Canadian Medical Association Journal

Multi-Cancer Detection (MCD) tests can detect more than 50 different types of cancer using a blood test. Recently passed law in the U.S. guarantees that Medicare will pay for these tests when they are FDA approved and show evidence for clinical benefit. This manuscript provides estimates of the cost of MCD tests to Medicare under different assumptions of cost per test, eligibility, and screening uptake in the eligible population. This manuscript additionally estimates the cost of follow-up testing resulting from false positive results, which are considered avoidable costs caused by the screening test.

Background: High intensity statins are foundational after acute coronary syndrome (ACS), yet intensive care unit prescribing occurs while renal reserve, perfusion, and interacting therapies are changing. We tested a renal safety checkpoint integrating kidney status, hemodynamic instability, and drug interaction burden to identify when statin intensity may become nonexchangeable. Methods: We emulated an active-comparator target trial across MIMIC-IV, eICU, and MIMIC-III. Critically ill adults with ACS, acute myocardial infarction, or percutaneous coronary intervention who received high- or moderate-intensity statins within 24 hours were included. The primary outcome was 7-day KDIGO stage 2 or 3 acute kidney injury or incident renal replacement therapy. Eligibility, time zero, treatment assignment, and follow-up were aligned. Database-specific propensity scores, overlap weighting, and standardization addressed confounding and treatment overlap. Safety domains, longitudinal analyses, bootstrap resampling, source omission, and endpoint sensitivities assessed robustness. Results: Among 5,178 patients, 761 developed the primary outcome, including 223 who initiated renal replacement therapy. Standardized risks were 17.40% with high-intensity therapy and 15.01% with moderate-intensity therapy (risk difference, 2.39 percentage points [95% confidence interval (CI), -0.23 to 5.05]; risk ratio, 1.16 [95% CI, 0.99 to 1.39]). Risk separation was greatest with high hemodynamic instability (5.78 percentage points [95% CI, 1.56 to 9.74]) and high drug-interaction burden (6.24 percentage points [95% CI, -0.44 to 12.19]). Renal replacement therapy showed a 1.33-point risk difference (95% CI, 0.18 to 2.67). Conclusions: This study moves statin safety assessment beyond fixed dose label or isolated creatinine measurement. The findings support a clinically actionable monitoring strategy in which early statin intensity is reassessed against evolving perfusion, kidney status, and interaction burden. This approach preserves intensive lipid lowering for physiologically suitable patients while identifying a high risk window in which temporary moderation.

Background: Percutaneous mechanical circulatory support (pMCS) is increasingly used in critically ill patients, yet its value in relation to cost and outcomes remains unclear. We evaluated national variation in utilization, outcomes, and cost, and introduced a value of care framework integrating risk-adjusted outcomes and expenditures. Methods: We performed a retrospective cohort study using the National Inpatient Sample to identify non-elective hospitalizations of critically ill patients undergoing intra-aortic balloon pump (IABP) or percutaneous left ventricular assist device (pLVAD) placement using ICD-10 codes. Multivariable logistic regression and generalized linear models were used to estimate expected outcomes and costs. Observed-to-expected (O/E) ratios were calculated, and a value index was derived to compare procedural strategies. Results: A total of 57,910 weighted hospitalizations were included (IABP 78%, pLVAD 22%). In-hospital mortality exceeded 30% across regions. Significant regional variation was observed, with the West demonstrating the highest costs and the Midwest the lowest (p<0.001). Mean hospital charges were higher for pLVAD compared with IABP ($403,731 vs $320,769). Both strategies achieved outcomes better than expected after risk adjustment (O/E 0.92); however, costs were higher than expected for both, with greater relative cost inflation observed for IABP (O/E 1.41) and higher absolute costs for pLVAD. In value-of-care analysis, IABP was associated with lower cost and comparable outcomes, while pLVAD demonstrated higher cost without proportional outcome improvement. Conclusion: Substantial variation exists in the cost, outcomes, and value of pMCS strategies. While both IABP and pLVAD achieve favorable risk-adjusted outcomes, pLVAD is associated with higher costs without commensurate clinical benefit.

