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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ETM</journal-id>
<journal-title-group>
<journal-title>Experimental and Therapeutic Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-0981</issn>
<issn pub-type="epub">1792-1015</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/etm.2019.7492</article-id>
<article-id pub-id-type="publisher-id">ETM-0-0-7492</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Application value of procalcitonin, C-reactive protein and interleukin-6 in the evaluation of traumatic shock</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Yang</given-names></name>
<xref rid="af1-etm-0-0-7492" ref-type="aff">1</xref>
<xref rid="c1-etm-0-0-7492" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Chen</surname><given-names>Ling</given-names></name>
<xref rid="af2-etm-0-0-7492" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Fang</surname><given-names>Wenge</given-names></name>
<xref rid="af2-etm-0-0-7492" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Chen</surname><given-names>Huihong</given-names></name>
<xref rid="af2-etm-0-0-7492" ref-type="aff">2</xref></contrib>
</contrib-group>
<aff id="af1-etm-0-0-7492"><label>1</label>Department of Emergency, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian 363000, P.R. China</aff>
<aff id="af2-etm-0-0-7492"><label>2</label>Department of Emergency, Zhangzhou Municipal Hospital of Fujian Province, Zhangzhou, Fujian 363000, P.R. China</aff>
<author-notes>
<corresp id="c1-etm-0-0-7492"><italic>Correspondence to</italic>: Dr Yang Li, Department of Emergency, Zhangzhou Affiliated Hospital of Fujian Medical University, 59 Shengli West Road, Zhangzhou, Fujian 363000, P.R. China, E-mail: <email>u5y9wn@163.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>06</month>
<year>2019</year></pub-date>
<pub-date pub-type="epub">
<day>16</day>
<month>04</month>
<year>2019</year></pub-date>
<volume>17</volume>
<issue>6</issue>
<fpage>4586</fpage>
<lpage>4592</lpage>
<history>
<date date-type="received"><day>26</day><month>11</month><year>2018</year></date>
<date date-type="accepted"><day>02</day><month>04</month><year>2019</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Li et al.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Procalcitonin (PCT), C-reactive protein (CRP) and interleukin-6 (IL-6) were detected to explore the value of these inflammatory markers in the assessment of traumatic shock patients. The clinical data of 80 patients with traumatic shock and infections in Zhangzhou Municipal Hospital of Fujian Province from January 2014 to December 2017 were collected as the experimental group. During the same period, 80 acute trauma patients who did not suffer from traumatic shock were regarded as the control group. According to the prognosis outcomes, the experimental group was divided into 56 patients with good prognosis and 24 patients with poor prognosis. Also the PCT, CRP and IL-6 levels in serum of patients at admission (T1), 12 h after admission (T2), three days after admission (T3) and on day 7 (T4) were detected. The differences between the three inflammatory indicators, the pre-admission injury severity score (ISS score), the acute physiology and chronic psychological score (APACHE II score) were compared between the good prognosis and the poor prognosis group. The serum CRP at the T4 time period was significantly lower than both the T1 and T2 time periods (P&#x003C;0.05). There were differences in serum PCT, CRP and IL-6 between the good prognosis and the poor prognosis group at the time of T1-T4 (P&#x003C;0.05). The expression levels of PCT, CRP and IL-6 in the serum of patients with poor prognosis were higher than those with good prognosis (P&#x003C;0.05). Pre-admission ISS scores and APACHE II scores in patients with good prognosis were lower than those with poor prognosis (P&#x003C;0.05). Detection of PCT, CRP and IL-6 expression levels in serum of the patients has an important reference value for assessing the condition of patients with traumatic shock.</p>
</abstract>
<kwd-group>
<kwd>procalcitonin</kwd>
<kwd>C-reactive protein</kwd>
<kwd>interleukin-6</kwd>
<kwd>traumatic shock</kwd>
<kwd>application value</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>The rhythm of life in modern society is constantly accelerating with endless social conflicts, fighting, traffic accidents, natural disasters and man-made disasters which have led to an increased number of trauma patients (<xref rid="b1-etm-0-0-7492" ref-type="bibr">1</xref>). Among them, the shock that is caused by violent trauma has become a critical clinical emergency (<xref rid="b2-etm-0-0-7492" ref-type="bibr">2</xref>). Compared with ordinary traumatic hemorrhage, traumatic shock is more complicated and has a more rapid disease progression (<xref rid="b3-etm-0-0-7492" ref-type="bibr">3</xref>). Accurately determining the severity of a patient&#x0027;s trauma at an early stage and prompt treatment of patients in a timely manner have become very important for the prognosis of patients.</p>
