Journal of the American Geriatrics Society

BackgroundMultimorbidity is common among U.S. skilled nursing facilities (SNFs) residents and complicates pharmacologic management, yet real-world evidence on treatment patterns in this population remains limited. This study evaluated medication order rates and identified resident- and facility-level factors among SNF residents with multimorbidity. MethodsRetrospective, observational study using electronic health record (EHR) data from PointClickCares Life Sciences database. Participants were 728,222 residents active in a U.S. SNF on April 30, 2025 with at least one documented diagnosis of hypertension, hyperlipidaemia, type 2 diabetes (T2D), depression, or Alzheimers disease and related dementias (ADRD). The outcome was presence of guideline-recommended medication order for each condition, modelled with modified Poisson regression to estimate adjusted prevalence risk ratios (RRs) and 95% confidence intervals. ResultsMedication order rates were 79% for ADRD, 79.1% for T2D, 87.7% for hypertension, 83.3% for hyperlipidaemia, and 90.8% for depression. Rates varied across comorbidity combinations: ADRD was associated with lower medication order prevalence, while cardiometabolic multimorbidity profiles associated with higher prevalence. Black/African American identity had the lowest likelihoods of a medication order for 3 of 5 conditions (RRs of 0.93 to 0.92), while having hypertension or hyperlipidaemia medication order was associated with higher likelihood of having orders for 3 of remaining 4 conditions (RRs of 1.02 to 1.19). ConclusionsMost SNF residents with multimorbidity had a medication order for common chronic conditions, although important variability and disparities remain. Differences by comorbidity profile and social context underscore the need for targeted strategies supporting equitable, integrated prescribing and person-centred care in SNFs.

Biological aging, the decline in physiological resilience that increases our vulnerability to disease and death as we grow older, can be measured from standard clinical-laboratory panels. Measurement of biological aging from laboratory data embedded in electronic health records (EHRs) could enhance precision healthcare. However, suitability of EHR-embedded laboratory records for this purpose is uncertain. We evaluated feasibility of EHR biological age measurement in a cohort of n=4,313 cardiothoracic-surgery patients at a large US Hospital and tested whether measured biological aging was associated with patient outcomes. Patients who were biologically older prior to surgery more often died or experienced adverse outcomes as compared to those measured to be biologically younger. Postoperative biological-aging trajectories were associated with length of intensive-care-unit (ICU) stays and in-hospital death. EHR laboratory data provide an opportunity for scalable implementation of biological aging measurement within healthcare systems, with potential to enhance patient monitoring and risk stratification.

Objectives: To evaluate change in physical function and probable sarcopenia following a 36-week community multicomponent exercise programme (Vivifrail model) across two consecutive cycles, and to assess the consistency of this change between cohorts. Study design: Quasi-experimental, single-arm, repeated-measures service evaluation. Ninety-two older adults (2025-2026 cohort; mean age 75.9 years, 88.0% women) completed baseline and post-intervention assessments; an independent 2024-2025 cohort (n = 86) was analysed jointly for replication (n = 178). Main outcome measures: Short Physical Performance Battery (SPPB) score (primary); Timed Up and Go (TUG), handgrip strength, 6-metre walk time and Mini-Mental State Examination (MMSE) (secondary); probable sarcopenia (EWGSOP2), SPPB-based frailty category, and a fall-risk indicator computed identically in both cohorts. Results: SPPB improved by a mean of 1.33 points (Cohen's d = 0.96; p < .001), with concordant improvement in all four secondary outcomes (all q < .005). 72.8% reached the substantial minimal clinically important difference. Probable sarcopenia fell from 17.4% to 5.4% (p = .006), and frailty category shifted toward higher functional levels (p < .001). Effect sizes were consistent between cohorts for SPPB, handgrip and 6-metre walk; the Time x Cohort interaction was significant for TUG only. In the pooled sample, elevated fall risk fell from 19.7% to 11.2% (p = .002). Conclusions: A 36-week multicomponent exercise programme was associated with clinically meaningful, reproducible improvement in physical function and a reduction in probable sarcopenia across two independent cohorts. The single-arm design precludes causal inference.

