Skip to main content
Frontiers in Pharmacology logoLink to Frontiers in Pharmacology
. 2022 Mar 31;13:865303. doi: 10.3389/fphar.2022.865303

Related Markers for the Precision Diagnosis of Complex Appendicitis in Children

Jialin Zhou 1,2,, Wenjing Xu 3,, Jitao Wang 4,*, Zhe Fan 1,2,*
PMCID: PMC9010144  PMID: 35431963

Abstract

Acute appendicitis is the most common surgical emergency in children. Despite the high incidence rate of appendicitis, it is sometimes misdiagnosed or missed. Complex appendicitis (CA) in children is characterized by a critical condition, several complications, and high mortality. Precision distinguishing between simple appendicitis and CA correctly is key to choosing appropriate treatment. A safe, cheap, rapid, extensive and accurate diagnostic marker of appendicitis will be of great significance for emergency general surgeons to treat suspected CA. Many studies have investigated possible diagnostic markers for the diagnosis of CA in children. In this study, studies related to CA in children in recent years are summarized, and the related markers and scoring system for the diagnosis of CA in children are summarized.

Keywords: complex appendicitis, children, biomarkers, rating related, review

Background

Acute appendicitis can be divided into simple appendicitis (SA) and complex appendicitis (CA) according to the severity of the disease. Diagnosis of CA is based on appendix perforation, appendix gangrene, appendix abscess, intra-abdominal abscess, and fecal peritonitis (Pham et al., 2016; Hajibandeh et al., 2020), CA is more common in children, with a prevalence of up to 30% (Yu et al., 2019). However, due to nonspecific symptoms and difficulties in accurate physical examination, distinguishing between SA and CA in children remains a challenge. The application of biomarkers in the diagnosis of CA has the advantages of easy collection, no limitations based on operator skill, and no radiation exposure compared with other diagnostic modalities. Our study summarizes biomarkers and the scoring system related to the diagnosis of CA in children to diagnose this disease more quickly and increasing the time for follow-up treatment. (Figure 1).

FIGURE 1.

FIGURE 1

Markers for pediatric complex appendicitis.

Single Index

Soluble CD40 Ligand

sCD40L has both pro-thrombotic and pro-inflammatory effects (de Lizarrondo et al., 2012; Seibold and Ehrenschwender, 2015; Liu et al., 2018). When the body experiences an inflammatory response, sCD40L stored in unstimulated platelets aggregates, followed by stimulation of nuclear factor-κB signaling, causing upregulation of pro-inflammatory and pro-thrombotic factors.

Studies have shown that sCD40L has excellent sensitivity and specificity in predicting CA in children. sCD40L levels below 178.00 pg/ml in the first 3 days of appendicitis can exclude the diagnosis of ruptured appendicitis (RA). Conversely, sCD40L above 301.00 pg/ml confirms the diagnosis of appendicitis and may have a high probability of RA (Huang et al., 2021). In these cases, further testing may not be necessary to confirm the diagnosis in patients with suspected appendicitis.

Plasma Fibrinogen

Under physiological conditions, the plasma concentration of fibrinogen ranges from 2 to 4 g/L (Tennent et al., 2007). However, under pathological conditions, such as infection, post-injury inflammation or diseases associated with vascular rupture, plasma fibrinogen concentrations can increase several-fold (Luyendyk et al., 2019). Therefore, fibrinogen is considered to be a marker of acute inflammation (Adams et al., 2004). An increase in fibrinogen in the blood can indicate that inflammation has been increased in the organism; it can also indicate the development of vascular inflammatory disease (Kayapinar et al., 2019; Luyendyk et al., 2019).

Studies have shown that fibrinogen has relatively high specificity and acceptable sensitivity as a laboratory marker for predicting perforated appendicitis (PA) (Feng et al., 2014). Fibrinogen can also be an important indicator to exclude CA (Li et al., 2011). Children with plasma fibrinogen levels > 520 mg/dl are more likely to have CA (Prada-Arias et al., 2017).

Hepcidin

Hepcidin is synthesized in hepatocytes and is a major hormonal regulator of iron metabolism, an antimicrobial peptide, and an acute phase reactant. For healthy children, the interquartile range for hepcidin was shown to be 21.90 ng/ml (Kumar et al., 2019). In inflammatory and infectious conditions, hepcidin synthesis is regulated by interleukin (IL)-6 and lipopolysaccharide (Rodriguez et al., 2014; Arezes et al., 2015). Hepcidin has direct antimicrobial activity and helps host defense by depriving microorganisms of this essential iron mineral (Ganz, 2003; Michels et al., 2015).

Kaiser et al. found that the serum hepcidin level of SA and CA in children was significantly increased. In addition, the accuracy of the combination of leukocytes and C-reactive protein (CRP) for the diagnosis of acute appendicitis can be improved by increasing serum hepcidin levels (Kaiser et al., 2018).

CRP

CRP is an acute temporal protein important for detecting occult inflammation and active disease (Clyne and Olshaker, 1999). Many researchers believe CRP has good diagnostic value for CA. Perforation should be considered in children with high CRP levels and free fluid or abscess formation by ultrasonography (Boettcher et al., 2017). Yang et al. found that increased WBC levels, CRP levels, and absolute value of neutrophils were associated with an increased likelihood of perforation (Yang et al., 2019). Beltran et al. (Beltrán et al., 2007) indicated that the CRP level and its sensitivity increased gradually from symptom to diagnosis, and the specificity at 12, 24, and 48 h from symptom to diagnosis was still very high (90%). However, the diagnostic accuracy of CRP reached its highest value within 12 h, after which it decreased significantly.

Different researchers have reached different conclusions regarding the threshold value of CRP for diagnosis of CA. Several studies have shown that children with CRP values in the range of 10–50 mg/L suggest uncomplicated appendicitis, while CRP > 50 mg/L strongly suggests CA (Kafetzis et al., 2005; Xharra et al., 2012). It has also been suggested that CRP values > 50 mg/L are more likely to indicate CA (Wu et al., 2012). A retrospective study by Zani et al. found that CRP and WBC levels increased in proportion to the severity of appendicitis. Children with CRP below 40 mg/L had an 80% chance of not having CA (Zani et al., 2017).

