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Objective The ORAL Surveillance trial found a dose‐dependent increase in venous thromboembolism (VTE) and pulmonary embolism (PE) events with tofacitinib versus tumor necrosis factor inhibitors (TNFi). We aimed to assess VTE incidence over time and explore risk factors of VTE, including disease activity, in ORAL Surveillance. Methods Patients with rheumatoid arthritis (RA) aged 50 years or older with at least one additional cardiovascular risk factor received tofacitinib 5 or 10 mg twice daily (BID) or TNFi. Post hoc, cumulative probabilities and incidence rates (patients with first events/100 patient‐years) by 6‐month intervals were estimated for adjudicated VTE, deep vein thrombosis, and PE. Cox regression models identified risk factors. Clinical Disease Activity Index leading up to the event was explored in patients with VTE. Results Cumulative probabilities for VTE and PE were higher with tofacitinib 10 mg BID, but not 5 mg BID, versus TNFi. Incidence rates were consistent across 6‐month intervals within treatments. Across treatments, risk factors for VTE included prior VTE, body mass index greater than or equal to 35 kg/m 2 , older age, and history of chronic lung disease. At the time of the event, most patients with VTE had active disease as defined by Clinical Disease Activity Index. Conclusion Incidences of VTE and PE were higher with tofacitinib (10 > 5 mg BID) versus TNFi and were generally consistent over time. Across treatments, VTE risk factors were aligned with previous studies in the general RA population. These data highlight the importance of assessing VTE risk factors, including age, body mass index, and VTE history, when considering initiation of tofacitinib or TNFi in patients with active RA.

Abstract Ruxolitinib reduces spleen volume, improves symptoms, and increases survival in patients with intermediate- or high-risk myelofibrosis. However, suboptimal response may occur, potentially because of signaling via the phosphoinositide 3-kinase (PI3K)/protein kinase B pathway. This phase 2 study evaluated dosing, efficacy, and safety of add-on PI3Kδ inhibitor parsaclisib for patients with primary or secondary myelofibrosis with suboptimal response to ruxolitinib. Eligible patients remained on a stable ruxolitinib dose and received add-on parsaclisib 10 or 20 mg, once daily for 8 weeks, and once weekly thereafter (daily-to-weekly dosing; n = 32); or parsaclisib 5 or 20 mg, once daily for 8 weeks, then 5 mg once daily thereafter (all-daily dosing; n = 42). Proportion of patients achieving a ≥10% decrease in spleen volume at 12 weeks was 28% for daily-to-weekly dosing and 59.5% for all-daily dosing. Proportions of patients achieving ≥50% decrease at week 12 in Myelofibrosis Symptom Assessment Form and Myeloproliferative Neoplasms Symptom Assessment Form symptom scores were 14% and 18% for daily-to-weekly dosing, and 28% and 32% for all-daily dosing, respectively. Most common nonhematologic treatment-emergent adverse events were nausea (23%), diarrhea (22%), abdominal pain and fatigue (each 19%), and cough and dyspnea (each 18%). New-onset grade 3 and 4 thrombocytopenia were observed in 19% of patients, each dosed daily-to-weekly, and in 26% and 7% of patients dosed all-daily, respectively, managed with dose interruptions. Hemoglobin levels remained steady. The addition of parsaclisib to stable-dose ruxolitinib can reduce splenomegaly and improve symptoms, with manageable toxicity in patients with myelofibrosis with suboptimal response to ruxolitinib. This trial was registered at www.clinicaltrials.gov as #NCT02718300.

ABSTRACT In the United States (US), biosafety and biosecurity oversight of research on viruses is being reappraised. Safety in virology research is paramount and oversight frameworks should be reviewed periodically. Changes should be made with care, however, to avoid impeding science that is essential for rapidly reducing and responding to pandemic threats as well as addressing more common challenges caused by infectious diseases. Decades of research uniquely positioned the US to be able to respond to the COVID-19 crisis with astounding speed, delivering life-saving vaccines within a year of identifying the virus. We should embolden and empower this strength, which is a vital part of protecting the health, economy, and security of US citizens. Herein, we offer our perspectives on priorities for revised rules governing virology research in the US.

