery in an unstable condition (including refusal of resuscitation, impromptu removal of tracheal intubation, thoracic drainage, gastric tube, etc.), and signing of a treatment abandonment document (decision of parents to stop medical treatment for their child after discussion with medical staff). All methods were carried out in accordance with relevant guidelines and regulations, and the study was approved by the Medical Ethics Committee of Beijing Children&#x00027;s Hospital (2019-k-333). A waiver of consent was provided for the analyses conducted in this study.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Statistical analysis was performed by SPSS 22.0. Continuous variables were presented as the mean and standard deviation for normal distribution or median and interquartile range for non-normal distribution. Categorical variables were reported as counts and percentages. Two independent sample <italic>t</italic> tests and &#x003C7;<sup>2</sup> tests were used to compare characteristics between the treatment abandonment and non-treatment groups. Receiver operating characteristic (ROC) curve analysis was performed to determine the most appropriate cutoff values. Univariate and multivariate logistic regression analyses were conducted to select potentially useful characteristics for predicting treatment abandonment. <italic>P</italic> &#x0003C; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Patient Characteristics</title>
<p>In this study, 360 patients were included in the analysis (226 boys and 134 girls). These patients had a median gestational age of 39 weeks (range: 32 to 44 weeks) and a median birth weight of 2,925 g (range: 1,500&#x02013;4,500 g). Many patients were found to have other congenital diseases, including non-syndromic anomalies (<italic>n</italic> = 131), VACTERL syndrome (<italic>n</italic> = 33), chromosome abnormality (<italic>n</italic> = 3), syndromic diagnosis (<italic>n</italic> = 1), none anomalies (<italic>n</italic> = 153), and unknown (<italic>n</italic> = 39). According to the Gross classification, the types of initial EA/TEF were type A (<italic>n</italic> = 12), type B (<italic>n</italic> = 1), type C (<italic>n</italic> = 267), type D (<italic>n</italic> = 10), type E (<italic>n</italic> = 48), and unknown (<italic>n</italic> = 22).</p>
<p>After the diagnosis of EA/TEF, 253 patients underwent surgical repair and parents of 107 patients refused surgical repair and discharged against medical advice. The primary operations were performed <italic>via</italic> thoracoscopic (<italic>n</italic> = 68, including six operations that were converted to an open thoracotomy) or open (<italic>n</italic> = 177) approaches. In addition, eight patients only underwent exploratory surgery or gastrostomy and did not obtain esophageal continuity. Fifty-two patients were in an unstable condition after surgery when they were discharged against medical advice, and seven patients who refused resuscitation died in the hospital. Among the other 194 patients, after a median follow-up of 83 months (range: 5&#x02013;160 months), 160 patients survived, six died, and 28 were lost to follow-up.</p>
</sec>
<sec>
<title>Comparison Between Treatment Abandonment Before Surgery and Non-treatment Abandonment Groups</title>
<p>As shown in <xref ref-type="table" rid="T1">Table 1</xref>, by comparing clinical characteristics between treatment abandonment before surgery (<italic>n</italic> = 107) and non-treatment abandonment (<italic>n</italic> = 253) groups, we found significant differences in age at diagnosis, mother&#x00027;s gravidity and parity, existence of twin, mother&#x00027;s occupation, existence of a sibling, existence of an elder brother, urgency of admission, department of admission, department of discharge, unplanned admission to intensive care unit before surgery, Gross classification, associated anomalies, duration of hospital stay, duration of stay in intensive care unit, and hospitalization expense (all <italic>P</italic> &#x0003C; 0.05). However, there were no differences in other characteristics between the two groups (all <italic>P</italic> &#x0003E; 0.05).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Comparison between treatment abandonment before surgery and non-treatment abandonment groups.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>Treatment abandonment before surgery (<italic>n</italic> &#x0003D; 107)</bold></th>
<th valign="top" align="center"><bold>Non-treatment abandonment (<italic>n</italic> &#x0003D; 253)</bold></th>
<th valign="top" align="center"><bold>Results</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.269</td>
<td valign="top" align="center">0.604</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Boy</td>
<td valign="top" align="center">65 (60.7)</td>
<td valign="top" align="center">161 (63.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Girl</td>
<td valign="top" align="center">42 (39.3)</td>
<td valign="top" align="center">92 (36.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age at diagnosis (median, days)</td>
<td valign="top" align="center">1 (1, 3)</td>
<td valign="top" align="center">2 (1, 7)</td>
<td valign="top" align="center">&#x02212;4.004</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Birth weight (mean, g)</td>
<td valign="top" align="center">2,850 &#x000B1; 540</td>
<td valign="top" align="center">2,924 &#x000B1; 493</td>
<td valign="top" align="center">&#x02212;1.267</td>
<td valign="top" align="center">0.206</td>
</tr>
<tr>
<td valign="top" align="left">Gestational age (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">1.560</td>
<td valign="top" align="center">0.212</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Preterm</td>
<td valign="top" align="center">15 (14.7)</td>
<td valign="top" align="center">25 (10.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Term/overdue</td>
<td valign="top" align="center">87 (85.3)</td>
<td valign="top" align="center">224 (90.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mode of delivery (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">2.346</td>
<td valign="top" align="center">0.126</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Cesarean delivery</td>
