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Introduction: Transthyretin (TTR) amyloid cardiomyopathy (ATTR-CM) arises from amyloidogenic aggregates of destabilized TTR protein in variant (ATTRv-CM) or acquired wild-type TTR (ATTRwt-CM). The p.V142I (V122I) variant is the most common pathogenic TTR allele in the USA and has higher mortality vs wild type. Acoramidis, an oral TTR stabilizer achieving ≥90% stabilization, is approved in USA, UK, Europe, and Japan for treating ATTR-CM in adults. In ATTRibute-CM (NCT03860935), acoramidis showed a reduction in all-cause mortality (ACM) or first cardiovascular-related hospitalization (CVH) vs placebo (PBO), with consistent benefit in ATTRwt-CM and ATTRv-CM (all variants). We report clinical outcomes in participants with p.V142I ATTRv-CM. Research Question: What was the efficacy of acoramidis for clinical outcomes (ACM, CVH) in participants with p.V142I ATTRv-CM in ATTRibute-CM? Methods: In ATTRibute-CM, 632 participants were randomized 2:1 to receive acoramidis HCl 800 mg or PBO twice daily for 30 months. All participants enrolled in open-label extension (OLE) received acoramidis only. Exploratory post hoc analyses were done in the p.V142I ATTRv-CM subgroup. Time-to-event analyses used a stratified Cox proportional hazards model using treatment group as an explanatory factor and baseline 6MWD as a covariate, stratified by randomization factors: serum NT-proBNP and eGFR. ACM was analyzed at Month 42 (ATTRibute-CM 30 months + 12 months OLE). Results: Of the 59 patients with ATTRv-CM reported at randomization, 35 (59.3%) had p.V142I (23 acoramidis, 12 PBO) with comparable baseline characteristics; 4 were homozygous for p.V142I (1 acoramidis, 3 PBO). Through Month 30, ACM/first CVH occurred in 43.5% (10/23) of acoramidis vs 83.3% (10/12) in PBO (HR 0.311; 95% CI 0.120–0.805; Figure 1 ). Through Month 42, ACM occurred in 26.1% (6/23) of continuous acoramidis vs 66.7% (8/12) in PBO to acoramidis (HR 0.307; 95% CI 0.097–0.973; Figure 2 ). Conclusions: In participants with p.V142I ATTRv-CM, acoramidis use was associated with 69% risk reduction in ACM/first CVH through Month 30 and ACM through Month 42 vs PBO. This is the first report of clinical benefit of this magnitude observed in this high-risk population. These findings have biologic plausibility and may reflect the near-complete stabilization observed experimentally with acoramidis in p.V142I ATTR fibrils. These observations require confirmation in larger cohort studies.

Background: Digital health offers a potential solution to support adults with congenital heart disease (CHD), filling the critical gap to help maintain recommended lifelong care with adult CHD specialists. However, its design and implementation require a rigorous scientific approach to make it scalable and usable for the target population. Objective: To pilot test the acceptability and feasibility of a digital health intervention to support lifelong healthcare for adults with CHD. Methods: Using a community-based participatory research and a behavioral theory-based approach, we developed and piloted a digital tool, Empower My Congenital Heart (EmpowerMyCH), within the web—and mobile-based Eureka Digital Research platform at UCSF. Intervention components within EmpowerMyCH include exhibits (expert and peer-developed learning modules on CHD-related topics such as finding specialists or navigating visits, tests, procedures, etc.), peer support, and a digital medical passport (Figure 1). Participants receive an exhibit with study measure surveys every two months, with a two-month completion window. Participant satisfaction with the digital tool is measured at six months using the Client Satisfaction Questionnaire-8 (CSQ-8), a validated survey with scores ranging from 8 to 32; higher scores indicate higher satisfaction with the digital tool. Results: Of the 519 participants recruited, 495 were eligible adults with CHD, 445 consented, and 6 withdrew. The median age was 43 (ranging from 20 to 85) years, and 30.1% were males. Survey completion rate was the highest at 88.7% during the first two months after enrollment and 53.5% at 8 months. Of the five exhibits delivered so far, over 87% of participants rated the exhibits to be helpful (Figure 2). Participants found the exhibits readable, easily accessible, motivational, useful, and educational (Figure 3). The median (25th, 75th) CSQ-8 score was 21 (18, 25) among 144 participants who completed the survey. Conclusions: EmpowerMyCH, the digital health tool, appears to be acceptable to most adults with CHD to support and educate them in navigating their healthcare. The tool and its contents are accessible, user-friendly, and responsive to the needs of the CHD community, resulting in high satisfaction rates. The feasibility rates and satisfaction scores are similar to or higher for EmpowerMyCH than those of prior digital health studies. Future hybrid intervention trials can demonstrate EmpowerMyCH‘s effectiveness.

