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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">755536</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2022.755536</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Weaker Response to XueBiJing Treatment in Severe Community-Acquired Pneumonia Patients With Higher Body Mass Index or Hyperglycemia: A <italic>Post Hoc</italic> Analysis of a Randomized Controlled Trial</article-title>
<alt-title alt-title-type="left-running-head">Song et al.</alt-title>
<alt-title alt-title-type="right-running-head">XueBiJing Treatment in SCAP Patients</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Yansha</given-names>
</name>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1435652/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xiaocen</given-names>
</name>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1576816/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Cuicui</given-names>
</name>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wei</surname>
<given-names>Tingting</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1738254/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lang</surname>
<given-names>Ke</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1395230/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Dong</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1499957/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Yuanlin</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/370356/overview"/>
</contrib>
</contrib-group>
<aff>
<institution>Department of Pulmonary and Critical Care Medicine</institution>, <institution>Zhongshan Hospital, Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/894726/overview">Daniela Rigano</ext-link>, University of Naples Federico II, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/609166/overview">Barbara Ruaro</ext-link>, University of Trieste, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1735308/overview">Geovane Rossone Reis</ext-link>, UnirG, Brazil</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Dong Yang, <email>yang.dong@zs-hospital.sh.cn</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Ethnopharmacology, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>755536</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>11</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Song, Wang, Chen, Wei, Lang, Yang and Song.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Song, Wang, Chen, Wei, Lang, Yang and Song</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> Overweight and hyperglycemia might result in poor prognosis in patients with severe community-acquired pneumonia (SCAP). XueBiJing treatment could significantly improve the outcomes of patients with SCAP. We investigated the efficacy of XueBiJing injection in patients with SCAP stratified by body mass index (BMI) and fasting blood glucose (FBG).</p>
<p>
<bold>Methods:</bold> This is a <italic>post hoc</italic> analysis of XueBiJing trial, a large prospective, randomized, controlled study conducted in 33 hospitals in China. We compared data from non-overweight (BMI &#x3c;24&#xa0;kg/m<sup>2</sup>, <italic>n</italic> &#x3d; 425) vs. overweight (BMI &#x2265;24&#xa0;kg/m<sup>2</sup>, <italic>n</italic> &#x3d; 250) patients as well as non-hyperglycemia (FBG &#x3c;7&#xa0;mmol/L, <italic>n</italic> &#x3d; 315) vs. hyperglycemia (FBG &#x2265;7&#xa0;mmol/L, <italic>n</italic> &#x3d; 360) patients with XueBiJing, 100&#xa0;ml, q12&#xa0;h, or a visually indistinguishable placebo treatment for 5&#x2013;7 days.</p>
<p>
<bold>Results:</bold> Among patients with BMI &#x3c;24&#xa0;kg/m<sup>2</sup> (<italic>n</italic> &#x3d; 425), 33 (15.3%), XueBiJing recipients and 52 (24.9%) placebo recipients (<italic>p</italic> &#x3d; 0.0186) died within 28&#xa0;days. Among patients with BMI &#x2265;24&#xa0;kg/m<sup>2</sup> (<italic>n</italic> &#x3d; 250), XueBiJing recipients still had lower mortality (XueBiJing 16.9% vs. placebo 24.2%; <italic>p</italic> &#x3d; 0.2068) but without significantly statistical difference. For the FBG group, patients with FBG &#x3c;7&#xa0;mmol/L (<italic>n</italic> &#x3d; 315), 18 (11.2%) XueBiJing recipients and 32 (20.8%) placebo recipients (<italic>p</italic> &#x3d; 0.030) died within 28&#xa0;days. Among patients with FBG &#x2265;7&#xa0;mmol/L (<italic>n</italic> &#x3d; 360), XueBiJing recipients still had lower mortality (XueBiJing 20.2% vs. placebo 27.8%; <italic>p</italic> &#x3d; 0.120) but without significantly statistical difference. The total duration of the ICU stay and the duration of mechanical ventilation were similar in both groups (<italic>p</italic> &#x3e; 0.05).</p>
<p>
<bold>Conclusion:</bold> Overweight or hyperglycemia might weaken the efficacy of XueBiJing injection in the treatment of SCAP as indicated by the significant elevated risk of 28-day mortality. Additional studies are needed to validate our findings and to further understand the underlying mechanisms.</p>
</abstract>
<kwd-group>
<kwd>severe community-acquired pneumonia</kwd>
<kwd>post hoc analysis</kwd>
<kwd>randomized controlled trial</kwd>
<kwd>28-day mortality rate</kwd>
<kwd>XueBiJing injection</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China-China Academy of General Technology Joint Fund for Basic Research<named-content content-type="fundref-id">10.13039/501100019492</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>Community-acquired pneumonia remains one of the leading infectious diseases despite advances in antibiotic treatment (<xref ref-type="bibr" rid="B43">Torres et al., 2015</xref>). The mortality rate among patients admitted to hospital with pneumonia is estimated at 8&#x2013;15% (<xref ref-type="bibr" rid="B10">Fine et al., 1996</xref>). The main physiological function of the lung is gas exchange. At the same time, because it is directly exposed to the outside world, the lung is vulnerable to microbial invasion and environmental noxious particles (<xref ref-type="bibr" rid="B16">Hu et al., 2021</xref>). In healthy lungs, this defense function is mainly achieved through the production of epithelial barriers and surfactant proteins by alveolar cells (<xref ref-type="bibr" rid="B37">Ruaro et al., 2021</xref>). Obesity and hyperglycemia were reported as risk factors for poor prognosis of acquiring infections including community-acquired pneumonia (CAP). Obesity may influence either the risk of getting an infection or the outcome of an infection once it is established. Obese people are more likely than people of normal weight to develop serious complications of respiratory infections (<xref ref-type="bibr" rid="B8">Falagas and Kompoti, 2006</xref>; <xref ref-type="bibr" rid="B23">Kornum et al., 2010</xref>; <xref ref-type="bibr" rid="B17">Huttunen and Syrj&#xe4;nen, 2013</xref>). A recent large observational study suggested a stepwise increase in mortality and length of hospital stay in CAP patients with higher serum glucose levels (<xref ref-type="bibr" rid="B25">Lepper et al., 2012</xref>). Hyperglycemia was demonstrated to be a common occurrence during sepsis and independently associated with increased mortality in sepsis patients (<xref ref-type="bibr" rid="B44">van Vught et al., 2016</xref>). Clinical trials in patients with CAP in different nutritional and metabolic status are lacking. But, it is unclear whether obesity and hyperglycemia impact the choices of treatments and the effectiveness of drugs in CAP patients, not to mention patients with severe CAP (SCAP).</p>
