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Introduction: Patients with transthyretin amyloid cardiomyopathy (ATTR-CM) typically have low serum transthyretin (sTTR) levels, worsening heart failure, and increased mortality. A recent study has shown the association of sTTR levels ≥20mg/dL with reduced risk of all-cause mortality and cardiovascular mortality (CVM). It has also been shown that regardless of baseline sTTR level, greater increases in sTTR levels are associated with greater improvements in cardiovascular outcomes. Acoramidis, a near-complete (≥90%) TTR stabilizer, demonstrated a rapid and sustained increase from baseline in sTTR by Day 28 and reduced risk of cardiovascular outcomes in patients with ATTR-CM. Hypothesis: Acoramidis-mediated early increase in sTTR levels ≥20 mg/dL (lower limit of normal) at Day 28 reduces risks of CVM and cardiovascular-related hospitalizations (CVH) in patients with ATTR-CM. Methods: Analyses were conducted in the ATTRibute-CM modified intention-to-treat (mITT) population (acoramidis: 409; placebo: 202). The sTTR concentrations (normal range is 20-40 mg/dL) were assessed using an immunoturbidimetric method (Abbott ARCHITECT system) in a central laboratory. The proportion of participants with sTTR levels below normal at baseline and Day 28 were determined. The relationship between sTTR levels <20 or ≥20 mg/dL, at Day 28 across the pooled acoramidis and placebo treatment groups, and subsequent risk of CVM and of CVH over 30 months were analyzed using a stratified log-rank test. Results: At baseline about 25% of study participants had sTTR levels below normal in both treatment groups. At Day 28, less than 2% of participants had sTTR levels <20 mg/dL in the acoramidis arm compared with 26% in the placebo arm ( Table 1 ). When acoramidis and placebo treatment groups were pooled based on sTTR levels <20 or ≥20 mg/dL at Day 28, participants with sTTR ≥20 mg/dL were associated with a lower risk of the composite endpoint of CVM or first CVH at Month 30 in comparison with <20 mg/dL ( p <0.0001) ( Figure 1A ). Comparable findings were observed for the individual components (CVM, first CVH) ( Figure 1B and C ). Conclusion: Across treatment groups, sTTR levels above normal range (≥20 mg/dL) at Day 28 were associated with a lower risk of cardiovascular outcomes at Month 30, when compared with sTTR levels below normal range (<20 mg/dL). Thus, these observations demonstrate that higher sTTR levels over time may have the potential for clinical benefits in both CVM and CVH.

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

Background: Patients performing self-triage for chest pain need to pick an algorithm which includes questions pertinent to chest pain to triage accurately. Objective: Our study reviews patient self-triage choices and outcomes for patients who completed an online self-triage encounter before being triaged by a nurse for chest pain. Methods: Patients who underwent telephone nurse triage for chest pain, and also had an online self-triage encounter within the prior 24 hours were reviewed for the frequency with which they chose “chest pain” as their symptom to triage for during self-triage, whether they reported chest pain during the self-triage encounter (if asked as part of the algorithm for their chosen self-triage symptom) and whether the patient had any follow up evaluation within 1 week. Results: There were 70 self-triage and nurse triage dyads during the study period where triage nurses chose “chest pain” as the primary symptom to be triaged for during the telephone triage encounter. Of these, only 5 (7.1%) patients chose the “chest pain” self-triage option during online self-triage. During the self-triage encounter, 50 (71%) reported chest pain, 10 (14%) denied chest pain and 10 chose to self-triage their symptoms with an algorithm that did not include a question on whether chest pain was present. Of the 70 total dyads 59 (84%) had a follow up emergency department (40 patients) or office visit (19 patients) documented. Conclusion: Most patients chosen to be triaged for chest pain by triage nurses did not choose the online self-triage algorithm for chest pain even though the majority did report chest pain during their self-triage encounter (when asked). This is concerning from a safety perspective as a non-chest pain self-triage option chosen by the patient may not always ask about the presence or absence of chest pain and thus could increase the risk of being triaged inaccurately. Implications for improvement of self-triage could include diagrams for patients to choose the symptom area.

