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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Surg.</journal-id>
<journal-title>Frontiers in Surgery</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Surg.</abbrev-journal-title>
<issn pub-type="epub">2296-875X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsurg.2021.735947</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Surgery</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effect of the Active Cycle of Breathing Technique on Perioperative Outcome in Individuals With Esophagectomy: A Quasi-Experimental Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Si-Wen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Lei-Lei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/840188/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Hong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1155937/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Chuan-Zhen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wei</surname> <given-names>Wei-Jin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Min</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ma</surname> <given-names>Guo-Wei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/891593/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhong</surname> <given-names>Jiu-Di</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1457819/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>The Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Guangdong Esophageal Cancer Institute</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Christopher William Seder, Rush University Medical Center, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Paul Willemsen, Hospital Network Antwerp (ZNA), Belgium; Luigi Bonavina, University of Milan, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Guo-Wei Ma <email>magw&#x00040;sysucc.org.cn</email></corresp>
<corresp id="c002">Jiu-Di Zhong <email>zhongjd&#x00040;sysucc.org.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Surgical Oncology, a section of the journal Frontiers in Surgery</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>735947</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>09</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Zhang, Wu, Yang, Li, Wei, Wang, Ma and Zhong.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Zhang, Wu, Yang, Li, Wei, Wang, Ma and Zhong</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> The effect of active cycle of breathing technique (ACBT) on EC patients has not been well elucidated. In this research, we aim to explore the effect of ACBT on the perioperative outcomes in patients with esophageal carcinoma who underwent esophagectomy.</p>
<p><bold>Methods:</bold> Patients who underwent esophagectomy in an academic institution from December 2017 to July 2019 were included in this study. In a quasi-experimental study, participants were randomly divided into an experimental group (active cycle of breathing technique, <italic>n</italic> = 107) and an observational group (<italic>n</italic> = 106) by drawing lots. The chi-squared test, Cochran&#x02013;Mantel&#x02013;Haenszel test, Logistic regression analysis, and Kruskal&#x02013;Wallis test were used to analyze data. A two-sided <italic>P</italic> value &#x0003C;0.05 was considered statistically significant. The primary observational endpoint was the mean weight of the sputum. Other outcomes included the six-min-walk test (6MWT), Borg scale, anastomotic leakage, and the length of hospital stay.</p>
<p><bold>Results:</bold> 95 patients underwent minimally invasive surgery, and 118 patients received open surgery. There were 16 patients with anastomotic leakage in the present study, and we found that patients in the observational group had higher odds of anastomotic leakage. The results showed that the mean weight of the sputum in the observation group was lighter than that of the experimental group. After esophagectomy, the experimental group had better outcomes than the observation group (Borg scale: 2.448 vs. 1.547; 6-MWT: 372.811 vs. 425.355m, all <italic>P</italic> &#x0003C; 0.05). The mean length of hospital stay was longer in the observation group (17.953 days) than that in the experimental group (12.037 days, <italic>P</italic> = 0.01). We also found that the observational group had a higher discharge ratio over 2 weeks in all cohort (adjusted OR 2.487, 95% confidence intervals 1.147&#x02013;5.392, <italic>P</italic> = 0.021).</p>
<p><bold>Conclusion:</bold> Active cycle of breathing technique may improve the perioperative outcomes and decrease the length of hospital stay after surgery in patients with esophageal cancer. However, we need more researches to validate these findings.</p></abstract>
<kwd-group>
<kwd>active cycle of breathing technique</kwd>
<kwd>perioperative outcome</kwd>
<kwd>esophageal carcinoma</kwd>
<kwd>anastomotic leakage</kwd>
<kwd>esophagectomy</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="25"/>
<page-count count="10"/>