<p>XueBiJing, an injectable prescription from traditional Chinese medicine, has been approved to treat severe infections (sepsis) in guidelines (China Food and Drug Administration, Beijing, China, Number Z20040033) (<xref ref-type="bibr" rid="B36">Qi et al., 2011</xref>; <xref ref-type="bibr" rid="B28">Li et al., 2020</xref>). Animal experiments and clinical research studies showed that XueBiJing combined with conventional therapy could improve the prognosis of patients with infectious diseases (<xref ref-type="bibr" rid="B4">Chen et al., 2018</xref>; <xref ref-type="bibr" rid="B27">Li et al., 2018</xref>; <xref ref-type="bibr" rid="B26">Li et al., 2021</xref>). More inspiringly, it was recently reported that XueBiJing injection led to a statistically significant improvement in the mortality, duration of mechanical ventilation, and duration of ICU stay in critically ill patients with SCAP (<xref ref-type="bibr" rid="B42">Song et al., 2019</xref>).</p>
<p>In consideration of the impact of overweight and hyperglycemia on the poor prognosis of CAP and the effects of XueBiJing on SCAP patients, the aim of this study was to investigate the impact of obesity and hyperglycemia on outcomes in patients with SCAP by <italic>post hoc</italic> analysis of the large, randomized, controlled XueBiJing trial in order to provide related data for physicians to make optimal clinical decision. We recommend XueBiJing for non-overweight and non-hyperglycemic patients due to the significant reduction in 28-day mortality.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Participants and Study Design</title>
<p>This study is a <italic>post hoc</italic> analysis of the main multicenter randomized controlled trial (RCT), &#x201c;XueBiJing injection versus placebo for critically ill patients with severe community-acquired pneumonia: a randomized controlled trial.&#x201d; The study design and results have been published in detail previously (<xref ref-type="bibr" rid="B42">Song et al., 2019</xref>). The study was approved by the Medical Ethics Committee of Zhongshan Hospital, Fudan University [2011&#x2013;2038 (<xref ref-type="bibr" rid="B16">Hu et al., 2021</xref>)], and informed consents were obtained from all patients or their legal guardians before enrollment. Eligible 710 participants enrolled at 33 centers with SCAP were randomly administered with XueBiJing (<italic>n</italic> &#x3d; 334) or placebo (<italic>n</italic> &#x3d; 341) for 5&#x2013;7&#xa0;days. The participants were followed up for 28&#xa0;days after randomization. The participants received the solvent only (normal saline, 200&#xa0;ml, q12&#xa0;h) in the placebo group and the solvent plus XueBiJing (normal saline 100&#xa0;ml &#x2b; XueBiJing 100&#xa0;ml, q12&#xa0;h) in the XueBiJing group. Both groups received a standard therapy (such as antibiotics) chosen by the attending physician according to the 2007 American Thoracic Society/Infectious Diseases Society of America guidelines (<xref ref-type="bibr" rid="B30">Mandell et al., 2007</xref>). Patients were categorized into two different BMI groups or FBG groups: non-overweight (BMI &#x3c;24.0&#xa0;kg/m<sup>2</sup>) and overweight (BMI &#x2265;24.0&#xa0;kg/m<sup>2</sup>) based on the Criteria of Weight for Adults released by the Ministry of Health of China and previous study (<xref ref-type="bibr" rid="B29">Liu et al., 2018</xref>; <xref ref-type="bibr" rid="B6">Dong et al., 2019</xref>; <xref ref-type="bibr" rid="B45">Wang et al., 2019</xref>) or non-hyperglycemia (FBG &#x2265;7&#xa0;mmol/L) and hyperglycemia (FBG &#x2265;7&#xa0;mmol/L) according to the international standard (<xref ref-type="bibr" rid="B33">Menke et al., 2015</xref>; <xref ref-type="bibr" rid="B1">American Diabetes Association, 2021</xref>).</p>
</sec>
<sec id="s2-2">
<title>Endpoints</title>
<p>In the XueBiJing study, an 8-day improvement in pneumonia severity index (PSI) risk rating was defined as the primary outcome. Secondary outcomes included 28-day mortality, the duration of mechanical ventilation, and the total duration of ICU stay. In this <italic>post hoc</italic> analysis, the primary outcome was 28-day mortality. The main secondary outcomes were the duration of mechanical ventilation and total duration of ICU stay.</p>
</sec>
<sec id="s2-3">
<title>Statistical Analysis</title>
<p>Continuous variables were expressed as mean &#xb1; standard deviation (SD) or median with interquartile range (IQR), while categorical variables were expressed as frequencies with percentages. Primary outcome analysis was a simple categorical frequency comparison by use of the chi-squared test. The secondary outcomes for the duration of mechanical ventilation and total duration of ICU stay were analyzed by the <italic>t</italic>-test or the Wilcoxon rank sum test as appropriate. Kaplan&#x2013;Meier estimates were used for time-to-event variables, and differences among the groups were compared with a log rank test. HR and associated 95% CIs were estimated from the Cox proportional hazard model. All the analyses were performed on the modified intention-to-treat population, which comprised all the patients who were randomized to treatment. A two-tailed value of <italic>p</italic> &#x3c; 0.05 was regarded as significant. All analyses were performed with R version 4.0.3.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>Of the 710 participants enrolled at 33 centers, 334 were assigned to the XueBiJing treatment group and 341 to the placebo treatment group; 35 participants were excluded from this study due to missing data. <xref ref-type="fig" rid="F1">Figure 1</xref> shows the study profile of our study. Demographic and basal clinical characteristics of all participants are listed in <xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref>, which was classified according to BMI or FBG. The BMI of overweight patients (<italic>n</italic> &#x3d; 250) was 26.28 &#xb1; 2.15&#xa0;kg/m<sup>2</sup>, and 68.8% of them (<italic>n</italic> &#x3d; 172) were male. The FBG of hyperglycemia patients (<italic>n</italic> &#x3d; 360) was 10.63 &#xb1; 3.67&#xa0;mmol/L, and 71.7% of them (<italic>n</italic> &#x3d; 258) were male. Differences of baseline comorbidities, PSI score, or other biological parameters were not significantly different between high and not-high BMI or high and not-high FBG groups. In <xref ref-type="table" rid="T3">Tables 3</xref>, <xref ref-type="table" rid="T4">4</xref>, the proportion of patients with ARDS and the baseline settings of mechanical ventilation was not significantly different from that of the compared group either.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The profile of our Study: <bold>(A)</bold> BMI Group; <bold>(B)</bold> FBG Group.</p>
