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Introduction/Background: Cardiopulmonary arrest (Code Blue or CB) is a feared complication of severe medical illnesses. In-hospital CB events (CBE) have been estimated to have a mortality rate of only 30.4%. CBEsare difficult to prepare for and execute due many factors, including their low frequency, high complexity, and unpredictability. Research Questions/Hypothesis: Over 6 months (March - September 2019), we tested the effects of both adaptation of a Code Blue (CB) Team Leader (TL) checklist—aimed at improving resident leadership and communication—as well as implementation of an interdisciplinary in-hospital CB simulation to improve the performance of both resident physicians. Methods/Approach: Primary outcomes included change in resident confidence leading a CBE (i.e. Level of comfort as TL , confidence of diagnosis and management, confidence in code-related procedural skills), and familiarity with the institutional rapid response protocol. Secondary outcomes included self-reported confidence of nurses to execute their role, and both physician and nurse time to response. Confidence parameters were measured by a 10 point Likert scale. Pre-intervention, baseline cross-sectional survey values of the primary outcome were obtained from 24 internal medicine residents (12 PGY2s, 12 PGY3) over 6 months. Post-intervention, the cross-sectional survey was repeated. Results/Data (descriptive and inferential statistics): Statistics for residents displayed in table and figure 1. The level of nurse confidence increased from 7.5 to 8.25 over 5 months. The time to first response by residents has decreased by more than 50%. Conclusion(s) Our project improved the quality and resident level of comfort running Code Blue events among both residents and nurses.

Background: Catheter ablation is an effective tool to reduce ventricular tachycardia (VT) burden. There is a lack of robust data studying the characteristics and outcomes of VT ablation in patients with ischemic (ICM) versus non-ischemic cardiomyopathy (NICM). Aims: The aim of this study was to assess the impact of ICM vs NICM on outcomes of VT ablation. Methods: A single-center, retrospective study of patients undergoing catheter ablation for VT was conducted. Results: A total of 168 patients, undergoing 200 VT ablation procedures, were included in this study. NICM group (112 procedures) was compared to ICM group (88 procedures). Patients in the ICM group were older (66.6 ± 13.4 vs 58.9 ± 14.4 years) and had higher rates of prior myocardial infarction (65.9% vs 3.6) and coronary artery bypass graft surgery (40.9% vs 1.8%). Overall, ICM group had more comorbidities like hypertension (80.7% vs 52.7%), diabetes mellitus (23.9% vs 12.5%), chronic kidney disease (45.5% vs 35.7%), stroke (17% vs 7.1%), and lower left ventricular ejection fraction (36.8 ± 13.2% vs 43.1 ± 14.7%). The ICM group had lower incidence of prior cardiac valvular surgery (9.1% vs 29.5%). The inducibility of VT (93% vs 93.5%; p= 1.0) and the number of different VT morphologies induced during the case (1.9 ± 1.5 vs 2.3 ± 2.5; p=0.19) was similar between the two groups. There was no acute mortality in either group. There was a non-significant trend towards greater VT recurrence in the NICM group (43.2% vs 33.3%, p= 0.19). However, patients with NICM had a lower VT-free survival as determined by Kaplan-Meier analysis (p=0.05) [Figure]. Long term mortality was higher in ICM group when compared to NICM group (18.2% vs 8.9%, p<0.01). Conclusion: Patients undergoing VT ablation in the NICM group when compared to the ICM group were noted to be younger, had fewer comorbidities, and lower long-term mortality. However, they had significantly less VT-free survival, likely owing to more challenging substrate responsible for VT.

Introduction: Accurate pre-procedure localization of the premature ventricular contractions (PVCs) is critical in preparing for the ablation. So far, no tools exist for artificial intelligence guided PVC-localization. Hypothesis: Trained deep learning model will be able to predict the site of origin (SOO) of PVCs using 12 lead electrocardiogram (ECG). Methods: We analyzed 707 ECG-ablation pairs from 2403 patients who had at least one ECG flagged for PVCs in the 6 months prior to their procedure. First, we used a cohort of 100,000 ECGs without PVCs and 10,000 ECGs with PVCs to train a convolutional neural network (CNN) to isolate the ECG segments with PVCs in them from a 12-lead ECG (Figure 1). We then trained two models, one utilizing a 10-second 12-lead ECG, and the other with just the isolated PVC beats as input. The models were trained using the Keras framework with TensorFlow (Google). Results: The mean age of the patients in the cohort was 61.2 ± 15.0 years. 66.3 percent of patients underwent left ventricle ablation, 54.6 percent had outflow ablation, and 55.3 percent had ablation of sites with leftward axis (septal location for midline and left ventricle PVCs). The model trained on 10-second ECGs yielded validation and test AUCs of 0.941 and 0.931 for outflow, 0.898 and 0.891 for ventricle, and 0.863 and 0.846 for leftward axis (Figure 1A). The model trained on isolated segments containing PVC beats yielded validation and test AUCs of 0.966 and 0.957 for outflow, 0.879 and 0.907 for ventricle, and 0.846 and 0.829 for SOO for leftward axis (Figure 1B). Conclusions: We have trained an accurate convolutional neural network that can predict SOO using the surface ECG. Further fine-tuning would be needed to refine the model and develop prediction of specific sites.