Background Emerging evidence has linked frailty to individual chronic diseases, but whether it predicts a broad disease spectrum and accelerates multimorbidity accumulation over time remains unknown. This study aimed to systematically evaluate the associations of physical frailty with the burden of incident disease across a wide range of chronic conditions, and with the long-term rates of multimorbidity accumulation. Methods In this prospective cohort study of 466,864 UK Biobank participants , frailty status was assessed using the Fried frailty phenotype and categorized as robust, pre-frailty, or frailty. Chronic diseases were defined based on International Classification of Diseases (ICD)-10 codes, and disease patterns were identified using network analysis. Cox proportional hazards models were used to examine the associations of frailty status with incident chronic diseases, and linear mixed models were used to assess the annual rate of chronic disease accumulation. Results During a median follow-up of 13.8 years (IQR: 13.1-14.5), 536 incident chronic diseases across multiple systems were recorded. Physical frailty was associated with a significantly increased risk of 458 incident diseases (Bonferroni-corrected P < 0.05/536). In the overall cohort, compared with robust participants, those with pre-frailty ({beta} = 0.266, 95% confidence interval [CI]: 0.264-0.267) and frailty ({beta} = 0.941, 95% CI: 0.936-0.946) exhibited significantly faster rates of multimorbidity accumulation. This accelerated multimorbidity accumulation was consistently observed across strata of baseline disease burden, including participant with 0 ({beta} = 0.644, 95% CI: 0.635-0.653), 1 ({beta} =0.748, 95% CI: 0.727-0.768), [&ge;] 2 ({beta} =0.940, 95% CI: 0.933-0.947) chronic conditions at baseline. Similar associations were also found across distinct disease patterns, including neurodegenerative, metabolic, and psychiatric patterns. Conclusions Physical frailty predicts a broad range of incident diseases and is associated with accelerated multimorbidity accumulation. Incorporating frailty assessment into prevention strategies may help mitigate the growing burden of multimorbidity.

Background: Cardiovascular (CV) screening is critical for personnel deploying to Antarctica, where geographic isolation and limited medical care make the management of acute cardiovascular events challenging. The utility of contemporary risk prediction tools such as the AHA PREVENT equations in this unique population remains uncertain. Methods: We retrospectively analyzed 154 individuals referred for enhanced CV evaluation before deployment to the U.S. Antarctic Program (USAP). Participants were evaluated across three temporal cohorts (2018-2020, 2021-2023, and 2024-2026). Demographics, CV risk factors, cardiac testing, and deployment clearance outcomes were collected. Risk was estimated using the Framingham Risk Score (FRS), AHA/ACC Pooled Cohort Equations (PCE), and AHA PREVENT risk models. Results: The cohort was predominantly male (79.9%; mean age 44.6 {+/-} 14.6 years), and abnormal ECG was the most common referral trigger (70.8%). Median 10-year risk was low by PREVENT and FRS and borderline elevated by PCE (PREVENT 2.7% [IQR 1.1-6.6], FRS 2.3% [IQR 0.5-7.1], and PCE 6.1% [IQR 2.4-9.2]). Among 72 participants with all scores, 51% were classified discordantly; PREVENT ASCVD agreed closely with FRS (=0.77) but poorly with PCE (=0.24-0.35), which consistently estimated higher risk. PCE was calculable in 52.6% versus 70.8% for PREVENT. Overall, 132 participants (85.7%) were cleared for deployment, while 8 (5.2%) were not physically qualified (NPQ); 6 of these NPQs were due to cardiovascular causes. Of 22 cardiac medical evacuations during the study period, 21 involved individuals without prior advanced cardiovascular screening. One screened individual was evacuated for symptoms subsequently found to have no cardiac cause. Conclusions: Risk calculators disagree substantially in the fitness-selected population. We recommend PREVENT as the primary risk-stratification tool as it is the most contemporary derivation, incorporates renal function, is race-agnostic, extends to heart failure, applies from age 30, and agrees closely with FRS, easing transition. Targeted imaging, including coronary artery calcium scoring, may supplement intermediate-risk candidates.

