Muaddi, Hala

Introduction In moderate to high-risk surgical procedures, 15–25% of patients develop a postoperative surgical site infection. Intraoperative incisional wound irrigation has the potential to reduce surgical site infections, and additional randomised controlled trials are required to provide evidence of effectiveness. Methods and analysis This protocol describes a pragmatic, adaptive, participant and adjudicator-blinded trial at 13 sites in Canada in up to 2500 participants. Participants planned for surgery with an abdominal or groin incision, who are eligible and provide verbal consent through an integrated consent model, are randomised to receive intraoperative incisional wound irrigation with povidone-iodine, saline or no irrigation. The primary outcome is surgical site infection within 30 days postoperatively. Secondary outcomes include quality of life measured 30 days postoperatively and morbidity, mortality and healthcare utilisation within 90 days postoperatively. Ethics and dissemination This trial has been approved by the research ethics board at the participating centres and stopped enrolling participants on May 23, 2025. All participants will provide verbal consent. Results will be disseminated via presentation at conferences, publication and posted on clinicaltrials.gov. Trial registration number The study is registered with http://clinicaltrial.gov ( NCT04548661 ; 14 September 2020).

Objective: To develop an artificial intelligence–based pipeline to assess and triage patient-submitted postoperative wound images. Background: The rise of outpatient surgeries, remote monitoring, and patient-submitted wound images via online portals has contributed to a growing administrative workload on clinicians. Early identification of surgical site infection (SSI) is essential for reducing postoperative morbidity. Methods: Patients ≥18 years old who underwent surgery at 9 affiliated Mayo Clinic hospitals (2019-2022) and were captured by the National Surgical Quality Improvement Program (NSQIP) were included. Eligibility required submission of one image via the patient portal within 30 days after surgery. Images were independently screened in duplicate to determine the presence of an incision. SSI outcomes were obtained from NSQIP. The developed model consisted of 2 stages: incision detection and SSI detection in images with incisions. Four pretrained architectures were evaluated using 10-fold cross-validation, with upsampling and data augmentation to mitigate class imbalance. An end-to-end pipeline, image quality assessment and sensitivity analysis stratified by race were also performed. Results: Among 6060 patients, the median age was 54 years (interquartile range: 40–65), 61.4% (n=3805) were female, and 92.5% (n=5731) identified as White. SSIs were confirmed in 6.2% (n=386) images. Vision Transformer outperformed all others, achieving an incision detection accuracy of 0.94 (area under the curve=0.98) and an SSI detection accuracy of 0.73 (area under the curve=0.81). In addition, it demonstrated strong performance in assessing image quality. Sensitivity analysis revealed comparable performance across racial subgroups. Conclusion: This artificial intelligence pipeline demonstrates promising performance in automating wound image assessment and SSI detection, reducing clinical workload and improving postoperative care.

ABSTRACT Background Surgical resection for pancreas ductal adenocarcinoma (PDAC) remains the mainstay of treatment. Regardless of enhanced survival rates, disparities in patient outcomes and experiences driven by the social determinants of health (SDH) persist. The area deprivation index (ADI) comprises 17 indicators related to education, employment, housing‐quality, and poverty. We sought to examine the impact of ADI on surgical outcomes of PDAC patients. Methods Patients who underwent pancreatoduodenectomy or distal pancreatectomy for PDAC between January 2011 and December 2022 were identified. ADI was calculated using patient zip codes and categorized into quartiles, with the highest indicating the most marginalized. The primary outcome was loss to follow‐up after surgical resection. To account for confounders, a competing risk multivariable regression analysis was used. Results A total of 1001 patients had a mean age of 66.6 (±9.64), with 46.3% ( n = 463) of patients being female. A majority, 94.6% ( n = 947), identified as white, and 64.1% ( n = 641) had at least a college degree. The median length of follow‐up after surgery was 1.8 years (interquartile range: 0.9–3.5). Multivariable analysis adjusting for competing risk of death, showed that patients who are least marginalized are 1.57 times more likely to have their follow‐up than those most marginalized (hazard ratio: 1.57, 95% confidence interval: 1.08–2.29, p = 0.017). Conclusion SDH impact many aspects of patient's care including a higher risk of loss to follow‐up for marginalized patients after surgery for PDAC. Future efforts should seek to identify and lower barriers faced by marginalized patients with system‐level changes to ensure equitable access.

ABSTRACT General surgery is a dynamic and multifaceted field influenced by diverse factors, ranging from cultural norms to healthcare system structures and technological advancements. This review paper delves into a comparative exploration of the educational landscapes in Canada and India, unravelling the intricacies of training aspiring general surgeons. As two nations with distinct healthcare systems and educational frameworks, Canada and India offer unique perspectives on the journey from medical school to independent surgical practice. This article compares the residency application process, training structure, assessment methods, challenges faced during clinical training and the role of research in surgical programmes between the two nations. Through this comparative lens, we seek to provide valuable insights that may inform future developments in surgical education, fostering a global exchange of knowledge and practices to advance healthcare systems worldwide.

ABSTRACT Background Pancreatoduodenectomy (PD) for pancreatic cancer has a profound impact on patients' lives. However, the long‐term financial implications are poorly understood. Objective Assess the financial burden of long‐term survivors who underwent PD. Methods Patients who underwent PD between January 2011 and June 2019 were identified. To evaluate the long‐term financial burden, patients surviving ≥ 3 years post‐resection were prospectively surveyed using the Comprehensive Score for financial Toxicity (COST‐FACIT) and a customized institutionally developed questionnaire. A logistic regression model predicting high financial toxicity was used to identify predictive factors. Results Among 238 eligible patients, 137 (57.6%) responded. Responders had a median age of 66 (59–73) years, with 86.7% identifying as financial prosperous or comfortable. However, 33.3% experienced financial distress due to treatment costs, 27.3% demonstrated high financial toxicity on the COST‐FACIT survey, and 37.2% made sacrifices to afford treatment. Only 8.9% stated that the treatment costs influenced their decisions, and the majority (85.9%) did not discuss financial implications with healthcare providers. Multivariable analysis identified younger age as a risk factor for high financial toxicity. Conclusion One in three long‐term survivors experienced high financial toxicity, with younger age being a predictor. This emphasizes the need for efforts to provide comprehensive support and guidance to patients to navigate their oncological journey.

With an overall 5-year survival rate of 12%, pancreas ductal adenocarcinoma (PDAC) is an aggressive cancer that claims more than 50,000 patient lives each year in the United States alone. Even those few patients who undergo curative-intent resection with favorable pathology reports are likely to experience recurrence within the first two years after surgery and ultimately die from their cancer. We hypothesize that risk factors for these early recurrences can be identified with thorough preoperative staging, thus enabling proper patient selection for surgical resection and avoiding unnecessary harm. Herein, we review evidence supporting multidisciplinary and multimodality staging, comprehensive neoadjuvant treatment strategies, and optimal patient selection for curative-intent surgical resections. We further review data generated from our standardized approach at the Mayo Clinic and extrapolate to inform potential future investigations.