Procalcitonin

PCT is a good marker of severe bacterial infection. PCT levels increased with the severity of infection (Meisner, 2014). PCT is less accurate than CRP and WBC in the diagnosis of acute appendicitis, but more accurate in the diagnosis of CA (Yu et al., 2013; Cui et al., 2019). Patients with PCT levels > 0.18 ng/ml and/or CRP > 3 mg/dl are at higher risk of peritonitis and should be closely monitored; more stringent treatment should be administered early (Gavela et al., 2012).

Bilirubin

Hyperbilirubinemia is defined as bilirubin levels greater than 20.5 μmol/l (Emmanuel et al., 2011). One prospective study showed that an increase in total serum bilirubin can be used as an indicator of appendicitis perforation in children (Pogorelić et al., 2021a). Bilirubin levels are highly specific for the diagnosis of complicated appendicitis; a 2.0-fold increase in the likelihood of complicated appendicitis was observed in patients with elevated bilirubin levels (Noh et al., 2012). In addition, total bilirubin > 21.38 mol/L was a predictor of appendicitis perforation (Yamazaki et al., 2021). As serum bilirubin level is an economical, simple, and available laboratory index, it should be recommended for preliminary evaluation of acute appendicitis in pediatric patients.

Soluble B7H3

B7H3, an immune checkpoint molecule belonging to the B7-CD28 family, is associated with the regulation of T cells (Janakiram et al., 2017). Release of sB7H3 may regulate B7H3R/B7H3 interactions in vivo (Zhang et al., 2008). This marker has been increasingly used to detect a number of inflammatory conditions (Chen et al., 2009; Chen et al., 2013a; Xu et al., 2019). Du et al. found that sB7H3 is important in predicting acute appendicitis and its severity in children, and sB7H3 > 36.146 ng/ml is statistically significant for the diagnosis of CA. The combination of CRP and sB7H3 increases the accuracy of PA diagnosis (Du et al., 2020).

Hyponatremia

Hyponatremia refers to a serum sodium concentration ≤ 135 mmol/L. Research suggests hyponatremia may be a useful tool for predicting PA (Pogorelić et al., 2021b). It is unclear why hyponatremia usually accompanies CA patients, but it may be mediated by antidiuretic hormone (Käser et al., 2013; Pham et al., 2016; Pogorelić et al., 2019; Yang et al., 2019; Giannis et al., 2020; Lindestam et al., 2020).

Routine Urine Test

A routine urine test is helpful to distinguish SA from PA. Chen et al. (Chen et al., 2013b) found that urinary ketone bodies, nitrate, urinary specific gravity, pH, WBC count and red blood cell (RBC) count all appeared to be important predictors of PA. Compared with children with SA, children with PA are more likely to be positive for ketone bodies and nitrates, higher urinary proportion, lower urinary pH, more urinary WBCs, and more urinary RBCs. In addition, urine RBC count (≥ 2.0/hpf) and WBC count (≥ 4.0/hpf) can be important predictors of appendiceal perforation or appendiceal abscess in children.

Cluster of Differentiation 64

Quantitative expression of neutrophil CD64 serves as a sensitive and specific laboratory indicator of the presence of sepsis or systemic acute inflammatory response, thus suggestive of a variety of inflammatory conditions (Xini et al., 2019; Hashem et al., 2020; Patnaik et al., 2020). Levels of CD64 were found to predict the occurrence of advanced appendicitis or PA; CRP levels and CD64 expression on leukocytes could better predict the diagnosis of CA (Ozguner et al., 2014).

Interleukin (IL)-6

IL-6 is an important natural immune cytokine closely related to the degree of inflammation. Researchers often use IL-6 as an indicator of the degree of systemic inflammation (Raeburn et al., 2002). IL-6 plays an important role in differentiating simple and advanced cases of appendicitis (Türkyilmaz et al., 2006).

Blood Routine Related Indexes

Percentage Lymphocyte Count

Virmani et al. demonstrated that the percentage lymphocyte count is a better indicator than the neutrophil to lymphocyte ration (NLR) and total leukocyte count (TLC) in distinguishing SA from CA. The threshold value for lymphocyte count is 14.8%. Values less than this are considered CA whereas values greater are considered SA (Virmani et al., 2018; Celik et al., 2019).

WBC Count

WBC count is not sensitive and specific enough to distinguish PA from non-perforated appendicitis (Grönroos, 2001). However, the use of CRP alone or WBC count in combination with CRP helps to differentiate between PA and non-perforated appendicitis (Grönroos, 2001). CRP levels > 50 mg/l and leukocyte counts > 104/mm3 were effective adjuncts to predict appendiceal perforation (Kafetzis et al., 2005; Buyukbese Sarsu and Sarac, 2016; Yang et al., 2019; Zvizdic et al., 2021).

However, some studies have reached an opposite conclusion, suggesting the increase in leukocyte count is a risk factor for CA (Beltrán et al., 2007; Siddique et al., 2011; Şahbaz et al., 2014), and its sensitivity increases with the duration of symptoms (Beltrán et al., 2007; Ngim et al., 2014). Okamoto et al. (Okamoto et al., 2006) found that an increase in WBC count 48 h after the onset of pain is a prognosis marker of CA. In addition, Beltra et al. (Beltrán et al., 2007) demonstrated that WBC count can also distinguish between SA and PA. The diagnostic accuracy was high (80%) at 12 and 48 h, and beyond 49 h, decreasing to 70% at 24 h.

Neutrophil Percentage

Neutrophil percentage can be used to diagnose CA, with elevated neutrophil percentage (> 74%) and CRP (> 8 mg/dl) levels predicting a more than five-fold increased risk of PA (Yang et al., 2019). A neutrophil count greater than 75% is considered CA (Virmani et al., 2018).