</caption>
<graphic xlink:href="fphar-13-755536-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Demographic and basal clinical characteristics of patients between XueBiJing and placebo groups in the BMI group.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th colspan="2" align="center">Non-overweight (BMI &#x3c;24)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
<th colspan="2" align="center">Overweight (BMI &#x2265;24)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">209</td>
<td align="center">216</td>
<td align="left"/>
<td align="center">132</td>
<td align="center">118</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Age, yr,&#x2a;</td>
<td align="center">58.18 (15.52)</td>
<td align="center">59.12 (13.82)</td>
<td align="center">0.508</td>
<td align="center">58.05 (11.98)</td>
<td align="center">57.85 (13.15)</td>
<td align="center">0.897</td>
</tr>
<tr>
<td align="left">Men, %</td>
<td align="center">148 ( 70.8)</td>
<td align="center">138 ( 63.9)</td>
<td align="center">0.156</td>
<td align="center">86 ( 65.2)</td>
<td align="center">86 ( 72.9)</td>
<td align="center">0.238</td>
</tr>
<tr>
<td align="left">Body mass index, kg/m<sup>2</sup>,&#x2a;</td>
<td align="center">20.73 (2.95)</td>
<td align="center">20.71 (2.84)</td>
<td align="center">0.943</td>
<td align="center">26.15 (2.13)</td>
<td align="center">26.42 (2.16)</td>
<td align="center">0.333</td>
</tr>
<tr>
<td align="left">Systolic blood pressure, mm Hg, &#x2a;</td>
<td align="center">128.81 (24.96)</td>
<td align="center">127.35 (21.45)</td>
<td align="center">0.519</td>
<td align="center">130.85 (20.89)</td>
<td align="center">133.96 (25.61)</td>
<td align="center">0.292</td>
</tr>
<tr>
<td align="left">Heart rate, beats/min, &#x2a;</td>
<td align="center">108.34 (20.11)</td>
<td align="center">109.63 (20.50)</td>
<td align="center">0.513</td>
<td align="center">108.28 (18.89)</td>
<td align="center">110.98 (20.99)</td>
<td align="center">0.285</td>
</tr>
<tr>
<td align="left">Respiratory rate, breaths/min, &#x2a;</td>
<td align="center">27.89 (6.63)</td>
<td align="center">27.77 (6.82)</td>
<td align="center">0.852</td>
<td align="center">27.92 (5.44)</td>
<td align="center">28.47 (5.22)</td>
<td align="center">0.424</td>
</tr>
<tr>
<td align="left">Temperature, &#xb0;C, &#x2a;</td>
<td align="center">37.97 (1.06)</td>
<td align="center">38.02 (1.05)</td>
<td align="center">0.624</td>
<td align="center">38.17 (1.04)</td>
<td align="center">38.28 (1.08)</td>
<td align="center">0.419</td>
</tr>
<tr>
<td align="left">Pao2/Fio2, &#x2a;</td>
<td align="center">173.88 (55.85)</td>
<td align="center">170.94 (56.81)</td>
<td align="center">0.592</td>
<td align="center">171.97 (53.73)</td>
<td align="center">164.47 (54.47)</td>
<td align="center">0.275</td>
</tr>
<tr>
<td align="left">Glasgow score,&#x2a;&#xa0;</td>
<td align="center">11.53 (3.53)</td>
<td align="center">11.40 (3.55)</td>
<td align="center">0.709</td>
<td align="center">11.89 (3.58)</td>
<td align="center">12.14 (3.17)</td>
<td align="center">0.574</td>
</tr>
<tr>
<td align="left">Comorbidities (%)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Chronic bronchitis</td>
<td align="center">4 (1.9)</td>
<td align="center">1 (0.46)</td>
<td align="left"/>
<td align="center">0 (&#xa0;0.0)</td>
<td align="center">3 (2.54)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Coronary artery disease</td>
<td align="center">3 ( 1.4)</td>
<td align="center">4 (1.85)</td>
<td align="left"/>
<td align="center">5 (3.79)</td>
<td align="center">3 (2.54)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Diabetes mellitus (any type)</td>
<td align="center">5 ( 2.39)</td>
<td align="center">5 (2.31)</td>
<td align="left"/>
<td align="center">3 (2.27)</td>
<td align="center">6 (5.08)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="center">30 (14.35)</td>
<td align="center">18 (8.33)</td>
<td align="left"/>
<td align="center">18 (13.6)</td>
<td align="center">20 (16.9)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Parkinson&#x2019;s disease</td>
<td align="center">1 (&#xa0;0.48)</td>
<td align="center">1 (0.46)</td>
<td align="left"/>
<td align="center">2 (1.51)</td>
<td align="center">0 (&#xa0;0.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Polytrauma</td>
<td align="center">2 (0.96)</td>
<td align="center">1 (0.46)</td>
<td align="left"/>
<td align="center">0 (&#xa0;0.0)</td>
<td align="center">1 (0.85)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">C-reactive protein, mg/L, &#x2a;</td>
<td align="center">85.11 (75.32)</td>
<td align="center">86.88 (84.71)</td>
<td align="center">0.837</td>
<td align="center">93.08 (110.15)</td>
<td align="center">84.55 (110.17)</td>
<td align="center">0.578</td>
</tr>
<tr>
<td align="left">Leucocytes, 10<sup>9</sup> cells/L, &#x2a;</td>
<td align="center">12.65 (6.93)</td>
<td align="center">13.59 (6.98)</td>
<td align="center">0.162</td>
<td align="center">12.56 (5.86)</td>
<td align="center">12.80 (6.62)</td>
<td align="center">0.766</td>
</tr>
<tr>
<td align="left">FBG, mmol/L, &#x2a;</td>
<td align="center">8.03 (3.42)</td>
<td align="center">8.27 (3.93)</td>
<td align="center">0.494</td>
<td align="center">8.34 (3.90)</td>
<td align="center">8.58 (3.74)</td>
<td align="center">0.629</td>
</tr>
<tr>
<td align="left">PT, &#x2a;</td>
<td align="center">14.91 (7.71)</td>
<td align="center">14.47 (4.86)</td>
<td align="center">0.493</td>
<td align="center">14.14 (4.58)</td>
<td align="center">13.71 (2.68)</td>
<td align="center">0.389</td>
</tr>
<tr>
<td align="left">PSI (%)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Class I&#xa0;</td>
<td align="center">7 (&#xa0;3.3)</td>
<td align="center">7 (&#xa0;3.2)</td>
<td align="center">0.846</td>
<td align="center">7 (&#xa0;5.3)</td>
<td align="center">3 (&#xa0;2.5)</td>
<td align="center">0.511</td>
</tr>
<tr>
<td align="left">Class II&#xa0;</td>
<td align="center">10 (&#xa0;4.8)</td>
<td align="center">13 (&#xa0;6.0)</td>
<td align="left"/>
<td align="center">10 (&#xa0;7.6)</td>
<td align="center">9 (&#xa0;7.6)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Class III&#xa0;</td>
<td align="center">38 (18.2)</td>
<td align="center">32 (14.8)</td>
<td align="left"/>
<td align="center">18 (13.6)</td>
<td align="center">15 (12.7)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Class IV&#xa0;</td>
