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Background The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults. Objective To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults. Methods The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.e., age, sex, education), NPS (i.e., Neuropsychiatric Inventory Questionnaire; Beck Depression and Anxiety Inventories), at least one AD biomarker (i.e., plasma-, neuroimaging- and/or cerebrospinal fluid [CSF]-derived), and at least 2 repeated neuropsychological assessments. We trained and tested ML models using a stepwise feature addition approach to predict decline versus non-decline in global and domain-specific (i.e., memory, language, visuospatial, and attention/executive function) cognitive scores. Results ML models had better performance when NPS were included along with a) neuroimaging biomarkers for predicting decline in global cognition, as well as language and visuospatial skills; b) plasma-derived biomarkers for predicting decline in visuospatial skills; and c) CSF-derived biomarkers for predicting decline in attention/executive function, language, and memory. Conclusions NPS, added to ML models including demographic and AD biomarker data, improves prediction of downward trajectories in global and domain-specific cognitive scores among community-dwelling older adults, albeit effect sizes are small. These preliminary findings need to be confirmed by future cohort studies.

AbstractBackgroundMayo Test DRIVE (MTD): Test Development through Rapid Iteration, Validation and Expansion, is a web‐based multi‐device (smartphone, tablet, personal computer) platform optimized for remote self‐administered cognitive assessment that includes a computer‐adaptive word list memory test (Stricker Learning Span; SLS), a measure of processing speed/executive functioning (Symbols Test) and a score combining both the memory and processing speed/executive functioning measures (MTD Composite). We aimed to determine the reliability of MTD measures across follow‐up sessions.MethodIndividuals participating in this ancillary study who completed at least two and up to four complete MTD sessions were included, resulting in 1,293 participants (mean age = 70.6, SD = 11.6; mean education = 15.6, SD = 2.3; 48.6% male; 96.9% White; 99.1% non‐Hispanic; 97.1% cognitively unimpaired) from parent studies (see Table 1). MTD raw scores were winsorized at 1% and 99% to minimize the impact of outliers. Test‐retest reliability was assessed using single‐rating, absolute‐agreement, and two‐way mixed ICCs and results are described using descriptives from Koo et al. (2016). ICCs for in‐person‐administered traditional neuropsychological measures are also reported alongside MTD for a subset of participants newly enrolled into the MCSA (to ensure participants were test naïve to both MTD and in‐person tests).ResultReliability was good for the MTD Composite raw [total ICC = 0.78; see Table 2 for session‐to‐session ICCs and 95% CIs], and moderate‐to‐good for the primary outcome variables for each subtest [total ICC = 0.74 for both SLS and Symbols]. Weighting by accuracy negatively impacted reliability of Symbols and the Composite; without this weighting, MTD Composite and Symbols variables showed higher reliability (MTD Composite z total ICC = 0.80; Symbols response time total ICC = 0.84; see Table 2). Alternative methods of defining response time on Symbols showed nearly identical reliability values. SLS sum of trials (primary variable) had subtly higher reliability than separate measures of learning (1‐5 correct, max span) or delay. Reliability of remote MTD and in‐person‐administered measures and select comparisons are provided in Table 3.ConclusionMTD showed moderate to good reliability, similar to in‐person‐administered traditional neuropsychological tests. Future work will examine the effect of demographics, device type, and session interference on reliability.

