Citations

Abstract Objective The objective of this study is to identify social/metabolic risk factors associated with subsequent diagnosis of adrenal adenoma Design The design is a population-based historical case–control study. Methods Cases were adult patients diagnosed with an adrenal adenoma between 2005 and 2017 with no overt hormone excess. Controls were age- and sex-matched individuals with (1) no diagnosis of adrenal adenoma and (2) no diagnosis of adrenal adenoma with cross-sectional imaging of the chest/abdomen performed within 5 years prior to index date. The frequency of various social/metabolic risk factors present 5-10 years prior to index date and odds ratios (ORs) for adrenal adenoma diagnosis were reported. Results Six hundred seventy cases identified (median age 63 years old, 56% women). During the 5-10 years prior to index date, patients with adrenal adenomas had higher prevalence of obesity (56.7% vs 49.3%, P = .007), low socioeconomic status (36.7% vs 31.1%, P = .039), tobacco use (70.2% vs 61.4%, P = .001), and diabetes (17.5% vs 11.7%, P = .003) compared to controls with prior imaging. No difference in prevalence of hypertension, substance use, chronic kidney disease, or combined cardiovascular events was observed. Based on a multivariable analysis, increased body mass index (BMI) and tobacco use were associated with increased odds of adrenal adenoma diagnosis with ORs 1.18 (95% confidence interval [CI] 1.07-1.32) and 1.41 (95% CI 1.06-1.87), respectively. Conclusions Compared to controls with prior imaging, patients with adrenal adenoma had higher prevalence of obesity, low socioeconomic status, tobacco use, and diabetes 5-10 years prior to index date. In particular, increased BMI and tobacco use were independent risk factors associated with increased odds of adrenal adenoma diagnosis.

Abstract Context Patients with endogenous hypercortisolism experience glucocorticoid withdrawal syndrome (GWS) after surgery. Meditation may be an effective intervention to alleviate the severity of GWS. Objective To determine the acceptability of a portable, wearable electroencephalography device for guided meditation (MUSE headband) and the impact of MUSE use on GWS and quality of life 12 weeks postsurgery. Methods We conducted a single-center prospective cohort study of adults with endogenous hypercortisolism undergoing curative surgery from 2019 to 2024. Patients had baseline and postsurgical assessments over 12 weeks. The study comprised patients using MUSE for ≥ 6 weeks (MUSE cohort) and patients matched by age, sex, BMI, hypercortisolism type, and glucocorticoid type at 1:4 ratio. Quality of life and GWS symptoms were assessed with AddiQoL, CushingQoL, and 36-item Short Form Health Survey mental and physical component (SF-36 MCS and PCS) questionnaires. Results MUSE was offered to 52 patients, and 22 (42%) used MUSE for ≥ 6 weeks within 12 weeks after surgery. At baseline, compared to 88 matched subjects, 22 MUSE participants demonstrated similar prevalence of comorbidities and clinical and biochemical hypercortisolism severity, but lower AddiQoL (mean 73 vs 66, P = .031) and SF-36 MCS (mean 39 vs 33, P = .022). At 12 weeks, these differences in quality of life were no longer present. After adjusting for age, sex, BMI, clinical severity score, and baseline quality of life, MUSE use was an independent predictor of improved SF-36 PCS at 12 weeks postsurgery (beta 4.2, 95% CI: 0.5-7.9, P = .026). Conclusion Postsurgical meditation intervention may improve physical symptoms and accelerate recovery.