Neutrophil-to-Lymphocyte Ratio

Neutrophil-to-lymphocyte ratio (NLR) is a simple and easily calculated marker of the body’s inflammatory status (Käser et al., 2010). Because it provides information about two different inflammatory and immune pathways, we believe NLR is valuable in predicting appendicitis and its severity. Hajibandeh et al. demonstrated that children with NLR > 8.8 are at higher risk of CA (Hajibandeh et al., 2020).

Percentage of Immature Granulocytes

In recent years, it has been found that the Ig percentage can be used as a marker of infection and that this percentage can be measured automatically in a new generation of hemograms. It has the advantage that it can be measured easily and quickly without incurring additional costs (van der Geest et al., 2014; Pavare et al., 2018; Zeng et al., 2020). Studies have demonstrated that an elevated Ig percentage can predict CA, with a sensitivity of 85.4% and a specificity of 61.5% when the Ig percentage is 35%. Because it is quick and easy to measure, does not require additional blood collection, and does not incur additional costs, IG percentage may be the test of choice for diagnosing patients with CA (Güngör et al., 2021). (Table 1)

TABLE 1.

Related markers in the diagnosis of complex appendicitis in children and corresponding values.

marker Value
sCD40L >301.00 pg/ml
Plasma Fibrinogen >520 mg/dl
CRP >50 mg/L/>30 mg/L
PCT >0.18 ng/m
Bilirubin >21.38 mol/L
sB7H3 >36.146 ng/ml
Serum natrium ≤135 mmol/L
Urine RBC counts ≥2.0/hpf
Urine WBC counts ≥4.0/hpf
Percentage lymphocyte count <14.8%
WBC >13,500/mm3
Percentage neutrophil counts >74%
NLR >8.8
IG% >35%

CRP, C-reactive protein; PCT, procalcitonin; RBC, red blood cell; WBC, white blood cell; NLR, neutrophil-to-lymphocyte ratio; IG, immature granulocyte.

Rating Related Indexes

Pediatric Appendicitis Score

PAS includes the following indicators: 1) cough/shock/jumping abdominal pressure in the right lower abdomen, 2), anorexia, 3), fever, 4), nausea/vomiting, 5), pain in the right iliac fossa, 6), leukocytosis, 7), polymorphonuclear neutrophilia, and 8) painful migration. All of these variables were scored as 1 except for signs (1 and 5), which were scored as 2, for a total score of 10. The score is now widely used to diagnose acute appendicitis in children. A score ≥ 6 is consistent with a diagnosis of appendicitis (Samuel, 2002). PAS may be related to the pathological progression of appendicitis and the severity of the disease. PAS ≥ 8 can be used for the diagnosis of CA (Fujii et al., 2020). Fujii et al. demonstrated that symptom duration > 1 day, CRP > 4 mg/dl and PAS ≥ 8 predicted CA, which was more convincing than a single indicator of any of these three.

Appendicitis Scoring System in Children

Lee et al. developed a scoring system capable of differentiating CA in children under 10 years of age, which consisted of five risk factors: diarrhea, anorexia, temperature, CRP level, and presence of periappendiceal free fluid on radiological examination. Among them, fever (Bonadio et al., 2018; Obinwa et al., 2015; Peng et al., 2006; van den Bogaard et al., 2016; Atema et al., 2015; Augustin et al., 2011) and CRP level (van den Bogaard et al., 2016; Lee et al., 2021; Barreto et al., 2010; Bröker et al., 2012) were found to be predictors of CA in previous studies. The advantages of this score over other scores is that it includes CRP levels and excludes indistinguishable symptoms, such as pain metastasis and nausea.

To reduce the risk of delaying treatment due to misclassification of CA as uncomplicated appendicitis using this scoring system, this score uses a score of 4 as the threshold value to distinguish CA from SA. Appendectomy should be considered if the patient meets both an ASS score of four and CRP ≥ 50 mg/L or has two or more risk factors (Lee et al., 2021).

Appendicitis Inflammatory Response Score

The AIR score includes vomiting, right iliac fossa pain, muscle tension, temperature, neutrophil grading, WBC, and CRP. Because it is primarily based on objective inflammatory markers, this score has the advantage of high repeatability in different environments, independent of the inspector’s experience. Pogoreli et al. found that the AIR score was able to distinguish PA from non-perforated appendicitis; ≥ 9 (AIR score) is a good index of appendix perforation, with a sensitivity of 89.5% and a specificity of 71.9% (Pogorelić et al., 2021c).

Heidelberg Appendicitis Score

HAS includes four factors (persistent pain, right lower abdominal tenderness, rebound tenderness, and appendicitis by ultrasound). Current studies have shown that perforation in children with appendicitis can be identified by using HAS as it can reliably detect PA in children and exclude perforation if the score is negative (Boettcher et al., 2017).

Stiel et al. proposed a modified Heidelberg score including ultrasound showing appendicitis, CRP > 20 mg/L, rebound tenderness, leukocytes > 11 × 109/L and right lower abdominal tenderness. Modified Heidelberg appendicitis provides good predictability for both general appendicitis and PA (Stiel et al., 2020). (Table 2)

TABLE 2.

Different scoring systems for diagnosing complex appendicitis in children, including the different weighing factors for each score.

PAS ASS AIR HAS Mod HAS
Nausea/Vomiting 1 1
Pain in RIF 2 1 1 1
Abdominal Defense (Low/Mild/Severe) 1/2/3
Temperature >38.5°C 1 3 1
Neutrophilia (70–84%/>85%) 1 1/2
Leukocytes (10.0–14.9 × 109/l/>15.0 × 109/l/>11 × 109/l) 1 1/2 1
CRP (10–49 g/l/>50 g/l/>20 mg/l) 5 1/2 1
US demonstrating APP 1 1
Rebound tenderness 1 1
Anorexia 1 2
Diarrhea 2
Periappendiceal free fluid on image 3
Continuous pain 1
Cough/Percussion/Hopping tenderness 2
Migration of pain 1
Positive score 8/10 4/15 9/12 3/4 3/5

RIF, right Iliac Fossa; CRP, C-reactive protein; US demonstrating appendicitis comprises the appendix diameter > 6 mm and/or signs of inflammation such as wall edema, hyperemia, and surrounding inflammation; US, ultrasound; APP, appendicitis.

