Citations

Abstract INTRODUCTION Combining Alzheimer's disease blood biomarkers may improve prediction of amyloid positivity (A+) compared with single biomarkers. METHODS Logistic regression models using plasma phosphorylated tau 217 (p‐tau217), amyloid beta (Aβ) 42, and Aβ40 were developed in cognitively impaired (CI) participants from Mayo Clinic Rochester (MCR) and validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) and Mayo Clinic Florida (MCF) cohorts. Performance was measured by area under the curve (AUC) and Probability of Amyloid Positivity Score (PAPS). RESULTS Plasma p‐tau217 alone showed high AUC (95% confidence intervals) across cohorts MCR, 0.928 (0.900–0.953); ADNI, 0.938 (0.915–0.959); MCF, 0.935 (0.893–0.970). Adding Aβ42 to regression models yielded marginal model improvement MCR, 0.940 (0.915–0.963); ADNI, 0.945 (0.922–0.965); MCF, 0.960 (0.925–0.986). Utilization of two cutpoints (≥ 90% sensitivity and specificity), yielded ≤ 10% intermediate results for p‐tau217, and ≤ 8% for p‐tau217+Aβ42. Addition of Aβ40 did not improve models’ performance. DISCUSSION An immunoassay‐based p‐tau217 PAPS model accurately predicted amyloid positivity across independent CI cohorts and achieved confirmatory‐test performance with two cutpoints. The added value of Aβ42 was modest and cohort dependent, supporting the potential of use of p‐tau217–based PAPS in clinical workflows.

Abstract Background Prostate artery embolization (PAE) requires precise visualization of complex pelvic arterial anatomy and can be aided by advanced vessel navigation tools. Photon counting detector (PCD) CT provides simultaneous ultra‐high resolution and material‐specific imaging, potentially improving automatic vessel tracing workflow for procedural planning and guidance. Purpose To identify, within a PCD‐CT workflow, the reconstruction that provides the most robust and consistent automatic vessel tracing for pre‐procedural PAE planning. Methods Ten patients underwent PCD‐CT angiography of the prostate arteries in ultra‐high‐resolution mode. Four reconstruction approaches were evaluated: conventional reconstructions with (1) standard of care kernel and (2) sharper kernel (Bv64), along with (3) monoenergetic 50 keV, and (4) iodine map spectral results. Using commercial embolization guidance software, three vessels were manually traced for each patient to establish ground truth segmentation. Subsequently, automatic vessel traces were generated using identical start/end points as the ground truth. Root mean squared error (RMSE) between automatic traces and ground truth was used to quantify tracing accuracy. Results Comparing individual traces, iodine maps demonstrated consistency with median RMSE of 0.7 mm (0.4 mm interquartile range (IQR)) versus 0.7 mm (12.5 mm IQR), 1.5 mm (14.7 mm IQR), and 0.8 mm (6.7 mm IQR) for Bv56, Bv64, and 50 keV reconstructions, respectively. Iodine maps produced fewer outliers, with 13.3% of traces and 40.0% of patients having one or more traces exceeding 5 mm RMSE, compared with 26.7%–36.7% of traces and 60.0%–80.0% of patients for the other reconstructions. Conclusions Material‐specific iodine reconstructions from PCD‐CT yield more robust automatic vessel tracing for PAE planning, offering a workflow‐compatible solution requiring minimal protocol modifications.

