Citations

Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death in the United States and worldwide. HCC screening among patients at elevated risk is associated with improved early detection and overall survival, but current ultrasound-based screening strategies are challenged by low adherence and suboptimal sensitivity. Blood-based screening tests have the potential to enhance adherence and improve early-stage HCC detection if they can demonstrate favorable performance compared with ultrasound-based screening. Here we present the design and rationale for ALTUS (A lternative to Ultrasound), a prospective, longitudinal, multicenter study in the United States to investigate the performance of the multi-target HCC blood test (mt-HBT) for the detection of HCC in a screening population. Methods: Adults with liver cirrhosis or chronic hepatitis B infection will be enrolled to undergo standard-of-care screening imaging and concurrent blood collection for the mt-HBT. All participants will undergo contrast-enhanced CT or MRI imaging with central radiology LI-RADS assessment as the reference method to determine HCC status. Participants without an identified malignancy will undergo a second screening visit and blood collection, and longitudinal clinical and imaging data will be collected up to 18 months from enrollment. The primary study objectives are to demonstrate that the mt-HBT is non-inferior to ultrasound for early-stage HCC sensitivity and to assess mt-HBT HCC specificity. The secondary objective is to assess mt-HBT overall sensitivity. Results: ALTUS is in progress with readout of the primary analysis expected in 2025. Conclusions: This prospective head-to-head comparison of the mt-HBT versus ultrasound will provide novel data regarding the performance and utility of the mt-HBT for HCC screening.

PURPOSE This analysis aimed to contextualize the symptoms of peripheral neuropathy (PN) experienced by patients with triple-class refractory (TCR) multiple myeloma (MM) treated with elranatamab in the MagnetisMM-3 clinical trial with those experienced by patients with TCR MM receiving a new line of physician's choice of therapy in the real-world MagnetisMM-14 study. METHODS MagnetisMM-3 included 123 patients and MagnetisMM-14 included 35 who had TCR MM and were enrolled under the same eligibility criteria. Patient-reported symptoms of PN were collected monthly using the Chemotherapy-Induced Peripheral Neuropathy-20 item (CIPN20) questionnaire and compared for clinically meaningful differences across sensory, motor, and autonomic domains. Higher scores indicated worse patient-reported PN symptoms. RESULTS Baseline demographics and clinical characteristics for patients in MagnetisMM-3 and MagnetisMM-14 were generally similar. Patients in MagnetisMM-3 had a median of five ( v four in MagnetisMM-14) prior lines of therapy. In MagnetisMM-14, common index therapies included elotuzumab + pomalidomide (23%), carfilzomib + pomalidomide (19%), or carfilzomib + cyclophosphamide (19%), all with corticosteroids. Mean scores for sensory (15.8 v 14.8) and motor (14.4 v 12.2) domains of the CIPN20 were similar between MagnetisMM-3 and MagnetisMM-14 at baseline. Mean scores for the autonomic domain were 14.0 versus 21.3 at baseline, respectively. No clinically meaningful differences for any domain were found between month 6 scores or changes in scores from baseline to month 6 between MagnetisMM-3 and MagnetisMM-14 populations. CONCLUSION These findings suggest that elranatamab treatment was not associated with a worsening of patient-reported PN symptoms across the sensory, motor, and autonomic domains of the CIPN20. Moreover, PN symptoms reported with elranatamab treatment were similar to those reported with other common therapies used in real-world clinical practice for the management of MM. MagnetisMM-3 ClinicalTrials.gov identifier: NCT04649359 .

Abstract For occlusion experiments of 9 dogs [1], the infarcted and not-infarcted regions of left ventricular cross sections have been investigated by application of a plane-strain finite-element method to determine the change in the wall passive stiffness, or, Young’s modulus E [2]. The present paper reports how the instantaneous strain equation derived from the myocardium-blood composite model [3,4] can be utilized to obtain a formula for calculation of the ratio of extended myocardial fiber length in the infarcted (IN) region and that in the not-infarcted (NI) region of left ventricular cross section during the diastole phase of cardiac cycle. This formula uses the blood volume fraction (f) data [5] listed in Table 1 and the ventricular wall thickness (t) directly measurable from the LV walls as visualized in short-axis tomographic images of the LV.

Abstract This study examined in vitro glenohumeral instability under two simulated biomechanical models of rotator cuff tear: 1) tendon-defect model and 2) muscle-unloaded model. The results indicated that rotator cuff tear significantly increased the joint instability. Significant difference also existed between the two tested models. The tendon-defect model underestimated the joint instability in most simulated shoulder positions.