<td valign="top" align="center">57 (55.9)</td>
<td valign="top" align="center">159 (64.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Spontaneous vaginal delivery</td>
<td valign="top" align="center">45 (44.1)</td>
<td valign="top" align="center">87 (35.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gravidity (median)</td>
<td valign="top" align="center">2.0 (1.0, 3.0)</td>
<td valign="top" align="center">2.0 (1.0, 3.0)</td>
<td valign="top" align="center">&#x02212;2.739</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">Parity (median)</td>
<td valign="top" align="center">2.0 (1.0, 2.0)</td>
<td valign="top" align="center">2.0 (1.0, 2.0)</td>
<td valign="top" align="center">&#x02212;2.740</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">Twin (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">5.346</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">100 (100.0)</td>
<td valign="top" align="center">233 (93.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">16 (6.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Geographic location (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">2.828</td>
<td valign="top" align="center">0.093</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;City</td>
<td valign="top" align="center">45 (42.5)</td>
<td valign="top" align="center">131 (52.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Village</td>
<td valign="top" align="center">61 (57.5)</td>
<td valign="top" align="center">120 (47.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Father&#x00027;s occupation (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">4.295</td>
<td valign="top" align="center">0.117</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Office staff/vendor/worker</td>
<td valign="top" align="center">34 (55.7)</td>
<td valign="top" align="center">125 (70.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Farmer</td>
<td valign="top" align="center">17 (27.9)</td>
<td valign="top" align="center">34 (19.1)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Unemployed</td>
<td valign="top" align="center">10 (16.4)</td>
<td valign="top" align="center">19 (10.7)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mother&#x00027;s occupation (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">7.632</td>
<td valign="top" align="center">0.022</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Office staff/vendor/worker</td>
<td valign="top" align="center">17 (31.5)</td>
<td valign="top" align="center">88 (51.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Farmer</td>
<td valign="top" align="center">18 (33.3)</td>
<td valign="top" align="center">33 (19.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Unemployed</td>
<td valign="top" align="center">19 (35.2)</td>
<td valign="top" align="center">49 (28.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Father&#x00027;s age (median, years)</td>
<td valign="top" align="center">30 (26, 34)</td>
<td valign="top" align="center">30 (27, 35)</td>
<td valign="top" align="center">&#x02212;0.434</td>
<td valign="top" align="center">0.664</td>
</tr>
<tr>
<td valign="top" align="left">Mother&#x00027;s age (median, years)</td>
<td valign="top" align="center">28 (25, 33)</td>
<td valign="top" align="center">29 (26, 33)</td>
<td valign="top" align="center">&#x02212;0.405</td>
<td valign="top" align="center">0.686</td>
</tr>
<tr>
<td valign="top" align="left">Siblings (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">8.477</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">56 (54.4)</td>
<td valign="top" align="center">93 (37.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">47 (45.6)</td>
<td valign="top" align="center">155 (62.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Elder brother (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">10.553</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">26 (27.7)</td>
<td valign="top" align="center">28 (12.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">68 (72.3)</td>
<td valign="top" align="center">194 (87.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Elder sister (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">2.329</td>
<td valign="top" align="center">0.127</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">25 (26.6)</td>
<td valign="top" align="center">42 (18.9)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">69 (73.4)</td>
<td valign="top" align="center">180 (81.1)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Urgency of admission (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">11.540</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Emergency</td>
<td valign="top" align="center">92 (86.0)</td>
<td valign="top" align="center">174 (68.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Planned</td>
<td valign="top" align="center">15 (14.0)</td>
<td valign="top" align="center">79 (31.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Department of admission (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">25.975</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Neonatal surgery</td>
<td valign="top" align="center">46 (43.0)</td>
<td valign="top" align="center">168 (66.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Neonatal center/intensive care unit</td>
<td valign="top" align="center">58 (54.2)</td>
<td valign="top" align="center">67 (26.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Others</td>
<td valign="top" align="center">3 (2.8)</td>
<td valign="top" align="center">18 (7.1)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Department of discharge (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">12.678</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Neonatal surgery</td>
<td valign="top" align="center">43 (40.2)</td>
<td valign="top" align="center">142 (56.1)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Neonatal center/intensive care unit</td>
<td valign="top" align="center">61 (57.0)</td>
<td valign="top" align="center">94 (37.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Others</td>
<td valign="top" align="center">3 (2.8)</td>