Background: People living with chronic heart conditions often experience poor quality of life (QoL) and reduced well-being; however, the intervention preferences to promote well-being among these individuals are not well known. Purpose: The purpose of this study was to describe QoL and preferences for wellbeing interventions in people with chronic heart conditions and to describe differences by heart condition diagnosis. Method: We conducted a cross-sectional study and recruited participants from a national online support group for people with heart conditions from April 29 to June 3, 2025. We measured QoL (WHO-QOL 28-item) and priorities for interventions via an investigator-developed questionnaire. Descriptive and bivariate analyses were conducted by heart condition. Results: In our preliminary findings among 107 participants [mean age=65.7 years (SD=12.5)], female (53%), White (82%), 67% ≥ 2 heart conditions] most reported being diagnosed with arrhythmias (36%), congenital heart disease (35%), and heart failure (34%), and the fewest reported cardiomyopathy (22%). Participants reported their physical health QoL as the lowest (M = 56.8±12.6), followed by psychological health (M = 62.5±13.1), and social relationships (M = 65.7±19.0). Most participants preferred non-pharmacological wellness interventions (79%) over pharmacological (23%). The highest interest in interventions was for nutrition/weight (80%), exercise (78%), relaxation (78%), mind-body (yoga or tai-chi) (72%), and meditation/mindfulness (69%). Most preferred delivery in-person (64%) or self-guided app/Website (60%). WHO-QOL ratings of Very Satisfied/Satisfied for Health Satisfaction were compared by heart condition (with and without) and were lower for two conditions: cardiomyopathy, (35% vs 63% p=0.015) and arrhythmias (44% vs 65%, p = 0.033). Participants with arrhythmias prioritized social support interventions (74% vs 48%, p = 0.010), while those with cardiomyopathy preferred interventions for depression (70% vs 43%, p = 0.025) (Table 1). Conclusion: We found that people were highly interested in behavioral interventions to promote their well-being. However, preferences for wellness interventions differed by diagnosis. Findings can guide interventions tailored based on condition.

Background: It is currently unknown whether patient engagement in adult congenital heart disease (CHD) care is influenced by social determinants of health (SDOH) such as race/ethnicity, education, and income. Adapting from the chronic care model, patient engagement, defined as the knowledge, skills, ability, and willingness to manage one’s health, can minimize lapses in care and improve CHD care outcomes. Methods: This cross-sectional study analyzes data from patients aged 18 and older with a self-reported diagnosis of CHD enrolled in a digital health research study called Empower My Congenital Heart. Patient engagement was measured using the Gothenburg Empowerment Scale (GES). We compared mean GES scores across demographic categories (race/ethnicity, education, and income), using independent samples t-tests or one-way ANOVA as appropriate. Additionally, we conducted a multivariate linear regression analysis to evaluate the impact of race/ethnicity, education, and income on GES scores, adjusting for age, gender, marital status, parental status, and employment status. Results: Of 323 adult CHD patients, the mean age was 45.6 ±15 years, 32.5% were males, 89.9% were non-Hispanic White, 29.7% had less than a Bachelor's degree, and 43.5% had less than $100,000 annual household income. The mean GES score was 61.8 ± 8, with significantly higher scores observed for non-Hispanic White identifying individuals (p=0.006) and those with a Bachelor's or higher level of education (p=0.005), while no difference across income levels (p = 0.394) (Figure 1). Linear regression analysis demonstrated that race and ethnicity remained significantly associated with GES scores (Table 1). Conclusions: Race/ethnicity and education level (in the bivariate analysis only), but not income, are the SDOH variables significantly associated with how empowered a CHD patient is in managing their health care. Future interventions that target enhancing patient engagement and self-management skills should take into consideration the influence of these demographic and social factors.

