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ABSTRACT Background Older adults experience age‐related physiological changes that alter the pharmacokinetics and pharmacodynamics of certain medications, which may necessitate reduced dosing. Our objective was to assess emergency department (ED) and hospital outcomes of older patients administered opioids by emergency medical services (EMS) clinicians. Methods Retrospective cohort study of adults ≥ 65 years who received an opioid between 2019 and 2024 within a health system‐affiliated EMS agency. We excluded patients with an advanced airway and those with no documented weight. Maximum single and cumulative weight‐based opioid dosages were classified as low, therapeutic, or high. Outcomes were measured in the ED/hospital and compared using Poisson regression with Huber/White standard errors, adjusted for age, sex, vitals, Glascow Coma Scale, emergency severity index, and chief concern. Results were reported as adjusted risk ratios (aRRs). Results A total of 6406 patients, including 747 (11.7%, 95% CI: 10.9–12.5) with a high opioid dose, 3663 (57.2%, 95% CI: 56.0–58.4) with a therapeutic dose, and 1996 (31.2%, 95% CI: 30.0–32.3) with a low dose, were included. Receipt of a high maximum single opioid dose versus a low/therapeutic dose (excluding patients receiving a concomitant sedative) was associated with increased risk of altered responsiveness (aRR = 1.28, 95% CI: 1.03–1.58) and delirium (aRR = 2.43, 95% CI: 1.08–5.45) in the ED/hospital setting. When 311 (4.9%) patients who received a concomitant sedative were included, patients who received a high opioid dose similarly had an increased risk of altered responsiveness (aRR = 1.28, 95% CI: 1.06–1.56) and delirium (RR = 2.65, 95% CI: 1.25–5.59), compared to a low/therapeutic dose. There was no difference in outcomes of hypoxia, death within 30 days, or ED length of stay between dose groups. Conclusion Prehospital administration of high opioid doses to older patients was associated with increased rates of altered responsiveness and delirium. These findings highlight how out‐of‐hospital care can impact a patient's ED and hospital course.

Abstract Delirium is a state of acute confusion characterized by deficits in attention that occurs commonly in hospitalized older adults and is associated with adverse outcomes. Delirium may have significant implications for cognitive health, however the relationship of delirium to mild cognitive impairment (MCI) and dementia is not fully understood. To evaluate the impact of delirium on cognitive health trajectories, we leveraged the Mayo Clinic Study of Aging (MCSA), a population-based cohort study of cognitive health and aging in residents of Olmsted County, Minnesota, who are between the ages of 30 and 89 and without a previous diagnosis of dementia at enrollment. Emergency Department and hospital encounters were identified for all patients enrolled in the MCSA, and clinical notes following each encounter up to 30 days were analyzed using a previously validated natural language processing (NLP) algorithm for delirium detection. The association between delirium within 30 days of hospitalization and the development of MCI or dementia was assessed using Cox proportional hazards regression, adjusted for patient age, sex, and level of education. Initial MCSA assessment indicated normal cognition for all individuals in this cohort. We found that delirium was significantly associated with development of MCI and dementia, with 42 individuals experiencing delirium within 30 days of hospitalization; hazard ratio of 10.07 (95% CI 4.14, 24.49) for developing MCI and 19.10 (95% CI 8.40, 43.47) for dementia compared to those without delirium. Our results suggest that hospitalization with an episode of delirium can significantly impact cognitive trajectories in older adults.

Abstract Delirium is a common yet underdiagnosed medical emergency involving acute deficits in cognition and attention. It affects over 20% of hospitalized patients and up to 80% of ICU patients, with increased prevalence in older adults. Delirium is associated with increased mortality, prolonged hospitalization, long-term cognitive decline, and substantial healthcare costs. However, current screening tools are subjective and difficult to implement consistently. Traditional EEGs show diagnostic utility; however, they are costly and require specialized interpretation. We conducted a prospective pilot study evaluating a point-of-care, single-channel EEG device for delirium detection in hospitalized older adults. EEG spectra were utilized to calculate a ‘bispectral EEG’ (BSEEG) score reflecting the ratio of slow to fast brain waves. Twenty-two postoperative patients (mean age 75; 59.09% female) were assessed daily for up to seven days using both the BSEEG and the gold standard 3-Minute Diagnostic Interview for Confusion Assessment Method (3D-CAM). ROC analysis was utilized to determine an optimal threshold BSEEG score to indicate delirium positivity. BSEEG scores were significantly higher in the 3D-CAM-positive group than in the 3D-CAM-negative group (1.60 and 1.45, respectively; p < 0.05). A BSEEG threshold of 1.5 demonstrated 77.78% sensitivity and 56.10% specificity for delirium. In contrast, route clinical screenings (Delirium Triage Screen and Brief CAM) showed 0.00% sensitivity and 96.30% specificity, and failed to detect all true delirium cases. Although further validation in larger cohorts is needed, these findings suggest that the point-of-care single-channel EEG is a promising, non-invasive screening tool for delirium screening, particularly in fast-paced clinical settings.