<p>Procalcitonin (PCT) is a protein that reflects the activity of the body&#x0027;s inflammatory response (<xref rid="b4-etm-0-0-7492" ref-type="bibr">4</xref>). High expression occurs in sepsis, shock, and multiple organ dysfunctions (<xref rid="b5-etm-0-0-7492" ref-type="bibr">5</xref>,<xref rid="b6-etm-0-0-7492" ref-type="bibr">6</xref>). C-reactive protein (CRP), an acute protein, is sensitive to tissue damage and microbial infections (<xref rid="b7-etm-0-0-7492" ref-type="bibr">7</xref>). Both are inflammatory indicators commonly used in the diagnosis and treatment of clinically acute diseases. Interleukin-6 (IL-6) is an inflammatory factor that can coordinate with the body&#x0027;s immune response after injury (<xref rid="b8-etm-0-0-7492" ref-type="bibr">8</xref>). Studies have shown that IL-6 can reflect the degree of tissue damage in the body to some extent (<xref rid="b9-etm-0-0-7492" ref-type="bibr">9</xref>). The current clinical diagnosis and treatment of patients with traumatic shock mainly depend on the monitoring of hemodynamic parameters, however, these judgments on the degree of traumatic shock in patients are still insufficient (<xref rid="b10-etm-0-0-7492" ref-type="bibr">10</xref>). Therefore, in this study we focused on the analysis of PCT, CRP and IL-6 expression levels in the serum of traumatic shock patients, and explored the value of the three in the assessment of the condition in traumatic shock patients.</p>
</sec>
<sec sec-type="subjects|methods">
<title>Patients and methods</title>
<sec>
<title/>
<sec>
<title>General information</title>
<p>A total of 80 cases of traumatic shock patients who were in the emergency surgery in Zhangzhou Municipal Hospital of Fujian Province (Zhangzhou, China) from January 2014 to December 2017 were retrospectively collected as the experimental group, including 42 males and 38 females, aged 51&#x2013;72 years, average age 52.78&#x00B1;4.67 years. Further 80 patients with general trauma who did not suffer from shock during the same period were selected as the control group, including 45 males and 35 females, aged 48&#x2013;73 years, average age 53.68&#x00B1;4.95 years. According to the prognosis outcome of the patients, the experimental components were divided into good prognosis and poor prognosis group. There were 56 cases in the good prognosis and 24 cases in the poor prognosis group.</p>
<p>Inclusion criteria were: i) All subjects were over 18 years old, have not been traumatized recently, and have not undergone surgery; ii) patients in the experimental group met the diagnostic criteria for traumatic shock (<xref rid="b11-etm-0-0-7492" ref-type="bibr">11</xref>); iii) patients in control group had no disturbance of consciousness and their hemodynamic parameters were normal, with no signs of shock; iv) patients in the good prognosis group showed a significant improvement in their disease condition after admission, and can be discharged within 30 days, no adverse events occurred such as death, multiple organ dysfunction syndrome; and v) adverse events such as death or multiple organ dysfunction syndrome occurred to patients in the poor prognosis group. Total treatment in the intensive care unit took more than 30 days.</p>
<p>Exclusion criteria were: i) Subjects with history of hypertension, chronic disease of diabetes or coagulopathy; ii) patients with heart and blood vessel diseases, hepatic and renal dysfunction and adverse reaction during transfusion; and iii) patients with incomplete medical data.</p>
<p>The study was approved by the Ethics Committee of Zhangzhou Municipal Hospital of Fujian Province. Patients who participated in this study had complete clinical data. Signed informed consents were obtained from the patients or the guardians.</p>
</sec>
<sec>
<title>Experimental reagents and instruments</title>
<p>Ultra-low temperature refrigerator (Premium U410; Suzhou Beirui Instrument Technology Co., Ltd., Suzhou, China); Human PCT ELISA kit (FK-pk0812; Shanghai Fanke Biotechnology Co., Ltd., Shanghai, China); IL-6 ELISA kit [JK-(a)-0023; Shanghai Jingkang Bioengineering Co., Ltd., Shanghai, China]; Automatic microplate reader (26262002; Beijing Anmaige Trading Co., Ltd., Beijing, China); High-speed refrigerated centrifuge [AVANTI J-15R; Beckman Coulter Trading (China) Co., Ltd., Shanghai, China]; Ultra-micro spectrophotometer (NP80-Touch; Guangzhou Haohan Instrument Co., Ltd., Guangzhou, China); CRP assay kit (XFSW245B; Shanghai Xinfan Biotechnology Co., Ltd., Shanghai, China); Micro-adjustable pipette (F144565; Shenzhen Kangchuyuan Co., Ltd., Shenzhen, China).</p>
</sec>
</sec>
<sec>
<title>Experimental methods</title>
<sec>
<title>Collection of blood samples</title>
<p>During the period of fasting, the patients&#x0027; elbow venous blood (2 ml) were collected with a disposable blood collection needle immediately after the admission (T1), and on the first (T2), third (T3), seventh (T4) day after admission. The blood was naturally coagulated for 10&#x2013;20 min at room temperature, then centrifuged at 3,000 &#x00D7; g for 20 min at 4&#x00B0;C. After the serum was naturally precipitated, the supernatant was carefully pipetted into another clean tube and the tube was place at &#x2212;80&#x00B0;C in a freezer for further testing.</p>
</sec>
<sec>
<title>Determination of PCT and IL-6 expression levels in serum by enzyme-linked immunosorbent assay (ELISA)</title>