AbstractBackgroundFew normative data for computerized measures administered in unsupervised remote environments are available. We aimed to determine what variables to include in normative models for remote self‐administered assessments, develop normative data for measures administered through Mayo Test Drive (MTD, a multi‐device remote cognitive assessment platform) and evaluate application of norms.Method1240 adults ages 33‐100 (96% White) from the Mayo Clinic Study of Aging and Mayo Alzheimer’s Disease Research Center met normative sample inclusion criteria that included a concordant Cognitively Unimpaired (CU) diagnosis (3 independent raters all diagnosed CU) and CDR = 0 (see Table 1 for sample characteristics). Raw test scores were converted to normalized scaled scores. We derived regression‐based normative data that adjusted for age, age2, sex and education (base model); alternative models are also provided (age+age2+sex; age+ age2). We evaluated whether additional model terms beyond the base model were needed using an a priori cut‐off of 1% variance improvement in adjusted R2 over and above the base model. We examined rates of low test performance defined as performance below ‐1 SD in independent validation samples (n = 167 concordant CU, n = 64 mild cognitive impairment (MCI), n = 14 dementia). Rates are considered significantly different than expected when 95% confidence intervals (CIs) do not include the expected 14.7% base rate frequency.ResultNo additional potential model terms met our a priori cut‐off for inclusion beyond the base model (see Table 2), including other quadratic and cubic terms or interactions, device type, response input type, potential session interference, and national area deprivation index (ADI available in subset; N = 776). Application of norms showed expected rates of low test performance among CU participants (95% CI includes expected base rate) and significantly greater than expected rates of low test performance for all variables in MCI (e.g., 62.5% for composite) and dementia (e.g., 71.4% for composite; see Table 3).ConclusionTypical normative models appear appropriate for remote self‐administered measures and are sensitive to cognitive impairment. Device type and response input did not explain enough variance to warrant inclusion in normative models but are important for individual level interpretation. Future work will improve representation of individuals from under‐represented groups.

AbstractBackgroundFew normative data for computerized measures administered in unsupervised remote environments are available. We aimed to determine what variables to include in normative models for remote self‐administered assessments, develop normative data for measures administered through Mayo Test Drive (MTD, a multi‐device remote cognitive assessment platform) and evaluate application of norms.Method1240 adults ages 33‐100 (96% White) from the Mayo Clinic Study of Aging and Mayo Alzheimer’s Disease Research Center met normative sample inclusion criteria that included a concordant Cognitively Unimpaired (CU) diagnosis (3 independent raters all diagnosed CU) and CDR = 0 (see Table 1 for sample characteristics). Raw test scores were converted to normalized scaled scores. We derived regression‐based normative data that adjusted for age, age2, sex and education (base model); alternative models are also provided (age+age2+sex; age+ age2). We evaluated whether additional model terms beyond the base model were needed using an a priori cut‐off of 1% variance improvement in adjusted R2 over and above the base model. We examined rates of low test performance defined as performance below ‐1 SD in independent validation samples (n = 167 concordant CU, n = 64 mild cognitive impairment (MCI), n = 14 dementia). Rates are considered significantly different than expected when 95% confidence intervals (CIs) do not include the expected 14.7% base rate frequency.ResultNo additional potential model terms met our a priori cut‐off for inclusion beyond the base model (see Table 2), including other quadratic and cubic terms or interactions, device type, response input type, potential session interference, and national area deprivation index (ADI available in subset; N = 776). Application of norms showed expected rates of low test performance among CU participants (95% CI includes expected base rate) and significantly greater than expected rates of low test performance for all variables in MCI (e.g., 62.5% for composite) and dementia (e.g., 71.4% for composite; see Table 3).ConclusionTypical normative models appear appropriate for remote self‐administered measures and are sensitive to cognitive impairment. Device type and response input did not explain enough variance to warrant inclusion in normative models but are important for individual level interpretation. Future work will improve representation of individuals from under‐represented groups.

