Citations

AbstractBackgroundSubjective cognitive concerns are common in functionally intact adults, potentially indicating future cognitive decline. Remote smartphone cognitive testing holds promise for objectively tracking cognition in individuals reporting complaints. In our initial exploration of the link between subjective cognitive complaints and digital clinical outcomes, we examined participants' self‐reported cognitive complaints' association with smartphone tests on memory and executive functioning.MethodsParticipants, without self‐reported MCI or dementia, were recruited from the UCSF Brain Healthy Registry (BHR) to complete cognitive tasks on their personal smartphone with the ALLFTD Mobile App. Participants also completed the 12‐item Everyday Cognition Screening Tool (ECog‐12), assessing subjective cognitive impairment, online as part of BHR. Average ECog‐12 scores, including Memory and Executive Functioning subdomains, were calculated. Correlations between scores from online ECog‐12 scores and app‐based smartphone tasks were examined. Regression analyses, adjusting for age, education, and sex, were performed to evaluate the relationship between ECog‐12 and smartphone tasks (Stroop & Flanker) measuring executive function and memory.ResultsOut of 2,283 invited BHR participants, 456 (mean age: 64.6 years (SD = 11.8) and education: 16.3 years (SD = 2.4)) completed smartphone tasks (81.1% completion rate). Age was negatively associated with executive functioning and memory tasks (ß’s = ‐0.51 to ‐0.54, p’s<0.05), while higher education correlated with better performance (ß’s = 0.10‐0.14, p’s<0.05). Sex was not significantly associated with performance on any task (ß’s = ‐0.04 to 0.09, p’s>0.05). Subjective cognitive concerns were linked to tasks of executive functioning (Stroop: ß = ‐0.18, p = 0.002) and memory (ß = ‐0.14, p = 0.02). Endorsement of executive functioning items on ECog‐12 associated with Stroop performance (ß = ‐0.16, p = 0.005), and memory‐specific complaints were related to memory performance (ß = ‐0.1, p = 0.09). The relationship with flanker scores was not significant (ß = ‐0.08, p = 0.17). Similar patterns emerged with the online ECog‐12; online and app‐based scores are strongly correlated (ß = 0.75, p<0.05).ConclusionsIn this cognitively intact sample, subjective cognitive concerns were linked to poorer performance on ALLFTD Mobile App tasks assessing executive functioning and memory. These findings suggest that unsupervised remote smartphone testing merits further consideration to monitor cognition in individuals with subjective cognitive concerns. Subsequent studies in deeply phenotyped cohorts with follow‐up assessments are essential for understanding the clinical relevance of these results.

Therapy dogs have been increasingly incorporated into a variety of medical treatment programs to improve patients’ treatment outcomes and wellbeing. However, research investigating the stress level of therapy dogs in this setting is limited. This is the first randomized–controlled and prospective study that investigated the wellbeing of therapy dogs in an inpatient stroke rehabilitation program. In this study, 14 therapy dog–handler pairs were embedded in an inpatient stroke rehabilitation program to provide animal-assisted treatment (AAT). These therapy dog–handler pairs actively participated in stroke rehabilitation by walking with the patient, playing fetch with the patient, and being petted/brushed by the patient, amongst various other AAT activities. To measure canine stress responses during the rehabilitation sessions, salivary cortisol and oxytocin concentrations, heart rate and heart rate variability, tympanic membrane temperature, and a behavioral evaluation were recorded before and after interactions with the patient. The results demonstrated that therapy dogs had significantly decreased heart rate and increased heart rate variability after the AAT session. Right tympanic temperature significantly increased after the session, but there was no significant difference in terms of salivary cortisol or oxytocin levels, nor in stress-related behavioral evaluations after the AAT session. Taken together, the results suggest that incorporating AAT into an inpatient stroke rehabilitation program did not induce stress in the therapy dogs, and that the therapy dogs may have been more relaxed after the session.

