In this study, the success and reliability of SIII in the diagnosis of AA and prediction of complicated AA were evaluated. In addition, the results obtained were compared with the diagnostic value of NLR.
In the literature, it has been reported that NLR has a significant predictive value in the diagnosis of AA. (14–16). Eun et al. stated that in addition to its diagnostic value, NLR can be used to decide which imaging technique to be used in diagnostically in-between patients. (16). In the results of our study, it was seen that the diagnostic value of SIII for AA was significantly higher than NLR. However, in our study, NLR was found to have higher valence in predicting complicated AA. Şener et al. reported that SIII is a significant predictive value in the diagnosis of AA. In this context, our study supports the study data of Şener et al. (17) and the results of the studies reporting the value of NLR in the diagnosis of AA in the literature (14–16).
Many scoring systems have been designed and developed to reduce the rate of negative appendectomy and to increase the rate of a positive diagnosis of appendicitis (18). Among these, “Alvarado Scoring” is a comprehensive scoring system developed by Alvarado in 1986 and provides practical diagnostic support in the interpretation of the diagnosis of AA (19). In addition, in a study by Reddy et al, it has been reported that the use of AS prevents false-negative surgery in patients applied to emergency clinics with clinical findings of AA (20). Another scoring system is AAS. Sammalkorpi et al. reported that AAS predicts AA more reliably than AS and clinical surgery decision (21). However, there is little explanation for a clear distinction in the guidelines in distinguishing between complicated AA and uncomplicated AA cases (22,23). In the literature, it has been mentioned in several studies that complicated and uncomplicated AA can be distinguished by using the Alvarado score (24,25). Besides these studies, Atema et al. reported that they developed appendicitis severity scoring systems that combine both clinical and biochemical features and reported that they distinguish complicated AA with high sensitivity. (26). In our study, we compared SIII, NLR, AAS and AS index and scoring systems in estimating complicated AA, and according to the results; SIII, NLR, AAS, and AS were found to be significantly valuable in the diagnosis of complicated AA. In the ROC analysis results, we found that NLR had the highest AUC value over SIII, AAS, and AS in estimating complicated AA. Whereas secondly; SIII was found to have higher AUC value than AAS and AS. In this context, considering the success of AS and AAS at predicting AA level in the literature, we think that SIII is a usable index.
Peritonitis is a clinical condition that may occur in complicated AA cases. The clinical situation is worse in cases with peritonitis, and it causes prolongation in the medical treatment plan and length of stay both preoperatively and postoperatively. For this reason, conditions that cause peritonitis such as perforation should be diagnosed in the early period and their treatment should be started. In fact, some researchers report that negative AA operation is acceptable to avoid delays considering the risk of peritonitis development. (27). Again, according to the study of Schietroma et al., in cases with peritonitis, higher neutrophil count and acute phase reactant levels were detected, and these levels were higher in laparotomy cases than in laparoscopic cases (28). In the results of our study, SIII and NLR were found to be significantly higher in cases with peritonitis compared to cases with local peritonitis and without peritonitis. Also, it was observed that it was higher in cases with local peritonitis compared to cases without peritonitis. Therefore, in cases with very high SIII and NLR (cut off for SIII: 2068.61; AUC: 0.845; 95% CI: 0.766–0.925; p < 0.001; cut off for NLR: 6.00; AUC: 0.862; 95% CI: 0.82–0.941; p < 0.001) considering peritonitis is crucial. In this context, more studies are needed to generalize our study data.