Background: Primary malignant cardiac tumors (PMCTs) are rare and histologically heterogeneous. Objective: To compare demographics, specific ICD-O-3 morphologies, first-course treatment patterns, annual registered case counts, and unadjusted overall survival between soft-tissue and hematologic PMCTs. Methods: We identified 730 PMCT cases diagnosed from 2000 to 2021 in SEER 18 (ICD-O-3 topography C38.0). Histologic lineage was assigned from ICD-O-3 morphology. Comparative analyses included soft-tissue (n=458) and hematologic (n=212) tumors. First-course variables were primary-site surgery, chemotherapy (yes versus no/unknown), and radiotherapy (radiation versus none/unknown). Groups were compared with chi-square tests. Overall survival was estimated with Kaplan-Meier methods; follow-up was truncated at 120 months. Results: Soft-tissue PMCTs occurred predominantly at ages 45-64 years (67.9%), whereas hematologic PMCTs occurred predominantly at age [&ge;]65 years (63.2%; p<0.001). Men comprised 59.9% of hematologic and 49.3% of soft-tissue cases (p=0.014). The leading soft-tissue morphology was hemangiosarcoma/angiosarcoma (ICD-O-3 9120/3; 201/458, 43.9%); synovial sarcoma accounted for 20/458 cases (4.4%). Diffuse large B-cell lymphoma, NOS, accounted for 131/212 hematologic tumors (61.8%). Any primary-site surgery was recorded in 66.6% of soft-tissue versus 15.6% of hematologic cases (p<0.001). Chemotherapy was recorded in 67.5% versus 51.1% (p<0.001), and radiotherapy in 9.0% versus 20.5% (p<0.001). In exploratory Kaplan-Meier analyses, hematologic patients with recorded chemotherapy had higher unadjusted 120-month overall survival than those without recorded chemotherapy (42.0% versus 12.2%; log-rank p=7.5x10-). Radiation-associated survival differences were not statistically significant in either lineage. Conclusions: Soft-tissue and hematologic PMCTs have distinct age distributions, named histologies, and first-course treatment patterns in SEER. These findings describe registry coding and do not establish treatment effectiveness or population incidence.

Improving primary care is a long-standing strategy to constrain health care spending. Yet, evaluations of primary care models focused on payment reform have shown minimal effects on total cost of care. We report the results from a large-scale, real-world evaluation of an advanced primary care model that restructures access through same-day and next-day appointments, on-demand video visits, asynchronous clinician messaging, and extended hours. Using a stacked-cohort difference-in-differences design with entropy balancing and inverse probability of censoring weighting, we analyzed multi-payer claims covering April 2022 through March 2025. Advanced primary care use was associated with an 8.6% reduction in total cost of care (-$729 per patient per year; P = 0.004), driven by lower specialist cost (-$939/year; P < 0.001) and, to a lesser degree, by reductions in inpatient (-$134/year; P < 0.001), urgent care (-$70/year; P < 0.001), and emergency department cost (-$16/year; P = 0.02), partially offset by higher primary care cost (+$350/year; P < 0.001). The specialist reduction was concentrated in knowledge-based consultative encounters (-$663/year; P < 0.001), while procedural specialist cost was largely unchanged (-$276/year; P = 0.09). Cost differences emerged in the first post-index month. These findings suggest that advanced primary care may reduce total health care spending, with observed savings driven primarily by lower spending on consultative specialty care.

Background: Ticagrelor and prasugrel are recommended P2Y12 inhibitors for patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI), yet uncertainty persists regarding their direct comparative evidence and guideline recommendations differ. Methods: We conducted a multinational retrospective new-user cohort study across 7 claims and electronic health record databases. Adults with ACS undergoing first PCI who initiated ticagrelor or prasugrel were included; patients with prior major ischemic or hemorrhagic events or oral anticoagulant use were excluded. The primary outcome was 1-year major adverse cardiovascular events (MACE: all-cause mortality, acute myocardial infarction, or stroke). Secondary outcomes included net adverse clinical events (NACE) and individual components. Propensity scores were estimated using large-scale L1-regularized logistic regression and applied through stratification. Prespecified diagnostics (covariate balance, empirical equipoise, and systematic error) determined eligibility of each database for inclusion in meta-analysis. Database-specific hazard ratios (HRs) were combined using Bayesian random-effects meta-analysis. Results: Among 7 participating databases, 3 met prespecified diagnostic criteria and were included in the primary meta-analysis, comprising 133,718 patients from one nationwide Korean claims database and two U.S. commercial claims databases (ticagrelor, 109,639; prasugrel, 24,079). For 1-year MACE, the pooled HR for ticagrelor versus prasugrel was 1.28 (95% credible interval [CrI], 0.89-1.88), with substantial between-database heterogeneity. Sensitivity analyses across alternative time-at-risk definitions and propensity score matching were consistent. No statistically credible differences were observed for NACE (HR 1.23, CrI 0.88-1.75), all-cause mortality (HR 1.17, CrI 0.78-1.77), cardiovascular mortality (HR 1.23, CrI 0.81-1.87), ischemic events (HR 1.28, CrI 0.88-1.90), hemorrhagic events (HR 1.01, CrI 0.72-1.39), acute myocardial infarction (HR 1.30, CrI 0.88-1.94), stroke (HR 1.09, CrI 0.73-1.58), or gastrointestinal bleeding (HR 1.04, CrI 0.77-1.41). In a post hoc meta-analysis restricted to the two U.S. databases, the pooled HR for 1-year MACE was 1.49 (95% CrI 1.05-2.10). Conclusions: In this pre-specified multinational observational study, no statistically credible difference in 1-year MACE was observed between ticagrelor and prasugrel in patients with ACS undergoing PCI. However, substantial cross-database heterogeneity warrants further investigation into context-specific comparative effectiveness and safety.

