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Abstract Background The cardiovascular disease (CVD) risk in patients with rheumatoid arthritis (RA) is comparable to that of patients with diabetes mellitus (DM). Although several studies have indicated high prevalence's of DM in RA patients, little is known about how this affects their CVD risk. Objectives To examine indications for, and use of antihypertensive treatment (a-HT) and lipid-lowering therapy (LLT) in RA patients with DM (RA-DM) and RA patients without DM (RAwoDM). Further, to compare the prevalence of various types of CVD across RA-DM and RAwoDM. Methods The cohort was derived from the SUrvey of cardiovascular disease Risk Factor in patients with Rheumatoid Arthritis (SURF-RA), which was performed in 53 centres/17 countries in 5 world regions (West and East Europe; North and Latin America; and Asia) from 2014 - 2019. Indication for a-HT was defined as: 1) systolic/diastolic blood pressure (BP) ≥140/90 mm Hg, 2) self-reported hypertension, and/or 3) current use of a-HT. Indication for LLT was defined according to ESC guidelines. CVD risk estimates (by SCORE) were multiplied by 1.5 according to EULAR recommendations. Target treatment targets for BP and lipids were defined according to ESC guidelines applicable at the time data were recorded. Results Presence of comorbid DM was available in 10 602 (73.1%) of the 14 503 RA patients included in SURF-RA, of whom 75 and 1262 patients reported DM type 1 and type 2, respectively (total 1337 patients, 12.6%). Although less often current smokers, RA-DM patients were more often previous smokers, male sex and had higher body mass index compared to RAwoDM (p<0.0001 for all). a-HT (84.7% vs 62.3%) and LLT (100% vs 47.2%) were more frequently indicated in RA-DM than in RAwoDM patients (p<0.0001 for both). RA-DM were more likely than RAwoDM to receive a-HT on indication (60.4% vs 57.6%, p<0.0001), while the difference in LLT use on indication was not significantly different (45.7% vs 42.5%, p=0.06). Moreover, RA-DM compared to RAwoDM patients had more often reached treatment goals when on a-HT (60.7% vs 54.1%, p<0.0001) and LLT (62.8% vs 48.9%, p<0.0001). Finally, the risk of all recorded established CVD (coronary heart disease, stroke, peripheral artery disease and atrial fibrillation) was increased by a factor of 2 to 3 in RA-DM compared to RAwoDM (Figure). Conclusion The effect of RA and comorbid DM on CVD risk appears to be additive. While CVD preventive medications are more often indicated in RA-DM than in RAwoDM patients, they are also more likely to receive such therapy and to reach CVD preventive treatment goals. The latter finding may be due to more developed CVD preventive care in DM compared to RA patients. Improved CVD preventive systems for patients with RA are warranted. CVD in RA patients with and without DM Funding Acknowledgement Type of funding source: Other. Main funding source(s): Lilly

Abstract Background Patients with rheumatoid arthritis (RA) are at high risk for cardiovascular disease (CVD). Purpose The aim of this survey was to evaluate updated information on CVD risk factors, comorbidities, RA disease characteristics, RA and CVD preventive medication in patient with RA. Methods The audit is termed SUrvey of cardiovascular disease Risk Factors in patients with Rheumatoid Arthritis (SURF-RA) and was performed in 53 centres/19 countries/5 world regions in 2014–2019. SURF-RA have been performed in patients with coronary heart disease, in primary care, and now in patients with stroke, SLE and antiphophlipid syndrome. The survey was approved by the Data Protection