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IntroductionAlcohol withdrawal syndrome (AWS) is among the most severe components of alcohol dependence (AD). Severe AWS, especially complicated with seizures and delirium, was a common reason for medical complications and death. The introduction of benzodiazepines decreased but did not eliminate those risks. The definition of AWS evolved in different versions of Diagnostic and Statistical Manual for Mental Disorders (DSM) from having hand tremor plus one or more other symptoms in DSM-III-R to any two or more symptoms in DSM-IV, which was retained in the current version of DSM-5.ObjectivesComparing subgroups of individuals with AUD based on AWS symptoms profile to define phenotypes for investigation of biological underpinnings of AWS phenomenology and treatment response.MethodsTreatment-seeking individuals diagnosed with DSM-IV alcohol dependence (AD; n=473; 35.5% females) were assessed with Psychiatric Research Interview for Substance and Mental Disorders (PRISM), Timeline Follow back (past 90 days) alcohol consumption, Penn Alcohol Craving Scale (PACS), Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ9), and General Anxiety Disorder-7 (GAD-7). Latent class analysis was used to classify subjects according to lifetime prevalence of AWS symptoms according to DSM-III-R or DSM-IV/5. Demographic and other clinical variables were compared among clusters by linear model ANOVA and chi-squared test.ResultsFour clusters were identified: subjects with (1) no history of meeting any AWS criteria (n=50); (4) with complete number of AWS symptoms, meeting both DSM definitions (n=259); and two clusters of subjects with smaller number of AWS symptoms: (3) those meeting only DSM-IV/5 criteria (n=94) and (2) those also meeting DSM-III-R criteria (n=70). Compared to cluster 2, the Cluster 3 members had higher frequency of anxiety, insomnia, and restlessness during withdrawal. The clusters also differed in the total number of drinks (p=0.021), average drinks per drinking days (p=0.013), history of anxiety disorder (p=0.006), substance-induced depression (p=0.019), and higher scores of PSQI (p<0.001), PHQ9 (p<0.001), and GAD-7 (p<0.001) with a relative increase in frequency between clusters as follows 1<2<3<4. Group 4 also had the highest percentages of subjects with history of seizure, delirium or hallucinations.ConclusionsDifferent definitions of AWS capture clusters of AD patients with different symptomatology, comorbidity and consumption patterns. Understanding of biological underpinnings behind those differences may guide improvement in personalized treatment selection.Disclosure of InterestNone Declared

Introduction Bipolar disorder (BD) is a chronic illness affecting approximately 2-3% adults worldwide. Mood stabilizers, such as lithium, valproate, carbamazepine, and lamotrigine are mainstays of the treatment. Despite their benefits, mood stabilizers carry a risk of side effects, which can lead to treatment discontinuation and non-adherence rates ranging from 10 to 60% in BD patients (Dols et al. Int Clin Psychopharmacol 2013; 28, 287-296). Dermatologic side effects, also known as cutaneous adverse drug reactions, are particularly distressing, often impacting patients’ self-esteem and social interactions, and contributing to non-compliance. These reactions can range in severity from mild rashes, acneiform eruptions, hair loss and psoriasis to severe, life-threatening conditions like Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) (Mitkov et al. Psychosomatics 2014; 55, 1-20).Objectives Despite the well-documented association between mood stabilizers and dermatologic adverse effects (AE), the overall prevalence of these reactions across mood stabilizers remains unclear. This systematic review and meta-analysis aims (1) to estimate the prevalence of dermatologic AE associated with mood stabilizer (lithium, valproate, carbamazepine and lamotrigine) use in patients with BD, and (2) to summarize the available evidence on the onset and timing of these reactions.MethodsWe searched Ovid MEDLINE®, Embase, Cochrane Library, Web of Science, Scopus, and PsycINFO from 1970 onward for studies on dermatologic AEs in BD patients treated with lithium, valproate, carbamazepine, or lamotrigine (CRD42022357268). Study selection, data extraction, and bias risk assessment were performed by two reviewers. Meta-analyses were conducted to estimate the prevalence rates for dermatologic AEs.ResultsThe initial database searches yielded 5,354 studies. 