For more than a decade, the Joint Commission has recommended the routine collection and use of sexual orientation and gender identity (SOGI) data as a way to help the medical community understand and address the disparities that lesbian, gay, bisexual, transgender, queer, and intersex (LGBTQI+) people experience throughout their lifetimes, and especially when seeking health care.... We believe health professionals and researchers need to proceed with SOGI data collection but should do so with caution.

Introduction Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, significantly increasing the risk of stroke. The introduction of direct oral anticoagulants (DOACs) since 2010 has transformed anticoagulation therapy, offering an alternative to warfarin with improved safety profiles. Despite the increased adoption of DOACs, disparities in their use among different racial and ethnic groups in the United States remain understudied. Methods This study utilized a repeated cross-sectional design, analyzing data from the National Ambulatory Medical Care Survey (NAMCS) from 2007 to 2019. The study population included adults diagnosed with AF or atrial flutter (AFL). We analyzed the temporal trends of DOAC and warfarin use from 2007 to 2019. We examined the prevalence of DOAC versus warfarin use and assessed associations between race/ethnicity, patient characteristics, and DOAC utilization from 2011 to 2019. Multivariable modified Poisson regression models were used to calculate adjusted prevalence ratios (aPR) for the associations. Results From 2011 to 2019, NAMCS recorded 3,224 visits involving AF or AFL, representing a weighted estimate of 103.6 million visits. DOAC use increased significantly, with apixaban becoming the predominant anticoagulant by 2016. Non-Hispanic Black patients were less likely to use DOACs compared to non-Hispanic White patients over time (aPR 0.75; 95% CI, 0.63-0.90). Patients with Medicaid insurance were also less likely to use DOACs (aPR 0.14; 95% CI: 0.04-0.46). Conclusion Despite the shift from warfarin to DOACs for AF and AFL treatment, significant racial and socioeconomic disparities persist. Non-Hispanic Black patients and those with Medicaid insurance are less likely to use DOACs. These findings highlight the need for targeted strategies to ensure equitable access to advanced anticoagulant therapies.

Multiple myeloma (MM) remains an incurable hematological malignancy demanding innovative therapeutic strategies. Targeting MYC, the notorious yet traditionally undruggable oncogene, presents an appealing avenue. This thesis aims to identify and characterize novel regulators of MYC expression as therapeutic targets in MM. Using a genome-scale CRISPR/Cas9 screen, we identify the WNK lysine deficient protein kinase 1 (WNK1) as a regulator of MYC expression in MM cells. Genetic and pharmacological inhibition of WNK1 reduces MYC expression and, further, disrupts the MYC-dependent transcriptional program. Mechanistically, WNK1 inhibition attenuates the activity of the immunoglobulin heavy chain (IgH) enhancer, thus reducing MYC transcription when this locus is translocated near the MYC locus. Furthermore, we show in MM cells possessing distinct translocation profiles that WNK1 inhibition also downregulates other oncogenes frequently translocated near the IgH locus, including CCND1, FGFR3, and NSD2, broadening its potential therapeutic implications. WNK1 inhibition profoundly impacts MM cell behaviors, leading to growth inhibition, cell cycle arrest, senescence, and apoptosis. Importantly, the WNK inhibitor WNK463 inhibits MM growth in primary patient samples as well as xenograft mouse models, and exhibits synergistic effects with various anti-MM compounds. Collectively, this study uncovers WNK1 as a promising therapeutic target in MM, and suggests the utility of IgH translocations as useful biomarkers.

Background The combination of intravenous thrombolysis (IVT) with mechanical thrombectomy (MT) may have clinical benefits for patients with medium vessel occlusion. Purpose To examine whether MT combined with IVT is associated with different outcomes than MT alone in patients with acute ischemic stroke (AIS) and medium vessel occlusion. Materials and Methods This retrospective study included consecutive adult patients with AIS and medium vessel occlusion treated with MT or MT with IVT at 37 academic centers in North America, Asia, and Europe. Data were collected from September 2017 to July 2021. Propensity score matching was performed to reduce confounding. Univariable and multivariable logistic regression analyses were performed to test the association between the addition of IVT treatment and different functional and safety outcomes. Results After propensity score matching, 670 patients (median age, 75 years [IQR, 64-82 years]; 356 female) were included in the analysis; 335 underwent MT alone and 335 underwent MT with IVT. Median onset to puncture (350 vs 210 minutes, P < .001) and onset to recanalization (397 vs 273 minutes, P < .001) times were higher in the MT group than the MT with IVT group, respectively. In the univariable regression analysis, the addition of IVT was associated with higher odds of a modified Rankin Scale (mRS) score 0-2 (odds ratio [OR], 1.44; 95% CI: 1.06, 1.96; P = .019); however, this association was not observed in the multivariable analysis (OR, 1.37; 95% CI: 0.99, 1.89; P = .054). In the multivariable analysis, the addition of IVT also showed no evidence of an association with the odds of first-pass effect (OR, 1.27; 95% CI: 0.9, 1.79; P = .17), Thrombolysis in Cerebral Infarction grades 2b-3 (OR, 1.64; 95% CI: 0.99, 2.73; P = .055), mRS scores 0-1 (OR, 1.27; 95% CI: 0.91, 1.76; P = .16), mortality (OR, 0.78; 95% CI: 0.49, 1.24; P = .29), or intracranial hemorrhage (OR, 1.25; 95% CI: 0.88, 1.76; P = .21). Conclusion Adjunctive IVT may not provide benefit to MT in patients with AIS caused by distal and medium vessel occlusion. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Wojak in this issue.

