Early prediction and diagnosis of perforation in acute appendicitis allow surgeons to choose the most appropriate treatment. The purpose of this study is to evaluate whether pre-operative routine laboratory examinations have a role in predicting complicated acute appendicitis. In the study, 783 patients operated with the diagnosis of acute appendicitis between the years 2014 and 2019 were analyzed retrospectively. Among the patients with non-perforated and perforated acute appendicitis, pre-operative laboratory tests include leukocyte (WBC), neutrophil, lymphocyte, platelet (PLT), mean platelet volume (MPV), platelet distribution width (PDW), C-reactive protein (CRP), and neutrophil-to-lymphocyte rate (NLR) parameters were compared. Appendicitis was not detected histopathologically in 81 cases. In the study, 89.9% (n=631) of the 702 patients were non-perforated and 10.1% (n=71) were perforated acute appendicitis cases. Perforation rate was higher in elderly patients (p<0.01). It was seen that lymphocyte count was significantly lower in the perforated group, and CRP and NLR were significantly higher (p=0.048, p=0.001, p=0.028, respectively). In the diagnosis of perforated acute appendicitis, cutoff values were 44.0 mg/dL for CRP, 7.65 for NLR and 1.7/mm³ for lymphocytes. There was no statistical difference between the groups in terms of WBC, neutrophil, PLT, MPV, and PDW values. Low lymphocyte count, high CRP, and high NLR were found to be reliable and strong predictive parameters in the diagnosis of complicated acute appendicitis.

Introduction: Colonic lipomas are benign tumors of adipose tissue that are often asymptomatic, but they may present with rectal bleeding or obstructive symptoms. These tumors are unique in that they are rarely encountered within the gastrointestinal system and can mimic malignant tumors in appearance. Surgical resection and endoscopic removal of tumors have been shown to be successful in their management. Patient concerns: In this report, we present 3 cases of colonic lipomas, 2 of which are located in the cecum and the other within the sigmoid colon. The presenting symptoms of the patients included abdominal pain, constipation, and dyspepsia. Diagnosis: Patients typically presented with anemia and an elevated C-reactive protein count. Colonoscopic and computerized tomography findings were used for diagnosis. Interventions: Hemicolectomy was performed, depending on the localization, and the pathologic specimens were consistent with lipoma. Outcomes: Surgical resection was curative in all patients. The postoperative period was uneventful in all patients and all patients are symptom-free and alive at 3 years follow-up. Conclusion: Colonic lipomas are benign mesenchymal tumors of the gastrointestinal system with a male predominance and are observed within the fourth to sixth decades of life. Various genetic abnormalities have been reported and they have been linked to the formation of intussusception. The squeeze sign on radiological imaging, cushion sign and tenting sign in colonoscopy, and naked fat sign during pathologic examination is helpful towards reaching a diagnosis. Surgical resection is the treatment of choice but minimally invasive endoscopic approaches have also been shown to be successful.

Introduction: Extranodal lymphomas are commonly encountered in the gastrointestinal tract but lymphomas of colon and rectum are rare. Non-Hodgkin lymphoma is the most common type of colonic lymphoma and represents less than 0.5% of colorectal neoplasms. Chemotherapeutical agents are gateway to disease remission and sometimes cure in most patients but surgery may be necessary in emergent situations. Case presentation: A 77-year-old male patient presented with abdominal discomfort, constipation, and obstructive defecation symptoms. Radiological imaging revealed a mass in the sigmoid colon extending towards the rectum. Colonoscopy was performed and biopsy of a nearly 10 cm ulcerovegetative lesion was obtained. Histological examination following biopsy revealed it to be a diffuse large B-cell lymphoma of the sigmoid colon. There was no indication for surgery and the patient was referred to medical oncology clinic for chemotherapy treatment. Discussion: Non-Hodgkin lymphoma is a lymphoproliferative disorder with the diffuse large B cell lymphoma (DLBCL) being the most common subtype. The DLBCL subtype is rarely observed in the colon and rectum. Chromosomal abnormalities are involved in the pathophysiology and gene rearrangements lead to adjustments in lymphocyte function and differentiation. Conclusion: In this case report, we present a rare presentation of a Non-Hodgkin lymphoma presenting in the sigmoid colon. The disease can present with nonspecific symptoms and various imaging modalities along with histopathological evaluation is necessary for the correct subtyping of lymphoma. Chemoradiotherapy is key for treatment, and surgery is usually reserved for cases of obstruction, perforation, or bleeding. Highlights:

Risk assessment is difficult yet would provide valuable data for both the surgeons and the patients in major hepatobiliary surgeries. An ideal risk calculator should improve workflow through efficient, timely, and accurate risk stratification. The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) surgical risk calculator (SRC) and Portsmouth Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (P-POSSUM) are surgical risk stratification tools used to assess postoperative morbidity. In this study, preoperative data from 300 patients undergoing major hepatobiliary surgeries performed at a single tertiary university hospital were retrospectively collected from electronic patient records and entered into the ACS-SRC and P-POSSUM systems, and the resulting risk scores were calculated and recorded accordingly. The ACS-NSQIP-M1 (C-statistics = 0.725) and M2 (C-statistics = 0.791) models showed better morbidity discrimination ability than P-POSSUM-M1 (C-statistics = 0.672) model. The P-POSSUM-M2 (C-statistics = 0.806) model showed better differentiation success in morbidity than other models. The ACS-NSQIP-M1 (C-statistics = 0.888) and M2 (C-statistics = 0.956) models showed better mortality discrimination than P-POSSUM-M1 (C-statistics = 0.776) model. The P-POSSUM-M2 (C-statistics = 0.948) model showed better mortality differentiation success than the ACS-NSQIP-M1 and P-POSSUM-M1 models. The use of ACS-SRC and P-POSSUM calculators for major hepatobiliary surgeries offers quantitative data to assess risks for both the surgeon and the patient. Integrating these calculators into preoperative evaluation practices can enhance decision-making processes for patients. The results of the statistical analyses indicated that the P-POSSUM-M2 model for morbidity and the ACS-NSQIP-M2 model for mortality exhibited superior overall performance.