The aim of this study was to determine whether implementing ERAS (Enhanced Recovery After Surgery) elements/protocols improves outcomes in orthognathic surgery (OGS) compared to conventional care. To achieve this, ERAS-specific perioperative elements were identified and literature on ERAS for OGS was systematically reviewed. Using PRISMA methodology and GRADE approach, 44 studies with 49 perioperative care elements (13 pre-, 15 intra-, 21 postoperative) were analyzed. While 39 studies focused on single elements, only five presented multimodal protocols, with three related to ERAS. Preoperative elements included antimicrobial and steroid prophylaxis and prevention of postoperative nausea and vomiting. Intraoperative aspects, especially anesthesiological, showed high evidence. Outcome parameters were heterogeneous: complications and postoperative pain were well-investigated with high evidence, while length of stay (LOS) and patient satisfaction received low to medium evidence. ICU LOS, healthcare costs, and readmission rates were underreported. The meta-analysis revealed significant results for pain reduction and trends towards fewer complications and shorter LOS in the ERAS group. Overall, ERAS protocols are not established in OMFS, particularly OGS. Further research is needed in pre- and postoperative care and standardized multimodal analgesia. The next step should be developing a comprehensive OGS protocol through a consensus conference and implementing it in clinical practice.

BACKGROUND: Crowding has been a longstanding issue in emergency departments. To address this, a fast-track system for avoidable patients is being implemented in the Paediatric Emergency Department where our study is conducted. Our goal is to develop an optimized Decision Support System that helps in directing patients to this fast track. We evaluated various Machine Learning models, focusing on a balance between complexity, predictive performance, and interpretability.
METHODS: This is a retrospective study considering all visits to a university-affiliated metropolitan hospital\'s PED between 2014 and 2019. Using information available at the time of triage, we trained several models to predict whether a visit is avoidable and should be directed to a fast-track area.
RESULTS: A total of 507,708 visits to the PED were used in the training and testing of the models. Regarding the outcome, 41.6% of the visits were considered avoidable. Except for the classification made by triage rules, i.e. considering levels 1,2, and 3 as non-avoidable and 4 and 5 as avoidable, all models had similar results in model\'s evaluation metrics, e.g. Area Under the Curve ranging from 74% to 80%.
CONCLUSIONS: Regarding predictive performance, the pruned decision tree had evaluation metrics results that were comparable to the other ML models. Furthermore, it offers a low complexity and easy to implement solution. When considering interpretability, a paramount requisite in healthcare since it relates to the trustworthiness and transparency of the system, the pruned decision tree excels. Overall, this paper contributes to the growing body of research on the use of machine learning in healthcare. It highlights practical benefits for patients and healthcare systems of the use ML-based DSS in emergency medicine. Moreover, the obtained results can potentially help to design patients\' flow management strategies in PED settings, which has been sought as a solution for addressing the long-standing problem of overcrowding.

BACKGROUND: The frequency of hip and knee arthroplasty surgeries has been rising steadily in recent decades. This trend is attributed to an aging population, leading to increased demands on healthcare systems. Fast Track (FT) surgical protocols, perioperative procedures designed to expedite patient recovery and early mobilization, have demonstrated efficacy in reducing hospital stays, convalescence periods, and associated costs. However, the criteria for selecting patients for FT procedures have not fully capitalized on the available patient data, including patient-reported outcome measures (PROMs).
METHODS: Our study focused on developing machine learning (ML) models to support decision making in assigning patients to FT procedures, utilizing data from patients\' self-reported health status. These models are specifically designed to predict the potential health status improvement in patients initially selected for FT. Our approach focused on techniques inspired by the concept of controllable AI. This includes eXplainable AI (XAI), which aims to make the model\'s recommendations comprehensible to clinicians, and cautious prediction, a method used to alert clinicians about potential control losses, thereby enhancing the models\' trustworthiness and reliability.
RESULTS: Our models were trained and tested using a dataset comprising 899 records from individual patients admitted to the FT program at IRCCS Ospedale Galeazzi-Sant\'Ambrogio. After training and selecting hyper-parameters, the models were assessed using a separate internal test set. The interpretable models demonstrated performance on par or even better than the most effective \'black-box\' model (Random Forest). These models achieved sensitivity, specificity, and positive predictive value (PPV) exceeding 70%, with an area under the curve (AUC) greater than 80%. The cautious prediction models exhibited enhanced performance while maintaining satisfactory coverage (over 50%). Further, when externally validated on a separate cohort from the same hospital-comprising patients from a subsequent time period-the models showed no pragmatically notable decline in performance.
CONCLUSIONS: Our results demonstrate the effectiveness of utilizing PROMs as basis to develop ML models for planning assignments to FT procedures. Notably, the application of controllable AI techniques, particularly those based on XAI and cautious prediction, emerges as a promising approach. These techniques provide reliable and interpretable support, essential for informed decision-making in clinical processes.