<td valign="top" align="center">17 (6.7)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Unplanned admission to intensive care unit before surgery (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">28.448</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">54 (50.5)</td>
<td valign="top" align="center">56 (22.1)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">53 (49.5)</td>
<td valign="top" align="center">197 (77.9)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mechanical ventilation before surgery (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">2.806</td>
<td valign="top" align="center">0.094</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">14 (13.1)</td>
<td valign="top" align="center">19 (7.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">93 (86.9)</td>
<td valign="top" align="center">234 (92.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Health insurance (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.065</td>
<td valign="top" align="center">0.799</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">106 (99.1)</td>
<td valign="top" align="center">248 (98.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">1 (0.9)</td>
<td valign="top" align="center">5 (2.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Year of admission (<italic>n</italic>, %)</td>
<td valign="top" align="center">2013 (2010, 2016)</td>
<td valign="top" align="center">2013 (2009, 2017)</td>
<td valign="top" align="center">&#x02212;0.361</td>
<td valign="top" align="center">0.718</td>
</tr>
<tr>
<td valign="top" align="left">Gross classification (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">11.385</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;A/B</td>
<td valign="top" align="center">7 (8.2)</td>
<td valign="top" align="center">6 (2.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;C/D</td>
<td valign="top" align="center">73 (85.9)</td>
<td valign="top" align="center">204 (80.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;E</td>
<td valign="top" align="center">5 (5.9)</td>
<td valign="top" align="center">43 (17.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Associated anomalies (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">22.506</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">56 (76.7)</td>
<td valign="top" align="center">112 (45.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">17 (23.3)</td>
<td valign="top" align="center">136 (54.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Duration of hospital stay (median, day)</td>
<td valign="top" align="center">1 (1, 2)</td>
<td valign="top" align="center">22 (16, 31)</td>
<td valign="top" align="center">&#x02212;14.560</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Duration of stay in intensive care unit (median, day)</td>
<td valign="top" align="center">0 (0, 1)</td>
<td valign="top" align="center">7 (7, 19)</td>
<td valign="top" align="center">&#x02212;8.267</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Hospitalization expense (median, CNY)</td>
<td valign="top" align="center">3,763.1 (2,168.2, 6,965.1)</td>
<td valign="top" align="center">42,673.1 (24,309.4, 65,877.5)</td>
<td valign="top" align="center">&#x02212;14.472</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Risk Factors and Reasons for Treatment Abandonment Before Surgery</title>
<p>In order to find the risk factors for treatment abandonment before surgery, we conducted a multivariate analysis. ROC curve analysis was used to determine the stratification value for age at diagnosis, as well as mother&#x00027;s gravidity and parity according to the maximum combined sensitivity and specificity values. The cutoff values for the above characteristics were 4 days, 1, and 1, respectively. As shown in <xref ref-type="table" rid="T2">Table 2</xref>, multivariate analysis showed that parity &#x0003E;1, unplanned admission to intensive care unit before surgery, associated anomalies, and Gross type A/B were significant independent risk factors for treatment abandonment before surgery.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Multivariate logistic regression analysis of prediction of treatment abandonment before surgery.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>Estimate</bold></th>
<th valign="top" align="center"><bold>Standard error</bold></th>
<th valign="top" align="center"><bold>Wald</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Parity &#x0003E;1</td>
<td valign="top" align="center">1.108</td>
<td valign="top" align="center">0.330</td>
<td valign="top" align="center">11.252</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">3.029 (1.585, 5.789)</td>
</tr>
<tr>
<td valign="top" align="left">Unplanned admission to intensive care unit before surgery</td>
<td valign="top" align="center">1.494</td>
<td valign="top" align="center">0.332</td>
<td valign="top" align="center">20.250</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">4.454 (2.324, 8.536)</td>
</tr>
<tr>
<td valign="top" align="left">Associated anomalies</td>
<td valign="top" align="center">1.040</td>
<td valign="top" align="center">0.346</td>
<td valign="top" align="center">9.059</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">2.830 (1.437, 5.572)</td>
</tr>
<tr>
<td valign="top" align="left">Gross type A/B</td>
<td valign="top" align="center">1.694</td>
<td valign="top" align="center">0.668</td>
<td valign="top" align="center">6.421</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">5.441 (1.468, 20.167)</td>
</tr>
<tr>
<td valign="top" align="left">Gross type E</td>
<td valign="top" align="center">&#x02212;0.988</td>
<td valign="top" align="center">0.583</td>
<td valign="top" align="center">2.876</td>
<td valign="top" align="center">0.090</td>
<td valign="top" align="center">0.372 (0.119, 1.166)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>According to the electronic medical records, the reasons for 107 patients who abandoned treatment before surgery included financial difficulties (<italic>n</italic> = 10), multiple malformations with poor prognosis (<italic>n</italic> = 9), belief in incurability and concerns about the prognosis of the diseases (<italic>n</italic> = 20), and unknown (<italic>n</italic> = 74).</p>
</sec>
<sec>
<title>Comparison Between Treatment Abandonment After Surgery and Non-treatment Abandonment Groups</title>
