Abstract
Background
The correct diagnosis rate in acute appendicitis (AA) is between 72 and 94% despite advanced laboratory and radiologic examinations. This study was conducted to determine the effectiveness of laboratory parameters in the diagnosis of children with appendicitis.
Materials and methods
Patients who underwent appendectomy were divided as AA (subdivided into two groups as perforated and non-perforated) and without appendicitis. White blood cell (WBC), neutrophil-to-lymphocyte ratio (NLR), red cell distribution (RDW), mean platelet volume (MPV), C-reactive protein (CRP), procalcitonin levels and Alvarado score were recorded.
Results
WBC, NLR and CRP levels were higher in patients with AA (p<0.05). According to the receiver operating characteristic (ROC) curve, area under the ROC curve (AUC), p values and 95% confidence interval in predicting patients with and without appendicitis were NLR: 0.703, 0.025, 0.523–0.884; CRP: 0.822, <0.001, 0.725–0.919; procalcitonin: 0.631, 0.150, 506–0.755 and Alvarado score: 0.754, 0.05, 0.578–0.930, respectively. RDW, CRP and procalcitonin values of perforated appendicitis patients were higher compared with those of the non-perforated ones (p<0.05). According to the ROC curve, AUC, p values and 95%CI were NLR: 0.583, 0.094, 0.488–0.678; RDW: 0.715, <0.001, 0.628–0.802; CRP: 0.900, <0.001, 0.842–0.958; procalcitonin: 0.865, <0.001, 0.799–0.930 and Alvarado score: 0.727, <0.001, 0.641–0.812, respectively.
Conclusions
CRP is the most effective bioindicator in the diagnosis of AA, the detection of perforated cases. It was revealed that NLR is effective in the diagnosis of AA, procalcitonin and RDW values are effective in the separation of perforated cases.
Öz
Amaç
Akut apandisitte (AA) ileri laboratuvar ve radyolojik tetkiklere rağmen doğru tanı oranı %72-94 arasındadır. Bu çalışmada, AA tanısında laboratuvar parametrelerinin etkinliğini belirlemek amaçlandı.
Gereç veyöntem
Apendektomi yapılan hastalar histopatolojik olarak AA (perfore ve perfore olmayanlar olarak iki alt gruba ayrıldı) ve apandisit olmayanlar olarak iki gruba ayrıldı. Beyaz küre sayısı (WBC), nötrofil lenfosit oranı (NLO), kırmızı küre dağılım genişliği (RDW), ortalama trombosit hacmi (MPV), C-reaktif protein (CRP), prokalsitonin seviyeleri ve Alvarado skoru kaydedildi.
Bulgular
Akut apandisitli hastalarda WBC, NLO ve CRP değerleri daha yüksekti (p<0.05). Yapılan ROC analizinde akut apandisit olan ve olmayan hastaları öngörmede eğri altındaki alan (AUC), p değerleri ve %95 güven aralığı sırasıyla NLO: 0.703, 0.025, 0.523–0.884; CRP: 0.822, <0.001, 0.725–0.919; prokalsitonin: 0.631, 0.15, 0.506–0.755 ve Alvarado skoru için: 0.754, 0.05, 0.578–0.930 olarak tespit edildi. Perfore apandisitli hastaların RDW, CRP ve prokalsitonin değerleri perfore olmayanlara göre daha yüksekti (p<0.05). AUC, p değerleri ve %95 güven aralığı sırasıyla NLO: 0.583, 0.094, 0.488–0.678; RDW: 0.715, <0.001, 0.628–0.802; CRP: 0.900, <0.001, 0.842–0.958; prokalsitonin: 0.865, <0.001, 0.799–0.930 ve Alvarado skoru için: 0.727, <0.001, 0.641–0.812 olarak tespit edildi.
Sonuç
Akut apandisit tanısında ve perfore olguların tespitinde CRP en etkili biyobelirteçtir. AA tanısında NLO, perfore olguların ayırımında ise prokalsitonin ve RDW değerlerinin etkili olduğu tespit edildi.
Introduction
Acute appendicitis (AA) is the most prevalent cause of abdominal pain requiring emergency operation among children [1]. Diagnosis can be delayed due to atypical patient complaints and physical examination findings [2]. Late diagnosis increases the risk of perforation due to which morbidity, mortality, and cost of treatment increase [3]. Despite advanced laboratory and radiologic examinations, the correct diagnosis rate is between 72 and 94% [4].