Conclusion

Research on relevant markers for the diagnosis of CA in children is gradually increasing. Biomarkers and scoring systems for children allow for earlier diagnosis, which not only reduces the number of unnecessary surgeries, but also reduces complications and helps to significantly reduce the cost of treating patients with acute abdominal disease. All markers list in the manuscript are helpful for diagnosis of CA, however, no index can diagnose CA at an accuracy of 100%; based on the overall consideration, we recommend PAS. Although, the review focuses the markers for the precision diagnosis of complex appendicitis in children. related markers for CA are as same as medical history, physical examination and imaging examinations. Appropriate selection of diagnostic markers and scoring systems for predicting CA in children is important for determining the best treatment strategy. There are several non-routine indexes for diagnosis of CA; therefore, more researches about the non-routine indexes need to be performed to verify their significance and they can be routine test for diagnosis of CA. The research on some biomarkers is still in its infancy, and further investigation is needed to refine the reference value for diagnosing CA, diagnostic accuracy, and clinical applications of CA.

Author Contributions

JZ and WX reviewed the relevant literature and wrote the manuscript. ZF designed structure. JW and ZF revised the manuscript. All authors read and approved the final manuscript.

Funding

This study was supported by the National Natural Science Foundation of China (Grants No. 81701965 to ZF).

Conflict of Interest

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.

Publisher’s Note

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.