<p>As shown in <xref ref-type="table" rid="T3">Table 3</xref>, by comparing clinical characteristics between treatment abandonment after surgery (<italic>n</italic> = 59) and non-treatment abandonment (<italic>n</italic> = 194) groups, we found significant differences in age at diagnosis, birth weight, department of discharge, year of admission, distance between the proximal and distal esophageal pouches, length of hospital stay, hospitalization expense, unplanned admission to intensive care unit after surgery, type of surgery, operative time, option to feed before discharge, parenteral nutrition treatment, extubation before discharge, pneumothorax, and anastomotic leakage (all <italic>P</italic> &#x0003C; 0.05). However, there were no differences in other clinical characteristics between the two groups (all <italic>P</italic> &#x0003E; 0.05).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Comparison between treatment abandonment after surgery and non-treatment abandonment groups.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>Treatment abandonment after surgery (<italic>n</italic> &#x0003D; 59)</bold></th>
<th valign="top" align="center"><bold>Non-treatment abandonment (<italic>n</italic> &#x0003D; 194)</bold></th>
<th valign="top" align="center"><bold>Results</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.575</td>
<td valign="top" align="center">0.448</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Boy</td>
<td valign="top" align="center">40 (67.8)</td>
<td valign="top" align="center">121 (62.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Girl</td>
<td valign="top" align="center">19 (32.2)</td>
<td valign="top" align="center">73 (37.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age at diagnosis (median, days)</td>
<td valign="top" align="center">2 (1, 3)</td>
<td valign="top" align="center">2 (1, 10)</td>
<td valign="top" align="center">&#x02212;2.587</td>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td valign="top" align="left">Birth weight (median, g)</td>
<td valign="top" align="center">2,805 &#x000B1; 531</td>
<td valign="top" align="center">2,960 &#x000B1; 477</td>
<td valign="top" align="center">&#x02212;2.100</td>
<td valign="top" align="center">0.037</td>
</tr>
<tr>
<td valign="top" align="left">Gestational age (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.345</td>
<td valign="top" align="center">0.557</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Preterm</td>
<td valign="top" align="center">7 (12.1)</td>
<td valign="top" align="center">18 (9.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Term/overdue</td>
<td valign="top" align="center">51 (87.9)</td>
<td valign="top" align="center">173 (90.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mode of delivery (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center">0.798</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Cesarean delivery</td>
<td valign="top" align="center">37 (66.1)</td>
<td valign="top" align="center">122 (64.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Spontaneous vaginal delivery</td>
<td valign="top" align="center">19 (33.9)</td>
<td valign="top" align="center">68 (35.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gravidity (median)</td>
<td valign="top" align="center">1 (1, 2)</td>
<td valign="top" align="center">1 (1, 2)</td>
<td valign="top" align="center">&#x02212;0.188</td>
<td valign="top" align="center">0.851</td>
</tr>
<tr>
<td valign="top" align="left">Parity (median)</td>
<td valign="top" align="center">2 (1, 3)</td>
<td valign="top" align="center">2 (1, 2)</td>
<td valign="top" align="center">&#x02212;0.699</td>
<td valign="top" align="center">0.484</td>
</tr>
<tr>
<td valign="top" align="left">Twin (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.223</td>
<td valign="top" align="center">0.636</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">53 (91.4)</td>
<td valign="top" align="center">180 (94.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">5 (8.6)</td>
<td valign="top" align="center">11 (5.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Geographic location (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.693</td>
<td valign="top" align="center">0.405</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;City</td>
<td valign="top" align="center">28 (47.5)</td>
<td valign="top" align="center">103 (53.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Village</td>
<td valign="top" align="center">31 (52.5)</td>
<td valign="top" align="center">89 (46.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Father&#x00027;s occupation (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.480</td>
<td valign="top" align="center">0.855</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Office staff/vendor/worker</td>
<td valign="top" align="center">33 (69.2)</td>
<td valign="top" align="center">92 (69.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Farmer</td>
<td valign="top" align="center">7 (15.6)</td>
<td valign="top" align="center">27 (20.3)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Unemployed</td>
<td valign="top" align="center">5 (11.1)</td>
<td valign="top" align="center">14 (10.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mother&#x00027;s occupation (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">1.242</td>
<td valign="top" align="center">0.537</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Office staff/vendor/worker</td>
<td valign="top" align="center">18 (46.2)</td>
<td valign="top" align="center">70 (53.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Farmer</td>
<td valign="top" align="center">7 (17.9)</td>
<td valign="top" align="center">26 (19.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Unemployed</td>
<td valign="top" align="center">14 (35.9)</td>
<td valign="top" align="center">35 (26.7)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Father&#x00027;s age (median, years)</td>
<td valign="top" align="center">28 (27, 33)</td>
<td valign="top" align="center">31 (27, 35)</td>
<td valign="top" align="center">&#x02212;1.579</td>
<td valign="top" align="center">0.114</td>
</tr>
<tr>
<td valign="top" align="left">Mother&#x00027;s age (median, years)</td>