Alvarado score is a scoring system which is reported to have 78–82% accuracy in the diagnosis of AA [5]. In this scoring system, evaluation is made according to the clinical findings of patients, physical examination and laboratory findings [6]. Leukocyte increase (>10,000/mm3) and leukocyte left shift (>75%) are laboratory findings used in the Alvarado score. Complete blood count (CBC) is a cheap and easily accessible test, which can be performed in almost all centres. Additionally, CBC helps evaluate white blood cells (WBC), neutrophile and lymphocyte counts, red cell distribution (RDW) and mean platelet volume (MPV).
In this study, it was aimed to determine the contribution of Alvarado scoring system and neutrophil-to-lymphocyte ratio (NLR), RDW, MPV, C-reactive protein (CRP) and procalcitonin (PCT) values to the diagnosis of the patients diagnosed with AA histopathologically. Moreover, the usability of these values in the separation of perforated and non-perforated cases was emphasized.
Materials and methods
This study was conducted in compliance with the fundamentals of the Declaration of Helsinki and approval was acquired from the Fırat University Non-Interventional Research Ethics Board (Decision number: 06, Date: 22/11/2018). Records of 201 patients between the ages of 0–16 who were operated for AA between January 2017 and November 2018 in the pediatric surgery clinic of a university hospital were retrospectively analysed. The record form was created based on patient age, sex and the WBC, neutrophil and lymphocyte count, NLR, RDW, MPV, CRP and PCT values of the patients checked at the time of first admittance. Alvarado score was used as the clinical scoring system in the definition of AA (Table 1). Patients were divided into three groups according to the Alvarado score: Group 1; ≤4 points (low probability appendicitis), Group 2; 5–7 points (medium risk) and Group 3; 8–10 points (high risk). Moreover, the patients were histopathologically divided into two groups as AA and without appendicitis. Patients diagnosed with AA were subdivided into two groups as perforated (complicated) and non-perforated (noncomplicated). The patients who used antibiotics or were administered chemotherapy or steroids within the last 15 days due to any reason and those with diagnosed haematologic diseases were excluded from the study.
Alvarado score.
| Clinical findings | Score |
|---|---|
| Right lower quadrant tenderness | 2 |
| Leukocyte increase (>10,000/mm3) | 2 |
| Migration of pain to the right quadrant | 1 |
| Anorexia | 1 |
| Nausea–Vomiting | 1 |
| Rebound tenderness | 1 |
| Elevated temperature (>37.3 °C) | 1 |
| Leukocyte left shift (>75%) | 1 |
| Total | 10 |
Statistical analysis
Data were analysed using the IBM Statistical Package for Social Sciences v22 (SPSS, Inc., Chicago, IL, USA). Categorical variables were expressed as frequency and percentage. The variables were investigated analytic methods (Kolmogorov–Simirnov/Shapiro–Wilk’s test) to determine whether or not they are normally distributed. Those without normal distribution were expressed using median (interquartile range). The Mann–Whitney U test was applied to compare continuous variables. The cutoff values of NLR, RDW, CRP, PCT and Alvarado scale for predicting the need for acute appendicitis were determined with a receiver operating characteristic (ROC) analysis. ROC curves were generated by plotting the relationship of the true positivity (sensitivity) and the false positivity (1-specificity) at various cutoff points of the tests. The best cutoff for the ROC curve was calculated with the youden index (max (sensitivity + specificity − 1)). p values <0.05 were considered to be statistically significant for all analysis.
Results
Out of the 201 patients included in the study, 123 (61.2%) were male and 78 (38.8%) were female. The median age value was 12 (IQR:8–14) years. Histopathologic distribution of the patients according to the Alvarado score is presented in Table 2.
Distribution of the histopathological findings of patients according to the Alvarado score.
| Alvarado score | Histopathological findings | Total n (%) | ||
|---|---|---|---|---|
| Normal appendix, n (%) | Noncomplicated patients, n (%) | Complicated patient, n (%) | ||
| 0–4 | 9 (40.9%) | 11 (50%) | 2 (9.1%) | 22 (100%) |
| 5–7 | 4 (4.8%) | 58 (69%) | 22 (26.2%) | 84 (100%) |
| 8–10 | 2 (2.1%) | 38 (40%) | 55 (57.9%) | 95 (100%) |
| Total | 15 (7.5%) | 107 (53.2%) | 79 (39.3%) | 201 (100%) |
WBC, neutrophil, NLR and CRP values of patients histopathologically diagnosed with appendicitis were higher than those of patients without appendicitis (Table 3). Area under the ROC curve (AUC) and cutoff values for NLR, CRP, PCT and Alvarado score of the patients according to the ROC curve are presented in Table 4 and Figure 1.