Introduction: Poor sleep contributes to outcomes in heart failure (HF). Phenotypes reflecting multi-dimensional sleep health may better predict outcomes and support more precise interventions than single measures, but few studies have used this approach. Aims: 1) Describe phenotypes of sleep health and 2) Evaluate whether sleep health phenotypes predict symptoms, cognitive function, and time to first hospitalization and emergency department (ED) visits among HF patients. Methods: We performed secondary analysis of a randomized controlled trial of cognitive behavioral therapy for insomnia compared with HF self-management education with HF patients. We measured sleep [rest-activity rhythms, sleep duration, and efficiency (2-week wrist actigraphy/follow-ups); insomnia; CPAP use; and daytime sleepiness (Epworth Scale)]; perceived stress; fatigue; anxiety; depression; pain; and cognitive ability (Patient-Reported Outcomes Measurement System: PROMIS) at baseline and 3, 6, and 12 months post-intervention and tracked hospitalizations and ED visits. We used K-means clustering to identify sleep phenotypes and generalized linear mixed models and Cox models to predict outcomes, adjusted for demographic factors. Results: Among 166 participants (M age = 63.2 (SD = 12.8) years; 57% female; 23% NYHA Class 3/4 HF; 35% EF less than 45%), there were 4 phenotypes [poor sleep (14%); short sleep/high sleep efficiency (39%); long sleep/low sleep efficiency (25%); and healthy sleep (21%)] at baseline. The healthy sleep group was older and had lower BMIs and less comorbidity and had better outcomes compared to all other phenotypes. In particular, this group had better fatigue (-2.43±0.87), pain (-1.86±1.05), anxiety (-1.50±0.89), stress (-1.46±0.69), and cognitive ability (1.76±0.80) than the poor sleep group. The poor sleep group had shorter time to adverse events compared to the other phenotypes (Hazard ratios of 0.41 to 0.56 for hospitalizations and 0.35 to 0.60 for ED visits). Conclusions: Multidimensional aspects of sleep predict HF outcomes and may improve on prediction with single measures. Future tailored sleep interventions focused on phenotypes may more precisely improve outcomes among HF patients than traditional approaches.

Introduction: Treatment options for multiple myeloma (MM) are evolving rapidly with recent introduction of BCMA-targeting CAR-T (Ide-cel, Cilta-cel) and bispecific antibody (Bi-Ab; Teclistamab) alternatives. These are complex, logistically demanding therapies, and patient awareness/knowledge can affect treatment decisions. There are traditionally underserved patients in MM, and awareness among them must be investigated to uncover disparities which may impact their access to and choice of novel therapies, contributing to disparate outcome. Methods: The study involved an anonymous 25-question online English language survey covering basic demographics, understanding of available T-cell directed MM treatments (CAR-T, Bi-Ab), and preferences for these agents. MM patients within the Mayo Clinic database and members of International Myeloma Foundation's MM support groups were sent a link to the voluntary survey. The survey was active from March 30 until July 12, 2023. Descriptive statistics were calculated with R language (Bluesky Statistics, V7.40), and categorical variables among outcome demographic groups were compared using Pearson Chi-square test (p-value ≤0.05 considered statistically significant). Multiple model logistic regression was used for multivariate analysis amongst statistically significant outcomes. Results: The survey had 2370 respondents with median age 68 years (range: 30-95) and median age at MM diagnosis 62 years (range: 18-88). Time since diagnosis was <5 years in 59.5%. Majority of the respondents (89.4%) were non-Hispanic Whites (NHW). Maximum education categories were high school (10.9%), some college but no degree (18.1%), associate/bachelor (39.7%), and master's/professional (32.3%). Geography and type of residence were reported as: West (24%), Midwest (46.2%), Northeast (3.3%), South (24.8%), outside U.S. (1.7%), and rural (26.7%), urban (21.4%), suburban (51.9%). The goals of MM treatment in order of reported importance were complete remission (66.1%), longer survival (55.3%) and low symptom burden (43.3%). Only 6.5% and 2.6% of respondents had received CAR-T and Bi-Ab, respectively, while 27.9% and 70.5% had never heard of CAR-T and Bi-Ab, respectively. A high proportion of respondents did not understand the risks/benefits of CAR-T (65.5%) or Bi-Ab (90.7%). Given a preference among CAR-T products, 5.4% would prefer Cilta-cel, 1.9% Ide-cel and 92.7% were not sure/no preference. Amongst only those who reported understanding the risks/benefits of CAR-T, the majority (73%) said they would prefer Cilta-cel. The majority (87.5%) were not sure of any differences between the two CAR-T products while some reported different targets (6.3%), response rate (5.9%), response duration (6.2%), side effects (4.9%), and manufacturing time (2.7%). The biggest concern for both CAR-T and Bi-Ab was side effects. Majority (89.4%) were not sure that Teclistamab Bi-Ab targeted BCMA, and nearly 70% felt that CAR-T was superior to Bi-Ab for treating MM. Reported sources of knowledge about MM treatment were healthcare team (82.6%), online resources (43.6%) and other patients/support groups (37.9%). Several demographic characteristics that significantly affected patient's responses to different questions in the survey. Selected questions and respondent categories with statistically significant results in multivariate analysis are shown in Table 1. Generally, higher education, living in northeast U.S., urban or suburban residency, and >5 years since MM diagnosis were associated with better awareness/understanding of CAR-T and Bi-Ab. Respondents with >70-year age were less likely to be aware of these agents or understand their risks/benefits. Race-ethnicity had no statistically significant associations in this cohort of predominantly NHW. Conclusions: This large cross-sectional study identifies lack of adequate awareness regarding CAR-T and Bi-Ab and provides a glimpse of current understanding of these complex therapies. There are disparate groups including rural, less educated, elderly and those with recent diagnosis of MM who have significantly lesser awareness. Some better-informed respondents had preferences among these treatments. Targeted awareness campaigns should be developed so that knowledge gaps can be bridged and patients across all sociodemographic groups are better equipped to take informed decisions about MM treatment.

Background: Oral decitabine/cedazuridine (ASTX727) is a fixed dose combination of decitabine (35 mg) and the cytidine deaminase inhibitor cedazuridine (100 mg) given once daily X 5 days on a 28-day cycle producing pharmacokinetic (PK) exposure equivalent to the standard intravenous (IV) decitabine regimen of 20 mg/m 2 daily X 5 days on a 28-day cycle. This was demonstrated in the pivotal ASCERTAIN study (Garcia-Manero, et al, ASH 2019) as it provided a PK bridge to existing decitabine data and demonstrated median OS was 31.7 mo. (Savona,et al. Intl. MDSF International Congress on MDS, 2021). Subjects were initially classified by the International Prognosis Scoring System (IPSS) for historical reasons, however IPSS-R and IPSS-M are enhancements to IPSS that provide dynamic risk assessment for predicting clinical outcomes in MDS. Here, the objective was to re-classify the MDS subjects enrolled on the ASCERTAIN study by IPSS-R and IPSS-M and measure the impact of informing patient outcomes based on re-calculated risk assessment. Methods: One hundred thirty-three subjects with MDS/CMML (chronic myelomonocytic leukemia) were enrolled in ASCERTAIN and were randomly assigned either IV decitabine for cycle 1 and oral decitabine/cedazuridine for cycle 2 or the opposite treatment sequence. All subjects continuing beyond cycle 2 received oral decitabine/cedazuridine for all subsequent cycles until treatment discontinuation for disease progression, toxicity, patient's decision, or HSCT. Whole blood collected prior to treatment was used for DNA isolation and molecular abnormalities identified using next-generation sequencing (NGS) hematologic malignancy panel of 179 genes including all genes commonly mutated in MDS. In the initial analysis of clinical outcomes, subjects were classified by IPSS with response assessment by IWG 2006 IPSS low and Int-1 risk levels were categorized as lower-risk MDS (LR-MDS), whereas IPSS Int-2 and high-risk