Citations

ABSTRACT Pulmonary hypertension due to interstitial lung disease (PH‐ILD) is associated with high morbidity and mortality. Real‐world patients initiating inhaled treprostinil are not well‐characterized. This retrospective cohort study aimed to evaluate healthcare resource utilization in patients with PH‐ILD who initiated treatment with inhaled treprostinil vs patients who remained untreated. Adult patients diagnosed with PH‐ILD were indexed on initiation of inhaled treprostinil and patients who remained untreated were indexed on first observed PH diagnosis (31 March 2021–30 September 2024). Patients were excluded if they were ever treated with any pulmonary arterial hypertension therapy. Inhaled treprostinil patients were matched to up to four untreated patients. All‐cause per‐patient per‐month (PPPM) hospitalizations and ICU‐related hospitalizations were the primary outcomes of interest. 294 patients treated with inhaled treprostinil and 736 untreated patients were identified. Mean all‐cause PPPM hospitalizations remained unchanged in the pre‐index vs post‐index periods in the inhaled treprostinil cohort (0.11 vs 0.12; p = 0.42) but significantly increased in untreated patients (0.12 vs 0.23; p < 0.01). ICU utilization also remained unchanged in the pre‐index vs post‐index periods for the inhaled treprostinil cohort (0.06 vs 0.07; p = 0.11) compared to the untreated cohort (0.06 vs 0.13; p < 0.01). Untreated patients had significantly higher post‐index PPPM hospitalizations ( p < 0.01) and ICU utilization ( p < 0.01) compared to inhaled treprostinil patients. Patients who initiated inhaled treprostinil had a 30% decreased risk of hospitalization compared to untreated patients (relative risk: 0.70; 95% CI: 0.59–0.83; p < 0.01). Among real‐world patients with PH‐ILD, treatment with inhaled treprostinil is associated with fewer all‐cause hospitalizations and ICU‐related hospitalizations compared to untreated patients with PH‐ILD.

Objective To examine real‐world patterns in pain management among adults with systemic lupus erythematosus (SLE), we focused on the sequencing of pain modalities, polypharmacy, and demographic variation. Methods We conducted a retrospective analysis of electronic health records from adults with SLE treated at a single academic medical center between 2005 and 2024. We included patients who received at least one pain‐related therapy, including glucocorticoids, opioids, nonsteroidal anti‐inflammatory drugs (NSAIDs), antidepressants, anticonvulsants, muscle relaxants, and nonpharmacologic interventions. We used sequence analysis and Sankey diagrams to map treatment trajectories and compared patterns across two periods: 2005 to 2014 and 2015 to 2024. Polypharmacy was defined as receiving five or more pain‐related prescriptions within 12 months. We examined trends by age, sex, and race or ethnicity. Results Among 769 patients, initiation of glucocorticoids and opioids declined over time (58%–51% and 28%–22%, respectively), whereas NSAID use increased (19%–29%). The median number of pain prescriptions decreased, and polypharmacy prevalence dropped from 53% to 45%. In recent years, younger adults and men received more prescriptions, with 69% of men receiving five or more compared with 43% of women. Racial disparities narrowed overall in recent years but persisted in sensitivity analyses excluding glucocorticoids. Conclusion Pain management in SLE is shifting away from high‐risk therapies; however, prescribing intensity remains high and varies by demographic group. Visualizations serve as a complementary lens to traditional prescription counts, allowing representation of polypharmacy not only by volume but also by the diversity and sequencing of therapeutic classes over time.

Importance Primary brain and central nervous system cancer (collectively referred to as CNS cancer) comprises 2% of all human cancers and poses significant health and economic challenges in the United States. Objective To analyze CNS cancer burden in the US, stratified by time, location (state and division), sex, age group, and Sociodemographic Index (SDI). Design, Setting, and Participants This cross-sectional study involved a repeated analysis of Global Burden of Disease Study (GBD) 2021 data in 2024. Using data from 183 sources, CNS cancer metrics in the US were estimated across states and years. US CNS cancer metrics across all sexes and age groups were included in the GBD. Exposure CNS cancer diagnosis. Main Outcomes and Measures Overall and age-standardized estimates of the incidence, prevalence, mortality, disability-adjusted life-years (DALYs), years of life lost, and years lived with disability per 100 000 population, including 95% uncertainty intervals (UIs), and time trends. Results In 2021, for all age groups and sexes across the US, there were 31 780 incident cases (95% UI, 29971.1 to 32843.9). Age-standardized incidence, DALYs, and mortality rates per 100 000 population were 6.91 (95% UI, 6.58 to 7.12), 134.38 (95% UI, 129.83 to 137.95), and 4.1 (95% UI, 3.87 to 4.22), respectively. Despite no significant change observed in the overall incidence between 1990 and 2021, DALY and mortality rates decreased by 15.77% (95% UI, −17.75% to −13.68%) and 8.41% (95% UI, −11.09% to −6.22%), respectively. Substantial geographic variability was noted. Mississippi, Alabama, Kentucky, and Kansas (West North Central and East South Central divisions) and West Virginia faced persistently high burdens over the past 30 years. Sex differences were evident; disease burden was consistently higher in males compared with females. Age-specific estimates showed a bimodal distribution: the youngest group (&amp;lt;5 years) showed a significant decrease in incidence rate (−34.42% to −11.56%), whereas older age groups (&amp;gt;70 years) experienced increasing trends. DALYs and mortality rates were negatively correlated with SDI (ρ = −0.6860 and ρ = −0.6391; P &amp;lt; .001). Conclusions and Relevance These findings provide valuable insights into the CNS cancer burden across the US by age, sex, location, and SDI, enabling better public health status assessments, health care policy restructuring, and resource redistribution for improved care.