<word-count count="4853"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Esophageal carcinoma (EC) is one of the most common malignancies worldwide, ranking seventh and sixth in terms of incidence and mortality in the world cancer spectrum, respectively (<xref ref-type="bibr" rid="B1">1</xref>). The major histological subtypes of EC include squamous cell carcinoma and adenocarcinoma, with esophageal squamous cell carcinoma accounting for most cases (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B3">3</xref>). At present, the treatment of esophageal cancer mainly includes surgery, radiotherapy, chemotherapy, and immunotherapy, and surgery is the main treatment. Despite improvements in minimally invasive treatment strategies (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>), surgery remains the mainstream curative management. However, esophagectomy is a complex procedure that has a high rate of postoperative mortality and morbidity, including pulmonary complications (<xref ref-type="bibr" rid="B6">6</xref>&#x02013;<xref ref-type="bibr" rid="B10">10</xref>). Because of complications, the length of hospital stay is significantly long. The duration of recovery in the perioperative period was consistent in patients with EC. In this period, patients always experience fatigue and pain (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>The weight of sputum is considered a predictive indicator of pulmonary complications (<xref ref-type="bibr" rid="B12">12</xref>). Several studies have indicated that sputum contains microorganisms that could cause diseases, such as pneumonia and systemic inflammatory response syndrome (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The Borg scale was used to assess the tolerance of patients who engage in aerobic exercises (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). The 6-min walk test (6-MWT) can be used to identify heart and lung function to some extent after surgery (<xref ref-type="bibr" rid="B16">16</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>). Moreover, the Borg scale and 6-MWT can be utilized to evaluate the recovery of patients after surgery.</p>
<p>In the beginning, the active cycle of breathing technique (ACBT) provides a short-term improvement in secretion clearance in individuals with lung diseases, particularly non-cystic fibrosis bronchiectasis and cystic fibrosis bronchiectasis (<xref ref-type="bibr" rid="B19">19</xref>&#x02013;<xref ref-type="bibr" rid="B24">24</xref>). In patients with cystic fibrosis, additional physical treatment, including ACBT, can improve muscle function, oxygen saturation, and small airway function and can reduce dyspnea. ACBT, which comprised breathing control and huff, was developed using the forced expiration technique and resulted in fast-track recovery after thoracic surgery. A typical ACBT is composed of breathing control, thoracic expansion exercises, and the forced expiration technique. The frequency of ACBT is flexible. However, all parts of the cycle must be included and interspersed with breathing control. A previous study has indicated that ACBT could increase the volume of sputum and the 6-MWT and Borg scale scores in patients with lung cancer who underwent lung resection (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>The current study focused on the effect of ACBT on the perioperative outcomes in patients with EC who underwent esophagectomy. The following clinical observational indicators were used to assess the effect of ACBT: the weight of sputum, length of hospital stay, Borg scale score, anastomotic leakage, and 6-MWT score.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Study Cohort</title>
<p>This study was approved by the ethics committee of Sun Yat-sen University Cancer Center (No. GYX2017-003). All patients signed the informed consent form. The study cohort comprised 213 patients from the Department of Thoracic Surgery in our hospital. Patients who were diagnosed of EC via histopathologic examination and underwent esophagectomy from December 2017 to July 2019 were recruited. Those patients did not receive neo-adjuvant therapy. In a quasi-experimental study, participants were randomly divided into an experimental group (active cycle of breathing technique, <italic>n</italic> = 107) and an observational group (<italic>n</italic> = 106) by drawing lots. In the cohort, predicted postoperative forced expiratory volume in 1 s of all patients was higher than 70%. The process of screening the patients is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. All patient records were anonymized before analyses. We included information about sex, age, surgical approach, pTNM stage, histological type, tumor location, the weight of sputum, the length of hospital stay, smoking index (the number of cigarettes a person smokes per day multiplied by the number of years of smoking), Borg scale score, and 6-MWT score.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>The follow chart of this research.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsurg-08-735947-g0001.tif"/>