categories were categorized as higher-risk MDS (HR-MDS). Subjects with sufficient data based on (e.g., available heme parameters, cytogenetics, NGS etc.) were reclassified by IPSS-R and IPSS-M. Subjects with IPSS-R score of ≤3.5 or IPSS-M of either very low, low, or moderate low were categorized as LR-MDS. Similarly subjects with IPSS-R score of >3.5 or an IPSS-M categorization of either moderate high, high, or very high were categorized as HR-MDS. Reclassified subjects were reassessed for CR (Complete Response), OS, and LFS and Harrell's concordance index (c-index) was used to describe the level of agreement between each scale and outcomes. Results: Based on the available data, the number of MDS subjects in the different risk classifications were the following: IPSS: 117, IPSS-R: 104, and IPSS-M: 105. Thirteen and 12 subjects on the IPSS could not be reclassified in the IPSS-R and IPSS-M, respectively, including 5 Int-1 and 2 low-risk MDS cases. CMML subjects were excluded from these analyses. Re-classification generally resulted in the upgrade of the subjects from LR-MDS to HR-MDS (Fig. 1). Thirty-one (26.5%) subjects from IPSS were reallocated in the IPSS-R to different risk categories; 3 (9.7%) were downgraded and 28 (90.3%) were upgraded. Similarly on reclassification with IPSS-M 34 (32.4%) of the patients reclassified; 5 (14.8%) were downgraded and 29 (85.3%) were upgraded. For IPSS LR-MDS, 23.2% of patients achieved CR, and 22.9% in the IPSS HR-MDS. Similarly, 21.6% patients achieved CR in the IPSS-R LR-MDS, and 23.9% in the IPSS-R HR-MDS; 26.3% patients achieved CR in the IPSS-M LR-MDS, and 20.9% in the IPSS-M HR-MDS. The c-index for the IPSS was .64 (OS) and .67 (LFS), IPSS-R was .70 (OS) and .71 (LFS), and .75 (OS) and .78 (LFS) for the IPSS-M (Table1). Conclusion: Reclassification from IPSS to IPSS-R or IPSS-M upgraded multiple subjects from a LR to a HR category, describing the ASCERTAIN patient population as a majority higher risk population with worse prognosis than previously assumed based on the IPSS. The efficacy as measured by the CR rates did not change when the LR and HR categories were defined by the different risk stratification systems. In contrast, the c-index improves with migration from IPSS to IPSS-R to IPSS-M, indicating an increased discriminatory ability of IPSS-M score in comparison to IPSS and IPSS-R, to predict patient outcomes.

SummaryPeople with heart failure (HF) experience a high symptom burden and prevalent insomnia. However, little is known about daytime symptom trajectories after cognitive behavioural therapy for insomnia (CBT‐I). In this study we describe: (1) daytime symptom trajectories among adults with insomnia and stable HF over 1 year, (2) how symptom trajectories differ between CBT‐I versus HF self‐management interventions, and (3) associations between demographic, clinical, and sleep characteristics, perceived stress, health‐related quality of life (HRQoL), functional performance and daytime symptoms trajectories. We retrospectively analysed data from a randomised controlled trial of CBT‐I versus HF self‐management (NCT0266038). We measured sleep, perceived stress, HRQoL, and functional performance at baseline and symptoms at baseline, 3, 6, and 12 months. We conducted group‐based trajectory modelling, analysis of variance, chi‐square, and proportional odds models. Among 175 participants (mean [standard deviation] age 63.0 [12.9] years, 57.1% male, 76% White), we found four daytime symptom trajectories: (A) low improving symptoms (38.3%); (B) low psychological symptoms and high improving physical symptoms (22.8%); (C) high improving symptoms (24.0%); and (D) high not improving symptoms (14.9%). The CBT‐I versus the HF self‐management group had higher odds of belonging to Group A compared to other trajectories after controlling for baseline fatigue (odds ratio = 3.27, 95% confidence interval 1.39–7.68). The difference between the CBT‐I and the HF self‐management group was not statistically significant after controlling for baseline characteristics. Group D had the highest body mass index, perceived stress, and insomnia severity and the lowest cognitive ability, HRQoL, and functional performance. Research is needed to further evaluate factors contributing to symptom trajectories.