Purpose: Paxlovid is effective in reducing COVID-19 hospitalization and mortality. This study characterized Paxlovid use and evaluated racial/ethnic disparities over time among community-dwelling adults at high risk of progression to severe COVID-19 disease. Methods: This retrospective cohort study used the National COVID Cohort Collaborative (N3C) data and included individuals aged 18 years or older diagnosed with COVID-19 between January 2022 and December 2023. The study cohort included nonhospitalized individuals who were at high risk of COVID-19 progression, and selected the first COVID-19 episode in each quarter, including reinfection episodes. Paxlovid use was defined as receiving Paxlovid within ±5 days of a COVID-19 diagnosis. We used descriptive statistics to characterize Paxlovid use overall and by calendar quarter and race/ethnicity. We used a generalized estimating equations (GEE) models to quantify the association of race/ethnicity with Paxlovid use controlling for age, gender, and clinical characteristics. Results: Among 1 264 215 individuals at high risk of disease progression (1 404 607 episodes), Paxlovid use increased from 1.2% in January-March 2022 to 35.1% in October-December 2023. Paxlovid use was more common among non-Hispanic White individuals (23.9%) than non-Hispanic Black (16.5%) and Latinx/e (16.7%) patients. After adjusting age, gender, and clinical characteristics, Paxlovid use was less likely among non-Hispanic Black (odds ratio [OR] 0.69, 95% confidence interval [CI] 0.68-0.70) and Latinx/e (OR 0.72, CI 0.71-0.73) patients than non-Hispanic White patients. Conclusions: Among a large, diverse cohort of community-dwelling individuals with COVID-19, nearly two out of three eligible individuals did not receive Paxlovid, and minoritized racial/ethnic groups were less likely to use Paxlovid than their non-Hispanic White individuals.

Importance: Research on resilience after trauma has often focused on individual-level factors (eg, ability to cope with adversity) and overlooked influential neighborhood-level factors that may help mitigate the development of posttraumatic stress disorder (PTSD). Objective: To investigate whether an interaction between residential greenspace and self-reported individual resources was associated with a resilient PTSD trajectory (ie, low/no symptoms) and to test if the association between greenspace and PTSD trajectory was mediated by neural reactivity to reward. Design, setting, and participants: As part of a longitudinal cohort study, trauma survivors were recruited from emergency departments across the US. Two weeks after trauma, a subset of participants underwent functional magnetic resonance imaging during a monetary reward task. Study data were analyzed from January to November 2023. Exposures: Residential greenspace within a 100-m buffer of each participant's home address was derived from satellite imagery and quantified using the Normalized Difference Vegetation Index and perceived individual resources measured by the Connor-Davidson Resilience Scale (CD-RISC). Main outcome and measures: PTSD symptom severity measured at 2 weeks, 8 weeks, 3 months, and 6 months after trauma. Neural responses to monetary reward in reward-related regions (ie, amygdala, nucleus accumbens, orbitofrontal cortex) was a secondary outcome. Covariates included both geocoded (eg, area deprivation index) and self-reported characteristics (eg, childhood maltreatment, income). Results: In 2597 trauma survivors (mean [SD] age, 36.5 [13.4] years; 1637 female [63%]; 1304 non-Hispanic Black [50.2%], 289 Hispanic [11.1%], 901 non-Hispanic White [34.7%], 93 non-Hispanic other race [3.6%], and 10 missing/unreported [0.4%]), 6 PTSD trajectories (resilient, nonremitting high, nonremitting moderate, slow recovery, rapid recovery, delayed) were identified through latent-class mixed-effect modeling. Multinominal logistic regressions revealed that for individuals with higher CD-RISC scores, greenspace was associated with a greater likelihood of assignment in a resilient trajectory compared with nonremitting high (Wald z test = -3.92; P < .001), nonremitting moderate (Wald z test = -2.24; P = .03), or slow recovery (Wald z test = -2.27; P = .02) classes. Greenspace was also associated with greater neural reactivity to reward in the amygdala (n = 288; t277 = 2.83; adjusted P value = 0.02); however, reward reactivity did not differ by PTSD trajectory. Conclusions and relevance: In this cohort study, greenspace and self-reported individual resources were significantly associated with PTSD trajectories. These findings suggest that factors at multiple ecological levels may contribute to the likelihood of resiliency to PTSD after trauma.

