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Objective: Patients with chronic pancreatitis commonly experience abdominal pain, anxiety, depression, reduced mobility, and difficulty performing daily activities or maintaining employment. These factors contribute to diminished quality-of-life and high healthcare utilization. This study aims to explore the relationship between specific quality-of-life domains among patients with chronic pancreatitis. Methods: A 55-item online survey was administered to patients with the diagnosis of chronic pancreatitis at 3 Mayo Clinic sites from December 26, 2023, to December 26, 2024. The survey included validated questions assessing demographic, clinical, and quality-of-life metrics using EuroQol 5-Dimension 5-Level instrument—a standardized assessment tool that evaluates 5 key health dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Results: Of the 298 patients with chronic pancreatitis who completed the survey, employed patients had decreased odds of reporting problems with mobility (odds ratio [OR] = 0.45, P < .05), self-care (OR = 0.26, P < .01), usual activities (OR = 0.47, P < .05), and anxiety/depression (OR = 0.41, P < .05). Similarly, older patients had decreased odds of reporting problems with self-care (OR = 0.91, P < .01), usual activities (OR = 0.96, P < .01), pain/discomfort (OR = 0.96, P < .01) and anxiety/depression (OR = 0.92, P < .01). However, Medicare patients had greater odds of reporting problems with self-care (OR = 5.54, P < .01) and pain/discomfort (OR = 2.58, P < .05). Conclusions: Chronic pancreatitis impacts multiple dimensions of quality-of-life beyond pain. The EuroQol 5-Dimension 5-Level tool enables comprehensive assessment of physical and mental health. Our findings highlight key associations between patient characteristics and quality-of-life domains, supporting the need for individualized, deficit-targeted interventions. These results also suggest a potential role for vocational rehabilitation in promoting functional recovery and enhancing overall well-being in individuals with chronic pancreatitis.

Abstract Purpose Overuse of thyroid ultrasound (TUS) has contributed to rising thyroid cancer diagnoses and is projected to increase US healthcare costs from $1.5 billion to $3.5 billion by 2030. This study evaluated the healthcare cost of inappropriately ordered TUS in a national multicenter academic system. Methods This is a secondary cost analysis of a retrospective cohort study across 4 Mayo Clinic sites (Rochester, MN; Jacksonville, FL; Scottsdale, AZ; and the Midwest Mayo Clinic Health System). Adult patients (≥18 years) undergoing their first TUS between January 1, 2017, and December 31, 2021, with at least 1 year of follow-up were included. TUS indications were classified as appropriate or inappropriate using a guideline-based natural language processing algorithm. The primary outcome was a comparison of adjusted 1-year all-cause healthcare costs. A secondary analysis calculated the direct procedural costs of the inappropriate TUS cascade. Results Among 6984 patients (mean age 56 [SD 16.4]; 76.2% female; 90.9% White), 546 (7.8%) underwent TUS for inappropriate indications. These patients were younger (mean age 53.0 vs 56.3 years, P &lt; .0001) but otherwise demographically similar. Adjusted total healthcare costs over 90 days and 1 year were comparable: $4842 vs $5794 and $13 748 vs $14 257 for inappropriate vs appropriate TUS, respectively. The inappropriate TUS cascade, including an estimated 56 subsequent biopsies and 22 thyroidectomies, resulted in a minimum of $576 134 in direct procedural costs. Conclusion While adjusted total costs were similar, inappropriate TUS represents potentially avoidable spending and remains a viable target for cost-reduction strategies. Reducing low-value imaging remains a critical target for cost-saving interventions.

