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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1520687</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>High-flow vs conventional oxygen therapies for acute cardiogenic pulmonary edema following hip fractures and surgery in elderly patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Ci</surname>
<given-names>Caizhe</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2883907"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Tong</surname>
<given-names>Xiao</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Tai</surname>
<given-names>Weiyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Geng</surname>
<given-names>Xiaoyong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Han</surname>
<given-names>Yu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xiaojun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Cardiovascular Medicine, Third Hospital of Hebei Medical University</institution>, <addr-line>Shijiazhuang, Hebei</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Joint Surgery, First Hospital of Hebei Medical University</institution>, <addr-line>Shijiazhuang, Hebei</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Bo Tu, University of Nebraska Medical Center, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yang Wu, University of Nebraska Medical Center, United States</p>
<p>Siddhartha Kumar, University of Nebraska Medical Center, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Caizhe Ci, <email xlink:href="mailto:cicaizhe@163.com">cicaizhe@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>04</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1520687</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Ci, Tong, Tai, Geng, Han and Zhang</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ci, Tong, Tai, Geng, Han and Zhang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Purpose</title>
<p>This prospective, randomized controlled study aimed to compare the effects of high-flow oxygen therapy and conventional oxygen therapy in the treatment of acute cardiogenic pulmonary edema following hip fractures and surgery in elderly patients.</p>
</sec>
<sec>
<title>Methods</title>
<p>From February 2018 to October 2023, 124 patients diagnosed with acute cardiogenic pulmonary edema following hip fractures and surgery were randomly assigned to the high-flow oxygen therapy group (n=62) or conventional oxygen therapy group (n=65). Partial pressure of oxygen (PO<sub>2</sub>) and blood oxygen saturation (SPO<sub>2</sub>) were assessed 60 minutes after the treatments. A P value &lt;0.05 was considered statistically significant.</p>
</sec>
<sec>
<title>Results</title>
<p>There were significant differences in PO<sub>2</sub> (66.2 &#xb1; 3.3 mmHg <italic>vs</italic> 62.1 &#xb1; 3.4 mmHg, P&lt;0.05) and SPO<sub>2</sub> (97.8 &#xb1; 2.1 mmHg <italic>vs</italic> 94.2 &#xb1; 1.7 mmHg, P&lt;0.05) between the groups.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>In the treatment of elderly patients with ACPE following hip fractures and surgery, high-flow oxygen therapy may be performed to improve ventilation when acute cardiogenic pulmonary edema does not significantly improve within 15 minutes of conventional oxygen therapy.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hip fracture</kwd>
<kwd>acute cardiogenic pulmonary edema</kwd>
<kwd>high-flow oxygen therapy</kwd>
<kwd>conventional oxygen therapy</kwd>
<kwd>oxygen saturation. level of evidence: therapeutic study</kwd>
<kwd>level Ia</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="29"/>
<page-count count="11"/>
<word-count count="4080"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cardio-Oncology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The incidences of hip fractures are 19% in men and 25% in women. Owing to trauma and a bedridden state, 14% of non-operative and perioperative patients suffer from acute heart failure, resulting in acute cardiogenic pulmonary edema (ACPE) with a mortality rate of 15% (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). Treatment of ACPE following hip fractures and surgery has exceptional clinical challenges (<xref ref-type="bibr" rid="B5">5</xref>). Currently, supplemental oxygen therapy is a vital component, but the optimal oxygen delivery method is still controversial (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>ACPE represents a common and serious non-operative and perioperative condition in hip fracture patients (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). ACPE is caused by acute decompensated heart failure and pulmonary edema in the absence of heart disease (primary fluid overload due to blood transfusion), trauma, severe hypertension, renal artery stenosis, and severe renal disease (<xref ref-type="bibr" rid="B8">8</xref>). Currently, there is no gold standard for diagnosing ACPE. However, the generally accepted diagnostic criteria include a history of trauma, organic heart disease (ischemia with or without myocardial infarction, exacerbation of chronic systolic or diastolic heart failure, or aortic valve dysfunction.), sudden or worsening dyspnea, coughing up white or pink phlegm with bubbles, peripheral cyanosis, an increased heart rate (&gt;126 beats/min), spontaneous breathing (&gt;25 breaths/minute), and a bedridden state, etc. (<xref ref-type="bibr" rid="B9">9</xref>) The laboratory tests (slight elevation of cardiac troponin levels), echocardiography (normal or increased left ventricular systolic function), and chest X-rays (pulmonary edema) are also helpful. On chest X-rays, most diseases show a bilateral, symmetrical opacity occupying the central zones of the lungs, which may develop a classic &#x201c;butterfly shadow&#x201d; (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>In conventional oxygen therapy (COT), oxygen is applied through low-flow (&lt; 5 L/min) or moderate-flow (5&#x2013;15 L/min) delivery devices or a combination thereof (nasal prong, mask with or without oxygen reservoir, and Venturi mask systems) (<xref ref-type="bibr" rid="B11">11</xref>). The drawbacks include a lack of precision