Citations

OBJECTIVE Despite the use of multiple glucose-lowering medications, glycemic targets are not met in a significant fraction of people with type 2 diabetes. In this prospective, observational study we assessed the prevalence of hypercortisolism, a potential contributing factor to inadequate glucose control. RESEARCH DESIGN AND METHODS Individuals with type 2 diabetes and HbA1c 7.5%–11.5% (58–102 mmol/mol) on two or more glucose-lowering medications with or without micro-/macrovascular complications or taking multiple blood pressure–lowering medications were screened with a 1-mg dexamethasone suppression test. Common causes of false-positive DSTs were excluded. The primary end point was the prevalence of hypercortisolism, defined as post-DST cortisol >1.8 μg/dL (50 nmol/L). Characteristics associated with hypercortisolism were assessed with multiple logistic regression. The percentage and characteristics of participants with hypercortisolism and adrenal imaging abnormalities were also assessed. RESULTS Post-DST cortisol was unsuppressed in 252 of 1,057 participants (prevalence 23.8%; 95% CI 21.3, 26.5). Hypercortisolism prevalence was 33.3% among participants with cardiac disorders and 36.6% among those taking three or more blood pressure–lowering medications. Adrenal imaging abnormalities were reported in 34.7% of participants with hypercortisolism. Use of sodium–glucose cotransporter 2 inhibitors (odds ratio 1.558), maximum-dose glucagon-like peptide 1 receptor agonists (1.544), tirzepatide (1.981), or a higher number of blood pressure–lowering medications (1.390); older age (1.316); BMI <30 kg/m2 (1.639); non-Latino/Hispanic ethnicity (3.718); and use of fibrates (2.676) or analgesics (1.457) were associated with higher prevalence (all P < 0.03). CONCLUSIONS Hypercortisolism was associated with hyperglycemia in approximately one-quarter of individuals with inadequately controlled type 2 diabetes despite multiple medications.

AbstractINTRODUCTIONIdentifying individuals with dementia is crucial for prevalence estimation and service planning, but reliable, scalable methods are lacking. We developed novel set algorithms using both structured and unstructured electronic health record (EHR) data, applying Diagnostic and Statistical Manual of Mental Disorders criteria for dementia case identification.METHODSOur cohort (n = 1082) included individuals aged ≥ 60 with dementia identified through specialist clinics and a comparison group without dementia. Clinicians from Australia and the United States informed predictor selection. We developed algorithms through a biostatistics stream for structured data and a natural language processing (NLP) stream for text, synthesizing results via logistic regression.RESULTSThe final structured model retained 16 variables (area under the receiver operating characteristic curve [AUC] 0.853, specificity 72.2%, sensitivity 80.6%). NLP classifiers (logistic regression, support vector machine, and random forest models) performed comparably. The final, combined model outperformed all others (AUC = 0.951, P < 0.001 for comparison to structured model).DISCUSSIONEmbedding text‐derived insights within algorithms trained on structured medical data significantly enhances dementia identification capacity.Highlights Algorithmic tools for detection of individuals with dementia are available; however, previous work has used heterogeneous case definitions which are not clinically meaningful, and has relied on proxies such as diagnostic codes or medications for case ascertainment. We used a novel, dual‐stream algorithmic development approach, simultaneously and separately modeling a clinically meaningful outcome (diagnosis of dementia according to specialized clinical impression) using structured and unstructured electronic health record datasets. Our clinically grounded case definition supported the inclusion of key structured variables (such as dementia International Classification of Disease codes and medications) as modeling predictors rather than outcomes. Our algorithms, published in detail to support validation and replication, represent a major step forward in the use of routinely collected data for detection of diagnosed dementia.

PURPOSE Several lines of treatment can be used sequentially in patients with metastatic colorectal cancer. We investigated the evolution of patient/tumor characteristics and their prognostic impact across treatment lines to develop an overall prognostic score (OPS). PATIENTS AND METHODS Individual patient data from 48 randomized trials were analyzed. The end point was overall survival (from random assignment to death). Missing data were imputed. The complete data set was then separated into construction (80%) and validation sets (20%). The Cox's model was used to define risk groups for survival using the OPS. The discrimination capability was assessed in each treatment-line via bootstrapping to obtain optimism-corrected calibration and discrimination C-indices. Internal validation was done in the validation set. RESULTS A total of 37,560 patients (26,974 in first-line [1L], 7,693 in second-line [2L], and 2,893 in third-line [3L]) were analyzed. Some clinical, biological, and molecular characteristics of patients/tumors included in therapeutic trials evolve over the lines. Seven independent prognostic variables were retained in the final multivariate model common to all lines: Eastern Cooperative Oncology Group performance status, hemoglobin, platelet count, WBC/absolute neutrophil count ratio, lactate dehydrogenase, alkaline phosphatase, and the number of metastatic sites. The OPS was used to define four patient subgroups with significantly different prognoses in 1L, 2L, and 3L, separately, with adequate C-indices: 0.65, 0.66, and 0.69 in the construction set and 0.65, 0.66, and 0.68 in the validation set, respectively. The OPS was not predictive, with 3L drugs ( v placebo) or subsequent line (2L/1L or 3L/2L) extending survival in all prognostic groups. CONCLUSION The same prognostic model using practical variables can be used before all treatment lines. The OPS could better stratify patients in future clinical trials and help to therapeutic decision in routine practice.