Background: Ischemia–reperfusion injury (IRI) is a major contributor to acute kidney injury (AKI). While the precise mechanisms of AKI are still incompletely defined, extensive evidence highlights tubular cell injury and death as key factors in its development. Necroptosis has recently emerged as a critical pathway in the pathogenesis of ischemia–reperfusion-induced AKI (IR-AKI). Although sex differences in susceptibility to IR-AKI have been reported, it remains unclear whether there are sex differences in necroptosis dynamics and whether these differences underlie the observed sexual dimorphism in kidney IRI. This study aimed to address these questions. Methods: male and female C57BL/6 J mice were subjected to AKI via ischemia induced by bilateral renal pedicle clamping for 18 min at 37 °C. Plasma, urine, and kidney samples were collected at 0 h, 3 h, 6 h, 12 h, 24 h, 48 h, and 72 h post-reperfusion. Kidney injury and function were assessed by measuring plasma creatinine (PCr), blood urea nitrogen (BUN) levels, and histological damage (PAS and cleaved caspase3 staining). Necroptosis activation was assessed by quantifying phosphorylated forms of key markers: p-RIPK1 and p-MLKL. To explore the role of sex hormones in regulating necroptosis dynamics, ovariectomized female mice were subjected to the same IR-AKI protocol, and their kidney injury and functional outcomes were compared with those of intact counterparts. Results: The PCr was 0.35 ± 0.04 and 0.32 ± 0.06 mg/dL for males and females, respectively, at 3 h of IR. The levels exponentially increased to 2.05 ± 0.18 at 48 h post-reperfusion in the males but only gradually to 0.94 ± 0.13 mg/dL in females. Necroptosis activation began as early as 3 h post-IR in males but was delayed until ~6 h in females. Males exhibited stronger and more sustained necroptosis activation than females, showing elevated phosphorylation levels of pRIPK1 and pMLKL in Western blot. Female sex hormone deficiency exacerbated the female response to IR-induced injury, which reduced the sex difference in the dynamic of the necroptotic activation and subsequent kidney injury. To our knowledge, this is the first study to characterize sex differences in the initiation and progression of necroptosis and subsequent injury in a mouse model of IR-AKI. Conclusions: Our findings reveal distinct temporal patterns of programmed cell death between sexes. Necroptosis-targeted therapies require early intervention in males, which can be delayed in females after IR-AKI, highlighting the need for sex-specific therapeutic windows.

Introduction and Objective: Kidney stone growth and new stone formation are common clinical trial endpoints and are associated with future symptomatic events. To date, a manual review of CT scans has been required to assess stone growth and new stone formation, which is laborious. We validated the performance of a software algorithm that automatically identified, registered, and measured stones over longitudinal CT studies. Methods: We validated the performance of a pretrained machine learning algorithm to classify stone outcomes on longitudinal CT scan images at baseline and at the end of the 2-year follow-up period for 62 participants aged >18 years in the Prevention of Urinary Stones with Hydration (PUSH) randomized controlled trial. Stones were defined as an area of voxels with a minimum linear dimension of 2 mm that was higher in density than the mean plus 4 standard deviations of all nonnegative HU values within the kidney. The four outcomes assessed were: (1) growth of at least one existing stone by ≥2 mm, (2) formation of at least one new ≥2 mm stone, (3) no stone growth or new stone formation, and (4) loss of at least one stone. The accuracy of the algorithm was determined by comparing its outcomes to the gold standard of independent review of the CT images by at least two expert clinicians. Results: The algorithm correctly classified outcomes for 61 paired scans (98.4%). One pair that the algorithm incorrectly classified as stone growth was a new renal artery calcification on end-of-study CT. Conclusions: An automated image analysis method validated for the prospective PUSH trial was highly accurate for determining clinical outcomes of new stone formation, stone growth, stable stone size, and stone loss on longitudinal CT images. This method has the potential to improve the accuracy and efficiency of clinical care and endpoint determination for future clinical trials.

Abstract Objectives To enable users with modest technical background to perform biomedical natural language processing (NLP). Materials and Methods We developed medspacyV using the Python graphical programming tkinter library, following the model-view-controller (MVC) design pattern. The interface wraps around a rule-based pipeline for sentence splitting, section segmentation, concept identification, and negation detection. Results The primary window allows the user to configure the project and NLP rules, execute the pipeline, and save the outputs into a table. A separate annotation viewer window can be launched to inspect the immediate or previous NLP outputs. Discussion We developed medspacyV with three rationales: controllability, explainability, and economy. The rule-based approach is sufficient for many NLP use cases. Conclusion The medspacyV program is publicly available at https://github.com/medspacy/medspacyV, targeting use by healthcare professionals and researchers in their NLP projects.

Abstract Rationale High-attenuation area (HAA) is a computed tomography (CT) tool that correlates with lung inflammation and fibrosis. Systemic molecular correlates of HAA (e.g., plasma proteins) may inform biological processes involved in interstitial lung disease. Objectives To identify plasma proteins that associate with HAA and correlate with a higher probability of developing new-onset fibrotic or subpleural interstitial lung abnormalities (ILAs). Methods Plasma protein levels were measured using a semiquantitative aptamer-based platform in MESA (the Multi-Ethnic Study of Atherosclerosis; N = 5,486) and SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study; N = 1,781). Linear regression models identified HAA-associated proteins after adjustment for demographic and socioeconomic factors, CT scanner parameters, study center, and batch. Associations of HAA-related proteins with new-onset fibrotic or subpleural ILAs were examined in MESA participants with ILA assessments on full-lung CT 10 years later. Immunohistochemical staining of select proteins was performed in lung tissue from pulmonary fibrosis cases. Measurements and Main Results There were 75 proteins detected that were significantly associated with HAA in MESA and SPIROMICS. Gene Ontology analysis of these proteins identified processes involved in immune cell chemotaxis and cellular growth and apoptosis. Seven proteins were associated with a higher probability of new-onset fibrotic or subpleural ILAs in MESA, and two of these, junctional adhesion molecule-like protein and GTP cyclohydrolase 1 feedback regulatory protein, stained in areas of fibrosis in lung tissue from patients with interstitial lung disease. Conclusions Plasma proteins associated with more HAA are involved in immune and cellular processes and associate with new-onset fibrotic-subpleural ILA.