References

  1. Adams R. A., Passino M., Sachs B. D., Nuriel T., Akassoglou K. (2004). Fibrin Mechanisms and Functions in Nervous System Pathology. Mol. Interv. 4 (3), 163–176. 10.1124/mi.4.3.6 [DOI] [PubMed] [Google Scholar]
  2. Arezes J., Jung G., Gabayan V., Valore E., Ruchala P., Gulig P. A., et al. (2015). Hepcidin-induced Hypoferremia Is a Critical Host Defense Mechanism against the Siderophilic Bacterium Vibrio Vulnificus. Cell Host Microbe 17 (1), 47–57. 10.1016/j.chom.2014.12.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Atema J. J., van Rossem C. C., Leeuwenburgh M. M., Stoker J., Boermeester M. A. (2015). Scoring System to Distinguish Uncomplicated from Complicated Acute Appendicitis. Br. J. Surg. 102 (8), 979–990. 10.1002/bjs.9835 [DOI] [PubMed] [Google Scholar]
  4. Augustin T., Cagir B., Vandermeer T. J. (2011). Characteristics of Perforated Appendicitis: Effect of Delay Is Confounded by Age and Gender. J. Gastrointest. Surg. 15 (7), 1223–1231. 10.1007/s11605-011-1486-x [DOI] [PubMed] [Google Scholar]
  5. Barreto S. G., Travers E., Thomas T., Mackillop C., Tiong L., Lorimer M., et al. (2010). Acute Perforated Appendicitis: an Analysis of Risk Factors to Guide Surgical Decision Making. Indian J. Med. Sci. 64 (2), 58–65. 10.4103/0019-5359.94401 [DOI] [PubMed] [Google Scholar]
  6. Beltrán M. A., Almonacid J., Vicencio A., Gutiérrez J., Cruces K. S., Cumsille M. A. (2007). Predictive Value of white Blood Cell Count and C-Reactive Protein in Children with Appendicitis. J. Pediatr. Surg. 42 (7), 1208–1214. 10.1016/j.jpedsurg.2007.02.010 [DOI] [PubMed] [Google Scholar]
  7. Boettcher M., Günther P., Breil T. (2017). The Heidelberg Appendicitis Score Predicts Perforated Appendicitis in Children. Clin. Pediatr. (Phila) 56 (12), 1115–1119. 10.1177/0009922816678976 [DOI] [PubMed] [Google Scholar]
  8. Bonadio W., Shahid S., Vardi L., Buckingham C., Kornblatt A., Free C., et al. (2018). A Pre-operative Clinical Scoring System to Distinguish Perforation Risk with Pediatric Appendicitis. J. Pediatr. Surg. 53 (3), 441–445. 10.1016/j.jpedsurg.2017.05.017 [DOI] [PubMed] [Google Scholar]
  9. Bröker M. E., van Lieshout E. M., van der Elst M., Stassen L. P., Schepers T. (2012). Discriminating between Simple and Perforated Appendicitis. J. Surg. Res. 176 (1), 79–83. 10.1016/j.jss.2011.09.049 [DOI] [PubMed] [Google Scholar]
  10. Buyukbese Sarsu S., Sarac F. (2016). Diagnostic Value of White Blood Cell and C-Reactive Protein in Pediatric Appendicitis. Biomed. Res. Int. 2016, 6508619. 10.1155/2016/6508619 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Celik B., Nalcacioglu H., Ozcatal M., Altuner Torun Y. (2019). Role of Neutrophil-To-Lymphocyte Ratio and Platelet-To-Lymphocyte Ratio in Identifying Complicated Appendicitis in the Pediatric Emergency Department. Ulus Travma Acil Cerrahi Derg 25 (3), 222–228. 10.5505/tjtes.2018.06709 [DOI] [PubMed] [Google Scholar]
  12. Chen C. Y., Zhao L. L., Lin Y. R., Wu K. H., Wu H. P. (2013). Different Urinalysis Appearances in Children with Simple and Perforated Appendicitis. Am. J. Emerg. Med. 31 (11), 1560–1563. 10.1016/j.ajem.2013.06.027 [DOI] [PubMed] [Google Scholar]
  13. Chen X., Zhang G., Li Y., Feng X., Wan F., Zhang L., et al. (2009). Circulating B7-H3(cd276) Elevations in Cerebrospinal Fluid and Plasma of Children with Bacterial Meningitis. J. Mol. Neurosci. 37 (1), 86–94. 10.1007/s12031-008-9133-z [DOI] [PubMed] [Google Scholar]
  14. Chen Z. R., Zhang G. B., Wang Y. Q., Yan Y. D., Zhou W. F., Zhu C. H., et al. (2013). Soluble B7-H3 Elevations in Hospitalized Children with Mycoplasma Pneumoniae Pneumonia. Diagn. Microbiol. Infect. Dis. 77 (4), 362–366. 10.1016/j.diagmicrobio.2013.09.006 [DOI] [PubMed] [Google Scholar]
  15. Clyne B., Olshaker J. S. (1999). The C-Reactive Protein. J. Emerg. Med. 17 (6), 1019–1025. 10.1016/s0736-4679(99)00135-3 [DOI] [PubMed] [Google Scholar]
  16. Cui W., Liu H., Ni H., Qin X., Zhu L. (2019). Diagnostic Accuracy of Procalcitonin for Overall and Complicated Acute Appendicitis in Children: a Meta-Analysis. Ital. J. Pediatr. 45 (1), 78. 10.1186/s13052-019-0673-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. de Lizarrondo S. M., Roncal C., Calvayrac O., Rodríguez C., Varo N., Purroy A., et al. (2012). Synergistic Effect of Thrombin and CD40 Ligand on Endothelial Matrix Metalloproteinase-10 Expression and Microparticle Generation In Vitro and In Vivo . Atvb 32 (6), 1477–1487. 10.1161/atvbaha.112.248773 [DOI] [PubMed] [Google Scholar]
  18. Du X., Chen Y., Zhu J., Bai Z., Hua J., Li Y., et al. (2020). sB7H3 in Children with Acute Appendicitis: Its Diagnostic Value and Association with Histological Findings. J. Immunol. Res. 2020, 2670527. 10.1155/2020/2670527 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Emmanuel A., Murchan P., Wilson I., Balfe P. (2011). The Value of Hyperbilirubinaemia in the Diagnosis of Acute Appendicitis. Ann. R. Coll. Surg. Engl. 93 (3), 213–217. 10.1308/147870811x566402 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Feng S., Wu P., Chen X. (2014). Hyperfibrinogenemia in Appendicitis: a New Predictor of Perforation in Children. Pediatr. Surg. Int. 30 (11), 1143–1147. 10.1007/s00383-014-3585-8 [DOI] [PubMed] [Google Scholar]
  21. Fujii T., Tanaka A., Katami H., Shimono R. (2020). Usefulness of the Pediatric Appendicitis Score for Assessing the Severity of Acute Appendicitis in Children. Pediatr. Int. 62 (1), 70–73. 10.1111/ped.14032 [DOI] [PubMed] [Google Scholar]
