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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">BR</journal-id>
<journal-title-group>
<journal-title>Biomedical Reports</journal-title>
</journal-title-group>
<issn pub-type="ppub">2049-9434</issn>
<issn pub-type="epub">2049-9442</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">BR-20-5-01765</article-id>
<article-id pub-id-type="doi">10.3892/br.2024.1765</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Diagnostic value of laboratory parameters for complicated appendicitis: A two‑center study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Qian</given-names></name>
<xref rid="af1-BR-20-5-01765" ref-type="aff">1</xref>
<xref rid="fn1-BR-20-5-01765" ref-type="author-notes">&#x002A;</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhao</surname><given-names>Hongwei</given-names></name>
<xref rid="af1-BR-20-5-01765" ref-type="aff">1</xref>
<xref rid="fn1-BR-20-5-01765" ref-type="author-notes">&#x002A;</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Fangli</given-names></name>
<xref rid="af2-BR-20-5-01765" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname><given-names>Wenqiang</given-names></name>
<xref rid="af2-BR-20-5-01765" ref-type="aff">2</xref>
<xref rid="c1-BR-20-5-01765" ref-type="corresp"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Peng</given-names></name>
<xref rid="af1-BR-20-5-01765" ref-type="aff">1</xref>
</contrib>
</contrib-group>
<aff id="af1-BR-20-5-01765"><label>1</label>Department of Gastrointestinal Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, P.R. China</aff>
<aff id="af2-BR-20-5-01765"><label>2</label>Department of General Surgery, Aerospace Center Hospital, School of Clinical Medicine, Peking University, Beijing 100039, P.R. China</aff>
<author-notes>
<corresp id="c1-BR-20-5-01765"><italic>Correspondence to:</italic> Dr Wenqiang Li, Department of General Surgery, Beijing Aerospace General Hospital, School of Clinical Medicine, Peking University, 15 Yuquan Road, Haidian, Beijing 100039, P.R. China <email>13911025919@139.com wangling2016uw@126.com </email></corresp>
<fn id="fn1-BR-20-5-01765"><p><sup>&#x002A;</sup>Contributed equally</p></fn>
</author-notes>
<pub-date pub-type="collection">
<month>05</month>
<year>2024</year></pub-date>
<pub-date pub-type="epub">
<day>15</day>
<month>03</month>
<year>2024</year></pub-date>
<volume>20</volume>
<issue>5</issue>
<elocation-id>77</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>10</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>02</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; 2024 Zhang et al.</copyright-statement>
<copyright-year>2024</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>There are two types of treatment for acute appendicitis (AA): surgery and antibiotic therapy. Some patients with complex appendicitis are treated with surgery; however, for uncomplex appendicitis, most could be treated effectively with antibiotics instead. How to distinguish complex appendicitis from uncomplex appendicitis before surgery is currently unknown. The present study aimed to assess the efficacy of the laboratory parameters to diagnose complicated appendicitis. Data from 1,514 cases with acute appendicitis who were admitted to Beijing Tsinghua Changgung Hospital and Beijing Aerospace General Hospital (both Beijing, China) from January 2016 to September 2021 were retrospectively analyzed. All cases were divided into uncomplicated and complicated appendicitis. Independent variables were analyzed by uni- and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curve analysis was used to identify significant parameters in the multivariate logistic regression analysis. Cut-off values, sensitivity, specificity and accuracy with area under the curve (AUC)&#x003E;0.600 were considered significant parameters. Significant differences were found in age (P&#x003C;0.001), body temperature (P&#x003C;0.001), white blood cell (WBC) count (P&#x003C;0.001), C-reactive protein (CRP; P&#x003C;0.001), neutrophil count (P&#x003C;0.001), neutrophil-to-lymphocyte ratio (NLR, P=0.019), platelet-to-lymphocyte ratio (PLR, P&#x003C;0.001), platelet count (P&#x003C;0.001), coefficient of variation (CV) and standard deviation (SD) of red blood cell distribution width (RDW); both P&#x003C;0.001), mean platelet volume (MPV, P&#x003C;0.001) and total (P&#x003C;0.001) and direct bilirubin (P&#x003C;0.001) between the two groups. CRP, neutrophil count, NLR, PLR, platelet count, RDW-CV, RDW-SD, MPV and direct bilirubin levels were found as the independent variables to diagnose complicated appendicitis. In patients with acute appendicitis, CRP &#x003E;22.95 mg/l, NLR &#x003E;5.7, serum direct bilirubin &#x003E;6.1 mmol/l and RDW-SD&#x003E;17.7 fl were significantly associated with complicated appendicitis.</p>