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BACKGROUND: Upper-tight tourniquet is widely used in Total Knee Arthroplasty in different modalities. However, it has been associated with a negative impact on post-operative muscle strength end pain. This study aimed to investigate the effect of tourniquet on post-operative pain and recovery in enhanced recovery joint surgery.
METHODS: In this prospective randomized study, we included 116 patients undergoing to TKA. Surgery was performed with a staged use of tourniquet in Group A (58 patients) and without tourniquet in Group B. In the former group a low-pressure tourniquet was deflated after bone cuts to allow hemostasis of posterior recess and re-inflated for cementation. For all patients a multimodal fast-track recovery protocol was used. Time to reach rehabilitation milestones was recorded as primary endpoint. Range of motion, pain, hemarthrosis, total blood loss, surgical field visualization, Knee Score (KS) and Oxford Knee Score (OKS) were considered as secondary outcomes.
RESULTS: . No statistically significant differences were found (group B: average 1.3 ± 0.6 day; group A: average 1.2 ± 0.5 day). Group A had a shorter mean surgical time and a clearer surgical field visualization. Group B had a larger estimated blood loss and hemoglobin drop without a statistically significant difference in the transfusion rate. No differences between the groups were seen in the KS, OKS and range of motion (ROM) and post-operative joint swelling. Pain score was similar between cohorts and recorded thigh pain was surprisingly greater in group B.
CONCLUSIONS: The use of tourniquet in TKA surgery helps to minimize intraoperative blood loss and improves surgical field visualization. Its application with a modern and staged protocol does not affect the functional outcomes (OKS, KSS, ROM) of the early post operative period without compromising the fast-track recovery.

The introduction into the clinical practice of the navigator nurse (NaNu) to address the task of counseling and short term follow-up help the effective implementation of the fast track protocol. The aim of the present study was to investigate the impact of the standardization of the NaNu\'s role in patients undergoing liver surgery.
Patients undergoing elective liver surgery for all diagnosis and approach, from 2015, received counseling and postoperative follow-up by NaNu and constituted the study group (n = 890). This group was compared with the control group (n = 712) including patients treated in the era before the implementation of the NaNu role (2011-2014). Outcome was evaluated in terms of discrepancy between functional recovery and discharge, number of ER accesses, number of readmissions.
Preoperative characteristics of patients and disease, as well as type of resection and postoperative outcomes were similar between the two groups. The proportion of laparoscopic cases was higher in the study group (51.2% vs. 32% in the control). Time for discharge, interval between functional recovery and discharge, number of ER accesses and number of readmissions were reduced in the study group. Benign diagnosis, absence of complications, laparoscopic approach and presence of NaNu were independent predictors of shorter length of stay. The positive effect of NaNu\'s activation was recorded in patients with complications and undergoing open surgery.
The implementation of NaNu\'s role has allowed to us optimize the level of healthcare service offered to patients. The wider benefit was offered in the setting of complex patients.