<td align="center">103 (49.3)</td>
<td align="center">105 (48.6)</td>
<td align="left"/>
<td align="center">65 (49.2)</td>
<td align="center">52 (44.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Class V&#xa0;</td>
<td align="center">51 (24.4)</td>
<td align="center">59 (27.3)</td>
<td align="left"/>
<td align="center">32 (24.2)</td>
<td align="center">39 (33.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Total PSI score, &#x2a;</td>
<td align="center">114.74 (31.24)</td>
<td align="center">116.42 (33.70)</td>
<td align="center">0.602</td>
<td align="center">112.34 (28.42)</td>
<td align="center">115.63 (32.21)</td>
<td align="center">0.401</td>
</tr>
<tr>
<td align="left">APCHE II score, &#x2a;</td>
<td align="center">15.84 (6.61)</td>
<td align="center">15.84 (6.17)</td>
<td align="center">0.993</td>
<td align="center">15.23 (5.96)</td>
<td align="center">14.87 (6.10)</td>
<td align="center">0.643</td>
</tr>
<tr>
<td align="left">Mechanical ventilation, <italic>n</italic> (%)&#xa0;</td>
<td align="center">129 (61.7)</td>
<td align="center">130 (60.2)</td>
<td align="center">0.822</td>
<td align="center">84 (63.6)</td>
<td align="center">80 (67.8)</td>
<td align="center">0.577</td>
</tr>
<tr>
<td align="left">SOFA score, &#x2a;</td>
<td align="center">6.29 (2.76)</td>
<td align="center">6.16 (2.86)</td>
<td align="center">0.631</td>
<td align="center">5.77 (2.74)</td>
<td align="center">5.97 (2.70)</td>
<td align="center">0.561</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PSI, pneumonia severity index. PSI risk class I corresponds to age &#x2264; 50&#xa0;yr and no risk factors (&#x2264; 50 points), risk class II to &#x3c; 70 points, risk class III to 71&#x2013;90 points, risk class IV to 91&#x2013;130 points, and risk class V to &#x3e; 130 points.</p>
</fn>
<fn>
<p>&#x2a;mean (SD).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Demographic and basal clinical characteristics of patients between XueBiJing and placebo groups in the FBG group.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th colspan="2" align="center">Non-hyperglycemia (FBG &#x3c;7)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
<th colspan="2" align="center">Hyperglycemia (FBG &#x2265;7)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">154</td>
<td align="center">161</td>
<td align="left"/>
<td align="center">187</td>
<td align="center">173</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Age, yr,&#x2a;</td>
<td align="center">56.27 (14.48)</td>
<td align="center">57.63 (14.15)</td>
<td align="center">0.399</td>
<td align="center">59.66 (13.89)</td>
<td align="center">59.64 (13.00)</td>
<td align="center">0.988</td>
</tr>
<tr>
<td align="left">Men, (%)</td>
<td align="center">98 (63.6)</td>
<td align="center">102 (63.4)</td>
<td align="center">1</td>
<td align="center">136 (72.7)</td>
<td align="center">122 (70.5)</td>
<td align="center">0.728</td>
</tr>
<tr>
<td align="left">Body mass index, kg/m<sup>2</sup>, &#x2a;</td>
<td align="center">22.95 (3.86)</td>
<td align="center">22.47 (3.65)</td>
<td align="center">0.257</td>
<td align="center">22.73 (3.67)</td>
<td align="center">22.97 (3.89)</td>
<td align="center">0.555</td>
</tr>
<tr>
<td align="left">Systolic blood pressure, mm Hg, &#x2a;</td>
<td align="center">128.43 (21.36)</td>
<td align="center">125.17 (19.59)</td>
<td align="center">0.159</td>
<td align="center">130.56 (25.07)</td>
<td align="center">133.88 (25.44)</td>
<td align="center">0.213</td>
</tr>
<tr>
<td align="left">Heart rate, beats/min, &#x2a;</td>
<td align="center">108.05 (19.93)</td>
<td align="center">107.59 (21.42)</td>
<td align="center">0.845</td>
<td align="center">108.55 (19.41)</td>
<td align="center">112.46 (19.68)</td>
<td align="center">0.059</td>
</tr>
<tr>
<td align="left">Respiratory rate, breaths/min, &#x2a;</td>
<td align="center">27.84 (6.05)</td>
<td align="center">28.73 (6.43)</td>
<td align="center">0.204</td>
<td align="center">27.96 (6.32)</td>
<td align="center">27.35 (6.13)</td>
<td align="center">0.354</td>
</tr>
<tr>
<td align="left">Temperature, &#xb0;C, &#x2a;</td>
<td align="center">38.15 (1.07)</td>
<td align="center">38.27 (1.08)</td>
<td align="center">0.302</td>
<td align="center">37.96 (1.04)</td>
<td align="center">37.96 (1.03)</td>
<td align="center">0.969</td>
</tr>
<tr>
<td align="left">Pao2/Fio2, &#x2a;</td>
<td align="center">169.83 (47.73)</td>
<td align="center">169.62 (49.21)</td>
<td align="center">0.969</td>
<td align="center">175.86 (60.27)</td>
<td align="center">167.75 (61.79)</td>
<td align="center">0.208</td>
</tr>
<tr>
<td align="left">Glasgow score, &#x2a;</td>
<td align="center">11.75 (3.40)</td>
<td align="center">11.80 (3.34)</td>
<td align="center">0.912</td>
<td align="center">11.60 (3.67)</td>
<td align="center">11.53 (3.53)</td>
<td align="center">0.86</td>
</tr>
<tr>
<td align="left">Comorbidities (%)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Chronic bronchitis</td>
<td align="center">2 (1.30)</td>
<td align="center">1 (0.62)</td>
<td align="left"/>
<td align="center">2 (1.07)</td>
<td align="center">3 (1.73)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Coronary artery disease</td>
<td align="center">4 (2.60)</td>
<td align="center">3 (1.86)</td>
<td align="left"/>
<td align="center">4 (2.14)</td>
<td align="center">4 (2.31)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Diabetes mellitus (any type)</td>
<td align="center">1 (0.65)</td>
<td align="center">0 (&#xa0;0.0)</td>
<td align="left"/>
<td align="center">7 (3.74)</td>
<td align="center">11 (6.36)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="center">14 (9.10)</td>
<td align="center">16 (9.93)</td>
<td align="left"/>
<td align="center">34 (18.18)</td>
<td align="center">22 (12.71)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Parkinson&#x2019;s disease</td>
<td align="center">2 (1.30)</td>
<td align="center">1 (0.62)</td>
<td align="left"/>
<td align="center">1 (0.53)</td>
<td align="center">0 (&#xa0;0.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Polytrauma</td>
<td align="center">1 (0.65)</td>
<td align="center">0 (&#xa0;0.0)</td>
<td align="left"/>
<td align="center">1 (0.53)</td>
<td align="center">2 (1.16)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">C-reactive protein, mg/L, &#x2a;</td>
<td align="center">68.39 (91.49)</td>
<td align="center">85.39 (107.19)</td>
<td align="center">0.167</td>
<td align="center">104.65 (85.24)</td>
<td align="center">86.65 (80.53)</td>
<td align="center">0.068</td>
</tr>
<tr>
<td align="left">Leucocytes, 10<sup>9</sup> cells/L, &#x2a;</td>
<td align="center">12.36 (5.95)</td>
<td align="center">12.85 (6.29)</td>
<td align="center">0.478</td>
<td align="center">12.82 (6.98)</td>
<td align="center">13.74 (7.34)</td>
<td align="center">0.225</td>
</tr>
<tr>
<td align="left">FBG, mmol/L, &#x2a;</td>
<td align="center">5.53 (0.91)</td>