<p>The expression levels of PCT and IL-6 in patients&#x0027; serum by ELISA were tested by double antibody sandwich assay. Standard, blank and sample wells were set on an enzyme plate. The standards were diluted to 1.0&#x2013;2.0 &#x00B5;g/ml with diluent, and each well was added with 50 &#x00B5;l dilution. Then 40 &#x00B5;l sample dilution was added to the sample wells of the enzyme plate, and 10 &#x00B5;l of samples was added for further testing. Avoiding touching the surrounding walls loading was done, and then gently shaken. Then the enzyme plate was sealed with a sealing membrane, and incubated at 37&#x00B0;C for 30 min. Next, the sealing membrane was uncovered and the liquid discarded in the well and each well was washed 5 times with the diluted washing solution. Except the blank wells, 50 &#x00B5;l of the enzyme standard reagent was added to each well, the plate was sealed with a sealing membrane, and incubated for 30 min, then the liquid was discarded in each well and washed 5 times. Then 50 &#x00B5;l of chromogenic reagent A and 50 &#x00B5;l of chromogenic reagent B was added to each well. After shaking, protected from light stained at a temperature of 37&#x00B0;C for 15 min. Finally, 50 &#x00B5;l of stop solution was added to each well, the blank well was zero in value, the OD value in each well was measured at a wavelength of 450 nm in 15 min.</p>
</sec>
<sec>
<title>Determination of CRP expression levels in patient serum by immunoturbidimetry</title>
<p>A sample of 100 &#x00B5;l was mixed with reagent (R1-3), adding R4, and centrifuged at 3,000 &#x00D7; g for 10 min at 4&#x00B0;C, then the supernatant was pipetted into another tube, adding chromogenic reagent, and R6, then left at room temperature for 2 min. After 5 min the OD value was measured at a wavelength of 636 nm.</p>
</sec>
<sec>
<title>Observation of indices</title>
<p>The expression levels of PCT, CRP and IL-6 in the serum in the control group with the good and the poor prognosis were recorded at the T1-T4 time periods. Also the injury severity score (ISS) (<xref rid="b12-etm-0-0-7492" ref-type="bibr">12</xref>) between the good and the poor prognosis before admission, and the score of acute pathologic and chronic health evaluation (APACHE II) during the period of T1-T4 were recorded (<xref rid="b13-etm-0-0-7492" ref-type="bibr">13</xref>).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>The experimental data were statistically analyzed by SPSS 19.0 statistical software (SPSS, Inc., Chicago, IL, USA), the data counting was expressed as percentages (&#x0025;), the Chi-square test was used for comparison between groups, measurement data was expressed by mean &#x00B1; standard deviation, the t-test was used for comparison between groups, repeated measures analysis of variance was used for comparison of multiple time points between groups with Dunnett&#x0027;s test. One-way ANOVA was used for comparison between groups. P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Comparison of general information</title>
<p>As shown in <xref rid="tI-etm-0-0-7492" ref-type="table">Table I</xref>, 48 cases of trauma in the experimental group were caused by traffic accidents, 19 cases were caused by fall injury, 10 cases were caused by sharp injury and 3 cases were caused by other factors. Trauma time (30 sec-1.2 h), average 1.17&#x00B1;0.16 h. In the control group, there were 46 cases of traffic accidents, 18 cases of fall injuries, 9 cases of sharp injuries and 7 cases of others. Trauma time (50 sec-1.3 h), average 1.12&#x00B1;0.21 h. There were no differences in age, body mass index, sex, cause of injury and time of trauma between the experimental and the control group (P&#x003E;0.05).</p>
</sec>
<sec>
<title>Comparison of PCT in serum among the experimental, the good and poor prognosis group</title>
<p>There was no significant difference in serum PCT in the control group at the period of T1-T4 (P&#x003E;0.05). There was a difference in serum PCT between the good prognosis and the poor prognosis group at the period of T1-T4 (P&#x003C;0.05). Serum PCT levels of T2, T3 were significantly increased compared with the period of T1 in the poor prognosis group (P&#x003C;0.05). Compared with the period of T2, T3 was significantly increased in good prognosis group, and the period of T4 was significantly decreased in poor prognosis group (P&#x003C;0.05). Compared with the period of T3, T4 was significantly decreased in good prognosis group (P&#x003C;0.05). At the same time point, both good prognosis and poor prognosis groups were higher than the control group. The poor prognosis group was higher than the good prognosis group (P&#x003C;0.05; <xref rid="tII-etm-0-0-7492" ref-type="table">Table II</xref> and <xref rid="f1-etm-0-0-7492" ref-type="fig">Fig. 1</xref>).</p>
</sec>
<sec>
<title>Comparison of serum CRP among the experimental, the good prognosis and poor prognosis groups</title>
