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e16535 Background: RMC is a rare and highly aggressive malignancy that predominantly affects young individuals with sickle hemoglobinopathies. Due to its rarity, no validated prognostic models exist to guide clinical decision-making. We aimed to develop and internally validate a prognostic model for patients with RMC using routinely available clinical and laboratory variables. Methods: We analyzed a single-institution cohort of patients with RMC. Candidate variables were identified based on biological plausibility and represented in a directed acyclic graph. Missing data were handled via multiple imputation by chained equations ( m = 50). Variables were ranked using elastic net Cox regression ( α = 0.5, λ = λ min ) with stability selection derived from 100 bootstrap resamples per imputed dataset. Predictors achieving > 60% selection frequency were retained for a nested parsimony analysis. Bootstrap internal validation ( B = 2000) estimated optimism-corrected discrimination and calibration performance, with the calibration slope applied as global shrinkage to penalize final coefficients for overfitting. Clinical utility was evaluated via decision curve analysis (DCA) at 18- and 24-month horizons. Results: Among 180 patients (median age 29; IQR 23–37), 142 deaths occurred with a median follow-up of 12.4 months. The final model included four predictors (Table). The optimism-corrected c-index was 0.667 (optimism = 0.009), and the calibration slope was 0.964, indicating minimal overfitting. Calibration plots showed excellent predicted-observed agreement at 12, 18, 24, and 36 months. DCA showed net benefit across threshold probabilities of 10%–75% at 18 months and 10%–80% at 24 months compared to default strategies. In sensitivity analysis, inclusion of TP53 mutation status improved discrimination ( c -index 0.686) and model fit ( ΔAIC −10.6). An interactive web-based risk calculator was developed to facilitate clinical implementation. Conclusions: This study presents the first internally validated prognostic model for RMC, demonstrating acceptable discrimination and excellent calibration using routinely available variables. By stratifying patients into distinct risk groups, this model may inform treatment intensity—guiding escalation to multi-agent regimens or sequential chemotherapy cycling in high-risk patients, while identifying lower-risk patients who may benefit from de-escalation strategies such as metastasis-directed therapy for oligometastatic disease or consideration of cytoreductive nephrectomy. External validation is warranted. Variable Time Ratio 95% CI p value ECOG performance status 0.64 0.53–0.77 <0.001 Distal (non-retroperitoneal) lymph node metastases 0.69 0.52–0.92 0.011 Neutrophil-to-lymphocyte ratio 0.98 0.94–1.02 0.25 Corrected calcium (mg/dL) 0.77 0.56–1.06 0.10 Sensitivity Analysis Only TP53 Mutation 0.63 0.36-1-10 0.10

Introduction: Although the role of cardiometabolic risk factors (CMRF) has been characterized in steatotic liver disease, their role in the severity of alcohol-associated hepatitis (AH) remains unclear. We aimed to evaluate the impact of CMRF on mortality. Methods: Multinational prospective cohort study (2015–2024) including hospitalized patients with severe AH across 32 centers in 14 countries. Diagnosis of AH was made using the NIAAA criteria. Analyses included adjusted competing-risk models by age, sex, ethnicity, history of cirrhosis, CMRF, corticosteroid use, MELD, and ACLF grade, with liver transplantation as a competing risk. Results: 936 participants were included; mean age 48±11.2 years, and 88.9% were male. At least one CMRF was present in 46.6%; median body mass index (BMI) was 24.2 kg/m 2 [IQR: 22.8–28.2], prevalence of diabetes 17.6%, hypertension 16.5%, and dyslipidemia 5.8%. Median MELD was 24.4 [19.3–31.4], 86.7% had severe AH, and 180-day survival was 72.9%. Survival did not differ by CMRF status (log-rank p =0.453). In adjusted competing-risk models, higher age (sHR 1.02; 95%CI:1.01–1.04), greater alcohol intake (per g/day; sHR 1.001; 95%CI:1.000–1.002), MELD (sHR 1.04; 95%CI:1.01–1.06), and ACLF grade 2–3 (sHR 2.34 and 4.34) predicted mortality. However, no individual CMRF independently increased mortality. A prespecified non-linear BMI analysis showed modestly lower mortality between 25–40 kg/m², with a higher risk above 40 kg/m². Conclusion: Among patients with severe AH, metabolic dysfunction was not associated with increased mortality. Although a higher BMI was associated with slightly lower mortality in AH, this may reflect better nutritional status rather than a true protective effect.