of exact oxygen delivery, insufficient heating and humidifying, and poor tolerance (<xref ref-type="bibr" rid="B12">12</xref>). High-flow oxygen therapy (HFOT) was first patented by the Transpirator Technologies, Inc. in 1988 (<xref ref-type="bibr" rid="B13">13</xref>). It is commonly performed in critical care settings and high-dependency care units due to non-invasive and easy-to-use therapy (<xref ref-type="bibr" rid="B14">14</xref>). Currently, HFOT has become more popular because it delivers a warm, humidified flow (&gt; 60 L/minute) through a soft nasal cannula (<xref ref-type="bibr" rid="B15">15</xref>). Many studies have shown the beneficial effect of COT <italic>versus</italic> HFOT on ACPE in blood gas analysis, heart rate, and respiratory rate (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). Nevertheless, those outcomes are based on adult general ward patients. Currently, whether those results are comparable in elderly patients with hip fractures and surgery is still not reported in the literature.</p>
<p>This prospective, randomized controlled study aimed to compare the effects of COT and HFOT in the treatment of elderly patients with ACPE following hip fractures and surgery.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<p>The institutional review boards of the Third Hospital of Hebei Medical University approved the study (W2020-011-1). Informed consent was obtained from each patient. Clinical trial has been registered (e.g., clinicaltrials.gov) and registration number is pending.</p>
<p>From February 2018 to October 2023, patients with a diagnosis of ACPE following hip fractures and surgery were admitted and treated in our hospital. The diagnosis of ACPE was established based on the diagnostic criteria, as shown above (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). The inclusion criteria for the study were (1) adult patients aged &#x2265; 55 years; (2) a confirmed diagnosis of hip fractures and ACPE (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>); (3) unilateral or bilateral hip involvement; (4) applying conventional oxygen therapy for 10 minutes to achieve a mask inhaled oxygen saturation (FiO<sub>2</sub>, fraction of inspired oxygen) of 50% and to increase blood oxygen saturation (SPO<sub>2</sub>) from 90% to 96% (or SPO<sub>2</sub>/FiO<sub>2</sub> from 176 to 192); and (4) respiratory rates between 28 and 35 breaths/minute. The exclusion criteria included (1) age &lt;55 years; (2) ACPE secondary to diseases, injuries other than hip fractures or concurrent injuries; (3) hip fracture treated non-operatively or operatively; (4) acute respiratory distress syndrome, sepsis, pneumonia, alveolar hemorrhage, or neoplasia; (5) noncardiogenic pulmonary edema due to septic shock or acute respiratory distress syndrome; (6) recurrent acute heart failure within 1 month; (7) cardiogenic shock; (8) concomitant chronic renal failure and liver failure; (6) acute exacerbation of chronic obstructive pulmonary disease; (9) type II respiratory failure; (10) development of worse hemodynamics within 15 minutes (SPO<sub>2</sub> &lt; 85%, respiratory rate &gt; 40 breaths/minute, consciousness disorder, and intolerance of COT); (11) loss of follow-up or died; and (12) declined to participate the study. Moreover, if a patient had multiple hospital admissions due to ACPE, only the first admission was included.</p>
<p>Based on the types of oxygen therapies, we randomly and blindly assigned the eligible patients to the COT group and HFOT group using a computational pseudorandom number generator.</p>
<sec id="s2_1">
<title>COT</title>
<p>The patient lied in the semi-recumbent or sitting position. The patient was applied morphine sedation, diuretics, inotropic drugs, vasoactive drugs, and other treatments. The patients were given 24% oxygen <italic>via</italic> nasal prongs at flow rates of 2&#x2013;3 L/minute or 28% oxygen <italic>via</italic> a Venturi mask at flow rate of 4 L/minute or a nasal cannula at flow rates of 1&#x2013;2 L/minute. The goals were to achieve FiO<sub>2</sub> of 50% and maintain SPO<sub>2</sub> values between 90% and 96%.</p>
</sec>
<sec id="s2_2">
<title>HFOT</title>
<p>The patient was placed in the same position, and similar medications were applied. The patient was treated with an Airvo 2 system (Fisher &amp; Paykel Healthcare Optiflow, Auckland, New Zealand) through a nasal cannula or tracheostomy interface. We initially set the oxygen concentration to 40% with gases heated up to 37&#xb0;C and 100% relative humidity. We set the mixed air-and-oxygen flow rate at 60 L/minute to keep the SPO<sub>2</sub> value &gt; 90%. Every 5 minutes, we increased or reduced oxygen saturation by 10% based on SPO<sub>2</sub> values. The maximal oxygen concentration was 50% even if the SPO<sub>2</sub> value &gt; 90%.</p>
</sec>
<sec id="s2_3">
<title>Outcome evaluation</title>
<p>We compared the two oxygen therapies in partial pressure of oxygen (PO<sub>2</sub>) and SPO<sub>2</sub> measured before the treatments and 60 minutes after treatment starts. We determined the proportion of oxygenated hemoglobin in arterial blood with spectrophotometry. We recorded continuous non-invasive blood pressure. We obtained the laboratory tests before and during the treatments. We assessed heart failure based on the New York Heart Association Functional Classification (<xref ref-type="bibr" rid="B20">20</xref>), which allocated the patients to 4 categories based on the limitations of physical activity (I, no limitation; II, slight limitation; III, marked limitation; and IV, symptoms of heart failure at rest). We assessed the level of consciousness using the Glasgow Coma Scale (<xref ref-type="bibr" rid="B21">21</xref>) based on the patient&#x2019;s ability to perform eye movements, speaking, and body movements (0, severe abnormal; 6, normal). We used the Borg&#x2019;s modified scale (<xref ref-type="bibr" rid="B22">22</xref>) to evaluate the level of shortness of breathing (between 0 and 10). Patient comfort was assessed using the visual analog scale (0, very uncomfortable; 10, very comfortable) (<xref ref-type="bibr" rid="B17">17</xref>). We used the 5-point Likert scale (<xref ref-type="bibr" rid="B23">23</xref>) (very satisfied, somewhat satisfied, neither satisfied nor dissatisfied, somewhat dissatisfied, and very dissatisfied) to assess nurses&#x2019; attitude of skill difficulty, requirements, load intensity, operating risks, and willingness based on retrospective questioning within 24 hours.