AbstractBackgroundFrontotemporal dementia (FTD) is a diverse spectrum of neurodegenerative disorders impacting the frontal and temporal lobes, primarily manifesting as behavioral and/or language issues. Accurate diagnosis is crucial for effective management, potential treatment, and care planning. While speech analysis has shown promise in detecting cognitive markers of Alzheimer’s disease (AD), its exploration in FTD is limited. This study examined if linguistic features from remote, app‐based speech collection can differentiate healthy controls (HC) from individuals with behavioral variant FTD (bvFTD), the most common FTD variant.MethodParticipants included 15 bvFTD (mean age = 64.3, SD = 9.1 years) and 19 HC (mean = 55.8, SD = 14.2) from the ALLFTD Consortium. Participants were prompted to talk freely about a happy memory; audio recordings were collected with the ALLFTD Mobile App, transcribed using OpenAI’s large Whisper model, and manually quality‐checked. We extracted 98 linguistic features using our in‐house pipeline (Fig 1). Features were selected for classification analysis if they differed between groups based on a MANCOVA adjusted for age, sex/gender, and education, with feature reduction in case of collinearity. We then determined if these features could classify groups using multi‐variable logistic regression models, and subsequently calculated its ROC‐AUC score to measure sensitivity/specificity.ResultBased on the MANCOVA, three features were selected for classification analysis: average seconds of non‐speech (i.e., silence), ratio of number of complex nominal clauses to total clauses, and number of restarts (i.e., disfluency). The logistic model showed that this set could distinguish between groups (Omnibus p = .001; Nagelkerke R2 = .499), and their saved prediction probabilities indicated a ROC‐AUC score of 84.8% accuracy (Fig 2).ConclusionLeveraging a flexible speech capture app with remote accessibility and state‐of‐the‐art automated speech analysis, we identified linguistic features that can distinguish HC from bvFTD. This approach presents a promising screening tool for detecting bvFTD, offering quick, easily administered assessments with the potential for scalable implementation outside of clinical settings. Next steps are to investigate linguistic changes in presymptomatic mutation carriers and compare speech profiles between FTD and AD. These results hold meaningful implications for addressing current challenges in FTD therapeutics, potentially offering sensitive outcome measures for clinical trials and future tools for personalized cognitive assessment and long‐term monitoring.

AbstractBackgroundFrontotemporal dementia (FTD) is a common young‐onset dementia. Challenges to in‐person FTD evaluations (e.g., behavioral symptoms, disease rarity), highlight the need to develop remote, low‐burden assessment techniques. A growing literature supports passive digital phenotyping for monitoring neurobehavioral change. Thus, we examined the utility of passively collected data from smartphones to detect prodromal or symptomatic FTD compared to that of the Montreal Cognitive Assessment (MoCA), a common cognitive screener.Method199 adults enrolled in the ALLFTD Mobile App study (mean age = 53.4 [SD = 15.2]; 58% women) completed up to 6 months of passive smartphone monitoring via the ALLFTD Mobile App. 55% were unimpaired [CDR®+NACC FTLD = 0], 22% had prodromal FTD [CDR®+NACC FTLD = 0.5], and 23% had symptomatic FTD [CDR®+NACC FTLD≥1] with a variety of syndromic presentations. Battery percentage was collected frequently (median interval = 45 min), and total daily battery usage was calculated as a proxy for smartphone use (higher battery usage = more smartphone use). Daily step counts were also passively collected. Logistic regression classified prodromal or symptomatic FTD vs. unimpaired as a function of: MoCA score [Model 1]; 7 passive features characterizing average, inter‐day variability, and changes over time in smartphone use and movement [Model 2]; or passive smartphone features and MoCA [Model 3]. Analyses were repeated excluding participants with symptomatic FTD to detect prodromal FTD vs. unimpaired.ResultThe area under the curves (AUCs) for detecting prodromal or symptomatic FTD (vs. unimpaired) from the MoCA alone [Model 1] and passive smartphone features alone [Model 2] were 0.77 (95%CI: 0.70‐0.85) and 0.77 (95%CI: 0.70‐0.84), respectively. Their combination [Model 3] resulted in a significantly improved AUC of 0.86 (95%CI: 0.80‐0.92) compared to Model 1 (p = 0.001). Significant Model 3 predictors included average daily battery usage (p = 0.02), slopes of change in step count (p = 0.04), and MoCA score (p<0.01). When distinguishing prodromal FTD from unimpaired, passive smartphone features alone (AUC = 0.75) were significantly better than the MoCA alone (AUC = 0.66; p<0.01), and their combination had the largest AUC (0.80).ConclusionResults support the utility of novel passively collected information from smartphones for detecting and monitoring FTD without contributing to assessment burden. With continued validation, passive digital monitoring methodologies have potential to increase access to dementia care.

