Impact of Patient- and Surgeon-Related Factors on Weight Loss after Laparoscopic Sleeve Gastrectomy-A Single-Center Study.

Background and Objectives: Surgical treatment for obesity is becoming increasingly popular. Surgeons have been trying to find a simple way to predict the type of surgical intervention that is best for a specific patient. This study aimed to determine the patient- and surgeon-related factors that affect weight loss after laparoscopic sleeve gastrectomy (LSG). Materials and Methods: A total of 129 patients underwent LSG in one surgical department. The following factors were analyzed: gender; age; highest preoperative and 6-month postoperative weight; the occurrence of obesity-related diseases, such as type 2 diabetes and hypertension; the number of surgeons involved in the surgery; and who performed the surgery, a resident or specialist. The outcomes also included length of hospital stay, operative time and complications. Statistical significance was defined as p ≤ 0.05. Results: A total of 129 patients (94 female) with a median age of 43 years and BMI of 43.1 kg/m2 underwent LSG, while a total of 109 (84.5%) patients achieved ≥50% of excess BMI loss (%EBMIL). Preoperative weight loss had no impact on %EBMIL (p = 0.95), operative time (p = 0.31) and length of hospital stay (p = 0.2). Two versus three surgeons in the operating team had no impact on surgery time (p = 0.1), length of stay (p = 0.98) and %EBMIL (p = 0.14). The operative time and length of hospital stay were similar for specialists and surgeons in training. %EBMIL was higher in the residents' surgery without statistical significance (p = 0.19). Complications occurred in 3.9% without mortality or leaks. Conclusions: Preoperative comorbidities, surgeons' experience and the number of surgeons in the operating team do not impact the complication rate, length of hospital stay, operative time and postoperative weight loss after LSG.

The legacy of a surgeon - in memoriam Dr. Ismail Demir.

In this perspective article, we highlighted some special aspects of being a surgeon that are typically not taught in medical training. Departing from a real and personal story, the present manuscript is intended to communicate how surgery imbues us doctors with an unparalleled degree of satisfaction, gratification, meaning and fulfilment, like no other field of medicine.

Evaluating Perceptions of Head and Neck Surgeons on the Role of Single-Entry Models in Managing Surgical Waitlists in Ontario: A Qualitative Study.

BACKGROUND: Long surgical wait times have long plagued health systems in Canada and abroad. This backlog and associated strain on health human resources has been exacerbated by the COVID-19 pandemic, affecting surgeries of varying degrees of urgency across all surgical specialties, including head and neck surgery. Single-entry models (SEMs) are being increasingly studied as one possible strategy to help manage surgical wait times, and a growing number of health systems have implemented SEMs within departments such as otolaryngology-head and neck surgery. We sought to evaluate the views of head and neck surgeons at all 8 designated head and neck cancer centers across Ontario on the role of SEMs in managing surgical backlogs. RESULTS: We interviewed 10 Ontario head and neck surgeons on the role of SEMs in managing wait times within the field. The following themes were elicited from interview transcripts: (1) anticipated positive impact, (2) barriers to implementation, (3) patient experience, and (4) roadmap to implementation. Participants agreed that SEMs may have utility for certain types of surgeries if implemented to address local needs. They also believe this model would have the greatest impact if employed together with other approaches, such as increasing operating room time or nursing availability. CONCLUSION: Our results highlighted the necessity for a nuanced approach to single-entry model implementation in head and neck surgery. While participants recognized the utility of SEMs for high-volume and low-variation surgeries, participants remained divided on the optimal approach to triaging patients necessitating more complex oncologic treatments. Deliberate collaboration among stakeholder organizations and senior surgeons will be critical if SEMs are to succeed in an intricate and political healthcare environment.

Learning curve of robotic assisted microsurgery in surgeons with different skill levels: a prospective preclinical study.