<td align="center">5.58 (0.87)</td>
<td align="center">0.586</td>
<td align="center">10.31 (3.58)</td>
<td align="center">10.98 (3.74)</td>
<td align="center">0.081</td>
</tr>
<tr>
<td align="left">PT, &#x2a;</td>
<td align="center">13.90 (3.69)</td>
<td align="center">13.99 (3.75)</td>
<td align="center">0.835</td>
<td align="center">15.21 (8.38)</td>
<td align="center">14.39 (4.62)</td>
<td align="center">0.26</td>
</tr>
<tr>
<td align="left">PSI (%)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Class I</td>
<td align="center">8 (&#xa0;5.2)</td>
<td align="center">6 (&#xa0;3.7)</td>
<td align="center">0.952</td>
<td align="center">6 (&#xa0;3.2)</td>
<td align="center">4 (&#xa0;2.3)</td>
<td align="center">0.242</td>
</tr>
<tr>
<td align="left">Class II</td>
<td align="center">13 (&#xa0;8.4)</td>
<td align="center">13 (&#xa0;8.1)</td>
<td align="left"/>
<td align="center">7 (&#xa0;3.7)</td>
<td align="center">9 (&#xa0;5.2)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Class III</td>
<td align="center">27 (17.5)</td>
<td align="center">26 (16.1)</td>
<td align="left"/>
<td align="center">29 (15.5)</td>
<td align="center">21 (12.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Class IV</td>
<td align="center">72 (46.8)</td>
<td align="center">81 (50.3)</td>
<td align="left"/>
<td align="center">96 (51.3)</td>
<td align="center">76 (43.9)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Class V</td>
<td align="center">34 (22.1)</td>
<td align="center">35 (21.7)</td>
<td align="left"/>
<td align="center">49 (26.2)</td>
<td align="center">63 (36.4)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Total PSI score, &#x2a;</td>
<td align="center">107.92 (27.77)</td>
<td align="center">110.58 (30.37)</td>
<td align="center">0.43</td>
<td align="center">118.59 (31.25)</td>
<td align="center">121.24 (34.80)</td>
<td align="center">0.453</td>
</tr>
<tr>
<td align="left">APCHE II score, &#x2a;</td>
<td align="center">15.05 (6.52)</td>
<td align="center">15.04 (5.82)</td>
<td align="center">0.998</td>
<td align="center">16.06 (6.22)</td>
<td align="center">15.92 (6.45)</td>
<td align="center">0.841</td>
</tr>
<tr>
<td align="left">Mechanical ventilation, <italic>n</italic> (%)&#xa0;</td>
<td align="center">89 ( 57.8)</td>
<td align="center">88 ( 54.7)</td>
<td align="center">0.655</td>
<td align="center">124 ( 66.3)</td>
<td align="center">122 ( 70.5)</td>
<td align="center">0.457</td>
</tr>
<tr>
<td align="left">SOFA score, &#x2a;</td>
<td align="center">5.72 (2.35)</td>
<td align="center">5.79 (2.79)</td>
<td align="center">0.811</td>
<td align="center">6.39 (3.03)</td>
<td align="center">6.38 (2.79)</td>
<td align="center">0.962</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Rate of patients with ARDS and the baseline settings of mechanical ventilation in the BMI group.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th colspan="2" align="center">Non-overweight (BMI &#x3c;24)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
<th colspan="2" align="center">Overweight (BMI &#x2265;24)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">209</td>
<td align="center">216</td>
<td align="left"/>
<td align="center">132</td>
<td align="center">118</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ARDS, n(%)</td>
<td align="center">66 (31.6)</td>
<td align="center">63 (29.2)</td>
<td align="center">0.663</td>
<td align="center">39 (29.5)</td>
<td align="center">39 (33.1)</td>
<td align="center">0.645</td>
</tr>
<tr>
<td align="left">Mechanical ventilation, <italic>n</italic> (%)&#xa0;</td>
<td align="center">129 (61.7)</td>
<td align="center">130 (60.2)</td>
<td align="center">0.822</td>
<td align="center">84 (63.6)</td>
<td align="center">80 (67.8)</td>
<td align="center">0.577</td>
</tr>
<tr>
<td align="left">Invasive ventilation, <italic>n</italic> (%)&#xa0;</td>
<td align="center">92 (71.3)</td>
<td align="center">98 (75.4)</td>
<td align="center">0.549</td>
<td align="center">62 (73.8)</td>
<td align="center">54 (67.5)</td>
<td align="center">0.474</td>
</tr>
<tr>
<td align="left">Tidal volume, mean (SD)&#xa0;</td>
<td align="center">459.54 (71.36)</td>
<td align="center">462.93 (79.79)</td>
<td align="center">0.719</td>
<td align="center">475.70 (61.10)</td>
<td align="center">484.56 (90.56)</td>
<td align="center">0.462</td>
</tr>
<tr>
<td align="left">Positive end-expiratory pressure, mean (SD)&#xa0;</td>
<td align="center">6.43 (2.59)</td>
<td align="center">6.45 (2.80)</td>
<td align="center">0.953</td>
<td align="center">6.10 (2.25)</td>
<td align="center">6.41 (2.74)</td>
<td align="center">0.418</td>
</tr>
<tr>
<td align="left">AC, n (%)</td>
<td align="center">4 (&#xa0;3.1)</td>
<td align="center">11 (&#xa0;8.5)</td>
<td align="left"/>
<td align="center">7 (&#xa0;8.3)</td>
<td align="center">3 (&#xa0;3.8)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Bi-level positive airway pressure ventilation, <italic>n</italic> (%)&#xa0;</td>
<td align="center">18 (14.0)</td>
<td align="center">23 ( 17.7)</td>
<td align="left"/>
<td align="center">10 (11.9)</td>
<td align="center">11 (13.8)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Continuous positive airway pressure, <italic>n</italic> (%)&#xa0;</td>
<td align="center">6 (&#xa0;4.7)</td>
<td align="center">4 (&#xa0;3.1)</td>
<td align="left"/>
<td align="center">3 (&#xa0;3.6)</td>
<td align="center">3 (&#xa0;3.8)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Noninvasive ventilation, <italic>n</italic> (%)&#xa0;</td>
<td align="center">20 (15.5)</td>
<td align="center">17 (13.1)</td>
<td align="left"/>
<td align="center">12 (14.3)</td>
<td align="center">13 (16.2)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">PC</td>
<td align="center">8 (&#xa0;6.2)</td>
<td align="center">13 (10.0)</td>
<td align="left"/>
<td align="center">8 (&#xa0;9.5)</td>
<td align="center">12 (15.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">PSV</td>
<td align="center">9 (&#xa0;7.0)</td>
<td align="center">7 (&#xa0;5.4)</td>
<td align="left"/>
<td align="center">9 (10.7)</td>
<td align="center">7 (&#xa0;8.8)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">SIMV</td>
<td align="center">48 (37.2)</td>
<td align="center">38 (29.2)</td>
<td align="left"/>
<td align="center">26 (31.0)</td>
<td align="center">24 (30.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">SIMV&#x2b;SIMV/AS</td>
<td align="center">0 (&#xa0;0.0)</td>
<td align="center">0 (&#xa0;0.0)</td>
<td align="left"/>
<td align="center">6 (&#xa0;7.1)</td>
<td align="center">4 (&#xa0;5.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">SIMV&#x2b;PS</td>
<td align="center">13 (10.1)</td>
<td align="center">15 (11.5)</td>
<td align="left"/>
<td align="center">1 (&#xa0;1.2)</td>
<td align="center">0 (&#xa0;0.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">SPMV&#x2b;PS</td>
<td align="center">3 (&#xa0;2.3)</td>
