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Simple Summary: This study aimed to predict the Length of hospital Stay (LoS) after laparoscopic right hemicolectomy for colon cancer using machine learning techniques. Accurately forecasting LoS is crucial for improving patient care and hospital resource management. The researchers utilized data from two large Italian studies, CoDIG 1 and CoDIG 2, to train and validate various machine learning models. The Random Forest (RF) algorithm demonstrated the best internal performance, while the Support Vector Machine (SVM) outperformed in external validation. Key factors influencing LoS included the use of fast-track protocols, type of anastomosis, and drainage. These findings could help tailor postoperative care and optimize hospital resources, ultimately enhancing patient outcomes and operational efficiency. The evolution of laparoscopic right hemicolectomy, particularly with complete mesocolic excision (CME) and central vascular ligation (CVL), represents a significant advancement in colon cancer surgery. The CoDIG 1 and CoDIG 2 studies highlighted Italy's progressive approach, providing useful findings for optimizing patient outcomes and procedural efficiency. Within this context, accurately predicting postoperative length of stay (LoS) is crucial for improving resource allocation and patient care, yet its determination through machine learning techniques (MLTs) remains underexplored. This study aimed to harness MLTs to forecast the LoS for patients undergoing right hemicolectomy for colon cancer, using data from the CoDIG 1 (1224 patients) and CoDIG 2 (788 patients) studies. Multiple MLT algorithms, including random forest (RF) and support vector machine (SVM), were trained to predict LoS, with CoDIG 1 data used for internal validation and CoDIG 2 data for external validation. The RF algorithm showed a strong internal validation performance, achieving the best performances and a 0.92 ROC in predicting long-term stays (more than 5 days). External validation using the SVM model demonstrated 75% ROC values. Factors such as fast-track protocols, anastomosis, and drainage emerged as key predictors of LoS. Integrating MLTs into predicting postoperative LOS in colon cancer surgery offers a promising avenue for personalized patient care and improved surgical management. Using intraoperative features in the algorithm enables the profiling of a patient's stay based on the planned intervention. This issue is important for tailoring postoperative care to individual patients and for hospitals to effectively plan and manage long-term stays for more critical procedures. [ABSTRACT FROM AUTHOR]

Purpose: Leaks after sleeve gastrectomy remain a deadly complication significantly affecting outcomes and medical costs. The aim of the present review is to provide an updated decalogue on leak prevention. Methods: Risk factors of leakage after LSG were examined based on an extensive review of literature (in period time 2016–2024) and summary of evidence was provided using Oxford levels of evidence scale. Results: Pathogenesis of leakage after LSG still remain related to ischemic and mechanical factors and, therefore, no new evidence has been reported. Conversely, some technical aspect of the procedure has changed: bougie size, antrum resection, staple line reinforcement, and intraoperative leak testing. Conclusions: Bougie size 36 F is effective and safe achieving similar leakage rate compared to larger bougie sizes (EL:2) 2024 UPDATE; There is no significant difference in the leak rate between restrictive (< 6 cm) and conservative (6 cm) antrum resection (EL: 1) 2024 UPDATE; Surgical experience and case volume affect the leak rate more consistently than every kind of SLR (EL: 2) 2024 UPDATE; Intraoperative leak test after LSG represents a decision based on surgeon preference in absence of standardization (endoscopy, bubble test, methylene blue, indocyanine green.) and strong detection/prevention rate (EL: 3) 2024 UPDATE. [ABSTRACT FROM AUTHOR]

Purpose: Emergency treatment of acute diverticulitis remains a hazy field. Despite a number of clinical studies, randomized controlled trials (RCTs), guidelines and surgical societies recommendations, the most critical hot topics have yet to be addressed. Methods: Literature research from 1963 until today was performed. Data regarding the principal RCTs and observational studies were summarized in descriptive tables. In particular we aimed to focus on the following topics: the role of laparoscopy, the acute care setting, the RCTs, guidelines, observational studies and classifications proposed by literature, the problem in case of a pandemic, and the importance of adapting treatment /place/surgeon conditions. Results: In the evaluation of these points we did not try to find any prospective evolution of the concepts achievements. On the contrary we simply report the individuals strands of research from a retrospective point of view, similarly to what Steve Jobes said: "you can't connect the dots looking forward; you can only connect them looking backwards. So you have to trust that the dots will somehow connect in your future". We have finally obtained what can be defined "a narrative review of the literature on diverticulitis". Conclusions: Not only evidence-based medicine but also the contextualization, as also the role of 'competent' surgeons, should guide to novel approach in acute diverticulitis management. [ABSTRACT FROM AUTHOR]

Background: The aim of this study was to analyze short-term outcomes focusing on readmissions after laparoscopic bariatric metabolic surgery (BMS) in an Italian academic Bariatric Center of Excellence IFSO-European Chapter (EC)., Methods: This is a retrospective study based on the analysis of a prospectively maintained institutional database. Patients aged between 18 and 65 years who underwent primary BMS and/or revisional BMS (RBMS) between 2012 and 2021 were included. Primary endpoint was to analyze the readmission rate at 30 postoperative days. The secondary endpoint involved assessing the causes of readmission within 30 days of discharge, the rates, and types of reoperations and/or additional procedures related to the first surgery, and the outcomes of readmitted patients., Results: A total of 2297 patients were included in the study. Among them, 2143 underwent primary surgery and 154 patients underwent RBMS. Eighty-two percent of the Enhanced Recovery after Surgery (ERAS) protocol items were applied starting from 2016. Within 30 days after discharge, 48 patients (2.09%) were readmitted. Overall readmission rate following primary and revisional BMS was 2.15%, respectively 1.30%. Ten readmitted patients (20.8%) had complications graded IIIb or more (Clavien-Dindo classification) and needed additional procedures. Mortality rate was 4.17% among readmitted patients., Conclusions: Only 2.09% of patients undergoing laparoscopic bariatric surgery were readmitted. Of these, 20.8% required additional procedures. Standardization of surgical techniques and perioperative protocols in a bariatric center of excellence resulted in a low readmission rate even in RBMS.