</abstract>
<kwd-group>
<kwd>complicated appendicitis</kwd>
<kwd>bilirubin</kwd>
<kwd>mean platelet volume</kwd>
<kwd>neutrophil-to-lymphocyte ratio</kwd>
<kwd>platelet count</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> No funding was received.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Acute appendicitis is a frequently encountered acute abdominal condition, with a morbidity rate of 1.5-1.9 per 10 million (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>,<xref rid="b2-BR-20-5-01765" ref-type="bibr">2</xref>). Its incidence is 1.4 times higher in men compared with that in women (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>). Lifetime risk of experiencing acute appendicitis is 7-8&#x0025; (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>). Elderly patients have higher incidence of complicated appendicitis, reported rates of perforation and morbidity were as high as 70 and 48&#x0025;, respectively (<xref rid="b3-BR-20-5-01765" ref-type="bibr">3</xref>). Notably, 17-30&#x0025; of patients with acute appendicitis may exhibit appendiceal perforation; this occurrence is notably more prevalent in the elderly (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>,<xref rid="b2-BR-20-5-01765" ref-type="bibr">2</xref>). Appendicitis is divided into uncomplicated and complicated appendicitis according to its pathology (<xref rid="b4-BR-20-5-01765" ref-type="bibr">4</xref>). Uncomplicated appendicitis has a mild infection and fewer complications and can be treated with antibiotics (<xref rid="b5-BR-20-5-01765" ref-type="bibr">5</xref>). On the other hand, surgery is the primary treatment for complicated appendicitis (<xref rid="b5-BR-20-5-01765" ref-type="bibr">5</xref>). Early diagnosis and management are crucial to decrease incidence of complications and the length of hospitalization (<xref rid="b4-BR-20-5-01765" ref-type="bibr">4</xref>,<xref rid="b5-BR-20-5-01765" ref-type="bibr">5</xref>).</p>
<p>Several diagnostic modalities are available for appendicitis, such as laboratory inflammatory markers, scoring systems and imaging methods (<xref rid="b6-BR-20-5-01765" ref-type="bibr">6</xref>,<xref rid="b7-BR-20-5-01765" ref-type="bibr">7</xref>). Only 60&#x0025; of patients present with typical symptoms, including shifting right lower abdominal pain, fever, nausea, and vomiting (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>,<xref rid="b2-BR-20-5-01765" ref-type="bibr">2</xref>,<xref rid="b8-BR-20-5-01765" ref-type="bibr">8</xref>). The frequently measured laboratory parameters are C-reactive protein (CRP), white blood cell (WBC) count and neutrophil percentage. However, these tests can only evaluate the presence of abdominal infection and severity (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>,<xref rid="b7-BR-20-5-01765" ref-type="bibr">7</xref>,<xref rid="b9-BR-20-5-01765" ref-type="bibr">9</xref>,<xref rid="b10-BR-20-5-01765" ref-type="bibr">10</xref>). Abdominal ultrasound and computed tomography (CT) scan are used in the diagnosis of appendicitis. Sensitivity and specificity of ultrasound are 86 and 81&#x0025;, respectively, due to the influence of the intestinal gas (<xref rid="b4-BR-20-5-01765" ref-type="bibr">4</xref>,<xref rid="b11-BR-20-5-01765" ref-type="bibr">11</xref>). Although non-contrast-enhanced CT has better sensitivity and specificity (92.3&#x0025;) than ultrasound (81&#x0025;) (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>,<xref rid="b12-BR-20-5-01765" ref-type="bibr">12</xref>,<xref rid="b13-BR-20-5-01765" ref-type="bibr">13</xref>), the high cost and the risk of radiation may limit its broad application. Therefore, evaluation of acute appendicitis based on laboratory tests is essential.</p>
<p>Over the past decade, studies have reported that neutrophil count and percentage, neutrophil-to-lymphocyte ratio (NLR), platelet (PLT) count, mean platelet volume (MPV) and direct bilirubin are key parameters in the diagnosis of appendicitis and predicting the complications (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>,<xref rid="b14-BR-20-5-01765 b15-BR-20-5-01765 b16-BR-20-5-01765 b17-BR-20-5-01765 b18-BR-20-5-01765 b19-BR-20-5-01765" ref-type="bibr">14-19</xref>). A recent study demonstrated an association between plasma sodium concentration &#x2264;135 mmol/l and perforated appendicitis (<xref rid="b5-BR-20-5-01765" ref-type="bibr">5</xref>). The present study aimed to evaluate the diagnostic value of CRP, WBC count, NLR, PLT, platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), red blood cell distribution width (RDW), MPV and serum bilirubin levels for acute appendicitis. The present study aimed to propose a standard was for the management of acute appendicitis.</p>
</sec>