<td align="center">2 (&#xa0;1.5)</td>
<td align="left"/>
<td align="center">2 (&#xa0;2.4)</td>
<td align="center">3 (&#xa0;3.8)</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ARDS, acute respiratory distress syndrome.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Rate of patients with ARDS and the baseline settings of mechanical ventilation in the FBG group</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th colspan="2" align="center">Non-hyperglycemia (FBG &#x3c;7)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
<th colspan="2" align="center">Hyperglycemia (FBG &#x2265;7)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">n</td>
<td align="center">154</td>
<td align="center">161</td>
<td align="left"/>
<td align="center">187</td>
<td align="center">173</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ARDS, n (%)</td>
<td align="center">35 (22.7)</td>
<td align="center">39 (24.2)</td>
<td align="center">0.857</td>
<td align="center">70 ( 37.4)</td>
<td align="center">63 ( 36.4)</td>
<td align="center">0.928</td>
</tr>
<tr>
<td align="left">Mechanical ventilation, <italic>n</italic> (%)&#xa0;</td>
<td align="center">89 ( 57.8)</td>
<td align="center">88 ( 54.7)</td>
<td align="center">0.655</td>
<td align="center">124 ( 66.3)</td>
<td align="center">122 ( 70.5)</td>
<td align="center">0.457</td>
</tr>
<tr>
<td align="left">Invasive ventilation, <italic>n</italic> (%)&#xa0;</td>
<td align="center">54 ( 60.7)</td>
<td align="center">59 ( 67.0)</td>
<td align="center">0.468</td>
<td align="center">100 ( 80.6)</td>
<td align="center">93 ( 76.2)</td>
<td align="center">0.492</td>
</tr>
<tr>
<td align="left">Tidal volume, mean (SD)&#xa0;</td>
<td align="center">468.51 (55.56)</td>
<td align="center">460.09 (89.50)</td>
<td align="center">0.453</td>
<td align="center">464.06 (75.56)</td>
<td align="center">479.16 (80.12)</td>
<td align="center">0.129</td>
</tr>
<tr>
<td align="left">Positive end-expiratory pressure, mean (SD)&#xa0;</td>
<td align="center">5.96 (1.93)</td>
<td align="center">6.07 (2.15)</td>
<td align="center">0.713</td>
<td align="center">6.54 (2.76)</td>
<td align="center">6.70 (3.13)</td>
<td align="center">0.678</td>
</tr>
<tr>
<td align="left">AC, n (%)</td>
<td align="center">3 (&#xa0;3.4)</td>
<td align="center">5 (&#xa0;5.7)</td>
<td align="left"/>
<td align="center">8 (&#xa0;6.5)</td>
<td align="center">9 (&#xa0;7.4)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Bi-level positive airway pressure ventilation, <italic>n</italic> (%)&#xa0;</td>
<td align="center">13 ( 14.6)</td>
<td align="center">12 ( 13.6)</td>
<td align="left"/>
<td align="center">15 ( 12.1)</td>
<td align="center">22 ( 18.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Continuous positive airway pressure, <italic>n</italic> (%)&#xa0;</td>
<td align="center">8 (&#xa0;9.0)</td>
<td align="center">4 (&#xa0;4.5)</td>
<td align="left"/>
<td align="center">1 (&#xa0;0.8)</td>
<td align="center">3 (&#xa0;2.5)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Noninvasive ventilation, <italic>n</italic> (%)&#xa0;</td>
<td align="center">16 ( 18.0)</td>
<td align="center">18 ( 20.5)</td>
<td align="left"/>
<td align="center">16 ( 12.9)</td>
<td align="center">12 (&#xa0;9.8)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">PC</td>
<td align="center">7 (&#xa0;7.9)</td>
<td align="center">10 ( 11.4)</td>
<td align="left"/>
<td align="center">9 (&#xa0;7.3)</td>
<td align="center">15 ( 12.3)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">PSV</td>
<td align="center">8 (&#xa0;9.0)</td>
<td align="center">10 ( 11.4)</td>
<td align="left"/>
<td align="center">10 (&#xa0;8.1)</td>
<td align="center">4 (&#xa0;3.3)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">SIMV</td>
<td align="center">28 ( 31.5)</td>
<td align="center">25 ( 28.4)</td>
<td align="left"/>
<td align="center">46 ( 37.1)</td>
<td align="center">37 ( 30.3)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">SIMV&#x2b;SIMV/AS</td>
<td align="center">4 (&#xa0;4.5)</td>
<td align="center">3 (&#xa0;3.4)</td>
<td align="left"/>
<td align="center">15 ( 12.1)</td>
<td align="center">16 ( 13.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">SIMV&#x2b;PS</td>
<td align="center">1 (&#xa0;0.8)</td>
<td align="center">0 (&#xa0;0.0)</td>
<td align="left"/>
<td align="center">1 (&#xa0;0.8)</td>
<td align="center">0 (&#xa0;0.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">SPMV&#x2b;PS</td>
<td align="center">2 (&#xa0;2.2)</td>
<td align="center">1 (&#xa0;1.1)</td>
<td align="left"/>
<td align="center">3 (&#xa0;2.4)</td>
<td align="center">4 (&#xa0;3.3)</td>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<p>In non-overweight and non-hyperglycemia groups, the XueBiJing injection group presented a significant lower 28-day mortality rate (15.3% or 11.2%) than that of the placebo treatment group (24.9% or 20.8%) (<italic>p</italic> &#x3d; 0.0018 or <italic>p</italic> &#x3d; 0.03). As for the secondary outcomes, both the duration of mechanical ventilation and total duration of ICU stay presented no statistical difference in non-overweight or non-hyperglycemia patients between XueBiJing injection and placebo treatment groups (<xref ref-type="table" rid="T5">Tables 5</xref>, <xref ref-type="table" rid="T6">6</xref>).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Primary and three secondary outcomes in the BMI group.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">BMI group</th>
<th colspan="2" align="center">Non-overweight (BMI &#x3c;24)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
<th colspan="2" align="center">Overweight (BMI &#x2265;24)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">209</td>
<td align="center">216</td>
<td align="left"/>
<td align="center">132</td>
<td align="center">118</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Primary outcome&#xa0;</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Total duration of ICU stay (median [IQR])&#xa0;</td>
<td align="center">11.00 [7.75, 18.00]</td>
<td align="center">11.00 [7.00, 16.25]</td>
<td align="center">0.346</td>
<td align="center">11.00 [8.00, 18.00]</td>
<td align="center">10.00 [7.00, 14.75]</td>
<td align="center">0.103</td>
</tr>
<tr>
<td align="left">Secondary outcomes&#xa0;</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">The time of mechanical ventilation (median [IQR])&#xa0;</td>
<td align="center">8.00 [5.25, 18.00]</td>
<td align="center">8.00 [6.00, 19.00]</td>
<td align="center">0.806</td>
<td align="center">9.00 [7.00, 17.00]</td>
<td align="center">7.00 [4.00, 12.50]</td>
<td align="center">0.062</td>
</tr>
<tr>
<td align="left">28-d mortality, n (%)</td>
<td align="center">52 (24.9)</td>
<td align="center">33 ( 15.3)</td>
<td align="center">0.01863</td>
<td align="center">32 (24.2)</td>
<td align="center">20 ( 16.9)</td>