Abstract The stress environment of the extracellular matrix of the supraspinatus tendon, including the stress distribution and concentration, was evaluated by using a finite element model. Stress riser was found around the insertion at the articular side of the tendon. Compressive and shear stresses were observed at the articular side which corresponded to the region associated with fibrocartilaginous matrix. This area corresponded well with the critical zone of potential tear observed clinically.

Abstract A methodology was developed for potential determination of the material properties of inhomogeneous and anisotropic biomembranes. Mathematical estimations and computer simulations were performed to determine the effect of load and displacement errors on the property values. The results indicated that the material properties were particularly sensitive to displacement errors. The determination of non-dominant components requires more accurate experimental measurements.

Background: Patient safety event reporting systems are essential for identifying potential risks and improving patient outcomes. However, traditional systems frequently face issues of under-reporting, particularly concerning near-miss and no-harm events, thereby limiting opportunities for organizational learning and harm prevention. This initiative used quality improvement principles to design a new reporting system at our institution to enhance safety culture. Methods: Following extensive stakeholder feedback and multidisciplinary collaboration, a new system was implemented on July 22, 2022. Key features included streamlined reporting, centralized data analysis, and enhanced transparency. Results: Overall event reporting as well as proportional reporting of near-miss and no-harm events increased significantly from around 60% preimplementation to 80% after implementation. Staff engagement also improved, as shown by a steady rise in the number of unique event reporters and reviewers. Conclusions: The new reporting system has improved reporting overall, with increases in near-miss and no-harm events, along with increased staff engagement with the reporting and review process. Our experience offers practical lessons for institutions seeking to strengthen the learning value of event reporting systems. The principles we identified with simplifying ease of use, integrating into the EHR, improving data transparency, and encouraging greater involvement with event review, along with clear oversight protocols, apply beyond our institution and are not limited to a specific PSRS product or system. These initial outcomes support a culture of safety and bolster organizational learning, with future study needed on long-term effects on patient safety outcomes, staff involvement, and increased trust.

OBJECTIVE To evaluate the impact of community paramedic (CP)-delivered, in-home diabetes self-management education and support (DSMES) for adults with poorly managed diabetes. RESEARCH DESIGN AND METHODS In a pragmatic, single-arm pilot trial, adults with HbA1c ≥9% and a recent emergency department or hospital visit received a 1-month CP-led DSMES intervention. Outcomes included HbA1c, health care engagement, and patient-reported satisfaction. RESULTS Seventy participants (median age 61 years, 50% rural, 84% with type 2 diabetes) completed the intervention. HbA1c declined from 9.8% to 8.2% at 4 months (P < 0.001). Engagement with primary care, endocrinology, and DSMES improved. Satisfaction was high (mean rating 9 out of 10). CONCLUSIONS CP-led DSMES improved glycemic management and care engagement in underserved populations. This scalable model warrants further study.

Objective: To examine prospective associations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test positivity, coronavirus disease 2019 (COVID-2019) symptom severity, and COVID-2019 hospitalization with incident clinical diabetes among aging women. Methods: A cohort study was conducted using data from 34,405 eligible Women’s Health Initiative participants who completed ≥1 COVID-2019 surveys (Survey 1: June–December 2020; Survey 2: June 2021–February 2022) and were followed up for an average of 1.86 (±0.49) years, yielding 399 incident diabetes cases. Results: SARS-CoV-2 test positivity was associated with diabetes risk in the age-adjusted Cox regression model (hazard ratio [HR] = 1.76, 95% confidence interval [CI]: 1.10, 2.82), but not when fully adjusted (HR = 1.43, 95% CI: 0.88, 2.31). Diabetes risk was higher among those with 1–2 COVID-19 symptoms (HR = 1.39, 95% CI: 1.09, 1.77) and those with 3± COVID-2019 symptoms (HR = 1.53, 95% CI: 1.06, 2.22) compared with those without COVID-2019 symptoms in fully-adjusted models, irrespective of self-reported SARS-CoV-2 testing. COVID-2019 hospitalization was associated with 2–3 times the risk of clinical diabetes in age-adjusted (HR = 2.95, 95% CI: 1.52, 5.72) and fully-adjusted (HR = 1.90, 95% CI: 0.97, 3.72) models. Conclusions: Age-adjusted self-reported SARS-CoV-2 test positivity was associated with a higher incidence of diabetes. Reporting of COVID-2019 symptoms and being hospitalized for COVID-2019 were each associated with higher incidence of diabetes in aging women, after controlling for demographic, socioeconomic, lifestyle, and health characteristics.