Citations

Abstract Background Interindividual variation in systolic blood pressure (SBP)–heart rate (HR) coupling reflects differences in autonomic and vascular regulation. The primary objective of this study was to determine whether SBP–HR synchronization identifies distinct hemodynamic phenotypes associated with demographic characteristics and blood pressure (BP) profiles in hypertensive and normotensive individuals. Methods We conducted a cross-sectional cohort analysis of 1,122 adults who underwent continuous 24-hour ambulatory monitoring of SBP, diastolic blood pressure (DBP), and HR in an outpatient clinical setting. Participants were classified as hypertensive or normotensive using guideline-based criteria. The primary exposure variable was SBP–HR synchronization, quantified using zero-lag cross-correlation coefficients. The primary outcomes were demographic characteristics (age, sex, stature) and BP phenotypes, including isolated systolic hypertension (ISH). Unsupervised partitioning around medoids clustering was used to identify synchronization-based phenotypes. Group comparisons were performed using Welch’s ANOVA and χ² testing, with multivariable adjustment for age and sex where applicable. Results All 1,122 participants were included in the final analysis (mean age 60.7 years; 52% female). Three synchronization phenotypes were identified: low, moderate, and high. Compared with the low-synchronization phenotype, the high-synchronization phenotype was younger (55.2 ± 15.0 vs. 66.6 ± 13.9 years), taller (170.4 ± 9.4 vs. 167.4 ± 10.5 cm), more frequently male (56% vs. 38%), and had lower baseline SBP (131.8 ± 17.5 vs. 136.7 ± 24.2 mmHg). Overall hypertension prevalence did not differ across phenotypes; however, ISH was less frequent in the high-synchronization phenotype (15.7% vs. 23.4%). Cluster assignments were robust across sensitivity analyses. Conclusions SBP–HR synchronization identifies distinct hemodynamic phenotypes associated with age, sex, stature, and BP characteristics. Stronger synchronization reflects a physiological profile consistent with preserved autonomic–vascular integration and lower prevalence of isolated systolic hypertension, supporting its potential role in refined cardiovascular phenotyping.

Abstract Generative artificial intelligence (AI) is rapidly populating medical records with synthetic or partially AI-generated content, creating a feedback loop where future models are increasingly at risk of training on uncurated AI-generated data. However, the clinical consequences of this AI-generated data contamination remain unexplored. Here, we show that in the absence of mandatory human verification, this self-referential cycle drives a rapid erosion of pathological variability and diagnostic reliability of medical data at population scale. By analysing more than 800,000 synthetic data points across clinical text generation, vision–language reporting, and medical image synthesis, we find that models progressively converge toward generic phenotypes regardless of the model architectures. Specifically, rare but critical findings, including pneumothorax and effusions, vanish from the synthetic content generated by AI models, while demographic representations skew heavily toward middle-aged male phenotypes. Crucially, this degradation is masked by false diagnostic confidence. Models continue to issue reassuring reports while failing to detect life-threatening pathology, with false reassurance rates tripling to 40%. Blinded physician evaluation confirms that this decoupling of confidence and accuracy renders AI-generated documentation clinically useless after just two generations. We systematically evaluate three mitigation strategies that can be easily integrated into existing clinical workflows, finding that while synthetic volume scaling fails to prevent collapse, mixing real data with quality-aware filtering effectively preserves diversity. Ultimately, our results suggest that without policy-mandated human oversight, the deployment of generative AI threatens to degrade the very healthcare data ecosystems it relies upon.

Abstract Background The Alzheimer's disease (AD) Braak staging is a key framework for classifying tau pathology progression in AD based on histopathological post‐mortem brain examinations. However, adapting it to PET imaging can be challenging due to differences in tracer uptake patterns and binding properties, which affect sensitivity, specificity, and regional staging. This study compares Braak staging across four tau PET tracers: Flortaucipir, MK6240, PI2620, and RO948. Methods We assessed 90 participants across the AD spectrum (46 CU, 31 MCI, 13 dementia; mean age 66.1 ± 7.8) using Aβ PET and four tau PET tracers: (Flortaucipir, MK6240, PI2620, and RO948). Braak positivity was defined based on Aβ− CU individuals (mean +2.5 SD, SUVR). To evaluate systematic bias and agreement between tracers, we computed pairwise differences at corresponding Braak stage estimates and applied the Bland‐Altman method to assess mean bias and limits of agreement. Additionally, Tau PET Braak region trajectories were modeled as functions of Aβ burden (Centiloid scale) using the Lowess method. Results Braak stage trajectories as a function of Aβ differ depending on the tracer and the sequential order of abnormality is highly variable. For instance, while for MK6240, RO948 and PI2620, Braak I is the first region to became abnormal, for Flortaucipir the earliest region to became abnormal is Braak IV (Figure 1). This variable pattern of abnormality impacts in the concordance of Braak staging between tracers with the highest Braak staging agreement resulting in concordance levels of approximately 70%. The highest levels of agreement between tracers usually happen at Braak 0 or Braak IV‐V, with intermediate stages showing very low concordance (Figure 2). The Bland‐Altman analysis identified wide limits of agreement, suggesting high variability and high tracer‐specific differences (Figure 3). On the other hand, it also identified that mean differences between tracers were small, indicating minimal systematic bias. Conclusion These preliminary findings reveal discrepancies in Braak staging when comparing Flortaucipir, MK6240, PI2620 and RO948. These findings suggest that while the tracers provide comparable stages on average, they may not be fully interchangeable in individual cases.