<sec sec-type="Materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Study design and participant selection</title>
<p>The present study was approved by the Institutional Review Board of Beijing Tsinghua Changgung Hospital (Beijing, China; approval no. 22029-1-01). Because of the retrospective nature of the study, the requirement for patient consent for inclusion was waived. Data from 1,514 cases with acute appendicitis who were admitted to the Gastrointestinal Department of Beijing Tsinghua Changgung Hospital (n=978; 64.6&#x0025;) and Surgery Department of Beijing Aerospace General Hospital (Beijing, China; n=536; 35.4&#x0025;) from January 2016 to September 2021 were retrospectively analyzed. The inclusion criteria were as follows: i) Age &#x2265;14 years and ii) pathological confirmation of acute appendicitis. The exclusion criteria were as follows: i) Postoperative pathology indicating a normal appendix; ii) concurrent autoimmune or infectious diseases of non-appendiceal origin; iii) concurrent severe liver, cardiovascular or kidney diseases; iv) concurrent cancer or other blood related diseases and v) antibiotic treatment &#x003C;12 h before the surgery and blood test.</p>
<p>Blood test was performed &#x003C;12 h before the surgery. Flow cytometry was used to detect blood cell composition and hydraulic focusing method (Automated Hematology Systems XN, Automated Hematology Analyzer XN series XN master, flow cell count + DNA/RNA fluorescence staining) was used for the complete blood count and blood chemistry tests. Additionally, liver function test was conducted using diazonium salt method (BECKMAN COULTER CHEMISTRY ANALYZER AU5800 Serie, Beckman Coulter AU5800 software, B000017AA, Beckman Coulter). All the cases underwent laparoscopic appendectomy.</p>
<p>Appendix pathology was evaluated by an experienced pathologist from each hospital. The pathological results were classified as follows: Simple/phlegmonous (intraoperative signs of congestion, an increased diameter, red) color change, exudate or pus; or histopathologic signs of transmural inflammation, ulceration, or thrombosis, with or without extramural pus), gangrenous and perforated (perioperative signs of a friable appendix with purple, green or black color changes, a visible perforation, and/or abscess formation, or histopathologic signs of transmural inflammation with signs of necrosis or perforation) appendicitis (<xref rid="b20-BR-20-5-01765" ref-type="bibr">20</xref>). Subsequently, all cases were categorized into two groups: Uncomplicated, comprising simple and phlegmonous appendicitis, and complicated appendicitis, encompassing gangrenous and perforated appendicitis and periappendicular abscess.</p>
</sec>
<sec>
<title>Data collection</title>
<p>The information of age, sex and body temperature was retrieved from the medical records. Routine blood tests provided data on WCC, CRP, MPV, neutrophil count and percentage, platelet (PLT), lymphocyte count and coefficient of variation (CV) and standard deviation (SD) of RDW. Liver function test yielded values for total and direct bilirubin and CRP. NLR was calculated as the ratio of neutrophil count to lymphocyte count, LMR as the ratio of lymphocyte count to monocyte count and PLR as the ratio of platelet count to lymphocyte count.</p>
<p>The primary outcomes of the study included the values of WCC, CRP, MPV, neutrophil count and percentage, lymphocyte count, RDW-CV and RDW-SD. The secondary outcomes were values of total and direct bilirubin, CRP, NLR, LMR and PLR.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>The statistical analysis was performed using SPSS 25.0 software (IBM Corp.). Normally distributed continuous variables are expressed as mean &#x00B1; SD and compared using unpaired t test. Abnormally distributed continuous variables are presented as median and compared using the Kruskal-Wallis H test. Numerical data were expressed as number and percentage and compared using &#x03C7;<sup>2</sup> test. Multivariate logistic regression analysis was conducted on parameters exhibiting significant differences in the univariate analysis. Diagnostic accuracy was evaluated by receiver operating characteristic (ROC) curve analysis. The appropriate cut-off values were identified and sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were calculated for parameters with an area under the curve (AUC)&#x003E;0.600. All tests were two-sided. P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<p>The cohort comprised 780 (51.5&#x0025;) men and 734 (48.5&#x0025;) women with a mean age of 36.000&#x00B1;15.135 (range, 14-88) years. A total of 1,172 (77.4&#x0025;) cases were allocated to the uncomplicated appendicitis group, while 342 (22.6&#x0025;) cases were in the complicated appendicitis group. Age, body temperature, WCC, CRP, neutrophil percentage and count, NLR, PLR, PLT, RDW-CV, RDW-SD, MPV, total bilirubin and direct bilirubin exhibited significant differences (all P&#x003C;0.001) between the two groups as evidenced by univariate analysis (<xref rid="tI-BR-20-5-01765" ref-type="table">Table I</xref>).</p>