</fig>
</sec>
<sec>
<title>ACBT, 6-MWT Score, Borg Scale Score, and Weight of Sputum</title>
<p>The patients in the observation group engaged in routine perioperative breathing exercises, including cough exercises and deep breathing. Before surgery, the patients in the observation group learned routine breathing exercises, and after surgery, they executed the coughing exercise three to five times per day, according to the postoperative rehabilitation instruction, with the help and guidance of a nurse. The patients in the ACBT group received ACBT training in addition to routine perioperative training. ACBT included thoracic expansion exercises, breathing control, and the forced expiration technique, interspersed with breathing control. The patients were instructed to repeat the cycle three to five times and even more if the treatment was tolerable, and each session lasted for 15&#x02013;20 min. The detailed approach was based on the study of Mei Yang (<xref ref-type="bibr" rid="B25">25</xref>). The patients assumed a relaxed seating or reclined position before starting (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>The sketch map of ACBT.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsurg-08-735947-g0002.tif"/>
</fig>
<p>The 6-MWT was performed before and 10 days after surgery by a registered nurse. The patients walked for 6 min on a closed, ruled corridor. All patients were informed of the purpose, method, and results of the study using the 6-MWT. According to previous research approaches, the patients were allowed to set the walking speed and to stop if needed, and they were instructed to walk as far as they could.</p>
<p>The Borg scale is a 10-point scale, where sitting is assigned a score of 0, moderate-intensity activity 5 or 6, and all-out effort 10. These items can identify obvious increases in heart rate and breathing rate. Using the same scale, vigorous-intensity activity is given a score of 7 or 8, which indicates significant increases in heart rate and breathing rate. The patients were evaluated using the Borg scale before and after surgery. To assess heart and lung function using the Borg scale, we used the 6-MWT as an aerobic exercise.</p>
<p>We collected sputum samples before and on the first, second, and third days after surgery in a clean sterile pot, and these samples were then weighed (New Health electronic balance, model 20161206, manufactured in China in 2016; accurate to 0.01 g).</p>
</sec>
<sec>
<title>Surgery</title>
<p>Surgeries were performed according to the following standard surgical approaches: Sweet, McKeown, and Ivor Lewis procedures. The study cohort all underwent thoracoabdominal lymphadenectomy.</p>
</sec>
<sec>
<title>Histological Type</title>
<p>The patients exhibited the following histological types: adenocarcinoma, squamous cell carcinoma, adenosquamous carcinoma, small-cell carcinoma, and melanoma.</p>
</sec>
<sec>
<title>Statistical Analyses</title>
<p>Statistical analyses were performed using the Statistical Package for the Social Sciences software version 25.0 (IBM SPSS, Inc., Chicago, IL, USA) and GraphPad Prism 8.0 (<ext-link ext-link-type="uri" xlink:href="https://www.graphpad.com/scientific-software/prism/">https://www.graphpad.com/scientific-software/prism/</ext-link>). The correlations between groups and clinicopathological characteristics were assessed using the chi-squared test, Logistic regression analysis, and Cochran&#x02013;Mantel&#x02013;Haenszel (CMH) test. The Kolmogorov&#x02013;Smirnov test was used to assess the normality of the data recorded. Normally distributed data were expressed as mean (standard deviation, SD) values, and between-group differences were analyzed using the student&#x00027;s <italic>t</italic>-test. Meanwhile, non-normally distributed data were analyzed using the Kruskal&#x02013;Wallis test. A two-sided <italic>P</italic> value &#x0003C;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Characteristics of the Patients</title>
<p>In this group of patients, 12 of them had adenocarcinoma, 3 patients had adenosquamous carcinoma, 1 patient had melanoma, 1 patient had small cell carcinoma, and the rest of the patients had squamous carcinoma. The clinical characteristics of the patients in the observation and ACBT groups are depicted in <xref ref-type="table" rid="T1">Table 1</xref>. In total, 125 (58.7%) and 72 (33.8%) patients underwent the McKeown and Ivor Lewis procedures, respectively. Most patients (<italic>n</italic> = 118, 55.4%) underwent open surgery, and 95 (44.6%), minimally invasive surgery. There were 16 patients with anastomotic leakage in the present study including 1 case in the ACBT group and 15 patients in the observation group. Before the specific statistical analysis, we assessed continuous numerical data using the Kolmogorov&#x02013;Smirnov test. The results of the normality test are presented in <xref ref-type="table" rid="T2">Table 2</xref>. In both groups, no significant differences were observed in terms of gender, the pathway of surgery, tumor location, pTNM stage, surgical approach, type of surgery, age, and smoking index (<xref ref-type="table" rid="T1">Table 1</xref>, all <italic>P</italic> &#x0003E; 0.05). Before surgery, the following indicators did not significantly differ in both groups: the weight of sputum, Borg scale score, and 6-MWT score (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>The associations of clinicopathological characteristics in the groups of observation and ACBT.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>All (<italic>N</italic> &#x0003D; 213)</bold></th>