Background: Sensors within smartphones, such as accelerometer and location, can describe longitudinal markers of behavior as represented through devices in a method called digital phenotyping. This study aimed to assess the feasibility of digital phenotyping for patients with alcohol-associated liver disease and alcohol use disorder, determine correlations between smartphone data and alcohol craving, and establish power assessment for future studies to prognosticate clinical outcomes. Methods: A total of 24 individuals with alcohol-associated liver disease and alcohol use disorder were instructed to download the AWARE application to collect continuous sensor data and complete daily ecological momentary assessments on alcohol craving and mood for up to 30 days. Data from sensor streams were processed into features like accelerometer magnitude, number of calls, and location entropy, which were used for statistical analysis. We used repeated measures correlation for longitudinal data to evaluate associations between sensors and ecological momentary assessments and standard Pearson correlation to evaluate within-individual relationships between sensors and craving. Results: Alcohol craving significantly correlated with mood obtained from ecological momentary assessments. Across all sensors, features associated with craving were also significantly correlated with all moods (eg, loneliness and stress) except boredom. Individual-level analysis revealed significant relationships between craving and features of location entropy and average accelerometer magnitude. Conclusions: Smartphone sensors may serve as markers for alcohol craving and mood in alcohol-associated liver disease and alcohol use disorder. Findings suggest that location-based and accelerometer-based features may be associated with alcohol craving. However, data missingness and low participant retention remain challenges. Future studies are needed for further digital phenotyping of relapse risk and progression of liver disease.

Background: For patients with relapsed and refractory (R/R) classical Hodgkin lymphoma (HL), the standard of care remains salvage therapy followed by autologous stem cell transplant (ASCT) for responding patients. Historical data suggest 40% of patients may relapse after ASCT, and these patients have generally a poor median overall survival (OS) of less than 2 years (Moskowitz et al., Br J Haematol. 2009;146(2):158-62). However, since these reports, the treatment landscape of R/R HL has dramatically improved, most notably with the introduction of two novel therapies, brentuximab vedotin (BV) and anti-PD1 agents. To refine our understanding of clinical outcomes in this context, we characterized patients who relapsed after ASCT in the modern era. Methods: We used a multicenter retrospective patient database at 5 transplant centers in the United States to identify patients with HL aged ≥ 12 years at diagnosis who had received ASCT on or after 1/1/2010. The primary objective was to determine the median OS for patients who relapsed after ASCT (post-ASCT-relapse OS), defining survival as the time from relapse after ASCT to subsequent death from any cause. Univariable Cox regression was performed to evaluate the impact of various factors on post-ASCT OS. Outcomes by era were evaluated using three different eras based on approval dates of novel agents: (1) pre-BV approval (pre-7/31/2011), (2) post-BV approval (8/1/2011-4/30/2016), (3) post-anti-PD1 approval (5/1/16-present). Results: A total of 215 patients were identified. The median age at ASCT was 34. Before ASCT, 128 patients (62%) had no exposure to novel agents, 76 patients (35%) had received BV and no anti-PD-1 therapy, and 11 patients (5.1%) had received anti-PD-1 therapy with or without BV. Conditioning was mostly with BEAM (59%) or CBV (32%). The median time to relapse after ASCT was 6 months (range: 1-109 months). Nearly half all relapses (47%) occurred within 6 months of ASCT. Only 14% of relapses occurred after 1 year. Among 126 patients with available treatment information, the median number of post-ASCT lines of therapy was 2 (IQR: 1, 4). Therapy for post-ASCT relapse included BV and no anti-PD-1 therapy in 41 patients (29%), anti-PD-1 therapy with or without BV for 70 patients (50%), and no novel agents for only 15 patients (11%). The median followup time from the date of ASCT among survivors