Diabetic pregnancy increases the offspring’s risk of neonatal and adult cardiovascular disease (CVD). We previously used a rat model (Sprague–Dawley) to show that diabetic pregnancy impairs mitochondrial bioenergetics, dynamics, mitophagy, and quality control in the offspring’s heart, and we hypothesized that mitochondrial dysfunction during early development influences the adult myocardium structure to confer cardiometabolic disease risk with aging. Here, we used 3D serial block face-scanning electron microscopy (SBF-SEM) to analyze perinuclear (PN) and intrafibrillar (IF) mitochondrial networks in the left ventricular sections from control and pregestational diabetes-exposed newborn (NB) rats that were three-week-old and four-month-old. Diabetes-exposed myocardium had 50% fewer PN and 20% fewer IF mitochondria at birth but counts increased more rapidly, resulting in no difference at three weeks and 35% more PN and 49% more IF mitochondria by four months. Despite rising counts, mitochondria volumes remained significantly lower at every developmental timepoint. This shows that diabetic pregnancy causes maldevelopment of the myocardial mitochondrial reticulum which likely contributes to adult CVD.

Background Immune checkpoint therapies targeting programmed cell death protein 1 (PD-1) and programmed death ligand 1 (PD-L1) have been met with limited clinical responses in the treatment of patients of varying cancer types. Current US Food and Drug Administration (FDA)-approved therapies function to prevent PD-1 binding to PD-L1, thereby preventing T-cell suppression. However, these therapies fail to prevent PD-L1 intrinsic signaling and recycling, which can render these treatments ineffective. Moreover, most research primarily focuses on how these antibodies affect tumor cells and their interactions with T cells. Myeloid cells, which also express PD-L1 and influence T-cell responses, are integral to the efficacy of these therapies. However, strategies that can target these cells to boost antitumor responses have not been effective. Methods Our group has developed a new anti-PD-L1 antibody (H1A), which disrupts PD-L1 recycling and redirects it towards degradation. Due to the loss of available PD-L1 protein, H1A effectively prevents PD-L1 intrinsic signaling. Using in vivo humanized PD-1/PD-L1 mouse tumor models, we evaluated the therapeutic efficacy of H1A against current FDA-approved PD-L1 blocking antibodies. Using human-derived immune cell in vitro assays, we pinpoint the biological consequences of H1A-induced PD-L1 degradation in myeloid cells. Results H1A demonstrated improved tumor control and established immunological memory responses in vivo in the treatment of tumors with moderate immunogenicity that are less responsive to current immunotherapies. This was supported by enhanced activation of myeloid cells (major histocompatibility complex (MHC)-II and CD80) and frequencies of effector T-cell populations found intratumorally. Human myeloid cells treated with H1A were also observed to have increased activation (MHC-II and CD80) and cytokine secretion. Similar to our in vivo findings, human peripheral blood lymphocyte cultures demonstrated increased frequencies of effector T-cell populations and greater tumor cell killing. Conclusions This work highlights the importance of targeting PD-L1 recycling and intrinsic signaling, specifically in myeloid cells, to boost antitumor responses. Our studies suggest that H1A can provide a solution to the lack of responses seen with current therapeutics, while also revealing previously unknown intrinsic functions of PD-L1 in myeloid cells.

Treatment-induced ovarian function loss is a significant concern for many young patients with breast cancer. Accurately predicting this risk is crucial for counselling young patients and informing their fertility-related decision-making. However, current risk prediction models for treatment-related ovarian function loss have limitations. To provide a broader representation of patient cohorts and improve feature selection, we combined retrospective data from six datasets within the FoRECAsT (Infertility after Cancer Predictor) databank, including 2679 pre-menopausal women diagnosed with breast cancer. This combined dataset presented notable missingness, prompting us to employ cross imputation using the k-nearest neighbours (KNN) machine learning (ML) algorithm. Employing Lasso regression, we developed an ML model to forecast the risk of treatment-related amenorrhea as a surrogate marker of ovarian function loss at 12 months after starting chemotherapy. Our model identified 20 variables significantly associated with risk of developing amenorrhea. Internal validation resulted in an area under the receiver operating characteristic curve (AUC) of 0.820 (95% CI: 0.817–0.823), while external validation with another dataset demonstrated an AUC of 0.743 (95% CI: 0.666–0.818). A cutoff of 0.20 was chosen to achieve higher sensitivity in validation, as false negatives—patients incorrectly classified as likely to regain menses—could miss timely opportunities for fertility preservation if desired. At this threshold, internal validation yielded sensitivity and precision rates of 91.3% and 61.7%, respectively, while external validation showed 92.9% and 60.0%. Leveraging ML methodologies, we not only devised a model for personalised risk prediction of amenorrhea, demonstrating substantial enhancements over existing models but also showcased a robust framework for maximally harnessing available data sources.