<p>Multivariate logistic regression analysis revealed that CRP (P&#x003C;0.001), neutrophil count (P&#x003C;0.001), NLR (P=0.019), PLR (P&#x003C;0.001), PLT (P&#x003C;0.001), RDW-CV (P=0.045), RDW-SD (P&#x003C;0.001), MPV (P=0.007) and direct bilirubin (P&#x003C;0.001) were the independent risk factors associated with complicated appendicitis (<xref rid="tII-BR-20-5-01765" ref-type="table">Table II</xref>). According to ROC curve analysis, factors with AUC&#x003E;0.600 were CRP, NLR, RDW-SD and direct bilirubin (all P&#x003C;0.001; <xref rid="tII-BR-20-5-01765" ref-type="table">Table II</xref>). The cut-off values of CRP, NLR, RDW-SD and direct bilirubin are presented in <xref rid="tIII-BR-20-5-01765" ref-type="table">Table III</xref>.</p>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>Acute appendicitis is the prevailing cause of acute abdominal conditions, with morbidity rates up to 2&#x0025; (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>,<xref rid="b21-BR-20-5-01765" ref-type="bibr">21</xref>). The diagnosis of appendicitis depends on symptoms, signs, laboratory tests and imaging results (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>,<xref rid="b7-BR-20-5-01765" ref-type="bibr">7</xref>,<xref rid="b8-BR-20-5-01765" ref-type="bibr">8</xref>). Surgery is the primary therapy for acute appendicitis, especially for complicated appendicitis (<xref rid="b22-BR-20-5-01765 b23-BR-20-5-01765 b24-BR-20-5-01765 b25-BR-20-5-01765" ref-type="bibr">22-25</xref>). Complicated appendicitis accounts for 18-34&#x0025; of acute appendicitis cases (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>). Conservative treatment is the first option for uncomplicated appendicitis (<xref rid="b1-BR-20-5-01765" ref-type="bibr">1</xref>,<xref rid="b7-BR-20-5-01765" ref-type="bibr">7</xref>,<xref rid="b8-BR-20-5-01765" ref-type="bibr">8</xref>,<xref rid="b26-BR-20-5-01765" ref-type="bibr">26</xref>). Therefore, it is necessary to choose an effective and simple method to distinguish complicated and uncomplicated appendicitis. Parameters such as temperature, CRP, WBC, NLR, PLR, MPV, RDW-CV, RDW-SD and total bilirubin may improve the diagnostic accuracy for complicated appendicitis, however, the efficacy varies (<xref rid="b10-BR-20-5-01765" ref-type="bibr">10</xref>,<xref rid="b16-BR-20-5-01765 b17-BR-20-5-01765 b18-BR-20-5-01765 b19-BR-20-5-01765" ref-type="bibr">16-19</xref>,<xref rid="b21-BR-20-5-01765" ref-type="bibr">21</xref>,<xref rid="b27-BR-20-5-01765 b28-BR-20-5-01765 b29-BR-20-5-01765" ref-type="bibr">27-29</xref>). The present study analyzed 1,514 cases who underwent laparoscopic appendectomy at two surgical centers. The results suggested that CRP, neutrophil, NLR, PLR, PLT, RDW-CV, RDW-SD, MPV and direct bilirubin could be the independent risk factors of complicated appendicitis.</p>
<p>CRP is a serum inflammatory marker and a critical factor associated with complicated appendicitis (<xref rid="b16-BR-20-5-01765" ref-type="bibr">16</xref>,<xref rid="b19-BR-20-5-01765" ref-type="bibr">19</xref>,<xref rid="b30-BR-20-5-01765" ref-type="bibr">30</xref>). Its concentration increases rapidly by several-fold in the early stage of inflammation (6-12 h) (<xref rid="b31-BR-20-5-01765" ref-type="bibr">31</xref>). Notably, WBC count is a sensitive indicator during the first 24 h of acute appendicitis, while CRP is sensitive after the first 24 h (<xref rid="b31-BR-20-5-01765" ref-type="bibr">31</xref>). Ahmed (<xref rid="b32-BR-20-5-01765" ref-type="bibr">32</xref>) reported that the probability of appendix perforation significantly increases when CRP &#x003E;48 mg/dl. A study including 42 acute appendicitis cases found that the sensitivity and specificity of perforated appendicitis are 71 and 100&#x0025;, respectively, when CRP is &#x003E;40.1 mg/dl (<xref rid="b33-BR-20-5-01765" ref-type="bibr">33</xref>). Choudhary <italic>et al</italic> (<xref rid="b34-BR-20-5-01765" ref-type="bibr">34</xref>) demonstrated that the sensitivity and specificity of perforated appendicitis are 100 and 54&#x0025;, respectively, when CRP is &#x003E;6.15 mg/l. Hence, the appropriate cut-off of CRP is key for distinguishing complicated appendicitis. The present study found that the sensitivity and specificity of complicated appendicitis were 64.24 and 66.09&#x0025;, respectively, when CRP was &#x003E;22.95 mg/l. This cut-off value was lower than that reported in previous studies (<xref rid="b32-BR-20-5-01765" ref-type="bibr">32</xref>,<xref rid="b33-BR-20-5-01765" ref-type="bibr">33</xref>).</p>