ABSTRACT Rationale Before evidence‐based practice (EBP) was formally adopted, healthcare decisions relied on critical thinking and clinical judgment informed by disciplinary knowledge, theory, and research, but lacked full integration of patient values with clinical expertise. Sackett et al. redefined EBP as the integration of the best available evidence, clinical expertise, and patient values. This framework has been embraced by nursing and other healthcare disciplines, embedding EBP into education, clinical protocols, and quality improvement efforts. Despite widespread adoption, traditional conceptualizations prioritize empirical evidence above patient values, potentially undermining individualized care. Aims and Objectives This paper proposes a reconceptualization that places patient and client values—their why —at the center of EBP, inspired by Simon Sinek's Golden Circle model which emphasizes starting with purpose to influence behavior effectively. Prioritizing the patient's values before incorporating empirical evidence into a care plan ensures that care aligns with their personal goals and definitions of health, fostering therapeutic relationships and supporting meaningful behavior change. Methods A conceptual analysis was conducted using Simon Sinek's Golden Circle model as a guiding framework. This model emphasizes starting with purpose to influence behavior effectively. The analysis explores how integrating patient values first, followed by empirical evidence and clinical expertise, can operationalize person‐centered EBP. Results The reconceptualized framework positions patient values as the foundation of care planning. By aligning interventions with patients' personal goals and values first, clinicians can strengthen therapeutic relationships and support individualized care. Conclusion Effective nursing clinicians and leaders must embrace this patient‐first approach to truly operationalize person‐centered, evidence‐based care that respects the diverse needs and motivations of patients.

Importance Acute invasive fungal rhinosinusitis (AIFRS) is a rapidly progressive and potentially life-threatening infection that predominantly affects immunocompromised patients. Recent advances in diagnostic imaging, antifungal therapy, and surgical techniques may have altered its incidence, morbidity, and mortality. Objective To evaluate temporal trends in the pooled proportion, morbidity, and mortality of AIFRS in immunocompromised patients and assess the association of diagnostic and therapeutic advances. Data Sources Systematic searches of Ovid MEDLINE, Ovid Embase, PubMed, Scopus, Web of Science, Cochrane, and Google Scholar from 1977 through October 20, 2025, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Study Selection Prospective, retrospective, and cross-sectional studies and case series reporting pooled proportion, morbidity, or mortality of AIFRS in immunocompromised patients were included. Non-English articles, reviews, editorials, and studies with fewer than 10 patients were excluded. Data Extraction and Synthesis Two independent reviewers extracted data using standardized templates; disagreements were resolved by consensus. Risk of bias was assessed using the Newcastle-Ottawa Scale and Murad tool for case series. Random-effects meta-analysis generated pooled proportion, morbidity, and mortality rates with 95% CIs. Heterogeneity was quantified using I 2 statistics. Meta-regression and sensitivity analyses evaluated temporal trends and study-level effects. Main Outcomes and Measures Pooled proportion, morbidity, and mortality rates of AIFRS stratified by publication period (1983-2012 vs 2013-2025). Results A total of 205 studies comprising 48 437 immunocompromised patients (median [range] age, 49.4 [5.2-68.8] years), including 10 311 (21.3%) with AIFRS, were analyzed. The pooled proportion was 11.8% (95% CI, 7.9%-17.2%), rising to 16.6% (95% CI, 8.7%-29.2%) in studies from 2013 to 2025. Overall mortality was 31.2% (95% CI, 28.3%-34.3%), declining from 41.9% (95% CI, 35.0%-49.1%) before 2013 to 28.2% (95% CI, 25.1%-31.4%) after 2013. Morbidity was 37.0% (95% CI, 32.9%-41.4%), with similar rates across periods (39.3% before 2013 vs 36.4% after 2013). The most common complications were vision loss, exophthalmos/proptosis, and orbital exenteration. Conclusions and Relevance This systematic review and meta-analysis suggests that the pooled proportion of AIFRS among immunocompromised patients has increased while mortality has declined, reflecting advances in diagnostic and therapeutic approaches. Early detection and aggressive management remain critical to improving outcomes.