Objective: To identify patient- and clinician-reported barriers, facilitators, and design requirements for a centralized cascade-screening program for familial hypercholesterolemia (FH) in the United States. Methods: From June through November 2023, we conducted individual telephone interviews with 20 patients with FH and 10 clinicians recruited from UT Southwestern Medical Center, Parkland Health, the North Texas Veterans Affairs, and other clinical settings. Interview guides were informed by the Consolidated Framework for Implementation Research. Transcripts were coded in Dedoose using a piloted codebook, with discrepancies and emergent themes resolved through consensus. An advisory panel then helped translate interview findings into program design requirements and implementation strategies. Results: Five themes characterized barriers and facilitators to centralized cascade screening: (1) health-system access and fragmentation, including screening and treatment costs, transportation, and cross-system coordination; (2) privacy and trust, including concerns about genetic information and unsolicited outreach; (3) family relationships and practical burden, including competing demands, language barriers, limited contact, fear, and denial; (4) clinician capacity and workflow, including limited time, knowledge, and genetic-counseling capacity; and (5) communication and care continuity. Participants recommended proband pre-notification of relatives, culturally and linguistically responsive materials, secure data exchange, standardized scripts, flexible testing pathways, and centralized coordination. These findings informed a program model incorporating a secure pedigree platform, educational and communication resources, testing coordination, and linkage to follow-up care. Conclusions: Patients and clinicians identified multilevel determinants that a centralized FH cascade-screening program must address. The findings support specific design requirements but do not establish program feasibility or effectiveness, which require prospective evaluation.

Introduction: Pediatric renal vein thrombosis is a rare but well-recognized form of venous thromboembolism. While long-term renal outcomes of neonatal cases are well-described, they are relatively unknown in cases affecting older children. Moreover, the ability of anticoagulation treatment to prevent these outcomes remains unknown. The objective of this study was to assess adverse long-term renal outcomes and determine if anticoagulation reduced their likelihood. Methods: Administrative data analysis utilizing the Pediatric Health Information System database. Renal vein thrombosis occurring in patients under 18 years were assessed. Cases involving tumor thrombus were excluded to focus the analysis only on thrombotic disease. Demographics, co-morbid conditions, anticoagulant therapies, and renal outcomes were assessed over a 9-year period. In sub-analyses, neonatal ([&le;]28 days) and non-neonatal renal vein thromboses were assessed to determine how their characteristics may differ. Results: 383 eligible renal vein thrombosis cases with 796 patient-years of follow-up were identified for analysis. 48.8% of the cases occurred in neonates. 25.3% of the cases occurred in children with pre-existing complex chronic conditions and 9.1% were associated with the onset of nephrotic syndrome. Mortality followed 15.1% of the cases, but causality cannot be assigned from administrative data. Most (80.2%) of the cases were treated with anticoagulation. Acute kidney injury occurred in 24% of cases, chronic kidney disease developed in 22.2%, hypertension in 26.9%, and proteinuria in 3.1%. Anticoagulation did not have a discernable effect on the likelihood of these long-term renal outcomes. Conclusion: Acute kidney injury, chronic kidney disease, and hypertension are prevalent in survivors of childhood renal vein thrombosis. Anticoagulation does not appear to reduce the incidence of long-term renal outcomes, but the low percentage of non-anticoagulated patients suggests treatment bias. Long-term kidney health surveillance is warranted in pediatric renal vein thrombosis survivors.

