Background: The American Society of Anesthesiologists Physical Status (ASA-PS) classification is widely used for perioperative communication and research with known variation in agreement amongst assessors. Large language models (LLM) are increasingly considered for uniform decision making due to agreement challenges within clinicians under identical inputs. The study compared four contemporary LLMs against clinician-derived consensus and quantified within-model stability across repeated assessments. Methods: In a cross-sectional vignette study, 228 anesthesiologists from Denmark, England, and India classified 20 standardized perioperative vignettes through online survey. The modal response per vignette was considered as clinician consensus. Four LLMs (ChatGPT-5.2 Plus, Gemini 3 Pro, Perplexity AI Pro, Claude 4 Sonnet) received same set of vignettes through identical prompts. Temporal stability was assessed by repeating each vignette query nine times per model (three-time windows across three nonconsecutive days) in fresh sessions. Primary outcome was exact agreement with clinician consensus. Results: Consensus agreement for modal LLM classifications was 18/20 (90%) for ChatGPT, 17/20 (85%) for Gemini, 17/20 (85%) for Claude, and 15/20 (75%) for Perplexity. Disagreement is clustered in vignettes with weak or split clinician consensus. Stability differed by model: Claude was fully stable across all vignettes (20/20), Gemini 19/20, ChatGPT 18/20, and Perplexity 14/20; instability typically involved adjacent-class shifts. Conclusions: Contemporary LLMs often match clinician modal judgement and are largely temporally stable, with discordance concentrated in clinically ambiguous boundary cases.

Background/Objectives: Intensive postoperative pain is a common challenge after knee surgeries such as total knee arthroplasty, arthroscopy, cruciate ligament or meniscus repair, and fixation of tibial plateau or distal femoral fractures. This scoping review mapped and summarized non-regional postoperative analgesia strategies to provide an overview of available approaches when regional blocks or neuraxial anesthesia are not feasible. Methods: We followed established methodological guidance for scoping reviews and report the data in accordance with the PRISMA-ScR checklist. We searched PubMed/MEDLINE, EMBASE, Scopus, and ClinicalTrials.gov in January 2025. Eligible designs included randomized controlled trials, non-randomized trials, observational studies, case series, and pilot studies. Results: We screened 3390 records and assessed 332 in full text. A total of 43 studies met the inclusion criteria, and the literature was grouped into: (1) arthroplasty, (2) arthroscopy, (3) cruciate ligament or meniscus repair, and (4) tibial plateau or distal femoral fractures. We identified substantial heterogeneity in interventions, comparators, and outcome measures across the first three sets of literature but found no focused articles for tibial plateau or distal femoral fractures. Most studies evaluated multimodal approaches combining systemic analgesics with local periarticular or intraarticular techniques. Evidence on functional recovery and mobilization was limited. Conclusions: Current evidence on non-regional postoperative analgesia in knee surgery is fragmented and varies considerably in design, intervention, and reported outcomes. Multimodal regimens and pre-emptive NSAID use were frequently associated with reduced early postoperative pain and lower opioid requirements, although comparability across studies remains limited. As existing evidence largely focuses on outcomes during hospitalization, future research should prioritize standardized pain and functional outcome reporting and directly compare systemic and local multimodal strategies, while extending follow-up beyond discharge to better characterize sustained clinical relevance.

Background and Aims: Videolaryngoscopy (VL) improves glottic visualisation, yet successful endotracheal intubation may remain challenging. Although this discrepancy is well recognised, the underlying patterns of tube-delivery difficulty (TDD) remain poorly described. Using recorded VL intubations, we aimed to describe patterns of TDD and assess whether these patterns could be reproducibly identified during VL-assisted intubation using a structured classification system. Materials and Methods: In this retrospective observational study, 176 VL recordings obtained during routine clinical practice were reviewed. Videos with adequate visualisation of the glottic inlet and complete recording of the tube-delivery phase were included. TDD was defined as any deviation from smooth tube advancement despite an adequate glottic view. Tube-delivery events were categorised into predefined phenotypes based on trajectory and site of obstruction. Two independent reviewers assessed TDD and phenotype classification. Interrater reliability was evaluated using Cohen’s kappa. Results: Of 176 screened recordings, 150 were included. TDD was identified in 67 (44.7%) cases. The most frequent pattern was excessive posterior trajectory towards the oesophageal inlet (29.9%), followed by subglottic advancement failure after passage through the vocal cords (22.4%), posterior impingement at the arytenoid level (17.9%) and lateral misplacement into the pyriform fossa (14.9%). Interrater agreement was substantial for identification of TDD (observed agreement 88.7%; κ = 0.74) and video-quality grading (86.1%; κ = 0.68) and moderate for phenotype classification (78.0%; κ = 0.61). Conclusion: VL recordings identified distinct, reproducible patterns of TDD. Recognition of these patterns may improve understanding of tube-delivery dynamics and may assist in documentation and future research in difficult airway management.

Background: Post-anesthesia care unit (PACU) duration after total hip arthroplasty (THA) is relevant for ward transfer, early mobilization, and perioperative flow, but is inconsistently reported as a distinct recovery outcome. This study evaluated PACU duration after primary THA under spinal anesthesia in routine hospital-based practice and interpreted the observed duration in relation to contemporary arthroplasty literature. Methods: This retrospective observational cohort study included adult patients undergoing primary THA under spinal anesthesia within two units of a regional hospital. PACU duration was defined as time from PACU arrival until discharge to the orthopedic ward. Demographic, anesthetic, perioperative, and recovery variables were extracted from electronic medical records. Univariate analyses and multivariable linear regression were used to explore factors associated with PACU duration. A focused contextual literature comparison was performed to interpret the observed duration in relation to reported early recovery endpoints, with direct comparison anchored to conventional PACU or recovery-room intervals before ward transfer or immediate pathway progression. Results: Ninety-seven of 150 screened patients were included. Mean PACU duration was 162.3 ± 58.5 min. PACU duration was numerically longer in Unit A than Unit S, but the difference was not statistically significant. Reported early recovery endpoints in the literature were heterogeneous. In univariate analysis, male sex and exploratory spinal local anesthetic dose > 13 mg were associated with longer PACU duration. In multivariable analysis, male sex remained associated with longer PACU duration, whereas spinal dose was not independently associated when analyzed as a continuous variable. Conclusions: PACU duration after THA under spinal anesthesia should be interpreted as a multifactorial, workflow-sensitive outcome rather than a purely anesthetic recovery measure. Differences in discharge criteria, recovery pathways, and endpoint definitions limit direct comparison across studies. PACU duration may be most meaningful as an operational recovery and flow indicator within broadly comparable clinical settings.