Background: Breast cancer polygenic risk scores (PRS) and traditional risk models (e.g., the Gail model [Gail]) are known to contribute largely independent information, but it is unclear how the overlap varies by ancestry, age, disease type (invasive breast cancer, DCIS), and risk threshold. Methods: In a retrospective case–control study, we evaluated risk prediction performance in 180,398 women (161,849 of European ancestry; 18,549 of Asian ancestry). Odds ratios (ORs) from logistic regression models and the area under the receiver operating characteristic curve (AUC) were estimated. Results: PRS for invasive disease showed a stronger association in younger (<50 years) women (OR = 2.51, AUC = 0.622) than in women ≥ 50 years (OR = 2.06, AUC = 0.653) of European ancestry. PRS performance in Asians was lower (OR range = 1.62–1.64, AUC = 0.551–0.600). Gail performance was modest across groups and poor in younger Asian women (OR = 0.94–0.99, AUC = 0.523–0.533). Age interactions were observed for both PRS (p < 0.001) and Gail (p < 0.001) in Europeans, whereas in Asians, age interaction was observed only for Gail (invasive: p < 0.001; DCIS: p = 0.002). PRS identified more high-risk individuals than Gail in Asian populations, especially ≥50 years, while Gail identified more in Europeans. Overlap between PRS, Gail, and family history was limited at higher thresholds. Calibration analysis, comparing empirical and model-based ROC curves, showed divergence for both PRS and Gail (p < 0.001), which indicates miscalibration. In Europeans, family history and prior biopsies drove Gail discrimination. In younger Asians, age at first live birth was influential. Conclusions: PRS adds value to risk stratification beyond traditional tools, especially in younger women and Asian ancestry populations.

BACKGROUND: The association between breast cancer diagnosis, treatment, and the risk of incident ischemic stroke remains unclear. We aimed to investigate ischemic stroke risk among breast cancer survivors and evaluate the association by age, follow-up duration, and cancer treatments. METHODS: Using the Korean National Health Insurance Service database, we studied 113,232 women newly diagnosed with breast cancer (aged ≥18 years) without prior stroke history who underwent breast cancer surgery between January 2010 and December 2016. Each was matched 1:3 by birth year to a cancer-free female population (n=322,818). Subdistribution hazard ratios (sHRs) and 95% confidence intervals (CIs) were estimated, accounting for death as a competing risk and adjusting for sociodemographic factors and cardiovascular and noncardiovascular comorbidities. RESULTS: Over a mean follow-up of 7.2 years, ischemic stroke occurred in 1,155 (1.0%) breast cancer surgery survivors. Overall, breast cancer survivors had a slightly lower risk of stroke than cancer-free women (sHR 0.94; 95% CI 0.88–1.00). However, stroke risk was elevated in the short term following diagnosis (sHR 1.59, 95% CI 1.34–1.89 at 1 year; sHR 1.17, 95% CI 1.05–1.30 at 3 years) across all age groups, with stronger associations observed at 3 and 6 months post-diagnosis. A reduced risk was observed after 1 year in a landmark analysis that included only individuals event-free at the 1-year follow-up (sHR 0.87, 95% CI 0.81–0.93). Among breast cancer survivors, treatment with anthracycline (sHR 1.25) and the combination of tamoxifen and aromatase inhibitors (sHR 1.49) were associated with increased stroke risk, whereas radiation therapy was associated with decreased risk (sHR 0.84). These associations weakened and became nonsignificant after 1 year. Stroke risk was also higher in breast cancer survivors with low income, hypertension, diabetes, or current smoking. CONCLUSION: The association between breast cancer and ischemic stroke risk is time-dependent, with increased short-term risk post-diagnosis and treatment, followed by a decline over time. These findings highlight the importance of proactive stroke risk management, including baseline cardiovascular assessments and ongoing monitoring for thromboembolic events.