Introduction: Research has documented that obesity and morbidity are associated. Black persons in the United States (U.S.) incur higher financial costs of obesity-related multimorbidity (ORM). However, lifetime healthcare costs (LHCs) remain underexamined for these populations. Objective: We quantified racial differences in 1) LHCs and 2) lifetime healthcare cost differential (LCD) associated with ORM for ages > 40 years. Methods: We used the 2008- 2012 Medical Expenditure Panel Survey Household Component to examine unique obesity-related diseases (ORDs): high blood sugar, hypertension, coronary heart disease, and stroke. We used a prior published Markov model to simulate a person's life history of ORDs and compute LHCs among ages > 40 years. We computed LCD-associated ORM as the difference in LHC for those with ORM and LHC for members without ORDs. We quantified differences in race as the difference between LHC or LCD among White and Black men and women. Results: Our analytic sample included 53,035 Black and White persons representing 97,229,611 (S.E., 2,104,365), 12.4% as Black and 87.6% as White persons. ORM was more prevalent in the Black (21.2%) than the White group (13.4%). LHCs by race (Black/White) for women/men with ORM and LCDs associated with ORM (2012$) were $3 1,035/43,595 and $11,350/26,948 for age 40-49, $2 1,567/25,6 115 and $3,846/9,808 for 50-59, $9,863/18,515 and -$2,566/7,426 for 60-69, -$8,220/16,285 and -$11,524/3,865 for 70-79. Conclusions: Racial Differences in LHCs and LCDs related to ORM persist and vary across subpopulations. Future interventions designed to prevent/manage ORM are crucial for prioritizing populations with high LHCs and advancing health equity.

Background. Cardiovascular-outcomes trials are lengthy, costly, and associated with substantial uncertainty prior to readout. In-silico trial simulation using real-world data (RWD) has emerged as a potential tool to support earlier decision-making; however, evidence of prospective predictive validity, generated prior to trial result disclosure, remains limited. Methods. We applied a semi-mechanistic machine learning framework integrating real-world patient data with biologically informed drug representations to prospectively simulate the VESALIUS-CV trial evaluating evolocumab versus placebo. The simulation model was trained on a combination of patient-level real-world data and a drug-centric knowledge graph and validated for both patient-level and trial-level retrospective predictive performance. The model was then used to simulate VESALIUS-CV before public disclosure of trial results, using a locked model and prespecified eligibility criteria and primary endpoint aligned with the clinical protocol. A patient-level time-to-event model was used to generate virtual trial arms, from which cumulative incidence curves, hazard ratios, confidence intervals, and p-values for major adverse cardiovascular events (MACE) were estimated. Results. In retrospective validation, the model demonstrated strong patient-level discrimination, with time-dependent ROC-AUC values ranging from 0.80 to 0.90 across follow-up horizons. For trial-level validation, 22 randomized cardiovascular-outcomes trials were simulated, and hazard ratios for 3-point MACE across 24 between-arm comparisons showed consistent directional agreement and quantitative correlation with published results such that the model accurately predicted trial success, achieving an F1 score of 0.83, with precision of 0.79 and sensitivity of 0.89. In a fully prospective application, the simulation predicted a statistically significant reduction in 3-point MACE with evolocumab versus placebo, estimating a hazard ratio of 0.78 (95% CI, 0.70-0.87) at 54 months. These predictions were consistent with the subsequently reported VESALIUS-CV results, which demonstrated a hazard ratio of 0.75 (95% CI, 0.65-0.86) at 55 months of median follow-up. Conclusions. In a fully prospective setting, a RWD-driven, AI-based simulation accurately predicted the direction, magnitude, and temporal dynamics of treatment effects observed in the VESALIUS-CV trial. These results demonstrate that in-silico trial simulation can anticipate clinical outcomes in the prospective setting, supporting its use as a complementary tool for early decision-making, trial design optimization, and de-risking in cardiovascular drug development.

Introduction Respiratory syncytial virus (RSV) is an important cause of respiratory disease in older adults and adults with chronic medical conditions, contributing substantially to the healthcare burden in Italy. The availability of effective RSV vaccines provides an opportunity to reduce RSV-related morbidity, mortality, and healthcare costs in populations at high risk of severe disease. This study evaluates the potential public health impact and cost-effectiveness of vaccination using mRNA-1345 administered as a single dose compared with no vaccination in Italian high-risk adults aged 60-74 years and all adults aged [&ge;]75 years. Methods A static decision-analytic model was developed to project clinical and economic outcomes over a 5-year time horizon. Economic outcomes were evaluated from the Italian National Health Service (Servizio Sanitario Nazionale, SSN) perspective. Model inputs were informed by the most recent Italian epidemiological, clinical, and economic evidence, supplemented by published international data when necessary. Deterministic, probabilistic, and scenario analyses were conducted to assess the impact of uncertainty in model inputs and assumptions on the study results. Results Vaccination with mRNA-1345 in high-risk adults aged 60-74 years and all adults aged [&ge;]75 years was projected to avert over 19,800 hospitalizations, 4,000 emergency department visits, 381,000 outpatient visits, 6,000 RSV-attributable deaths, and 212,000 antibiotic prescriptions compared with no vaccination over a 5-year period. The total incremental cost of {euro}1,143 million and the additional 47,477 QALYs gained resulted in an ICER of {euro}24,078, which was below the commonly referenced willingness to-pay range of {euro}33,000-40,000 per QALY gained. Sensitivity analyses confirmed robustness of the analysis results. Conclusions Vaccination with mRNA-1345 is a cost-effective strategy for the prevention of RSV in high-risk adults aged 60-74 years and all adults [&ge;]75 years in Italy and has the potential to provide substantial public health benefits.