Objective: To determine whether plasma neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) are elevated in hospitalised patients with delirium relative to patients with dementia and primary psychiatric disorders (PPD). Methods and analysis: This was a cross-sectional observational study conducted at the Royal Melbourne Hospital, Melbourne, Australia, between April and October 2024, with comparator samples from a research biobank. In Phase 1 (Delirium Discovery Cohort), we measured plasma NfL and GFAP using the Single molecule array (Simoa) platform in hospitalised patients with delirium and compared them with dementia and PPD groups. Biomarker concentrations were the primary outcome and were compared using general linear models adjusted for age, sex, and estimated glomerular filtration rate, with bootstrapped confidence intervals. Discriminative performance was assessed as a secondary outcome using receiver operating characteristic (ROC) curve analysis. In Phase 2, we applied this threshold to independent dementia and PPD groups. Results: In Phase 1 (n =176), inpatients with delirium showed higher concentrations of both NfL and GFAP than patients with dementia ({beta} = 0.78; 95% CI [0.37, 1.20] and {beta} = 0.39 [0.07, 0.73] respectively) or PPD groups ({beta} = 1.17; [0.69, 1.66] and {beta} = 0.83 [0.51, 1.24] respectively). ROC curve analysis for differentiating delirium from dementia and PPD groups yielded an optimal NfL threshold of 24.1 pg/mL (AUC = 0.89, 96% sensitivity, 70% specificity). In comparison, GFAP showed lower accuracy (AUC = 0.85), and combining NfL with GFAP (AUC = 0.90) did not significantly improve performance. In Phase 2 (n = 154), the NfL threshold of > 24 pg/ml maintained strong performance (AUC = 0.95, 96% sensitivity, and 77% specificity). Conclusions: Plasma NfL shows promise as a biomarker for delirium in hospitalised patients, distinguishing it with high sensitivity from patients with dementia and PPD. Larger multicentre studies are needed to refine cut-offs, evaluate temporal dynamics, and determine integration into acute hospital delirium pathways.

Background. Coronary CT angiography (CCTA) and calcium scoring detect subclinical coronary atherosclerosis, but the results of community based screening in asymptomatic adults with cardiovascular risk factors are poorly described. Objective. To describe the results of the first phase of a county-funded CT screening program and their variation by demographics, health system, time, and ZIP code. Methods. Retrospective analysis of aggregate reports from the Broward County Florida Heart Project (May 2023 to September 2025). Eligible residents were those with insurance coverage, age 45 to 70 years (limited exceptions), free of known cardiovascular disease and symptoms, with at least one risk factor. Examinations at six hospitals in four health systems were classified by the program team as normal (Category 1), abnormal (Category 2), or very abnormal (Category 3), with a separate flag for other non coronary abnormality. We used Wilson confidence intervals and chi square, trend, and Mantel Haenszel tests. Results. Among 7,135 participants (58.3% men; 79.0% White, 8.0% Black, 17.2% Hispanic), 43.2% had Category 1, 45.4% Category 2, and 11.4% Category 3 results; 56.8% (95% CI, 55.7% to 58.0%) had abnormal or very abnormal results. The proportion rose from 39.3% at 45 to 55 years to 78.5% at 71 or older (trend P<0.001) and was higher in men than women (68.9% vs 39.8%; odds ratio [OR], 3.36; 95% CI, 3.05 to 3.71). Rates were lower in Black than White participants (38.9% vs 58.6%; hospital adjusted OR, 0.45; 95% CI, 0.38 to 0.54) and in Hispanic than non Hispanic participants (51.0% vs 57.8%). Abnormal results ranged from 39.5% to 60.3% across health systems (P<0.001). Variation across the 50 highest volume ZIP codes did not exceed chance (P=0.53). Conclusions. More than half of insured, asymptomatic adults with risk factors screened in this community program had abnormal results, with steep age and sex gradients and unexplained variation across health systems. Black, Hispanic, and female residents were under-represented relative to the county