INTRODUCTION: Nosocomial infections (NIs) in cirrhosis are associated with high mortality but could be preventable. Logistic regression (LR) models have failed to identify high-risk patients. We aimed to develop machine learning (ML) models to predict NI. METHODS: The CLEARED consortium consists of prospectively enrolled cirrhosis inpatients from >120 centers. Using day-of-admission clinical data, 3 ML approaches (random forest [RF], extreme gradient boosting, and neural networks [NNs]) were used to predict NI. Data were split 80:20 for training and testing stratified by the outcome. Models were compared using area under the receiver operating characteristic curve (AUC). RESULTS: In total, 8,263 patients (55.90 ± 13.34 years; 64.1% men) from 127 centers in 37 countries were included. NI developed in 869 (10.5%), a median of 6 (4–11) days of postadmission. Major NIs were respiratory (29.6%) and urinary tract infection (15.7%), and spontaneous bacterial peritonitis (13.5%). NIs occurred more frequently in patients from low/low-middle income countries and those with severe liver disease, alcohol etiology, and admission infections. NIs were associated with inpatient mortality (31.9% vs 8.1%, P < 0.001) and liver transplantation (4.8% vs 1.9%, P < 0.001). Although the RF model (AUC 0.69) showed good calibration (Brier score 0.09), outperforming extreme gradient boosting, neural network, and LR models (AUC 0.66 for all; LR comparison P = 0.043), no model achieved AUC ≥0.80 for clinical utility. At 10% predicted probability threshold, the RF model demonstrated only 75.4% sensitivity, 52.9% specificity, and 15.9% positive predictive value (PPV). DISCUSSION: NIs cannot be accurately predicted from day-of-admission data using ML models, even in a large, prospective, global cirrhosis cohort. Every hospitalized patient with cirrhosis should receive protocolized infection control measures.

Background: The most critical exam components in patients seeking rhinoplasty have not been established. Objective: To identify concordance among experienced rhinoplasty surgeons regarding the most important exam features for various deformities. Methods: An online questionnaire was distributed to board-certified facial plastic and plastic surgeons experienced in rhinoplasty, with seven nasal deformity categories: dorsal hump, crooked nose, boxy tip, pinched tip, droopy tip, saddle nose, and nonallergic nasal obstruction. For each, respondents were asked to rank the three most important anatomic regions to examine from the following: nasal bones, midvault cartilage, skin, radix, facial profile, lip, tip, septum, internal nasal valve, nostrils, inferior and middle turbinates. For each ranked region, up to three important features were chosen. Normalized Attention Scores (NAS) were calculated to determine agreement amongst surgeons. Results: A total of 13 facial plastic and 8 plastic surgeons were invited to participate and completed the questionnaire. All cases had high agreement demonstrated by NAS, with the dorsal hump case exhibiting the greatest variability in responses. Conclusions: In this survey of 21 rhinoplasty surgeons, there was general agreement regarding the most relevant anatomical structures and features, which may provide a conceptual foundation for identifying key exam features for seven common complaints in patients seeking rhinoplasty.

Abstract Background: Specialised knowledge in adult congenital heart disease is crucial but often lacking, particularly in resource-limited settings. The Global Conversations in Adult Congenital Heart Disease webinar series was initiated to provide accessible, global education via virtual platforms. Objective: This study evaluates the attendance patterns, participant demographics, knowledge outcomes, and audience feedback of the Global Conversations in Adult Congenital Heart Disease webinar series , analysing 19 monthly sessions conducted from October 2023 to April 2025. Methods: Registration data, session viewership, and total series reach were recorded. Demographics were collected per session. Pre- and post-session quizzes were used to assess changes in knowledge; scores from these independent groups were compared using the Mann–Whitney U test. Post-webinar surveys collected improvement suggestions. Results: Out of 1,956 registrants from 89 countries, 54.6% attended the sessions, representing 1,068 participants from 64 nations: mainly Colombia (30.9%), Peru (18%), the USA (14.1%), and Mexico (9.9%). Median quiz scores improved from 50% pre-session ( n = 120) to 100% post-session ( n = 108), a statistically significant gain ( p = 0.035). Notably, 29% had no prior adult congenital heart disease education. Most post-webinar survey respondents rated case presentations and discussions as excellent (75.0%) or good (20.1%). Qualitative feedback suggested areas for improvement included audiovisual quality, audience engagement, content delivery, and language accessibility. Conclusion: The Global Conversations in Adult Congenital Heart Disease webinar series successfully engaged a diverse international audience and showed significant differences in quiz scores between pre- and post-session independent groups, demonstrating the potential benefit and feasibility of virtual education in bridging gaps in adult congenital heart disease training, particularly in resource-limited countries.