Importance: Active pharmacovigilance via sequential target trial emulation can detect adverse drug event (ADE) signals missed by spontaneous reporting, yet signals identified through high-dimensional screening require rigorous, pre-specified confirmation that addresses residual confounding, outcome heterogeneity, multiplicity, and absolute risk. Objective: To confirm or refute previously detected ADE signals associated with atorvastatin initiation among older adults by applying refined and more homogeneous outcome definitions, expanded family- and component-level exclusions, within-outcome false-discovery-rate control, and probabilistic quantitative bias analysis within a sequential target-trial framework. Design, Setting, and Participants: Confirmatory sequential target trial emulation study using Medicare fee-for-service claims (2017-2019). Eligible participants were statin-naive beneficiaries aged [&ge;]65 years hospitalized for myocardial infarction or cerebral infarction (primary diagnosis, length of stay [&ge;]3 days) and discharged home. Up to 14 nested daily trials (Trials 0-13) were constructed beginning on the discharge date, with eligibility, treatment assignment, and follow-up synchronized at each trial origin to eliminate immortal time. Primary analyses stacked all eligible trials; a pre-specified sensitivity analysis restricted inference to Trials 0 and 1, which achieved superior covariate balance (maximum standardized mean difference <0.1). Treatment Strategies: Initiation of atorvastatin (strategy A1) versus initiation of any other new outpatient medication (strategy A2). Strategy A0 (no new medication) was retained only to preserve sequential eligibility. Per-protocol effects were estimated after inverse-probability-of-treatment and inverse-probability-of-censoring weighting, with artificial censoring for treatment deviation (including a 30-day grace period) and death treated as a competing risk in Fine-Gray models. Main Outcomes and Measures: Previously detected signals and more granular, clinically coherent alternatives within the same outcome families (i.e., hemorrhagic events, cardiac valve disorders, musculoskeletal injuries, sensory symptoms, abnormal laboratory findings, and hyperglycemic events), defined by Clinical Classifications Software Refined categories plus independently validated Sentinel or published algorithms. Incident events required absence of relevant baseline codes. Confirmation required (1) within-outcome Benjamini-Hochberg q [&le;]0.05 with subdistribution hazard ratio (sHR) >1.0 and (2) both the median and 2.5th percentile of the bias-adjusted sHR remaining >1.0 across 5,000 Monte Carlo draws of probabilistic quantitative bias analysis (confounder-outcome risk ratio 1.25-3.00; prevalence difference 0.05-0.25). Absolute risks, risk differences, and numbers needed to harm (NNH) were reported. Stratified analyses examined time windows (1-30, 31-91, 92-182 days), age, sex, and race. Results: Of 70,130 eligible patients, 39,948 initiated atorvastatin and 19,182 initiated another new medication. After weighting, baseline covariates were closely balanced. Acute hemorrhagic cerebrovascular disease was confirmed overall (sHR 1.43, 95% CI 1.00-2.04; risk difference 0.5%; NNH 205) and more strongly in the first 30 days (sHR 2.20, 1.35-3.58); the association persisted in Trials 0 and 1 (sHR 1.50, 1.02-2.20). Related early intracranial hemorrhage signals were likewise confirmed. Nonrheumatic and unspecified valve disorders were confirmed in days 92-182 (sHR 1.48-1.58), as was cardiac valve intervention overall (sHR 1.74-1.83). Sprains, strains, and related composites were confirmed among men (sHR 1.66-1.94). General sensation/perception symptoms and dizziness were confirmed among non-White patients (sHR 1.40-1.43) but only in the unrestricted trial set. Acute hepatic failure was confirmed overall (sHR 1.61-1.72), and biliary tract disease among women (sHR 1.45-1.49). For every confirmed association the proportion of bias-adjusted draws remaining above the null was 1.00. Multiple prior signals, including prediabetes and acute posthemorrhagic anemia, failed the dual confirmation criteria. Conclusions: Sequential target-trial emulations with refined outcome definitions, within-outcome multiplicity control, restriction to optimally balanced early trials, and probabilistic quantitative bias analysis confirmed several ADE signals associated with atorvastatin initiation in older adults--most notably early hemorrhagic cerebrovascular events, cardiac valve disorders and interventions, musculoskeletal injuries in men, and selected hepatobiliary events--while attenuating others. Absolute excess risks were modest yet clinically relevant in a high-risk post-infarction population. These findings support a two-stage active pharmacovigilance paradigm (signal detection followed by rigorous confirmation) and justify heightened clinical vigilance for the confirmed events, while underscoring the need for external validation in independent populations and data sources.