<td valign="top" align="center">28 (25, 28)</td>
<td valign="top" align="center">29.0 (26, 33)</td>
<td valign="top" align="center">&#x02212;1.518</td>
<td valign="top" align="center">0.129</td>
</tr>
<tr>
<td valign="top" align="left">Siblings (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">0.938</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">22 (37.9)</td>
<td valign="top" align="center">71 (37.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">36 (62.1)</td>
<td valign="top" align="center">119 (62.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Elder brother (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.473</td>
<td valign="top" align="center">0.491</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">8 (15.4)</td>
<td valign="top" align="center">20 (11.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">44 (84.6)</td>
<td valign="top" align="center">150 (88.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Elder sister (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.553</td>
<td valign="top" align="center">0.457</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">8 (15.4)</td>
<td valign="top" align="center">34 (20.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">44 (84.6)</td>
<td valign="top" align="center">136 (80.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Urgency of admission (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">1.206</td>
<td valign="top" align="center">0.272</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Emergency</td>
<td valign="top" align="center">44 (74.6)</td>
<td valign="top" align="center">130 (67.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Planned</td>
<td valign="top" align="center">15 (25.4)</td>
<td valign="top" align="center">64 (33.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Department of admission (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">1.578</td>
<td valign="top" align="center">0.448</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Neonatal surgery</td>
<td valign="top" align="center">42 (71.2)</td>
<td valign="top" align="center">126 (64.9)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Neonatal center/ Intensive care unit</td>
<td valign="top" align="center">15 (25.4)</td>
<td valign="top" align="center">52 (26.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Others</td>
<td valign="top" align="center">2 (3.4)</td>
<td valign="top" align="center">16 (8.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Department of discharge (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">44.759</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Neonatal surgery</td>
<td valign="top" align="center">13 (22.0)</td>
<td valign="top" align="center">129 (66.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Neonatal center/intensive care unit</td>
<td valign="top" align="center">44 (74.6)</td>
<td valign="top" align="center">50 (25.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Others</td>
<td valign="top" align="center">2 (3.4)</td>
<td valign="top" align="center">15 (7.7)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Unplanned admission to intensive care unit before surgery (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.544</td>
<td valign="top" align="center">0.461</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">11 (18.6)</td>
<td valign="top" align="center">45 (23.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">48 (81.4)</td>
<td valign="top" align="center">149 (76.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mechanical ventilation before surgery (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.276</td>
<td valign="top" align="center">0.600</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">3 (5.1)</td>
<td valign="top" align="center">16 (8.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">56 (94.9)</td>
<td valign="top" align="center">178 (91.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Health insurance (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">0.506</td>
<td valign="top" align="center">0.477</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">59 (100)</td>
<td valign="top" align="center">189 (97.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">5 (2.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Year of admission (<italic>n</italic>, %)</td>
<td valign="top" align="center">2011 (2009, 2014)</td>
<td valign="top" align="center">2014 (20010, 2018)</td>
<td valign="top" align="center">&#x02212;2.666</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">Gross classification (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">2.562</td>
<td valign="top" align="center">0.109</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;C</td>
<td valign="top" align="center">50 (84.7)</td>
<td valign="top" align="center">145 (74.7)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;A/B/D/E</td>
<td valign="top" align="center">9 (15.3)</td>
<td valign="top" align="center">49 (25.3)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Distance between the proximal and distal esophageal pouches (median, cm)</td>
<td valign="top" align="center">2.0 (1.0, 3.0)</td>
<td valign="top" align="center">1.5 (1.0, 2.2)</td>
<td valign="top" align="center">&#x02212;2.528</td>
<td valign="top" align="center">0.011</td>
</tr>
<tr>
<td valign="top" align="left">Associated anomalies (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">2.034</td>
<td valign="top" align="center">0.154</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">29 (53.7)</td>
<td valign="top" align="center">83 (42.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">25 (46.3)</td>
<td valign="top" align="center">111 (57.2)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Duration of hospital stay (median, day)</td>
<td valign="top" align="center">11 (5, 20)</td>
<td valign="top" align="center">24 (18, 33)</td>
<td valign="top" align="center">&#x02212;7.337</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Duration of stay in intensive care unit (median, day)</td>
<td valign="top" align="center">5 (1, 11)</td>
<td valign="top" align="center">8 (0, 21)</td>
<td valign="top" align="center">&#x02212;1.404</td>
<td valign="top" align="center">0.160</td>