Abstract Introduction Revascularization to prevent limb loss is not feasible or represents a very high risk in a significant proportion of patients with chronic limb-threatening ischaemia (CLTI). No standard definition currently exists to define this population of patients. The aim of this study was to develop a consensus-based, multidomain definition to improve clinical assessment and reporting of studies in people with ‘no option’ (NO) or ‘poor option’ (PO) CLTI. Methods A modified Delphi process was conducted with 164 specialists from 30 countries. Two iterative survey rounds were used to reach consensus, defined as ≥70% agreement with a score of ≥7 on a nine-point scale. Results Some 164 international vascular specialists participated in the study, averaging 19 years of experience. A multidomain framework including arterial disease anatomy, biology, risk, function, and context (ABRFC) achieved 83% consensus. A ‘desert foot’ was defined as the absence of distal arterial revascularization targets on advanced non-invasive imaging, invasive digital subtraction angiography, and at least one failed endovascular revascularization attempt (81.6% agreement). Inadequate autogenous bypass conduit was defined as the lack of usable autologous vein across all four limbs (85% agreement). Patients were classified as NO for revascularization if they present with ‘desert foot’, prohibitive medical risk, a non-functional limb, or in those patients who refused arterial revascularization. PO revascularization patients combined factors such as severe infection, lack of autologous vein, or treatment non-compliance (72.1% agreement). Conclusion This consensus study established a structured, expert-validated definition of no option or poor option for revascularisation of patients with CLTI. The multidomain ABRFC framework provides a foundation for standardized clinical assessment, trial design, and future guideline development.

Abstract Monoclonal gammopathy of undetermined significance (MGUS) is a necessary precursor condition to multiple myeloma (MM). Given the role of autophagy in modulating MM risk, we investigated whether genetic variation in autophagy‐related genes influences susceptibility to MGUS. We analyzed the association of 34,042 common autophagy‐related single nucleotide polymorphisms (SNPs) with MGUS across six independent cohorts, five from Europe and one from North America, comprising 2317 MGUS cases and 282,358 controls. We also assessed their impact on immune parameters, including absolute counts of 91 blood‐derived immune cell subsets and 103 circulating immunological proteins. Meta‐analysis revealed a genome‐wide significant association between the ULK4 rs6599175C allele and increased MGUS risk ( p = 3.35 × 10 −8 ). Carriers of this allele showed reduced counts of memory B cell subsets (IgM+CD38+CD27+ and IgD+IgM+CD27+; p = .0038 and p = .0056, respectively) and natural effector B cells (CD24+CD38+IgD+IgM+ cells; p = .0060). Although these associations were not statistically significant after multiple testing correction, they suggest a role of ULK4 in early B‐cell differentiation. Additionally, the CDKN2A rs2811710 variant showed a suggestive association with MGUS risk ( p = 2.17 × 10 −4 ), affecting transcription factor binding involved in B‐cell proliferation and differentiation, although it lacked association with immune markers. In conclusion, we confirm a genome‐wide significant association of the ULK4 locus and MGUS risk, supporting its role in early B‐cell differentiation, and identify CDKN2A as a candidate susceptibility locus warranting further investigation.

TPS276 Background: Metastatic castration-resistant prostate cancer (mCRPC) can evolve into a neuroendocrine-like subtype with aggressive behavior and poor outcomes (1). Nuclear Receptor-Binding SET Domain Protein 2 (NSD2) is overexpressed in prostate cancer and is a driver of both androgen-receptor (AR)-dependent signaling and of neuroendocrine differentiation, where cancer cells lose AR dependence and response to AR pathway inhibitors (ARPIs) (2,3,4). In studies of patient-derived neuroendocrine prostate cancer (NEPC) models, genetic depletion of NSD2 led to restoration of AR expression, reversal of adeno-to-neuroendocrine differentiation, and re-sensitization to ARPI (4). We hypothesize that NSD2 inhibition can reverse resistance to ARPIs in patients with progressive mCRPC, including with neuroendocrine differentiation. KTX-2001 is an oral, potent and selective small molecule inhibitor of NSD2. It is the sponsor’s second NSD2 inhibitor to enter the clinic. The sponsor’s first in class NSD2 inhibitor, KTX-1001, was shown to be tolerable and have preliminary efficacy in patients with relapsed/refractory multiple myeloma (5). Methods: STRIKE-001 (NCT07103018) is a multicenter, open-label phase 1 dose escalation trial of KTX-2001 monotherapy (Part A) and KTX-2001 + darolutamide (Part B). Key inclusion criteria are males age ≥18 years with mCRPC, progression after receiving ARPI, Eastern Cooperative Oncology Group performance score of 0-1, willingness to undergo biopsy if safe and feasible, and life expectancy of ≥6 months. Participants take KTX-2001 by mouth once daily alone (Part A) or with darolutamide 600 mg twice daily (Part B). Dose escalation of KTX-2001 in Parts A and B will follow a 3+3 design and occur in parallel at multiple planned dose levels. Primary objectives are to assess the safety and tolerability, determine MTD, and determine RP2D(s) for further study of KTX-2001 alone and in combination with darolutamide. Secondary objectives include characterization of efficacy and PK parameters for both KTX-2001 monotherapy and in combination with darolutamide. Exploratory objectives include study of pharmacodynamic effects, circulating tumor cells, and cell-free DNA. 1. Conteduca V, Eur J Cancer 2019. 2. Parolia A, Nat Genet 2024. 3. Aytes A, Nat Commun 2018 4. Li J, bioRxiv 2023.07.18.549585 5. Bories P, Blood Vol 144, Suppl 1,2024. Clinical trial information: NCT07103018 .