</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>Quantitative variables were described as mean and standard deviation for symmetric distribution or median and interquartile range for asymmetric distribution. We used the Mann-Whitney U-test and <italic>t-</italic>test to determine whether there were any significant differences between the groups. We used the chi-square test to examine the association between categorical variables and frequencies. A 95% confidence interval was used to estimate the range of the true value. Differences were considered statistically significant at P&lt;0.05. The collected data were analyzed with the Statistical Package for Social Sciences 24.0 (SPSS, Inc., Chicago, Ill).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>From among 171 potential patients, we excluded 37 patients involving the patients who declined to participated the study (n=11); concurrent injuries (n=5); ACPE secondary to diseases (n=4); concomitant heart failure (n=2); acute respiratory distress syndrome, sepsis, pneumonia, alveolar hemorrhage, or neoplasia (n=3); noncardiogenic pulmonary edema due to septic shock or acute respiratory distress syndrome (n=5); concomitant acute heart failure within 1 month (n=5); and patients who died during the study period (n=2) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). We excluded 10 patients due to the development of worse hemodynamics. No patient lost to follow-up for 1 year. A total of 124 patients were finally analyzed (<xref ref-type="fig" rid="f1"><bold>Figure 1</bold></xref>). The age of the COT group (n=64) was 69.22 &#xb1; 10.07 years (range, 57&#x2013;98 years). There were 42 male patients and 22 female patients. There were femoral neck fractures (n=56), greater trochanteric fractures (n=5), acetabular fractures (n=5), and femoral head fractures (n=2). Surgery was performed in 42 patients. The age of the HFOT group (n=60) was 68.55 &#xb1; 11.33 years (range, 55&#x2013;89 years). There were 44 male patients and 16 female patients. There were femoral neck fractures (n=53), greater trochanteric fractures (n=3), acetabular fractures (n=7), and femoral head fractures (n=4). Surgery was performed in 47 patients. Patients&#x2019; concomitant diseases included diabetes, hypertension, coronary heart disease, acute coronary syndrome, dyslipidemia, cardiomyopathy, etc. There were no significant differences in age, sex, fracture site, or concomitant diseases (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, <xref ref-type="fig" rid="f2"><bold>Figure 2</bold></xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic and clinical characteristics for 124 patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="left"/>
<th valign="bottom" align="center">COT group</th>
<th valign="bottom" align="center">HFOT group</th>
<th valign="bottom" align="center">
</th>
<th valign="bottom" align="center">
</th>
</tr>
<tr>
<th valign="bottom" align="center">(n=64)</th>
<th valign="bottom" align="center">(n=60)</th>
<th valign="bottom" align="center">
<italic>t</italic>
</th>
<th valign="bottom" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">Age (mean, range, year)</td>
<td valign="bottom" align="center">69.22 &#xb1; 10.07 (57-98)</td>
<td valign="bottom" align="center">68.55 &#xb1; 11.33 (55-89)</td>
<td valign="bottom" align="center">1.57</td>
<td valign="bottom" align="center">0.121</td>
</tr>
<tr>
<td valign="bottom" align="left">Sex (male: female)</td>
<td valign="bottom" align="center">42: 22</td>
<td valign="bottom" align="center">44: 16</td>
<td valign="bottom" align="center">0.05</td>
<td valign="bottom" align="center">0.705</td>
</tr>
<tr>
<td valign="bottom" align="left">Smoking (n)</td>
<td valign="bottom" align="center">13</td>
<td valign="bottom" align="center">16</td>
<td valign="bottom" align="center">0.4</td>
<td valign="bottom" align="center">0.758</td>
</tr>
<tr>
<td valign="bottom" align="left">Alcohol (n)</td>
<td valign="bottom" align="center">8</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">0.3</td>
<td valign="bottom" align="center">0.205</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">Cause (n)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Road traffic accident</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">9</td>
<td valign="middle" rowspan="4" align="center">1.14</td>
<td valign="middle" rowspan="4" align="center">0.252</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Fall</td>
<td valign="bottom" align="center">50</td>
<td valign="bottom" align="center">48</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Sports</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">3</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Work</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">0</td>
</tr>
<tr>
<td valign="bottom" align="left">Time from injury to admission (day)</td>
<td valign="bottom" align="center">1.58 &#xb1; 3.33(0-6)</td>
<td valign="bottom" align="center">1.76 &#xb1; 2.07 (0-5)</td>
<td valign="bottom" align="center">1.255</td>
<td valign="bottom" align="center">0.258</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">Fracture site (n)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Femoral neck fractures</td>
<td valign="bottom" align="center">56</td>
<td valign="bottom" align="center">53</td>
<td valign="middle" rowspan="4" align="center">0.403</td>
<td valign="middle" rowspan="4" align="center">0.714</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Greater trochanteric fractures</td>
<td valign="bottom" align="center">5</td>
<td valign="bottom" align="center">3</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Acetabular Fractures</td>
<td valign="bottom" align="center">5</td>