<p>There was no significant difference in serum CRT in the control group at the period of T1-T4 (P&#x003E;0.05). There was a difference in serum CRP between the good prognosis and the poor prognosis groups at the period of T1-T4 (P&#x003C;0.05). Compared with T1, T3 was significantly increased in the poor prognosis group (P&#x003C;0.05). The poor prognosis has significantly decreased at T2-T4 time periods (P&#x003C;0.05). Compared with the period of T2, T4 was significantly decreased in the good prognosis group, and the period of T3 was significantly increased in the poor prognosis group (P&#x003C;0.05). Compared with the period of T3, T4 was significantly decreased in both good prognosis and poor prognosis groups (P&#x003C;0.05). At the same time point, both the good prognosis and the poor prognosis groups were higher than the control group. Serum CRP in the poor prognosis group was higher than the good prognosis group at T2-T4 (P&#x003C;0.05; <xref rid="tIII-etm-0-0-7492" ref-type="table">Table III</xref> and <xref rid="f2-etm-0-0-7492" ref-type="fig">Fig. 2</xref>).</p>
</sec>
<sec>
<title>Comparison of serum IL-6 among the experimental group with the good prognosis and poor prognosis group</title>
<p>There was no significant difference in serum IL-6 between the control group at T1-T4 time period (P&#x003E;0.05). There was a difference in serum IL-6 between the good prognosis and the poor prognosis groups at the time of T1-T4 (P&#x003C;0.05). Compared with the period of T1, T2 in good prognosis group and T3 in poor prognosis group increased significantly (P&#x003C;0.05). Both good and poor prognosis groups were decreased significantly at the T4 time period (P&#x003C;0.05). Compared with the the period of T2, T4 was significantly decreased in good prognosis group (P&#x003C;0.05). Compared with the period of T3, T4 was significantly decreased in both good and poor prognosis groups (P&#x003C;0.05). At the same time point, both good and poor prognosis groups were higher than the control group. Also poor prognosis group was higher than good prognosis group (P&#x003C;0.05; <xref rid="tIV-etm-0-0-7492" ref-type="table">Table IV</xref> and <xref rid="f3-etm-0-0-7492" ref-type="fig">Fig. 3</xref>).</p>
</sec>
<sec>
<title>Comparison of ISS score and APACHE II score of patients in the good prognosis and the poor prognosis groups</title>
<p>As shown in <xref rid="tV-etm-0-0-7492" ref-type="table">Table V</xref>, there were differences in pre-admission ISS scores and APACHE II scores between the good prognosis and the poor prognosis groups. The pre-admission ISS score and APACHE II score in the good prognosis group were lower than in the poor prognosis group (P&#x003C;0.05).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Traumatic shock is a common emergency with rapid progression, the effective circulation of blood will decrease sharply after the body suffers from violence, this can lead to a syndrome of hypoperfusion of the microcirculation (<xref rid="b14-etm-0-0-7492" ref-type="bibr">14</xref>). During the progress of trauma treatment, if not treated in a timely manner, can lead to systemic inflammatory response syndrome or multiple organ dysfunction syndrome, which further cause the failure of multiple organs or systems, and patients can die within 10 min (<xref rid="b15-etm-0-0-7492" ref-type="bibr">15</xref>).</p>
<p>There is a clear standard for clinical diagnosis of whether a patient suffer from shock or not (<xref rid="b16-etm-0-0-7492" ref-type="bibr">16</xref>), however, there is still no clear indicator for the judgment of the shock severity in patients, only relying on physical examination and changes in hemodynamic parameters (<xref rid="b17-etm-0-0-7492" ref-type="bibr">17</xref>). Timely assessment of the patient&#x0027;s inflammatory response and infection status is important for the survival of traumatic shock patients (<xref rid="b18-etm-0-0-7492" ref-type="bibr">18</xref>), currently, PCT, CRP and IL-6 are widely used acute wound proteins and cellular immune factors with high sensitivity in the body&#x0027;s inflammatory response (<xref rid="b19-etm-0-0-7492" ref-type="bibr">19</xref>). However, there is scarce research on the application value of PCT, CRP and IL-6 in assessing the condition of patients with traumatic shock, therefore, this topic is focused on in our present study.</p>
<p>The results of this study have shown that the changes of PCT and IL-6 in serum at the time period of T1-T4 were not significant in the control group. The serum CRP at the T4 time period was lower than the T1 and T2 time periods. There were significant differences in serum PCT, CRP and IL-6 between the good prognosis and the poor prognosis groups during the T1-T4 time period. At the same time points, both the good prognosis and the poor prognosis groups were higher than the control group and the poor prognosis group was higher than the good prognosis group. Also the pre-admission ISS score and APACHE II score of patients in the good prognosis group were lower than in the poor prognosis group. In the early stages of trauma, the PCT, CRP and IL-6 in the serum of traumatic shock patients were higher than ordinary trauma patients, also the higher the expression levels of PCT, CRP and IL-6, the worse the prognosis condition. Moreover, CRP has been showing a downward trend in patients with good prognosis. PCT and IL-6 have a short-term rise in the treatment process, and decline subsequently. PCT, CRP, and IL-6 in patients with poor prognosis show an upward trend at the early stage. After maintaining at a higher level, the expression level decreases subsequently.</p>