Median values of the laboratory results of patients histopathologically with and without appendicitis and noncomplicated and complicated patients.
| Median values (IQR) | Normal appendix | Patients with appendicitis | p | Noncomplicated patients | Complicated patients | p |
|---|---|---|---|---|---|---|
| WBC (10e3/µL) | 8.3 (5.4–15.3) | 15.3 (11.6–18.8) | <0.001* | 15 (11–18.5) | 15.9 (11.9–19.1) | 0.134 |
| Lymphocyte counts (10e3/µL) | 1.74 (0.68–2.3) | 1.44 (0.88–2.05) | 0.724 | 1.58 (0.97–2.14) | 1.28 (0.77–1.75) | 0.105 |
| Neutrophile counts (10e3/µL) | 5.7 (3.2–12.9) | 12.7 (8.9–16) | <0.001* | 12.5 (8.6–15.9) | 13.4 (9.2–16.2) | 0.109 |
| NLR | 3.1 (1.6–11) | 9.77 (5.44–13.7) | 0.003* | 8.4 (4.5–13.8) | 11 (7.1–14.6) | 0.04* |
| RDW (%) | 13 (12.7–13.8) | 13.5 (12.9–14.1) | 0.700 | 13.2 (12.8–13.8) | 13.8 (13.3–14.5) | <0.001* |
| MPV (fL) | 8 (7.3–10.2) | 7.9 (7.5–8.5) | 0.536 | 7.9 (7.4–8.4) | 7.8 (7.5–8.6) | 0.795 |
| CRP (mg/L) | 6.2 (3.02–19.2) | 35.3 (12–126) | <0.001* | 17.6 (7.4–34.1) | 130 (79.2–193) | <0.001* |
| PCT (ng/mL) | 0.17 (0.1–0.32) | 0.24 (0.1–2.1) | 0.144 | 0.13 (0.1–0.22) | 2.55 (0.74–7.6) | <0.001* |
CRP, C-reactive protein; IQR, interquartile ranges; MPV, mean platelet volüme; NLR, neutrophil-to-lymphocyte ratio; PCT, procalcitonin; RDW, red cell distribution; WBC, white blood cells; *p < 0.05.
AUC and cut-off values for NLR, CRP, PCT and Alvarado score of patients histopathologically with and without appendicitis according to the ROC curve.
| AUC | Cut-off value | Sensitivity (%) | Specificity (%) | 95%CI | p | |
|---|---|---|---|---|---|---|
| NLR | 0.703 | 5.98 | 73 | 63.6 | 0.523–0.884 | 0.025* |
| CRP | 0.822 | 19.5 | 66 | 90.9 | 0.725–0.919 | <0.001* |
| PCT | 0.631 | 0.34 | 46.8 | 90.9 | 0.506–0.755 | 0.150 |
| Alvarado score | 0.754 | 5.5 | 83.7 | 54.5 | 0.578–0.930 | 0.05 |
AUC, area under the ROC curve; CI, confidence interval; CRP, C-reactive protein; NLR, neutrophil-to-lymphocyte ratio; PCT, procalcitonin; *p < 0.05.

ROC curves for NLR, CRP, PCT and Alvarado score of patients histopathologically with and without appendicitis.
NLR, RDW, CRP and PCT values of the complicated patients were higher compared with those of the noncomplicated ones (p<0.05, Table 3). WBC and neutrophil values of complicated patients were higher than those of noncomplicated patients. However, the difference was not statistically significant (p>0.05, Table 3). AUC and cutoff values for NLR, RDW, CRP, PCT and Alvarado score of patient groups according to the ROC curve are presented in Table 5 and Figure 2.