Abstract Understanding tumor cell dynamics can improve prognosis and treatment but remains limited for lung adenocarcinoma in people who have never smoked (NS-LUAD). With RNA sequencing data from 684 NS-LUAD cases and validation in an independent dataset, we identified three subtypes with distinct phenotypic traits and cell compositions. Additional genomic and histologic data further characterized the subtypes. “Steady,” marked by low proliferation, high alveolar cell fraction, moderate-to-well differentiation, and fewer driver gene alterations, is linked to prolonged survival and low immune evasion. “Proliferative” shows high proliferation markers, TP53 mutations, and gene fusions. “Chaotic,” with high epithelial-to-mesenchymal transition markers, has the worst prognosis, even within stage I tumors. Lacking known molecular or histologic characteristics, this aggressive subtype is solely identified by transcriptomic data. A 60-gene signature recapitulates the classification and predicts survival even within subgroups based on tumor stage or known genomic features, emphasizing its potential for improving early-stage NS-LUAD prognostication in clinical settings. Significance: The transcriptome of 684 NS-LUAD identifies three subtypes with different cellular dynamics and genomic and morphologic features. A 60-gene signature accurately stratifies subjects for mortality risk, even in stage I, offering a potential clinically applicable tool for treatment decision-making in patients with NS-LUAD. See related commentary by Azizi et al., p. 423

Abstract Clinical flow cytometry laboratories are facing rising test volumes, greater assay complexity, and increasing requirements for quality control and assay validation. In response, the International Clinical Cytometry Society (ICCS) conducted a workload survey in early 2023 to gather updated information on assay volumes, complexity, staffing, and technology. Data analysis focused on identifying correlations between length of time to introduce new assays and other factors as a means to gain insight about laboratories that seem to be either adapting or struggling. Flow cytometry assays were categorized into 3 levels of technical/interpretative complexity: high (e.g., measurable/minimal residual disease (MRD assays)), moderate (e.g., leukemia/lymphoma assays (Assays L&L ), excluding MRD assays), and low (e.g., CD4 count). Annual assays per staff member were calculated according to staff involved in case sign‐out (Staff Signout ) or other laboratory operations (Staff LabOps ). Respondents were from 101 laboratories in the United States (69.3%), Canada (4.0%), and other countries (26.7%). Low, moderate, and high technical/interpretative complexity assays were performed in 85.1%, 97.0%, and 47.5% of all laboratories, respectively. Median annual total assays (Assays Total ) per laboratory were 3515 and, based on complexity, were 1518.5 (low), 1808.8 (moderate), and 350 (high). Among all laboratories, the median time (interquartile range) to introduce new Assays L&L was 6 mos. (4–12 mos.), to introduce MRD assays was 11 mos. (5–12 mos.), and to validate/go‐live with new cytometers was 8 mos. (4–12 mos.); these times positively correlated with each other. This study confirmed significantly increased workload since the prior ICCS 2013 workload survey with a concurrent decrease in Staff LabOps . Faster introduction of new assays correlated with other successes, including quicker validation of and going live with new cytometers. Among all laboratories, those that performed myeloid MRD assays versus those that did not were also found to be faster to introduce new assays. The need for sufficient staffing has been emphasized because laboratories with both higher annual volumes of myeloma MRD assays and higher ratios of Assays Total per Staff LabOps were slower to introduce new assays. “Lack of staff and/or time dedicated or protected for assay development” and, more generally, “staff number” were the most commonly identified major barriers for new assay development, with the former specifically linked to slower introduction of new assays among all laboratories.

ABSTRACT We conducted a USA claims‐based cohort study in 20,705 patients with inflammatory bowel diseases (IBD) on advanced therapies to estimate the overall and comparative risk of tuberculosis between advanced therapies using inverse probability of treatment weighted Cox proportional hazards model. The incidence rate (IR, per 100,000 person‐years) of tuberculosis with TNF antagonists ( n = 9378) and non‐TNF‐targeting biologics (anti‐integrins [ n = 5877], anti‐interleukins [ n = 5450]) was similar (38 [95% CI, 8–69] vs. 33[7–59]). Adjusting for covariates, risk of tuberculosis was similar (HR, 1.16 [0.41–3.31]). In low incidence regions like USA, the incidence of tuberculosis after starting advanced therapies for IBD is very low, and comparable across advanced therapies.