<p>PCT is a protein secreted by macrophages in the liver after severe infection and major trauma (<xref rid="b20-etm-0-0-7492" ref-type="bibr">20</xref>), some documents have shown that high expression of PCT in serum is closely related to the occurrence of shock disease (<xref rid="b21-etm-0-0-7492" ref-type="bibr">21</xref>), monitoring of PCT in patient serum can even predict adverse complications in trauma patients (<xref rid="b22-etm-0-0-7492" ref-type="bibr">22</xref>). CRP is also a non-specific acute protein synthesized in the liver (<xref rid="b23-etm-0-0-7492" ref-type="bibr">23</xref>). It is often difficult to detect in serum of ordinary humans, but occurs when the body has an inflammatory reaction (<xref rid="b24-etm-0-0-7492" ref-type="bibr">24</xref>), it can extremely sensitively reflect the damage of the body tissues and the severity of the infection (<xref rid="b25-etm-0-0-7492" ref-type="bibr">25</xref>). However, IL-6 can induce acute protein responses and mediate body damage in a variety of infectious or acute diseases (<xref rid="b26-etm-0-0-7492" ref-type="bibr">26</xref>). Some researchers have shown that IL-6 can directly reflect the degree of damage to the body and determine the prognosis of patients (<xref rid="b27-etm-0-0-7492" ref-type="bibr">27</xref>). Therefore, it is speculated that the high level of serum PCT, CRP and IL-6 in traumatic shock patients may indicate a worse prognosis. This may reflect the activity of inflammation in the body, suggested that there may be an occurrence of systemic inflammatory response syndrome or multiple organ dysfunction syndrome. Increased expression of PCT, CRP, and IL-6 in the serum of patients during the treatment progress indicates that patients may require higher intensity clinical interventions, and require to be highly valued by clinicians.</p>
<p>Due to the limitations of experimental conditions and experimental time of this study, there are still some shortcomings in the experimental design. The sample size of the experiment was not large enough. The molecular mechanism for the specific changes of PCT, CRP and IL-6 expression levels in patients&#x0027; serum is still unclear. So animal models need to be constructed for further exploration.</p>
<p>Overall, the higher the expression levels of PCT, CRP and IL-6 in serum of traumatic shock patients, the worse prognosis it may indicate. It has an important reference value for the assessment of traumatic shock patients.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>No funding was received.</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>YL wrote the manuscript. YL and LC analyzed and interpreted the patient data. WF collected blood samples. HC and YL performed ELISA. All authors read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The study was approved by the Ethics Committee of Zhangzhou Municipal Hospital of Fujian Province (Zhangzhou, China). Patients who participated in this study had complete clinical data. Signed informed consents were obtained from the patients or the guardians.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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</back>
<floats-group>
<fig id="f1-etm-0-0-7492" position="float">
<label>Figure 1.</label>
<caption><p>Comparison of PCT in serum among the experimental group with good prognosis and poor prognosis groups. There was no significant difference in serum PCT in the control group at T1-T4 time period (P&#x003E;0.05). There was a difference in serum PCT between good prognosis and poor prognosis group at T1-T4 (&#x002A;P&#x003C;0.05). At the same time point, PCT values for both good prognosis and poor prognosis groups were higher than the PCT values of control group (<sup>#</sup>P&#x003C;0.05). The PCT values of poor prognosis group were higher than the PCT values of good prognosis group (&#x002A;P&#x003C;0.05). Within the same group: <sup>a</sup>P&#x003C;0.05, compared with T1; <sup>b</sup>P&#x003C;0.05, compared with T2; <sup>c</sup>P&#x003C;0.05, compared with T3. PCT, procalcitonin.</p></caption>
<graphic xlink:href="etm-17-06-4586-g00.tif"/>
</fig>
<fig id="f2-etm-0-0-7492" position="float">
<label>Figure 2.</label>
<caption><p>Comparison of serum CRP among the experimental group with good prognosis and poor prognosis groups. There was no significant difference in serum CRT in the control group at the period of T1-T4 (P&#x003E;0.05). There was a difference in serum CRP between good prognosis and poor prognosis group at T1-T4 (&#x002A;P&#x003C;0.05). At the same time point, CRP values for both good prognosis and poor prognosis groups were higher than the CRP values of control group (<sup>#</sup>P&#x003C;0.05). The CRP values of poor prognosis group were higher than the CRP values of good prognosis group (&#x002A;P&#x003C;0.05). Within the same group: <sup>a</sup>P&#x003C;0.05, compared with T1; <sup>b</sup>P&#x003C;0.05, compared with T2; <sup>c</sup>P&#x003C;0.05 compared with T3. CRP, C-reactive-protein.</p></caption>
<graphic xlink:href="etm-17-06-4586-g01.tif"/>