The COVID-19 pandemic led to significant disruptions in cardiovascular care and reductions in physical activity, but little is known about how exercise patterns changed after this period. This study assessed changes in weekly aerobic and strength training activity between 2020 and 2022 amongst adults aged 18 years or older who reported one or more cardiovascular diseases or risk factors. This study used National Health Interview Survey data from 2020 and 2022. Adjusted differences for moderate-to-vigorous physical activity (MVPA) were calculated using a linear regression model and for strength sessions using a Poisson regression, adjusting for sex and age. Changes in these outcomes were then stratified by age and sex subgroups. The weighted study population included 182,783,008 (standard error, +/-3,334,337) adults in 2020 and 185,388,060 (SE, +/-3,285,161) adults in 2022. Between 2020 and 2022, the overall weekly MVPA increased from 244.2 (SE, +/-4.5) minutes to 266.3 (SE, +/-5.7) minutes (adjusted difference, +22.1 [SE, +/-6.92] minutes). There were no statistically significant changes in the number of strength session per week overall or among sex and age subgroups. Across sex and age subgroups, increases in weekly MVPA were entirely concentrated among males and younger adults. The recovery from pandemic era reductions in aerobic and strength exercise training was uneven amongst demographic subgroups, which aligns with concurrent persistent disruptions in cardiovascular care.

Abstract Background: Respiratory failure (RF) and atrial fibrillation/flutter (AF/AFL) often occur together in older adults, but long-term national mortality trends for the two conditions combined have not been described. We examined trends and disparities in deaths with co-listed RF and AF/AFL among U.S. adults aged 65 years and older from 1999 to 2024, and projected rates through 2035. Methodology: We used the CDC WONDER Multiple Cause of Death database to identify deaths with ICD 10 codes J96 (RF) and I48 (AF/AFL) listed together. Age-adjusted mortality rates (AAMRs) per 100,000 were standardized to the 2000 U.S. population and stratified by sex, race/ethnicity, census region, urbanization, state, and place of death. Joinpoint regression was used to estimate annual percent changes (APCs) and average annual percent changes (AAPCs). Forecasts for 2025 to 2035 were generated with an exponential smoothing (ETS) model. Results: A total of 433,598 deaths were recorded. The overall AAMR rose from 12.8 in 1999 to 66.7 in 2024 (AAPC 8.11%; 95% CI, 7.35 to 8.87; P < 0.0001). Three segments were identified: an increase from 1999 to 2018 (APC 7.73%), a sharp rise from 2018 to 2021 (APC 18.10%), and a decline from 2021 to 2024 (APC -5.25%). Males had a higher AAMR and a steeper increase than females (AAPC 8.44% vs 7.81%). Non-Hispanic White adults had the highest mean AAMR, Hispanic adults had the largest relative increase (AAPC 8.72%), and Non-Hispanic Asian/Pacific Islander adults had the smallest (AAPC 6.23%). The Midwest had the fastest regional growth (AAPC 9.35%). From 1999 to 2020, non-metropolitan areas increased faster than metropolitan areas (AAPC 10.09% vs 8.21%). State AAMRs ranged from 24.7 in Ohio to 85.1 in Louisiana. Most deaths occurred in hospital inpatient settings (64.1%), followed by nursing homes (14.1%) and the home (11.9%). The model projects an AAMR of 122.96 per 100,000 by 2035 (95% prediction interval, 85.42 to 160.50). Conclusions: Mortality involving RF with AF/AFL among older U.S. adults increased more than fivefold over 25 years, with a marked surge during the COVID 19 period and only a partial decline afterward. Differences by sex, race/ethnicity, region, and urbanization point to groups that may benefit from earlier detection and coordinated cardiopulmonary care.

Although physical activity is associated with better physical functioning, the effects of initiating regular physical activity among older adults with persistent inactivity remain unclear. We conducted a sequential target trial emulation using Health and Retirement Study (HRS) data to estimate the effect of physical activity initiation versus noninitiation on incident mobility difficulty. Participants were included in the analysis if they were aged [&ge;]65 years at the previous wave, reported no regular physical activity at the previous two waves, and had no mobility, activities of daily living (ADL), or instrumental activities of daily living (IADL) difficulties at baseline. Stabilized inverse probability of treatment weighting was applied to adjust for measured confounding. Weighted cumulative incidence was then estimated with death treated as a competing event, and risk differences were calculated at approximately 2, 4, and 6 years. At 2 years, the cumulative incidence of mobility difficulty was 32.75% among initiators and 39.73% among noninitiators, with a risk difference of -6.98 percentage points (95% CI, -13.11 to -0.88). At 4 and 6 years, risk differences were -2.90 percentage points (95% CI, -9.77 to 4.29) and -5.44 percentage points (95% CI, -12.27 to 1.99), respectively. Initiating regular moderate or vigorous physical activity was associated with a lower risk of incident mobility difficulty at approximately 2 years among older adults with persistent inactivity. This difference was less evident at later follow-up, and no clear differences were observed for incident ADL or IADL difficulty.