<td valign="bottom" align="center">7</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Femoral head fracture</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">4</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">Injured side (n)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Left</td>
<td valign="bottom" align="center">38</td>
<td valign="bottom" align="center">28</td>
<td valign="middle" rowspan="3" align="center">0.308</td>
<td valign="middle" rowspan="3" align="center">0.787</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Right</td>
<td valign="bottom" align="center">22</td>
<td valign="bottom" align="center">25</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Both</td>
<td valign="bottom" align="center">4</td>
<td valign="bottom" align="center">7</td>
</tr>
<tr>
<td valign="bottom" align="center">Operative: nonoperative (n)</td>
<td valign="bottom" align="center">42: 22</td>
<td valign="bottom" align="center">47: 13</td>
<td valign="middle" align="center">0.286</td>
<td valign="bottom" align="center">0.823</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">ACPE onset (n)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Preoperative</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">10</td>
<td valign="middle" rowspan="3" align="center">-0.945</td>
<td valign="middle" rowspan="3" align="center">0.444</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Intraoperative</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">2</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Postoperative</td>
<td valign="bottom" align="center">30</td>
<td valign="bottom" align="center">35</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">Implant (n)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Nail</td>
<td valign="bottom" align="center">7</td>
<td valign="bottom" align="center">3</td>
<td valign="middle" rowspan="4" align="center">-0.608</td>
<td valign="middle" rowspan="4" align="center">0.586</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Plate</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">1</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Screw</td>
<td valign="bottom" align="center">27</td>
<td valign="bottom" align="center">31</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Arthroplasty</td>
<td valign="bottom" align="center">12</td>
<td valign="bottom" align="center">19</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">Concomitant disease (n)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Diabetes</td>
<td valign="bottom" align="center">22</td>
<td valign="bottom" align="center">15</td>
<td valign="middle" rowspan="9" align="center">-0.27</td>
<td valign="middle" rowspan="9" align="center">0.794</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Hypertension</td>
<td valign="bottom" align="center">12</td>
<td valign="bottom" align="center">23</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Coronary heart disease</td>
<td valign="bottom" align="center">18</td>
<td valign="bottom" align="center">20</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Acute coronary syndrome</td>
<td valign="bottom" align="center">8</td>
<td valign="bottom" align="center">10</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Dyslipidemia</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">8</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Cardiomyopathy</td>
<td valign="bottom" align="center">14</td>
<td valign="bottom" align="center">18</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Atrial fibrillation</td>
<td valign="bottom" align="center">14</td>
<td valign="bottom" align="center">20</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Cerebrovascular disease</td>
<td valign="bottom" align="center">24</td>
<td valign="bottom" align="center">16</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Previous acute heart failure</td>
<td valign="bottom" align="center">16</td>
<td valign="bottom" align="center">14</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ACPE, acute cardiogenic pulmonary edema; COT, conventional oxygen therapy; HFOT, high-flow oxygen therapy.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>A flowchart showing the selection and allocation for 124 patients. COT, conventional oxygen therapy. HFOT, high-flow oxygen therapy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1520687-g001.tif"/>
</fig>
<p>We found no significant differences between the groups in pre-treatment heart rate, respiratory rate, systolic blood pressure, SPO<sub>2</sub>, pH, PO<sub>2</sub>, PCO<sub>2</sub>, HCO<sub>3</sub>, or lactic acid (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). We found significant differences in heart rate (113.5 &#xb1; 11.8 <italic>vs</italic> 111.6 &#xb1; 10.7, P&lt;0.001) 15 minutes after treatment starts, respiratory rate (25.4 &#xb1; 1.6 <italic>vs</italic> 23.1 &#xb1; 1.8, P&lt;0.001) 30 minutes after treatment starts, SPO<sub>2</sub> (93.7 &#xb1; 2.1 <italic>vs</italic> 95.3 &#xb1; 1.9, P&lt;0.001) 15 minutes after treatment starts, and PO<sub>2</sub> (62.1 &#xb1; 3.4 vs 66.2 &#xb1; 3.3, P&lt;0.001) 60 minutes after treatment starts. We found significant differences in heart rate between 15 minutes and 30 minutes after treatment starts of the COT group (113.5 &#xb1; 11.8 <italic>vs</italic> 105.3 &#xb1; 11.1, P&lt;0.001) and HFOT group (111.6 &#xb1; 10.7 <italic>vs</italic> 98.2 &#xb1; 9.5, P&lt;0.001), respectively; respiratory rates before and 15 minutes after treatment starts of the COT group (31.3 &#xb1; 2.5 <italic>vs</italic> 27.2 &#xb1; 2.3.1, P&lt;0.001) and HFOT group (31.6 &#xb1; 2.6 <italic>vs</italic> 28.1 &#xb1; 2.2, P&lt;0.001), respectively. Systolic blood pressure and PO<sub>2</sub> values also improved after treatment starts (P&lt;0.001). We found the Borg&#x2019;s modified scales significantly improved 60 minutes after treatment starts in both groups, but there was no significant difference. We found significant differences in patient comfort, skill difficulty, requirement, load intensity, and operative time (P&lt;0.001) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Clinical parameters and laboratory tests for 124 patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="left"/>