AbstractBackgroundThe clinical significance of natural and treatment‐emergent antibodies specific for amustaline/glutathione pathogen‐reduced red blood cells (PRRBCs) is not known.Study Design and MethodsA Phase 3, randomized clinical trial of PRRBCs (ReCePI) compared PRRBCs with conventional RBCs in cardiac or thoracic‐aorta surgery. Subjects transfused during and for 7 days after surgery were screened for PRRBC‐specific antibodies at baseline, 28 and 75 days post‐surgery. Subjects with treatment‐emergent antibodies were assessed for evidence of hemolysis. Cryopreserved subject RBC samples were assayed by flow cytometry for circulating PRRBCs using an acridine‐specific (2S197‐2M1) monoclonal antibody, and for human IgG‐coated RBCs. RBC‐surface acridine density was quantitated using a commercial calibrated phycoerythrin (PE)‐bead panel.ResultsFive of 159 (3.1%) PRRBC and zero of 162 conventional RBC recipients developed treatment‐emergent PRRBC‐specific IgG, low titer antibodies detected 26–80 days post‐surgery after exposure to 1–3 PRRBC units, without clinical evidence of hemolysis. DAT and eluate were weak (w+) positive and PRRBC‐specific in one subject. A monocyte monolayer assay (MMA) was non‐reactive in the three subjects with an interpretable result. Flow cytometry demonstrated circulating PRRBCs in all five subjects expressing surface acridine concentrations at the limit of detection (approximately 150–301 PE molecules/RBC) compared with freshly transfused PRRBCs (approximately 7500 PE molecules/RBC). In some samples, loss of surface acridine expression could not be distinguished from clearance of the PRRBCs.DiscussionTreatment‐emergent PRRBC‐specific antibodies with the characteristics of nonclinically significant antibodies were detected in five subjects transfused with PRRBCs. Flow cytometry demonstrated persistent circulating PRRBCs with minimal surface acridine expression. (www.ClinicalTrials.gov Identifier NCT03459287).

Abstract Background Benign breast disease (BBD) increases breast cancer (BC) risk progressively for women diagnosed with nonproliferative change, proliferative disease without atypia (PDWA), and atypical hyperplasia (AH). Leveraging data from 18 704 women in the Mayo BBD Cohort (1967-2013), we evaluated temporal trends in BBD diagnoses and how they have influenced associated BC risk over 4 decades. Methods BC risk trends associated with BBD were evaluated using standardized incidence ratios (SIRs) and age–period–cohort modeling across 4 eras—premammogram (1967-1981), precore needle biopsy (CNB) (1982-1992), transition to CNB (1993-2001), and CNB era (2002-2013). Results With a median follow-up of 15.8 years, 9.9% of women were diagnosed with BC (invasive and/or DCIS). From the premammogram era to the CNB era, we observed a significant increase in BC risk, rising from an SIR of 1.61 to 1.99. The proportion of proliferative BBD diagnoses (PDWA or AH) increased markedly over time (28.1%-49.7%), as did the proportion of DCIS events (11%-28%; χ2 P < .001). Within specific BBD categories, the risk of invasive BC increased modestly. Conclusions Absolute risk of BC within BBD categories remained stable, but the relative risk of BC after BBD increased over time due to notable increases in higher risk BBD lesions, specifically PDWA and AH. These findings illustrate how evolving screening practices have changed the risk profile of BBD and should inform management strategies for patients with BBD in modern clinical settings.

ABSTRACT Introduction Lack of social support negatively impacts medical trainees' wellness. Programmes to educate medical trainees and their support persons (SPs) have been developed to improve resident wellness, but implementation of these programmes at other institutions remains unclear. We aimed to demonstrate the feasibility of implementing the Family Anesthesia Experience (FAX) programme across multiple institutions and to assess the programme's utility. Methods FAX includes didactics on wellness, burnout, substance use disorder and institutional resources; a panel of senior residents and their SPs; and small‐group simulations of airway management, common procedures and a high‐fidelity intraoperative code. We assessed the programme qualitatively using semistructured interviews of 20 first year anaesthesiology residents and 20 SPs. Data analysis was performed via a content analysis approach. Results Twelve anaesthesiology programmes of varying size and geographic locations implemented FAX with minor adaptations. Minimal direct costs were incurred for the virtual programme. Participants enjoyed the event overall. Content analysis showed that FAX improved SPs' understanding of residency and communication between SPs and residents, had minimal impact on SPs' stress, reduced residents' interpersonal stress with SPs and modified perceptions on wellness and burnout. We developed a conceptual model in which we propose SPs' understanding and empathy for their residents would improve through FAX, which may improve communication with and support for residents. Conclusion We demonstrated that FAX can be implemented at varying anaesthesiology residency programmes. Family‐oriented educational events like FAX may be an effective approach to improve SPs' understanding of a resident's role, thereby increasing social support for residents.