Importance An estimated 70% to 80% of older adults develop delirium in the intensive care unit (ICU). Objective To determine if a slow-tempo music (60-80 beats/min) listening intervention decreases delirium duration, delirium severity, pain, or anxiety in older adults undergoing mechanical ventilation. Design, Setting, and Participants This multicenter randomized clinical trial with concealed outcomes assessments was conducted in older adults undergoing mechanical ventilation from February 2020 to December 2023. Patients were enrolled from the ICUs of 2 hospitals affiliated with the Indiana University School of Medicine and from the Mayo Clinic in Rochester, Minnesota. Intervention A music intervention comprising classical and contemporary tracks, delivered twice daily through noise-canceling headphones and tablets for up to 7 days, was compared to active control listening to a silence track delivered under identical conditions. Main Outcomes and Measures The primary outcome was delirium/coma-free days during the 7-day intervention period assessed by the Confusion Assessment Method for the ICU (CAM-ICU) and the Richmond Agitation-Sedation Scale. The secondary outcomes were delirium severity assessed by the CAM-ICU-7, pain assessed by the Critical Care Pain Observation Tool, and anxiety assessed by the visual analog scale for anxiety (VAS-A). Results A total of 158 patients were randomized (mean [SD] age, 68 (9.2) years; 72 [45.5%] female and 86 [54.4%] male). In an intention-to-treat analysis, no differences were found in the number of delirium/coma-free days in the music intervention group compared with control (median [IQR] days, 2.5 [0-5] vs 3 [0-5]; P = .66). There were also no statistically significant differences in the mean CAM-ICU-7 scores, mean pain scores, or mean VAS-A scores over the 7-day intervention period. By end of the 7-day period, both music intervention and control groups had similar mean (SD) CAM-ICU-7 scores (2.72 [2.80] vs 2.56 [2.72]), Critical Care Pain Observation Tool scores (0.20 [0.55] vs 0.61 [1.29]), and VAS-A scores (43.6 [24.7] vs 28.8 [38.4]). Conclusions and Relevance In this randomized clinical trial among older adults undergoing mechanical ventilation, a slow-tempo music intervention did not demonstrate a statistically significant decrease in delirium duration, delirium severity, pain, or anxiety symptoms. Trial Registration ClinicalTrials.gov Identifier: NCT04182334

Purpose Genitourinary syndrome of menopause (GSM) describes the symptoms and physical changes that result from declining estrogen and androgen concentrations in the genitourinary tract during the menopausal transition. This guideline provides information to clinicians regarding identification, diagnosis, counseling, and treatment for patients with GSM to optimize symptom control and quality of life while minimizing adverse events. Methods The systematic review used in the creation of this guideline is based on research conducted by the Minnesota Evidence-based Practice Center (EPC) under contract to the Agency for Healthcare Research and Quality and funded by the Patient Centered Outcomes Research Institute. The EPC synthesized effectiveness and/or harms outcomes from 68 publications. An additional 66 articles evaluating 46 nonhormonal interventions were described in an evidence map. Results Clinicians diagnose GSM based on symptoms, with or without related physical findings, and after ruling out other etiologies or co-occurring pathologies. There is a large body of evidence examining the use of hormonal and nonhormonal treatment options to manage the symptoms of GSM; however, the local low-dose vaginal estrogen has the most robust evidence base. Conclusion The strategies defined in this document were derived from evidence-based and consensus-based processes. Given that there is insufficient information to recommend one hormonal therapy over another, this guideline is not meant to support a stepwise progression through different hormonal approaches. The clinician should make treatment decisions in the context of shared decision-making, considering patient goals and preferences, using the evidence of efficacy and adverse events of each possible intervention as a guide.

