Citations

ABSTRACT Purpose Abnormal restrictions at myofascial interfaces are a key factor in chronic low back pain (CLBP) with myofascial pain syndrome (MPS), but no established imaging method exists for quantitative assessment. This pilot study evaluated the clinical feasibility of MR elastography (MRE)‐based slip interface imaging (SII) for visualizing myofascial mobility in CLBP‐MPS patients versus age−/sex‐/BMI‐matched healthy participants. A new SII biomarker, maximal normalized displacement discontinuity (), was introduced, and the previously developed normalized octahedral shear strain (NOSS) map was used for comparison. Preliminary assessments of vibration‐frequency effects, repeatability, and group differences in inter‐muscular mobility were conducted. Methods MRE was conducted at 30, 60, and 90 Hz to compare with NOSS for visualizing inter‐muscular slip interfaces at the quadratus lumborum‐erector spinae (QL‐ES) and erector spinae‐multifidus (ES‐M) muscle boundaries at L3‐L4. Repeatability of and NOSS was assessed at 30 Hz (identified as the best‐performing frequency) using within‐subject coefficients of variation and a linear mixed‐effects model from within‐ and between‐day scans. Clinical feasibility was then assessed via Wilcoxon rank‐sum tests in six CLBP‐MPS patients and matched controls. Results at 30 Hz exhibited superior delineation of slip interfaces compared to higher frequencies and NOSS. demonstrated significantly lower variation and better repeatability than NOSS. Healthy participants showed continuous, well‐defined slip interfaces, whereas CLBP‐MPS patients displayed disrupted interfaces with significant mobility reduction at L4 ES‐M. Conclusion SII with lower vibration frequency and map enhances visualization of lower back myofascial mobility and shows potential for assessing differences between healthy individuals and CLBP‐MPS patients.

Abstract Disclosure: N.M. Singh Ospina: None. Y. Chen: None. F. Du: None. J.P. Brito: None. H. Shao: None. Q. Liu: None. R.G. McCoy: None. T. Jiao: None. Background: The levothyroxine dose for patients with hypothyroidism is highly correlated with weight. In patients with hypothyroidism, TSH measurements are used to assess the adequacy of levothyroxine dosing.Since type 2 diabetes (T2D) and obesity are two common comorbidities for patients with hypothyroidism, and the significant weight loss associated with Glucagon-Like Peptide-1 Receptor Agonists (GLP-1 RAs) therapy, the initiation of GLP-1 RA on levothyroxine users may significant increase the need for levothyroxine dose reduction potentially requiring additional TSH tests to assure control. Objectives: To evaluate the timing and frequency of TSH testing within one year of initiation of GLP-1, or sodium-glucose co-transporter 2 (SGLT-2) inhibitors, in patients with T2D on levothyroxine treatment. Methods: We identified a cohort of T2D patients using 15% of Medicare fee-for-service claims data from 2005 to 2020. Cohort entry was defined by the initiation of GLP-1 or SGLT2. Patients needed to continuously receive the same dose of levothyroxine for >6 months and have at least 1 TSH measurement before the index date. We excluded patients with hyperthyroidism, thyroid cancer, end-stage renal disease, HIV/AIDs, organ transplant, or who received medications that affect thyroid levels before the index date. The primary outcome was the timing and frequency of TSH testing within one year after GLP-1 RA initiation. Demographics, comorbidities, and medication use were balanced using 1:1 propensity score matching based on the index date. Results: After matching, no significant demographic differences were observed among the 2,107 patients in GLP-1 RA and SGLT-2 groups, respectively. Overall, 32.1%, 32.3%, and 35.6% were aged 65-70, 70-74, and over 75, with 69.3% female and 87.9% white. In the year before the index date, the average number of TSH tests was higher in the GLP-1 RA (1.16 ± 1.27) compared to the SGLT2 (1.07 ± 1.18, p-value: 0.001). In the year after the index date, the average number of TSH tests declined to 0.93 ± 1.18 for GLP-1 and 0.89 ± 1.13 for SGLT2 (p-value: 0.03). Most patients (48.6 vs. 49.5%) had no TSH tests, 41.3 vs. 40.6% had 1-2 tests, and 10.1 vs. 9.9% had more than 2 tests in the GLP-1 RA and SGLT-2 group, respectively. Fewer patients (32.3 vs. 33.6%) were tested within 0-6 months while the majority (67.7 vs. 66.5%) waited longer than 6 months. The relative risk of TSH testing between the GLP-1 RA group and the SGLT2 group was 1.03 (95% CI: 0.98 to 1.08) 1-year before the index date and 1.00 (95% CI: 0.94 to 1.06) 1-year after the index date. Conclusions: Despite the potential impact of GLP-1 RA on levothyroxine dosing, on average, half of patients did not receive a TSH test after treatment initiation. There were no significant differences in TSH testing patterns between GLP-1 and SGLT2 groups, with similar test frequencies and timing observed. Presentation: Saturday, July 12, 2025

