Citations

Objective The objective of the study was to determine risk factors for relapse of antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) after reinduction of remission with rituximab and discontinuation of maintenance therapy. Methods This is a post hoc analysis of the RITAZAREM clinical trial. Patients aged 15 years or older with AAV and a positive test for anti–proteinase‐3 or anti‐myeloperoxidase‐ANCA who achieved remission after reinduction with rituximab and glucocorticoids were randomized at month 4 to receive continued rituximab or azathioprine for a maintenance period up to 24 months, followed by observation until relapse or up to 48 months. Generalized estimating equations logistic regression identified baseline and time‐varying risk factors for relapse by the next visit for the two study phases: maintenance (months 4–24) and off‐treatment (months 24–48). Results Among 170 patients (median [interquartile range] age 59 [48–68] years, disease duration 5 [2–10] years), 99 relapses occurred (46 during maintenance). During maintenance, musculoskeletal involvement (odds ratio [OR]: 2.8, 95% confidence interval [CI]: 1.1–7.2; P = 0.03) and higher patient global assessment (OR: 1.1, 95% CI: 1.0–1.2; P = 0.04) were associated with relapse. During the off‐treatment phase, presence of CD19 + B cells (OR: 2.5, 95% CI: 1.2–5.1; P = 0.01) and reappearance of ANCA (OR: 3.2, 95% CI: 1.3–7.7; P = 0.01) were each associated with higher relapse risk. Multivariable analysis identified markers of inflammation (changes in platelets, white blood cells, and IgA) associated with relapse. Conclusion Risk factors for relapse in AAV vary by treatment phase. Monitoring markers of inflammation and immune reconstitution may identify patients at risk for relapse, particularly after treatment withdrawal.

Abstract Pain medicine triage plays a crucial role in ensuring patients receive timely and appropriate care by scheduling them to the most suitable treatment path. However, the absence of standardized triage protocols in pain medicine often leads to inefficiencies, including delay of care and wastage of healthcare resources. This study aims to develop a rule-based automated referral triage system leveraging information from patients' medical notes for scheduling patients to specific procedures in the pain medicine department. The proposed triage system, grounded in the knowledge and expertise of clinical providers, processed referral order comments and referring provider notes by iteratively refining the Natural Language Processing (NLP) rules and post-processing rules through intensively reviewing 76 patients. A post-processing regression model was incorporated to further enhance the accuracy. To ensure alignment with real-world practices, the system was integrated into an electronic health record (EHR) platform for real-time application, streamlining scheduling workflows and enhancing usability in daily clinical settings. After three iterations, the proposed NLP and post-processing rules improved accuracy from 76.3 to 80.3% compared to machine learning (ML) approaches in the preliminary study. The post-processing model further increased accuracy to 84.2%. The implementation accuracy of 200 cases for the first 3 months was consistent with our prediction at 83.5%, which concluded that the improvement over ML models (p-value = 0.018) was statistically significant at 95% significance level. This study demonstrates the feasibility and benefits of a knowledge-driven approach to referral triage in specialized medical fields. It lays a foundation for others in building similar triaging solutions to other specialties.

BACKGROUND The most common complication after interpolated forehead flap repair is postoperative bleeding from the pedicle. Reconstructive surgeons should focus on minimizing postoperative bleeding while ensuring the blood supply and integrity of the flap are preserved. OBJECTIVE To provide a comprehensive review of the various methods to reduce the risk of bleeding after interpolated forehead flap repair. METHODS A comprehensive literature review of PubMed articles discussing strategies to reduce postoperative bleeding specifically in interpolated forehead flap repair was performed. RESULTS A total of 9 unique techniques were apparent from the literature, including use of hydrophilic polymer and potassium ferrate, ferric subsulfate 20% solution, oxidized regenerated cellulose gauze, gelatin sponges, thrombin-based hemostatic agents, aluminum chloride, cyanoacrylate, skin graft, and tranexamic acid. CONCLUSION Reconstructive surgeons should be knowledgeable of the various techniques to reduce bleeding after interpolated forehead flap repair, as bleeding can result in patient dissatisfaction and often requires intervention. Each technique identified in the literature offers its own advantages and drawbacks; its choice should be tailored to the needs of each patient.