<th valign="top" align="center"><bold>Observation (<italic>N</italic> &#x0003D; 106)</bold></th>
<th valign="top" align="center"><bold>ACBT (<italic>N</italic> &#x0003D; 107)</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Variables</bold></td>
<td valign="top" align="center" colspan="3"><bold>No. of patients(%)/ Mean (&#x000B1; SD)</bold></td>
<td valign="top" align="center"><italic><bold>P</bold></italic> <bold>value</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Sex</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.590<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">168 (78.9%)</td>
<td valign="top" align="center">82 (77.1%)</td>
<td valign="top" align="center">86 (80.4%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">45 (21.1%)</td>
<td valign="top" align="center">24 (22.9%)</td>
<td valign="top" align="center">21 (19.6%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Pathway of surgery</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.329<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Left thorax</td>
<td valign="top" align="center">33 (15.5%)</td>
<td valign="top" align="center">19 (17.9%)</td>
<td valign="top" align="center">14 (13.1%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Right thorax</td>
<td valign="top" align="center">180 (84.5%)</td>
<td valign="top" align="center">87 (82.1%)</td>
<td valign="top" align="center">93 (86.9%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Tumor location</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.108<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Upper thoracic</td>
<td valign="top" align="center">22 (10.3%)</td>
<td valign="top" align="center">13 (12.4%)</td>
<td valign="top" align="center">9 (8.4%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Middle thoracic</td>
<td valign="top" align="center">110 (51.6%)</td>
<td valign="top" align="center">61 (57.1%)</td>
<td valign="top" align="center">49 (45.8%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Lower thoracic</td>
<td valign="top" align="center">78 (36.6%)</td>
<td valign="top" align="center">31 (29.5%)</td>
<td valign="top" align="center">47 (43.9%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gastroesophageal junction</td>
<td valign="top" align="center">3 (1.4%)</td>
<td valign="top" align="center">1 (1.0%)</td>
<td valign="top" align="center">2 (1.9%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>TNM stage</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.825<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Tis</td>
<td valign="top" align="center">9 (4.2%)</td>
<td valign="top" align="center">4 (3.8%)</td>
<td valign="top" align="center">5 (4.7%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">I</td>
<td valign="top" align="center">42 (19.7%)</td>
<td valign="top" align="center">18 (17.0%)</td>
<td valign="top" align="center">24 (22.4%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">II</td>
<td valign="top" align="center">78 (36.6%)</td>
<td valign="top" align="center">40 (37.7%)</td>
<td valign="top" align="center">38 (35.5%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">III</td>
<td valign="top" align="center">79 (37.1%)</td>
<td valign="top" align="center">42 (39.6%)</td>
<td valign="top" align="center">37 (34.6%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">IV</td>
<td valign="top" align="center">5 (2.3%)</td>
<td valign="top" align="center">2 (1.9%)</td>
<td valign="top" align="center">3 (2.8%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Approach of surgery</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.953<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Sweet</td>
<td valign="top" align="center">16 (7.5%)</td>
<td valign="top" align="center">8 (7.6%)</td>
<td valign="top" align="center">8 (7.5%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Ivor-Lewis</td>
<td valign="top" align="center">72 (33.8%)</td>
<td valign="top" align="center">37 (34.9%)</td>
<td valign="top" align="center">35 (32.7%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">McKeowm</td>
<td valign="top" align="center">125 (58.7%)</td>
<td valign="top" align="center">61 (57.5%)</td>
<td valign="top" align="center">64 (59.8%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Types of surgery</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.892<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Minimally invasive</td>
<td valign="top" align="center">85 (39.9%)</td>
<td valign="top" align="center">43 (40.6%)</td>