</tr>
<tr>
<td valign="top" align="left">Hospitalization expense (median, CNY)</td>
<td valign="top" align="center">31,081.1 (16,140.5, 43,454.2)</td>
<td valign="top" align="center">48,327.4 (25,840.1, 70,508.7)</td>
<td valign="top" align="center">&#x02212;4.244</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Planned admission to intensive care unit after surgery (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">1.099</td>
<td valign="top" align="center">0.294</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">24 (40.7)</td>
<td valign="top" align="center">94 (48.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">35 (59.3)</td>
<td valign="top" align="center">100 (51.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Unplanned admission to intensive care unit after surgery (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">38.631</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">23 (39.0)</td>
<td valign="top" align="center">13 (6.7)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">36 (61.0)</td>
<td valign="top" align="center">181 (93.3)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Type of surgery (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">6.633</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Thoracoscopy</td>
<td valign="top" align="center">9 (15.3)<italic><xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></italic></td>
<td valign="top" align="center">55 (28.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Open surgery</td>
<td valign="top" align="center">46 (78.0)<italic><xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></italic></td>
<td valign="top" align="center">135 (69.6)<italic><xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></italic></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Converted</td>
<td valign="top" align="center">4 (6.8)<italic><xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></italic></td>
<td valign="top" align="center">4 (2.1)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Operative time (median, min)</td>
<td valign="top" align="center">150.7 &#x000B1; 54.6</td>
<td valign="top" align="center">127.5 &#x000B1; 44.6</td>
<td valign="top" align="center">&#x02212;3.076</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">Option to feed before discharge (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">194.125</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Full oral</td>
<td valign="top" align="center">3 (5.2)</td>
<td valign="top" align="center">159 (82.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Tube feeding</td>
<td valign="top" align="center">1 (1.7)</td>
<td valign="top" align="center">27 (14.0)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Total parenteral nutrition</td>
<td valign="top" align="center">54 (93.1)</td>
<td valign="top" align="center">7 (3.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Parenteral nutrition treatment (median, days)</td>
<td valign="top" align="center">8 (4, 17)</td>
<td valign="top" align="center">16 (11, 23)</td>
<td valign="top" align="center">&#x02212;8.543</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Duration of mechanical ventilation (median, day)</td>
<td valign="top" align="center">50 (0, 191)</td>
<td valign="top" align="center">43 (0, 142)</td>
<td valign="top" align="center">&#x02212;1.305</td>
<td valign="top" align="center">0.192</td>
</tr>
<tr>
<td valign="top" align="left">Extubation before discharge (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">6.216</td>
<td valign="top" align="center">0.013</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">55 (93.2)</td>
<td valign="top" align="center">193 (99.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">4 (6.8)</td>
<td valign="top" align="center">1 (0.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pneumothorax (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">35.888</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">36 (72.0)</td>
<td valign="top" align="center">51 (26.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">14 (28.0)</td>
<td valign="top" align="center">142 (73.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anastomotic leakage (<italic>n</italic>, %)</td>
<td/>
<td/>
<td valign="top" align="center">18.317</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">29 (61.7)</td>
<td valign="top" align="center">55 (28.5)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">18 (38.3)</td>
<td valign="top" align="center">138 (71.5)</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>a</label><p><italic>Two patients only underwent exploratory surgery</italic>.</p></fn>
<fn id="TN2"><label>b</label><p><italic>One patient only underwent exploratory surgery and two patients only underwent gastrostomy</italic>.</p></fn>
<fn id="TN3"><label>c</label><p><italic>One patient underwent staged gastrostomy and died of pneumonia 1 month after operation</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Risk Factors and Reasons for Treatment Abandonment After Surgery</title>
<p>In order to find the risk factors for treatment abandonment after surgery, we conducted a multivariate analysis. ROC curve analysis was used to determine the stratification value for age at diagnosis, birth weight, year of admission, distance, and operative time according to the maximum combined sensitivity and specificity values. The cutoff values for the above characteristics were 4 days, 2,545 g, 2016, 2.9 cm, and 133 min, respectively. As shown in <xref ref-type="table" rid="T4">Table 4</xref>, multivariate analysis showed that birth weight &#x0003C;2,545 g, discharged from neonatal center/intensive care unit and other departments, unplanned admission to intensive care unit after surgery, operative time &#x0003E;133 min, admission before 2016, pneumothorax, and anastomotic leakage were significant independent risk factors for treatment abandonment after surgery.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Multivariate logistic regression analysis of prediction of treatment abandonment after surgery.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>Estimate</bold></th>
<th valign="top" align="center"><bold>Standard error</bold></th>