47 articles were deemed relevant and included in this systematic review. Study designs included 16 randomized controlled trials, 10 non-randomized open-label trials, 12 cohort studies, and 9 cross-sectional studies. Lithium was associated with acneiform eruptions in 4.4% (95% CI: 1.0-17.0%), rash in 1.8% (95% CI: 0.7-4.8%), and hair loss in 1.7% (95% CI: 0.4%-6.4%) of patients. For valproate, hair loss was observed in 4.6% of patients (95% CI: 3.0-6.7%) and rash in 2.9% (95% CI: 1.6-5.3%). Carbamazepine was associated with rash in 6.0% of patients (95% CI: 4.4-7.6%), but severe reactions such as SJS and TEN were not reported. Lamotrigine had the highest rash prevalence with 9.2% (95% CI: 7.2-11.8%), while severe reactions were rare (0.04%, 95% CI: 0.00-0.63%).Conclusions Mood stabilizers showed varying levels of dermatologic AEs, but severe reactions were rare. Future studies should explore factors influencing these outcomes, their impact on quality of life and treatment participation, and potential management strategies.Disclosure of InterestNone Declared

IntroductionBipolar disorder (BD) is a chronic illness that can lead to severe functioning impairment, which can disrupt daily life. This study aims to compare overall functioning and clinical presentation associated with early onset (EO) and mid-life onset (MO) BD.ObjectivesThe objective of this study is to be able to predict the cognitive and functional impairment evolution of bipolar disorder based on the onset.MethodsA total of 154 BD patients (81 in euthymia and 51 in a depressive episode) participated in this cross-sectional study. We selected two groups of subjects based on age at onset of the first mood episode (EO: 0-20 years, n=117; MO: 20-40 years, n=37) and compared socio-demographic, clinical variables and functional impairment assessed by the World Health Organization Disability Assessment Schedule (WHODAS 2.0).Results75.2% of the patients with an EO were female, they had higher psychiatric comorbidities prevalence (76.1% vs. 43.2%; p<.001), being personality disorders the most significant (30.2% vs. 5.4%; p=.001), more suicide attempts (51.3% vs. 16.2%; p<.001), mood episodes (mdn=12, iqr=17 vs. mdn=6, iqr=9.5; p=.001), childhood abuse (93.5% vs. 73.9%; p=.014), being verbal (78.0% vs. 52.2%; p=.015) and physical abuse (51.6% vs. 21.7%; p=.009) higher compared to MO. Functionality was also affected, with higher dysfunction percentages in EO (mdn=47, iqr=34.7 vs. mdn=24, iqr=12.5; p<.001) affecting cognition (mdn=8.5, iqr=6 vs. mdn=4, iqr=7; p<.001), self-care (mdn=2, iqr=5 vs. mdn=0, iqr=1; p<.001), daily activities (mdn=12, iqr=13 vs. mdn=4, iqr=10; p<.001) and community participation (mdn=13, iqr=8.7 vs. mdn=8, iqr=7; p<.001).EO depressed patients (n=38; F: 30; M: 8), had more personality disorders (42.1% vs. 0%; p=.010), suicide attempts (60.5% vs. 0%; p<.001), mood episodes (mdn=12, iqr=12 vs. mdn=5.5, iqr=4.7; p=.001), lower overall functionality (mdn=57, iqr=41.5 vs. mdn=35, iqr=38.3; p=.009), cognition (mdn=10, iqr=6.5 vs. mdn=4, iqr=9; p=.023), self-care (mdn=4, iqr=6.2 vs. mdn=0, iqr=3; p=.008), oneself care (mdn=9, iqr =7 vs. mdn=5, iqr=8.5; p=.025), daily activities (mdn=15.5, iqr=14 vs. mdn=11, iqr=12.7; p=.037) and community participation (mdn= 15.5, iqr=8.2 vs. mdn=11.5, iqr=5.7; p=.030).EO euthymic patients (n=59; F: 42; M: 17) had more psychiatric comorbidities (74.6% vs. 33.3%; p=.001), physical abuse history (51.2% vs. 0%; p= .002), and lower functionality (mdn=7, iqr=7 vs. mdn=2, iqr=7; p=.004), cognition (mdn=7.5, iqr=7 vs. mdn=4, iqr=7; p=.033), daily activities (mdn=9, iqr=11 vs. mdn=3, iqr=8.5; p=.005) and community participation (mdn=10, iqr=9 vs. mdn= 7, iqr=7; p=.031).ConclusionsResults suggest that patients with an EO are more associated with severe psychosocial functioning impairment. Future studies are needed to clarify a more severe illness prediction between EO and MO.Disclosure of InterestNone Declared