<td valign="top" align="center">42 (39.3%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Open</td>
<td valign="top" align="center">118 (55.4%)</td>
<td valign="top" align="center">59 (55.7%)</td>
<td valign="top" align="center">59 (55.1%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Robot-assisted</td>
<td valign="top" align="center">10 (4.7%)</td>
<td valign="top" align="center">4 (3.7%)</td>
<td valign="top" align="center">6 (5.6%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Anastomotic leakage</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">199 (93.4%)</td>
<td valign="top" align="center">93 (87.7%)</td>
<td valign="top" align="center">106 (99.1%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">14 (6.6%)</td>
<td valign="top" align="center">13 (12.3%)</td>
<td valign="top" align="center">1 (0.9%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>The weight of sputum (g)</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Before surgery</td>
<td valign="top" align="center">2.255 &#x000B1; 0.412</td>
<td valign="top" align="center">2.289 &#x000B1; 0.433</td>
<td valign="top" align="center">2.220 &#x000B1; 0.389</td>
<td valign="top" align="center">0.206<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">1 day after surgery</td>
<td valign="top" align="center">7.759 &#x000B1; 1.916</td>
<td valign="top" align="center">6.676 &#x000B1; 1.772</td>
<td valign="top" align="center">8.831 &#x000B1; 1.379</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">2 days after surgery</td>
<td valign="top" align="center">13.934 &#x000B1; 3.726</td>
<td valign="top" align="center">11.241 &#x000B1; 2.359</td>
<td valign="top" align="center">16.602 &#x000B1; 2.795</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">3 days after surgery</td>
<td valign="top" align="center">18.946 &#x000B1; 6.112</td>
<td valign="top" align="center">13.917 &#x000B1; 3.405</td>
<td valign="top" align="center">23.928 &#x000B1; 3.592</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Smoking index</bold></td>
<td valign="top" align="center">441.596 &#x000B1; 464.54</td>
<td valign="top" align="center">435.472 &#x000B1; 471.67</td>
<td valign="top" align="center">447.664 &#x000B1; 459.51</td>
<td valign="top" align="center">0.722<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Age (year)</bold></td>
<td valign="top" align="center">60.380 &#x000B1; 8.334</td>
<td valign="top" align="center">60.410 &#x000B1; 8.238</td>
<td valign="top" align="center">60.360 &#x000B1; 8.467</td>
<td valign="top" align="center">0.853<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Borg scale</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Before surgery</td>
<td valign="top" align="center">0.347 &#x000B1; 0.399</td>
<td valign="top" align="center">0.344 &#x000B1; 0.399</td>
<td valign="top" align="center">0.351 &#x000B1; 0.402</td>
<td valign="top" align="center">0.918<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">After surgery</td>
<td valign="top" align="center">1.995 &#x000B1; 0.788</td>
<td valign="top" align="center">2.448 &#x000B1; 0.601</td>
<td valign="top" align="center">1.547 &#x000B1; 0.689</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>6-MWT</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Before surgery</td>
<td valign="top" align="center">541.140 &#x000B1; 57.96</td>
<td valign="top" align="center">536.200 &#x000B1; 57.69</td>
<td valign="top" align="center">546.040 &#x000B1; 58.08</td>
<td valign="top" align="center">0.024<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">After surgery</td>
<td valign="top" align="center">399.207 &#x000B1; 66.49</td>
<td valign="top" align="center">372.811 &#x000B1; 63.35</td>
<td valign="top" align="center">425.355 &#x000B1; 56.77</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Time of postoperative hospital stay (day)</bold></td>
<td valign="top" align="center">14.981 &#x000B1; 15.84</td>
<td valign="top" align="center">17.953 &#x000B1; 18.961</td>
<td valign="top" align="center">12.037 &#x000B1; 11.321</td>
<td valign="top" align="center">0.010<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Time to removal of thoracic tube (day)</bold></td>
<td valign="top" align="center">8.66 &#x000B1; 8.50</td>
<td valign="top" align="center">9.81 &#x000B1; 10.70</td>
<td valign="top" align="center">7.44 &#x000B1; 4.95</td>
<td valign="top" align="center">0.330<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Time to removal of gastric tube (day)</bold></td>
<td valign="top" align="center">10.64 &#x000B1; 14.27</td>
<td valign="top" align="center">13.73 &#x000B1; 19.02</td>
<td valign="top" align="center">7.66 &#x000B1; 5.78</td>
<td valign="top" align="center">0.057<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Time to removal of nutrition tube (day)</bold></td>
<td valign="top" align="center">11.94 &#x000B1; 22.38</td>
<td valign="top" align="center">13.68 &#x000B1; 20.28</td>
<td valign="top" align="center">10.18 &#x000B1; 24.33</td>
