Citations

Background: The American opioid use disorder (OUD) and overdose epidemic require physicians and advanced care providers to be prepared to care for patients with this life-threatening condition. Learning to identify, engage, and treat patients with OUD with medications is an essential skill for providers, as is developing requisite confidence and therapeutic attitudes regarding the care of patients with OUD (CP-OUD). To address the need for improved OUD treatment education, our team built and implemented a 12-module asynchronous course entitled, “Care of Patients with Opioid Use Disorder”, in 3 Doctor of Medicine (MD) programs and a Graduate School of Nursing (GSN) program. Methods: Students self-reported their attitudes and confidence regarding the CP-OUD before and after each module. Twelve questions assessed confidence, and 12 questions assessed attitude. Students’ change in confidence and attitudes before and after training was calculated. Results: Responses were collected between January 2021 and November 2024. The number of students completing each module ranged from 552 to 967 MD students and 81 to 149 GSN students. Students reported improved confidence after completing each of the 12 modules (<0.0001). Students reported improved attitudes after completing 10 of the 12 modules (<0.0001). Differences ranging from small to medium size were observed between MD and GSN student’s baseline confidence for 4 modules, and baseline attitudes for 6 modules. Conclusions: Asynchronous learning modules can be effectively implemented in medical and nursing education to improve confidence and attitudes regarding the CP-OUD. The use of asynchronous training modules allows for flexible deployment, as evidenced by their use in 3 MD programs and a GSN program. Future research should investigate whether improved confidence and attitudes during medical and nursing education result in more graduates caring for patients with OUD post-training.

Abstract In recent years, there has been increasing interest in the possible prognostic impact of concomitant medications in patients with cancer treated with immunotherapy combinations. This real‐world analysis aims to evaluate the impact of concomitant medications on survival outcomes in patients with advanced biliary tract cancer (BTCs) treated with cisplatin, gemcitabine and durvalumab (CGD) therapy. The study cohort included patients with a diagnosis of advanced BTCs who were taking concomitant medications for their comorbidities before the start of CGD. The primary objectives were overall survival (OS) and progression‐free survival (PFS). The initial population consisted of 666 patients, who were retrospectively collected from 41 sites in 12 countries. Data on concomitant medications were available for 493 patients. After a median follow‐up of 8.8 months (95% CI: 7.8–9.8), patients who did not take steroids (prednisone >10 mg/day or equivalent) or nonsteroidal anti‐inflammatory drugs (NSAIDs) and opioids, before the start of CGD, had longer OS and PFS in univariate analysis. The multivariate analysis confirmed longer OS for patients who did not take steroids. Patients who did not take steroids had an OS of 14.8 months (95% CI: 13.1–29.1) versus 5.0 months (95% CI: 2.14–11.32) of patients who took prednisone >10 mg/day or equivalent. No differences were reported in terms of overall response rate (ORR), disease control rate (DCR) ( p = 1.0 and p = .16, respectively), and safety profile between the two groups. Our analysis suggests that patients who did not receive steroids before the start of GCD had longer survival and highlighted the relevance of balancing concomitant medications and chemoimmunotherapy.

Background Pancreatoduodenectomy (PD) is the only curative treatment for pancreatic cancer. Neoadjuvant therapy (NAT) has enhanced survival, especially for downstaging advanced tumors, while also introducing complexities and new complications. Despite surgical advances, some PD attempts remain unsuccessful. The management of these cases is not well defined. This study analyzes outcomes of repeat PD performed by two high-volume surgeons following previously unsuccessful attempts. Methods We retrospectively analyzed patients with pancreatic neoplasm undergoing successful pancreaticoduodenectomy (2013-2024) at two high-volume centers under two experienced surgeons. Only cases with prior aborted PD attempts for non-metastatic disease were included. Data from institutional records provided outcomes on failure reasons, procedure timing, surgical details, and 90-day complications. Results Of the 858 PD cases, 18 patients (2.1%; 12 males, 6 females; median age 69 years) had prior unsuccessful PD attempts at other institutions. Initial tumors were borderline resectable (33.3%), resectable (22.2%), or locally advanced (22.2%). Main causes for initial failure were vascular involvement (41.2%) and tumor infiltration (17.6%). Median time between attempts was 246 days, with 77.8% receiving chemotherapy before the second attempt. The second procedure achieved R0 resection in 94.4% of cases. Major 90-day complications occurred in 23.5% of patients, with no perioperative mortality. Disease recurrence occurred in 38.9% within the first year. Conclusion Repeat PD after an aborted attempt is feasible in select patients at specialized centers. However, complication and recurrence rates emphasize the need for careful patient selection. Further research is needed to optimize management strategies.