AUC and cut-off values for NLR, RDW, CRP, PCT and Alvarado score of noncomplicated and complicated patients according to the ROC curve.
| AUC | Cut-off value | Sensitivity (%) | Specificity (%) | 95%CI | p | |
|---|---|---|---|---|---|---|
| NLR | 0.583 | 6.61 | 82.8 | 43.4 | 0.488–0.678 | 0.094 |
| RDW | 0.715 | 13.35 | 65.5 | 66.3 | 0.628–0.802 | <0.001* |
| CRP | 0.900 | 62.95 | 82.8 | 89.2 | 0.842–0.958 | <0.001* |
| PCT | 0.865 | 0.225 | 91.4 | 75.9 | 0.799–0.930 | <0.001* |
| Alvarado score | 0.727 | 7.5 | 69 | 66.3 | 0.641–0.812 | <0.001* |
AUC, area under the ROC curve; CI, confidence interval; CRP, C-reactive protein; NLR, neutrophil-to-lymphocyte ratio; PCT, procalcitonin; *p < 0.05.

ROC curves for NLR, RDW, CRP, PCT and Alvarado score of noncomplicated and complicated patients.
Discussion
Although imaging methods are more easily accessible, there can be a delay in diagnosis at a rate of 30% [2]. It has been reported that a normal appendix is encountered at a rate reaching 15.7% among patients operated for AA [7]. In the present study, the male/female ratio was 1.57. The negative appendectomy rate was 7.5% (n=15). The existence of atypical symptoms and findings, especially among children, can cause delays in diagnosis, ultimately increasing morbidity and mortality [2]. Studies have reported on parameters such as NLR, MPV and RDW to increase the diagnostic accuracy rate in AA [].
It has been stated that NLR can be a better marker than neutrophil and CRP [8]. Different cutoff values have been emphasized in studies (1.77, 4, 5, 5.55) [7], [11], [12]. In literature, sensitivity and specificity were reported as 70.9% and 70–75% for NLR, respectively [11], [12]. In our study, sensitivity for the most appropriate NLR cutoff value according to the ROC curve was found compatible with that in the literature but specificity was found lower. When checked for noncomplicated and complicated cases, sensitivity and specificity were 73 and 52% in the literature [12]. In our study, sensitivity was higher and specificity was lower for the most appropriate NLR cutoff value according to the ROC curve in noncomplicated and complicated patients. NLR was statistically significant (p=0.025) for patients diagnosed with AA according to the ROC curve. NLR was not statistically significant for complicated cases according to the ROC curve (p=0.094). Thus, it was considered that although NLR contributes to the diagnosis of AA, it does not contribute to the distinction of complicated and noncomplicated cases.
In the conducted studies, it has been shown that RDW level changes in inflammatory intestinal diseases, acute pancreatitis, bacteraemia, sepsis and septic shock. Moreover, it was shown that there is a strong relationship between inflammatory markers such as RDW and CRP [13]. In a study conducted by Narci et al., it was reported that although RDW level was within the normal limits in a group with AA, it was significantly lower [10]. In a study conducted by Ertekin et al., it was reported that RDW level was higher among cases with AA than in the control group (p=0.012), but the difference was not statistically significant between the noncomplicated and complicated cases (p=0.94) [14]. In contrast, it has been reported that RDW does not have a significant value for AA diagnosis but significantly higher value for the complicated appendicitis group [9], [15]. In our study, although the median value of RDW was higher among the cases diagnosed with AA, it was not statistically significant (p=0.7); however, a high level of RDW for complicated cases was statistically significant (p<0.001). Increased RDW values are reported to be related to nutritional deficiencies [16]. Thus, the significant increase in the RDW value among the complicated cases may be related to the nutritional deficiency that is related to the loss of appetite continued for a longer duration compared with that for the noncomplicated cases. In our study, it was considered that the RDW value did not contribute to the early diagnosis of AA but was a supportive parameter in the determination of complicated cases with delayed diagnosis.
One of the thrombocyte indexes, MPV is a bioindicator related to thrombocyte activation and morphology [17]. MPV is the measurement of the average thrombocyte size in the peripheral blood. In this study, it was shown that there is a relationship between MPV and some inflammatory cases such as inflammatory intestinal diseases [17]. While it was reported that MPV decreases in AA [9], it was reported to increase in a different study [15]. In a study conducted by Uyanik et al., it was stated that MPV does not have a diagnostic value in pediatric AA cases [18]. In our study, MPV was not statistically significant in AA diagnosis (p=0.536) and the distinction of complicated cases (p=0.795).
