Citations

Abstract Aims Cardiogenic shock (CS) is characterized by impaired left ventricular (LV) mechanical performance and adverse remodelling. We evaluated whether transthoracic echocardiography (TTE)-derived modified cardiac efficiency (mCE), integrating stroke work and residual LV volume, is associated with short- and long-term mortality in CS and whether its prognostic value differs by shock aetiology. Methods and results In this retrospective cohort study, consecutive adults admitted with CS to the cardiac intensive care unit at Mayo Clinic (2007–2018) were included if TTE was performed within 24 h. mCE was calculated as (stroke volume × estimated LV end-systolic pressure) divided by LV end-systolic volume and categorized into quartiles. Primary outcome was in-hospital mortality; secondary outcome was 1-year mortality. Multivariable logistic and Cox models adjusted for illness severity, comorbidity burden, shock aetiology, cardiac arrest, vasoactive therapy, and mechanical circulatory support. Among 667 patients, median mCE was 48 mmHg (IQR 32–74). In-hospital mortality was 28% and increased stepwise across decreasing mCE quartiles. The lowest quartile had a 2.5-fold higher adjusted odds of in-hospital death (OR 2.53; 95%CI: 1.49–4.37; P < 0.001). One-year mortality was 41%; the lowest quartile had a two-fold higher adjusted hazard of death (HR 2.05; 95%CI: 1.45–2.89; P < 0.001). Associations were stronger in acute coronary syndrome-related CS (interaction P = 0.035 for in-hospital; P = 0.015 for 1-year). Within the lowest quartile, reduced systolic pressure further amplified mortality risk. Conclusion Early TTE-derived mCE was independently associated with short- and long-term mortality in CS, particularly in acute coronary syndrome-related CS, and captured the interaction between ventricular remodelling and mechanical performance underlying high-risk phenotypes.

Background/Objectives: Fixed-dose triple therapy is recommended for patients with chronic obstructive pulmonary disease (COPD) at high risk of exacerbations; however, direct comparative effectiveness data between available triple therapy regimens remain limited. We compared real-world clinical outcomes among adults with COPD receiving fluticasone furoate/vilanterol/umeclidinium (FF/VI/UMEC) or budesonide/glycopyrrolate/formoterol (BUD/GLY/FOR). Methods: We conducted a retrospective propensity score-matched cohort study using the TriNetX Research Network. Adults with a spirometrically confirmed diagnosis of COPD who received fluticasone furoate/vilanterol/umeclidinium (FF/VI/UMEC) or budesonide/glycopyrrolate/formoterol (BUD/GLY/FOR) between July 2020 and August 2024 were included in the analysis. A 365-day landmark period was applied to establish maintenance therapy, with outcome follow-up beginning 1 year after treatment initiation. Patients were followed for outcomes through August 2025, the date of database analysis. After 1:1 propensity score matching, treatment groups were compared for COPD exacerbations, acute respiratory failure (ARF), hospitalization, and all-cause mortality using RR and Cox proportional hazards analyses. Results: In matched cohorts, FF/VI/UMEC was associated with a significantly higher risk of COPD exacerbations (5.6% vs. 3.9%; RR 1.44; 95% CI 1.30–1.59; p < 0.001) and ARF (2.5% vs. 1.9%; RR 1.28; 95% CI 1.11–1.46; p < 0.001) compared with BUD/GLY/FOR. Time-to-event analyses demonstrated lower event-free probability for exacerbations (HR 1.35; (95% CI 1.21–1.50) and ARF (HR 1.15; (95% CI 1.00–1.32))). All-cause mortality was numerically higher in the FF/VI/UMEC cohort (5.2% vs. 4.7%; RR 1.09; 95% CI 1.00–1.19; p = 0.050); however, time-to-event analysis did not demonstrate a statistically significant difference. Hospitalization rates were similar between groups. Conclusions: In this large propensity score-matched real-world cohort study, patients receiving BUD/GLY/FOR experienced lower rates of COPD exacerbations and acute respiratory failure than those receiving FF/VI/UMEC. Because of the retrospective observational nature of the analysis, these findings should be considered hypothesis-generating and require confirmation in prospective comparative effectiveness studies.