Background: Previous research has reported higher rates of both injury and illness among Paralympic athletes compared with Olympic athletes during the Winter Olympic and Paralympic Games, but no studies have directly compared injury and illness incidence between Olympic and Paralympic athletes competing in a Summer Games. Purpose: To compare injury and illness rates between Olympic and Paralympic Team USA athletes competing in the Tokyo 2020 Olympic and Paralympic Games. Study Design: Descriptive epidemiology study. Methods: All injuries and illnesses that occurred among the Team USA athletes competing in the Tokyo 2020 Summer Olympic or Paralympic Games were documented. A total of 701 Team USA athletes (53.6% female) competed in the Tokyo 2020 Summer Olympic Games, across 34 different sports. For the Tokyo 2020 Summer Paralympic Games, a total of 245 athletes (51.6% female) competed across 20 sports. Incidence rates (IRs) per 1000 athlete-days were calculated according to sex, sport, anatomic location, and illness type. IR ratios (IRRs) were calculated to compare IRs between male and female athletes and between Olympic and Paralympic athletes. Results: Overall, there were no differences in injury incidence (IRR, 1.18; 95% CI, 0.84-1.68) or illness incidence (IRR, 0.68; 95% CI, 0.41-1.15) between Olympic and Paralympic athletes. Male Paralympic athletes were less likely to sustain an illness compared with female Paralympic athletes (IRR, 0.35; 95% CI, 0.11-0.90). Conclusion: There were no differences in injury or illness rates between Olympic and Paralympic Team USA athletes competing at the Tokyo 2020 Summer Games, contrary to previous comparisons among winter sport athletes. These results challenge the prevailing notion that Summer Paralympic athletes are at greater injury and illness risk, suggesting that factors beyond Olympic or Paralympic Games participation influence health concerns.

Introduction: To analyze the association of patient characteristics on operating room (OR) times for robotic-assisted partial nephrectomies (RAPNs). Methods: In total, 248 consecutive RAPNs were performed by a single surgeon from October 2018 to August 2022. Data were collected on the following patient factors: sex, age, race, weight, body mass index (BMI), diabetes, hypertension (HTN), tumor side, tumor mass, and American Society of Anesthesiologists (ASA) score. Total fixed OR times were evaluated as the sum of in-room time to anesthesia-release time (IRAT), anesthesia-release time to cut time (ARCT), close time to wheels out time (CTWO), and in-room time to cut time (IRAT + ARCT). Total variable OR times were defined as cut time to close time (CTCT). Total operative time was defined as wheels into wheel out (WIWO). Results: Median OR time was 265 minutes (interquartile range [IQR]: 247–298 minutes) for WIWO, 191 minutes (IQR: 170–225 minutes) for CTCT, and 75 minutes (IQR: 68–83 minutes) for total fixed time. There was a significant increase in WIWO with the following patient variables: male sex (18.0 minutes, 95% confidence interval [CI]: 6.3–29.7 minutes), weight (5.6 minutes, 95% CI: 2.8–8.4 minutes), BMI (14.3 minutes, 95% CI: 4.2–24.4 minutes), HTN (15.1 minutes, 95% CI: 3.7–26.5 minutes), pathology tumor size (cm) (6.4 minutes, 95% CI: 2.2–10.6 minutes), and ASA score (13.8 minutes, 95% CI: 3.1–24.4 minutes). Sex, age, BMI, weight, HTN, and pathology tumor size significantly impacted CTCT ( P < 0.05). Total fixed OR time was only affected by ASA score ( P = 0.02). Conclusions: Patient variables significantly affect total OR time and variable OR time. These variables do not impact total fixed OR times, confirming fixed OR time as a viable OR efficiency point.