<th valign="bottom" align="center">COT group</th>
<th valign="bottom" align="center">HFOT group</th>
<th valign="bottom" align="center">
</th>
<th valign="bottom" align="center">
</th>
</tr>
<tr>
<th valign="bottom" align="center">(n=64)</th>
<th valign="bottom" align="center">(n=60)</th>
<th valign="bottom" align="center">
<italic>t</italic>
</th>
<th valign="bottom" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="bottom" colspan="5" align="left">Heart rate (beat/min)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Before treatment</td>
<td valign="bottom" align="center">113.2 &#xb1; 10.5</td>
<td valign="bottom" align="center">114.6 &#xb1; 12.1</td>
<td valign="bottom" align="center">-0.075</td>
<td valign="bottom" align="center">0.94</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;15 min</td>
<td valign="bottom" align="center">113.5 &#xb1; 11.8</td>
<td valign="bottom" align="center">111.6 &#xb1; 10.7</td>
<td valign="bottom" align="center">-8.637</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;30 min</td>
<td valign="bottom" align="center">105.3 &#xb1; 11.1</td>
<td valign="bottom" align="center">98.2 &#xb1; 9.5</td>
<td valign="bottom" align="center">3.705</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;t</td>
<td valign="bottom" align="center">-8.718</td>
<td valign="bottom" align="center">-6.912</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;P value</td>
<td valign="bottom" align="center">&lt;0.001</td>
<td valign="bottom" align="center">&lt;0.001</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">97.4 &#xb1; 8.1</td>
<td valign="bottom" align="center">92.1 &#xb1; 6.1</td>
<td valign="bottom" align="center">1.925</td>
<td valign="bottom" align="center">0.043</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">Respiratory rate (breath/min)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Before treatment</td>
<td valign="bottom" align="center">31.3 &#xb1; 2.5</td>
<td valign="bottom" align="center">31.6 &#xb1; 2.6</td>
<td valign="bottom" align="center">-2.93</td>
<td valign="bottom" align="center">0.079</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;15 min</td>
<td valign="bottom" align="center">27.2 &#xb1; 2.3</td>
<td valign="bottom" align="center">24.1 &#xb1; 2.2</td>
<td valign="bottom" align="center">-1.170</td>
<td valign="bottom" align="center">0.247</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;t</td>
<td valign="bottom" align="center">8.614</td>
<td valign="bottom" align="center">7.211</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;P value</td>
<td valign="bottom" align="center">&lt;0.001</td>
<td valign="bottom" align="center">&lt;0.001</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;30 min</td>
<td valign="bottom" align="center">25.4 &#xb1; 1.6</td>
<td valign="bottom" align="center">23.1 &#xb1; 1.8</td>
<td valign="bottom" align="center">8.068</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">25.2 &#xb1; 1.3</td>
<td valign="bottom" align="center">22.5 &#xb1; 1.4</td>
<td valign="bottom" align="center">10.115</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">Systolic blood pressure (mmHg)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Before treatment</td>
<td valign="bottom" align="center">137 &#xb1; 20</td>
<td valign="bottom" align="center">135 &#xb1; 22</td>
<td valign="bottom" align="center">0.913</td>
<td valign="bottom" align="center">0.365</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;15 min</td>
<td valign="bottom" align="center">132 &#xb1; 18</td>
<td valign="bottom" align="center">134 &#xb1; 17</td>
<td valign="bottom" align="center">-1.033</td>
<td valign="bottom" align="center">0.306</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;30 min</td>
<td valign="bottom" align="center">126 &#xb1; 15</td>
<td valign="bottom" align="center">124 &#xb1; 12</td>
<td valign="bottom" align="center">0.088</td>
<td valign="bottom" align="center">0.930</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;t</td>
<td valign="bottom" align="center">1.281</td>
<td valign="bottom" align="center">1.011</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;P value</td>
<td valign="bottom" align="center">&lt;0.001</td>
<td valign="bottom" align="center">&lt;0.001</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">123 &#xb1; 21</td>
<td valign="bottom" align="center">121 &#xb1; 18</td>
<td valign="bottom" align="center">0.0135</td>
<td valign="bottom" align="center">0.126</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">SPO<sub>2</sub>(%)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Before treatment</td>
<td valign="bottom" align="center">93.2 &#xb1; 1.8</td>
<td valign="bottom" align="center">93.5 &#xb1; 1.6</td>
<td valign="bottom" align="center">-1.966</td>
<td valign="bottom" align="center">0.954</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;15 min</td>
<td valign="bottom" align="center">93.7 &#xb1; 2.1</td>
<td valign="bottom" align="center">95.3 &#xb1; 1.9</td>
<td valign="bottom" align="center">-4.655</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;30 min</td>
<td valign="bottom" align="center">93.9 &#xb1; 2.2</td>
<td valign="bottom" align="center">96.4 &#xb1; 2.1</td>
<td valign="bottom" align="center">-6.916</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">94.2 &#xb1; 1.7</td>
<td valign="bottom" align="center">97.8 &#xb1; 2.1</td>
<td valign="bottom" align="center">-9.993</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">pH value</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Before treatment</td>
<td valign="bottom" align="center">7.41 &#xb1; 0.12</td>
<td valign="bottom" align="center">7.51 &#xb1; 0.16</td>
<td valign="bottom" align="center">0.102</td>
<td valign="bottom" align="center">0.357</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">7.36 &#xb1; 0.08</td>
<td valign="bottom" align="center">7.32 &#xb1; 0.12</td>
<td valign="bottom" align="center">0.023</td>
<td valign="bottom" align="center">0.263</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;t</td>
<td valign="bottom" align="center">1.354</td>