Rural patients with heart failure (HF) have poor access to care, worse outcomes, and may benefit from at-home monitoring. We evaluated whether foot temperature measured using a thermographic floor mat was associated with invasively measured cardiac output and whether longitudinal temperature changes preceded HF events. We conducted a two-part prospective, observational single-center study using the SmartMat (Podimetrics, Somerville, MA), which acquires plantar thermograms and ambient temperature. In the acute study, patients undergoing clinically indicated right heart catheterization completed 4 scans on the same day. In the chronic study, patients with a HF hospitalization in the past year and New York Heart Association Class II-III symptoms were instructed to use the device and a scale daily for 6 months. A HF event was defined as receiving at least one dose of intravenous or subcutaneous diuretic. Thirty patients were enrolled in the acute study. Mean right hallux temperature positively correlated with thermodilution cardiac output (r=0.63, p<0.001). 42 patients were enrolled in the chronic study. Among patients experiencing an HF event, ambient-adjusted hallux temperature declined in the 15 days immediately preceding the event compared with days 15-30 before the event. Plantar thermograms are associated with invasively measured cardiac output and may detect subclinical worsening before HF events. Foot temperature may provide complementary information regarding HF decompensation, supporting further evaluation of plantar thermography for remote HF monitoring.

Background Heart rate fragmentation (HRF) has emerged as a novel marker of sinoatrial instability and neuroautonomic dysregulation and is a predictor of incident cardiovascular disease (CVD) events and cardiovascular mortality. Leveraging heart rate fragmentation as a novel measure may help us better understand the prognostic significance of physical activity. Physical activity (PA) patterns are multidimensional and difficult to study holistically, however. We sought to examine for novel PA clusters in a cohort of veteran men and evaluate their prognostic significance based on their associations with neuroautonomic dysregulation. Methods In this cross-sectional study, we examined 602 male veterans from the Vietnam Era Twins Study of Electrophysiology in Posttraumatic Stress Disorder (VETS-EP) who were enrolled between 2022 and 2026. Accelerometry data were used to derive physical activity parameters across 6 domains: volume, sedentary behavior, intensity, diurnal pattern, fragmentation, and variability. Heart rate fragmentation was assessed using percentage of inflection points (PIP), inverse average length of segments (IALS), percentage of short segments (PSS), and percentage of alternating segments (PAS). Gaussian mixture models were used to derive digital phenotypes of physical activity, and associations with heart rate fragmentation were assessed using linear mixed models. Results Participants had a mean age of 73.8 {+/-} 2.9 years and 93.2% reported White race. Two overlapping phenotypes of physical activity patterns were identified: a compact-early phenotype, characterized by earlier activity timing and slightly greater overall activity, and a diffuse-late phenotype, characterized by later activity timing and greater heterogeneity in activity volume. In fully adjusted models, the diffuse-late phenotype was associated with higher PIP, the primary outcome ({beta}: 1.199, 95% CI: 0.034 to 2.363, p-value: 0.044), and higher IALS ({beta}: 0.01210, 95% CI: 0.00048 to 0.02373, p-value: 0.041), but not PSS or PAS, compared with the compact-early phenotype. Conclusions In older male veterans, Gaussian mixture model phenotyping identified two overlapping physical activity phenotypes, differing mainly in diurnal timing and in the dispersion of overall activity, that were associated with modest differences in heart rate fragmentation. These phenotypes provide a framework for capturing complex physical activity patterns. Future prospective studies representing diverse populations are needed to validate such phenotypes.