<td align="center">0.2068</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Primary and three secondary outcomes in the FBG group.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">FBG group</th>
<th colspan="2" align="center">Non-hyperglycemia (FBG &#x3c;7)</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
<th colspan="2" align="center">Hyperglycemia (FBG &#x2265;7)</th>
<th rowspan="2" align="left">
<italic>p</italic>-value</th>
</tr>
<tr>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
<th align="center">Placebo group</th>
<th align="center">XBJ group</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">154</td>
<td align="center">161</td>
<td align="left"/>
<td align="center">187</td>
<td align="center">173</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Primary outcome&#xa0;</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Total duration of ICU stay (median [IQR])&#xa0;</td>
<td align="center">10.00 [7.00, 16.00]</td>
<td align="center">10.50 [7.00, 14.00]</td>
<td align="center">0.244</td>
<td align="center">11.50 [8.00, 21.75]</td>
<td align="center">10.50 [7.00, 17.00]</td>
<td align="center">0.246</td>
</tr>
<tr>
<td align="left">Secondary outcomes&#xa0;</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">The time of mechanical ventilation (median [IQR])&#xa0;</td>
<td align="center">8.00 [6.75, 14.25]</td>
<td align="center">8.00 [5.00, 13.00]</td>
<td align="center">0.273</td>
<td align="center">9.00 [6.00, 18.00]</td>
<td align="center">8.00 [5.00, 18.25]</td>
<td align="center">0.69</td>
</tr>
<tr>
<td align="left">28-d mortality, n (%)</td>
<td align="center">32 (20.8)</td>
<td align="center">18 ( 11.2)</td>
<td align="center">0.03</td>
<td align="center">52 (27.8)</td>
<td align="center">35 ( 20.2)</td>
<td align="center">0.12</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In the non-overweight group (<italic>p</italic> &#x3d; 0.018) and non-hyperglycemia group (<italic>p</italic> &#x3d; 0.025), patients with XueBiJing injection had a significantly superior overall survival to those who were treated with placebo. In overweight patients (<italic>p</italic> &#x3d; 0.18) and hyperglycemia patients (<italic>p</italic> &#x3d; 0.11), no significant differences in mortality between XueBiJing injection and placebo treatment groups were seen (<xref ref-type="fig" rid="F2">Figure 2</xref>). Some secondary outcomes are listed in <xref ref-type="sec" rid="s11">Supplementary Tables S1, S2</xref>. Among non-overweight or non-hyperglycemia patients, the XueBiJing injection group presented a significantly lower PSI (94.84 &#xb1; 28.54 or 86.71 &#xb1; 26.81) than the placebo treatment group (102.11 &#xb1; 30.18 or 93.89 &#xb1; 25.78, <italic>p</italic> &#x3d; 0.022 or <italic>p</italic> &#x3d; 0.032) at day 4.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Kaplan&#x2013;Meier survival curve of overall survival after XueBiJing (XBJ) and placebo for patients in <bold>(A,C)</bold> Patients with XBJ had a significantly inferior overall survival to those who with placebo: non-overweight group: (<italic>p</italic> &#x3d; 0.018),non-hyperglycemia group (<italic>p</italic> &#x3d; 0.025) <bold>(B,D)</bold> overweight group: <italic>p</italic> &#x3d; 0.18, hyperglycemia group: <italic>p</italic> &#x3d; 0.11</p>
</caption>
<graphic xlink:href="fphar-13-755536-g002.tif"/>
</fig>
<p>Adverse events (AEs) and clinically significant laboratory abnormalities are summarized in <xref ref-type="sec" rid="s11">Supplementary Tables S3, S4</xref>. There were no significant differences in AEs among patients in the XueBiJing and placebo groups.</p>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The results of the large multicenter trial showed that XueBiJing injection could improve the PSI of patients with SCAP and reduce the 28-day mortality rate compared with those of the placebo group. The 28-day mortality was reduced from 24.63% to 15.87% in patients treated with XueBiJing (<italic>p</italic> &#x3c; 0.01), which confirmed the effectiveness of XueBiJing injection in the treatment of SCAP.</p>
<p>Our results showed that XueBiJing injection was significantly effective and could reduce the 28-day mortality rate for patients with BMI &#x3c;24&#xa0;kg/m<sup>2</sup> or FBG &#x3c;7&#xa0;mmol/L. Even though the 28-day mortality rate for patients with BMI &#x2265;24&#xa0;kg/m<sup>2</sup> or FBG &#x2265;7.0&#xa0;mmol/L presented a lower trend in the XueBiJing injection group, it was not significant. These results suggested that overweight as well as hyperglycemia might have an adverse impact on the efficacy of XueBiJing injection in the treatment of SCAP.</p>
<p>XueBiJing, an injectable prescription from traditional Chinese medicine (TCM), is extensively used in the conventional management of sepsis with a history of more than 10 years (<xref ref-type="bibr" rid="B28">Li et al., 2020</xref>). Previous studies have shown that XueBiJing could protect endothelial cells, improve microcirculation and coagulopathy, alleviate inflammatory reaction, and regulate anti-oxidative stress (<xref ref-type="bibr" rid="B47">Xu et al., 2015</xref>; <xref ref-type="bibr" rid="B46">Wang et al., 2016</xref>; <xref ref-type="bibr" rid="B5">Chen et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Zuo et al., 2019</xref>). The protective effect appears to be mediated through downregulation of the TLR4 and NF-&#x3ba;B expressions (<xref ref-type="bibr" rid="B14">He et al., 2018</xref>). Previous gas chromatography/mass spectrometer (GC/MS)-based metabolomics study demonstrated that XueBiJing could increase the survival rate of the septic animal model by changing serum metabolites, which involved energy metabolism, glucose metabolism, and amino acid metabolism (<xref ref-type="bibr" rid="B18">Jiang et al., 2019</xref>).</p>
<p>Obesity is related to the occurrence and development of many diseases. Studies have shown that obesity is related to metabolic dysfunction (<xref ref-type="bibr" rid="B15">Hotamisligil, 2006</xref>; <xref ref-type="bibr" rid="B39">Shoelson et al., 2006</xref>). Excess adiposity and adipocyte dysfunction can lead to adverse outcomes by altering immune responses through releasing proinflammatory adipokines (<xref ref-type="bibr" rid="B35">Ouchi et al., 2011</xref>). Obesity affects lung function and high BMI reduces lung capacity, which are related to the adverse consequences of pneumonia (<xref ref-type="bibr" rid="B38">Rubinstein et al., 1990</xref>; <xref ref-type="bibr" rid="B19">Jones and Nzekwu, 2006</xref>). Consistent with the reports, our data also showed that obesity patients had a metabolic disorder, as indicated by the higher blood glucose level in the patients with BMI &#x2265;24&#xa0;kg/m<sup>2</sup> (8.45 &#xb1; 3.82&#xa0;mmol/L) than that in patients with BMI &#x3c;24&#xa0;kg/m<sup>2</sup> (8.15 &#xb1; 3.68&#xa0;mmol/L). On the other hand, it has been proven that overweight might