Officer (2017/7243) and a GDPR evaluation has been performed (10/10–2018). Results Among 14 503 patients with RA in West (n=8 493) and East (n=923) Europe, Latin (n=407) and North (n=4 030) America and Asia (n=650) the mean (SD) age was 59.9 (13.6) years, and 2/3 or more were female (table). RA disease duration was comparable across the world regions, ranging from 9.9 to 12.6 years. The prevalence of atherosclerotic CVD (ASCVD) was lowest in Latin America (2.5%) and highest in East Europe (21.4%), and this pattern was similar regarding familial premature CVD. The mean prevalence (% of each entity) of blood pressure above 140/90 mmHg was 5.3%, of low density lipoprotein cholesterol >2.5 mmol/L: 63.3%. Overall, 29% used antihypertensive medication, lowest in West Europe (17.4%) and highest in East Europe (57.0%), and 26.4% used lipid lowering agent(s), lowest in Asia (7.2%) and highest in North America (31.1%). Body mass index >30 kg/m2 was present in 26.6%, with the smallest waist circumference in Asia [mean (SD): 84.1 (13.6) cm] and highest in East Europe [92.5 (15.5) cm]. The proportion of current smokers was on average: 16.2%, lowest in Asia (7.8%) and highest in East Europe (28.5%). Conclusion The high prevalence of CVD risk factors and ASCVD in patients with RA across five world regions shows that there is still an unmet need for vigilance and improved implementation of preventive measures in this high CVD risk patient population. Funding Acknowledgement Type of funding source: Other. Main funding source(s): Lilly

Purpose To describe a large, publicly available dataset comprising computed tomography (CT) projection data from patient exams, both at routine clinical doses and simulated lower doses. Acquisition and Validation Methods The library was developed under local ethics committee approval. Projection and image data from 299 clinically performed patient CT exams were archived for three types of clinical exams: noncontrast head CT scans acquired for acute cognitive or motor deficit, low‐dose noncontrast chest scans acquired to screen high‐risk patients for pulmonary nodules, and contrast‐enhanced CT scans of the abdomen acquired to look for metastatic liver lesions. Scans were performed on CT systems from two different CT manufacturers using routine clinical protocols. Projection data were validated by reconstructing the data using several different reconstruction algorithms and through use of the data in the 2016 Low Dose CT Grand Challenge. Reduced dose projection data were simulated for each scan using a validated noise‐insertion method. Radiologists marked location and diagnosis for detected pathologies. Reference truth was obtained from the patient medical record, either from histology or subsequent imaging. Data Format and Usage Notes Projection datasets were converted into the previously developed DICOM‐CT‐PD format, which is an extended DICOM format created to store CT projections and acquisition geometry in a nonproprietary format. Image data are stored in the standard DICOM image format and clinical data in a spreadsheet. Materials are provided to help investigators use the DICOM‐CT‐PD files, including a dictionary file, data reader, and user manual. The library is publicly available from The Cancer Imaging Archive ( https://doi.org/10.7937/9npb‐2637 ). Potential Applications This CT data library will facilitate the development and validation of new CT reconstruction and/or denoising algorithms, including those associated with machine learning or artificial intelligence. The provided clinical information allows evaluation of task‐based diagnostic performance.