Abstract Background Breast cancer is etiologically heterogeneous, but which risk factors differ in their associations across tumor subtypes remains unclear. We conducted a large, pooled analysis to evaluate independent, dose-response associations between breast cancer risk factors and quantitative tumor features. Methods Analyses of 15,731 invasive breast cancers from 24 studies evaluated associations (p-trend) between reproductive and hormonal factors, body mass index (BMI), alcohol, smoking, and family history in relation to quantitative immunohistochemistry measures on tissue microarrays (ER, PR, HER2, KI67, TP53) and tumor grade. Analyses in a subset of 10 population-based studies estimated subtype-specific odds ratios (ORs) comparing cases to controls. A Bayesian False Discovery Probability (BFDP) &lt;0.2 was used to identify associations with strong statistical evidence. Results Nulliparity and later age at menopause were associated with higher ER-positivity (p-trend=0.021 and 0.001, respectively), with corresponding OR[ER+] (95% CI) = 1.49 (1.16-1.90) for nulliparous vs. parous and 1.07 (1.03-1.11) per 5 years. Current combined menopausal hormone therapy (MHT) use was associated with lower grade (p-trend&lt;0.001), with OR [grade1] = 3.37 (2.69-4.21) for current vs. never users. Higher BMI was associated with lower ER-positivity and higher grade in premenopausal women (p-trend&lt;0.001 and &lt;0.001), with OR[ER+] = 0.80 (0.74-0.87) and OR[grade1] = 0.75 (0.63-0.88) per 5 units, and with higher PR-positivity and higher grade in postmenopausal women (p-trend&lt;0.001 and &lt;0.001), with OR[PR+] = 1.08 (1.03-1.14) and OR[grade 3] = 1.10 (1.04-1.17) per 5 units. Conclusion This pooled analysis of 15,731 cases showed that nulliparity, age at menopause, MHT, and BMI have independent, dose-response associations with ER, PR, and grade, clarifying patterns of etiologic heterogeneity. Associations with HER2, KI67 and TP53, or other risk factors did not meet our threshold for strong evidence.

Abstract Objective To describe the development and implementation of an automated platform for genomic risk prediction that integrates multiple data types. Materials and methods Using the REDCap infrastructure, we constructed the R4 (Recruitment, Results, and Risk Reduction) platform to intake data from clinical sites, partner laboratories, participant surveys, and electronic health record (EHR) data across 13 institutions. Results The R4 Portal successfully integrated data to generate genome-informed risk assessments (GIRAs) across 11 conditions for a 23 840 person cohort. Testing phases and quality control led to network-wide protocols ensuring consistency and accuracy. Discussion As the science of estimating disease risk evolves, standardized and high-throughput methods of collecting and manipulating complex data are required. Platforms should be open-source, modular, and reusable, ensuring flexibility, security, and integration across healthcare environments. Conclusion The electronic MEdical Records and GEnomics (eMERGE) network successfully generated and returned comprehensive risk profiles using logic and data specific to 11 conditions in a secure and semi-automated fashion employing a customized REDCap database.

Abstract Background and Aims EUS-guided gastroenterostomy (EUS-GE) is an effective option to palliate symptoms of gastric outlet obstruction (GOO). While the jejunum is conventionally targeted (EUS-GJ), targeting the duodenum (EUS-GD) may offer clinical advantages. Outcomes were compared for EUS-GJ and EUS-GD. Methods Adult patients who underwent EUS-GE for GOO between 2020 and 2024 were included and categorized as an EUS-GD if the stent entered the transverse or ascending duodenum or an EUS-GJ if the stent entered more distally. The primary outcome was clinical success (soft diet tolerance at 7 days). Secondary outcomes included adverse events (AEs), stent misdeployment, and unplanned endoscopic reintervention. Baseline demographic variables and outcomes were compared with statistical significance at p < 0.05. Results Of the 139 included patients (median age 67 years (IQR 61–74); 41% female), 105 underwent EUS-GJ and 34 underwent EUS-GD. Clinical success was 98% for EUS-GJ and 94% for EUS-GD (p = 0.25). The misdeployment rate was 7% for EUS-GJ and 0% for EUS-GD (p = 0.19). The AE rate was 22% for EUS-GJ and 12% for EUS-GD (p = 0.23). There were no significant differences for stent obstruction (EUS-GJ 12% vs. EUS-GD 6%), bleeding (2% vs. 6%), perforation (4% vs. 0%), stent migration (1% vs. 0%), infection (3% vs. 0%), and unplanned reintervention (14% vs. 9%). Conclusion Both EUS-GJ and EUS-GD demonstrate high clinical success with no significant differences in adverse event rates. These data can support intraprocedural decision-making for endoscopists performing EUS-GE.