  22. Ganz T. (2003). Hepcidin, a Key Regulator of Iron Metabolism and Mediator of Anemia of Inflammation. Blood 102 (3), 783–788. 10.1182/blood-2003-03-0672 [DOI] [PubMed] [Google Scholar]
  23. Gavela T., Cabeza B., Serrano A., Casado-Flores J. (2012). C-reactive Protein and Procalcitonin Are Predictors of the Severity of Acute Appendicitis in Children. Pediatr. Emerg. Care 28 (5), 416–419. 10.1097/PEC.0b013e318252d875 [DOI] [PubMed] [Google Scholar]
  24. Giannis D., Matenoglou E., Moris D. (2020). Hyponatremia as a Marker of Complicated Appendicitis: A Systematic Review. Surgeon 18 (5), 295–304. 10.1016/j.surge.2020.01.002 [DOI] [PubMed] [Google Scholar]
  25. Grönroos J. M. (2001). Do normal Leucocyte Count and C-Reactive Protein Value Exclude Acute Appendicitis in Children? Acta Paediatr. 90 (6), 649–651. 10.1080/08035250117900 [DOI] [PubMed] [Google Scholar]
  26. Güngör A., Göktuğ A., Güneylioğlu M. M., Yaradılmış R. M., Bodur i., Öztürk B., et al. (2021). Utility of Biomarkers in Predicting Complicated Appendicitis: Can Immature Granulocyte Percentage and C-Reactive Protein Be Used? Postgrad. Med. 133 (7), 817–821. 10.1080/00325481.2021.1948306 [DOI] [PubMed] [Google Scholar]
  27. Hajibandeh S., Hajibandeh S., Hobbs N., Mansour M. (2020). Neutrophil-to-lymphocyte Ratio Predicts Acute Appendicitis and Distinguishes between Complicated and Uncomplicated Appendicitis: A Systematic Review and Meta-Analysis. Am. J. Surg. 219 (1), 154–163. 10.1016/j.amjsurg.2019.04.018 [DOI] [PubMed] [Google Scholar]
  28. Hashem H. E., Abdel Halim R. M., El Masry S. A., Mokhtar A. M., Abdelaal N. M. (2020). The Utility of Neutrophil CD64 and Presepsin as Diagnostic, Prognostic, and Monitoring Biomarkers in Neonatal Sepsis. Int. J. Microbiol. 2020, 8814892. 10.1155/2020/8814892 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Huang W. Y., Chen C. Y., Chang Y. J., Lee E. P., Wu H. P. (2021). Serum Soluble CD40 Ligand in Predicting Simple Appendicitis and Complicated Appendicitis at Different Time Points in Children. Front. Pediatr. 9, 676370. 10.3389/fped.2021.676370 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Janakiram M., Shah U. A., Liu W., Zhao A., Schoenberg M. P., Zang X. (2017). The Third Group of the B7-CD28 Immune Checkpoint Family: HHLA2, TMIGD2, B7x, and B7-H3. Immunol. Rev. 276 (1), 26–39. 10.1111/imr.12521 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Kafetzis D. A., Velissariou I. M., Nikolaides P., Sklavos M., Maktabi M., Spyridis G., et al. (2005). Procalcitonin as a Predictor of Severe Appendicitis in Children. Eur. J. Clin. Microbiol. Infect. Dis. 24 (7), 484–487. 10.1007/s10096-005-1360-4 [DOI] [PubMed] [Google Scholar]
  32. Kaiser M., Schroeckenfuchs M., Castellani C., Warncke G., Till H., Singer G. (2018). The Diagnostic Value of Hepcidin to Predict the Presence and Severity of Appendicitis in Children. J. Surg. Res. 222, 102–107. 10.1016/j.jss.2017.10.021 [DOI] [PubMed] [Google Scholar]
  33. Käser S. A., Fankhauser G., Willi N., Maurer C. A. (2010). C-reactive Protein Is superior to Bilirubin for Anticipation of Perforation in Acute Appendicitis. Scand. J. Gastroenterol. 45 (7-8), 885–892. 10.3109/00365521003728572 [DOI] [PubMed] [Google Scholar]
  34. Käser S. A., Furler R., Evequoz D. C., Maurer C. A. (2013). Hyponatremia Is a Specific Marker of Perforation in Sigmoid Diverticulitis or Appendicitis in Patients Older Than 50 Years. Gastroenterol. Res. Pract. 2013, 462891. 10.1155/2013/462891 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Kayapinar O., Ozde C., Kaya A. (2019). Relationship between the Reciprocal Change in Inflammation-Related Biomarkers (Fibrinogen-To-Albumin and hsCRP-To-Albumin Ratios) and the Presence and Severity of Coronary Slow Flow. Clin. Appl. Thromb. Hemost. 25, 1076029619835383. 10.1177/1076029619835383 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Kumar S., Bhatia P., Jain R., Bharti B. (2019). Plasma Hepcidin Levels in Healthy Children: Review of Current Literature Highlights Limited Studies. J. Pediatr. Hematol. Oncol. 41 (3), 238–242. 10.1097/mph.0000000000001216 [DOI] [PubMed] [Google Scholar]
  37. Lee Y., Cho H., Gwak G., Bae B., Yang K. (2021). Scoring System for Differentiation of Complicated Appendicitis in Pediatric Patients: Appendicitis Scoring System in Children. Glob. Pediatr. Health 8, 2333794X211022268. 10.1177/2333794x211022268 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Li J., Liu Y., Yin W., Zhang C., Huang J., Liao C., et al. (2011). Alterations of the Preoperative Coagulation Profile in Patients with Acute Appendicitis. Clin. Chem. Lab. Med. 49 (8), 1333–1339. 10.1515/cclm.2011.214 [DOI] [PubMed] [Google Scholar]
  39. Lindestam U., Almström M., Jacks J., Malmquist P., Lönnqvist P. A., Jensen B. L., et al. (2020). Low Plasma Sodium Concentration Predicts Perforated Acute Appendicitis in Children: A Prospective Diagnostic Accuracy Study. Eur. J. Pediatr. Surg. 30 (4), 350–356. 10.1055/s-0039-1687870 [DOI] [PubMed] [Google Scholar]
  40. Liu Z. L., Hu J., Xiao X. F., Peng Y., Zhao S. P., Xiao X. Z., et al. (2018). The CD40 Rs1883832 Polymorphism Affects Sepsis Susceptibility and sCD40L Levels. Biomed. Res. Int. 2018, 7497314. 10.1155/2018/7497314 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Luyendyk J. P., Schoenecker J. G., Flick M. J. (2019). The Multifaceted Role of Fibrinogen in Tissue Injury and Inflammation. Blood 133 (6), 511–520. 10.1182/blood-2018-07-818211 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Meisner M. (2014). Update on Procalcitonin Measurements. Ann. Lab. Med. 34 (4), 263–273. 10.3343/alm.2014.34.4.263 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Michels K., Nemeth E., Ganz T., Mehrad B. (2015). Hepcidin and Host Defense against Infectious Diseases. Plos Pathog. 11 (8), e1004998. 10.1371/journal.ppat.1004998 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Ngim C. F., Quek K. F., Dhanoa A., Khoo J. J., Vellusamy M., Ng C. S. (2014). Pediatric Appendicitis in a Developing Country: what Are the Clinical Predictors and Outcome of Perforation? J. Trop. Pediatr. 60 (6), 409–414. 10.1093/tropej/fmu037 [DOI] [PubMed] [Google Scholar]
