Citations

ABSTRACT Human intestinal diseases, including inflammatory bowel disease (IBD), are difficult to model because existing animal and in vitro systems do not capture the intestine’s integrated vascular, immune, and metabolic complexity. Here, we establish a custom normothermic machine perfusion platform that maintains surgically resected human intestinal tissue for up to 72 hours under near-physiological conditions. Discarded specimens from patients with nonmalignant intestinal diseases, including IBD and diverticulitis, were continuously perfused at 37°C with real-time hemodynamic and metabolic monitoring. Perfusion preserved tissue viability, mucosal architecture, epithelial integrity, oxygen consumption, metabolic activity, and vascular patency. Daily perfusate sampling enabled longitudinal profiling and experimental modulation of inflammatory mediators, revealing patient-specific immune states. This long-duration platform bridges reductionist in vitro models and clinical disease, enabling mechanistic studies of intestinal inflammation and future testing of personalized therapies in intact patient-derived tissue.

Purpose of review Mask choice is among the few modifiable determinants of positive airway pressure (PAP) effectiveness in adults with obstructive sleep apnea OSA), yet selection is often shaped by convention, habit, or local inventory rather than evidence. We review recent literature, emphasizing studies from the past 18 months and incorporating foundational mechanistic and outcomes studies that should influence prescribing choices. Recent findings Population-scale telemonitoring analyses confirm that nasal interfaces outperform oronasal masks on adherence, required pressure, residual apnea–hypopnea index (AHI), and unintentional leak. Switching patients from an oronasal to a nasal mask can increase adherence by up to 77%. Drug-induced sleep endoscopy with PAP, cine MRI, and sealed-compartment physiology suggest three main mechanisms for these observations: oral pressure transmission without oral airflow, posterior tongue and mandibular displacement, and increased pharyngeal collapsibility. Mandibular jaw-movement signals allow leak phenotyping that distinguishes mask-seal failure from mouth opening, supporting targeted intervention rather than reflexive interface change. Summary Current evidence supports a nasal-first prescribing strategy with structured early follow-up using telemonitored adherence, residual AHI, and leak waveform data. Oronasal masks should be reserved for documented and structured nasal-trial failure rather than selected on the basis of self-reported breathing route.

Background Bicuspid aortic valve (BAV) is the most common congenital heart defect, associated with a lifetime morbidity burden exceeding 80% and an estimated 7% probability of transmission to first-degree relatives. Hence, echocardiographic screening of relatives is recommended. The aim of our study is to develop an artificial intelligence-enabled electrocardiogram (AI-ECG) model for the detection of BAV. Methods Between January 1, 1990, and June 30, 2023, the Mayo Clinic healthcare system database was searched for patients aged ≥18 years with echocardiograms performed for family history of BAV, abnormal auscultation, a BAV-related diagnosis, or to rule out the condition, and with an electrocardiogram (ECG) obtained within 6 months. Cases were patients with a confirmed BAV diagnosis, and controls were those with normal aortic valves. ECGs were randomly assigned into training (80%), internal validation (10%), and test (10%) groups. The AI-ECG model was built using Keras under TensorFlow. Results A total of 13,065 valid ECG–echocardiogram pairs were included (mean [SD] age, 58 [17] years; 44% women), with a median time of 1 day (interquartile range, 0–3 days) between studies. With a 45% BAV prevalence in the test group ( n = 1301), the area under the curve was 0.704, positive predictive value (PPV) 60.1%, and negative predictive value (NPV) 69.4%. At a prevalence of 7%, the NPV increased to 96.1%, but the PPV decreased to 12.2%. Conclusions In this retrospective cohort and using the current AI-ECG model, BAV detection showed modest diagnostic performance and limited standalone clinical utility, suggesting that ECG-only screening for BAV may require additional modalities or more refined phenotyping.