Alzheimer’s disease (AD) and Alzheimer’s Related Dementias (ADRD) are projected to affect 50 million people globally in the coming decades. Clinical research suggests that Mild Cognitive Impairment (MCI), a precursor to dementia, offers a critical window of opportunity for lifestyle interventions to delay or prevent the progression of AD/ADRD. Previous research indicates that lifestyle changes, including increased physical exercise, reduced caloric intake, and mentally stimulating activities, can reduce the risk of MCI. Early detection of MCI is challenging due to subtle and often unnoticed cognitive decline and is traditionally monitored through infrequent clinical tests. In this research, the Smart Driving System, a novel, unobtrusive, and economical technology to detect early stages of neurodegenerative diseases, is presented. The system comprises a multi-modal biosensing array (MMS) and AI algorithms, including driving performance and driver’s biometrics, offering insights into a driver’s cognitive function. This publication is the first work reported towards the ultimate goal of developing the Smart Driving Device and App, integrating it into vehicles, and validating its effectiveness in detecting MCI through comprehensive pilot studies.

ObjectiveVagus nerve stimulation (VNS) paired with rehabilitation therapy improved motor status compared to rehabilitation alone in the phase III VNS‐REHAB stroke trial, but treatment response was variable and not associated with any clinical measures acquired at baseline, such as age or side of paresis. We hypothesized that neuroimaging measures would be associated with treatment‐related gains, examining performance of regional injury measures versus global brain health measures in parallel with clinical measures.MethodsBaseline magnetic resonance imaging (MRI) scans in the VNS‐REHAB trial were used to derive regional injury measures (extent of injury to corticospinal tract, the primary regional measure; plus extent of injury to precentral gyrus and postcentral gyrus; lesion volume; and lesion topography) and global brain health measures (degree of white matter hyperintensities, the primary global brain measure; plus volumes of cerebrospinal fluid, cortical gray matter, white matter, each thalamus, and total brain). Eight clinical measures assessed at baseline were also evaluated (treatment group, age, race, gender, paretic side, pre‐stroke dominant hand, time since stroke, and baseline Fugl‐Meyer upper extremity score). Bivariate analyses compared each measure with the primary trial end point (change in Fugl‐Meyer upper extremity score from baseline to end of 6 weeks of treatment) across all subjects, with secondary analyses examining trial groups separately.ResultsMRIs were available from 80 patients (age = 59.8 ± 9.5 years, 29 women). Across all patients, less white matter hyperintensities (r = −0.25, p = 0.028) at baseline was associated with larger Fugl‐Meyer score change. In the VNS group, less white matter hyperintensities (r = −0.37, p = 0.018) and larger ipsilesional thalamus volume (r = 0.33, p = 0.046) were each associated with larger Fugl‐Meyer score change. Analysis of covariance (ANCOVA) analyses tested the interaction that each baseline measure had with treatment group and found that the model examining white matter hyperintensities had a significant interaction term, indicating 2.3 less change in Fugl‐Meyer Upper Extremity (FM‐UE) points in the VNS group relative to the control group for each point increase in modified Fazekas scale.InterpretationNeuroimaging measures are associated with extent of gains on the primary endpoint of a phase III stroke recovery trial. Among the neuroimaging measures examined, a measure of global brain health (extent of white matter hyperintensities) was better at explaining the change in arm impairment as compared with measures of regional injury; this was true when examining all study subjects as well as only those in the VNS group and is consistent with the global mechanism of action that VNS has throughout the cerebrum. Future studies can evaluate additional measures that further predict response to VNS therapy. The current findings suggest that individual patient neuroimaging results may be useful for a personalized medicine approach to stroke recovery therapeutics. ANN NEUROL 2025;97:709–719