  45. Noh H., Chang S. J., Han A. (2012). The Diagnostic Values of Preoperative Laboratory Markers in Children with Complicated Appendicitis. J. Korean Surg. Soc. 83 (4), 237–241. 10.4174/jkss.2012.83.4.237 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Obinwa O., Peirce C., Cassidy M., Fahey T., Flynn J. (2015). A Model Predicting Perforation and Complications in Paediatric Appendicectomy. Int. J. Colorectal Dis. 30 (4), 559–565. 10.1007/s00384-015-2120-2 [DOI] [PubMed] [Google Scholar]
  47. Okamoto T., Sano K., Ogasahara K. (2006). Receiver-operating Characteristic Analysis of Leukocyte Counts and Serum C-Reactive Protein Levels in Children with Advanced Appendicitis. Surg. Today 36 (6), 515–518. 10.1007/s00595-006-3189-6 [DOI] [PubMed] [Google Scholar]
  48. Ozguner İ., Kızılgun M., Karaman A., Cavusoğlu Y. H., Erdoğan D., Karaman İ., et al. (2014). Are Neutrophil CD64 Expression and Interleukin-6 Early Useful Markers for Diagnosis of Acute Appendicitis? Eur. J. Pediatr. Surg. 24 (2), 179–183. 10.1055/s-0033-1347295 [DOI] [PubMed] [Google Scholar]
  49. Patnaik R., Azim A., Agarwal V. (2020). Neutrophil CD64 a Diagnostic and Prognostic Marker of Sepsis in Adult Critically Ill Patients: A Brief Review. Indian J. Crit. Care Med. 24 (12), 1242–1250. 10.5005/jp-journals-10071-23558 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Pavare J., Grope I., Gardovska D. (2018). Assessment of Immature Granulocytes Percentage to Predict Severe Bacterial Infection in Latvian Children: An Analysis of Secondary Data. Medicina (Kaunas) 54 (4), 56. 10.3390/medicina54040056 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Peng Y. S., Lee H. C., Yeung C. Y., Sheu J. C., Wang N. L., Tsai Y. H. (2006). Clinical Criteria for Diagnosing Perforated Appendix in Pediatric Patients. Pediatr. Emerg. Care 22 (7), 475–479. 10.1097/01.pec.0000226871.49427.ec [DOI] [PubMed] [Google Scholar]
  52. Pham X. D., Sullins V. F., Kim D. Y., Range B., Kaji A. H., de Virgilio C. M., et al. (2016). Factors Predictive of Complicated Appendicitis in Children. J. Surg. Res. 206 (1), 62–66. 10.1016/j.jss.2016.07.023 [DOI] [PubMed] [Google Scholar]
  53. Pogorelić Z., Lukšić B., Ninčević S., Lukšić B., Polašek O. (2021). Hyponatremia as a Predictor of Perforated Acute Appendicitis in Pediatric Population: A Prospective Study. J. Pediatr. Surg. 56 (10), 1816–1821. 10.1016/j.jpedsurg.2020.09.066 [DOI] [PubMed] [Google Scholar]
  54. Pogorelić Z., Silov N., Jukić M., Elezović Baloević S., Poklepović Peričić T., Jerončić A. (2019). Ertapenem Monotherapy versus Gentamicin Plus Metronidazole for Perforated Appendicitis in Pediatric Patients. Surg. Infect. (Larchmt) 20 (8), 625–630. 10.1089/sur.2019.025 [DOI] [PubMed] [Google Scholar]
  55. Pogorelić Z., Lukšić A. M., Mihanović J., Đikić D., Balta V. (2021). Hyperbilirubinemia as an Indicator of Perforated Acute Appendicitis in Pediatric Population: A Prospective Study. Surg. Infections 22, 1064–1071. 10.1089/sur.2021.107 [DOI] [PubMed] [Google Scholar]
  56. Pogorelić Z., Mihanović J., Ninčević S., Lukšić B., Elezović Baloević S., Polašek O. (2021). Validity of Appendicitis Inflammatory Response Score in Distinguishing Perforated from Non-perforated Appendicitis in Children. Children 8 (4), 309. 10.3390/children8040309 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Prada-Arias M., Vázquez J. L., Salgado-Barreira Á., Gómez-Veiras J., Montero-Sánchez M., Fernández-Lorenzo J. R. (2017). Diagnostic Accuracy of Fibrinogen to Differentiate Appendicitis from Nonspecific Abdominal Pain in Children. Am. J. Emerg. Med. 35 (1), 66–70. 10.1016/j.ajem.2016.10.003 [DOI] [PubMed] [Google Scholar]
  58. Raeburn C. D., Sheppard F., Barsness K. A., Arya J., Harken A. H. (2002). Cytokines for Surgeons. Am. J. Surg. 183 (3), 268–273. 10.1016/s0002-9610(02)00781-x [DOI] [PubMed] [Google Scholar]
  59. Rodriguez R., Jung C. L., Gabayan V., Deng J. C., Ganz T., Nemeth E., et al. (2014). Hepcidin Induction by Pathogens and Pathogen-Derived Molecules Is Strongly Dependent on Interleukin-6. Infect. Immun. 82 (2), 745–752. 10.1128/iai.00983-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Şahbaz N. A., Bat O., Kaya B., Ulukent S. C., İlkgül Ö., Özgün M. Y., et al. (2014). The Clinical Value of Leucocyte Count and Neutrophil Percentage in Diagnosing Uncomplicated (Simple) Appendicitis and Predicting Complicated Appendicitis. Ulus Travma Acil Cerrahi Derg 20 (6), 423–426. 10.5505/tjtes.2014.75044 [DOI] [PubMed] [Google Scholar]
  61. Samuel M. (2002). Pediatric Appendicitis Score. J. Pediatr. Surg. 37 (6), 877–881. 10.1053/jpsu.2002.32893 [DOI] [PubMed] [Google Scholar]
  62. Seibold K., Ehrenschwender M. (2015). p62 Regulates CD40-Mediated NFκB Activation in Macrophages through Interaction with TRAF6. Biochem. Biophys. Res. Commun. 464 (1), 330–335. 10.1016/j.bbrc.2015.06.153 [DOI] [PubMed] [Google Scholar]