OBJECTIVE Patients with growth hormone (GH)–secreting pituitary adenomas (PAs) experience various symptoms and comorbidities, which can ultimately lead to increased mortality. This study aimed to develop and validate a machine learning (ML) model for predicting long-term outcomes in patients with GH-secreting PAs following endonasal transsphenoidal surgery (ETS). METHODS The authors conducted a retrospective three-institution cohort study that included patients with GH-secreting PAs treated with ETS between 2013 and 2023. Clinical, radiological, and biochemical data were collected. The main outcome of interest was the intervention-free rate (IFR) after primary ETS. Supervised ML algorithms, including decision trees and random forests, were developed to predict the IFR. Model performance was evaluated using area under the receiver operating characteristic curve (AUROC) and Shapley Additive Explanations (SHAP) values. RESULTS The median follow-up for 100 patients with GH-secreting PAs (53% female) was 64 months (range 1–130 months). Additional intervention for persistent or recurrent acromegaly was required in 32% of patients. Following primary ETS alone, the 3-year IFR was 70% and the 5-year IFR was 67%. Multiple ML models were developed and evaluated using AUROCs. The decision tree analysis achieved an accuracy of 81% and emphasized the importance of both gross-total resection (GTR) and patient age in determining the long-term IFR. To better understand the factors that contributed to model performance, SHAP analysis was applied to the best-performing model. The SHAP dependence plots showed that key factors associated with a longer IFR included tumor size < 9 mm, GTR, patient age > 65 years, and Knosp grade 0. CONCLUSIONS This ML model offers a more nuanced and potentially more accurate approach to identify patients more likely to develop recurrent or persistent acromegaly following primary ETS and require additional treatment. Following external validation, this ML model could improve personalized treatment planning and follow-up strategies and enhance patient care and resource allocation in clinical practice.

Background: In the emergency setting, many diagnostic pathways incorporate change in high-sensitivity cardiac troponin (hs-cTn) concentrations (i.e., the delta) to classify patients as low-risk (rule-out) or high-risk (rule-in) for possible myocardial infarction (MI). However, the impact of analytical variation on the delta for correct classification is unknown, especially at concentrations below and around the 99th percentile. Our objective was to assess the impact of delta variation for correct risk classification across the European Society of Cardiology (ESC 0/1 h and 0/2 h), the High-STEACS, and the common change criteria (3C) pathways. Methods: A yearlong accuracy study for hs-cTnT was performed where laboratories across Canada tested three patient-based samples (level 1 target value = 6 ng/L, level 2 target value = 9 ng/L, level 3 target value = 12 ng/L) monthly across 41 different analyzers. The assigned low-delta between levels 1 and 2 was 3 ng/L (i.e., 9 − 6 = 3 ng/L) and the assigned high-delta between levels 1 and 3 was 6 ng/L (i.e., 12 − 6 = 6 ng/L). The low- and high-deltas for each analyzer were determined monthly from the measured values, with the difference calculated from the assigned deltas. The obtained deltas were then assessed via the different pathways on correct classification (i.e., percent correct with 95% confidence intervals, CI) and using non-parametric analyses. Results: The median (interquartile range) difference between the measured versus assigned low-delta (n = 436) and high-delta (n = 439) was −1 ng/L (−1 to 0). The correct classification differed among the pathways. The ESC 0/1 h pathway yielded the lowest percentage of correct classification at 35.3% (95% CI: 30.8 to 40.0) for the low-delta and 90.0% (95% CI: 86.8 to 92.6) for the high-delta. The 3C and ESC 0/2 h pathways yielded higher and equivalent estimates on correct classification: 95.2% (95% CI: 92.7 to 97.0) for the low-delta and 98.2% (95% CI: 96.4 to 99.2) for the high-delta. The High-STEACS pathway yielded 99.5% (95% CI: 98.4 to 99.9) of correct classifications for the high-delta but only 36.2% (95% CI: 31.7 to 40.9) for the low-delta. Conclusions: Analytical variation will impact risk classification for MI when using hs-cTn deltas alone per the pathways. The 3C and ESC 0/2 h pathways have <5% misclassification when using deltas for hs-cTnT in this dataset. Additional studies with different hs-cTnI assays at concentrations below and near the 99th percentile are warranted to confirm these findings.