Objective Posterior reversible encephalopathy syndrome (PRES) is a clinicoradiological diagnosis that can be associated with SLE. The clinical presentation, risk factors and outcomes of PRES in patients with SLE remain insufficiently described. Methods We conducted a multicentre cohort study at the Mayo Clinic and performed a systematic literature review (SLR) of patients with incident PRES and SLE. We described the clinical features, treatments and outcomes. Across both the cohort study and SLR, we assessed neurological sequelae, recurrence and survival. Within the cohort study, we examined PRES risk factors and discontinuation of antiseizure medications (ASMs). We used logistic regression to evaluate factors associated with neurological sequelae and Cox regression to assess predictors of recurrence. Kaplan-Meier methods estimated the rates of recurrence, survival and ASMs discontinuation. Results 550 cases (53 from the cohort study) were included, of whom 92% were female. Across both cohort and SLR, the most common symptom was seizure, occurring in 80%. PRES was the first manifestation of SLE in 13% of cases. In the adjusted analysis, older age was associated with neurological sequelae (OR 1.63 per 10-year increase; 95% CI 1.12 to 2.39). After 5 years of follow-up, 11.5% (95% CI 2.3 to 19.9%) of patients had a recurrent PRES episode. 30-day and 180-day survival following PRES was observed in 96.3% (95% CI 93.5 to 99.1%) and 93.7% (95% CI 89.8 to 97.7%) patients, respectively. In the Mayo Clinic cohort, 81% of PRES cases were attributed to hypertension in the context of lupus nephritis (LN), and by the fifth year of follow-up, 78.1% (95% CI 58.7 to 88.4%) of patients had discontinued ASMs. Conclusions In this cohort, most of the incident PRES episodes were preceded by hypertension and occurred in patients with LN. Although short-term and long-term prognoses are favourable, older patients more frequently experienced neurological sequelae.

Abstract We investigated the influence of 55 583 autophagy-related single-nucleotide polymorphisms (SNPs) on chronic lymphocytic leukemia (CLL) risk across 4 independent populations comprising 5472 CLL cases and 726 465 controls. We also examined their impact on overall survival (OS), time to first treatment (TTFT), autophagy flux, and immune responses. A meta-analysis of the 4 populations identified, to our knowledge, for the first time, significant associations between CDKN2A (rs3731204) and BCL2 (rs4940571, rs12457371, and rs1026825) SNPs and CLL risk, with CDKN2A showing the strongest association (P = 1.57 × 10−12). We also validated previously reported associations for FAS, BCL2, and BAK1 SNPs with CLL risk (P = 4.73 × 10−21 to 3.39 × 10−9). The CDKN2Ars3731204 and FASrs1926194 SNPs associated with increased CDKN2A and ACTA2 messenger RNA expression levels in the whole blood and/or lymphocytes (P = 5.1 × 10−7, P = 1.58 × 10−21, and P = 7.8 × 10−41), although no significant effect on autophagy flux was observed. However, associations were found between CDKN2A, BCL2, and FAS SNPs and various T-cell subsets, cytokine production, and circulating concentrations of interferon gamma, tumor necrosis factor–related apoptosis-inducing ligand, CD40, chemokine ligand 20, and interleukin-2 receptor subunit β proteins (P ≤ .005). No significant association was detected between autophagy variants and OS or TTFT, suggesting that these variants drive disease initiation rather than progression. In conclusion, this study identified 4 novel associations for CLL and provided insights into the biological pathways that influence CLL development.