This study explored why some elderly females do not adhere to their bone density tests. It found that factors like age, race, marital status, insurance type, social vulnerability index, and vaccination status influence completion of these tests. Addressing these differences could improve the management of bone health in older adults. Purpose: This study investigated factors influencing the cancellation of dual-energy x-ray absorptiometry (DXA) scans among females aged 65 and above during the COVID-19 pandemic. Methods: Utilizing a dataset of 19,066 females from 2021 to 2023, the research employed chi-squared tests and logistic regression analyses to examine demographic, socio-economic, and health-related determinants of DXA scan adherence. Results: Key findings revealed that younger seniors, White patients, married individuals, those with commercial/private or Medicare insurance, and vaccinated persons were more likely to complete DXA scans. In contrast, Asian and African American females, along with those from higher Social Vulnerability Index areas, showed lower completion rates. Conclusion: These results highlight the need for tailored strategies to improve osteoporosis screening adherence, focusing on identified demographic groups to enhance overall healthcare outcomes in osteoporosis management.

Viruses pose significant threats to human health, with their impacts varying by type. Advances in single-cell RNA sequencing (scRNA-seq) have enhanced our understanding of viruses and host responses by mapping human and viral transcripts within individual cells. However, ambient RNA contamination complicates the accurate identification of viral infections in scRNA-seq datasets. To address this, we introduced scVirusFinder, a method that uses a zero-inflated negative binomial model followed by a support vector machine classifier to identify virus-infected cells. This approach improves the detection of true viral infections in scRNA-seq datasets of virus infected cells. We applied this method to scRNA-seq data from nasal washes of healthy donors and those with acute influenza during the 2017-18 season. We identified seventeen cell populations, including a novel epithelial cell population with high MHC class II gene expression in infected individuals. Influenza virus infections were found in most cell populations, primarily in epithelial cells and major immune cells such as macrophages and neutrophils. Using viral reads from the scRNA-seq data, we discovered that each donor harbored a unique influenza variant with distinct non-synonymous mutations. Additionally, we observed interferon production and response in infected samples, with type III interferon particularly produced in infected ciliated epithelial cells. This study highlights the challenge of identifying infected cells from scRNA-seq datasets and provides a robust solution applicable to clinical samples, enhancing our understanding of viral infections and paving the way for therapeutic discoveries.

Introduction: The Woven EndoBridge (WEB) device is emerging as a novel therapy for intracranial aneurysms, but its use for off-label indications requires further study. Using machine learning, we aimed to develop predictive models for complete occlusion after off-label WEB treatment and to identify factors associated with occlusion outcomes. Methods: This multicenter, retrospective study included 162 patients who underwent off-label WEB treatment for intracranial aneurysms. Baseline, morphological, and procedural variables were utilized to develop machine-learning models predicting complete occlusion. Model interpretation was performed to determine significant predictors. Ordinal regression was also performed with occlusion status as an ordinal outcome from better (Raymond Roy Occlusion Classification [RROC] grade 1) to worse (RROC grade 3) status. Odds ratios (OR) with 95 % confidence intervals (CI) were reported. Results: The best performing model achieved an AUROC of 0.8 for predicting complete occlusion. Larger neck diameter and daughter sac were significant independent predictors of incomplete occlusion. On multivariable ordinal regression, higher RROC grades (OR 1.86, 95 % CI 1.25-2.82), larger neck diameter (OR 1.69, 95 % CI 1.09-2.65), and presence of daughter sacs (OR 2.26, 95 % CI 0.99-5.15) were associated with worse aneurysm occlusion after WEB treatment, independent of other factors. Conclusion: This study found that larger neck diameter and daughter sacs were associated with worse occlusion after WEB therapy for aneurysms. The machine learning approach identified anatomical factors related to occlusion outcomes that may help guide patient selection and monitoring with this technology. Further validation is needed.

Like many libraries, the University of Massachusetts Chan Medical School Lamar Soutter Library adopted a hybrid work model when returning to onsite work after being remote during the COVID-19 Pandemic. To inform this model, a Hybrid Work Environment Team used existing metrics, a literature review, and surveyed staff on how they felt about hybrid work. Most Library staff stated that 75%-100% of their work could be completed remotely and the most popular onsite schedule was two or three days a week. The hybrid work model provides benefits of both remote and onsite work and hopefully mitigates the drawbacks of both.