When long bones fracture, healing occurs spontaneously in about 90% of cases, while the remaining 10% result in non-union, presenting significant clinical challenges. The standard treatment for non-unions is autologous bone grafting, but this approach has limitations, including high complication rates, donor site morbidity, and limited graft availability. An alternative strategy involves using growth factors to promote bone regeneration, with recombinant bone morphogenetic protein-2 (rBMP-2) being the most common. Although effective, rBMP-2 requires supra-physiological doses that cause inflammation, poor bone quality, and severe side effects. Our previous work suggests that genetic delivery of BMP-2 may offer more controlled healing. We aim to develop a more effective therapy for non-unions using adeno-associated viral vectors. By lyophilizing the vector onto a scaffold, we also aim to increase treatment potency, reduce leakage, and improve transduction using cryoprotectant buffers.AAV6-GFP-Luciferase was used to compare the activity of AAV6 stored at −80°C versus lyophilized in cryoprotectant buffer. A rat critical-sized defect model was employed, as described in [1]. For standard storage, AAV was added to the collagen sponge before implantation into a 5mm defect. For lyophilization, AAV was mixed with cryoprotectant, loaded onto the sponge, and lyophilized. Rats were imaged at 7- and 10-days using IVIS. To assess therapeutic relevance, the experiment was repeated with AAV6-BMP2-IL1Ra, implanted into 5mm femoral defects on collagen sponges, with healing monitored by X-ray every 4 weeks (continuing through 12-weeks post-operation).The reporter and therapeutic vectors showed improved transduction efficiency with lyophilization. The reporter vector exhibited higher transgene expression at days 7 and 10. This boost in expression either remained significant through 4 weeks or continued to show better signal at that time, correlating with improved healing seen in the X-rays (Fig. 2).Preliminary data suggest that lyophilization could reduce the therapeutic dose of AAV needed for treating osseous nonunion with a bicistronic vector. Lyophilization offers various benefits: enhanced transduction efficiency, improved stability of the gene product at logistically feasible conditions, and reduced off-target effects due to less AAV leakage from the implantation site. While in vivo experiments with AAV6-BMP2-IL1Ra are ongoing, these findings warrant further investigation into lyophilized AAV therapies for this application.For any figures or tables, please contact the authors directly.

Objective Closed-source large language models (LLMs) like generative pre-trained transformer 4o (GPT-4o) have shown promise for clinical information extraction but are potentially limited by cost, data security concerns and inflexibility. Open-source models are an attractive alternative with various adaptation strategies with no consensus on best practices. This study aims to rigorously identify optimal adaptation strategies for open-source models and evaluate their performance relative to closed-source alternatives. Methods and Analysis We studied three LLM adaptation strategies: chain-of-thought prompting, few-shot prompting and fine-tuning. Our target for information extraction was the Mayo Endoscopic Subscore (MES). We applied those strategies in all combinations to six open-source models (8–70 billion parameters) using an annotated set of colonoscopy procedure reports from the University of California, San Francisco (N=608) and San Francisco General Hospital (N=217). We analysed the relationship of these strategies to several performance metrics with a mixed-effects model, accounting for the variability between centres and LLMs. GPT-4o served as a closed-source oracle and provided in-depth commentary on the cost-effectiveness of these options. Results Quantised low-rank adaptation (QLoRA) statistically improves ( p §amp;lt; 0.001 ) ) the performance of open-source LLMs by 9.1–15.7 percentage points across accuracy, precision recall and annotation eligibility accuracy. However, GPT-4o with prompt engineering outperforms the best open-source model by 4.9%–11.2%. A simple cost-effectiveness analysis suggests that GPT-4o is more affordable compared with open-source alternatives. Conclusion GPT-4o is currently the most efficient LLM for MES extraction. If unavailable, QLoRA-optimised open-source models are a competitive alternative. However, results also suggest that current instruction-following LLMs including GPT-4o do not fully follow user-provided instructions, leaving room for improvement. More work is needed to achieve consistent, near-perfect performance in clinical information extraction by LLMs.