Background Cysteine–cysteine chemokine receptors 2 (CCR2) and 5 (CCR5) contribute to immune suppression in tumor microenvironments. CCR2 and CCR5 antagonists have demonstrated antitumor activity in pancreatic ductal adenocarcinoma (PDAC) and colorectal cancer (CRC), respectively. This phase 1b/2, open-label study evaluated BMS-813160, a CCR2/5 dual antagonist, in combination with chemotherapy±nivolumab in advanced PDAC or metastatic CRC. Methods Part 1 included patients with metastatic untreated (first-line (1L)) PDAC, 1L CRC, or previously treated (second or third line (2/3L)) microsatellite stable (MSS) CRC. Patients received 2 weeks of BMS-813160 monotherapy (300 mg two times a day, 600 mg once daily, 300 mg once daily, or 150 mg once daily) and then BMS-813160+chemotherapy (gemcitabine+nab-paclitaxel (gem/nabP; 1L PDAC), 5-fluorouracil+leucovorin+irinotecan (FOLFIRI; 1L CRC)), or nivolumab (2/3L MSS CRC). Part 2 included patients with metastatic 1L PDAC or 2L CRC. Patients received BMS-813160 300 mg two times a day+gem/nabP±nivolumab (1L PDAC), BMS-813160 300 mg two times a day or 150 mg once daily+FOLFIRI (2L CRC), or chemotherapy alone. Primary endpoints were safety and pharmacodynamics (Part 1) and efficacy (Part 2). Results In Part 1, 22 of 75 (29%) and 54 of 72 (72%) patients experienced a treatment-related adverse event during monotherapy lead-in and overall, respectively. Two dose-limiting toxicities (rash and pericardial effusion with pericarditis, both grade 3) occurred. In Part 2, patients with 1L PDAC who received BMS-813160 300 mg two times a day+gem/nabP+nivolumab achieved an overall response rate (ORR) of 37% (13/35); the median duration of response (DOR) was 45 weeks (95% CI 26.1 to not evaluable). ORRs with BMS-813160 300 mg two times a day+gem/nabP and gem/nabP alone were 26% (9/35) and 28% (9/32), respectively; median DORs were 121 and 31 weeks, respectively. Progression-free survival rates at 24 weeks were 56% (BMS-813160 300 mg two times a day+gem/nabP+nivolumab), 56% (BMS-813160 300 mg two times a day+gem/nabP), and 50% (gem/nabP). ORRs in 2L CRC were 19% (6/32; BMS-813160 300 mg two times a day+FOLFIRI), 13% (4/32; BMS-813160 150 mg once daily+FOLFIRI), and 27% (7/26; FOLFIRI). Conclusions In 1L PDAC, BMS-813160 300 two times a day+gem/nabP±nivolumab demonstrated durable antitumor response and was well tolerated. BMS-813160 combination regimens were tolerable in other cohorts, but clinical efficacy was not demonstrated. Trial registration number NCT03184870 .

Thalamic neuromodulation for drug-resistant epilepsy has evolved from ablative thalamotomy to network-guided deep-brain stimulation (DBS) and responsive neurostimulation (RNS). Currently, the only Food and Drug Administration-approved DBS target is the anterior thalamic nucleus, which provides substantial and durable seizure reduction, particularly in limbic and temporal epilepsies. There is growing evidence that the centromedian and pulvinar nuclei are implicated in generalized, multifocal, and posterior neocortical epilepsies. Advanced imaging, probabilistic atlases, and connectomics can be used to refine targeting; however, they are limited by patient specificity, acquisition burden, and interatlas variability. Thalamic stereoelectroencephalography may clarify potential neuromodulation target selection by characterizing ictal recruitment, network dynamics, and biomarkers. Although DBS and RNS each have unique benefits, no modality has demonstrated superior. Pediatric data are heterogeneous and scarcer, but seizure reduction and safety profiles are similar to adults. Further studies are needed to optimize neuromodulation target selection and programming paradigms.