Abstract Objective: Electronic Health Record (EHR) data are critical for advancing translational research and AI technologies. The ENACT network offers access to structured EHR data across 57 CTSA hubs. However, substantial information is contained in clinical narratives, requiring natural language processing (NLP) for research. The ENACT NLP Working Group was formed to make NLP-derived clinical information accessible and queryable across the network. Methods: We established the ENACT NLP Working Group with 13 sites selected based on criteria including clinical notes access, IT infrastructure, NLP expertise, and institutional support. We divided sites into five focus groups targeting clinical tasks within disease contexts. Each focus group consisted of two development sites and two validation sites. We extended the ENACT ontology to standardize NLP-derived data and conducted multisite evaluations using the Open Health Natural Language Processing (OHNLP) Toolkit. Results: The working group achieved 100% site retention and deployed NLP infrastructure across all sites. We developed and validated NLP algorithms for rare disease phenotyping, social determinants of health, opioid use disorder, sleep phenotyping, and delirium phenotyping. Performance varied across sites (F1 scores 0.53–0.96), highlighting data heterogeneity impacts. We extended the ENACT common data model and ontology to incorporate NLP-derived data while maintaining Shared Health Research Informatics NEtwork (SHRINE) compatibility. Conclusion: This demonstrates feasibility of deploying NLP infrastructure across large, federated networks. The focus group approach proved more practical than general-purpose approaches. Key lessons include the challenge of data heterogeneity and importance of collaborative governance. This work also provides a foundation that other networks can build on to implement NLP capabilities for translational research.

ABSTRACT Background Secukinumab, a fully human, monoclonal antibody targeting interleukin‐17A, is approved for moderate‐to‐severe HS in adults. This study evaluated pharmacokinetics (PK), high‐sensitivity C‐reactive protein (hsCRP) changes, and safety of secukinumab over 52 weeks in SUNSHINE and SUNRISE Phase 3 trials. Methods An exploratory analysis of pooled Phase‐3 trials evaluated serum PK and safety of secukinumab 300 mg every 2 (SECQ2W) or 4 weeks (SECQ4W). A population PK model assessed the effects of body weight, disease severity, and baseline hsCRP on secukinumab serum concentration. Exposure–response analysis assessed the relationship between predicted PK and HS clinical response [HiSCR]. No confirmatory statistical testing was performed. Results Mean serum trough concentration at Weeks 16, 24, and 52 was ~2‐fold higher with SECQ2W vs. SECQ4W. At Week 16, exposure overlap was high, with an estimated numerical increase in HiSCR of ~3% for SECQ2W over SECQ4W. At Week 52, HiSCR levels plateaued. At Week 16, hsCRP decreased from 18.6 ± 26.3 mg/L to 12.8 ± 18.0 mg/L (SECQ2W), 15.9 ± 27.6 mg/L to 11.5 ± 18.4 mg/L (SECQ4W), and remained unchanged with placebo (14.4 ± 22.5 mg/L to 14.7 ± 23.8 mg/L); reductions were sustained through Week 52. Higher body weight, disease severity, and baseline hsCRP were associated with lower secukinumab serum concentrations. Secukinumab immunogenicity was low (< 1%), with no new safety signals. Conclusion Secukinumab serum concentrations in patients with HS varied with body weight, disease severity, and baseline hsCRP. SECQ2W may benefit certain patients. Secukinumab reduced hsCRP through Week 52. The safety profile of secukinumab was consistent with other approved indications, with no apparent dose–response relationship observed. Trial Registration NCT03713619 (Novartis study code CAIN457M2301). NCT03713632 (Novartis study code CAIN457M2302)