Importance Timely identification of aortic stenosis (AS) is essential for appropriate clinical management, yet screening remains limited by dependence on comprehensive echocardiography and trained imaging personnel. Objective To develop and validate a deep learning algorithm for detection of moderate or greater AS and prospectively evaluate its performance using artificial intelligence (AI)–guided focused cardiac ultrasound (FoCUS) acquired by novice operators. Design, Setting, and Participants This diagnostic study included retrospective algorithm development and validation and prospective evaluation of AI-guided FoCUS across Mayo Clinic sites in the Midwest, Arizona, and Florida. The model was developed using 6753 patients and evaluated in internal validation (n = 852), internal test (n = 844), and validation (n = 1912) cohorts. Performance was assessed on FoCUS acquired by experienced sonographers (n = 602) and prospectively by novice operators (n = 1302). The retrospective model development and validation cohorts comprised studies performed from January 2005 through September 2022. Prospective study was conducted in 2 enrollment periods from June to August 2024 and from June to September 2025. Participants from both periods were combined to comprise the final prospective cohort. Exposure AI-guided FoCUS acquisition and automated deep learning–based assessment for detection of moderate or greater AS. Main Outcomes and Measures Detection of moderate or greater AS. Performance was assessed using area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and positive predictive value. Results The model demonstrated excellent discrimination in the internal test cohort (AUROC, 0.99; 95% CI, 0.98-1.00) and geographically distinct validation cohorts in Arizona (AUROC, 0.99; 95% CI, 0.97-1.00) and Florida (AUROC, 0.99; 95% CI, 0.96-1.00). Among FoCUS examinations acquired by experienced sonographers, sensitivity was 95% (95% CI, 82-99) and specificity was 97% (95% CI, 95-98). In the prospective novice-operator cohort, 1258 of 1302 examinations (96.6%) were suitable for automated analysis. Sensitivity was 93% (95% CI, 82-99) and specificity was 96% (95% CI, 95-97). Expert review of AI-positive and uninterpretable examinations increased the positive predictive value from 49.4% to 91.1%, with sensitivity of 85.4%. Conclusions and Relevance A deep learning algorithm accurately detected moderate or greater AS across validation cohorts in this study. In prospective evaluation, novice operators were able to acquire AI-guided FoCUS examinations that enabled accurate detection of moderate or greater AS. These findings support a scalable strategy that may expand access to AS detection in settings with limited echocardiography resources.

Background Transcatheter edge‐to‐edge repair (TEER) and replacement (TTVR) have emerged as new modalities to treat patients with symptomatic significant tricuspid regurgitation. This study aimed to compare invasive hemodynamic and right ventricular (RV) changes and symptom improvement over 1 year. Methods Patients who underwent TEER/TTVR at Mayo Clinic (Rochester, MN, 2017–2024) were included. Hemodynamic profiles were described before and immediately after intervention, in addition to RV enlargement/dysfunction ≥moderate at 30 days and change in symptoms over time. Results Of 100 patients included (50 per group, median age 81 versus 80 years and female 62% versus 42%, in TTVR and TEER, respectively), all had ≥ moderate–severe symptomatic tricuspid regurgitation. Post intervention, mean right atrial pressure decreased in TEER (16 to 14 mm Hg, P <0.001), V wave decreased in both groups (to 16 mm Hg, P <0.001). RV enlargement was less prevalent in both cohorts at 30 days (60%–40% in TEER, P =0.01, and 72 to 58% in TTVR, P =0.07), yet prevalence of RV dysfunction decreased only in TEER (26 to 15%, P =0.17) as opposed to TTVR (31 to 44%, P =0.13). TTVR resulted in a higher stroke volume index and more complete tricuspid regurgitation elimination at 30 days. Both groups resulted in similar improvements in New York Heart Association class, with overall similar survival. Conclusions TEER was associated with a greater reduction in right atrial pressure and more favorable RV remodeling at 30 days, as opposed to TTVR, which achieved more complete and sustained elimination of tricuspid regurgitation with higher forward stroke volume.