Abstract Porous nanofibrous microspheres (PNMs) present a versatile and minimally invasive strategy for tissue regeneration, combining biomimetic morphology, tunable structure, and injectability. While self‐assembly and co‐axial electrospray are explored for PNM fabrication, these methods are limited in compositional versatility and production scalability. Here, a 3D‐printed microfluidic platform is presented that enables large‐scale fabrication of PNMs with precise control over size, pore architecture, and morphology. PNMs can be functionalized with bioactive molecules through UV crosslinking, enhancing their regenerative potential by promoting osteogenesis in human bone marrow stromal cells (hBMSCs), angiogenesis in human umbilical vein endothelial cells (HUVECs), and exerting anti‐inflammatory effects on macrophages. Subcutaneous implantation in rats demonstrates that PNMs support cell infiltration, minimize fibrosis, and facilitate tissue integration, achieving complete cell penetration and tissue incorporation within 14 days. These findings establish PNMs as versatile, scalable, and customizable platforms, ideal for applications as injectable drugs or cell carriers, as well as powders, offering promising solutions for wound healing and tissue regeneration.

Engaging employees in providing exemplary patient experience has been challenging for healthcare leaders in recent years given the pressures of the regulatory environment, increases in staff burnout and rising patient expectations. Amid these challenges, addressing patient experience remains a top priority for healthcare organizations. A novel intervention has been applied at Mayo Clinic with the goal of improving both employee engagement and patient experience. Previous efforts to teach service excellence involved customer service trainings, sometimes purchased through outside vendors. This new initiative is based on our organizational culture and values, input from our employees and patients, and considers the changing needs of a contemporary healthcare workforce. It leverages management practices shown to boost an employee's sense of equity, achievement, and camaraderie. It also highlights staff motivation to do their best work by involving them in conversations about the essential ingredients that make up both exceptional employee and patient experiences.

Abstract Background: Effective treatments (Tx) are needed for MTAP-del cancers (10-15% of all cancers). BMS-986504 (formerly MRTX1719) is a potential first-in-class MTA-cooperative protein arginine methyltransferase 5 (PRMT5) inhibitor that selectively binds to the PRMT5-MTA complex, a synthetic lethal target in MTAP-del but not MTAP-wild-type cells. In the first-in-human phase 1/2 CA240-0007 study, BMS-986504 was well tolerated and showed clinical activity in heavily pretreated pts across multiple advanced solid tumors with homozygous MTAP-del. Here, we report results of exploratory PD analyses of PRMT5 inhibition with BMS-986504 in CA240-0007. Methods: Pts with advanced, unresectable or metastatic solid tumors with homozygous MTAP-del received BMS-986504 (50 to 800 mg) in 3-wk cycles. Symmetric dimethylarginine (SDMA) and intron retention are known PD BMs of PRMT5 inhibition. Therefore, PD effects of BMS-986504 were assessed via changes in plasma and tumor SDMA levels (mass spec and IHC), intron retention, and gene expression (RNASeq) based on samples collected at baseline (BL) and cycle 2 day 1 (C2D1). Additional analyses correlating efficacy outcomes with PD results and select mutations at BL were performed in clinically evaluable pts as of 19-SEP-24. Results: Robust PD modulation of the PRMT5 pathway was observed with BMS-986504. Among pts with matched samples (n = 63), median plasma SDMA levels were reduced by 56% from BL (122.6 ng/mL) to C2D1 (53.8 ng/mL). There were dose-dependent reductions in median plasma SDMA with the greatest reductions at 400 mg QD (59.7% [n = 20]), 400 mg BID (61.9% [n = 9]) and 600 mg QD (59.1% [n = 14]). These PD effects were corroborated in the tumor. Median tumor SDMA levels decreased from an HScore of 285 at BL to 0 at C2D1. Consistent with the SDMA decreases, increased intron retention was observed in 9/11 pts with matched samples. BMS-986504 led to downregulation of several gene pathways including DNA repair and mitotic spindle formation, and MYC and E2F targets, as assessed by RNASeq. There was no significant change in expression of MAT2A, PRMT5, or other PRMT genes, suggesting a lack of compensation for PRMT5 inhibition through these genes. Responses were observed with BMS-986504 across EGFR, KRAS, and TP53 mutation subgroups. Additional correlative analyses among BMs and efficacy outcomes will be presented. Conclusions: BMS-986504 demonstrated robust PD effects across multiple doses and solid tumors which is consistent with the proposed mechanism of action. There was a trend of increasing plasma SDMA reduction across doses, with the greatest reductions observed at 400 mg QD and above. Together these results support further investigation of BMS-986504 at 400 mg QD and higher doses as a potential first-in-class synthetic lethal Tx option in pts with advanced solid tumors with MTAP-del. Citation Format: Jordi Rodón, Tyler Simpson, Ben George, Pasi A. Jänne, Kathryn C. Arbour, Konstantinos Leventakos, Kyriakos P. Papadopoulos, Melissa L. Johnson, Alexander I. Spira, Cesar A. Perez, Hani M. Babiker, Richard Zuniga, Candace L. Haddox, Tapsi Kumar, Yidi Qin, Wen-Chi Chou, Peter Olson, Kenna Anderes, Alice Wozniak, Curtis Chin, Ming Lei, Jason T. Henry. Pharmacodynamic (PD) and exploratory biomarker (BM) analysis of the PRMT5 inhibitor BMS-986504 in patients (pts) with advanced solid tumors with homozygous MTAP deletion (MTAP-del) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr CT079.