Citations

Abstract Selective myectomy has gained popularity for treating facial synkinesis. We examined the combined effectiveness of depressor anguli oris (DAO), partial buccinator, and platysma myectomies. Retrospective case series. Pre- and postoperative botulinum toxin-A (BTX-A) treatments of selective myectomy patients were collected. Facial photographs were analyzed using Emotrics + . Facial Asymmetry Index (FAI) and electronic facial paralysis assessment (eFACE) scores were calculated. Twenty patients underwent myectomies. Improvements (mean ± standard error) were seen in several smile metrics, including FAI by 2.80 ± 0.68 mm, nasolabial fold angle by 4.78 ± 1.83 degrees, and smile angle by 4.43 ± 1.18 degrees (all p < 0.05). Postoperative FAI was 2.79 mm. Total BTX-A decreased by 10.85 ± 4.48 units (p = 0.03). eFACE revealed improved oral commissure movement and platysmal synkinesis (p < 0.05 for both). Combined myectomies of the DAO, partial buccinator, and platysma clinically and statistically improve smile in facial synkinesis.

This practice recommendation serves as an update to the 2023 AASLD Practice Guidance on the clinical assessment and management of nonalcoholic fatty liver disease (NAFLD), now known as metabolic dysfunction–associated steatotic liver disease (MASLD), and provides implementable guidance on patient selection for treatment, consideration of comorbidities, and monitoring of treatment safety and efficacy of semaglutide. FDA-indication and Practice Recommendation: The Wegovy formulation, whose main ingredient is semaglutide, received accelerated FDA approval in August 2025 for treating MASH with moderate-to-advanced fibrosis (consistent with stages F2–F3 fibrosis), based on interim results of the phase 3 ESSENCE trial where 72 weeks of 2.4 mg/week subcutaneous injection resulted in achievement of both primary histologic endpoints: (1) resolution of MASH without worsening of fibrosis (62.9% vs. 34.3% placebo, p <0.001) and (2) ≥1 stage reduction in liver fibrosis without worsening of MASH (36.8% vs. 22.4% placebo, p <0.001); final approval awaits long-term outcomes. Patient Selection: Candidates should have MASH with stage 2–3 fibrosis, identified using non-invasive tests (NITs) such as VCTE (8–15 kPa), MRE (3.1–4.4 kPa), or ELF (9.2–10.5), rather than liver biopsy, which is impractical and unnecessary for most patients. In those with VCTE (15–20 kPa), MRE (4.4–5 kPa), or ELF (10.5–11.3), an individualized decision to treat should be based on exclusion of cirrhosis with another confirmatory NIT, or cross-sectional imaging excluding nodular-appearing liver contour and signs of portal hypertension, or a platelet count of <150,000/mm 3 . While semaglutide is not approved to treat patients with MASH cirrhosis (VCTE >20 kPa, MRE>5.0 kPa, ELF>11.3, and/or evidence of portal hypertension), those with compensated cirrhosis who are receiving semaglutide for another FDA-approved indication should be monitored carefully. Monitoring and Safety: Semaglutide showed a favorable hepatic safety profile in the ESSENCE trial, with no discontinuations due to liver enzyme elevations. Routine hepatic panels are recommended only as clinically indicated. The most common adverse events were gastrointestinal (nausea, diarrhea, constipation, vomiting), generally mild and transient; patient education and dose titration help improve tolerance. Clinicians should monitor for rare but serious risks, including acute kidney injury (from dehydration), symptomatic gallbladder disease, pancreatitis, thyroid C-cell tumors, retinopathy progression, and lean mass loss. Treatment Response and Concomitant Therapy: Lifestyle modification remains the cornerstone of MASLD/MASH management alongside semaglutide. Combination use of resmetirom with semaglutide 2.4mg/week has not been studied. While no NITs reliably predict histologic response at the individual patient level, reductions from baseline to 72 weeks of treatment suggest significant improvement in MASH resolution (ALT ≥17 U/L or ≥20%) and fibrosis improvement (VCTE LSM ≥30%; MRE LSM ≥20%; ELF ≥0.5). Non-response may be suspected if ALT or NITs worsen. The benefit is uncertain if a suboptimal response occurs, and may require an individualized approach and further follow-up.

Background. Delayed graft function (DGF) in deceased-donor kidney transplantation increases morbidity, prolongs hospitalization, and increases healthcare costs. Hypothermic machine perfusion (HMP) has emerged as a promising strategy to reduce DGF; however, large-scale real-world data remain limited. Methods. We performed a retrospective cohort analysis using the Scientific Registry of Transplant Recipients (2014–2024), including adult dialysis-dependent recipients of deceased-donor kidneys preserved using either static cold storage (SCS) or HMP. The primary outcome was DGF, defined as dialysis requirement within 7 d posttransplant. A matched-pairs analysis was conducted using kidneys from the same donor. Results. The overall cohort included 59 859 recipients (46.8% SCS, 53.2% HMP), with 2208 matched pairs identified. In the overall cohort, HMP grafts had longer cold ischemia times and a higher kidney donor risk index. They were more frequently obtained from older and donation after circulatory death donors. Although the overall DGF incidence was higher with HMP (34.4% versus 30.9%, P < 0.001), matched-pairs analysis revealed significantly lower DGF rates with HMP (29.8% versus 36.1%, P < 0.001). Adjusted analyses identified HMP as protective against DGF (overall cohort odds ratio, 0.71; 95% confidence interval, 0.66-0.78; paired cohort OR, 0.68; 95% CI, 0.50-0.93). Additional modifiable risk factors include prolonged cold ischemia time, higher recipient body mass index, and longer dialysis duration. Conclusions. This real-world study demonstrates that HMP is associated with a significant reduction in DGF risk in kidney transplantation compared with SCS, supporting its broader implementation and targeted management of modifiable risk factors.

