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Stellate ganglion blockade (SGB) is an uncommon but increasingly relevant therapy used to modulate the autonomic nervous system and reduce the risk of atrial fibrillation (AF). This narrative review focuses specifically on the potential therapeutic role of SGB in new-onset perioperative atrial fibrillation (POAF), a complication associated with adverse long-term outcomes that may diminish the overall benefits of surgery. SGB may reduce AF through several inflammation-mediated mechanisms, including attenuation of direct sympathetic activation and modulation of perioperative inflammatory responses. Because the clinical effects of SGB may persist beyond the expected duration of local anesthetic nerve blockade, we emphasize immunomodulation as a potential mechanism sustaining its beneficial effects and influencing longer-term outcomes. In this review, we examine the immunological effects of SGB in the context of postoperative AF, with particular emphasis on human studies most relevant to clinical practice. Available evidence suggests that, beyond nonspecific inflammation, several less commonly studied cellular components, including mast cells and T cells, may contribute to the initiation and persistence of POAF. These findings support the hypothesis that SGB may reduce POAF by limiting stellate ganglionitis driven by perioperative localized leukocyte activation. Future studies should define the extent, timing, and frequency of this inflammatory process and determine whether specific inflammatory or autonomic phenotypes can identify patients most likely to benefit from SGB.

Variability in novel inflammatory markers (HBP and SAA) post-surgery could indicate ongoing perioperative inflammation. This pilot cohort study collected blood from 99 patients undergoing elective cardiac surgery at baseline, 24 hours, 7 days, and 3 months post-surgery. Inflammatory markers (HBP, SAA, PCT, CRP, IL-6) were measured with a point-of-care device. Demographic and clinical data were extracted from health records. Serum SAA increased significantly in the acute postoperative phase (M e [IQR];SAA baseline =81.1[87] vs SAA 24hr= 232.65[88.02];U[72]=2343,p<0.0001), remained elevated at 7 days (Me 7d =252.6[88.56];U[57]=1484,p<0.0001) and were still more pronounced than baseline at t 3m (Me 3m =118.44[101.52];U[38]=448,p=0.0008). HBP showed a significant rise at seven days (HBP baseline =45[26;89] vs HBP 7d =121[69.75;224.5]; U[56]=805,p<0.0001) then returned to near baseline by t 3m (Me 3m =32.5[15.75;98.5]). Traditional inflammatory markers PCT, CRP, and IL-6 demonstrated a rapid increase at t 24h and plateaued at t 7d . None of the biomarkers showed variability at baseline or postoperatively with preoperative status or postoperative complications. Cluster analysis of the inflammatory markers at 24 hours (t 24h ) identified distinct subgroups. Cluster #1-patients with a modest increase in all markers; Cluster#2 characterized with a robust increase in IL-6; Cluster #3 showed increase in CRP and decline in HBP; Cluster #4 showed a modest increase in IL-6 and decline in HBP; Cluster #5 represented a decline in both CRP and SAA. Patients in these clusters differ with respect to age, pre-existing peripheral artery disease, and borderline differences in perioperative acetaminophen use. SAA and HBP remain elevated longer than IL-6, CRP, and PCT after surgery, suggesting that inflammation may persist beyond 3 months.

ABSTRACT Peritoneal fibrosis is one of the main causes of peritoneal dysfunction and withdrawal of patients from peritoneal dialysis (PD). Our previous study has shown that high‐glucose dialysis solution promotes glycolysis in peritoneal mesothelial cells, leading to mesothelial‐to‐mesenchymal transition (MMT) and peritoneal fibrosis. However, the molecular mechanisms remain unclear. Using single‐cell RNA sequencing (scRNA‐seq) analysis of cells from the effluent of patients undergoing PD from our previous study, we found that pyruvate kinase isozymes M2 (PKM2), a key rate‐limiting enzyme of glucose metabolism, was significantly upregulated in the mesothelial cells of patients with long‐term peritoneal dialysis (LPD). Using co‐immunoprecipitation, chromatin immunoprecipitation assay, and gene silencing techniques, we revealed that PKM2 promotes the expression of transcription factor SNAI2 by acetylating histone H3K9 (H3K9ac), thereby promoting the occurrence of MMT and hence peritoneal fibrosis. l ‐cysteine, a known PKM2 inhibitor, blocked these responses and prevented PD‐induced peritoneal fibrosis. These results could provide a novel therapeutic strategy for treating peritoneal fibrosis.