<td valign="top" align="center">0.107<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Over morbidity</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Pulmonary infection</td>
<td valign="top" align="center">17 (30.4%)</td>
<td valign="top" align="center">14 (32.6%)</td>
<td valign="top" align="center">3 (23.1%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pulmonary atelectasis</td>
<td valign="top" align="center">8 (14.3%)</td>
<td valign="top" align="center">6 (14.0%)</td>
<td valign="top" align="center">2 (15.4%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pneumothorax</td>
<td valign="top" align="center">14 (25.0%)</td>
<td valign="top" align="center">10 (23.2%)</td>
<td valign="top" align="center">4 (30.8%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pleural effusion</td>
<td valign="top" align="center">11 (19.6%)</td>
<td valign="top" align="center">8 (18.6%)</td>
<td valign="top" align="center">3 (23.0%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Respiratory failure</td>
<td valign="top" align="center">6 (10.7%)</td>
<td valign="top" align="center">5 (11.6%)</td>
<td valign="top" align="center">1 (7.7%)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>ACBT, active cycle of breathing technique; 6-MWT, 6-min walk test</italic>;</p>
<fn id="TN1"><label>&#x0002A;</label><p><italic>Fisher&#x00027;s exact test</italic>;</p></fn>
<fn id="TN2"><label>&#x0002A;&#x0002A;</label><p><italic>Chi-squared test</italic>;</p></fn>
<fn id="TN3"><label>&#x0002A;&#x0002A;&#x0002A;</label><p><italic>Kruskal&#x02013;Wallis test</italic>;</p></fn>
<fn id="TN4"><label>&#x0002A;&#x0002A;&#x0002A;&#x0002A;</label><p><italic>Cochran&#x02013;Mantel&#x02013;Haenszel test</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Normality test of each variable.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Kolmogorov-Smirnov</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>Statistics</italic></bold></th>
<th valign="top" align="center"><bold><italic>df</italic></bold></th>
<th valign="top" align="center"><bold><italic>P value</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Weight of sputum (before surgery)</td>
<td valign="top" align="center">0.128</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Weight of sputum (1 day after surgery)</td>
<td valign="top" align="center">0.095</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Weight of sputum (2 days after surgery)</td>
<td valign="top" align="center">0.076</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Weight of sputum (3 days after surgery)</td>
<td valign="top" align="center">0.146</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Borg scale (before surgery)</td>
<td valign="top" align="center">0.324</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Borg scale (after surgery)</td>
<td valign="top" align="center">0.272</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">6-minutes-walk test (before surgery)</td>
<td valign="top" align="center">0.143</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">6-minutes-walk test (after surgery)</td>
<td valign="top" align="center">0.107</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Time of postoperative hospital stay (day)</td>
<td valign="top" align="center">0.304</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Time to removal of thoracic tube (day)</td>
<td valign="top" align="center">0.232</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Time to removal of gastric tube (day)</td>
<td valign="top" align="center">0.311</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Time to removal of nutrition tube (day)</td>
<td valign="top" align="center">0.297</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Weight of Sputum, 6-MWT Score, and Borg Scale Score</title>
<p>We collected the sputum of the patients before and after surgery (the first, second, and third postoperative day). Before surgery, the mean weight of the sputum was 2.255 &#x000B1; 0.412 g, and no significant differences were observed in both groups (<italic>P</italic> = 0.206; <xref ref-type="fig" rid="F3">Figure 3A</xref>). The mean weight of the sputum collected on the first, second, and third day after surgery was shown in <xref ref-type="table" rid="T1">Table 1</xref>. We found that the weight of the sputum in the ACBT group was heavier than that in the observation group, and a significant difference was observed between the two groups (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref>; all <italic>P</italic> &#x0003C; 0.05).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>The weight of sputum in two groups before surgery <bold>(A)</bold>, in 1 day after surgery <bold>(B)</bold>, in 2 days after surgery <bold>(C)</bold>, in 3 days after surgery <bold>(D)</bold>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsurg-08-735947-g0003.tif"/>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>The line chart of comparing the weight of sputum between the two groups.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsurg-08-735947-g0004.tif"/>
</fig>