Abstract Background Temozolomide (TMZ) treatment has demonstrated a variable impact on glioma prognosis. This study examines associations of survival with DNA repair gene germline polymorphisms among glioma patients who did and did not have TMZ treatment. Identifying genetic markers which sensitize tumor cells to TMZ could personalize therapy and improve outcomes. Methods We evaluated TMZ-related survival associations of pathogenic germline SNPs and genetically predicted transcript levels within 34 DNA repair genes among 1504 glioma patients from the University of California San Francisco Adult Glioma Study (UCSF AGS) and Mayo Clinic, whose diagnoses spanned pre- and post-TMZ eras within the major known glioma prognostic molecular subtypes. Results Among those who received TMZ, 5 SNPs were associated with overall survival, but not in those who did not receive TMZ. Only rs2308321-G, in MGMT, was associated with decreased survival (hazard ratio = 1.21, P = .019) for all glioma subtypes. Rs73191162-T (near UNG), rs13076508-C (near PARP3), rs7840433-A (near NEIL2), and rs3130618-A (near MSH5) were only associated with survival and TMZ treatment for certain subtypes, suggesting subtype-specific germline chemosensitization. Genetically predicted elevated expression of PNKP, compared to normal brain expression, was associated with markedly poor survival in TMZ-treated patients with isocitrate dehydrogenase (IDH)-mutant and 1p/19q non-codeleted gliomas (P = .015), with a median difference of over 70 months in overall survival times. Similarly, NEIL2 and TDG expressions were associated with altered TMZ-related survival only among certain subtypes. Conclusions Functional germline alterations within DNA repair genes were associated with TMZ sensitivity, measured by overall survival among adults with glioma. These variants should be evaluated in prospective analyses and functional studies.

Objective: To retrospectively analyze publicly available elbow ulnar collateral ligament reconstruction (UCLR) injury data for professional baseball players. Design: Descriptive epidemiology study. Setting: A retrospective analysis using an open-source database was performed. The database contained all known UCLR surgeries among Major League Baseball (MLB) and Minor League Baseball (MiLB) players. Participants: In total, 1801 professional male professional baseball pitchers (age: 24.5 ± 3.9 years) who have undergone UCLR between 1974 and 2024. Main Outcome Measures: The number of UCLR procedures each year. Independent Variables: Change-point analysis was used to identify changes in the number of UCLR surgeries over time among MLB and MiLB players. For MLB players, number of UCLR surgeries from 1974 to 2023 was analyzed, while for MiLB players, data starting from 1981 to 2024 were analyzed. Results: For MLB players, 3 change points were identified, occurring around 1989 (95% confidence interval [CI], 1988–1990), 2000 (95% CI, 2000–2000), and 2012 (95% CI, 2011–2017). For MiLB players, 3 change points were identified occurring around 2001 (95% CI, 2001–2001), 2009 (95% CI, 2008–2010), and 2013 (95% CI, 2013–2015). Conclusions: Overall, there has been a rise in the number of UCLR surgeries per year for the past 50 years in professional baseball, with distinct time points identified, representing increases in the number of UCLR surgeries each year. A higher number of UCLR surgeries are performed per year in the MiLB than in the MLB.