</fig>
<fig id="f3-etm-0-0-7492" position="float">
<label>Figure 3.</label>
<caption><p>Comparison of serum IL-6 levels among the experimental group with good prognosis and poor prognosis groups. There was no significant difference in serum IL-6 between the control group at the T1-T4 time period (P&#x003E;0.05). There was a difference in serum IL-6 between the good prognosis and the poor prognosis group at the time of T1-T4 (&#x002A;P&#x003C;0.05). At the same time point, IL-6 values for both good prognosis and poor prognosis groups were higher than IL-6 values of control group (<sup>#</sup>P&#x003C;0.05). IL-6 values of poor prognosis group were higher than IL-6 values of good prognosis group (&#x002A;P&#x003C;0.05). Within the same group: <sup>a</sup>P&#x003C;0.05, compared with T1; <sup>b</sup>P&#x003C;0.05, compared with T2; <sup>c</sup>P&#x003C;0.05, compared with T3. IL-6, interleukin-6.</p></caption>
<graphic xlink:href="etm-17-06-4586-g02.tif"/>
</fig>
<table-wrap id="tI-etm-0-0-7492" position="float">
<label>Table I.</label>
<caption><p>Comparison of general clinical basic information [n (&#x0025;)](mean &#x00B1; standard deviation).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Clinical factors</th>
<th align="center" valign="bottom">Experiment group (n=80)</th>
<th align="center" valign="bottom">Control group (n=80)</th>
<th align="center" valign="bottom">t/&#x03C7;<sup>2</sup></th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">52.78&#x00B1;4.67</td>
<td align="center" valign="top">53.68&#x00B1;4.95</td>
<td align="center" valign="top">1.183</td>
<td align="center" valign="top">0.239</td>
</tr>
<tr>
<td align="left" valign="top">BMI (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">23.67&#x00B1;2.82</td>
<td align="center" valign="top">23.79&#x00B1;2.53</td>
<td align="center" valign="top">0.283</td>
<td align="center" valign="top">0.777</td>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td align="center" valign="top">0.227</td>
<td align="center" valign="top">0.634</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">45</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">35</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Causes of injury</td>
<td/>
<td/>
<td align="center" valign="top">1.722</td>
<td align="center" valign="top">0.632</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Traffic accident</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">46</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Fall injury</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">18</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Sharp injury</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Others</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">7</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Blood sugar (mmol/l)</td>
<td/>
<td/>
<td align="center" valign="top">0.526</td>
<td align="center" valign="top">0.468</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;6.11</td>
<td align="center" valign="top">75</td>
<td align="center" valign="top">77</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;6.11</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">3</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Triglyceride (mmol/l)</td>
<td/>
<td/>
<td align="center" valign="top">0.278</td>
<td align="center" valign="top">0.598</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;1.70</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">71</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;1.70</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Trauma time (h)</td>
<td align="center" valign="top">1.17&#x00B1;0.16</td>
<td align="center" valign="top">1.12&#x00B1;0.21</td>
<td align="center" valign="top">1.694</td>
<td align="center" valign="top">0.092</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-etm-0-0-7492"><p>Blood glucose and triglycerides were measured at the time of admission.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-etm-0-0-7492" position="float">
<label>Table II.</label>
<caption><p>Comparison of PCT in serum.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">T1</th>
<th align="center" valign="bottom">T2</th>
<th align="center" valign="bottom">T3</th>
<th align="center" valign="bottom">T4</th>
<th align="center" valign="bottom">F</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Control group (n=80)</td>
<td align="center" valign="top">0.52&#x00B1;0.06</td>
<td align="center" valign="top">0.55&#x00B1;0.12</td>
<td align="center" valign="top">0.53&#x00B1;0.08</td>
<td align="center" valign="top">0.54&#x00B1;0.11</td>
<td align="center" valign="top">1.461</td>
<td align="center" valign="top">0.225</td>
</tr>
<tr>