<td valign="bottom" align="center">2.36</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;P value</td>
<td valign="bottom" align="center">0.078</td>
<td valign="bottom" align="center">0.012</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">PO<sub>2</sub> (mmHg)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Before treatment</td>
<td valign="bottom" align="center">59.2 &#xb1; 3.1</td>
<td valign="bottom" align="center">58.9 &#xb1; 2.9</td>
<td valign="bottom" align="center">-20437</td>
<td valign="bottom" align="center">0.18</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">62.1 &#xb1; 3.4</td>
<td valign="bottom" align="center">66.2 &#xb1; 3.3</td>
<td valign="bottom" align="center">-5.936</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;t</td>
<td valign="bottom" align="center">-6.747</td>
<td valign="bottom" align="center">-12.403</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;P value</td>
<td valign="bottom" align="center">&lt;0.001</td>
<td valign="bottom" align="center">&lt;0.001</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">PCO<sub>2</sub> (mmHg)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Before treatment</td>
<td valign="bottom" align="center">38.8 &#xb1; 5.6</td>
<td valign="bottom" align="center">38.2 &#xb1; 5.1</td>
<td valign="bottom" align="center">-1.077</td>
<td valign="bottom" align="center">0.147</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">41.6 &#xb1; 4.9</td>
<td valign="bottom" align="center">40.7 &#xb1; 4.6</td>
<td valign="bottom" align="center">0.025</td>
<td valign="bottom" align="center">0.335</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;t</td>
<td valign="bottom" align="center">1.367</td>
<td valign="bottom" align="center">1.205</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;P value</td>
<td valign="bottom" align="center">0.812</td>
<td valign="bottom" align="center">0.253</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">HCO<sub>3</sub>
</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Before treatment</td>
<td valign="bottom" align="center">23.7 &#xb1; 2.1</td>
<td valign="bottom" align="center">22.9 &#xb1; 1.9</td>
<td valign="bottom" align="center">-1.87</td>
<td valign="bottom" align="center">0.087</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">23.2 &#xb1; 2.4</td>
<td valign="bottom" align="center">23.2 &#xb1; 2.8</td>
<td valign="bottom" align="center">-2.361</td>
<td valign="bottom" align="center">0.721</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;t</td>
<td valign="bottom" align="center">-3.657</td>
<td valign="bottom" align="center">-1.257</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;P value</td>
<td valign="bottom" align="center">0.398</td>
<td valign="bottom" align="center">0.127</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">Lactic acid (mmHg)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Before treatment</td>
<td valign="bottom" align="center">2.82 &#xb1; 2.0</td>
<td valign="bottom" align="center">2.79 &#xb1; 1.9</td>
<td valign="bottom" align="center">0.235</td>
<td valign="bottom" align="center">0.105</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">2.79 &#xb1; 1.9</td>
<td valign="bottom" align="center">2.69 &#xb1; 1.7</td>
<td valign="bottom" align="center">0.388</td>
<td valign="bottom" align="center">0.154</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;t</td>
<td valign="bottom" align="center">1.492</td>
<td valign="bottom" align="center">2.351</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;P value</td>
<td valign="bottom" align="center">0.263</td>
<td valign="bottom" align="center">0.121</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>COT, conventional oxygen therapy; HFOT, high-flow oxygen therapy; SpO<sub>2,</sub> oxygen saturation; PO<sub>2</sub>, partial pressure of oxygen; oxygen saturation; PCO<sub>2</sub>, pressure of carbon dioxide; HCO<sub>3</sub>, bicarbonate.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Linear mixed model of the mean changes for the COT group <italic>versus</italic> HFOT group, in heart rate, respiratory rate, systolic blood pressure, oxygen saturation (SpO<sub>2</sub>), partial pressure of oxygen (PO<sub>2</sub>), and pressure of carbon dioxide (PCO<sub>2</sub>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1520687-g002.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Assessment of activity-related breathlessness.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="left"/>
<th valign="bottom" align="center">COT group</th>
<th valign="bottom" align="center">HFOT group</th>
<th valign="bottom" align="center">
</th>
<th valign="bottom" align="center">
</th>
</tr>
<tr>
<th valign="bottom" align="center">(n=64)</th>
<th valign="bottom" align="center">(n=60)</th>
<th valign="bottom" align="center">t</th>
<th valign="bottom" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="bottom" colspan="5" align="left">Borg&#x2019;s modified scale</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Before treatment</td>
<td valign="bottom" align="center">6.81 &#xb1; 1.56</td>
<td valign="bottom" align="center">6.77 &#xb1; 1.71</td>
<td valign="bottom" align="center">1.129</td>
<td valign="bottom" align="center">0.264</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">5.51 &#xb1; 1.41</td>
<td valign="bottom" align="center">5.49 &#xb1; 1.53</td>
<td valign="bottom" align="center">0.535</td>
<td valign="bottom" align="center">0.594</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;t</td>
<td valign="bottom" align="center">1.763</td>
<td valign="bottom" align="center">3.721</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;P value</td>
<td valign="bottom" align="center">&lt;0.043</td>
<td valign="bottom" align="center">&lt;0.001</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">Comfort</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;60 min</td>
<td valign="bottom" align="center">5.72 &#xb1; 1.06</td>
<td valign="bottom" align="center">7.54 &#xb1; 1.53</td>
<td valign="bottom" align="center">6.934</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">24-hour ventilation (n)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Noninvasive</td>