UNASSIGNED: Enhanced recovery after surgery (ERAS) protocols in thoracic surgery have been demonstrated to impact length of stay (LOS), complication rates, and postoperative opioid use. However, ERAS protocols for minimally invasive lung resections have not been well described. Given most lung resections are now performed minimally invasively, there is a gap in the literature regarding the efficacy of ERAS protocols in this setting. In this study, we analyzed patient outcomes following implementation of an ERAS protocol for minimally invasive lung resections.
UNASSIGNED: Outcome data was retrospectively collected for 442 patients undergoing minimally invasive lung resections between January 1st, 2015 and October 26th, 2021. Patients were divided into either a pre-ERAS (n=193) or ERAS (n=249) group. Primary outcomes included LOS, postoperative complications, intensive care unit (ICU) admission status, 30-day hospital readmissions, and 30-day mortality. Secondary outcomes included common postoperative complications required for the Society for Thoracic Surgeons (STS) database.
UNASSIGNED: We observed an overall decrease in median LOS (4.0 vs. 3.0 days, P=0.030) and ICU admission status (15% vs. 7.6%, P=0.020) after implementation of our ERAS protocol. The difference in LOS was significantly lower for anatomic lung resections, but not non-anatomic resections. There was no difference in 30-day readmissions and a 0% mortality rate in both groups. Overall, there was a low complication rate that was similar between groups.
UNASSIGNED: The implementation of an ERAS protocol led to decreased LOS and decreased ICU admission in patients undergoing minimally invasive lung resection. Process standardization optimizes performance by providers by decreasing decision fatigue and improving decision making, which may contribute to the improved outcomes observed in this study.

OBJECTIVE: This literature review aims to present evidence-based clinical recommendations for the eight most debated topics related to perioperative management in total knee arthroplasty: counselling, prehabilitation, transfusion risk, tranexamic acid, drainage, analgesia, urinary catheter and compression stockings.
METHODS: A multidisciplinary team conducted a systematic review on these topics. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for the literature review and result presentation. The research encompassed articles from 1 January 2009 to 28 February 2023, retrieved through the MEDLINE database via PubMed, Embase database and Cochrane Library.
RESULTS: Forty-five articles were selected. Preoperative counselling has limited evidence for its impact on postoperative outcomes; yet, it can help alleviate surgery-related anxiety and manage postoperative symptoms. Prehabilitation can also prepare patients for surgery, reducing hospital stays and improving postsurgery functionality. Numerous studies suggest that preoperative Hb levels are independently linked to transfusion risk, with a recommended level of 13 g/dL. Combining intravenous and local tranexamic acid administration is strongly advised to reduce perioperative blood loss, while drainage after primary total knee arthroplasty offers no functional advantages. Employing a multimodal analgesia approach yields better results with reduced opioid usage. Indwelling urinary catheters provide no benefit and avoiding them can lower the risk of urinary tract infections. As for compression stockings, there is insufficient evidence in the literature to support their efficacy in preventing venous thromboembolism.
CONCLUSIONS: The best-track protocol has demonstrated its efficacy in reducing hospitalisation time and perioperative/postoperative complications. It is success relies on a collaborative, resource-adaptive approach led by a multidisciplinary team. Both patients and hospitals benefit from this approach, as it enhances care quality and lowers costs. Several studies have highlighted the significance of a patient-centred approach in achieving high-quality care. Creating a novel treatment protocol could be a prospective goal in the near future.
METHODS: Level III.

The combination of a reduction in surgical trauma in unicondylar knee arthroplasty compared to total knee arthroplasty and the introduction of a standardised enhanced recovery concept leads to a pre-, peri- and postoperative improvement in the patient\'s condition, which results in a reduction of the length of stay in hospital. In healthy, motivated patients, day-case or outpatient surgical treatment is possible under these circumstances.
UNASSIGNED: Die Kombination aus einer Reduktion des operativen Traumas bei unikondylären Knieendoprothesen im Vergleich zur Vollprothese und der Einführung eines standardisierten Enhanced-Recovery-Konzepts führt zu einer prä-, peri- und postoperativen Verbesserung der Konstitution der Patienten. Als eine weitere positive Konsequenz ist ein Rückgang der stationären Verweildauer zu verzeichnen. Bei gesunden und motivierten Patienten bietet sich die tagesstationäre, bzw. ambulante operative Versorgung an.