Abstract Background Lung adenocarcinoma in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve lung adenocarcinoma risk prediction. Methods PRSs were developed using genome-wide association study summary statistics from East Asian (8002 cases; 20 782 controls) and European (2058 cases; 5575 controls) populations. Single-ancestry models included a PRS with 25 single nucleotide variants (PRS-25), PRS clumping and thresholding (CT), and LDpred2; multi-ancestry models included LDpred2 plus European PRS-128, PRS-CSx, and clumping and thresholding, super learning, empirical Bayes (CT-SLEB). Performance was evaluated in independent East Asian data from the Female Lung Cancer Consortium and externally validated in the Nanjing Lung Cancer Cohort. We assessed predictive accuracy via area under the curve operating procedure (AUC), with 10-year and (ages 30-80 years) absolute risks estimates. Results The best multi-ancestry PRS, using East Asian and European data via CT-SLEB, outperformed the best East Asian-only (LDpred2; AUC = 0.629, 95% confidence interval [CI] = 0.618 to 0.641), achieving an AUC of 0.640 (95% CI = 0.629 to 0.653) and odds ratio of 1.71 (95% CI = 1.61 to 1.82) per standard deviation increase. Nanjing Lung Cancer Cohort validation confirmed robust performance (AUC = 0.649, 95% CI = 0.623 to 0.676). The top 20% PRS group had a 3.92-fold higher lung adenocarcinoma risk than the bottom 20%. Further, the top 5% PRS group reached a 6.69% lifetime absolute risk. Notably, this group reached the average population 10-year lung adenocarcinoma risk at age 50 years (0.42%) by age 41 years, 9 years earlier. Conclusions Multi-ancestry PRS approaches enhance lung adenocarcinoma risk stratification in East Asian never-smokers, with consistent external validation, suggesting future clinical utility.

Abstract Fibrodysplasia ossificans progressiva (FOP) is an ultra-rare genetic condition characterized by congenital malformations of the great toes and progressive heterotopic ossification (HO) in specific anatomic patterns. Present management summarized here is focused on early diagnosis, assiduous avoidance of injury and iatrogenic harm, symptomatic amelioration of painful flare-ups, and optimization of residual function. Twenty-one members of the International Clinical Council on FOP (ICC) and seven consultants from 15 countries, chosen for their clinical expertise in FOP, developed this summary statement. Further advances in therapeutics will be based on rigorous clinical trials to assess novel and emerging treatment and prevention strategies. A detailed and updated exploration of the topics outlined in this brief perspective can be found in “The Medical Management of Fibrodysplasia Ossificans Progressiva: Current Treatment Considerations” which can be found on the International Clinical Council on FOP (ICC) website (www.iccfop.org).

Importance Cardiovascular (CV) disease is the leading cause of death globally for both men and women, yet women remain historically underrepresented in CV clinical trials, despite facing a disproportionately high burden of morbidity and mortality in many forms of CV disease. Objective To determine the representation of women across a broad range of CV trials. Evidence Review The participation of women in CV trials registered on ClinicalTrials.gov from 2017 to 2023 was systematically determined through the extraction of publicly available information. Data were extracted to identify the country of study, disease type, trial size, clinical intervention, and age of the participants. The proportion of women and the ratio of number of female to male participants (F:M ratio) were calculated for each trial. The women’s participation:prevalence ratio (PPR) was estimated for each trial based on the relative prevalence of the disease by sex in the specified region. Findings A total of 1079 registered CV trials were identified, including 1 396 104 participants, of whom 571 641 (41.0%) were women. The F:M ratio was significantly lower for studies on arrhythmia (median [IQR], 0.5), coronary heart disease (median [IQR], 0.39 [0.33-0.70]), acute coronary syndrome (median [IQR], 0.32 [0.24-0.51]), and heart failure (median [IQR], 0.51 [0.32-0.87]) but higher for obesity (median [IQR], 1.44 [1.08-4.50]) and pulmonary hypertension (median [IQR], 2.86 [1.50-3.97]) trials. The F:M ratio was higher for trials on lifestyle interventions (median [IQR], 1.51 [0.77-3.24]) than for drug trials. PPRs were low for clinical trials on coronary heart disease (median [IQR], 0.66 [0.50-0.86]), acute coronary syndrome (median [IQR], 0.79 [0.51-0.87]), and stroke (median [IQR], 0.74 [0.61-0.95]). Representation of women in CV trials varied by disease state, region, intervention, and sponsor type. Conclusions and Relevance These findings highlight both progress and persistent challenges in representation of women within CV trials. These gaps not only limit the generalizability of trial outcomes but also perpetuate inequities in evidence-based care for women with CV conditions.