<p>NLR is obtained from complete blood count. It is a routine and cost-effective blood test during diagnosis of appendicitis. NLR can effectively elucidate the severity of acute appendicitis (<xref rid="b18-BR-20-5-01765" ref-type="bibr">18</xref>,<xref rid="b27-BR-20-5-01765" ref-type="bibr">27</xref>,<xref rid="b28-BR-20-5-01765" ref-type="bibr">28</xref>,<xref rid="b35-BR-20-5-01765" ref-type="bibr">35</xref>,<xref rid="b36-BR-20-5-01765" ref-type="bibr">36</xref>), while the cut-off value remains controversial (<xref rid="b27-BR-20-5-01765" ref-type="bibr">27</xref>,<xref rid="b28-BR-20-5-01765" ref-type="bibr">28</xref>,<xref rid="b35-BR-20-5-01765" ref-type="bibr">35</xref>,<xref rid="b36-BR-20-5-01765" ref-type="bibr">36</xref>). Ishizuka <italic>et al</italic> (<xref rid="b14-BR-20-5-01765" ref-type="bibr">14</xref>) reported that NLR of 8.0 is significantly associated with gangrenous appendicitis based on the analysis of 314 cases who underwent appendectomy. Kahramanca <italic>et al</italic> (<xref rid="b15-BR-20-5-01765" ref-type="bibr">15</xref>) analyzed 897 cases and concluded that NLR of 5.74 is associated with complicated appendicitis; sensitivity and specificity of clinical features were 70.8 and 48.5&#x0025;, respectively. The present study reported an NLR of 5.7 associated with complicated appendicitis and the sensitivity and specificity were 82.46 and 32.51&#x0025;, respectively. This finding was similar to that of Kahramanca <italic>et al</italic> (<xref rid="b15-BR-20-5-01765" ref-type="bibr">15</xref>) and lower than that reported by Ishizuka <italic>et al</italic> (<xref rid="b14-BR-20-5-01765" ref-type="bibr">14</xref>). Prior research (<xref rid="b14-BR-20-5-01765" ref-type="bibr">14</xref>) suggests that the lower the cut-off value of NLR, the higher the sensitivity of NLR. Cut-off value of 3.5 results in the highest sensitivity (<xref rid="b35-BR-20-5-01765" ref-type="bibr">35</xref>) and the specificity increases when NLR &#x003E;5.0(<xref rid="b21-BR-20-5-01765" ref-type="bibr">21</xref>). Further investigation with a larger sample size is essential to find an optimal cut-off value of NLR.</p>
<p>The serum bilirubin levels increase due to liver dysfunction during infection, especially sepsis. Hence, serum bilirubin levels are included in the evaluation of patients with complicated appendicitis (<xref rid="b37-BR-20-5-01765 b38-BR-20-5-01765 b39-BR-20-5-01765" ref-type="bibr">37-39</xref>). The sensitivity and specificity of total and direct bilirubin in recognizing complicated appendicitis are 48 and 61&#x0025;, respectively (<xref rid="b40-BR-20-5-01765" ref-type="bibr">40</xref>). Sand <italic>et al</italic> (<xref rid="b41-BR-20-5-01765" ref-type="bibr">41</xref>) reported that hyperbilirubinemia has a specificity of 86&#x0025; for appendiceal perforation or gangrene, while CRP has a specificity of 35&#x0025;. Estrada <italic>et al</italic> (<xref rid="b42-BR-20-5-01765" ref-type="bibr">42</xref>) found that bilirubin levels &#x003E;1 mg/dl are associated with three-fold risk of perforated appendicitis. Pogoreli&#x0107; <italic>et al</italic> (<xref rid="b43-BR-20-5-01765" ref-type="bibr">43</xref>) demonstrated that hyperbilirubinemia is a reliable indicator for perforated acute appendicitis in children with sensitivity of 92&#x0025; and specificity of 77.3&#x0025;. By contrast, certain studies have reported no diagnostic value for bilirubin in the prediction of perforated appendicitis (<xref rid="b44-BR-20-5-01765" ref-type="bibr">44</xref>,<xref rid="b45-BR-20-5-01765" ref-type="bibr">45</xref>). Bilirubin alone is sufficient to identify patients with acute appendicitis and predict perforated appendicitis. The value of bilirubin as a marker increases when combined with clinical symptoms and other blood markers (<xref rid="b44-BR-20-5-01765" ref-type="bibr">44</xref>,<xref rid="b46-BR-20-5-01765" ref-type="bibr">46</xref>). In the present study, total and direct bilirubin levels were significantly elevated in the complicated appendicitis group. Direct bilirubin was an independent risk factor of complicated appendicitis with a sensitivity of 47.66&#x0025; and specificity of 78.16&#x0025; when the cut-off value was 6.1 mmol/l. Although total bilirubin levels can be measured, few studies have reported the efficiency of direct bilirubin (<xref rid="b44-BR-20-5-01765 b45-BR-20-5-01765 b46-BR-20-5-01765" ref-type="bibr">44-46</xref>). Therefore, these results need to be verified with further studies.</p>