Abstract Clinicians struggle to accurately classify biliary strictures as benign or malignant. Current endoscopic retrograde cholangiopancreatography (ERCP)-based sampling modalities including brush cytology and forceps biopsy have poor sensitivity for pathologic confirmation of malignancy. Cholangioscopy allows for direct visualization and sampling of biliary pathology; however, this technology is also associated with inaccurate classification of biliary disease. Previously, an artificial intelligence (AI) system that analyzes cholangioscopy footage was found to be more accurate in diagnosing biliary malignancy than ERCP sampling techniques. The aim of this study was to validate this AI system on a new series of examinations. Three academic centers collected all available unedited cholangioscopy recordings. The videos were processed by the cholangioscopy AI system. After analyzing videos, the AI system provided predictions as to whether malignancy was present. AI performance in classifying strictures was compared with the performance of brush cytology and forceps biopsy. 112 cholangioscopy examinations (containing 4 817 081 images) were generated from 99 patients. Of those examinations, 61 (54.5%) were for investigation of biliary strictures (31 [50.8%] benign, 30 [49.2%] malignant). For the correct classification of strictures, the AI system was 80.0% sensitive and 90.3% specific. It was also significantly more accurate for stricture classification (85.2%) than brush cytology (52.5%; P<0.001), forceps biopsy (68.2%; P=0.04), and the combination of brush cytology and forceps biopsy (66.7%; P=0.02). A previously developed cholangioscopy AI system was found to continually outperform standard ERCP sampling modalities for accurate identification of malignancy, without additional retraining, in a multicenter validation cohort.

OBJECTIVE Mechanical thrombectomy (MT) is well established for large-vessel occlusion (LVO) strokes, but its safety in distal and medium-vessel occlusions (DMVOs) requires further investigation. This study analyzed the relationship between procedural approaches, petechial hemorrhage (PetH), and clinical outcomes in DMVO thrombectomy, with particular attention to technical considerations and the complex interplay between tissue injury and hemorrhagic complications. METHODS A retrospective cohort study was conducted on DMVO stroke patients treated with MT at 37 stroke centers worldwide from 2016 to 2024. Patients were categorized based on follow-up imaging into those with or without PetH. Four logistic regression models analyzed the association of PetH with favorable functional outcomes (modified Rankin Scale score ≤ 2) at 90 days, early neurological improvement (≥ 4-point National Institutes of Health Stroke Scale score decrease at 24 hours), all-cause mortality, and independent determinants of PetH. Adjusted odds ratios (aORs), 95% confidence intervals, and p values were reported. RESULTS Of 1428 patients, 439 (30.7%) developed PetH. Factors independently associated with PetH were multiple thrombectomy passes (aOR 1.58, 95% CI 1.21–2.06; p = 0.001), IV thrombolysis (aOR 1.31, 95% CI 1.01–1.69; p = 0.04), and the combined use of a stent retriever with aspiration as the first-line method compared with aspiration alone (aOR 1.66, 95% CI 1.15–2.38; p = 0.007). Conversely, general anesthesia (aOR 0.55, 95% CI 0.40–0.77; p < 0.001), higher Alberta Stroke Program Early CT Scores (aOR 0.76, 95% CI 0.69–0.83; p < 0.001), and successful recanalization (aOR 0.56, 95% CI 0.39–0.80; p = 0.002) were significantly associated with a lower odds of PetH. PetH was associated with a decreased odds of favorable functional outcomes (aOR 0.51, 95% CI 0.36–0.73; p < 0.001), reduced early neurological improvement (aOR 0.59, 95% CI 0.44–0.79; p < 0.001), and increased all-cause mortality (aOR 1.84, 95% CI 1.23–2.76; p < 0.001). CONCLUSIONS PetH is a frequent sequela following MT in DMVO strokes and is associated with poorer outcomes, likely reflecting underlying ischemic injury rather than direct causation. Procedural factors influence PetH risk, suggesting medical treatment as first-line therapy for DMVOs, with MT reserved for refractory cases using less aggressive approaches.