was 5.0 (IQR: 2.8, 7.8) years. The median post-ASCT-relapse OS was not reached ( Figure 1). The 2- and 5-year post-ASCT-relapse OS were 75% (95% CI: 70%-81%) and 59% (95% CI: 53%-67%), respectively. On univariable Cox regression for post-ASCT-relapse OS ( Table 1), time to relapse greater than 6 (HR 0.55, 95% CI 0.35-0.85) or 12 months (HR 0.53, 95% CI 0.29-0.96) were significantly associated with improved post-ASCT-relapse OS. Increasing age at relapse was associated with worse OS (HR 1.05, 95% CI 1.04-1.07). Receipt of a novel agent (compared to chemotherapy alone) as the first salvage regimen for post-ASCT relapse was associated with improved post-ASCT OS (BV: HR 0.43, 95% CI 0.20-0.96; anti-PD-1: HR 0.44, 95% CI 0.18-1.08). Outcomes improved over time as regulatory approvals for novel agents occurred (post-BV-approval: HR 0.70, 95% CI 0.39-1.24; post-anti-PD-1 approval: HR 0.45, 95% CI 0.23-0.91). Conclusion: We show prolonged overall survival post-ASCT relapse compared to historical data likely due to the introduction of BV and anti-PD1 agents. This report represents one of the largest datasets of post-ASCT relapse in cHL, and this data should serve as an updated benchmark for future evaluations.

Background: Maintenance therapy with brentuximab vedotin (BV) after autologous stem cell transplantation (ASCT) improved progression-free survival (PFS) among high-risk patients (pts) with relapsed or refractory (R/R) classical Hodgkin lymphoma (cHL) in the phase III AETHERA trial. However, cHL treatment has changed significantly since that trial with frequent incorporation of BV and PD-1 inhibitors into earlier lines of therapy. The efficacy of BV maintenance may be different among pts who receive novel agents before ASCT. Methods: Pts with a diagnosis of R/R cHL who underwent ASCT between 2010 and 2022 were identified at 5 US transplant centers. Pts receiving no systemic post-ASCT maintenance or BV maintenance were included, while pts receiving investigational maintenance treatments were excluded. Medical records were reviewed to identify clinical variables. Results: 921 pts were identified. Median age was 32 yrs (IQR 24-44). 641 pts (70%) had primary refractory disease or relapsed within 12 months of frontline therapy, 326 (35%) had extranodal disease at relapse, and 173 (19%) had B symptoms at relapse. Pts received a median of 2 (1-9) lines of therapy before ASCT, including 295 (32%) who received ≥3 lines. 425 (46%) pts received BV before ASCT (including 24 pts as part of frontline treatment). 70 pts (8%) were BV-refractory (defined as failure to achieve an objective response to any BV-based treatment). 169 (18%) received a PD-1 agent with salvage treatment. 638 pts (69%) had a complete response on pre-ASCT positron emission tomography (PET). BEAM (71%) or CBV (21%) conditioning were used for most pts and 236 pts (26%) received peri-ASCT radiation. 224 pts (24%) received post-ASCT BV maintenance (including 37% of pts undergoing ASCT from 2015-2022). Compared to pts receiving no maintenance, pts receiving BV maintenance were more likely to have primary refractory/early relapsed disease (79% vs 67%, p&lt;0.001), have received only 1 salvage regimen (79% vs 65%, p=0.001), and received BEAM conditioning (83% vs 67%, p&lt;0.001). BV maintenance pts were less likely to receive peri-ASCT radiation (20% vs 28%, p=0.022). The median number of BV maintenance cycles was 10 (1-18) and the most common reason for discontinuation was neuropathy. Median post-ASCT follow-up was 4.9 yrs. 5-yr PFS and OS after ASCT were 70% (95% CI 67-74%) and 85% (83-88%), respectively. Because BV-refractory pts were much less likely to receive BV maintenance (p=0.0044) and had inferior PFS (HR 2.2, p&lt;0.001) (and therefore would serve as a confounder), we excluded BV-refractory pts from additional analyses. Use of BV maintenance was associated with improved PFS (5-yr 81% vs 67%, HR 0.47 [0.33-0.69], p&lt;0.001) and OS (5-yr 92% vs 83%, HR 0.38 [0.20-0.73], p=0.004). The benefit of BV maintenance depended upon pre-ASCT therapy. BV maintenance was associated with a significant improvement in PFS for pts who received no novel agents before ASCT (HR 0.41 [0.25-0.65], p&lt;0.001), but not for BV-treated (HR 0.69 [0.38-1.25], p=0.22) or PD-1-treated pts (HR 0.63 [0.13-3.03], p=0.56) ( Figure). Among pts with 0-1 modified AETHERA risk factors, BV maintenance was not