OBJECTIVE Multisegmental pathological autofusion is a hallmark feature of ankylosing spondylitis (AS) and diffuse idiopathic skeletal hyperostosis (DISH), creating a rigid, brittle spine highly susceptible to three-column fractures and devastating neurological injury. This study aimed to evaluate survival outcomes in this patient population and identify clinical and demographic predictors of mortality. METHODS Adults with DISH or AS who sustained a fracture and were admitted to a single tertiary care center for spinal fracture were retrospectively identified using ICD-10 diagnostic codes. Data were extracted on demographics, clinical presentation, fracture characteristics, and details of treatment. RESULTS A total of 383 patients (median age 78 years, 75.2% male) were included. Over a median follow-up of 17.3 months, overall mortality was 38.1%, in-hospital mortality was 5.2%, 30-day mortality was 5.7%, and 1-year mortality was 18.0%. Initial treatment consisted of external orthosis in 220 (57.4%) and surgery in 144 (37.6%), while 19 (5.0%) were left untreated. Patients who died were older (median 83 vs 74 years, p < 0.001), had a lower BMI (29.4 vs 32.3 kg/m 2 , p < 0.001), had higher frailty on the 5-item modified frailty index (mFI-5), and more commonly had congestive heart failure (CHF), cancer, functional dependency, and chronic kidney disease (CKD) (all p < 0.01). Mortality was not associated with fracture location, mechanism of injury, fracture number, or the presence of neurological deficits. Univariable time-to-event analysis showed that decreased survival was predicted by older age (HR 1.08, p < 0.0001), lower BMI (HR per kg/m 2 0.93, p < 0.0001), functional dependency (HR 2.05, p < 0.001), cancer (HR 1.55 p = 0.01), CKD (HR 1.48, p = 0.019), CHF (HR 2.18, p < 0.001), and higher mFI-5 score (HR per point 1.34, p < 0.001). On multivariable analysis, older age (HR 1.06 per year, p < 0.001), lower BMI (HR per kg/m 2 0.95, p < 0.001), and mFI-5 score (HR per patient 1.37, p < 0.001) remained significant independent predictors of mortality. Treatment modality did not predict mortality. CONCLUSIONS AS- or DISH-associated spinal fractures have a high associated mortality, regardless of mechanism or severity. Treatment modality did not affect odds of survival, suggesting that nonoperative management with an external orthosis may be an appropriate option, particularly in older and medically complex patients.

Abstract Introduction Patients with metastatic spine disease (MSD) present with varying degrees of systemic illness and frailty. Given the palliative intent of surgery and radiation treatment for MSD, treatment risks must be judiciously weighed against potential benefits. We sought to examine the impact of peroperative nutritional status as measured by the PG-SGA on survival in patients undergoing surgery and radiation for MSD. Methods This study involved an international, multicenter prospective, observational registry of patients with MSD: AO Knowledge Forum Tumor’s Metastatic Tumor Research and Outcomes Network (MTRON). Variables including baseline demographics, oncologic data, adverse events (medical adverse events and surgical complications), length of stay, and nutritional status were prospectively collected. The Patient-Generated Subjective Global Assessment (PG-SGA) was used to evaluate nutritional status. Results A total of 589 patients were included in this study; 469 (80%) of whom underwent surgery and radiation and 120 (20%) of whom underwent radiation alone. The majority of patients (362, 61%) were classified as well nourished, however, 68 patients (12%) were classified as severely malnourished. Among patients that underwent surgery and radiation, the median overall survival of well nourished patients was 491 days compared to 117 days in the severely malnourished patients (p &lt; 0.001). A multivariate analysis demonstrated severe malnourishment and ECOG performance status of 3 or 4 were associated with worse overall survival. Conclusion Malnutrition as measured by the PG-SGA demonstrated to be significantly and independently associated with perioperative survival in patients with MSD. Further studies that investigate optimal pre-treatment optimization for patients with MSD in order to mitigate morbidity and mortality risk are essential.

Abstract Introduction As the incidence of metastatic spine disease (MSD) increases, treatments to manage refractory pain, pathologic vertebral body fractures, and spinal cord compression are becoming increasingly common. Given the palliative nature of surgical intervention used to achieve tumor control and thus mitigate loss of neurologic function and compromised ambulatory function, it is essential to mitigate the risk of such procedures. Methods The AO Spine Knowledge Forum Tumor’s Metastatic Tumor Research and Outcomes Network (MTRON), an international, prospective registry for patients with spinal metastases, was used for this query. Prospective collection included baseline health and demographic information, oncologic data (including Spinal Instability Neoplastic Score (SINS) score and Bilksy epidural compression classification), and baseline functional status (preoperative American Spinal Injury Association (ASIA) and ECOG scores). Health related quality of life (HRQoL) data included Spine Oncology Study Group Outcomes Questionnaire (SOSGOQ2.0) and Euro-QoL measures. Surgery related adverse events (AE’s) were collected using the Spine Adverse Events Severity (SAVES V2) framework. Kaplan-Meir curves were used to assess survival. Results The cohort consisted of 1267 patients, 701 male (55.3%). A total of 245 (19.3%) experienced at least one postoperative AE, the majority of which were considered minor (grade 3 or less). Among the most common were deep wound infections (3.2%), wound dehiscence (2.5%), and urinary infections (2.4%). A multivariate analysis demonstrated that age, smoking status, ECOG performance, prior radiotherapy, presence of multiple metastases at other sites, and multiple spine metastases were significant risk factors for a postoperative AE. Postoperative AE’s (p = 0.049) and major postoperative AE’s (p = 0.0038) were found to be related to survival as well as a significant change in HRQoL scores (p &lt; 0.001). Conclusion Postoperative AE’s are extremely relevant to the care of patients with MSD and impact both HRQoL and survival.