Background: The rapid reduction in tumor burden by the oral B-cell lymphoma-2 inhibitor venetoclax (Ven) poses a risk of tumor lysis syndrome (TLS) for patients (pts) with chronic lymphocytic leukemia (CLL). The approved 5-week Ven dose ramp-up, along with prophylaxis and monitoring, effectively mitigate this risk of TLS but also introduce some logistical challenges to starting the drug. Moreover, the long ramp-up period may lead to clinical deterioration while pts are receiving lower doses, particularly for those with rapid disease progression after B-cell receptor pathway inhibitor (BCRi) therapy. Accelerated Ven dose ramp-up has been explored in a limited number of prior studies, including the prospective M14-032 trial (Jones et al. Lancet Oncol 2018) and a single-center retrospective study (Koenig et al. ASH 2019); these studies had conflicting results with regard to the risk of TLS. We conducted a multicenter study to systematically characterize the safety profile and feasibility of an accelerated Ven ramp-up schedule in pts with previously treated CLL. Methods: This is a retrospective chart review from 4 large academic US medical centers of 36 pts with relapsed/refractory CLL and a documented ramp-up period of <5 weeks (duration at treating physician's discretion). The study period was defined from 1 month before to 1 month after ramp-up. TLS risk before Ven initiation was assessed per the label. Safety endpoints included the proportion of pts who experienced Grade ≥3 adverse events (AEs), TLS per Howard criteria (laboratory, clinical, or any reported TLS), and/or metabolic abnormalities observed during ramp-up. Feasibility of accelerated ramp-up was measured by assessing the proportion of pts who reached the target 400-mg dose or an alternative stable dose, defined as continuous/stable Ven dosing for ≥1 month after ramp-up. Descriptive statistics were calculated. Results: The median age at Ven initiation was 67.5 years (range 53-84) and 58.3% of pts had deletion 17p or TP53 mutation (Table 1). Pts were heavily pretreated (median of 3 lines of prior therapy [range 1-7]) and 88.9% had prior BCRi therapy; 27 pts (75.0%) had BCRi as immediate prior line of therapy before Ven. Before Ven initiation, 7 pts (19.4%) were at high risk of TLS, 13 (36.1%) at medium risk of TLS, and 15 (41.7%) at low risk of TLS; 1 unknown. Last line of therapy was discontinued in 30 pts (83.3%). Twenty-one pts (58.3%) received Ven monotherapy, 11 (30.6%) received Ven plus rituximab, 1 (2.8%) received Ven plus obinutuzumab, and 3 (8.3%) received Ven plus other (including ibrutinib, duvelisib, or idelalisib). Thirty-three pts (91.7%) underwent accelerated ramp-up as an inpatient, with a median hospital stay of 11 days (range 3-28). A stable dose of Ven was reached by 34 pts (94.4%), with median time of 15 days (range 3-66) to stable dose. Twenty-eight of these 34 pts (82.4%) reached the full 400 mg as their stable dose, with median time of 19.5 days (range 11-66). Overall, 15 pts (41.7%) experienced Grade ≥3 AEs and 4 (11.1%) discontinued Ven during ramp-up (2 pts due to clinical TLS, and 1 patient each due to persistent cytopenias and enrollment in hospice care). Seven pts (19.4%) had TLS (5 [13.9%] laboratory, 2 [5.6%] clinical), and 9 pts (25.0%) developed a metabolic abnormality only that did not meet Howard criteria for TLS (Table 2). Both pts with clinical TLS received Ven ramp-up while hospitalized; 1 high risk and 1 medium risk at baseline. Life-threatening (Grade 4) acute kidney injury and hypovolemic shock were reported for both. Of those pts with TLS, 4 (57.1%) required supportive medications. All AEs of TLS (including clinical events) resolved. Conclusion: In this multicenter study exploring accelerated Ven ramp-up, 82% of pts reached a stable dose of Ven 400 mg. TLS was observed in 19% of pts, including 2 pts with clinical TLS, which in both cases was reversible. Our data suggest that although the risk of TLS with an accelerated ramp-up appears to be greater than with 5-week Ven ramp-up per label, an accelerated Ven ramp-up schedule appears feasible at experienced academic centers with close inpatient monitoring. This dosing regimen may be beneficial for relapsed CLL pts with aggressive disease, particularly those progressing immediately after BCRi therapy. While promising, the approach cannot be routinely recommended until results are validated in a prospective clinical trial. Disclosures Davids: BeiGene: Consultancy; AstraZeneca: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Ascentage Pharma: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; TG Therapeutics: Consultancy, Research Funding; Verastem: Consultancy, Research Funding; AbbVie: Consultancy; Eli Lilly: Consultancy; MEI Pharma: Consultancy, Research Funding; Bristol Myers Squibb: Research Funding; Novartis: Consultancy, Research Funding; Sunesis: Consultancy; Gilead Sciences: Consultancy; Zentalis: Consultancy; Syros Pharmaceuticals: Consultancy; Research to Practice: Honoraria; Merck: Consultancy; Surface Oncology: Research Funding. Shadman:TG therapeutics: Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Meyers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees; Verastem: Consultancy, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Atara Biotherapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Cellectar: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Mustang Bio: Research Funding; BeiGene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Sunesis: Research Funding; Gilead: Research Funding; MophoSys: Consultancy, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sound Biologics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Acerta Pharma: Ended employment in the past 24 months. Parikh:GlaxoSmithKline: Honoraria; AbbVie: Honoraria, Research Funding; Ascentage Pharma: Research Funding; Genentech: Honoraria; Verastem Oncology: Honoraria; Janssen: Honoraria, Research Funding; AstraZeneca: Honoraria, Research Funding; TG Therapeutics: Research Funding; Merck: Research Funding; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding. Ujjani:MorphoSys: Consultancy; Genentech: Consultancy, Honoraria; Atara: Consultancy, Honoraria; Gilead/Kite: Consultancy, Research Funding; Verastem Oncology: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding. Chen:AbbVie: Other: Institutional research grants, Research Funding. Johnson:AbbVie: Other: Institutional research grants, Research Funding. Jiang:AbbVie: Current Employment, Other: may hold stock or options. Llamas:AbbVie: Current Employment, Other: may hold stock or options. Feng:AbbVie: Current Employment, Other: may hold stock or options. Khan:ICON plc: Current Employment, Other: a company contracted by AbbVie for this study. Lamanna:MingSight: Other: Institutional research grants, Research Funding; Oncternal, Verastem, TG Therapeutics: Other: Institutional research grants, Research Funding; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Columbia University Medical Center: Current Employment; Juno: Other: Institutional research grants, Research Funding; Octapharma: Research Funding; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Institutional research grants, Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bei-Gene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Institutional research grants, Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Institutional research grants, Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Institutional research grants, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Loxo: Research Funding. OffLabel Disclosure: "Venetoclax is a BCL-2 inhibitor indicated: for treatment of adult patients with chronic lymphocytic leukemia (CLL) or small lymphocytic lymphoma (SLL); in combination with azacitidine, or decitabine, or low-dose cytarabine to treat adults with newly-diagnosed acute myeloid leukemia (AML) in adults who are age 75 years or older, or who have comorbidities that preclude use of intensive induction chemotherapy. CLL/SLL: Dosing with venetoclax begins with a 5-week ramp-up."

AbstractThis international multidisciplinary document intends to provide clinicians with evidence‐based practical patient‐centered recommendations for evaluating patients and decedents with (aborted) sudden cardiac arrest and their families. The document includes a framework for the investigation of the family allowing steps to be taken, should an inherited condition be found, to minimize further events in affected relatives. Integral to the process is counseling of the patients and families, not only because of the emotionally charged subject, but because finding (or not finding) the cause of the arrest may influence management of family members. The formation of multidisciplinary teams is essential to provide a complete service to the patients and their families, and the varied expertise of the writing committee was formulated to reflect this need. The document sections were divided up and drafted by the writing committee members according to their expertise. The recommendations represent the consensus opinion of the entire writing committee, graded by Class of Recommendation and Level of Evidence. The recommendations were opened for public comment and reviewed by the relevant scientific and clinical document committees of the Asia Pacific Heart Rhythm Society (APHRS) and the Heart Rhythm Society (HRS); the document underwent external review and endorsement by the partner and collaborating societies. While the recommendations are for optimal care, it is recognized that not all resources will be available to all clinicians. Nevertheless, this document articulates the evaluation that the clinician should aspire to provide for patients with sudden cardiac arrest, decedents with sudden unexplained death, and their families.