Background: Adults aged [&ge;]75 years represent a rapidly growing population at risk of acute myocardial infarction (AMI), yet they remain markedly underrepresented in statin trials for primary prevention. The limited evidence base, together with multimorbidity, functional heterogeneity, and competing mortality risks, has contributed to uncertainty regarding the potential role of statins in very old adults. This study evaluated the association between baseline statin exposure and incident AMI among community-dwelling adults aged [&ge;]75 years without prior cardiovascular disease. Methods: We conducted a retrospective population-based cohort study using linked primary-care, hospital, laboratory, and pharmacy dispensing data from the Community of Madrid. Statin exposure was ascertained during a 24-month exposure-assessment period from 1 January 2018 to 31 December 2019 and classified at a landmark date of 1 January 2020, when outcome follow-up began. Participants were classified as exposed if they had received at least two statin dispensations during the exposure-assessment period and had no record of prior lipid-lowering therapy before 2018. Individuals with prior cardiovascular disease, type 1 diabetes, cancer, dementia, or advanced chronic kidney disease were excluded. Missing data were addressed using multiple imputation. The association between baseline statin exposure and incident AMI was estimated using multivariable Cox proportional hazards regression. Propensity-score matching and Fine-Gray competing-risk regression, with all-cause mortality as the competing event, were performed as sensitivity analyses. Results: Among 174,014 individuals included in the final cohort, 32,698 (18.8%) met the criteria for baseline statin exposure. The mean age was 82.5 years. During a median follow-up of 5 years, AMI occurred in 533 (1.63%) statin-exposed individuals and 2722 (1.93%) non-exposed individuals (p=0.0003). The observed absolute risk difference was 0.30 percentage points (95% CI, 0.14-0.45), corresponding to an estimated observational number needed to treat of 338 over 5 years (95% CI, 222-708). In the fully adjusted Cox model, baseline statin exposure was associated with a lower risk of incident AMI (HR, 0.805; 95% CI, 0.731-0.887). In the full-cohort Fine-Gray model accounting for competing mortality, baseline statin exposure remained associated with a lower cumulative incidence of AMI (sHR, 0.823; 95% CI, 0.748-0.905). After propensity-score matching, the association remained in the competing-risk analysis (subdistribution HR, 0.852; 95% CI, 0.738-0.983). Conclusions: In this large population-based cohort of adults aged [&ge;]75 years without prior cardiovascular disease, baseline statin exposure was associated with a lower incidence of AMI across several analytical approaches. The observed absolute risk difference was modest, and the findings should be interpreted in light of the observational design, residual confounding, and the potential for selection related to survival to the landmark date. Further randomized evidence is needed to determine whether this association reflects a causal effect of statin therapy in very old adults. Keywords: Statins; primary prevention; acute myocardial infarction; aged [&ge;]75 years; landmark analysis; competing risks; propensity-score matching; real-world data.

Importance: The ASPREE randomized trial found no overall benefit of low-dose aspirin for disability-free survival among older adults. However, individual estimates in pre-specified subgroups indicated potential benefit among racial and ethnic minoritized participants in the United States (US). Objective: To evaluate whether the effect of low-dose aspirin vs placebo on disability-free survival differed across US Black and Hispanic ASPREE participants using individualized treatment-effect estimation. Design, Setting, and Participants: Post hoc clinical trial analysis of ASPREE, a randomized, double-blind, placebo-controlled clinical trial of daily low-dose aspirin vs placebo. This analysis included US ASPREE participants who self-identified as non-Hispanic Black or Hispanic, were aged 65 years or older, and had complete baseline predictor and outcome data. Interventions: Randomization to daily 100-mg aspirin or placebo. Main Outcomes and Measures: The primary outcome was loss of disability-free survival, defined as death, persistent physical disability, or dementia. Individualized treatment effects were estimated post hoc using a Random Survival Forest X-learner. Heterogeneity was evaluated on the relative scale with Cox proportional hazards models and on the absolute scale with 5-year risk differences. Results: Among 2411 US ASPREE participants, 1270 were included in the Black and Hispanic analytic cohort (897 non-Hispanic Black and 373 Hispanic participants; mean age, 71.8 years). Aspirin was associated with lower risk of disability-free survival loss compared with placebo (hazard ratio [HR], 0.65; 95% CI, 0.45-0.93). In model-derived tertiles, aspirin was associated with lower risk in the greatest predicted-benefit group (HR, 0.36; 95% CI, 0.19-0.71; 5-year absolute risk difference [ARD], -11.1 percentage points; 95% CI, -22.0 to -0.1) but not in the lowest predicted-benefit group (HR, 1.26; 95% CI, 0.70-2.27; ARD, +3.9 percentage points; 95% CI, -5.9 to 13.6). Conclusions and Relevance: In these analyses of US Black and Hispanic ASPREE participants, aspirin effects on disability-free survival appear to be heterogeneous, with benefit concentrated in a subset of participants. Because these findings are from post-hoc models, they should be externally validated before being incorporated into clinical decision-making. Trial Registration: ClinicalTrials.gov Identifier: NCT01038583; https://clinicaltrials.gov/study/NCT01038583