Introduction The rapidly growing population of older adults (individuals aged 65 years and older) presents a new set of challenges for healthcare providers in the emergency department (ED), given the prevalence of severe and life-threatening conditions among this group, such as chronic cancer, Alzheimer’s disease/dementia and congestive heart failure. ED encounters often represent a critical point in an older patient’s trajectory of care and can thus be an important opportunity for various interventions such as palliative care consultation. Therefore, identifying those who will benefit most from palliative care is of high importance, especially in determining the course of future treatment. Thus, we aim to conduct a systematic review assessing the efficacy of palliative care screening in the ED by assessing inpatient length of stay as the primary outcome and quality of life, percentage of hospitalisation and cost of care as secondary outcomes. Methods This study will use Ovid MEDLINE, Embase, EBSCO CINAHL, Web of Science and Cochrane as databases. The study population comprises adults aged 60 years and older, with no focus on any specific clinical specialty or disease. Patients who have not received palliative care screening will serve as the comparator. Only studies with an applicable comparator will be considered. Studies published from 1 January 2000 to 1 July 2025 will be included. All articles will be reviewed independently and in duplicate, and every author will participate in the review, data abstraction and conflict resolution process. Ethics and dissemination Ethical approval is not required as it is a protocol for a systematic review. Findings will be disseminated through peer-reviewed publications and conference presentations. PROSPERO registration number CRD42024562389.

Background: Gastric cancer remains one of the leading causes of death globally and a major health concern. This study aims to analyze gastric cancer-related mortality trends over 2 decades. Methods: The CDC WONDER database was used to analyze and stratify de-identified death certificates from 1999 to 2022 across the United States. Trends in age-adjusted mortality rates (AAMR) were assessed using the Joinpoint Regression Program to determine annual percentage changes. Results: Overall, AAMR decreased from 79.26 in 1999 to 44.81 in 2022. Men and older adults had the highest AAMRs. Non-Hispanic (NH) Black or African Americans had the highest AAMR, while NH Whites had the lowest. Geographically, the Northeast had the highest AAMR, and metropolitan areas had higher AAMRs than nonmetropolitan areas. Conclusion: Gastric carcinoma has a poor prognosis, and although the general trend is decreasing across all sociodemographic areas, further research is required for targeted interventions and health policies for high-risk populations.

Abstract Background Lung adenocarcinoma in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve lung adenocarcinoma risk prediction. Methods PRSs were developed using genome-wide association study summary statistics from East Asian (8002 cases; 20 782 controls) and European (2058 cases; 5575 controls) populations. Single-ancestry models included a PRS with 25 single nucleotide variants (PRS-25), PRS clumping and thresholding (CT), and LDpred2; multi-ancestry models included LDpred2 plus European PRS-128, PRS-CSx, and clumping and thresholding, super learning, empirical Bayes (CT-SLEB). Performance was evaluated in independent East Asian data from the Female Lung Cancer Consortium and externally validated in the Nanjing Lung Cancer Cohort. We assessed predictive accuracy via area under the curve operating procedure (AUC), with 10-year and (ages 30-80 years) absolute risks estimates. Results The best multi-ancestry PRS, using East Asian and European data via CT-SLEB, outperformed the best East Asian-only (LDpred2; AUC = 0.629, 95% confidence interval [CI] = 0.618 to 0.641), achieving an AUC of 0.640 (95% CI = 0.629 to 0.653) and odds ratio of 1.71 (95% CI = 1.61 to 1.82) per standard deviation increase. Nanjing Lung Cancer Cohort validation confirmed robust performance (AUC = 0.649, 95% CI = 0.623 to 0.676). The top 20% PRS group had a 3.92-fold higher lung adenocarcinoma risk than the bottom 20%. Further, the top 5% PRS group reached a 6.69% lifetime absolute risk. Notably, this group reached the average population 10-year lung adenocarcinoma risk at age 50 years (0.42%) by age 41 years, 9 years earlier. Conclusions Multi-ancestry PRS approaches enhance lung adenocarcinoma risk stratification in East Asian never-smokers, with consistent external validation, suggesting future clinical utility.