Abstract The cumulative impact of baseline comorbidities on outcomes of chimeric antigen receptor T-cell (CAR-T) therapy is not well established. Therefore, we developed and validated a Cellular Therapy Comorbidity Index (CT-CI) to predict outcomes following CD19-directed CAR-T therapy for large B-cell lymphoma (LBCL). Patients aged 18 or older receiving commercial CAR-T therapy for LBCL during 2017 to 2020 were selected from the Center for International Blood and Marrow Transplant Research registry. Patients were randomly assigned to training or validation cohorts. Comorbidities given weighted scores comprised the CT-CI, which was then validated for overall survival (OS) prognostication. A total of 1916 patients from 97 medical centers were included, with a median age of 64 years (19-91 years). About 70% of patients had comorbidities, such as cardiac disease (12%); diabetes (14%); hepatic dysfunction (mild, 8%; moderate to severe, 2%); psychiatric disturbance (18%); and pulmonary dysfunction (moderate, 15%; severe, 12%). The CT-CI was calculated, stratified patients in 3 categories, and was associated with increased mortality. Patients with higher CT-CI scores had worse OS (CT-CI 1: hazard ratio [HR], 1.37 [95% confidence interval [CI], 1.16-1.62; P&lt; .001]; CT-CI 2: HR, 1.49 [95% CI, 1.17-1.89; P = .001]; CT-CI ≥ 3: HR, 2.55 [95% CI, 1.90-3.42; P&lt; .001]). Higher CT-CI scores predicted treatment-related mortality and relapse. There was no correlation between the CT-CI score and CAR-T–related toxicities. The novel CT-CI score stratifies the effect of patient comorbidities on survival after CAR-T therapy and can be used for clinical decision-making and treatment selection in high-risk populations. However, comorbidities and fear of increased toxicity should not preclude patients from this effective therapy.

Abstract INTRODUCTION We investigated associations of plasma proteins with blood‐based amyloid/tau/neurodegeneration/inflammation (A/T/N/I) biomarkers for Alzheimer's disease (AD). METHODS Plasma proteomics and clinical data from the Indiana AD Research Center ( N = 498) were used. Association analysis of plasma proteins with blood A/T/N/I biomarkers as well as diagnosis was performed, followed by replication in an independent cohort ( N = 323), network analysis, pathway enrichment, and machine learning classification to identify proteins and pathways related to AD risk. RESULTS We identified 35 proteins associated with AD, 20 of which were replicated in the independent cohort. We identified 150, 448, and 219 proteins associated with T/N/I biomarkers, respectively, revealing biomarker‐specific pathways. Network analysis identified two modules associated with T/N/I biomarkers, preserved in cerebrospinal fluid (CSF), and their enriched pathways. The classification model of proteins effectively differentiated AD (area under the curve [AUC] = 0.930). CONCLUSION Our findings suggest dysregulated plasma proteins and pathways in AD, enhancing our understanding of molecular mechanisms and diagnostic strategies for AD. Highlights Plasma proteins were identified as being associated with Alzheimer's disease (AD) and plasma biomarkers. The identified proteins were replicated in both plasma and cerebrospinal fluid (CSF) proteomics. The identified proteins were associated with AD biomarker‐specific pathways. The identified proteins improved the performance of the AD classification. Protein network analysis identified network modules and their enriched pathways.