<td valign="bottom" align="center">10</td>
<td valign="bottom" align="center">4</td>
<td valign="middle" rowspan="2" align="center">1</td>
<td valign="middle" rowspan="2" align="center">0.5</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Invasive</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">2</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;7-day mortality (n)</td>
<td valign="bottom" align="center">0</td>
<td valign="bottom" align="center">0</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">NYHA (n)</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;III</td>
<td valign="bottom" align="center">56</td>
<td valign="bottom" align="center">54</td>
<td valign="middle" rowspan="2" align="center">1.732</td>
<td valign="middle" rowspan="2" align="center">0.182</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;IV</td>
<td valign="bottom" align="center">8</td>
<td valign="bottom" align="center">6</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Glasgow Coma Scale</td>
<td valign="bottom" align="center">13.01 &#xb1; 1.51</td>
<td valign="bottom" align="center">12.77 &#xb1; 1.43</td>
<td valign="bottom" align="center">0.866</td>
<td valign="bottom" align="center">0.39</td>
</tr>
<tr>
<th valign="bottom" colspan="5" align="left">5-point Likert scale</th>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Skill difficulty</td>
<td valign="bottom" align="center">2.34 &#xb1; 0.48</td>
<td valign="bottom" align="center">2.87 &#xb1; 0.71</td>
<td valign="bottom" align="center">-4.886</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Requirement</td>
<td valign="bottom" align="center">1.94 &#xb1; 0.56</td>
<td valign="bottom" align="center">2.2 &#xb1; 0.52</td>
<td valign="bottom" align="center">-3.540</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Load intensity</td>
<td valign="bottom" align="center">1.85 &#xb1; 0.43</td>
<td valign="bottom" align="center">2.34 &#xb1; 0.51</td>
<td valign="bottom" align="center">-6.502</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Operating risk</td>
<td valign="bottom" align="center">1.58 &#xb1; 0.36</td>
<td valign="bottom" align="center">1.69 &#xb1; 0.47</td>
<td valign="bottom" align="center">-2.334</td>
<td valign="bottom" align="center">0.63</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Willingness</td>
<td valign="bottom" align="center">1.63 &#xb1; 0.41</td>
<td valign="bottom" align="center">1.79 &#xb1; 0.53</td>
<td valign="bottom" align="center">-1.622</td>
<td valign="bottom" align="center">0.11</td>
</tr>
<tr>
<td valign="bottom" align="left">&#x2003;Operative time (min)</td>
<td valign="bottom" align="center">0.82 &#xb1; 0.21</td>
<td valign="bottom" align="center">0.98 &#xb1; 0.16</td>
<td valign="bottom" align="center">-1.124</td>
<td valign="bottom" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NYHA, New York Heart Association Functional Classification.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In the treatment of elderly patients with ACPE following hip fractures and surgery, HFOT demonstrates more rapid improvement than COT in heart rate, respiratory rate, SPO<sub>2</sub>, and PO<sub>2</sub> 15 and 60 minutes after treatment starts. HFOT improves SPO<sub>2</sub> and PO<sub>2</sub> more effectively. In addition, HFOT shows greater patient comfort and tolerability than COT. However, HFOT and COT may show equal improvement in respiratory rate, systolic blood pressure, pH, PCO<sub>2</sub>, HCO<sub>3</sub>, and lactic acid. HFOT is easier to implement because it requires less technical skills, training, and nursing workload. HFOT and COT may show equal operating risk and nurses&#x2019; willingness.</p>
<p>Globally, 1.7 million hip fractures take place annually. Accidental hospitalization is a common for patients over 65 years, particularly those with hip fractures. Robbins et&#xa0;al. (<xref ref-type="bibr" rid="B7">7</xref>) reported that the mortality rate of post-hip fracture was 21% among the patients without prevalent coronary heart disease. Zhao et&#xa0;al. (<xref ref-type="bibr" rid="B2">2</xref>) found patients whose age over 75 years old, concomitant coronary heart disease, hemoglobin &lt; 100 g/L are more likely to develop perioperative acute heart failure. ACPE is caused by a failure of the left ventricle to contract forcefully enough. As a result, the left ventricle is unable to pump blood efficiently, which in turn increases the back pressure in the left atrium and lungs (<xref ref-type="bibr" rid="B24">24</xref>). This pressure forces the fluid out of the capillaries and into the lungs, causing fluid accumulation in the lungs. Oxygen therapies improve ventilation through the following mechanisms: (1) counterbalancing the mechanical load imposed by residual end-expiratory alveolar pressure in exacerbations; (2) combating atelectasis; and (3) providing a mechanical stent of the upper airways. The therapies initially keep PO<sub>2</sub> values &#x2265; 90% (<xref ref-type="bibr" rid="B24">24</xref>). COT is commonly performed using nasal prongs, cannulas, or masks (<xref ref-type="bibr" rid="B23">23</xref>). However, the maximum oxygen flow rate is only 15 L/minute, which is far lower than an ACPE patient demand (<xref ref-type="bibr" rid="B25">25</xref>). Another drawback is the difficulty in meeting the need of gas heating and humidification (<xref ref-type="bibr" rid="B26">26</xref>). Therefore, nasal cannulas designed to administer heated and humidified air and oxygen mixtures at high flow rates (&gt; 60 L/minute) become popular. HFOT enhances patient comfort and tolerance. It delivers reliable high levels of FiO<sub>2</sub>, which improves ventilatory efficiency and reduces the work of breathing (<xref ref-type="bibr" rid="B24">24</xref>). It provides back pressure to enhance airway patency during expiration, permitting more complete emptying of the air in the lungs. Ko et&#xa0;al. (<xref ref-type="bibr" rid="B16">16</xref>) treated 67 patients with acute pulmonary edema combined with heart failure. Among them, 34 patients were treated with HFOT, and 33 patients were treated with COT. Before treatments, the