Achieving precision in microsurgery requires skill, adequate instruments and magnification, as well as extensive training. Dedicated surgical robotic systems have enhanced and expanded the application of (super-)microsurgical techniques by introducing motion scaling and providing improved surgeon ergonomics. In this prospective preclinical trial, we analyzed the learning curve in robotic assisted microsurgery in 13 participants including medical students, residents, and attending physicians. Data on demographics as well as prior experience in surgery, microsurgery, and gaming were collected. In three study sessions, the participants performed nine microsurgical anastomoses each on 2 mm vessel models using the Symani® Surgical System in combination the VITOM 3D exoscope. A senior expert microsurgeon reviewed the de-identified and blinded videos and scored all anastomoses using a modified "Structured Assessment of Microsurgical Skills" (SARMS) score. All participants significantly reduced their time needed per anastomosis and their overall SARMS score, as well as individual scores for motion and speed throughout the trial. We saw a significant correlation of prior years of practice in surgery with the overall mean time and mean SARMS score. In a separate analysis of the three sessions, this influence could no longer be seen in the last session. Furthermore, we found no significant effect of gender, age, hand dominance, or gaming experience on speed and quality of the anastomoses. In this study of 117 robotic assisted anastomoses, a rapid improvement of performance of all participants with different surgical skills levels could be shown, serving as encouraging evidence for further research in the implementation of microsurgical robotic systems.

Comprehensive review of virtual assistants in vascular surgery.

Virtual assistants, broadly defined as digital services designed to simulate human conversation and provide personalized responses based on user input, have the potential to improve health care by supporting clinicians and patients in terms of diagnosing and managing disease, performing administrative tasks, and supporting medical research and education. These tasks are particularly helpful in vascular surgery, where the clinical and administrative burden is high due to the rising incidence of vascular disease, the medical complexity of the patients, and the potential for innovation and care advancement. The rapid development of artificial intelligence, machine learning, and natural language processing techniques have facilitated the training of large language models, such as GPT-4 (OpenAI), which can support the development of increasingly powerful virtual assistants. These tools may support holistic, multidisciplinary, and high-quality vascular care delivery throughout the pre-, intra-, and postoperative stages. Importantly, it is critical to consider the design, safety, and challenges related to virtual assistants, including data security, ethical, and equity concerns. By combining the perspectives of patients, clinicians, data scientists, and other stakeholders when developing, implementing, and monitoring virtual assistants, there is potential to harness the power of this technology to care for vascular surgery patients more effectively. In this comprehensive review article, we introduce the concept of virtual assistants, describe potential applications of virtual assistants in vascular surgery for clinicians and patients, highlight the benefits and drawbacks of large language models, such as GPT-4, and discuss considerations around the design, safety, and challenges associated with virtual assistants in vascular surgery.

Heart rate variability as a dynamic marker of surgeons' stress during vascular surgery.

BACKGROUND: A surgeon experiences elevated stress levels when operating. Acute stress is linked to cognitive overload, worsening surgical performance. Chronic stress poses a significant risk to a surgeon's health. Identifying intraoperative stress may allow for preventative strategies that reduce surgeons' stress and subsequently improve patient outcomes. The aim of this study was to assess the feasibility of using heart rate variability as a marker of stress during vascular surgery. METHODS: A total of 11 senior surgeons were evaluated performing three different vascular surgery procedures. Heart rate variability metrics (low-frequency to high-frequency ratio and standard deviation of the normal-normal interval) were determined from single-lead ECG traces at predetermined procedural performance points. State-Trait Anxiety Inventory-6, a validated stress tool, was used to assess surgeon-reported stress. Subjective reports of procedural difficulty were also collected. One-way ANOVA compared heart rate variability at key performance points with baseline. Pearson's coefficient assessed correlation between heart rate variability and subjective stress. RESULTS: Data were collected for six carotid endarterectomies, six open abdominal aortic aneurysm repairs, and five lower limb bypasses. Heart rate variability metrics indicating markedly greater stress were observed at key performance points across all procedures. Peaks in stress were consistent across different surgeons performing the same procedure. A significant correlation was observed between heart rate variability metrics and subjective State-Trait Anxiety Inventory-6 stress reports (r = 0.768, P =<0.001). The most difficult procedural steps reported corresponded with heart rate variability metrics displaying the greatest stress. CONCLUSION: Heart rate variability may be a viable approach to assess intraoperative stress and cognitive load during vascular surgery and could be used to evaluate whether a theatre intervention (for example timeout) could reduce stress in areas of surgical difficulty.