associated with a significant PFS benefit in any treatment subgroup (no novel agents, HR 0.50, p=0.087; BV-treated, HR 1.28, p=0.67; PD-1-treated, HR 2.97, p=0.44). For pts with 2+ modified AETHERA risk factors, BV maintenance significantly improved PFS in the no novel agent group (HR 0.35, p&lt;0.001) but not in the BV-treated (HR 0.55, p=0.099) or PD-1 treated groups (HR 0.24, p=0.19). In multivariable analyses that included key variables (age, year of ASCT, conditioning regimen, peri-ASCT radiation, early relapse/primary refractory disease, B symptoms, extranodal sites, pre-ASCT PET, lines of therapy), BV maintenance was associated with a significant PFS benefit among pts who received no novel agents before ASCT (HR 0.27 [0.12-0.65], p&lt;0.001), but not for pts treated with BV (HR 0.56 [0.28-1.10], p=0.091) or PD-1 blockade (HR 1.10 [0.22-5.56], p=0.91) before ASCT. Conclusions: In this large cohort, BV maintenance was associated with the clearest benefit among pts who received only chemotherapy before ASCT. We were unable to identify a significant improvement in PFS for pts receiving novel agents before ASCT (which could be due to insufficient power to detect a small benefit in this population), suggesting that if these pts benefit from BV maintenance, its impact is likely more limited.

Introduction: Single arm studies incorporating PD-1 blockade and/or brentuximab vedotin (BV) to salvage regimen have produced encouraging results in transplant-eligible relapsed/refractory classic Hodgkin lymphoma (R/R cHL) and are increasingly used in practice. As prospective randomized studies comparing PD1 based salvage to other salvage regimens are lacking, we conducted a retrospective study comparing post-transplant outcomes of R/R cHL patients who received PD1-based regimen and other novel and conventional regimen. Methods: Consecutive adult patients with R/R cHL who received salvage therapy and underwent autologous stem cell transplant (ASCT) between 2010 and 2021 at 5 United States academic institutions were included. Demographics and clinical variables were recorded at relapse by electronic health records review. Study Objectives were post-ASCT progression free survival (PFS) and overall survival (OS). Results: 981 pts of R/R cHL were identified. At relapse, median age was 31 (IQR: 21-43) years, 504 (52%) were male, 323 (49%) had advanced stage, 353 (41%) had extranodal disease (END), 185 (22%) had B symptoms, 345 (45%) were refractory to frontline therapy and 317 (32%) relapsed within a year of frontline therapy.308 (31%) received &gt;1 line of salvage before ASCT. Patients were divided into 3 groups based on salvage therapy received: 1) 195 (20%) patients received a PD-1 agent with or without BV at any point before ASCT (PD-1 group), 2) 312 (32%) patients received BV at any point before ASCT without PD-1 (BV group), and 3) 474 (48%) patients received no novel agent before ASCT (chemo group). PFS was significantly higher in PD1 group (2-yr PFS 93.1 (CI 95: 89.4-96.9)%); compared to BV (2 yr PFS 73.9 (CI 95: 69.1-79.1)% , p &lt;0.0001) or chemo groups (2 yr PFS 71.6 (CI 95: 67.6-75.9)% , p&lt;0.0001). PFS was not different between the BV and chemo groups (p=0.88) (Figure 1). OS was not significantly different between PD-1 group (2 yr OS 96.2 % (CI 95: 93.2-99.2), p=0.06), BV group (2 yr OS 94.3% (CI 95: 91.7-97.0), p=0.2) and chemo group (2 yr OS 91.8% (CI 95: 89.3-94.4)). Amongst pts who were transplanted in complete metabolic response (CMR), we assessed post-ASCT PFS and OS based on salvage therapy received immediately before ASCT. Pts who received PD-1 as last salvage therapy had improved PFS compared to chemo (HR: 0.15 (CI 95: 0.07-0.3), p= &lt;0.0001) and BV (HR: 0.2 (CI 95: 0.08-0.5), p= &lt;0.001). Pts receiving PD-1 immediately before ASCT also had higher OS compared to those receiving chemo (HR: 0.2 (CI 95: 0.05-0.8), p= 0.02) but not BV (HR: 0.8 (CI 95: 0.4-1.3), p=0.1). There was no difference between BV and chemo group in regards to PFS and OS. In multivariable analysis that included time to relapse, B symptoms, END, pre-ASCT response, number of salvage therapy lines before ASCT, year of transplant and BV consolidation, PD-1 salvage therapy had significantly higher PFS compared to chemotherapy (HR: 0.3 (CI 95: 0.2-0.5), p= &lt;0.001). BV group had significantly lower PFS (HR: 3.34 (CI 95: 1.8-6.0), group=0.002) compared to