Introduction: CARTITUDE-4 is a phase 3 randomized controlled trial (RCT) assessing the efficacy and safety of CARVYKTI (ciltacabtagene autoleucel; cilta-cel) versus pomalidomide, bortezomib and dexamethasone (PVd) or daratumumab, pomalidomide and dexamethasone (DPd) in patients with relapsed and refractory multiple myeloma (RRMM) with one to three prior line(s) of therapy that included an immunomodulatory agent (IMiD) and a proteasome inhibitor (PI), and who are refractory to lenalidomide. Based on the latest reported results from CARTITUDE-4, cilta-cel demonstrated superiority over PVd and DPd on progression-free survival (PFS), overall survival (OS) and response rates (overall response rate [ORR], very good partial response [VGPR] or better, and complete response [CR] or better [CR or better]). In 2023, an initial analysis was performed to compare the efficacy outcomes between all apheresed patients from the cilta-cel arm in CARTITUDE-4 vs doublet (Pd and Kd) and daratumumab-based triplet (DKd and DVd) therapy regimens in the same target population using available patient level data. Data from an updated prespecified data-cut of CARTITUDE-4 with median follow-up of 34 months became available, allowing for an updated assessment of the comparative efficacy, including OS, between cilta-cel and these treatment regimens. Methods: Individual patient data were collected from the CARTITUDE-4 (cilta-cel), CASTOR (DVd), CANDOR (DKd and Kd), and APOLLO (Pd) RCTs, from which patients who met CARTITUDE-4 eligibility criteria were identified. As no patients in the comparative trials had prior treatment with anti-CD38, patients with prior exposure to anti-CD38 therapies in the cilta-cel cohort were excluded. Key prognostic baseline covariates including refractory status, ISS stage, presence of extramedullary disease (EMD), and time to progression on prior line, were adjusted for using inverse probability of treatment weighting (IPTW), with average treatment effect in the treated weights. Differences in baseline characteristics were assessed using standardized mean differences. PFS, OS and response rates (ORR, ≥VGPR and ≥CR) were compared between cilta-cel versus the comparator regimens. Relative efficacy for PFS and OS was estimated with Hazard ratios (HRs) and 95% confidence intervals (CIs) using weighted Cox proportional hazards regression. Response endpoints were analyzed using weighted logistic regression estimating response rate ratios (RRs) and 95% CIs. Sensitivity analyses using alternative statistical approaches and including additional covariates were explored. Results: After the exclusion of 53 patients with prior exposure to an anti-CD38 therapy, 155 patients in the cilta-cel arm remained, and were compared to patients treated with DVd (n=44), DKd (n=98), Kd (n=46) and Pd (n=92) who met the CARTITUDE-4 inclusion criteria. Baseline covariates were well balanced across the cohorts after IPTW. Patients from the cilta-cel arm showed significant improvements in PFS versus all comparators, with adjusted HRs ranging from 0.21 vs DVd to 0.58 vs DKd (all p ≤0.01). Also, OS was significantly longer for cilta-cel versus all other regimens, with adjusted HRs ranging between 0.31 vs Pd to 0.55 vs DKd (all p ≤0.05). While comparative estimates for ORR and VGPR did not change versus the previously reported results, the relative benefit for cilta-cel versus other regimens further increased on deeper levels of response, with adjusted RR for ≥CR from 2.71 vs DKd to 31.47 vs Pd (all p≤0.001). Treatment with DKd consistently yielded the best results out of all comparator regimens but results were still significantly in favor of cilta-cel. Results of cilta-cel benefit were generally consistent across sensitivity analyses. Conclusions: Results from this updated analysis confirm the previously observed significant superiority of PFS and response outcomes of cilta-cel, whilst showing significant OS benefit compared to commonly used treatment regimens for this patient population. These findings provide valuable information to support cilta-cel as a highly effective treatment for RRMM patients who received 1-3 prior lines of therapy, including a PI and IMiD, and who are refractory to lenalidomide, particularly in countries where standard of care may be different from DPd/PVd.