Objective Closed-source large language models (LLMs) like generative pre-trained transformer 4o (GPT-4o) have shown promise for clinical information extraction but are potentially limited by cost, data security concerns and inflexibility. Open-source models are an attractive alternative with various adaptation strategies with no consensus on best practices. This study aims to rigorously identify optimal adaptation strategies for open-source models and evaluate their performance relative to closed-source alternatives. Methods and Analysis We studied three LLM adaptation strategies: chain-of-thought prompting, few-shot prompting and fine-tuning. Our target for information extraction was the Mayo Endoscopic Subscore (MES). We applied those strategies in all combinations to six open-source models (8–70 billion parameters) using an annotated set of colonoscopy procedure reports from the University of California, San Francisco (N=608) and San Francisco General Hospital (N=217). We analysed the relationship of these strategies to several performance metrics with a mixed-effects model, accounting for the variability between centres and LLMs. GPT-4o served as a closed-source oracle and provided in-depth commentary on the cost-effectiveness of these options. Results Quantised low-rank adaptation (QLoRA) statistically improves ( p §amp;lt; 0.001 ) ) the performance of open-source LLMs by 9.1–15.7 percentage points across accuracy, precision recall and annotation eligibility accuracy. However, GPT-4o with prompt engineering outperforms the best open-source model by 4.9%–11.2%. A simple cost-effectiveness analysis suggests that GPT-4o is more affordable compared with open-source alternatives. Conclusion GPT-4o is currently the most efficient LLM for MES extraction. If unavailable, QLoRA-optimised open-source models are a competitive alternative. However, results also suggest that current instruction-following LLMs including GPT-4o do not fully follow user-provided instructions, leaving room for improvement. More work is needed to achieve consistent, near-perfect performance in clinical information extraction by LLMs.

Background Sex affects the prevalence of atherosclerotic cardiovascular disease (ASCVD) risk factors but whether sex differences exist in the associations between ASCVD risk burden and cognitive function is unclear. Methods This cross‐sectional study included participants from a population‐based cohort study in China that recruited community‐dwelling adults aged 50 to 75 years without baseline cardiovascular disease and stroke. The 10‐year ASCVD risk burden was quantified with 3 multivariate risk prediction equations. Cognitive domains of memory, attention, visuospatial function, executive function, and processing speed were assessed. Multivariable linear regression models were used to examine the interaction terms between sex and ASCVD risk scores on cognition. Results The final analytical sample included 2180 participants. Mean±SD age was 60.14 (6.38) and 52.1% were women. Men showed significantly higher ASCVD risk burden than women at baseline but the effect of ASCVD risk on 2‐year cognition were amplified in women compared with men, for the domains of memory (eg, β=−0.20 [95% CI, –0.26 to −0.13] versus β=−0.11 [95% CI, –0.16 to −0.07]), executive function (eg, β=−0.23 [95% CI, –0.31 to −0.16] versus β=−0.16 [95% CI, –0.21 to −0.10]), and processing speed (eg, β=−0.33 [95% CI, –0.39 to −0.27] versus β=−0.17 [95% CI, –0.21 to −0.13]). Sex‐stratified analyses showed different neuropsychological profiles at moderate ASCVD risk burden levels, suggesting sex‐specific ASCVD‐risk related cognitive phenotypes. Conclusions Sex differences in cognitive health affected by ASCVD risk underscore the importance of sex‐specific cognitive monitoring during ASCVD risk management and better vascular risk control in women to prevent cognitive decline.

Background Delirium is a state of acute brain failure causing confusion, reduced focus, and changes in alertness. It is common in older patients, occurring in 6-38% of older emergency department (ED) patients. Evidence suggests that systematic screening improves detection rates and early detection, management and reporting are critical. However, examples of operationalizing this in clinical non-research care are scarce. Objective To describe and disseminate examples of best practices for delirium screening, management, and monitoring within the ED. Methods A group of emergency physicians interested in geriatric emergency medicine (GEM) and evidence-based medicine gathered monthly to discuss ways of implementing delirium care. Members were asked to submit any electronic health record (EHR)-based interventions for delirium in current use at their institutions. One group member categorized the EHR tools by their use for screening, prevention, management, and monitoring of delirium. As a group, categorizations were reviewed and agreed upon and similarities, differences and themes were identified. Results Current EHR interventions from 5 EDs were included. We found that: 1) Screening for delirium in EDs is challenging due to the nature of the environment and the variety of tools available. 2) Prevention tools included order sets. 3) Management was accomplished with best practice alerts and order sets to help screen, prevent, address underlying causes, and manage agitation. Delirium prevention order sets emphasize optimizing patient mobility, comfort, and communication. Assessment order sets include routine labs and consultations, while management order sets for agitation provide safe medication options considering older adults’ unique physiology. 4) Utilizing dashboards for compliance monitoring offers real-time feedback, and provides an overview of adherence to clinical guidelines, regulatory standards, and patient safety protocols. Conclusion These real-world examples can be used in EDs implementing delirium programs. Further studies on how EHR interventions impact screening, diagnosis, and treatment of delirium in the ED are needed.