ABSTRACTWith the global rollout of COVID‐19 vaccines, vaccine safety remains a priority. Emerging concerns have raised the potential risk of a long COVID‐like syndrome following vaccination, informally called long Vax and provisionally termed post‐COVID‐19 vaccination syndrome (PCVS). Our narrative review describes the putative manifestation, pathophysiology, and therapeutic approaches of PCVS based on the available evidence, mostly from case reports/series and observational studies. Our review noted that PCVS typically manifests within days to weeks post‐vaccination, with symptoms lasting months to years. PCVS may present as recognized diagnoses such as postural orthostatic tachycardia syndrome (POTS), small‐fibre neuropathy (SFN), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), or as long‐term sequelae of myocarditis, vaccine‐induced thrombotic thrombocytopaenia (VITT), or immune thrombocytopaenia purpura (ITP). Symptomatically, PCVS overlaps with long COVID, such as fatigue and brain fog, but PCVS may involve more frequent paraesthesia and less dyspnoea. We also review pathophysiological hypotheses of PCVS, focussing on the vaccine‐derived spike protein and related immune responses. Finally, we discuss potential therapies used to treat patients with PCVS or related conditions, primarily documented in case reports/series, which could guide future clinical research. Overall, PCVS remains a poorly understood condition that requires more research to elucidate its prevalence, prognosis, risk factors, and treatments.

Abstract Objective This study aims to better characterize the long‐term neurological quality of life (QOL) outcomes (using the Neuro‐QOL scale) in survivors of new onset refractory status epilepticus (NORSE), including its subtype febrile infection‐related epilepsy syndrome (FIRES), and provide guidance for psychological and social support strategies. Methods Utilizing data from a multicenter prospective study of NORSE/FIRES led by Yale University, we enrolled patients who completed the validated, patient‐reported Neuro‐QOL scale at least once at 3–6 months ( n = 37), 12 months ( n = 29), 24 months ( n = 23), or ≥36 months ( n = 9) following discharge. The Neuro‐QOL scale assesses physical, mental, and social health in patients with neurological disorders. QOL impairment (QOL‐I) scores were calculated, with higher scores indicating greater impairment. T ‐scores enabled comparisons with reference populations. Results In adults, median QOL‐I improved from 44.1% at 3–6 months to 37.6% at 36+ months. Paired analysis showed significant improvement in QOL‐I between 3–6 and 24 months ( p = .016), with specific improvements in communication, satisfaction with social roles, fatigue, and mobility. Greater improvement was also observed for participation in social roles (5.5‐point T ‐score gain) compared to the reference population, suggesting meaningful change. A gradual improvement in overall QOL‐I scores was also observed in pediatric participants, despite a modest sample size ( n = 5 with data at 3–6 and 12 months). Measures of fatigue and anxiety persisted in adults, and cognitive difficulties persisted in both adults and children. In adults, longer status epilepticus duration and intensive care unit stay were associated with poorer QOL. Additionally, a higher number of antiseizure medications was associated with more depression, cognitive impairments, and perceived stigma. Significance These findings highlight the potential for recovery following an acute episode of NORSE, although many patients continue to face challenges requiring ongoing support, and the clinical meaning of the reported QOL improvement remains unclear. Furthermore, the findings underscore the importance of strategic multidisciplinary support systems in the years following discharge.