PURPOSE Lack of race- and age-diversity in clinical trials adversely affects generalizability of trial results and equity of trial access. Research on barriers to representative accrual has focused on patient-level factors. We aimed to define site-level factors affecting the diversity of accrual to a multicenter clinical trial. METHODS Alliance 191901 (GETSET) is a national randomized controlled trial testing interventions to promote breast cancer endocrine therapy adherence, which oversamples Black women and those under age 50 years at 30% thresholds. A secondary study objective is to examine site-level factors associated with accrual of Black and younger participants. At 50% accrual to the parent study, we performed prespecified analyses of association between site characteristics (region, neighborhood racial composition, Alliance membership type, number of recent accruals to cooperative research group trials) and the proportion of Black patients and younger patients accrued. We also examined trajectories of accrual over time for race- and age-specified subgroups. RESULTS The analysis included 124 sites. Among 590 participants, 9.7% were Black, and 22.4% were age <50 years. Neither site type nor historical accrual volume was associated with Black participant recruitment. Southern sites recruited higher proportions of Black participants (19.0% v 7.3% for West, P < .001). Neighborhood racial composition was positively associated with recruitment of Black participants (16.2% at sites from highest Black composition v 1.4% in lowest, P < .01). Recruitment trajectories of Black participants were slower than target rates, whereas those among non-Black participants were faster. CONCLUSION Neighborhood composition and geographic region were predictors of proportions of Black participants accrued to A191901 sites, but site type and historical accrual volume were not. When trials must limit site selection, identifying sites based on neighborhood composition and geography may be an appropriate tool for increasing trial diversity.

Abstract Purpose: Polatuzumab vedotin (polatuzumab) was approved for up-front treatment of diffuse large B-cell lymphoma in combination with chemoimmunotherapy (Pola-R-CHP) based on the POLARIX trial. However, when stratified by cell of origin (COO), polatuzumab seems to have greater efficacy in activated B-cell than germinal center B-cell (GCB) subtype disease. Most studies of polatuzumab used RNA expression to assess COO, whereas in routine clinical practice, the immunohistochemistry-based Hans algorithm is used. Experimental Design: To assess the impact of COO by immunohistochemistry on polatuzumab efficacy, we conducted a multicenter real-world study of adults with large B-cell lymphoma (LBCL) receiving polatuzumab from 2015 to 2024, split by receipt of polatuzumab in first-line versus relapsed/refractory settings. The primary endpoint was overall response rate (ORR) to polatuzumab-based treatment in GCB versus non-GCB relapsed/refractory LBCL. Results: Of 740 patients, 305 received polatuzumab in the first-line setting and 435 in the relapsed/refractory setting. In the relapsed/refractory cohort, the ORR in non-GCB versus GCB LBCL was 59.7% versus 36.3% [OR, 2.6; 95% confidence interval (CI), 1.77–3.84; P &lt; 0.0001], with a complete response rate of 35.7% versus 17.7% (OR, 2.6; 95% CI, 1.66–4.02; P &lt; 0.0001). Progression-free survival was longer for patients with non-GCB versus GCB COO (HR, 0.64; 95% CI, 0.5–0.83; P = 0.0006). In the first-line cohort, ORR, complete response rate, and progression-free survival were similar in non-GCB versus GCB LBCL, as hypothesized based on outcomes in the Pola-R-CHP arm of POLARIX, suggesting that the addition of polatuzumab overcomes the adverse risk of non-GCB COO in patients receiving R-CHOP. Conclusions: Based on these data, COO classification by the Hans algorithm is a strong predictor of polatuzumab efficacy in LBCL, informing real-world treatment decisions.