Background: In patients with rheumatoid arthritis (RA), persistent inflammation and increasing disease activity are associated with increased risk of adverse events (AEs). Objectives: To assess relationships between RA disease activity and AEs of interest in patients treated with tofacitinib or tumor necrosis factor inhibitors (TNFi). Design: This was a post hoc analysis of a long-term, postauthorization safety endpoint trial of tofacitinib versus TNFi. Methods: In ORAL Surveillance, 4362 patients aged ⩾50 years with active RA despite methotrexate, and ⩾1 additional cardiovascular (CV) risk factor, were randomized 1:1:1 to tofacitinib 5 or 10 mg twice daily or TNFi for up to 72 months. Post hoc time-dependent multivariable Cox analysis evaluated the relationships between disease activity [Clinical Disease Activity Index (CDAI)], inflammation [C-reactive protein (CRP)], and AEs of interest. The AEs included major adverse CV events (MACE), malignancies excluding nonmelanoma skin cancer (NMSC), venous thromboembolism (VTE), serious infections, herpes zoster (HZ), nonserious infections excluding HZ (NSI), and death. Results: Across treatments, risk for NSI was higher when patients had CDAI-defined active disease versus remission; MACE and VTE risks trended higher, but did not reach significance. Hazard ratios for MACE, malignancies excluding NMSC, VTE, infections, and death rose by 2–9% for each 5-mg/L increment in serum CRP. The interaction terms evaluating the impact of treatment assignment on the relationship between disease activity and AEs were all p > 0.05. Conclusion: In ORAL Surveillance, higher NSI risk was observed in the presence of active RA versus remission. The risk of MACE and VTE directionally increased in active disease versus remission, although statistical power was limited due to small event numbers in these categories. The relationship between active disease and AEs was not impacted by treatment with tofacitinib versus TNFi. Registration: NCT02092467.

ImportanceIncreased white matter hyperintensity (WMH) volume is a common magnetic resonance imaging (MRI) finding in both autosomal dominant Alzheimer disease (ADAD) and late-onset Alzheimer disease (LOAD), but it remains unclear whether increased WMH along the AD continuum is reflective of AD-intrinsic processes or secondary to elevated systemic vascular risk factors.ObjectiveTo estimate the associations of neurodegeneration and parenchymal and vessel amyloidosis with WMH accumulation and investigate whether systemic vascular risk is associated with WMH beyond these AD-intrinsic processes.Design, Setting, and ParticipantsThis cohort study used data from 3 longitudinal cohort studies conducted in tertiary and community-based medical centers—the Dominantly Inherited Alzheimer Network (DIAN; February 2010 to March 2020), the Alzheimer’s Disease Neuroimaging Initiative (ADNI; July 2007 to September 2021), and the Harvard Aging Brain Study (HABS; September 2010 to December 2019).Main Outcome and MeasuresThe main outcomes were the independent associations of neurodegeneration (decreases in gray matter volume), parenchymal amyloidosis (assessed by amyloid positron emission tomography), and vessel amyloidosis (evidenced by cerebral microbleeds [CMBs]) with cross-sectional and longitudinal WMH.ResultsData from 3960 MRI sessions among 1141 participants were included: 252 pathogenic variant carriers from DIAN (mean [SD] age, 38.4 [11.2] years; 137 [54%] female), 571 older adults from ADNI (mean [SD] age, 72.8 [7.3] years; 274 [48%] female), and 318 older adults from HABS (mean [SD] age, 72.4 [7.6] years; 194 [61%] female). Longitudinal increases in WMH volume were greater in individuals with CMBs compared with those without (DIAN: t = 3.2 [P = .001]; ADNI: t = 2.7 [P = .008]), associated with longitudinal decreases in gray matter volume (DIAN: t = −3.1 [P = .002]; ADNI: t = −5.6 [P < .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P < .001]; ADNI: t = 9.1 [P < .001]; HABS: t = 5.4 [P < .001]), and not associated with systemic vascular risk (DIAN: t = 0.7 [P = .40]; ADNI: t = 0.6 [P = .50]; HABS: t = 1.8 [P = .06]) in individuals with ADAD and LOAD after accounting for age, gray matter volume, CMB presence, and amyloid burden. In older adults without CMBs at baseline, greater WMH volume was associated with CMB development during longitudinal follow-up (Cox proportional hazards regression model hazard ratio, 2.63; 95% CI, 1.72-4.03; P < .001).Conclusions and RelevanceThe findings suggest that increased WMH volume in AD is associated with neurodegeneration and parenchymal and vessel amyloidosis but not with elevated systemic vascular risk. Additionally, increased WMH volume may represent an early sign of vessel amyloidosis preceding the emergence of CMBs.