ABSTRACT Erectile dysfunction (ED) is a prevalent condition severely impacting men's quality of life. While micronutrient balance is critical for sexual health, observational studies on micronutrient and ED remain inconclusive. The objective of this study was to evaluate the causal role of circulating levels of copper and other micronutrients in ED risk by Mendelian randomization (MR). We conducted bidirectional two‐sample MR using summary statistics from European‐ancestry cohorts involving thirteen micronutrients. Inverse‐variance weighted (IVW) MR was complemented by sensitivity analyses, including MR‐Egger and MR‐PRESSO, and pooled analysis of two GWAS‐based datasets was performed to substantiate the findings of MR. In this study, circulating copper levels significantly increased ED risk in the discovery (OR = 1.129, 95% CI: 1.004–1.27, p = 0.042) and replication (OR = 1.115, 95% CI: 1.001–1.242, p = 0.0476) stages, as well as pooled analyses (OR = 1.122, 95% CI: 1.036–1.214, p = 0.0046). Sensitivity analyses reinforced the robustness of these findings, with no significant heterogeneity or directional pleiotropy observed. Reverse MR found no causal effect of ED on micronutrients. In summary, this study provides robust genetic evidence that elevated circulating copper levels are a modifiable risk factor for ED. Personalized management of copper intake, guided by genetic predisposition, may mitigate ED risk and improve sexual health outcomes. These findings highlight the clinical relevance of copper homeostasis in ED prevention and underscore the need for targeted nutritional interventions.

Abstract The establishment of guidelines and curriculum standards for medical physics residency training is a critical component of setting expectations and competencies for the profession. Since the last publication of these standards, residency training has become integrated into the eligibility criteria for most medical physics certification bodies. The rapid growth of medical physics requires periodic review of the curriculum to remove outdated approaches, update established knowledge, and add emerging technologies. The goal of this document is to provide a reference standard for residency training program directors, training mentors, and residents to guide creation and/or optimization of their program's curriculum. The document is intentionally forward‐looking to capture emerging technological advances including hybrid diagnostic and therapeutic delivery systems and applications of image processing. This document is an update of the current residency training curriculum. Version history of residency training guidelines Publication Title Date 2013 Essentials and Guidelines for Clinical Medical Physics Residency Training Programs—AAPM Report No. 249 2006 Essentials and Guidelines for Hospital‐Based Medical Physics Residency Training Programs—Report No. 90 1992 Essentials and Guidelines for Hospital‐Based Medical Physics Residency Training Programs—Report No. 36 The Work Group on Periodic Review of Medical Physics Residency Training (WGMPRT) would like to acknowledge the authors of past versions of this document as they form the basis for this update. It is the sincere hope of the WGMPRT that this report will continue to be used by the medical physics community to guide training in the profession.

Abstract Mounting evidence indicates the involvement of peripheral immunity in the regulation of brain function, influencing aspects such as neuronal development, emotion, and cognitive abilities. Previous studies from our laboratory have revealed that neonatal hepatitis B vaccination can downregulate hippocampal neurogenesis, synaptic plasticity and spatial learning memory. In the current post-epidemic era characterized by universal vaccination, understanding the impact of acquired immunity on neuronal function and neuropsychiatric disorders, along with exploring potential underlying mechanisms, becomes imperative. We employed hepatitis B vaccine-induced CD3 positive T cells in immunodeficient mice to investigate the key mechanisms through which T cell subsets modulate hippocampal neurogenesis and anxiety-like behaviours. Our data revealed that mice receiving hepatitis B vaccine-induced T cells exhibited heightened anxiety and decreased hippocampal cell proliferation compared to those receiving phosphate-buffered saline-T cells or wild-type mice. Importantly, these changes were predominantly mediated by infiltrated CD8+ T cells into the brain, rather than CD4+ T cells. Transcriptome profiling of CD8+ T cells unveiled that C-X-C motif chemokine receptor 6 positive (CXCR6+) CD8+ T cells were recruited into the brain through microglial and astrocyte-derived C-X-C motif chemokine ligand 16 (CXCL16). This recruitment process impaired neurogenesis and induced anxiety-like behaviour via tumour necrosis factor-α-dependent mechanisms. Our findings highlight the role of glial cell derived CXCL16 in mediating the recruitment of CXCR6+CD8+ T cell subsets into the brain. This mechanism represents a potential avenue for modulating hippocampal neurogenesis and emotion-related behaviours after hepatitis B vaccination.

Introduction: Atherosclerotic peripheral artery disease (PAD) leads to a great burden of cardiovascular and limb-related morbidity and mortality in African Americans (AA) compared to White Americans. Medical center partnerships with churches may be an effective method to improve PAD awareness and detection in the AA community. Hypotheses: We hypothesized that implementing a medical educational program in partnership with churches would increase PAD familiarity and identify participants with undiagnosed PAD. Aims: To determine (1) PAD familiarity before and after a one-time educational intervention and (2) the prevalence of PAD in older, church-going Nashville residents. Methods: Using a community-engaged research (CER) model, we partnered with 5 churches to enroll participants ≥ 50 years of age. Participants were given a 16-point pre- and post-educational program assessment to determine baseline and post-intervention PAD knowledge. Pre- and post-intervention scores were compared using Wilcoxon signed-rank test. Ankle-brachial index (ABI) testing was used to screen for PAD (ABI < 0.9). Results: We enrolled 120 participants (mean age [SD]: 64.67 [8.33] years, 74% women, 80% AA). The prevalence of PAD was 10.83%. Pre-intervention PAD awareness was low (mean score (MS): 10.89 [4.24]) and improved significantly post-intervention in all participants (MS: 13.88 [2.76; p=2 x 10 -12 ). Participants without PAD (ABI ≥ 0.9-1.39) (MS: 10.81 [4.28] vs. 13.91 [2.79]; p= p=4 x 10 -11 ) and with indeterminate status (ABI>1.4) (MS [SD]: 10.00 [5.03] vs. 14.10 [1.73; p=0.01) showed significant improvement in PAD awareness pre vs post intervention. Participants with PAD (ABI <0.9) (MS: 12.15 [3.26] vs. 13.46 [3.26; p=0.40) did not have significant improvement in their awareness scores. Conclusions: The PRAISE study demonstrates an effective CER partnership with churches as a method to increase PAD awareness and early detection of PAD, specifically among AAs.