PD1 group. PFS was not different between BV and chemo group (p= 0.7). OS was similar between all 3 groups. Similar PFS and OS were seen among patients receiving PD-1 + BV (n=83) and PD-1 with or without chemo (n =112) (p=0.96 for PFS; p= 0.72 for OS); as well as for patients receiving PD-1 as part of their first salvage therapy (n=151) or later salvage treatments (n=44) (p=0.45 for PFS, p= 0.3 for OS). Patients who received PD1 based regimen as last salvage therapy pre-ASCT had significantly better PFS (HR: 6.8 (CI 95: 2.4-19.2), p= &lt;0.0001) and OS (HR: 10.6 (CI 95: 2.5-44.8), p= 0.0001) compared to patients who received PD1 prior to their last line of salvage therapy per-ASCT. Conclusion: Receipt of PD-1 based salvage therapy at any point before ASCT is associated with significantly improved PFS compared to either BV or chemotherapy-based salvage treatments. In the subgroup of patients transplanted in CMR, PD1 based last salvage regimen were associated with higher PFS compared to chemotherapy and BV and higher OS compared to chemotherapy. PD1 based last salvage therapy pre-ASCT was associated with better survival compared to PD1 prior to last salvage therapy. Results of this study strongly support the use of PD-1 based salvage therapy for patients with R/R cHL. S.D., R.M., H.S contributed equally. R.S., M.M. contributed equally.

Over 40 years of controversy surround the nuclear localization of actin. Now, it is well understood that actin localization to the nucleus is highly regulated, suggesting actin has critical nuclear functions. Studies have demonstrated that nuclear actin has roles in regulating transcription, chromatin remodeling, nuclear organization, and DNA damage repair. However, much remains unknown about nuclear actin, including its structure in the nucleus and its functions during development. Here we present our novel finding that Drosophila oogenesis, or follicle development, is a model for studying the structure, regulation, and function of nuclear actin. Follicles are composed of roughly 1000 somatic follicle cells and 16 germline cells, including 15 nurse or support cells and a single oocyte, and progress through a series of 14 morphological stages, from the germanium to Stage 14. During Stages 5–9, nuclear actin levels are high in the oocyte and exhibit variation within the nurse cells. Known regulators of actin nucleocytoplasmic transport, Cofilin and Profilin, also localize to the nuclei during follicle development. Further, germline expression of GFP‐tagged Actin results in nuclear actin rod formation in nurse cells during Stages 5–9. These nuclear actin rods are static, label with both phalloidin and Cofilin. These findings suggest that nuclear actin is tightly regulated during follicle development. As we have previously determined that Fascin, an actin bundling protein, localizes to nurse cell nuclei, we postulated that Fascin may be a novel regulator of nuclear actin. Overexpression of Fascin enhances the frequency and length of GFP‐Actin rods, and Fascin colocalizes with these rods. Additionally, the loss of Fascin reduces, while the overexpression of Fascin increases, the frequency of nurse cells with high levels of endogenous nuclear actin. However, genetic manipulation of Fascin does not alter the overall nuclear level of actin within the ovary. Thus, these data suggest Fascin regulates the ability of specific cells to accumulate nuclear actin. The loss of Fascin reduces nuclear Cofilin suggesting that Fascin positively regulates nuclear actin through Cofilin, a key factor in the nuclear import of actin. Indeed, Fascin and Cofilin genetically interact, as double heterozygotes exhibit a reduction in the number of nurse cells with high nuclear actin levels. In conclusion, we have established Drosophila oogenesis as a new system to uncover the physiologically important functions and regulation of nuclear actin. Further, we have identified Fascin as a novel regulator of nuclear actin. The nuclear localization of Fascin and Actin is highly conserved among systems, indicating these findings are applicable far beyond Drosophila follicle development. Support or Funding Information This project is supported by grants by the National Science Foundation MCB‐1158527, National Institutes of Health R01GM116885 and Carver Trust Medical Research Initiative Grant. D.J.K. is partially supported by NINDS T32NS045549.