Abstract Background A passive dosimeter framework for the measurement of dose in carbon ion beams has yet to be characterized or implemented for regular use. Purpose This work determined the dose calculation correction factors for absorbed dose in thermoluminescent dosimeters (TLDs) in a therapeutic carbon ion beam. TLD could be a useful tool for remote audits, particularly in the context of clinical trials as new protocols are developed for carbon ion radiotherapy. Methods TLD‐100 were irradiated in a carbon ion beam at the Centro Nazionale di Adroterapia Oncologica (CNAO) in Pavia, Italy. The dose correction factors for linearity, fading, and beam quality were characterized. Fading was characterized from 5 to 100 days post‐irradiation. For linearity, the TLDs were irradiated to absorbed doses ranging from 1 to 15 Gy in both the entrance of a high‐energy pristine carbon ion peak and the center of a 2 cm spread‐out Bragg peak. For beam quality, the TLD was irradiated to the same absorbed dose (3 Gy) in several pristine carbon ion Bragg peaks, as well as in several spread‐out Bragg peaks. Each correction factor was calculated and compared to photon correction factors. The correction factors were also compared between high and low dose‐averaged linear energy transfer (LET D ) in the carbon ion beams. The absorbed dose was compared between ion chamber and TLD‐100 in the several tissue substitute phantom materials, applying the carbon ion TLD correction factors. Results There was no statistically significant difference in the TLD fading correction factor between photons, low LET D carbon ion beams, or high LET D carbon ion beams. The TLD linearity correction factor did differ between photons, low LET D carbon ions, and high LET D carbon ions. The beam quality correction factor was large and changed linearly with LET D . The overall uncertainty of the carbon ion absorbed dose calculation was 3.9% at the one‐sigma level, driven largely by a 3.5% uncertainty in the beam quality correction. TLD measurements were within 1.2% of ion chamber measurements in the phantom material for polyethylene, solid water (Gammex and Sun Nuclear), acrylic, blue water, and techtron HPV. TLD measurements in balsa wood were within 3.0% and cork was 6.6% low compared to ion chamber. Conclusion TLD‐100 can be used for passive dosimetry in a therapeutic carbon ion beam. Importantly, the linearity and beam quality correction factors are both different from photon therapy, and dependent on LET D of the carbon ion beam. This opens the possibility of TLD use for carbon ion output audits, phantom audits, and in vivo dose measurements, but may be subject to more complicated management and slightly larger uncertainties than are achieved in photon beams.

Abstract Vasculitic neuropathy is caused by inflammatory destruction of nerve blood vessels resulting in nerve ischaemia. Nerve vasculitis can be divided into two categories based on vessel size: large-arteriole vasculitis (≥75 µm) and microvasculitis (&lt;75 µm). Herein, we characterize the clinical features of nerve large-arteriole vasculitis in comparison to nerve microvasculitis. This is a retrospective cohort study of patients evaluated and biopsied at Mayo sites between 2001 and 2020. We collected clinical and histopathological data from patients whose nerve biopsies were either diagnostic or highly suggestive of nerve vasculitis. Two hundred and seventy-eight cases were identified: 125 cases of large-arteriole vasculitis and 153 cases of microvasculitis. Nerve large-arteriole vasculitis presented with a more acute (50.4% versus 26.8%) versus chronic onset (33.6% versus 57.5%) than nerve microvasculitis (P = 0.0001). Nerve microvasculitis had longer mean time to diagnosis (10.5 versus 4.3 months; P &lt; 0.0001) and longer time to plateau (8.9 versus 3.5 months; P &lt; 0.0001). Nerve large-arteriole vasculitis typically presented as distal asymmetric polyneuropathy (48.0%), whereas nerve microvasculitis typically presented as radiculoplexus neuropathy/polyradiculoneuropathy (more proximal involvement of shoulder and thigh) (43.8%) (P &lt; 0.0001). Systemic autoimmune disease was more common in nerve large-arteriole vasculitis (70.4% versus 22.9%, odds ratio, 8.0; 95% confidence interval, 4.7–13.7; P &lt; 0.0001). Nerve microvasculitis was significantly related to non-systemic vasculitis (71% versus 23%, odds ratio, 7.9; 95% confidence interval, 4.6–13.6; P &lt; 0.0001). Nerve microvasculitis had more autonomic involvement (24.2% versus 7.2%, odds ratio, 4.1; 95% confidence interval, 1.9–8.9; P = 0.0002). Nerve large-arteriole vasculitis and nerve microvasculitis have different but overlapping clinical features. Nerve large-arteriole vasculitis usually presents with acute onset, distal asymmetric polyneuropathy, associated with other autoimmune diseases and systemic involvement. In contrast, nerve microvasculitis usually presents with a subacute/chronic onset, as radiculoplexus neuropathy/polyradiculopathy (distal and proximal pattern) with autonomic involvement, and is more often a form of non-systemic vasculitis.