OBJECTIVE In many individuals, type 2 diabetes (T2D) remains poorly controlled despite taking multiple glucose-lowering therapies. Several studies have demonstrated that endogenous hypercortisolism is prevalent among these individuals. We tested whether cortisol-directed therapy improves their glycemic control. RESEARCH DESIGN AND METHODS In this prospective, multicenter, double-blind study, 136 individuals with T2D (hemoglobin A1c [HbA1c] 7.5%–11.5% [58–102 mmol/mol] on multiple medications) and hypercortisolism (by dexamethasone suppression test) were randomized 2:1 to the glucocorticoid receptor antagonist mifepristone (300–900 mg once daily; n = 91) or placebo (n = 45) for 24 weeks, with stratification by presence/absence of an adrenal imaging abnormality. The primary end point was the change in HbA1c. Secondary end points included changes in glucose-lowering medications, weight, and waist circumference and safety. RESULTS Mean baseline HbA1c in the study cohort was 8.55% (69.9 mmol/mol). At 24 weeks, the least squares mean (LSM) difference from placebo in HbA1c was −1.32% (95% CI −1.81 to −0.83; P &lt; 0.001). Participants receiving mifepristone experienced reductions in body weight and waist circumference (placebo-adjusted LSM differences of −5.12 kg [95% CI −8.20 to −2.03] and −5.1 cm [−8.23 to −1.99], respectively). Of participants on mifepristone, 46% discontinued therapy, compared with 18% on placebo. Adverse events with mifepristone (&gt;10% of participants) included hypokalemia, fatigue, nausea, vomiting, headache, peripheral edema, diarrhea, and dizziness, consistent with mifepristone’s known tolerability profile. Increases in blood pressure also occurred. CONCLUSIONS In individuals with inadequately controlled T2D and hypercortisolism, cortisol-directed medical therapy with mifepristone reduced HbA1c, with a manageable tolerability profile.

ABSTRACT Although animal studies have linked cellular senescence to the pathogenesis and complications of type 2 diabetes mellitus (T2DM), there is a paucity of corroborating data in humans. Thus, we measured a previously validated marker for senescent cell burden in humans, T‐cell expression of p16 mRNA, along with additional biomarkers, to compare the senescence phenotypes of postmenopausal control (lean, N = 37) and T2DM ( N = 27) participants. To control for effects of obesity alone, we included a third group of obese but non‐diabetic women ( N = 29) who were matched for body mass index to the T2DM participants. In addition, given the increase in fracture risk in T2DM despite preserved or even increased bone mineral density, we related these senescence biomarkers in the T2DM participants to skeletal microarchitectural parameters. Relative to the lean participants, T‐cell p16 and p21 Cip1 expression was increased in the T2DM, but not the obese, non‐diabetic participants. Expression of p16 and p21 Cip1 was positively associated with HbA1c and an index of skin advanced glycation end‐products. T2DM was also associated with an increase in a number of SASP factors. Among participants with T2DM, women in the highest tertile for T‐cell expression of p16 had significantly reduced tibial cortical area and thickness as compared to those in the lower two tertiles. Overall, our studies link cellular senescence to metabolic and skeletal alterations in T2DM and point to the need for further studies evaluating the role of cellular senescence in mediating skeletal fragility, as well as potentially other complications in T2DM.

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 &gt;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 &lt;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 &lt; 0.03). CONCLUSIONS Hypercortisolism was associated with hyperglycemia in approximately one-quarter of individuals with inadequately controlled type 2 diabetes despite multiple medications.