ABSTRACT The senescent cell (SC) fate is linked to aging, multiple disorders and diseases, and physical dysfunction. Senolytics, agents that selectively eliminate 30%–70% of SCs, act by transiently disabling the senescent cell antiapoptotic pathways (SCAPs), which defend those SCs that are proapoptotic and pro‐inflammatory from their own senescence‐associated secretory phenotype (SASP). Consistent with this, a JAK/STAT inhibitor, Ruxolitinib, which attenuates the pro‐inflammatory SASP of senescent human preadipocytes, caused them to become “senolytic‐resistant”. Administering senolytics to obese mice selectively decreased the abundance of the subset of SCs that is pro‐inflammatory. In cell cultures, the 30%–70% of human senescent preadipocytes or human umbilical vein endothelial cells (HUVECs) that are senolytic‐resistant (to Dasatinib or Quercetin, respectively) had increased p16 INK4a , p21 CIP1 , senescence‐associated β‐galactosidase (SAβgal), γH2AX, and proliferative arrest similarly to the total SC population (comprising senolytic‐sensitive plus‐resistant SCs). However, the SASP of senolytic‐resistant SCs entailed less pro‐inflammatory/apoptotic factor production, induced less inflammation in non‐senescent cells, and was equivalent or richer in growth/fibrotic factors. Senolytic‐resistant SCs released less mitochondrial DNA (mtDNA) and more highly expressed the anti‐inflammatory immune evasion signal, glycoprotein non‐melanoma‐B (GPNMB). Transplanting senolytic‐resistant SCs intraperitoneally into younger mice caused less physical dysfunction than transplanting the total SC population. Because Ruxolitinib attenuates SC release of proapoptotic SASP factors, while pathogen‐associated molecular pattern factors (PAMPs) can amplify the release of these factors rapidly (acting as “senosensitizers”), senolytic‐resistant and senolytic‐sensitive SCs appear to be interconvertible.

Abstract Metabolic diseases, including obesity, Type 2 diabetes (T2D), and metabolic syndrome, are increasingly prevalent worldwide, driven by sedentary lifestyles, aging populations, and complex genetic and environmental factors. Traditionally understood as disorders of glucose and lipid metabolism, a growing body of evidence now implicates cellular senescence as a central, age‐related contributor to metabolic dysfunction. Senescent cells (SCs) accumulate in key metabolic tissues where they disrupt tissue function through the senescence‐associated secretory phenotype (SASP), a pro‐inflammatory and fibrogenic secretome. SASP factors exacerbate insulin resistance, chronic inflammation, and tissue remodeling, advancing the progression and complications of metabolic diseases. These insights have catalyzed the development of senotherapeutics, a class of interventions that includes senolytics (to eliminate SCs), senomorphics (to suppress SASP), and senosensitizers (to render resistant SCs more vulnerable to clearance). Although preclinical studies show promise, translation into clinical practice faces significant challenges, including identifying reliable biomarkers, understanding SC heterogeneity, and optimizing treatment timing and safety. As research advances, senotherapeutics may offer a transformative approach not only to managing metabolic diseases but also to mitigating associated comorbidities. The recognition that antidiabetic agents already in clinical use can modulate key features of senescence highlights a unique translational opportunity, suggesting that prevention of age‐related metabolic disorders may be achievable with therapies already available in routine clinical practice. Medicine is poised to enter a new era in which targeting cellular senescence could fundamentally reshape the prevention and treatment of age‐related metabolic disorders, offering the potential for improved healthspan and reduced disease burden across the lifespan.

Abstract Background Delirium is often underdiagnosed in clinical practice and is not routinely coded for billing. While manual chart review can identify delirium, it is labor-intensive and impractical for large-scale studies. Natural language processing (NLP) can analyze unstructured text in electronic health records (EHRs) to extract meaningful clinical information. Methods To support national integration of NLP for EHR-based delirium identification across different institutions, we launched the Delirium Interest Group within the national Evolve to Next-Gen Accrual to Clinical Trials (ENACT) NLP Working Group. This paper outlines our initial efforts to standardize, evaluate, and translate an NLP-based delirium detection model into the i2b2/ENACT platform. Results Multisite contextual inquiry identified several key challenges, including variations in local screening practices (eg, tools used, documentation frequency, and quality control), the need for harmonized definitions in the context of EHRs, and the complexity of modeling temporal logic. Multisite NLP evaluation revealed variable performance degradation driven by differences in delirium screening practices, clinical documentation patterns and semantics, and note syntactic structures. Conclusion Our work represents an important first step toward enabling scalable and standardized NLP-based delirium detection across institutions. By engaging diverse institutions through the ENACT NLP Working Group, we identified shared challenges and site-specific variations that impact model implementation and performance. Our collaborative approach enabled the development of a more robust framework for delirium identification across heterogeneous EHR systems. Future efforts will build on this foundation to enhance the validity, usability, and translational impact of delirium detection.