<th valign="top" align="center"><bold>Wald</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Birth weight &#x0003E;2,545 g</td>
<td valign="top" align="center">&#x02212;1.649</td>
<td valign="top" align="center">0.605</td>
<td valign="top" align="center">7.418</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">0.192 (0.059, 0.630)</td>
</tr>
<tr>
<td valign="top" align="left">Discharged from neonatal center/intensive care unit</td>
<td valign="top" align="center">2.465</td>
<td valign="top" align="center">0.547</td>
<td valign="top" align="center">27.370</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">17.491 (5.987, 51.101)</td>
</tr>
<tr>
<td valign="top" align="left">Discharged from other departments</td>
<td valign="top" align="center">3.152</td>
<td valign="top" align="center">1.063</td>
<td valign="top" align="center">8.796</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">23.392 (2.913, 187.855)</td>
</tr>
<tr>
<td valign="top" align="left">Unplanned admission to intensive care unit after surgery</td>
<td valign="top" align="center">2.135</td>
<td valign="top" align="center">0.573</td>
<td valign="top" align="center">13.898</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">8.459 (2.753, 25.992)</td>
</tr>
<tr>
<td valign="top" align="left">Operative time &#x0003E; 133 min</td>
<td valign="top" align="center">1.158</td>
<td valign="top" align="center">0.520</td>
<td valign="top" align="center">4.954</td>
<td valign="top" align="center">0.026</td>
<td valign="top" align="center">3.183 (1.148, 8.823)</td>
</tr>
<tr>
<td valign="top" align="left">Year of admission &#x0003E;2016</td>
<td valign="top" align="center">&#x02212;1.147</td>
<td valign="top" align="center">0.700</td>
<td valign="top" align="center">2.685</td>
<td valign="top" align="center">0.101</td>
<td valign="top" align="center">0.318 (0.081, 1.252)</td>
</tr>
<tr>
<td valign="top" align="left">Pneumothorax</td>
<td valign="top" align="center">1.790</td>
<td valign="top" align="center">0.552</td>
<td valign="top" align="center">10.494</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">5.987 (2.028, 17.676)</td>
</tr>
<tr>
<td valign="top" align="left">Anastomotic leakage</td>
<td valign="top" align="center">1.098</td>
<td valign="top" align="center">0.536</td>
<td valign="top" align="center">4.197</td>
<td valign="top" align="center">0.041</td>
<td valign="top" align="center">2.999 (1.049, 8.576)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>According to the electronic medical records, the reasons for 59 patients who abandoned treatment after surgery included postoperative complications (<italic>n</italic> = 50), financial difficulties (<italic>n</italic> = 2), excessive length of intensive care unit stay (<italic>n</italic> = 2), belief in incurability and concerns about the prognosis of the diseases (<italic>n</italic> = 7), multiple malformations with poor prognosis (<italic>n</italic> = 2), and unknown (<italic>n</italic> = 1).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>To our knowledge, this is the first study to explore risk factors and reasons for treatment abandonment of EA/TEF patients. This study showed that patients in critical condition, associated anomalies, Gross type A/B, and occurrence of complications were high-risk groups for treatment abandonment. Possible reasons included financial embarrassment, multisystem malformations, parents&#x00027; belief in incurability of the disease or anxieties toward poor outcome, and extensive length of intensive care unit stay.</p>
<p>A cross-sectional study concluded that age, gender, and geography location were the predictors of patients discharge against medical advice (DAMA) (<xref ref-type="bibr" rid="B6">6</xref>). A recent study from Australia found that predictors of DAMA were hospital site, a mental health/behavioral diagnosis, aboriginality, emergent rather than elective admissions, a gastrointestinal diagnosis, and a history of previous DAMA (<xref ref-type="bibr" rid="B7">7</xref>). A study associated with treatment abandonment of children with malignant solid tumors in Peru showed that rural origin and lack of formal parental employment were independently predictive of treatment abandonment (<xref ref-type="bibr" rid="B8">8</xref>). However, our findings were inconsistent with the above results. Possible explanations could be that the situation in China is different, and that EA/TEF, a congenital malformation of neonates, has completely different characteristics from the diseases reported in previous studies.</p>
<p>One of the most crucial reasons for treatment abandonment is financial embarrassment. China has developed a health reform plan which expanded insurance coverage to about 90% of the population and established a national essential medicine program. As a result, primary care services have improved and patients in both urban and rural areas all have access to basic healthcare. However, most newborns have no health insurance, so families in poverty cannot afford to pay for the treatment fee of these babies. When reviewing the medical records in this study, only a few parents mentioned that the reasons for treatment abandonment included financial difficulties, but in reality, it is a burden that continues to preside clinically. However, we were unable to obtain relevant information due to retrospective data collection and the associated difficulties in interviewing these parents. In addition, the information (geographic location, parents&#x00027; occupation, health insurance) that we included in the analysis of the risk factors for treatment abandonment was also closely related to family economic condition, but these factors did not show statistical significance between the two groups. Therefore, in future clinical work and research, more attention should be paid to income and education levels of the parents as well as other economic and social factors, as they are crucial for understanding the causes of treatment abandonment.</p>