The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists.

The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in personalized patient care and improved outcomes, the increasing burden on MTBs due to rising cancer incidence and financial constraints necessitates innovative solutions. The advent of artificial intelligence (AI) in the medical field offers a promising avenue to support clinical decision-making. This review explores the perspectives of clinicians dedicated to the care of cancer patients-surgeons, medical oncologists, and radiation oncologists-on the application of AI within MTBs. Additionally, it examines the role of AI across various clinical specialties involved in cancer diagnosis and treatment. By analyzing both the potential and the challenges, this study underscores how AI can enhance multidisciplinary discussions and optimize treatment plans. The findings highlight the transformative role that AI may play in refining oncology care and sustaining the efficacy of MTBs amidst growing clinical demands.

Surgeon-related Factors in the Surgical Treatment of Proximal Humerus Fractures.

INTRODUCTION: In this study, we reviewed proximal humeral fractures surgically treated with open reduction and internal fixation (ORIF) to test the null hypothesis that there is no association between fracture characteristics and surgeon characteristics in outcomes after surgical management of displaced proximal humeral fractures with ORIF. METHODS: A retrospective review of surgically treated proximal humeral fractures was done at a tertiary-level hospital. The data were organized into two categories: fracture characteristics and surgeon characteristics. RESULTS: There were 314 proximal humeral fractures treated with ORIF. In total, there were 112 failures (36%). Bivariate Pearson correlations demonstrated that the number of proximal humerus fixation surgeries performed by an individual surgeon was associated with adequate calcar reduction (r = 0.995, P < 0.001) and greater tuberosity reduction (r = 0.994, P < 0.001). Years of experience was positively associated with adequate calcar reduction (r = 0.594, P = 0.012) and greater tuberosity reduction (r = 0.589, P = 0.013). Regression analysis of two surgeons versus the rest of the cohort demonstrated significantly lower failure rates (P = 0.001). DISCUSSION: Complex proximal humeral fractures (3-part and 4-part) have better calcar reduction and tuberosity reduction when treated by surgeons with greater volume of proximal humeral fracture surgery. Among surgeons with high volume, there may be individuals who have the unique ability to provide markedly better results.

Impact of artificial intelligence on the training of general surgeons of the future: a scoping review of the advances and challenges.

PURPOSE: To explore artificial intelligence's impact on surgical education, highlighting its advantages and challenges. METHODS: A comprehensive search across databases such as PubMed, Scopus, Scientific Electronic Library Online (SciELO), Embase, Web of Science, and Google Scholar was conducted to compile relevant studies. RESULTS: Artificial intelligence offers several advantages in surgical training. It enables highly realistic simulation environments for the safe practice of complex procedures. Artificial intelligence provides personalized real-time feedback, improving trainees' skills. It efficiently processes clinical data, enhancing diagnostics and surgical planning. Artificial intelligence-assisted surgeries promise precision and minimally invasive procedures. Challenges include data security, resistance to artificial intelligence adoption, and ethical considerations. CONCLUSIONS: Stricter policies and regulatory compliance are needed for data privacy. Addressing surgeons' and educators' reluctance to embrace artificial intelligence is crucial. Integrating artificial intelligence into curricula and providing ongoing training are vital. Ethical, bioethical, and legal aspects surrounding artificial intelligence demand attention. Establishing clear ethical guidelines, ensuring transparency, and implementing supervision and accountability are essential. As artificial intelligence evolves in surgical training, research and development remain crucial. Future studies should explore artificial intelligence-driven personalized training and monitor ethical and legal regulations. In summary, artificial intelligence is shaping the future of general surgeons, offering advanced simulations, personalized feedback, and improved patient care. However, addressing data security, adoption resistance, and ethical concerns is vital. Adapting curricula and providing continuous training are essential to maximize artificial intelligence's potential, promoting ethical and safe surgery.