Background: The Lung Transplant Frailty Scale (LT-FS) is a validated binary measure of frailty in lung transplant candidates. We aimed to refine the LT-FS Base and Body Composition measures by developing a three-category classification to improve clinical risk stratification with serum albumin as a more clinically practical frailty biomarker. Methods: To develop the refined LT-FS, we applied a 4-step measure development method to a multicenter prospective cohort study of lung transplant candidates. Low albumin (<3.5 g/dL) replaced high serum C-reactive protein ([&ge;]10 mg/L) as the LT-FS biomarker. Cutpoints that balanced discrimination, risk prediction, and calibration were identified to define ''frail'', ''pre-frail'', and ''not frail'' categories. Next, we evaluated associations between the refined LT-FS and exercise capacity, patient-reported outcomes, and mortality using multivariate linear and Cox regression. Results: Among 419 participants, the refined LT-FS identified a graded increase in mortality risk across frailty categories. For example, compared with candidates who were not frail, pre-frailty and frailty by the LT-FS Body Composition were associated with a 2.9-fold (HR 2.9, 95% CI 1.2-6.9) and 7-fold (HR 6.9, 95% CI 2.6-18.2) higher risk of waitlist delisting or death, respectively. Pre-frailty and frailty by LT-FS Body Composition were associated with 2-fold (HR 2.1, 95% CI 1.2-3.8) and 3.6-fold (HR 3.6, 95% CI 1.8-7.3) higher risk of mortality after transplant. Relationships with exercise capacity and patient-reported disability were less consistent. Conclusions: A refined Lung Transplant Frailty Scale incorporating serum albumin demonstrates strong associations with waitlist and post-transplant mortality. The addition of a pre-frail category better captures the continuum of frailty and improves clinical risk stratification of lung transplant candidates.

IntroductionCirculating proteins may augment prognostic scores and provide mechanistic insights for cardiovascular disease. Their role for adding precision to predicting response to therapeutic exercise training is less certain. Older adults with HF frequently experience geriatric syndromes, which may influence response to a rehabilitation intervention (RI). We sought to determine if the functional benefits of a 12-week tailored, structured, and progressive multidomain physical RI program in older adults, following a HF admission, could be estimated by pre-intervention levels of proteins. MethodsHospitalized adults age [&ge;] 60 years with HF were randomized to 12-week multidimensional (aerobic, strength, balance, flexibility) physical therapist-led RI versus attention control (AC). Outcomes included change in the short physical performance battery (SPPB) and 6-minute walk distance (6MWD). At pre-intervention and 12-weeks, 92 circulating proteins associated with CVD and inflammation were measured. Using linear regression, LASSO and ensemble tree-based approaches for flexible feature selection, proteins were selected for stratification of treatment response. Decision trees were developed to incorporate a multi-protein approach to optimize stratification of treatment response (effect measure modifiers [EMM]) for both functional outcomes. Differences in 12-week temporal changes based on RI vs AC and mediation analysis were used to assess possible causal roles for these proteins. ResultsBaseline proteomic data was available in 243/349 participants (69.6%). For SPPB, 2 proteins (GP6, ST2), and for 6MWD, 3 proteins (ALCAM, Gal-4, PECAM-1) were selected as EMMs. For SPPB, a decision tree with ST2 followed by GP6 level identified a differential 12-week improvement in score for RI vs AC from -0.8 (95%CI -1.9, 0.2) to 2.1 (95%CI 1.5, 2.7). For 6MWD, the optimized decision tree was based only on ALCAM with a differential 12-week improvement in score for RI vs AC from 10m (95%CI -17m, 36m) to 85m (95%CI 56m, 113m). However, none of the EMM proteins were mediators of change for the functional outcomes. ConclusionsCirculating proteins related to CVD and inflammation (GP6, ST2, ALCAM) stratify a successful functional response to the REHAB-HF rehabilitation program in older adults following HF hospitalization. Further investigation is needed to identify proteins associated with a causal role for rehabilitation benefits.