<p>To reduce confounding factors in both groups, we required the patients to undergo the 6-MWT before surgery. Ten days after surgery, the patients were instructed to undergo the 6-MWT again. The outcomes were better in the ACBT group than in the observation group both in preoperative and postoperative period (<xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="fig" rid="F5">Figure 5A</xref>).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>The results of 6-MWT <bold>(A)</bold>, Borg scale <bold>(B)</bold>, and the time of postoperative hospital stay <bold>(C)</bold> in two groups.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsurg-08-735947-g0005.tif"/>
</fig>
<p>The Borg scale was used to assess the tolerance grade of patients who engaged in aerobic exercises. In this study, the 6-MWT was utilized as an aerobic exercise. When the patients finished the 6-MWT after surgery, professional nurses helped them evaluate themselves using the Borg scale. Before surgery, the Borg scale scores of the two groups didn&#x00027;t differ; however, after surgery, the ACBT group had a lower grade than had the observation group (<xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="fig" rid="F5">Figure 5B</xref>). A lower grade indicated better tolerance in patients who engaged in aerobic exercises.</p>
</sec>
<sec>
<title>Anastomotic Leakage and Hospital Stay</title>
<p>The ACBT group had a lower incidence rate of anastomotic leakage than the observation group (<xref ref-type="table" rid="T1">Table 1</xref>, <italic>P</italic> = 0.001). The mean length of hospital stay, which was the focus of doctors and patients, was 17.953 &#x000B1; 18.961 days in the observation group and 12.037 &#x000B1; 11.321 days in the ACBT group. We also found that the observational group had a higher discharge ratio over 2 weeks in all cohorts (adjusted OR 2.487, P = 0.021, <xref ref-type="table" rid="T3">Table 3</xref>). Thus, ACBT training could decrease the length of hospital stay (<xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="fig" rid="F5">Figure 5C</xref>; <italic>P</italic> = 0.01).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Multivariable Logistic regression analysis for length of hospital stay according to different groups in all patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Discharge over 2 weeks</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>OR</italic></bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-Value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Group</bold>(ACBT vs. observation)</td>
<td valign="top" align="center">2.487</td>
<td valign="top" align="center">1.147-5.392</td>
<td valign="top" align="center">0.021</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Age</bold> (year)</td>
<td valign="top" align="center">1.047</td>
<td valign="top" align="center">1.000-1.096</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Anastomotic leakage</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">(No vs. yes)</td>
<td valign="top" align="center">2.618</td>
<td valign="top" align="center">0.762-8.995</td>
<td valign="top" align="center">0.126</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Open surgery</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">(No vs. yes)</td>
<td valign="top" align="center">5.564</td>
<td valign="top" align="center">2.220-13.942</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Surgical approach</bold></td>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">McKeown</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">reference</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Ivor-Lewis</td>
<td valign="top" align="center">1.323</td>
<td valign="top" align="center">0.250-6.996</td>
<td valign="top" align="center">0.742</td>
</tr>
<tr>
<td valign="top" align="left">Sweet</td>
<td valign="top" align="center">9.933</td>
<td valign="top" align="center">1.803-54.726</td>
<td valign="top" align="center">0.008</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>ACBT, active cycle of breathing technique; OR, odd ratio; CI, confidence interval; method was &#x0201C;Enter selection&#x0201D;</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>To the best of our knowledge, this study is the first to observe ACBT training in EC patients. The cases were divided into the observation and ACBT groups. We provided ACBT training before surgery, with the hope that this technique could improve the outcomes of rapid rehabilitation in patients after esophagectomy. In the course of the study, we used the 6-MWT and Borg scale to evaluate the tolerance of aerobic exercise in patients with EC before and after surgery. We collected data about weight of sputum, smoking index, tumor location, pTNM stage, pathway of surgery, surgical approach, anastomotic leakage, and length of postoperative hospital stay. These data were analyzed using statistical tools. The results of this study confirmed that ACBT could increase the weight of sputum and tolerance to aerobic exercises after surgery in EC patients, based