Aims: The primary aim of this study was to determine whether CYP2D6 phenotypes are associated with atomoxetine treatment outcomes in children and adolescents with attention-deficit hyperactivity disorder. Patients and Methods: Patients 21 years and younger with a known CYP2D6 genotype and a prescription for atomoxetine were included in this electronic health record review. The primary outcome was defined as discontinuation of atomoxetine due to a lack of efficacy or due to toxicity. CYP2D6 activity scores were adjusted to account for phenoconversion if patients were concomitantly taking a CYP2D6 inhibitor medication. Results: Of 108 patients that met inclusion criteria, including 13 poor, 30 intermediate, 61 normal, and 4 ultra-rapid CYP2D6 metabolizers after adjusting for phenoconversion. Normal/ultrarapid metabolizers were significantly more likely to discontinue atomoxetine due to lack of efficacy (subdistribution hazard ratio [sHR] = 1.9, p = 0.04), while poor/intermediate metabolizers were significantly more likely to stop due to toxicity (sHR 0.4, p = 0.03). A significant nonlinear effect of adjusted activity score on likelihood of discontinuation due to lack of efficacy ( p < 0.001) or toxicity ( p < 0.001) was identified, where higher CYP2D6 activity scores were associated with more discontinuation due to lack of efficacy and lower activity scores were associated with more discontinuation due to toxicity. When CYP2D6 genotype was available prior to prescribing atomoxetine in intermediate/poor metabolizers, lower median initial doses were observed (0.5 mg/kg/day) compared to those who underwent CYP2D6 genotyping after the initial atomoxetine prescription (0.8 mg/kg/day). Conclusion: Patients with normal or increased CYP2D6 phenotypes may be more likely to discontinue atomoxetine due to a lack of efficacy, while those with reduced function CYP2D6 phenotypes may be more likely to discontinue atomoxetine due to toxicity.

ABSTRACT Key performance indicators (KPIs) are quantifiable measures that describe critical success factors of an organization. Their vital role in ensuring the delivery of quality health care services necessitates the development of KPIs relevant to inpatient clinical pharmacy practice. This opinion paper from the American College of Clinical Pharmacy (ACCP) Clinical Administration Practice and Research Network (CADM PRN) describes the rationale, methodology, and outcomes of a consensus process to identify a focused set of inpatient/acute care clinical pharmacy KPIs. Leveraging a modified Delphi approach, the CADM PRN convened an Expert Panel of clinical pharmacy leader members to build a consensus‐driven set of KPIs reflecting clinical, operational, patient‐centered, and financial contributions of clinical pharmacists in the inpatient/acute care setting. From a previous ACCP White Paper, a total of 15 KPIs were identified across four domains: (1) clinical practice and patient safety, (2) clinical outcomes and readmissions, (3) medication education and patient engagement, and (4) financial and operational value. The CADM PRN posits that the establishment and implementation of standardized KPIs are essential for measuring and demonstrating the value of clinical pharmacy services in modern health care, offers pragmatic, consensus‐based KPIs for evaluating clinical pharmacy services supporting resource justification, and advancing the visibility and impact of pharmacists in acute care practice. As hospitals shift toward value‐based care, robust KPI frameworks will be critical for optimizing patient outcomes, supporting financial sustainability, and justifying appropriate staffing. Future efforts should focus on pilot testing, addressing implementation barriers, and achieving broader acceptance for KPIs across the profession.