The first Introduction to Clinical Research for Academic Anesthesiologists (ICRAA) Course took place from July 2024 through April 2025 via online interactive lectures. The 9-month course provided participants with the skills necessary to ethically design research proposals and conduct research projects. Some of the core principles taught included basics of biostatistics, ways to effectively communicate ideas to data analysts, how to write a grant, and tips on writing and analyzing scientific articles. In this report, we summarize the motivation, describe the content, and provide future directions for this initiative, which aims to foster high-quality clinical research among the next generation of academic anesthesiologists.

Despite advances in lipid-lowering and antithrombotic therapy, patients with acute coronary syndromes remain at elevated risk for recurrent events due to persistent atherosclerotic inflammation. This review evaluates inflammation as a therapeutic target in secondary prevention and discusses established, investigational, and emerging strategies. Colchicine, now FDA-approved for cardiovascular risk reduction, lowered major adverse cardiovascular events in COLCOT and LoDoCo2. Canakinumab (IL-1β inhibition) reduced recurrent events in proportion to IL-6 and hsCRP suppression, while ziltivekimab (IL-6 inhibition) achieved profound biomarker reductions but remains investigational. Early-phase studies of anakinra (IL-1 receptor antagonist) and dapansutrile (oral NLRP3 inhibitor) showed anti-inflammatory effects in early trials, whereas varespladib and darapladib illustrated the challenges of targeting lipid-associated pathways. Beyond direct immunomodulators, GLP-1 receptor agonists and SGLT2 inhibitors provide both cardioprotective and anti-inflammatory benefits, reinforcing their expanding role post-ACS. Additional emerging avenues include triptolidiol, dasatinib, and BTK or JAK/STAT inhibitors, while novel approaches, such as nanozyme delivery systems and CRISPR-based editing, extend the therapeutic horizon. This review highlights the potential of inflammation-targeted therapies to advance secondary prevention in ACS by integrating current evidence and perspectives on future therapeutic developments.

Background: During postoperative recovery, patients and their caregivers often lack crucial information, leading to numerous repetitive inquiries that burden healthcare providers. Traditional discharge materials, including paper handouts and patient portals, are often static, overwhelming, or underutilized, leading to patient overwhelm and contributing to unnecessary ER visits and overall healthcare overutilization. Conversational chatbots offer a solution, but Natural Language Processing (NLP) systems are often inflexible and limited in understanding, while powerful Large Language Models (LLMs) are prone to generating “hallucinations”. Objective: To combine the deterministic framework of traditional NLP with the probabilistic capabilities of LLMs, we developed the AI Virtual Assistant (AIVA) Platform. This system utilizes a retrieval-augmented generation (RAG) architecture, integrating Gemini 2.0 Flash with a medically verified knowledge base via Google Vertex AI, to safely deliver dynamic, patient-facing postoperative guidance grounded in validated clinical content. Methods: The AIVA Platform was evaluated through 750 simulated patient interactions derived from 250 unique postoperative queries across 20 high-frequency recovery domains. Three blinded physician reviewers assessed formal system performance, evaluating classification metrics (accuracy, precision, recall, F1-score), relevance (SSI Index), completeness, and consistency (5-point Likert scale). Safety guardrails were tested with 120 out-of-scope queries and 30 emergency escalation scenarios. Additionally, groundedness, fluency, and readability were assessed using automated LLM metrics. Results: The system achieved 98.4% classification accuracy (precision 1.0, recall 0.98, F1-score 0.9899). Physician reviews showed high completeness (4.83/5), consistency (4.49/5), and relevance (SSI Index 2.68/3). Safety guardrails successfully identified 100% of out-of-scope and escalation scenarios. Groundedness evaluations demonstrated strong context precision (0.951), recall (0.910), and faithfulness (0.956), with 95.6% verification agreement. While fluency and semantic alignment were high (BERTScore F1 0.9013, ROUGE-1 0.8377), readability was 11th-grade level (Flesch–Kincaid 46.34). Conclusion: The simulated testing demonstrated strong technical accuracy, safety, and clinical relevance in simulated postoperative care. Its architecture effectively balances flexibility and safety, addressing key limitations of standalone NLP and LLMs. While readability remains a challenge, these findings establish a solid foundation, demonstrating readiness for clinical trials and real-world testing within surgical care pathways.