on the results of Yang Mei&#x00027;s study about lung cancer (<xref ref-type="bibr" rid="B25">25</xref>). To reduce confounding effect of the smoking index, age, surgical approaches, and tumor location on the observed indicators, we used the chi-squared test, CMH test, and Kruskal&#x02013;Wallis test to assess the data before surgery. We found that the mean weight of sputum in the observation group was lighter than that in the ACBT group. On the basis of the above-mentioned results, ACBT training could increase the weight of sputum after esophagectomy; thus, patients should receive ACBT training before surgery to help them cough sputum much easier. Using the Borg scale, we found that the mean score was not different between the observation and ACBT groups before surgery; however, the 6-MWT scores before surgery differed between the observation and ACBT groups. After surgery, the ACBT group had better outcomes than the observation group. Based on the analysis of pre-surgery data, we found that the mean distance achieved in the 6-MWT was longer in the ACBT group than in the observation group (<italic>P</italic> = 0.024). We combined the scores of the 6-MWT and Borg scale to assess tolerance of aerobic exercise, and results showed that ACBT could improve this tolerance after surgery.</p>
<p>We paid more attention to the findings associated with complications, which were a major concern of our research. Anastomotic leakage was considered to be the main cause of prolonged hospitalization. In this research, 16 patients had anastomotic leakage, among which 1 case occurred in the ACBT group and 15 cases occurred in the observation group. The occurrence rate of anastomotic leakage was significantly different between the two groups. We speculated that ACBT might decrease the occurrence of anastomotic leakage.</p>
<p>The length of postoperative hospital stay decreases with the reduction in complication rate. In our study, the ACBT group had a shorter length of postoperative hospital stay than the observation group. Thus, ACBT was likely to improve the outcomes of postoperative surgery in EC patients. Compared with previous studies, this study had a larger sample size and a higher number of patients who underwent esophagectomy.</p>
<p>The present study had some limitations. It was conducted at a single institution, and the sample size was relatively small. Therefore, multicenter studies with larger cohorts must be conducted to validate the results of the current study. Lacking related information of BMI, nutrition status and neo-adjuvant therapy was another drawback. In future studies, these factors should be taken into consideration to evaluate their impact on perioperative outcomes. Moreover, although patients with various histological types were included in this study, squamous cell carcinoma took the lead due to its prevalence in China and thus causing the disproportion of histology type. Given that it was the perioperative outcomes that we focused on, unbalance in the histology type barely had impact on the results. Nevertheless, these patients required longer observation and follow-up. Thus, prospective studies must be performed to validate the results of this study.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>In a conclusion, ACBT is likely to help patients of EC improve perioperative outcome after esophagectomy, which may decrease the time of hospital stay. However, more prospective studies are needed to explore the impact of ACBT on postoperative complications in EC patients after esophagectomy.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <ext-link ext-link-type="uri" xlink:href="https://www.researchdata.org.cn/Default.aspx">https://www.researchdata.org.cn/Default.aspx</ext-link>. Approval number: <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="RDDA2019001345">RDDA2019001345</ext-link>.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committee of Sun Yat-sen University Cancer Center. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>C-ZL, G-WM, J-DZ, and HY designed the research. L-LW and S-WZ processed data and wrote the draft. S-WZ, MW, C-ZL, and W-JW recorded the data of patients. All authors observed the patients. HY, G-WM, W-JW, and J-DZ reviewed and edited the article. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by Guangdong Esophageal Cancer Institute Science and Technology Program (No. Q201601).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack><p>We thank all staff from Sun Yat-sen University Cancer Center for their contribution in providing surveillance data and support. We appreciated the editing of English language in Enago (<ext-link ext-link-type="uri" xlink:href="http://www.enago.cn">www.enago.cn</ext-link>). Our sincere thanks to our respected pioneer, Professor Tie-Hua Rong, who oriented us to surgical oncology. We wish to thank our patients who were willing to provide personal information for medical research and they were the best teachers for doctors.</p>
</ack>
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