CRP, the acute phase reactant, begins to increase between 8 and 12 h of inflammation and reaches its peak between 24 and 48 h [19]. In the conducted studies, a significant relationship was found between elevated CRP and AA diagnosis. Moreover, it was reported that CRP specificity is higher in complicated cases [20]. In literature, sensitivity and specificity were 50 and 80% for cases diagnosed with AA, respectively [21]. In our study, sensitivity and specificity were found higher compared with those in the literature (Table 4). Moreover, in literature, sensitivity and specificity were 85 and 73% for complicated cases, respectively [22]. While sensitivity was compatible with that in the literature, specificity was found to be higher in our study. CRP was significant in cases histopathologically diagnosed with AA and complicated cases (p<0.001). Thus, CRP is an effective bioindicator in the diagnosis of AA and in the distinction of noncomplicated–complicated cases.
Procalcitonin is an inflammatory bioindicator for which serum level does not change in cases of viral infections, autoimmune diseases and surgical trauma [23]. In a study conducted by Yu et al., it was reported that the highest accuracy rates in the diagnosis of AA lie with CRP, WBC and PCT [24]. PCT serum level may be low in the early stage of infection and in local infections [25]. In literature, sensitivity and specificity of PCT were reported to be 73.4 and 94.6% for the diagnosis of AA [26]. In our study, PCT level was not statistically significant for the diagnosis of AA (p=0.144). This may be due to the limitation of infection within the appendix tissue in noncomplicated cases. There are studies reporting that PCT has high sensitivity and specificity (62%, 94%, respectively) in the diagnosis of complicated appendicitis [24], [27]. In compliance with the literature, PCT level in this study was statistically significant in defining complicated cases (p<0.001). Thus, it was considered that PCT does not contribute to the diagnosis of AA but contributes to the distinction of complicated cases.
The limitations of the present study include its retrospective design and being a single-site study. Prospective and multi-site studies would enable acquisition of more accurate information.
In conclusion, NLR and CRP are bioindicators that can be used in addition to WBC and neutrophil dominance of laboratory parameters of the Alvarado score in the diagnosis of AA. CRP, PCT and RDW—despite its low sensitivity–specificity—are effective haematologic parameters in the distinction of complicated cases. MPV is not an effective parameter in the diagnosis of AA and in the distinction of complicated cases.
Research funding: None declared.
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Conflict of interest: The authors declare that they have no conflict of interest.
References
1. Adesunkanmi, AR, Ogunrombi, O. Unusual causes of acute abdomen in a Nigerian hospital. West Afr J Med 2003;22:264–6. https://doi.org/10.4314/wajm.v22i3.27963.Search in Google Scholar PubMed
2. Saraç, M, Bakal, Ü, Tartar, T, Kazez, A. Apandisitlerin perfore olmasında hekimlerin rolü. Fırat Tıp Dergisi 2014;19:126–9.Search in Google Scholar
3. Graff, L, Russell, J, Seashore, J, Tate, J, Elwell, A, Prete, M, et al. False-negative and false-positive errors in abdominal pain evaluation: failure to diagnose acute appendicitis and unnecessary surgery. Acad Emerg Med 2000;7:1244–55. https://doi.org/10.1111/j.1553-2712.2000.tb00470.x.Search in Google Scholar PubMed
4. Yıldız, T, Bozdağ, Z, Erkorkmaz Ü, Emre, A, Turgut, T, İlçe, Z. Çocuk apandisitlerinde risk faktörlerinin analizi. Ulus Travma Acil Cerr Derg 2013;19:554–8.10.5505/tjtes.2013.52059Search in Google Scholar PubMed
5. İnan, M, Tulay, SH, Besim, H, Karakaya, J. Akut apandisit tanısında ultrasonografinin yeri ve Alvarado skoru ile karşılaştırılması. Ulusal Cerrahi Dergisi 2011;27:149–53. https://doi.org/10.5097/1300-0705.UCD.1181-11.04.Search in Google Scholar