Background Mild cognitive impairment (MCI) represents a critical window for both pharmacological therapies and non-pharmacological interventions to delay cognitive decline. Objective To evaluate whether combining pharmacotherapy with multicomponent behavioral interventions enhances outcomes relative to behavioral interventions alone. Methods The sample included people with MCI (pwMCI) of any etiology who completed the HABIT Healthy Action to Benefit Independence & Thinking ® program. Baseline pharmacotherapy (acetylcholinesterase inhibitor and/or glutamate regulators) use was dichotomized (yes/no). Multivariate linear mixed-effects models examined changes from baseline in care partner-reported everyday functional skills, quality of life, self-efficacy, anxiety, depression, and HABIT compliance at post-intervention, 6 months, and 12 months, adjusting for baseline cognitive impairment severity and relevant demographic covariates. Results Among 1074 pwMCI, 413 (38.5%) were receiving pharmacotherapy at baseline. Pharmacotherapy use was more prevalent among White than non-White participants (39.4% versus 23.3%, p = 0.01). At baseline, pharmacotherapy users had more severe cognitive impairment and lower utilization of rehabilitation strategies (all p < 0.05). Both groups demonstrated significant improvements across all outcomes at post-intervention. During follow-up (mean score change compared to baseline), pharmacotherapy users showed greater increases in HABIT compliance at 6 months (3.2 versus 2.0) and 12 months (2.1 versus 1.4). In contrast, by 12 months, pharmacotherapy users experienced greater worsening of everyday functional skills related to memory (−2.1 versus −1.3) and executive function (−5.8 versus-3.7). Conclusions pwMCI undergoing pharmacotherapy entered the HABIT program with more advanced cognitive impairment. The pharmacotherapy was not associated with greater intervention-related benefit or attenuation of long-term cognitive decline.

Heart rate variability (HRV) is a widely utilized approach for investigating cardiovascular health and human performance. Methodological approaches, analyses, and interpretations of HRV can vary extensively, and scientific debates on HRV reliability and utility remain. These debates have been amplified in recent years by the rapid growth and ubiquity of wearable devices, and their incorporation into scientific research studies. The present guidelines paper takes an evidence-based approach to propose more consistent and rigorous measurement and interpretation of HRV within human cardiovascular research and application. First, HRV has some utility as a cardiovascular risk stratification tool, but is not appropriate to employ as a specific marker of cardiac sympathetic outflow or sympathovagal balance. While time-domain and spectral analysis can more accurately reflect respiratory modulation of cardiac vagal (parasympathetic) activity, caution is necessary to avoid overinterpretation, particularly with respect to the concept of “vagal tone”. Numerous experimental, demographic, and environmental factors influence HRV assessment, interpretation, and reliability. Specifically, it is critical to account for non-modifiable (age, sex, race/ethnicity, etc.) and modifiable (i.e., exercise, physical fitness, etc.) factors within participant samples. Furthermore, technical approaches such as the HRV input signal (e.g., electrocardiography vs. photoplethysmography), length of recording, location of recordings (i.e., laboratory vs. field), respiratory rate and depth, and analytical approaches (i.e., time vs. frequency domain) can all impact rigor, reliability, and study interpretations. Finally, with respect to the rapid advancements of HRV assessment using wearable technology, investigators should interpret and contextualize findings within the limitations outlined in this guideline review.