<p>RDW reflects volumetric heterogeneity of red blood cells. At present, it is primarily used for the differential diagnosis of anemia (<xref rid="b47-BR-20-5-01765" ref-type="bibr">47</xref>,<xref rid="b48-BR-20-5-01765" ref-type="bibr">48</xref>). RDW is altered in certain types of inflammatory and infectious disease, such as inflammatory bowel disease, celiac disease, acute pancreatitis, rheumatoid arthritis, bacteremia, sepsis and septic shock (<xref rid="b47-BR-20-5-01765 b48-BR-20-5-01765 b49-BR-20-5-01765 b50-BR-20-5-01765 b51-BR-20-5-01765" ref-type="bibr">47-51</xref>). Previous studies have reported a strong correlation between RDW and inflammatory markers, such as CRP, erythrocyte sedimentation rate and interleukin-6 (<xref rid="b48-BR-20-5-01765" ref-type="bibr">48</xref>,<xref rid="b49-BR-20-5-01765" ref-type="bibr">49</xref>). The inflammatory mediators affect survival of red blood cells in the circulation by suppressing erythrocyte maturation. Thus, newer, larger reticulocytes enter peripheral circulation and increase the RDW (<xref rid="b48-BR-20-5-01765" ref-type="bibr">48</xref>). Narci <italic>et al</italic> (<xref rid="b52-BR-20-5-01765" ref-type="bibr">52</xref>) found that RDW significantly decreases in patients with acute appendicitis compared with healthy individuals. Conversely, Aktimur <italic>et al</italic> (<xref rid="b53-BR-20-5-01765" ref-type="bibr">53</xref>) and Tanrikulu <italic>et al</italic> (<xref rid="b54-BR-20-5-01765" ref-type="bibr">54</xref>) did not identify any diagnostic value of RDW in acute appendicitis. Jung <italic>et al</italic> (<xref rid="b55-BR-20-5-01765" ref-type="bibr">55</xref>) demonstrated that the RDW is significantly higher in complicated appendicitis compared with that in the uncomplicated appendicitis; by contrast, RDW does not significantly differ between patients with appendicitis and healthy individuals. A recent meta-analysis, which included 5,222 cases, showed that RDW does not differentiate patients with acute appendicitis from healthy individuals (<xref rid="b56-BR-20-5-01765" ref-type="bibr">56</xref>) and highlighted the lack of evidence for the diagnosis of acute appendicitis using RDW. The results of the present study indicated that RDW-CV and RDW-SD were independent risk factors for complicated appendicitis. RDW-SD had a sensitivity of 82.16&#x0025; and specificity of 33.45&#x0025; for complicated appendicitis when the cut-off value was 17.7 fl. Therefore, RDW could serve as a parameter to identify complicated appendicitis.</p>
<p>Although the present multicenter study indicated CRP, NLR, direct bilirubin and RDW-SD as potential biomarkers for complicated appendicitis, the retrospective nature of the analysis may introduce the possibility of bias. Therefore, randomized controlled trials should be conducted. Moreover, the present study only assessed laboratory results. In the future, physical examination should also be included to improve sensitivity and specificity.</p>
<p>In conclusion, elevated levels of CRP (&#x003E;22.95 mg/l), NLR (&#x003E;5.7), RDW-SD (&#x003E;17.7 fl) and direct bilirubin (&#x003E;6.1 mmol/l) could serve as valuable indicators for diagnosing acute complicated appendicitis. For patients exhibiting these indicators, surgery is the primary recommended treatment.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not appliable.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The data generated in the present study are included in the figures and/or tables of this article.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>QZ, HWZ and WQL designed the study, analyzed data and wrote the manuscript. FW and PZ reviewed the manuscript and analyzed and interpreted data. QZ, HWZ, and WQL confirm the authenticity of all the raw data. All authors have read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The study was approved by the Institutional Review Board of Beijing Tsinghua Changgung Hospital (Beijing, China approval no. 22029-1-01). The requirement for informed consent was waived due to the retrospective nature of the study.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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<floats-group>
<table-wrap id="tI-BR-20-5-01765" position="float">
<label>Table I</label>
<caption><p>Univariate analysis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Uncomplicated appendicitis</th>
<th align="center" valign="middle">Complicated appendicitis</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">N</td>
<td align="center" valign="middle">1,172</td>
<td align="center" valign="middle">342</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Median age (range), years</td>
<td align="center" valign="middle">35 (14-81)</td>
<td align="center" valign="middle">41 (16-88)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Sex (&#x0025;)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">0.868</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Male</td>