6. Nirajlal, B, Gabriel, R, Anand, R, Sohil, AK. Evaluation of Alvarado score in acute appendicitis: a prospective study. Internet J Surg 2007;9.10.5580/1ddeSearch in Google Scholar
7. Lee, SL, Waish, AJ, Ho, HS. Computed tomography and ultrasonography do not improve and may delay the diagnosis and treatment of acute appendicitis. Arch Surg 2001;136:556–62. https://doi.org/10.1001/archsurg.136.5.556.Search in Google Scholar PubMed
8. Markar, SR, Karthikesalingam, A, Falzon, A, Kan, Y. The diagnostic value of neutrophil: lymphocyte ratio in adults with suspected acute appendicitis. Acta Chir Belg 2010;110:543–7. https://doi.org/10.1080/00015458.2010.11680673.Search in Google Scholar
9. Tanrikulu, CS, Tanrikulu, Y, Sabuncuoglu, MZ, Karamercan, MA, Akkapulu, N, Coskun, F. Mean platelet volume and red cell distribution width as a diagnosis marker in acute appendicitis. Iran Red Crescent Med J 2014;16:e10211. https://doi.org/10.5812/ircmj.10211.Search in Google Scholar PubMed PubMed Central
10. Narci, H, Turk, E, Karagulle, E, Togan, T, Karabulut, K. The role of red cell distribution width in the diagnosis of acute appendicitis: a retrospective case-controlled study. World J Emerg Surg 2013;8:46–52. https://doi.org/10.1186/1749-7922-8-46.Search in Google Scholar PubMed PubMed Central
11. Kapçı, M, Türkdoğan, KA, Duman, A, Avcil, M, Gülen, B, Küçükdağlı, ÖT, et al. Biomarkers in the diagnosis of acute appendicitis. J Clin Exp Invest 2014; 5:250–5.10.5799/ahinjs.01.2014.02.0397Search in Google Scholar
12. Khan, A, Riaz, M, Michael, EK, Khan, W, Waldron, R, Barry, K, et al. Prospective validation of neutrophil-to-lymphocyte ratio as a diagnostic and management adjunct in acute appendicitis. Ir J Med Sci 2018;187:379–84. https://doi.org/10.1007/s11845-017-1667-z.Search in Google Scholar PubMed
13. Sadaka, F, O´Brien, J, Prakash, S. Red cell distribution width and outcome in patients with septic shock. J Intensive Care Med 2013;28:307–13. https://doi.org/10.1177/0885066612452838.Search in Google Scholar PubMed
14. Ertekin, B, Kara, H, Erdemir, E, Doğan, E, Acar, T, Demir, LS. Efficacy of use of red cell distribution width as a diagnostic marker in acute appendicitis. Eur J Emerg Med 2017;16:29–33. https://doi.org/10.5152/eajem.2017.75047.Search in Google Scholar
15. Aktimur, R, Cetinkunar, S, Yildirim, K, Ozdas, S, Aktimur, SH, Gokakin, AK. Mean platelet volüme is a significant biomarker in the differential diagnosis of acute appendicitis. Inflamm Cell Sig 2015;2:e930. https://doi.org/10.14800/ics.930.Search in Google Scholar
16. Kho, AN, Hui, S, Kesterson, JG, McDonald, CJ. Which observations from the complete blood cell count predict mortality for hospitalized patients? J Hosp Med 2007;2:5–12. https://doi.org/10.1002/jhm.143.Search in Google Scholar PubMed PubMed Central
17. Thachil, J. Platelets in inflammatory disorders: a patho-physiological and clinical perspective. Semin Thromb Hemost 2015;41:572–81. https://doi.org/10.1055/s-0035-1556589.Search in Google Scholar PubMed
18. Uyanik, B, Kavalci, C, Arslan, ED, Yılmaz, F. Role of mean platelet volüme in diagnosis of childhood acute appendicitis. Emerg Med Int 2012;2012:823095. https://doi.org/10.1155/2012/823095.Search in Google Scholar PubMed PubMed Central
19. Wu, HP, Lin, CY, Chang, CF, Chang, YJ, Huang, CY. Predictive value of C-reactive protein at different cutoff levels in acute appendicitis. Am J Emerg Med 2005;23:449–53. https://doi.org/10.1016/j.ajem.2004.10.013.Search in Google Scholar PubMed
20. Al-Abed, YA, Alobaid, N, Myint, F. Diagnostic markers in acute appendicitis. Am J Surg 2015;209:1043–7. https://doi.org/10.1016/j.amjsurg.2014.05.024.Search in Google Scholar PubMed
21. Cesur, Ö, Benli, AR, Koyuncu, M. Çocukluk çağı apandisit olgularında laboratuvar testlerinin analizi. Konuralp Tıp Derg 2016;8:5–8. https://doi.org/10.18521/ktd.76069.Search in Google Scholar
22. Shogilev, DJ, Duus, N, Odom, SR, Shapiro, NI. Diagnosing appendicitis: evidence-based review of the diagnostic approach in 2014. West J Emerg Med 2014;24:67–9. https://doi.org/10.5811/westjem.2014.9.21568.Search in Google Scholar PubMed PubMed Central