ImportanceThyroid cancer incidence has tripled in the past 3 decades, largely driven by increased detection of small, indolent papillary thyroid cancers. Overuse of thyroid ultrasonography (TUS) contributes to overdiagnosis, leading to unnecessary biopsies, procedures, and potential patient harm.ObjectiveTo evaluate the frequency of and factors associated with inappropriate TUS (iTUS) orders and assess related clinical outcomes.Design, Setting, and ParticipantsThis retrospective cohort study analyzed adult patients 18 years and older who underwent their first TUS from January 1, 2017, to December 30, 2021, at 4 Mayo Clinic sites. Patients with previous thyroid nodule, thyroid cancer, thyroid surgery, or TUS were excluded. Based on documented clinical indications, a validated natural language processing model classified TUS orders as appropriate or inappropriate. Data were analyzed from April 2024 to May 2025.ExposuresBaseline characteristics of patients, clinicians, and clinical encounters investigated for their association with an iTUS order.Main Outcomes and MeasuresThe primary outcome was the proportion of iTUS orders. Secondary outcomes included factors associated with iTUS (sociodemographic, clinical, order-specific, and clinician-related factors) and clinical outcomes following iTUS, including the detection of thyroid nodules, thyroid procedures, and thyroid cancer diagnoses.ResultsOf 11 442 included patients, 8422 (73.6%) were female, and the mean (SD) age was 57.3 (15.8) years with a mean (SD) body mass index (calculated as weight in kilograms divided by height in meters squared) of 29.7 (7.0). Among 11 442 TUS orders, 866 (7.6%) were classified as inappropriate. In multivariable analysis, younger age (age of 18 to 54 years vs older than 65 years; odds ratio [OR], 1.86; 95% CI, 1.56-2.22), hyperthyroidism (OR, 9.04; 95% CI, 6.75-12.11), ordering by nonendocrinology specialties (eg, oncology/hematology; OR, 3.43; 95% CI, 2.47-4.76), and orders not linked to an in-person appointment (eg, portal messages; OR, 2.42; 95% CI, 2.08-2.82) were strongly associated with increased odds of iTUS. Compared with appropriate TUS, iTUS led to lower rates of thyroid nodule detection (202 of 866 [23.3%] vs 6885 of 10 576 [65.1%]; OR, 0.16; 95% CI, 0.14-0.19), biopsies (89 [10.3%] vs 2647 [25.0%]; OR, 0.34; 95% CI, 0.27-0.43), partial thyroidectomies (14 [1.6%] vs 424 [4.0%]; OR, 0.39; 95% CI, 0.23-0.67), and confirmed thyroid cancer cases (16 [1.8%] vs 425 [4.0%]; OR, 0.45; 95% CI, 0.27-0.74).Conclusions and RelevanceIn this cohort study, approximately 1 in 13 TUS orders were inappropriate. iTUS was more common in younger patients, those with thyroid dysfunction, those not seen in person, and in those referred by nonendocrinology specialties. These findings highlight the need for targeted strategies to optimize TUS use and mitigate overdiagnosis and overtreatment.

BACKGROUND/OBJECTIVE Patient- and family-centered rounds (PFCR) have become a pediatric standard of care. However, rounds experiences of families using languages other than English (LOE)—particularly languages other than English or Spanish (LOES; eg, Arabic)—receive less focus. We aimed to identify differences in PFCR communication and engagement by language. METHODS We analyzed postintervention data from a 21-center structured PFCR study, assessing communication practices, quality, and family and nurse engagement during PFCR. Logistic regression adjusted by site compared PFCR between families using (1) LOE vs English, (2) Spanish vs English, and (3) LOES vs English. RESULTS Among 3051 PFCR encounters, 348 (11.4%) involved LOE (Spanish = 260; LOES = 85). Interpretation was not used in 7.2%, 5.8%, and 9.4% of encounters using LOE, Spanish, and LOES, respectively. PFCR in the following groups had lower adjusted odds (adjusted odds ratio [95% CI]) for the following domains: (1) LOE vs English: including providing verbal patient summaries (0.66 [0.46–0.95]), explaining diagnoses and differentials (0.62 [0.44–0.88]), family engagement (0.34 [0.20–0.57]), nursing inclusion (0.75 [0.60–0.93]), and nursing engagement (0.69 [0.52–0.90]). (2) Spanish vs English: diagnoses/differentials being explained (0.56 [0.37–0.85]), family engagement (0.35 [0.18–0.67]), nursing inclusion (0.77 [0.59–1.00]), and nursing engagement (0.68 [0.52–0.89]). (3) LOES vs English: families sharing concerns (0.66 [0.47–0.93]), family engagement (0.30 [0.16–0.54]), and nursing inclusion (0.74 [0.55–0.99]). CONCLUSION Even after implementing a PFCR intervention, families using LOE—especially LOES—experienced significant disparities in communication and engagement. Future approaches to improving PFCR should emphasize language access and promote nurse and family engagement for families using LOE, particularly LOES.