<td align="center" valign="middle">606 (51.70)</td>
<td align="center" valign="middle">174 (50.90)</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Female</td>
<td align="center" valign="middle">566 (48.30)</td>
<td align="center" valign="middle">168 (49.10)</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Mean body temperature, &#x02DA;C</td>
<td align="center" valign="middle">37.0&#x00B1;0.70</td>
<td align="center" valign="middle">37.50&#x00B1;0.93</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean WBC count, x10<sup>9</sup>/l</td>
<td align="center" valign="middle">13.0&#x00B1;3.92</td>
<td align="center" valign="middle">14.24&#x00B1;3.98</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean CRP, mg/l</td>
<td align="center" valign="middle">10.18&#x00B1;50.8</td>
<td align="center" valign="middle">43.29&#x00B1;74.41</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean neutrophil, &#x0025;</td>
<td align="center" valign="middle">84.40&#x00B1;9.40</td>
<td align="center" valign="middle">86.20&#x00B1;7.73</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean neutrophil count, x10<sup>9</sup>/l</td>
<td align="center" valign="middle">10.79&#x00B1;3.93</td>
<td align="center" valign="middle">12.17&#x00B1;3.67</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean NLR</td>
<td align="center" valign="middle">8.21&#x00B1;8.36</td>
<td align="center" valign="middle">9.95&#x00B1;11.88</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean LMR</td>
<td align="center" valign="middle">2.43&#x00B1;3.12</td>
<td align="center" valign="middle">1.87&#x00B1;3.43</td>
<td align="center" valign="middle">0.919</td>
</tr>
<tr>
<td align="left" valign="middle">Mean PLR&#x2021;</td>
<td align="center" valign="middle">167.53&#x00B1;200.27</td>
<td align="center" valign="middle">191.43&#x00B1;374.31</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean PLT, x10<sup>9</sup>/l</td>
<td align="center" valign="middle">222.50&#x00B1;57.46</td>
<td align="center" valign="middle">225.50&#x00B1;58.21</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean RDW-CV, &#x0025;</td>
<td align="center" valign="middle">11.90&#x00B1;1.55</td>
<td align="center" valign="middle">12.10&#x00B1;1.36</td>
<td align="center" valign="middle">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean RDW-SD, fl</td>
<td align="center" valign="middle">37.40&#x00B1;12.6</td>
<td align="center" valign="middle">38.50&#x00B1;10.56</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">MPV, fl</td>
<td align="center" valign="middle">10.30&#x00B1;14.28</td>
<td align="center" valign="middle">10.10&#x00B1;11.80</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean bilirubin, mmol/l</td>
<td align="center" valign="middle">14.60&#x00B1;8.78</td>
<td align="center" valign="middle">17.95&#x00B1;10.78</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Mean direct bilirubin, mmol/l</td>
<td align="center" valign="middle">4.24&#x00B1;2.6</td>
<td align="center" valign="middle">5.80&#x00B1;3.80</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>WBC, white blood cell; CRP, C-reactive protein; NLR, neutrophil-to-lymphocyte ratio; LMR, lymphocyte-to-monocyte ratio; PLR, platelet-to-lymphocyte ratio; PLT, platelet count; RDW, red blood cell distribution width; MPV, mean platelet volume; CV, coefficient of variation.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-BR-20-5-01765" position="float">
<label>Table II</label>
<caption><p>Logistic regression and ROC curve in factors associated with complicated appendicitis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">&#x00A0;</th>
<th align="center" valign="middle" colspan="3">Multivariate analysis</th>
<th align="center" valign="middle" colspan="3">ROC curve analysis</th>
</tr>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">OR</th>
<th align="center" valign="middle">95&#x0025; CI</th>
<th align="center" valign="middle">P-value</th>
<th align="center" valign="middle">AUC</th>
<th align="center" valign="middle">95&#x0025; CI</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">CRP</td>
<td align="center" valign="middle">1.008</td>
<td align="center" valign="middle">1.005-1.010</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.679</td>
<td align="center" valign="middle">0.642-0.714</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Neutrophil count</td>
<td align="center" valign="middle">1.120</td>
<td align="center" valign="middle">1.055-1.189</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.589</td>
<td align="center" valign="middle">0.556-0.621</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">NLR</td>
<td align="center" valign="middle">0.944</td>
<td align="center" valign="middle">0.900-0.991</td>
<td align="center" valign="middle">0.019</td>