  63. Siddique K., Baruah P., Bhandari S., Mirza S., Harinath G. (2011). Diagnostic Accuracy of white Cell Count and C-Reactive Protein for Assessing the Severity of Paediatric Appendicitis. JRSM Short Rep. 2 (7), 59. 10.1258/shorts.2011.011025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Stiel C., Elrod J., Klinke M., Herrmann J., Junge C. M., Ghadban T., et al. (2020). The Modified Heidelberg and the AI Appendicitis Score Are Superior to Current Scores in Predicting Appendicitis in Children: A Two-Center Cohort Study. Front. Pediatr. 8, 592892. 10.3389/fped.2020.592892 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Tennent G. A., Brennan S. O., Stangou A. J., O'Grady J., Hawkins P. N., Pepys M. B. (2007). Human Plasma Fibrinogen Is Synthesized in the Liver. Blood 109 (5), 1971–1974. 10.1182/blood-2006-08-040956 [DOI] [PubMed] [Google Scholar]
  66. Türkyilmaz Z., Sönmez K., Karabulut R., Elbeğ Ş., Moralioğlu S., Demirtola A., et al. (2006). Sequential Cytokine Levels in the Diagnosis of Appendicitis. Scand. J. Clin. Lab. Invest. 66 (8), 723–732. 10.1080/00365510600975251 [DOI] [PubMed] [Google Scholar]
  67. van den Bogaard V. A., Euser S. M., van der Ploeg T., de Korte N., Sanders D. G., de Winter D., et al. (2016). Diagnosing Perforated Appendicitis in Pediatric Patients: a New Model. J. Pediatr. Surg. 51 (3), 444–448. 10.1016/j.jpedsurg.2015.10.054 [DOI] [PubMed] [Google Scholar]
  68. van der Geest P. J., Mohseni M., Brouwer R., van der Hoven B., Steyerberg E. W., Groeneveld A. B. (2014). Immature Granulocytes Predict Microbial Infection and its Adverse Sequelae in the Intensive Care Unit. J. Crit. Care 29 (4), 523–527. 10.1016/j.jcrc.2014.03.033 [DOI] [PubMed] [Google Scholar]
  69. Virmani S., Prabhu P. S., Sundeep P. T., Kumar V. (2018). Role of Laboratory Markers in Predicting Severity of Acute Appendicitis. Afr. J. Paediatr. Surg. 15 (1), 1–4. 10.4103/ajps.AJPS_47_16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Wu H. P., Yang W. C., Wu K. H., Chen C. Y., Fu Y. C. (2012). Diagnosing Appendicitis at Different Time Points in Children with Right Lower Quadrant Pain: Comparison between Pediatric Appendicitis Score and the Alvarado Score. World J. Surg. 36 (1), 216–221. 10.1007/s00268-011-1310-5 [DOI] [PubMed] [Google Scholar]
  71. Xharra S., Gashi-Luci L., Xharra K., Veselaj F., Bicaj B., Sada F., et al. (2012). Correlation of Serum C-Reactive Protein, white Blood Count and Neutrophil Percentage with Histopathology Findings in Acute Appendicitis. World J. Emerg. Surg. 7 (1), 27. 10.1186/1749-7922-7-27 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Xini A., Pistiki A., Lada M., Giamarellos-Bourboulis E. J., Dimopoulos G. (2019). Association of the Early Absolute CD64-Expressing Neutrophil Count and Sepsis Outcome. Eur. J. Clin. Microbiol. Infect. Dis. 38 (6), 1123–1128. 10.1007/s10096-019-03507-0 [DOI] [PubMed] [Google Scholar]
  73. Xu Y., Yu L., Hao C., Wang Y., Zhu C., Ji W., et al. (2019). Plasma Soluble B7-H3 Levels for Severity Evaluation in Pediatric Patients with Mycoplasma Pneumoniae Pneumonia. Int. Immunopharmacol 73, 163–171. 10.1016/j.intimp.2019.05.014 [DOI] [PubMed] [Google Scholar]
  74. Yamazaki S., Shimodaira Y., Kobayashi A., Takata M., Hayashibara K., Sakon M., et al. (2021). Predictive Factors of Perforated Appendicitis: Impact of the C-Reactive Protein Level. Surg. Open Sci. 6, 1–4. 10.1016/j.sopen.2021.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Yang J., Liu C., He Y., Cai Z. (2019). Laboratory Markers in the Prediction of Acute Perforated Appendicitis in Children. Emerg. Med. Int. 2019, 4608053. 10.1155/2019/4608053 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Yu C. W., Juan L. I., Wu M. H., Shen C. J., Wu J. Y., Lee C. C. (2013). Systematic Review and Meta-Analysis of the Diagnostic Accuracy of Procalcitonin, C-Reactive Protein and white Blood Cell Count for Suspected Acute Appendicitis. Br. J. Surg. 100 (3), 322–329. 10.1002/bjs.9008 [DOI] [PubMed] [Google Scholar]
  77. Yu Y. R., Rosenfeld E. H., Dadjoo S., Orth R. C., Lopez M. E., Shah S. R., et al. (2019). Accuracy of Surgeon Prediction of Appendicitis Severity in Pediatric Patients. J. Pediatr. Surg. 54 (11), 2274–2278. 10.1016/j.jpedsurg.2019.04.007 [DOI] [PubMed] [Google Scholar]
  78. Zani A., Teague W. J., Clarke S. A., Haddad M. J., Khurana S., Tsang T., et al. (2017). Can Common Serum Biomarkers Predict Complicated Appendicitis in Children? Pediatr. Surg. Int. 33 (7), 799–805. 10.1007/s00383-017-4088-1 [DOI] [PubMed] [Google Scholar]
  79. Zeng L., Wang S., Lin M., Chen Y., Deng Q., Zhong H., et al. (2020). Evaluation of Time to Positivity for Blood Culture Combined with Immature Granulocytes, Neutrophil-To-Lymphocyte Ratio, and CRP in Identifying Bloodstream Coagulase-Negative Staphylococci Infection in Pediatric Patients. J. Clin. Lab. Anal. 34 (11), e23473. 10.1002/jcla.23473 [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Zhang G., Hou J., Shi J., Yu G., Lu B., Zhang X. (2008). Soluble CD276 (B7-H3) Is Released from Monocytes, Dendritic Cells and Activated T Cells and Is Detectable in normal Human Serum. Immunology 123 (4), 538–546. 10.1111/j.1365-2567.2007.02723.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Zvizdic Z., Golos A. D., Milisic E., Jonuzi A., Zvizdic D., Glamoclija U., et al. (2021). The Predictors of Perforated Appendicitis in the Pediatric Emergency Department: A Retrospective Observational Cohort Study. Am. J. Emerg. Med. 49, 249–252. 10.1016/j.ajem.2021.06.028 [DOI] [PubMed] [Google Scholar]

Articles from Frontiers in Pharmacology are provided here courtesy of Frontiers Media SA

RESOURCES