Background: Respiratory syncytial virus (RSV) remains a leading cause of hospitalization in infancy, with severe outcomes influenced by both contact patterns and passive immunity. Non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic suppressed RSV circulation and reduced opportunities for maternal immune boosting, potentially altering protection among newborns. We evaluated whether incorporating time-varying maternal immunity improves the ability of an age-structured transmission model to predict post-pandemic RSV hospitalization patterns in infants. Methods: We analyzed population-based RSV hospitalizations among Ontario (Canada) infants (<1 year) from July 2, 2017 to June 25, 2024, using linked administrative databases. A deterministic compartmental model across seven age classes was calibrated against pre-pandemic data using Latin Hypercube Sampling. We compared a model incorporating time-varying contact rates alone against a specification that additionally included time-varying maternal immunity. Results: Both specifications accurately reproduced pre-pandemic seasonality and macro-level post-pandemic resurgence features. The constant maternal immunity model showed slightly better accuracy in capturing the 2021/22 peak compared to the time-varying maternal immunity specification. However, both qualitatively captured the continued near-absence of RSV and the observed peak was captured within the 95% credible intervals. While both models precisely captured the timing and overwhelming surge of admissions that occurred in 2022/23, they failed to capture the premature peak timing and magnitude in 2023/24. Conclusions: Incorporating time-varying maternal immunity did not improve model accuracy post-pandemic. While maternal protection is essential for evaluating infant immunizations, population-level contact shifts primarily shaped post-pandemic RSV seasonality, indicating that models must account for these mechanisms of RSV transmission dynamics.

Context: Most individuals in the United States have commercial health insurance, yet costs for tuberculosis (TB) care have focused on the public sector. Objective: To quantify 12 month all cause healthcare costs and identify predictors of expenditure among commercially insured persons with TB disease in the United States. Design/Setting: Retrospective cohort study using Merative (TM) MarketScan (R) Commercial Claims Database (2013 to 2018). Participants: Adults 18 years old with TB disease Main Outcome Measure: Total 12 month all cause healthcare costs (outpatient, inpatient, pharmacy) were calculated from the date of diagnosis. Adjusted cost ratios (aCR) were estimated using a Gamma generalized linear model. Results: We included 303 individuals diagnosed with TB disease, median age 46 years, 158 (52%) male, 16 (5%) with HIV, 12 (4%) with hepatitis B (HBV), and 13 (4%) with a drug use disorder. Mean total 12-month costs were $32,404 (median $8,075; SD $78,829). Median 12-month costs were substantially higher among persons with any comorbidity (HIV, HBV, hepatitis C (HCV), alcohol use disorder, drug use disorder, or Charlson score >0) compared to those without ($11,930 [IQR $4,194 to $36,073] vs $3,385 [IQR $1,506 to $8,609]; p<0.001). HIV coinfection and drug use disorder were the strongest independent predictors. HIV coinfection was associated with 4.7 fold higher costs (aCR 4.70, p<.001), driven predominantly by pharmacy expenditure (aCR 16.4). Drug use disorder was associated with 3.2 fold higher costs (aCR 2.62, p=.03). Comorbidity burden was a continuous independent predictor (aCR 1.36 per Charlson point, p<.001). Conclusions: Healthcare costs are high among persons with TB who have commercial insurance, and are further increased with comorbidities including HIV coinfection and drug use disorder. Improved screening, care coordination and management of TB and high risk comorbidities could yield significant cost savings.