Knowledge, attitude and practices of surgeons regarding venous thromboembolism prophylaxis in tertiary healthcare hospitals of the Rawalpindi Districts.

Objective: To assess doctors' knowledge, attitudes and practices regarding venous thromboembolism prophylaxis. METHODS: The cross-sectional study was conducted from April to September 2021 in three public-sector hospitals affiliated with the Rawalpindi Medical University: Holy Family Hospital, Benazir Bhutto Hospital and Rawalpindi District Headquarters Hospital, Rawalpindi, Pakistan, and comprised physicians of either gender who were actively involved in patient care. Data was collected using a predesigned questionnaire regarding venous thromboembolism. Data was analysed using SPSS 25. RESULTS: All the 220(100%) subjects approached responded positively to the study questionnaire. There were 144(65.45%) general surgeons, 50(22.72%) gynaecologists and 26(11.81%) orthopaedic surgeons. Overall, there were 26(11.81%) senior consultants, 65(29.54%) postgraduate residents and 129(58.63%) house officers. There were 150(68.2%) doctors who reported having witnessed deep-vein thrombosis in their patients, and 113(51.4%) had witnessed deaths related to pulmonary embolism. Among the methods employed for DVT diagnosis, the use of clinical criteria was the most common 136(36.1%), while venography was the least common technique used by 8(2.2%). While 210(95.5%) subjects expressed the desire for adopting an institute-wide regimen for venous thromboembolism prophylaxis, only 66(30%) were currently following such a regimen.

Association between surgeon training grade and the risk of revision following unicompartmental knee replacement: An analysis of National Joint Registry data.

BACKGROUND: Unicompartmental knee replacements (UKRs) are performed by surgeons at various stages in training with varying levels of supervision, but we do not know if this is a safe practice with comparable outcomes to consultant-performed UKR. The aim of this study was to use registry data for England and Wales to investigate the association between surgeon grade (consultant, or trainee), the senior supervision of trainees (supervised by a scrubbed consultant, or not), and the risk of revision surgery following UKR. METHODS AND FINDINGS: We conducted an observational study using prospectively collected data from the National Joint Registry for England and Wales (NJR). We included adult patients who underwent primary UKR for osteoarthritis (n = 106,206), recorded in the NJR between 2003 and 2019. Exposures were the grade of the operating surgeon (consultant, or trainee) and whether or not trainees were directly supervised by a consultant during the procedure (referred to as "supervised by a scrubbed consultant"). The primary outcome was all-cause revision surgery. The secondary outcome was the number of procedures revised for the following specific indications: aseptic loosening/lysis, infection, progression of osteoarthritis, unexplained pain, and instability. Flexible parametric survival models were adjusted for patient, operation, and healthcare setting factors. We included 106,206 UKRs in 91,626 patients, of which 4,382 (4.1%) procedures were performed by a trainee. The unadjusted cumulative probability of failure at 15 years was 17.13% (95% CI [16.44, 17.85]) for consultants, 16.42% (95% CI [14.09, 19.08]) for trainees overall, 15.98% (95% CI [13.36, 19.07]) for trainees supervised by a scrubbed consultant, and 17.32% (95% CI [13.24, 22.50]) for trainees not supervised by a scrubbed consultant. There was no association between surgeon grade and all-cause revision in either crude or adjusted models (adjusted HR = 1.01, 95% CI [0.90, 1.13]; p = 0.88). Trainees achieved comparable all-cause survival to consultants, regardless of the level of scrubbed consultant supervision (supervised: adjusted HR = 0.99, 95% CI [0.87, 1.14]; p = 0.94; unsupervised: adjusted HR = 1.03, 95% CI [0.87, 1.22]; p = 0.74). Limitations of this study relate to its observational design and include: the potential for nonrandom allocation of cases by consultants to trainees; residual confounding; and the use of the binary variable "surgeon grade," which does not capture variations in the level of experience between trainees. CONCLUSIONS: This nationwide study of UKRs with over 16 years' follow up demonstrates that trainees within the current training system in England and Wales achieve comparable all-cause implant survival to consultants. These findings support the current methods by which surgeons in England and Wales are trained to perform UKR.