affect the metabolism of the drug, thereby affecting the therapeutic effect (<xref ref-type="bibr" rid="B13">Hanley et al., 2010</xref>; <xref ref-type="bibr" rid="B22">Knibbe et al., 2015</xref>). Similarly, our data demonstrated that, not like patients with BMI &#x3c;24&#xa0;kg/m<sup>2</sup>, patients with BMI &#x2265;24&#xa0;kg/m<sup>2</sup> only had the trend of a lower 28-day mortality rate by XueBiJing injection without significance. Hence, we asserted that BMI &#x2265;24&#xa0;kg/m<sup>2</sup> might be one important risk factor for reducing the efficacy of XueBiJing. Therefore, a weight-based XueBiJing dosing strategy might be a better choice and need to be tested with future clinical research studies. Interestingly, there are still epidemiologic studies on general population or critical illness that showed beneficial effects of higher body mass index (BMI) on all-cause mortality (<xref ref-type="bibr" rid="B11">Flegal et al., 2013</xref>; <xref ref-type="bibr" rid="B20">Kahlon et al., 2013</xref>; <xref ref-type="bibr" rid="B41">Singanayagam et al., 2013</xref>). This &#x201c;obesity survival paradox&#x201d; and the underlying mechanisms at least need to be tested in SCAP.</p>
<p>SCAP is a disease with significant biochemical and metabolic disturbance (<xref ref-type="bibr" rid="B21">Khardori and Castillo, 2012</xref>). In our analysis, we also noticed that certain proportion (50.7%) of patients had the problem of a higher glucose serum level without the present history of diabetes. The poorly regulated glucose metabolism in patients is often associated with increased levels of inflammatory markers (<xref ref-type="bibr" rid="B3">Chang and Yang, 2016</xref>). Compared with the non-hyperglycemia group, the hyperglycemia group had much intense inflammation (CRP 77.30 &#xb1; 100.20 vs. 96.12 &#xb1; 83.38&#xa0;mg/L) (<italic>p</italic> &#x3d; 0.016). Hyperglycemia influences a variety of host immune functions, such as chemotaxis, phagocytosis, and bactericidal activity of histiocytic cells (<xref ref-type="bibr" rid="B2">Akbar, 2001</xref>; <xref ref-type="bibr" rid="B9">Falguera et al., 2005</xref>; <xref ref-type="bibr" rid="B7">Eurich et al., 2010</xref>). A previous study already showed the mechanisms that glucose-induced alterations in endothelial cell function promote changes in the basement membrane structure and cause endothelial cell permeability; reactive oxygen species (ROS) have been suggested by others to be common mediators for hyperglycemic cell damage (<xref ref-type="bibr" rid="B40">Simon et al., 2000</xref>; <xref ref-type="bibr" rid="B34">Morss and Edelman, 2007</xref>). For CAP patients, high glucose serum levels lead to an increased length of hospital stay or higher mortality due to infections. Each 1mmol/L increase of glucose serum levels might result in the risk of in-hospital complications that increased to 3% (0.2&#x2013;6%) (<xref ref-type="bibr" rid="B32">McAlister et al., 2005</xref>; <xref ref-type="bibr" rid="B24">Kornum et al., 2007</xref>). Our study also suggested that compared with the non-hyperglycemia group, the 28-day mortality rate in the hyperglycemia group is high, and the duration of ICU stay is long. In distribution studies, the increased level of glycosylation of plasma proteins could reduce the binding of a number of drugs in the blood (<xref ref-type="bibr" rid="B12">Gwilt et al., 1991</xref>; <xref ref-type="bibr" rid="B31">Mashayekhi-Sardoo et al., 2019</xref>). Hyperglycemia may lead to a decrease in the effect of XueBiJing, so dosage adjustment is required. Our results demonstrated a significantly lower 28-day mortality rate for patients with FBG &#x3c;7&#xa0;mmol/L, while only a decreased trend was observed for patients with FBG &#x2265;7.0&#xa0;mmol/L by XueBiJing injection. Our data suggested that hyperglycemia might have an adverse impact on the efficacy of XueBiJing injection in the treatment of SCAP, indicating that SCAP patients with hyperglycemia might needed to be reconsidered the XueBiJing dose or treatment plan. Better blood glucose level management is strongly recommended.</p>
<sec id="s4-1">
<title>Limitations</title>
<p>The results of our study come with some limitations. Although our data come from a well-designed RCT, the analyses were planned post hoc, and the results cannot be considered confirmative. Second, the number of patients included in each group was relatively small and not suitable for multivariate or stratified analysis. A larger sample size would be necessary to validate our conclusions. Mortality is the most robust outcome of a noninferiority trial, but adding more outcomes will be more compelling.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In this <italic>post hoc</italic> analysis of a large randomized controlled trial, for overweight and hyperglycemia SCAP patients, in the non-overweight group (<italic>p</italic> &#x3d; 0.018) and non-hyperglycemia group (<italic>p</italic> &#x3d; 0.025), patients with XueBiJing injection had a significantly superior overall survival to those who were treated with placebo, and the addition of XueBiJing treatment only partially reduced the 28-day mortality but not significantly like the effect in non-overweight and non-hyperglycemia patients. Overweight and hyperglycemic SCAP patients therefore should be identified who are in need of the adjusted dose of XueBiJing injection and intensified care to reduce the risk of death.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This study was supported by the National Natural Science Foundation of China (project number 81970069), National Natural Science Foundation of China (project number 82170091), and Smart Healthcare Project of Zhongshan Hospital, Fudan University (project number 2020ZHZS18).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<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&#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>
<ack>
<p>The authors wish to gratefully acknowledge all of the study centers and study participants who have devoted their time and effort to this trial.</p>
</ack>
<sec id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2022.755536/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2022.755536/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<sec id="s12">
<title>Abbreviations</title>
<p>APCHE, acute physiology and chronic health evaluation; ARDS, acute respiratory distress syndrome; BMI, body mass index; CAP, community-acquired pneumonia; CRP, C-reactive protein; FBG, fasting blood glucose; ICU, intensive care unit; PSI, pneumonia severity index; RCT, randomized controlled trial; SCAP, severe community-acquired pneumonia; ROS, reactive oxygen species; SOFA, Sequential Organ Failure Assessment; TCM, traditional Chinese medicine.</p>
</sec>
<ref-list>
<title>References</title>
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