Background: The dietary approaches to stop hypertension (DASH) diet is often recommended to patients with chronic kidney disease, although evidence regarding its efficacy in this population is limited. Our study tested the hypothesis that increased adherence to the dietary approaches to stop hypertension (DASH) diet score would be associated with longer time to kidney function decline among Veterans. Methods: We conducted a retrospective cohort study of 251,921 Veterans enrolled in the Million Veteran Program (MVP). The DASH diet score was calculated from the food frequency questionnaire and categorized into tertiles. The primary outcome was a composite of: Kidney event or death, where a kidney event was defined as a sustained 40% decline in estimated glomerular filtration rate (eGFR) or end-stage kidney disease (ESKD). Cox regression models compared the hazard for both outcomes by DASH score tertiles. We examined modification by ancestry, sex and other clinical characteristics Results: The median age was 67 years and 90% of Veterans were men. There were 59,269 (23.5%) who experienced the primary composite outcome, during the maximum follow-up of 10 years (median 6.1 years). Crude incidence rates for the kidney event and death outcome were 43.3, 40.4, and 36.8 per 1000 person-years of DASH score by tertiles. DASH score was associated with a lower hazard ratio (HR) for the primary composite outcome; third vs first tertile 0.81 (95% Confidence Interval (CI) 0.80 - 0.83) and second vs first tertile HR 0.90 [95% CI 0.88 - 0.92]. In subgroup analysis for individuals of African ancestry, Admixed American, and Females, only the third tertile of the DASH score was associated with a statistically significant reduction in composite outcome. Conclusion: Beneficial associations of the DASH diet were observed across subgroups. Future research is needed to understand gene and environmental factors that influence the observed subgroup differences

Introduction: Shared medical appointments (SMAs) are medical visits where multiple individuals are seen together in a group setting. For patients with inherited cardiovascular disease, where multiple family members often require ongoing cardiac care and screening, family SMAs may be particularly valuable as a tool to facilitate family communication and comprehension of their condition. This research aimed to identify patient perspectives on the potential benefits and challenges of family SMAs in comparison to an existing individual clinic model. Methods: Qualitative semi-structured interviews were conducted with adult family representatives. Each family had at least one family member seen at the adult and pediatric inherited cardiovascular disease clinics. Interview recordings were transcribed verbatim and inductively coded using a content analysis approach. Results: Sixteen families were interviewed in this study. The mean age of the family representative interviewed was 43.4 years ({+/-} 9.3 SD), and they were followed at Stanford Health Care for a mean of 7.3 years ({+/-} 4.2 SD). 81.2% (13/16) of families said they would find family SMAs beneficial. For interested families who consented to recorded interviews (n=12), benefits and challenges fell into two major categories: care quality and access and logistics. Interested families thought family SMAs would provide an added care quality benefit by increasing understanding among adults, children, and providers (83.3%, 10/12). Six of twelve participants interested in having family SMA visits felt there would be logistical/access-based benefits to this new model (50%, 6/12). Families also identified possible challenges with this model, such as less individualized care, potential privacy concerns, and concerns regarding the smoothness of the clinic process in coordinating a family SMA. Conclusion: The majority of families believed a family SMA model would provide added benefit to families with inherited cardiovascular disease, but requires thoughtful implementation and should be tailored to families? unique needs.

The U.S. House's approval of the Sunshine Protection Act has revived the debate over permanent daylight saving time (DST) versus permanent standard time (ST). Health and sleep organizations favor permanent ST because it benefits health, especially for children with rigid school schedules. Further, permanent DST would push school start times to before sunrise in many regions, leading to dark-morning commutes. However, the safety consequences of this shift remain unquantified. Using real school start times for 14 states that have enacted permanent DST legislation, together with local sunrise time, we counted the school days on which students must leave home before sunrise under permanent ST, the current system, and permanent DST. In Washington State, where schools start on average at 08:27, neither permanent ST nor the current system requires any pre-sunrise departure, whereas permanent DST would for most of the winter. Using real school start-time data, permanent DST would add about 35 million child-days of pre-sunrise travel in Washington alone relative to the current system, with similar patterns across the other 13 states. Extrapolated to all U.S. public schools and assuming an 8:00 departure, permanent DST would generate more than 2 billion additional dark-morning commutes each year relative to the current system. Finally, analyzing Seattle traffic collisions, we found that the odds that a crash involved a pedestrian were 143% higher on dark mornings (adjusted odds ratio 2.4). Permanent DST would therefore expose many more children, on many more days, to elevated pedestrian-crash risk, evidence that deserves consideration as the United States chooses a time standard.

White-barked birches extend to the northern limit of tree growth, and their bark is known to reduce solar damage during winter and early-spring by limiting solar heating and the incidence of harmful freeze-thaw events. The physical basis for this protection, however, has remained unclear. Here, we show that extracted betulin, the dominant triterpenoid responsible for the bark's whiteness, and Himalayan birch bark, both exhibit passive radiative cooling. Under low solar irradiance, bark and betulin-pellets reach temperatures below that of a shaded reference, and pellets cool more than bark. The cooling arises from high solar reflectance, which suppresses solar heating, and substantial mid-infrared emission, which drives radiative heat loss toward outer space. These findings help explain how bark-whiteness may contribute to protecting birch trees from solar-induced thermal stress.