Background: Whether brain-derived neurotrophic factor (BDNF) Met carriage impacts the risk or progression of Alzheimer’s disease (AD) is unknown. Objective: To evaluate the interaction of BDNF Met and APOE4 carriage on cerebral metabolic rate for glucose (CMRgl), amyloid burden, hippocampus volume, and cognitive decline among cognitively unimpaired (CU) adults enrolled in the Arizona APOE cohort study. Methods: 114 CU adults (mean age 56.85 years, 38% male) with longitudinal FDG PET, magnetic resonance imaging, and cognitive measures were BDNF and APOE genotyped. A subgroup of 58 individuals also had Pittsburgh B (PiB) PET imaging. We examined baseline CMRgl, PiB PET amyloid burden, CMRgl, and hippocampus volume change over time, and rate of change in cognition over an average of 15 years. Results: Among APOE4 carriers, BDNF Met carriers had significantly increased amyloid deposition and accelerated CMRgl decline in regions typically affected by AD, but without accompanying acceleration of cognitive decline or hippocampal volume changes and with higher baseline frontal CMRgl and slower frontal decline relative to the Val/Val group. The BDNF effects were not found among APOE4 non-carriers. Conclusion: Our preliminary studies suggest that there is a weak interaction between BDNF Met and APOE4 on amyloid-β plaque burden and longitudinal PET measurements of AD-related CMRgl decline in cognitively unimpaired late-middle-aged and older adults, but with no apparent effect upon rate of cognitive decline. We suggest that cognitive effects of BDNF variants may be mitigated by compensatory increases in frontal brain activity—findings that would need to be confirmed in larger studies.

PurposeTo develop a convolutional neural network (CNN) that can directly estimate material density distribution from multi‐energy computed tomography (CT) images without performing conventional material decomposition.MethodsThe proposed CNN (denoted as Incept‐net) followed the general framework of encoder–decoder network, with an assumption that local image information was sufficient for modeling the nonlinear physical process of multi‐energy CT. Incept‐net was implemented with a customized loss function, including an in‐house‐designed image‐gradient‐correlation (IGC) regularizer to improve edge preservation. The network consisted of two types of customized multibranch modules exploiting multiscale feature representation to improve the robustness over local image noise and artifacts. Inserts with various densities of different materials [hydroxyapatite (HA), iodine, a blood–iodine mixture, and fat] were scanned using a research photon‐counting detector (PCD) CT with two energy thresholds and multiple radiation dose levels. The network was trained using phantom image patches only, and tested with different‐configurations of full field‐of‐view phantom and in vivo porcine images. Furthermore, the nominal mass densities of insert materials were used as the labels in CNN training, which potentially provided an implicit mass conservation constraint. The Incept‐net performance was evaluated in terms of image noise, detail preservation, and quantitative accuracy. Its performance was also compared to common material decomposition algorithms including least‐square‐based material decomposition (LS‐MD), total‐variation regularized material decomposition (TV‐MD), and U‐net‐based method.ResultsIncept‐net improved accuracy of the predicted mass density of basis materials compared with the U‐net, TV‐MD, and LS‐MD: the mean absolute error (MAE) of iodine was 0.66, 1.0, 1.33, and 1.57 mgI/cc for Incept‐net, U‐net, TV‐MD, and LS‐MD, respectively, across all iodine‐present inserts (2.0–24.0 mgI/cc). With the LS‐MD as the baseline, Incept‐net and U‐net achieved comparable noise reduction (both around 95%), both higher than TV‐MD (85%). The proposed IGC regularizer effectively helped both Incept‐net and U‐net to reduce image artifact. Incept‐net closely conserved the total mass densities (i.e., mass conservation constraint) in porcine images, which heuristically validated the quantitative accuracy of its outputs in anatomical background. In general, Incept‐net performance was less dependent on radiation dose levels than the two conventional methods; with approximately 40% less parameters, the Incept‐net achieved relatively improved performance than the comparator U‐net, indicating that performance gain by Incept‐net was not achieved by simply increasing network learning capacity.ConclusionIncept‐net demonstrated superior qualitative image appearance, quantitative accuracy, and lower noise than the conventional methods and less sensitive to dose change. Incept‐net generalized and performed well with unseen image structures and different material mass densities. This study provided preliminary evidence that the proposed CNN may be used to improve the material decomposition quality in multi‐energy CT.