<td align="left" valign="top">Good prognosis group (n=56)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3.79&#x00B1;1.83<sup><xref rid="tfn6-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">&#x00A0;&#x00A0;4.21&#x00B1;2.36<sup><xref rid="tfn6-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">9.14&#x00B1;3.74<sup><xref rid="tfn3-etm-0-0-7492" ref-type="table-fn">a</xref>,<xref rid="tfn4-etm-0-0-7492" ref-type="table-fn">b</xref>,<xref rid="tfn6-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">&#x00A0;&#x00A0;4.83&#x00B1;1.24<sup><xref rid="tfn5-etm-0-0-7492" ref-type="table-fn">c</xref>,<xref rid="tfn6-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">55.86</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Poor prognosis group (n=24)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7.93&#x00B1;2.49<sup><xref rid="tfn6-etm-0-0-7492" ref-type="table-fn">d</xref>,<xref rid="tfn7-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">&#x00A0;&#x00A0;14.38&#x00B1;3.58<sup><xref rid="tfn3-etm-0-0-7492" ref-type="table-fn">a</xref>,<xref rid="tfn6-etm-0-0-7492" ref-type="table-fn">d</xref>,<xref rid="tfn7-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">&#x00A0;&#x00A0;11.68&#x00B1;5.26<sup><xref rid="tfn3-etm-0-0-7492" ref-type="table-fn">a</xref>,<xref rid="tfn6-etm-0-0-7492" ref-type="table-fn">d</xref>,<xref rid="tfn7-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">&#x00A0;&#x00A0;9.46&#x00B1;3.73<sup><xref rid="tfn4-etm-0-0-7492" ref-type="table-fn">b</xref>,<xref rid="tfn6-etm-0-0-7492" ref-type="table-fn">d</xref>,<xref rid="tfn7-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">12.250</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">F</td>
<td align="center" valign="top">264.600</td>
<td align="center" valign="top">461.300</td>
<td align="center" valign="top">198.700</td>
<td align="center" valign="top">215.400</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">P-value</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-etm-0-0-7492"><p>Within the same group:</p></fn>
<fn id="tfn3-etm-0-0-7492"><label>a</label><p>P&#x003C;0.05, compared with T1</p></fn>
<fn id="tfn4-etm-0-0-7492"><label>b</label><p>P&#x003C;0.05, compared with T2</p></fn>
<fn id="tfn5-etm-0-0-7492"><label>c</label><p>P&#x003C;0.05, compared with T3. At the same time point:</p></fn>
<fn id="tfn6-etm-0-0-7492"><label>d</label><p>P&#x003C;0.05, compared with the control group</p></fn>
<fn id="tfn7-etm-0-0-7492"><label>e</label><p>P&#x003C;0.05, compared with the good prognosis group. PCT, procalcitonin.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-etm-0-0-7492" position="float">
<label>Table III.</label>
<caption><p>Comparison of CRP in serum.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">T1</th>
<th align="center" valign="bottom">T2</th>
<th align="center" valign="bottom">T3</th>
<th align="center" valign="bottom">T4</th>
<th align="center" valign="bottom">F</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Control group (n=80)</td>
<td align="center" valign="top">12.88&#x00B1;1.41</td>
<td align="center" valign="top">12.78&#x00B1;1.23</td>
<td align="center" valign="top">12.47&#x00B1;1.13</td>
<td align="center" valign="top">&#x00A0;&#x00A0;12.13&#x00B1;1.12<sup><xref rid="tfn9-etm-0-0-7492" ref-type="table-fn">a</xref>,<xref rid="tfn10-etm-0-0-7492" ref-type="table-fn">b</xref></sup></td>
<td align="center" valign="top">&#x00A0;&#x00A0;6.078</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Good prognosis group (n=56)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;126.37&#x00B1;31.73<sup><xref rid="tfn12-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">110.42&#x00B1;30.24<sup><xref rid="tfn9-etm-0-0-7492" ref-type="table-fn">a</xref>,<xref rid="tfn12-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">98.45&#x00B1;28.63<sup><xref rid="tfn9-etm-0-0-7492" ref-type="table-fn">a</xref>,<xref rid="tfn12-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">&#x00A0;&#x00A0;83.34&#x00B1;24.82<sup><xref rid="tfn9-etm-0-0-7492" ref-type="table-fn">a</xref>&#x2013;<xref rid="tfn12-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">24.190</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Poor prognosis group (n=24)</td>
<td align="center" valign="top">131.68&#x00B1;29.37<sup><xref rid="tfn12-etm-0-0-7492" ref-type="table-fn">d</xref>,<xref rid="tfn13-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">142.58&#x00B1;35.41<sup><xref rid="tfn12-etm-0-0-7492" ref-type="table-fn">d</xref>,<xref rid="tfn13-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">173.60&#x00B1;36.19<sup><xref rid="tfn9-etm-0-0-7492" ref-type="table-fn">a</xref>,<xref rid="tfn10-etm-0-0-7492" ref-type="table-fn">b</xref>,<xref rid="tfn12-etm-0-0-7492" ref-type="table-fn">d</xref>,<xref rid="tfn13-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">128.32&#x00B1;31.23<sup><xref rid="tfn11-etm-0-0-7492" ref-type="table-fn">c</xref>&#x2013;<xref rid="tfn13-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">&#x00A0;&#x00A0;9.275</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">F</td>
<td align="center" valign="top">565.500</td>
<td align="center" valign="top">473.300</td>
<td align="center" valign="top">590.000</td>
<td align="center" valign="top">446.700</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">P-value</td>
<td align="center" valign="top">&#x00A0;&#x00A0;&#x003C;0.001</td>
<td align="center" valign="top">&#x00A0;&#x00A0;&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn8-etm-0-0-7492"><p>Within the same group:</p></fn>
<fn id="tfn9-etm-0-0-7492"><label>a</label><p>P&#x003C;0.05, compared with T1</p></fn>
<fn id="tfn10-etm-0-0-7492"><label>b</label><p>P&#x003C;0.05, compared with T2</p></fn>