Abstract Objective Glucocorticoid withdrawal syndrome (GWS) may develop in patients following successful surgery for endogenous hypercortisolism. Effective strategies to minimize GWS and improve quality of life (QoL) are currently lacking. We aimed to determine the impact of hydrocortisone vs prednisone therapy on GWS and QoL during the first 12 weeks postsurgery. Methods Single-center prospective cohort study (2019-2024) of adults with endogenous hypercortisolism who developed postoperative adrenal insufficiency and treated with either prednisone or hydrocortisone. Quality of life was assessed with Short Form-36 (SF-36) and Cushing QoL questionnaires at baseline and at 12 weeks postsurgery. GWS was assessed using weekly AddiQoL questionnaires for the first 12 weeks postsurgery. Results Of 165 patients, 101 (61%) were treated with hydrocortisone and 64 (39%) with prednisone. At baseline, no group differences were found in the hypercortisolism subtype, comorbidities, or QoL assessments. At follow-up, no group differences in final total daily hydrocortisone equivalent dose were seen. When adjusting for the baseline QoL assessment, patients treated with prednisone demonstrated a higher degree of improvement in their QoL, particularly in the SF-36 mental component score (estimate 0.33, 95% CI, 0.04-0.63), SF-36 role-emotional limitation (estimate 0.52, 95% CI, 0.2-0.84), and SF-36 body pain (estimate 0.31, 95% CI, 0.07-0.56) subcomponents. In the multivariable analysis of age, sex, body mass index, glucocorticoid type, baseline clinical severity score, and baseline QoL assessment, prednisone therapy was an independent predictor of better SF-36 mental component at 12 weeks postsurgery. Conclusions Prednisone therapy was associated with better mental health QoL than hydrocortisone at 12 weeks postsurgery in patients with hypercortisolism.

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths in the U.S. mainly because of late-stage diagnosis. Heritable genetic information can improve risk stratification for individuals with moderate to high-risk of PDAC for targeted screening and early detection. We aimed to develop an enhanced polygenic risk score (PRS) for PDAC using a Bayesian approach, LDpred2, that reweights risk estimates attributed to millions of polymorphisms (SNPs) estimated from genome-wide association studies (GWASs). We then compared the performance of LDpred2 with the commonly used genetic risk score (GRS) approach that is based only on genome-wide significant SNPs. Methods: GWAS summary statistics were obtained from the Pancreatic Cancer Cohort Consortium and the Pancreatic Cancer Case Control Consortium for 9040 cases and 12496 controls and were used to compute weights for a GRS (17 SNPs) using a p-value threshold of 5e-8 and weights for an enhanced PRS (1.3 million SNPs) using LDpred2. These weights were then used to compute risk scores in an independent validation sample of 2616 cases and 45407 controls from the Mayo Clinic. We used logistic regression to test for associations of the GRS and PRS with PDAC risk, adjusting for age, sex, and the first 10 principal components of ancestry. Results: The validation sample was of mostly European ancestries (&gt;95%). Cases were slightly older than controls (median age: 66 yrs. vs. 63 yrs.) and had a higher frequency of men than controls (57% vs. 42%). Comparisons between the GRS and the PRS are shown in Table 1. DeLong’s test comparing the AUCs between the two genetic scores showed the PRS significantly outperformed the GRS (AUC = 0.68 vs. 0.67; p = 7.6e-7). Conclusions: The LDpred2 PRS model that used a larger set of SNPs significantly improved prediction of PDAC. Comparing the top percentile of the PRS versus the rest showed that the PRS is a clinically significant risk score (OR &gt; 3) for PDAC and could inform clinical decision making and genetic counseling of individuals identified as having a high risk of PDAC. Citation Format: Samuel O. Antwi, Brandon J. Coombes, Nicholas B. Larson, Erin E. Carlson, Kari G. Rabe, Hunter J. Atkinson, Shounak Majumder, Jun Zhong, David McKean, Pancreatic Cancer Cohort & Case Control Consortia (PanScan and PanC4), Brian M. Wolpin, Rachael Z. Stolzenberg-Solomon, Alison P. Klein, Laufey T. Amundadottir, Ann L. Oberg. Enhanced polygenic risk score for pancreatic cancer [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 LB331.

ABSTRACTPatients with vascular anomalies (VAs) require expert multidisciplinary care. No prior studies have characterized the sociodemographic characteristics across multiple VA centers. We collected data on 5783 patients receiving care at 20 VA centers between July 1, 2020 through December 31, 2022. Male patients were underrepresented compared to the state‐level census data at 17/20 centers. Black and Asian patients were underrepresented at 14/20 and 12/20 centers, respectively. The median distance to the hospital was 48 miles, and median age was 12.0 years. These data suggest that race, sex, age, and distance from the hospital could impede the ability to access expert VA care.