Abstract Background Cisplatin, gemcitabine, and durvalumab combination is a standard first-line treatment for advanced biliary tract cancer. This study aimed to assess the impact of genetic alterations on outcomes in patients with advanced biliary tract cancer treated with cisplatin, gemcitabine, and durvalumab in real-world clinical practice. Methods Patients with unresectable, locally advanced, or metastatic biliary tract cancer treated with cisplatin and gemcitabine plus durvalumab across 39 centers in 11 countries in Europe, the United States, and Asia were included in this analysis. Results The cohort included 513 patients with advanced biliary tract cancer. The 5 most frequently altered genes were TP53 (22.1%), KRAS (13.7%), CDKN2A/B (13.6%), ARID1A (12.2%), and IDH1 (9.2%). In multivariate analysis, SMAD4 mutations were associated with improved progression-free survival (PFS) (hazard ratio [HR] = 0.49, P = .018) and overall survival (HR = 0.11, P = .023), while TP53 mutations were linked to worse PFS (HR = 1.62, P = .0047) and TERT mutations to worse overall survival (HR = 8.92, P = .0012). No other genomic alterations were statistically associated with outcomes. Subgroup analysis showed that TP53 mutations negatively affected PFS and overall survival in intrahepatic cholangiocarcinoma, while KRAS mutations were associated with poorer PFS in extrahepatic cholangiocarcinoma. No gene alterations were linked to outcomes in gallbladder cancer. Conclusions This large-scale analysis, with comprehensive molecular profiling, supports the positive prognostic impact of SMAD4 mutations for PFS and overall survival and highlights the negative prognostic roles of TP53 (PFS) and TERT (overall survival) mutations, providing valuable insights for personalized treatment strategies in biliary tract cancer.

Importance Tumor-infiltrating lymphocytes (TILs) are a provocative biomarker in melanoma, influencing diagnosis, prognosis, and immunotherapy outcomes; however, traditional pathologist-read TIL assessment on hematoxylin and eosin–stained slides is prone to interobserver variability, leading to inconsistent clinical decisions. Therefore, development of newer TIL scoring approaches that produce more reliable and consistent readouts is important. Objective To evaluate the analytical and clinical validity of a machine learning algorithm for TIL quantification in melanoma compared with traditional pathologist-read methods. Design, Setting, and Participants This multioperator, global, multi-institutional prognostic study compared TIL scoring reproducibility between traditional pathologist-read methods and an artificial intelligence (AI)-driven approach. The study was conducted using retrospective cohorts of patients with melanoma between January 2022 and June 2023 across 45 institutions, with tissue evaluated by participants from academic, clinical, and research institutions. Participants were selected to ensure diverse expertise and professional backgrounds. Main Outcomes and Measures Intraclass correlation coefficient (ICC) values were calculated for the manual and AI-assisted arms using log-transformed data. Kendall W values were calculated for Clark scores (brisk = 3, nonbrisk = 2, and sparse = 1). Reliabilities of ICC and W values were classified as moderate (0.40-0.60), good (0.61-0.80), or excellent (&amp;gt;0.80). AI TIL measurements were dichotomized using the 16.6 and median cutoffs. Univariable and multivariable Cox regression analyses assessed the prognostic value of TIL scores adjusted for clinicopathologic variables. Results There were 111 patients with melanoma in the independent testing cohort (median [range] age at diagnosis, 61.0 [25.0-87.0] years; 56 [50.5%] male) who contributed melanoma whole tissue sections. A total of 98 participants evaluated TILs on 60 hematoxylin and eosin–stained melanoma tissue sections. All 40 participants in the manual arm were pathologists, while the AI-assisted arm included 11 pathologists and 47 nonpathologists (scientists). The AI algorithm demonstrated superior reproducibility, with ICCs higher than 0.90 for all machine learning TIL variables, significantly outperforming manual assessments (ICC, 0.61 for AI-derived stromal TILs vs Kendall W , 0.44 for manual Clark TIL scoring). AI-based TIL scores showed prognostic associations with patient outcomes (n = 111) using the median cutoff approach with a hazard ratio (HR) of 0.45 (95% CI, 0.26-0.80; P = .005), and using the cutoff of 16.6, with an HR of 0.56 (95% CI, 0.32-0.98; P = .04). Conclusions and Relevance In this prognostic study of TIL quantification in melanoma, the AI algorithm demonstrated superior reproducibility and prognostic associations compared with traditional methods. Although the retrospective nature of the cohorts limits demonstration of clinical utility, the publicly available dataset and open-source AI tool offer a foundation for future validation and integration into melanoma management.