23. Paik, SY, Oh, JT, Choi, YJ, Kwon, KW, Yang, WI. Measles-related appendicitis. Arch Pathol Lab Med 2002;126:82–4.10.5858/2002-126-0082-MRASearch in Google Scholar PubMed
24. Yu, CW, Juan, LI, Wu, MH, Shen, CJ, Wu, JY, Lee, CC. 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 2013;100:322–9. https://doi.org/10.1002/bjs.9008.Search in Google Scholar PubMed
25. Lee, H. Procalcitonin as a biomarker of infectious diseases. Korean J Intern Med 2013;28:285–91. https://doi.org/10.3904/kjim.2013.28.3.285.Search in Google Scholar PubMed PubMed Central
26. Kafetzis, DA, Velissariou, IM, Nikolaides, P, Sklavos, M, Maktabi, M, Spyridis, G, et al. Procalcitonin as a predictor of severe appendicitis in children. Eur J Clin Microbiol Infect Dis 2005;24:484–7. https://doi.org/10.1007/s10096-005-1360-4.Search in Google Scholar PubMed
27. Mengücük, ME, Ayten, R, Bülbüller, N, Gödekmerdan, A, Başbuğ, M, Mungan, İ. Akut apandisit tanısında serum C-reaktif protein, prokalsitonin ve neopterinin yeri. Fırat Tıp Dergisi 2010;15:40–3.Search in Google Scholar
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- Research Articles
- Atypical cells in sysmex UN automated urine particle analyzer: a case report and pitfalls for future studies
- Investigation of the relationship cellular and physiological degeneration in the mandible with AQP1 and AQP3 membrane proteins
- In vitro assessment of food-derived-glucose bioaccessibility and bioavailability in bicameral cell culture system
- Letter to the Editor
- The weighting factor of exponentially weighted moving average chart
Articles in the same Issue
- Frontmatter
- Review Article
- Newly developed diagnostic methods for SARS-CoV-2 detection
- Short Communication
- Effect of hemolysis on prealbumin assay
- Research Articles
- BioVar: an online biological variation analysis tool
- High dose ascorbic acid treatment in COVID-19 patients raised some problems in clinical chemistry testing
- Immunoassay biomarkers of first and second trimesters: a comparison between pregnant Syrian refugees and Turkish women
- Association of maternal serum trace elements with newborn screening-thyroid stimulating hormone
- PIK3CA and TP53 MUTATIONS and SALL4, PTEN and PIK3R1 GENE EXPRESSION LEVELS in BREAST CANCER
- Evaluation of E2F3 and survivin expression in peripheral blood as potential diagnostic markers of prostate cancer
- Age, gender and season dependent 25(OH)D levels in children and adults living in Istanbul
- Original Article
- Fractional excretion of magnesium as an early indicator of renal tubular damage in normotensive diabetic nephropathy
- Research Articles
- Diagnostic value of laboratory results in children with acute appendicitis
- Evaluation of thiol disulphide levels in patients with pulmonary embolism
- Relationship between renal tubulointerstitial fibrosis and serum prolidase enzyme activity
- Comparison of test results obtained from lithium heparin gel tubes and serum gel tubes
- MHC Class I related chain A (MICA), Human Leukocyte Antigen (HLA)-DRB1, HLA-DQB1 genotypes in Turkish patients with ulcerative colitis
- An overview of procalcitonin in Crimean-Congo hemorrhagic fever: clinical diagnosis, follow-up, prognosis and survival rates
- Comparison of different equations for estimation of low-density lipoprotein (LDL) – cholesterol
- Case-Report
- A rare case of fructose-1,6-bisphosphatase deficiency: a delayed diagnosis story
- Research Articles
- Atypical cells in sysmex UN automated urine particle analyzer: a case report and pitfalls for future studies
- Investigation of the relationship cellular and physiological degeneration in the mandible with AQP1 and AQP3 membrane proteins
- In vitro assessment of food-derived-glucose bioaccessibility and bioavailability in bicameral cell culture system
- Letter to the Editor
- The weighting factor of exponentially weighted moving average chart