<p>Another reason could be that in our country, most parents barely have any medical knowledge, and their understanding about the treatment, complications, and prognosis of the disease largely depends on the doctor&#x00027;s explanation and advice. Doctors play a very important role in helping parents understand the disease and subsequent medical choices. However, doctors from the emergency department and intensive care unit tend to receive patients who are in critical condition and thus are more likely to emphasize on poor prognosis and the high treatment cost. In addition to the severity of the patients&#x00027; disease, this also partly explained the higher proportion of treatment abandonment in patients who had been admitted into the intensive care unit. In order to minimize the subjective factors arising from various levels of EA/TEF recognition in doctors, we have formed a disease-explaining model for clinical use. Explanation of the disease is now a multidisciplinary discussion including surgical, emergency, and neonatal departments, aimed to provide parents with a more rounded and balanced understanding.</p>
<p>In China, the success rate of EA/TEF has generally improved. In particular, the survival rate of type C EA/TEF without severe malformation reported in the relevant literature is higher than 90% (<xref ref-type="bibr" rid="B9">9</xref>). Nonetheless, this disease still has many postoperative complications, including anastomotic stricture (9&#x02013;80%), anastomotic leakage (5&#x02013;20%), and recurrent TEF (5&#x02013;10%) (<xref ref-type="bibr" rid="B9">9</xref>&#x02013;<xref ref-type="bibr" rid="B26">26</xref>). In this study, we also found that severe postoperative complications and excessive length of intensive care unit stay were vital reasons leading to abandoning treatment after surgery. According to our long-term follow-up and observation, prevention and treatment of postoperative complications are the key to prevent poor long-term outcome and avoid treatment abandonment after surgery. As shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>, since 2016, there has been a significant change in the proportion of abandonment after surgery, from 20.31 to 6.73%. Between 2015 and 2016, with the progress of surgical technology and nursing methods, standardized and multidisciplinary EA/TEF management, close cooperation and communication between the intensive care unit department and parents, the improvement of parents&#x00027; economic and education level, and improvement of medical insurance system, there has been great progress in the treatment of EA/TEF which has resulted in the sharp decline of abandonment after surgery.</p>
<p>There is no report on the topic of treatment abandonment for EA/TEF, but treatment refusal and abandonment continue to be big challenges in China, as demonstrated from domestic research on abandonment of treatment. Based on the above analysis, we suggest the following clinical actions to avoid abandonment of treatment as much as possible. First, parents and physicians should regularly communicate with each other about the overall assessment of the patient&#x00027;s condition, the family&#x00027;s expectation, and the physician&#x00027;s experiences. Inaccurate or missing information may skew their understanding and affect their decisions. Second, timely and systematic health education should be carried out to avoid treatment abandonment due to parents&#x00027; misunderstanding of the disease. EA/TEF is not incurable. Third, improvement of surgical technology and nursing methods, as well as prevention and treatment of postoperative complications, are the key to prevent poor prognosis and avoid treatment abandonment after surgery. Although very common, attentive care and active treatment of postoperative complications have significantly increased the success rate. Finally, although medical insurance system has improved significantly, China is still a developing country, and most cities are still in the low-income level. Thus, we should provide poor parents with funding, or help with online fund-raising and other such means to help them out of the financial difficulties.</p>
<p>One of the limitations of the study is that our single-center retrospective study cannot fully represent the overall situation of China. Although abandonment of treatment is faced with ethical, socioeconomic, and legal issues, it is still an important topic worthy of in-depth study. The other limitations include a lack of detailed records for the reasons for abandonment, and no follow-up investigations for the patients who abandoned treatment. Due to the limitations of this study, we will conduct qualitative studies to further explore the reasons for treatment abandonment.</p>
<p>In conclusion, this study provides us with a better understanding of the risk factors and reasons for treatment abandonment for patients with EA/TEF. With the conclusions we have arrived at through this analysis, we aim to further improve the level of clinical diagnosis and treatment, apply for subsidies for families with financial difficulties, spread relevant knowledge of EA/TEF to primary hospitals, maternity hospitals, and the public, and formulate management policies to prevent abandonment of treatment and protect these children in the future.</p>
</sec>
<sec sec-type="data-availability-statement" id="s5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Medical Ethics Committee of Beijing Children&#x00027;s Hospital (2019-k-333). Written informed consent from the participants&#x00027; legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>JH and SY: study conception and design. SiL, PW, and YZhao: data acquisition. KH, YZhan, YG, and ShL: analysis and data interpretation. SY and JL: drafting of the manuscript. All authors contributed to the article and approved the submitted version.</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>
<back>
<sec sec-type="supplementary-material" id="s8">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fped.2021.634573/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fped.2021.634573/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.TIF" id="SM1" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 1</label>
<caption><p>The proportion of treatment abandonment and non-treatment abandonment in different years.</p></caption> </supplementary-material>
</sec>
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