SPO<sub>2</sub> values of the HFOT and COT groups were 92.83 &#xb1; 3.63 and 92.55 &#xb1; 4.01, respectively (P=0.765); and the PO<sub>2</sub> values were 69.84 &#xb1; 14.79 and 71.91 &#xb1; 19.78, respectively (P=0.629). The SPO<sub>2</sub> values measured 60 minutes after treatment starts were 97.38 &#xb1; 2.51 and 93.39 &#xb1; 2.46, respectively (P&lt;0.001). They concluded that HFOT should be the initial oxygen therapy. Those values are comparable to our data. Chang et&#xa0;al. (<xref ref-type="bibr" rid="B17">17</xref>) retrospectively reviewed 104 patients with heart failure. The patients were treated with HFOT (n=58) and COT (n=46). The two therapies were equal in preventing extubating failure and reintubation. However, the assessments were performed 72 hours after extubation and were not based on SPO<sub>2</sub> and PO<sub>2</sub>. &#x15e;ener et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>) treated 112 patients with hypertensive pulmonary edema. Among them, 50 patients were treated with COT, and 62 patients were treated with HFOT. Before treatments, the mean SPO<sub>2</sub> values of the HFOT and COT groups were 81.67 &#xb1; 5.6 and 86.04 &#xb1; 6.43, respectively (P &lt;0.001); and the mean PO<sub>2</sub> values were 58.19 &#xb1; 6.05 and 63.54 &#xb1; 9.28, respectively (P&lt;0.001). One hour after treatment starts, the mean SPO<sub>2</sub> values were 163.62 &#xb1; 75.84 and 80.24 &#xb1; 21.86, respectively (P&lt;0.001). Those values are also comparable to our data. HFOT is much more effective as it shortens the length of stay in an emergency or intensive care unit. HFOT also provides better results in terms of blood gas analysis, heart rate, and respiratory rate.</p>
<p>In this study, both HFOT and COT treatments increase SPO<sub>2</sub> values and arterial oxygen partial pressure, reducing heart rate, respiratory rate, and systolic blood pressure. However, HFOT produces earlier and more significant effects due to specified oxygen inhalation and positive pressure in the airway. The improvement of hypoxia further reduces the respiratory rate and heart rate, reducing oxygen consumption and cardiopulmonary burden.</p>
<p>In addition to PO<sub>2</sub> and SPO<sub>2</sub>, some other indicators are used to evaluate ACPE. Chest X-rays are commonly used, but the characteristic features have only moderate specificity (range, 75%&#x2013;83%) and poor sensitivity (range, 50%&#x2013;68%) (<xref ref-type="bibr" rid="B27">27</xref>). Transthoracic pulmonary ultrasound can be used to evaluate ACPE, but the drawbacks are technique dependence and limited specificity in the identification of pulmonary edema (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>In the management of ACPE following hip fractures and surgery, HFOT is selected based on the severity of hypoxaemia, underlying mechanisms, and patient&#x2019;s breathing pattern and exercise tolerance (<xref ref-type="bibr" rid="B29">29</xref>). According to our experience, the best duration of HFOT may be 1&#x2013;2 hours. Indications for HFOT are cardiogenic pulmonary edema, secretion retention, and hypoxemic respiratory failure. Contraindications include poor cooperation, severe nasal obstruction, copious nose bleeding, recent nasal trauma, surgery representing potential, and mild symptoms without the need for HFOT. HFOT provides lower positive pressure and positive end-expiratory pressure, reducing the severity of hypoxemia. In this study, however, the PCO<sub>2</sub> values did not decrease because the parameters were within the normal range (35&#x2013;45 mmHg) by adjusting breathing.</p>
<p>The advantages of HFOT include (1) physiological benefits in patient comfort and outcomes in various clinical settings; (2) efficiency in hypoxemic acute respiratory failure; (3) easy implementation and management; (4) a minimal risk of developing skin breakdown; (5) low nurse workload; (6) stability of the nasal cannula; (7) no claustrophobia; and (8) eating, drinking, and communicating permitted. The disadvantages are runny nose, pneumothorax in newborns such as air-leak syndrome, feeling hot, noise, limited movement, and risk of delayed intubation. Infrequent problems are nasal mucosal irritation, discomfort, smelling alteration, and dislocation of the nasal cannula. When COT cannot achieve clinical needs (e.g. SPO<sub>2</sub> &lt; 90% due to intolerance of maximum inspired oxygen concentration or certain oxygen inhalation), converting COT to HFOT is not appropriate for patients with nasal injuries or diseases.</p>
<p>This study has limitations. First, we exclude the patients with SPO<sub>2</sub> values &lt;90% after 10 minutes of treatment starts and patients with worsening hypoxia, which may produce selection bias. Second, therapeutic effects are difficult to generalize in the development of ACPE in first-diagnosed and severe cases. Third, concomitant diseases may affect the assessments. Further prospective multicenter trials and a period of follow-up are required to validate the usefulness of HFOT in ACPE following hip fractures and surgery.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>In the treatment of elderly patients with ACPE following hip fractures and surgery, HFOT may be performed to improve ventilation when acute cardiogenic pulmonary edema does not significantly improve within 15 minutes of COT.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by institutional review boards of the Third Hospital of Hebei Medical University. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>CC: Conceptualization, Writing &#x2013; original draft. XT: Data curation, Investigation, Methodology, Writing &#x2013; review &amp; editing. WT: Formal Analysis, Methodology, Project administration, Resources, Validation, Writing &#x2013; review &amp; editing. XG: Investigation, Project administration, Software, Writing &#x2013; review &amp; editing. YH: Data curation, Investigation, Project administration, Writing &#x2013; review &amp; editing. XZ: Conceptualization, Data curation, Project administration, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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