Background: Myocardial infarction (MI) and heart failure (HF) impose a physical and emotional toll that has not been measured nationally with a standard instrument. Methods: We pooled the 2019 to 2024 Medical Expenditure Panel Survey into 4 mutually exclusive groups of adults aged 18 and older: MI without HF, HF without MI, both conditions, and neither condition. Quality of life was assessed with the Veterans RAND 12-item component summaries, T scores (mean 50, SD 10) on which higher is better and 3 points is minimally important. Survey-weighted linear regression adjusted for demographics, socioeconomic factors, and comorbidity. Results: Among 79,853 adults representing 253.8 million US adults, 4.2% (3,340) had MI alone, 0.6% (480) HF alone, and 0.3% (236) both. Unadjusted physical scores ranged from 33.2 with HF alone to 39.1 with MI alone, versus 50.5 with neither. Adjusted physical scores were lower by 3.84 points (95% CI, 3.20-4.47) with MI alone, 8.32 (95% CI, 7.04-9.61) with HF alone, and 7.74 (95% CI, 5.73-9.76) with both, each beyond the minimally important threshold. Adjusted mental scores were lower by 1.35 points with MI alone, 1.20 with HF alone, and 1.69 with both, all below that threshold. Adults with both conditions did not differ from those with HF alone (0.58 points; 95% CI, -1.76 to 2.92). Emergency visits, inpatient discharges, and expenditure were higher in every cardiac group and highest with both conditions, where annual expenditure reached $37,198 versus $7,845 with neither. Conclusions: Physical quality of life fell steadily across the cardiac groups, with HF rather than prior MI accounting for most of it. The difference in mental quality of life did not persist after adjustment. Utilization and spending were highest with both conditions.

Abstract Background: Heart failure (HF) is a major public health challenge in ageing populations and a leading cause of unplanned hospital readmissions. Biological, social, and economic factors contribute to recurrent hospitalisation, but gaps remain in understanding how these factors interact and patterns of healthcare use following hospitalisation. Methods: We conducted an explanatory sequential mixed-methods study of patients aged ?60 years with an HF hospital admission between 2016 and 2020 who completed the Sax Institute?s 45 and Up Study baseline questionnaire. Data were linked to Admitted Patient Data Collection, Medicare Benefits Schedule, and Pharmaceutical Benefits Scheme data. HF readmission within 30 days of the index admission was the outcome. Cox proportional hazards models estimated crude and adjusted hazard ratios (HRs and adjHRs) with 95% confidence intervals (CIs). Kaplan-Meier curves and log-rank tests compared survival between groups. Time-series plots mapped healthcare interactions over 1 year following the index admission. Results: Among 4,252 patients with HF, 409 were readmitted within 30 days. Significant predictors included age ?80 years (adjHR, 1.30; 95%CI, 1.01?1.67), 1 chronic condition (adjHR, 2.49; 95%CI, 1.41?4.40), ?2 chronic conditions (adjHR, 1.75; 95%CI, 1.04?2.95), and alcohol consumption above national guidelines (adjHR, 1.45; 95%CI, 1.06?1.98). Time-series analysis indicated that participants with readmission had more frequent out-of-hospital health service contact following their initial HF admission than those without readmission. Conclusions: Older age, chronic conditions, and high alcohol intake increased 30-day HF readmission risk. Differences in healthcare use after admission highlight opportunities for targeted and coordinated post-discharge care.

IntroductionUsing an open enrollment process in 2023, California funded 28 emergency departments (EDs) to implement or expand HIV and syphilis screening programs. Californias 2026 state budget now commits an additional $60 million, over six years, to renew support for this screening. How renewed funds are allocated will determine which communities they reach. This analysis establishes a framework derived from public information to simulate and compare several funding strategies, highlighting the tradeoffs across disease burden, geographic reach, and social vulnerability. MethodsPublicly available data were used to construct ED-level profiles for the 282 EDs in the 35 California counties with populations exceeding 100,000. Profiles were then linked to corresponding HIV and syphilis burden (z-score), measures of social vulnerability for the surrounding service area , and socioeconomic and demographic characteristics of the population each ED serves. At a 28 ED award scale, allocation strategies (random selection, prior 2023 awardees, federal priority-county targeting, ranking on burden alone, and a composite of burden, vulnerability, and visit volume) were then compared, simulating ED participation across 100,000 Monte Carlo draws at 70% participation. Sensitivity analyses included varied (50% and 90%) participation and a larger (n=64) ED award scale. Analyses were conducted in 2026. ResultsNo single strategy performed best. Ranking on burden alone reached the highest mean county burden but only 4 of 35 counties, whereas a composite approach reached 8 counties, the highest social vulnerability, and the largest share of patients who identified as Hispanic. Every targeted strategy performed better than both random selection and the prior 2023 awardees on burden but reached fewer counties than either. In sensitivity analyses, the tradeoffs between burden and reach persisted across participation rates and at the 64-ED scale.