Background/objectives: Falls are a leading cause of traumatic injury and hospitalization for adults over the age of 65. While common, bed-related falls are relatively understudied when compared to ambulatory falls. The aim of this study is to characterize the risk factors for the hospitalization of older adults presenting to U.S. emergency departments (EDs) after a fall from bed. Methods: This was a cross-sectional study using publicly available data from the U.S. Consumer Product Safety Commission’s National Electronic Injury Surveillance System (NEISS) from 2014 to 2023, including all adults over the age of 65 presenting to the NEISS’s participating EDs with bed-related fall injuries. We identified fall injuries using a keyword search of the NEISS narratives and determined how the fall occurred by manually reviewing a randomized 3% sample of the narratives. We summarized demographics and injury patterns with descriptive statistics. We constructed a multivariable logistic regression model to identify risk factors for hospitalization and used Poisson regression to assess temporal trends in fall incidence and hospital admissions. Results: An estimated average of 320,751 bed-related fall injuries presented to EDs annually from 2014 to 2023. ED visits increased by 2.85% per year, while hospital admissions rose by 5.67% per year (p < 0.001). The most common injury patterns were superficial injuries (contusions, abrasions, lacerations, avulsions, and punctures) (28.6%), fractures (21.7%), and internal injuries (including concussions) (21.6%). Most of the falls occurred while transitioning into or out of bed (34.4%) or falling out of bed (56.8%). Hospitalization was required in 34.1% of cases and was associated with male sex, medication use at time of injury, and fracture injuries. Conclusions: Bed-related falls and associated hospitalizations are increasing among older adults. ED providers should understand risk factors for hospitalization in these common injuries such as male sex, medication use at time of injury, and high-risk injury patterns. Additionally, prevention efforts should focus on helping older adults remain safely in bed and then assisting with transitions into or out of bed.

ABSTRACT Although animal studies have linked cellular senescence to the pathogenesis and complications of type 2 diabetes mellitus (T2DM), there is a paucity of corroborating data in humans. Thus, we measured a previously validated marker for senescent cell burden in humans, T‐cell expression of p16 mRNA, along with additional biomarkers, to compare the senescence phenotypes of postmenopausal control (lean, N = 37) and T2DM ( N = 27) participants. To control for effects of obesity alone, we included a third group of obese but non‐diabetic women ( N = 29) who were matched for body mass index to the T2DM participants. In addition, given the increase in fracture risk in T2DM despite preserved or even increased bone mineral density, we related these senescence biomarkers in the T2DM participants to skeletal microarchitectural parameters. Relative to the lean participants, T‐cell p16 and p21 Cip1 expression was increased in the T2DM, but not the obese, non‐diabetic participants. Expression of p16 and p21 Cip1 was positively associated with HbA1c and an index of skin advanced glycation end‐products. T2DM was also associated with an increase in a number of SASP factors. Among participants with T2DM, women in the highest tertile for T‐cell expression of p16 had significantly reduced tibial cortical area and thickness as compared to those in the lower two tertiles. Overall, our studies link cellular senescence to metabolic and skeletal alterations in T2DM and point to the need for further studies evaluating the role of cellular senescence in mediating skeletal fragility, as well as potentially other complications in T2DM.

Abstract The aging process is universal, and it is characterized by a progressive deterioration and decrease in physiological function leading to decline on the organismal level. Nevertheless, a number of genetic and nongenetic interventions have been described, which successfully extend healthspan and lifespan in different species. Furthermore, a number of clinical trials have been evaluating the feasibility of different interventions to promote human health. The goal of the annual Biological Sciences Section of the Gerontological Society of America meeting was to share current knowledge of different topics in aging research and provide a vision of the future of aging research. The meeting gathered international experts in diverse areas of aging research including basic biology, demography, and clinical and translational studies. Specific topics included metabolism, inflammaging, epigenetic clocks, frailty, senescence, neuroscience, stem cells, reproductive aging, inter-organelle crosstalk, comparative transcriptomics of longevity, circadian clock, metabolomics, and biodemography.

Abstract Obesity accelerates the onset and progression of age-related conditions. In preclinical models, obesity drives cellular senescence, a cell fate that compromises tissue health and function, in part through a robust and diverse secretome. In humans, components of the secretome have been used as senescence biomarkers that are predictive of age-related disease, disability, and mortality. Here, using biospecimens and clinical data from two large and independent cohorts of older adults, we tested the hypothesis that the circulating concentrations of senescence biomarkers are influenced by body mass index. After adjusting for age, sex, and race, we observed significant increases in activin A, Fas, MDC, PAI1, PARC, TNFR1, and VEGFA, and a significant decrease in RAGE, from normal weight, to overweight, to obesity body mass index categories by linear regression in both cohorts (all p &lt; .05). These results highlight the influence of body mass index on circulating concentrations of senescence biomarkers.