<td align="center" valign="middle">0.603</td>
<td align="center" valign="middle">0.556-0.621</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">PLR</td>
<td align="center" valign="middle">1.005</td>
<td align="center" valign="middle">1.003-1.008</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.573</td>
<td align="center" valign="middle">0.537-0.607</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">PLT</td>
<td align="center" valign="middle">0.996</td>
<td align="center" valign="middle">0.993-1.000</td>
<td align="center" valign="middle">0.039</td>
<td align="center" valign="middle">0.502</td>
<td align="center" valign="middle">0.466-0.535</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">RDW-CV</td>
<td align="center" valign="middle">0.809</td>
<td align="center" valign="middle">0.657-0.996</td>
<td align="center" valign="middle">0.045</td>
<td align="center" valign="middle">0.579</td>
<td align="center" valign="middle">0.544-0.610</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">RDW-SD</td>
<td align="center" valign="middle">1.147</td>
<td align="center" valign="middle">1.079-1.219</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.605</td>
<td align="center" valign="middle">0.571-0.637</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">MPV</td>
<td align="center" valign="middle">1.067</td>
<td align="center" valign="middle">1.018-1.118</td>
<td align="center" valign="middle">0.007</td>
<td align="center" valign="middle">0.567</td>
<td align="center" valign="middle">0.535-0.601</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Direct bilirubin</td>
<td align="center" valign="middle">1.128</td>
<td align="center" valign="middle">1.075-1.184</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.657</td>
<td align="center" valign="middle">0.622-0.690</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>OR, odds ratio; AUC, area under the curve; CRP, C-reactive protein; NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; PLT, platelet; RDW, red blood cell distribution width; MPV, mean platelet volume; CV, coefficient of variation.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-BR-20-5-01765" position="float">
<label>Table III</label>
<caption><p>Proposed cut-off values for significant parameters in prediction of acute complicated appendicitis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Cut-off value</th>
<th align="center" valign="middle">Sensitivity, &#x0025;</th>
<th align="center" valign="middle">Specificity, &#x0025;</th>
<th align="center" valign="middle">PPV</th>
<th align="center" valign="middle">NPV</th>
<th align="center" valign="middle">pLLR</th>
<th align="center" valign="middle">nLLR</th>
<th align="center" valign="middle">AUC</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">CRP</td>
<td align="center" valign="middle">22.95</td>
<td align="center" valign="middle">64.24</td>
<td align="center" valign="middle">66.09</td>
<td align="center" valign="middle">38.10</td>
<td align="center" valign="middle">85.00</td>
<td align="center" valign="middle">1.89</td>
<td align="center" valign="middle">0.54</td>
<td align="center" valign="middle">0.679</td>
</tr>
<tr>
<td align="left" valign="middle">NLR</td>
<td align="center" valign="middle">5.7</td>
<td align="center" valign="middle">82.46</td>
<td align="center" valign="middle">32.51</td>
<td align="center" valign="middle">26.30</td>
<td align="center" valign="middle">86.40</td>
<td align="center" valign="middle">1.22</td>
<td align="center" valign="middle">0.54</td>
<td align="center" valign="middle">0.603</td>
</tr>
<tr>
<td align="left" valign="middle">RDW-SD</td>
<td align="center" valign="middle">17.7</td>
<td align="center" valign="middle">82.16</td>
<td align="center" valign="middle">33.45</td>
<td align="center" valign="middle">26.50</td>
<td align="center" valign="middle">86.50</td>
<td align="center" valign="middle">1.23</td>
<td align="center" valign="middle">0.53</td>
<td align="center" valign="middle">0.605</td>
</tr>
<tr>
<td align="left" valign="middle">Direct bilirubin</td>
<td align="center" valign="middle">6.1</td>
<td align="center" valign="middle">47.66</td>
<td align="center" valign="middle">78.16</td>
<td align="center" valign="middle">38.90</td>
<td align="center" valign="middle">83.70</td>
<td align="center" valign="middle">2.18</td>
<td align="center" valign="middle">0.67</td>
<td align="center" valign="middle">0.657</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>PPV, positive predictive value; NPV, negative predictive value; OR, odds ratio; pLLR, positive likelihood ratio; nLLR, negative likelihood ratio; AUC, area under the curve; CRP, C-reactive protein; NLR, neutrophil-to-lymphocyte ratio; RDW, red blood cell distribution width.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