<fn id="tfn11-etm-0-0-7492"><label>c</label><p>P&#x003C;0.05, compared with T3. At the same time point</p></fn>
<fn id="tfn12-etm-0-0-7492"><label>d</label><p>P&#x003C;0.05, compared with the control group</p></fn>
<fn id="tfn13-etm-0-0-7492"><label>e</label><p>P&#x003C;0.05 compared with good prognosis group. CRP, C-reactive protein.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-etm-0-0-7492" position="float">
<label>Table IV.</label>
<caption><p>Comparison of IL-6 in serum.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">T1</th>
<th align="center" valign="bottom">T2</th>
<th align="center" valign="bottom">T3</th>
<th align="center" valign="bottom">T4</th>
<th align="center" valign="bottom">F</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Control group (n=80)</td>
<td align="center" valign="top">18.38&#x00B1;3.25</td>
<td align="center" valign="top">18.49&#x00B1;3.16</td>
<td align="center" valign="top">18.21&#x00B1;3.21</td>
<td align="center" valign="top">18.13&#x00B1;3.22</td>
<td align="center" valign="top">0.206</td>
<td align="center" valign="top">0.892</td>
</tr>
<tr>
<td align="left" valign="top">Good prognosis group (n=56)</td>
<td align="center" valign="top">89.30&#x00B1;17.91<sup><xref rid="tfn18-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">108.46&#x00B1;12.43<sup><xref rid="tfn15-etm-0-0-7492" ref-type="table-fn">a</xref>,<xref rid="tfn18-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">91.35&#x00B1;10.62<sup><xref rid="tfn16-etm-0-0-7492" ref-type="table-fn">b</xref>,<xref rid="tfn18-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">71.25&#x00B1;6.21<sup><xref rid="tfn15-etm-0-0-7492" ref-type="table-fn">a</xref>&#x2013;<xref rid="tfn18-etm-0-0-7492" ref-type="table-fn">d</xref></sup></td>
<td align="center" valign="top">82.770</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Poor prognosis group (n=24)</td>
<td align="center" valign="top">101.38&#x00B1;21.64<sup><xref rid="tfn18-etm-0-0-7492" ref-type="table-fn">d</xref>,<xref rid="tfn19-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">131.48&#x00B1;31.56<sup><xref rid="tfn18-etm-0-0-7492" ref-type="table-fn">d</xref>,<xref rid="tfn19-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">148.44&#x00B1;38.12<sup><xref rid="tfn15-etm-0-0-7492" ref-type="table-fn">a</xref>,<xref rid="tfn18-etm-0-0-7492" ref-type="table-fn">d</xref>,<xref rid="tfn19-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">124.76&#x00B1;28.52<sup><xref rid="tfn15-etm-0-0-7492" ref-type="table-fn">a</xref>,<xref rid="tfn17-etm-0-0-7492" ref-type="table-fn">c</xref>&#x2013;<xref rid="tfn19-etm-0-0-7492" ref-type="table-fn">e</xref></sup></td>
<td align="center" valign="top">9.780</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">F</td>
<td align="center" valign="top">603.200</td>
<td align="center" valign="top">937.00</td>
<td align="center" valign="top">739.000</td>
<td align="center" valign="top">868.500</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">P-value</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn14-etm-0-0-7492"><p>Within the same group:</p></fn>
<fn id="tfn15-etm-0-0-7492"><label>a</label><p>P&#x003C;0.05, compared with T1</p></fn>
<fn id="tfn16-etm-0-0-7492"><label>b</label><p>P&#x003C;0.06, compared with T2</p></fn>
<fn id="tfn17-etm-0-0-7492"><label>c</label><p>P&#x003C;0.05, compared with T3. At the same time point:</p></fn>
<fn id="tfn18-etm-0-0-7492"><label>d</label><p>P&#x003C;0.06, compared with the control group</p></fn>
<fn id="tfn19-etm-0-0-7492"><label>e</label><p>P&#x003C;0.05, compared with the good prognosis group. IL, interleukin.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tV-etm-0-0-7492" position="float">
<label>Table V.</label>
<caption><p>Comparison of ISS score and APACHE II score.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">Good prognosis group (n=56)</th>
<th align="center" valign="bottom">Poor prognosis group (n=24)</th>
<th align="center" valign="bottom">t</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Pre-admission ISS scores</td>
<td align="center" valign="top">15.82&#x00B1;4.24</td>
<td align="center" valign="top">30.23&#x00B1;7.38</td>
<td align="center" valign="top">11.020</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">APACHE II scores</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T1</td>
<td align="center" valign="top">18.38&#x00B1;5.21</td>
<td align="center" valign="top">24.45&#x00B1;8.29</td>
<td align="center" valign="top">3.963</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T2</td>
<td align="center" valign="top">16.24&#x00B1;4.63</td>
<td align="center" valign="top">26.36&#x00B1;5.52</td>
<td align="center" valign="top">5.657</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T3</td>
<td align="center" valign="top">15.37&#x00B1;3.94</td>
<td align="center" valign="top">29.74&#x00B1;5.83</td>
<td align="center" valign="top">12.860</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T4</td>
<td align="center" valign="top">13.45&#x00B1;3.21</td>
<td align="center" valign="top">31.39&#x00B1;6.38</td>
<td align="center" valign="top">16.750</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</article>