While the rupture rate of cerebral aneurysms is only 1% per year, ruptured aneurysms are associated with significant morbidity and mortality, while aneurysm treatments have their own associated risk of morbidity and mortality. Conventional markers for aneurysm rupture include patient-specific and aneurysm-specific characteristics, with the development of scoring systems to better assess rupture risk. These scores, however, rely heavily on aneurysm size, and their accuracy in assessing risk in smaller aneurysms is limited. While the individual risk of rupture of small aneurysms is low, due to their sheer number, the largest proportion of ruptured aneurysms are small aneurysms. Conventional imaging techniques are valuable in characterizing aneurysm morphology; however, advanced imaging techniques assessing the presence of inflammatory changes within the aneurysm wall, hemodynamic characteristics of blood flow within aneurysm sacs, and imaging visualization of irregular aneurysm wall motion have been used to further determine aneurysm instability that otherwise cannot be characterized by conventional imaging techniques. The current manuscript reviews conventional imaging techniques and their value and limitations in cerebral aneurysm characterization, and evaluates the applications, value and limitations of advanced aneurysm imaging and post-processing techniques including intracranial vessel wall MRA, 4D-flow, 4D-CTA, and computational fluid dynamic simulations.

Abstract BackgroundMany studies have evaluated bundled interventions to improve hand hygiene compliance (HHC). However, the compliance rates remain low. We aimed to use Kotter's change model (KCM) to improve HHC and conduct a complete process evaluation for HHC among medical staff in the intensive care unit (ICU). MethodsKCM was administrated in the ICU of Zhongnan Hospital of Wuhan University from March 2018 to August 2021, and 41-month longitudinal monitoring of HHC was carried out. The primary outcome was the absolute change in monthly HHC. The secondary outcomes included the characteristics of HHC in different phases, the different change trends of HHC for different HH opportunities and occupations, the quarterly incidence of the central line-associated bloodstream infection (CLABSI), and the catheter-associated urinary tract infection (CAUTI).Results. 20,222 HH actions and 24,195 HH opportunities were included in this study. The overall HHC was 83.58% (95%CI, 83.11%-84.04%). After implementing the KCM project, the HHC increased from 35.71% (95%CI, 22.99%-50.83%) to 87.75% (95%CI, 85.53%-89.67%), with an increased rate of 145.73%. The fastest-growing rate of HHC was after contact patients, which increased from 35.29% to 89.8%. Quarterly trends of the CLABSI rate (0‰-3.53‰) and CAUTI rate (0.96‰-4.26‰) remained stable at a low level under the background of the number of cases and the treatment complexities of the patients increasing year by year.ConclusionsUsing KCM can systematically change the cognition of HH in healthcare providers and create an atmosphere to promote HH to improve and maintain the stability of the HHC of healthcare providers in ICU.

As the most lethal major cancer, pancreatic cancer is a global healthcare challenge. Personalized medicine utilizing cutting-edge multi-omics data holds potential for major breakthroughs in tackling this critical problem. Radiomics and deep learning, two trendy quantitative imaging methods that take advantage of data science and modern medical imaging, have shown increasing promise in advancing the precision management of pancreatic cancer via diagnosing of precursor diseases, early detection, accurate diagnosis, and treatment personalization and optimization. Radiomics employs manually-crafted features, while deep learning applies computer-generated automatic features. These two methods aim to mine hidden information in medical images that is missed by conventional radiology and gain insights by systematically comparing the quantitative image information across different patients in order to characterize unique imaging phenotypes. Both methods have been studied and applied in various pancreatic cancer clinical applications. In this review, we begin with an introduction to the clinical problems and the technology. After providing technical overviews of the two methods, this review focuses on the current progress of clinical applications in precancerous lesion diagnosis, pancreatic cancer detection and diagnosis, prognosis prediction, treatment stratification, and radiogenomics. The limitations of current studies and methods are discussed, along with future directions. With better standardization and optimization of the workflow from image acquisition to analysis and with larger and especially prospective high-quality datasets, radiomics and deep learning methods could show real hope in the battle against pancreatic cancer through big data-based high-precision personalization.