Purpose Delirium affects around 40% of intensive care unit (ICU) patients and adversely affects survival, length of stay, and cognitive recovery. Despite this, implementation of systematic clinical delirium assessments is variable. We sought to validate a point-of-care electroencephalography (EEG)-based system (Ceribell, Inc.) for the detection of delirium in the ICU. Methods In this multicenter, prospective cohort study, we monitored adult ICU patients with the Ceribell EEG system for 6-8 hours for a minimum of three days. Up to three times per day, expert clinicians assessed participants for delirium and research coordinators completed Confusion Assessment Method for the ICU (CAM-ICU) assessments, which we used to calculate CAM-ICU-7 severity scores. We compared expert clinician diagnoses with Ceribell EEG algorithm output using data from 30-minute periods surrounding each clinician assessment. Results Among 225 participants analyzed (median age: 64 years, 60% male, 21% mechanically ventilated), expert clinicians performed 857 assessments and found 24% of participants were delirious during at least one assessment. The Ceribell EEG system detected delirium with a sensitivity of 81% (95% CI: 76% to 87%) and specificity of 81% (95% CI: 78% to 84%). The continuous Ceribell EEG system score correlated with CAM-ICU-7 delirium severity scores (bootstrapped median rho 0.58, IQR: 0.54-0.62, p <0.001). Conclusion In a mixed adult ICU population, the Ceribell EEG system identified delirium with good sensitivity and specificity. Its continuous output was associated with delirium severity, highlighting its potential ability to characterize underlying physiological patterns across the clinical delirium spectrum.

Study objectives: Aging is associated with increased sleep complaints and changes in sleep architecture, microstructure and rest-activity rhythms. Meditation-based interventions have shown benefits on subjective sleep quality, but their effects on objective sleep parameters remain largely underexplored. This study investigated the effects of an 18-month meditation intervention on sleep combining subjective (questionnaires) and objective (polysomnography and actigraphy) measures in older adults. Methods: A total of 120 cognitively unimpaired older adults ([&ge;]65 y) with minimal sleep complaint completed questionnaires, one week of actigraphy and in-home polysomnography at baseline, and again 18 months later. Following the baseline visit, participants were randomly assigned to one of 3 groups: meditation training, non-native language training (active control), or passive control. Group-by-visit interactions were examined using mixed-effects models for sleep questionnaires, actigraphy-derived metrics, sleep architecture and microstructure, including slow waves, spindles, and spectral power. Results: Compared to the passive control group only, meditation training was associated with greater ease of morning awakening (p=0.04). No significant intervention effects were observed for any other sleep parameter, including actigraphy- and polysomnography-derived measures. These findings remained unchanged after adjustment for depressive symptoms and trait anxiety. Conclusion: In cognitively unimpaired older adults, this 18-month meditation intervention yielded only limited improvements in subjective sleep assessment. Meditation may therefore have subtle effects on self-reported sleep quality in this healthy older population, although no effects on objective sleep measures were detected. Future studies should examine whether adapting the content, intensity, or timing of meditation practice and enrolling populations with clinically meaningful sleep disturbances or psychoaffective symptoms may yield greater benefits.

Preoperative anaemia is common in adults undergoing cardiac surgery and may identify patients at increased perioperative risk. This systematic review and meta-analysis synthesised contemporary observational evidence in accordance with PRISMA 2020. Five databases were searched for peer-reviewed English language studies published from 2017 to July 2026. Random effects meta-analyses used restricted maximum likelihood estimation with Hartung-Knapp confidence intervals; crude exact count estimates were synthesised primarily and adjusted estimates separately. Fourteen observational cohort studies involving 74,571 adults, including 17,349 (23.3%) with anaemia, were included. Preoperative anaemia was associated with red cell transfusion (OR, 3.66; 95% CI, 2.14-6.24), acute kidney injury or renal failure (OR, 2.43; 95% CI, 1.84-3.21), early mortality (OR, 2.11; 95% CI, 1.40-3.17), and postoperative infection (OR, 1.49; 95% CI, 1.21-1.82), but not postoperative stroke (OR, 1.16; 95% CI, 0.43-3.17). Certainty was low for renal outcomes and very low for the other outcomes. Preoperative anaemia is an important perioperative risk marker, particularly for transfusion and renal complications, although causality cannot be established.