Study Design: A national prospective cervical spine surgery registry was developed to archive radiographic studies, patient-reported outcome measures (PROMs), and surgical implant data to assess long-term safety. Objective: To describe the design, development, funding, and implementation of a cervical spine data registry for 1000 patients with myelopathy and radiculopathy. Summary of Background Data: While surgery for cervical radiculopathy and myelopathy is safe and effective, there is significant practice variation among spine surgeons. While randomized clinical trials (RCTs) can provide high-quality comparative effectiveness data, RCTs lack the ability to evaluate the safety and effectiveness of various surgical procedures and implants among heterogenous real-world patient populations. The CSRS Registry was designed to collect patient demographics, outcomes, radiographic imaging, surgical approach, and implant data for the purpose of conducting high-quality research. Methods: Patients with cervical myelopathy or radiculopathy were enrolled in the CSRS National Registry. De-identified patient data, validated PROMs, radiographic data, and implant data were collected from multiple clinical sites across the United States. Results: One thousand patients [mean age, 58 y; 456 (46%) women] were enrolled, with 31% follow-up at 1 year. Five hundred ninety-two patients were diagnosed with radiculopathy, 252 with myelopathy, and 156 with radiculopathy and myelopathy. Patients had significant improvements in their PROMs after surgery. At 1 year, the mean NDI score improved from 37.2 to 20.9 ( P <0.001). The mean self-reported P-mJOA score at baseline was 14.2 and improved to 15.2 by 1 year ( P <0.001). Baseline CSDI score was 23.6 and improved with a 1-year decrease to an average score of 13.6 ( P <0.001). There was significant improvement in PROMIS-10 Physical Health score from 41.0 to 45.9 (n=311; P <0.001) at 1-year follow-up. Conclusions: The CSRS Registry has successfully collected clinical outcomes data that is being leveraged for comparative effectiveness research and evaluations of the long-term safety and effectiveness of spinal implants.

Abstract Background Patients with inflammatory bowel disease (IBD) often experience symptoms refractory to available treatments, prompting the use of alternative therapies like cannabis. Previous studies have shown cannabis users require higher levels of sedation for procedures. The anti-inflammatory effects of cannabis have been studied with mixed conclusions. We aimed to investigate if patients with IBD who reported cannabis use required more resources for endoscopic procedures and were more likely to have endoscopic inflammation. Methods This is a retrospective case–control study of adult patients with IBD between November 2018 and November 2022 at a tertiary academic medical center undergoing endoscopic evaluation of acute complaints related to IBD. Cases were matched for age, sex, and body mass index. Results There were 124 patients with IBD with 62 patients reporting cannabis use and 62 patients without reported cannabis use. There was a significant difference in endoscopy duration (P &lt; .001) and endoscopic inflammation (P = .044) between groups. There was no significant difference in recovery room length of stay (P = .15), IBD treatment during time of endoscopy (P = .84), stricture (P = .53), propofol dose administered when adjusted for procedure duration (P = .082), or endoscopic duration between cannabis users with and without endoscopic inflammation (P = .194). Conclusions IBD cannabis users had longer endoscopic durations and were more likely to exhibit inflammation on endoscopic evaluation compared to cannabis non-users. Our study underscores the importance of medication reconciliation for more accurate resource allocation. Additionally, federal expansion of cannabis research is needed for randomized control trials to fulfill the presently unmet need for data on patient outcomes.