Citations

Objectives: We evaluated agreement between human papillomavirus (HPV) tests performed on self-collected vaginal and clinician-collected cervical specimens to advance HPV self-collection as a cervical cancer screening option in our health care system. Methods: This diagnostic accuracy study was conducted at an academic medical center. Participants were 25–65 years old with upcoming colposcopy appointments. One cohort (n = 79) self-collected a vaginal specimen in the clinic immediately before a clinician-collected cervical specimen. The second cohort (n = 115) self-collected a vaginal specimen at home, mailed it in, and had a clinician-collected cervical specimen in the clinic. Paired specimens were evaluated for total (TPA), positive (PPA), and negative (NPA) percentage agreement. Extreme temperature stability studies were also conducted. Results: Compared with clinician-collected cervical specimens, in-clinic self-collected vaginal specimens showed a TPA, PPA, and NPA of 98%, 100%, and 97% for HPV16; 99%, 100%, and 99% for HPV18; 86%, 94%, and 79% for high-risk other (HRO) HPV. The TPA, PPA, and NPA for at-home self-collected vaginal specimens compared with clinician-collected cervical specimens were 94%, 79%, and 96% for HPV16; 95%, 43%, and 98% for HPV18; 89%, 80%, and 93% for HRO. Vaginal specimens showed prolonged stability and were unaffected by extreme temperatures. Conclusions: In general, in-clinic and at-home self-collected vaginal HPV specimens for HPV screening demonstrate high agreement with clinician-collected cervical specimens, with the exception of low PPA in the at-home self-collected vaginal HPV18 subgroup. Our findings support the use of HPV self-collection as a practical option to expand access to cervical cancer screening.

ABSTRACT Background Polypharmacy is common in autoimmune rheumatic diseases (ARDs) and increases adverse drug events (ADEs), but comparative evidence across diseases is limited. We aimed to quantify ADE burden and identify medications associated with ADE risk across six ARDs, and to examine shared and disease-specific patterns across diseases. Methods We conducted a retrospective cohort study at a tertiary medical center (2010–2024). Adults with ankylosing spondylitis (AS), psoriatic arthritis (PsA), rheumatoid arthritis (RA), Sjögren’s disease (SjD), systemic lupus erythematosus (SLE), or systemic sclerosis (SSc) were identified using diagnostic codes. ADEs were ascertained using validated case definitions. Medications were mapped to Anatomical Therapeutic Chemical classes; active exposure was defined within 30 days before the index date. Polypharmacy was defined as ≥5 concurrent medications (minor 5–10; major >10). Within each ARD, nested case–control analyses matched on encounter type (1:4) were performed, and adjusted odds ratios (aORs) were estimated using conditional logistic regression. Findings Among 10,578 patients, 3,154 (29.8%) experienced at least one ADE. ADE burden varied across diseases, with the highest prevalence observed in SSc (35.9%). Polypharmacy was common (57.3% minor, 39.4% major) and medication burden was consistently higher in ADE cases across encounter types (eg, SLE outpatient median 12 vs 6; inpatient 20 vs 10; emergency 17 vs 8). Across ARDs, the strongest associations with ADEs were observed for supportive and symptom-directed therapies (acid suppressors, pain adjuncts, and sedative-hypnotic/psychotropic medications), whereas conventional disease-modifying antirheumatic drugs (DMARDs) showed weaker associations. Disease-specific signatures included gastrointestinal agents in SSc (metoclopramide aOR 12.32), antibiotics and respiratory agents in AS (ciprofloxacin aOR 13.71, fluticasone aOR 8.88). Interpretation ADEs affect nearly one-third of ARD patients and increase with medication burden. Risk concentrates in supportive and symptom-directed therapies rather than DMARDs, with both shared and disease-specific patterns. Optimizing prescribing, particularly for pain management and corticosteroid use, can reduce medication-related harm.

Abstract The optimal management of diverticulitis in young and immunocompromised patients remains controversial, particularly regarding whether these groups warrant a lower threshold for surgery. Historically, young patients were often offered elective colectomy after the first episode of diverticulitis because of concerns regarding recurrence and more aggressive disease. However, contemporary evidence shows that although younger patients may experience higher recurrence rates, they are not at increased risk for complicated recurrence, emergency surgery, or mortality compared with older adults. Nonoperative management is successful in most cases, supporting an individualized rather than age-based surgical approach. Immunocompromised patients, including those with solid organ transplantation, malignancy, chemotherapy exposure, chronic steroid use, or autoimmune disease requiring immunosuppression, represent a higher-risk population. These patients more commonly present with complicated diverticulitis, perforation, sepsis, and atypical symptoms that may delay diagnosis. Although uncomplicated disease can often be managed nonoperatively, immunocompromised patients experience higher rates of emergent surgery, stoma creation, postoperative complications, and mortality, particularly when surgery is performed in a non-elective setting. Current evidence does not support lowering the surgical threshold solely on the basis of young age or immunosuppression status. Instead, management should remain individualized, incorporating disease severity, recurrence pattern, comorbidities, operative risk, and patient preferences. Further research is needed to better define optimal surgical timing and patient selection in these two populations.

Abstract Background Stroke is a time-sensitive neurological emergency in which early EMS activation and presentation to definitive care are cornerstones of effective therapy. Large language models (LLMs) are increasingly consulted by the public for medical advice, but the veracity of the guidance provided by commercially available models responding to potential stroke symptoms is not well understood. Methods We performed a cross-model benchmarking study comparing the triage choices of three frontier LLMs (Claude Sonnet 4.6, GPT-4o, and Llama 3.3-70b-versatile) on first-person vignettes describing a unilateral arm symptom on waking, across 10 symptom descriptors, and two clinical phases (before and after a partially reassuring self-examination), with or without a clinical distractor (n=50 per condition). Results Claude sought emergency care most often, Llama least, and GPT-4o in between, diverging most sharply in the post-examination phase where Claude called 911 in 100% of runs, Llama called for non-emergency help in 100%, and GPT-4o was symptom-dependent. A distractor shifted behavior away from emergency care in almost all conditions: calling 911 fell from 37.9% to 14.6% and waiting rose from 0% to 45.9% in the post-examination vignette. Responses were also sensitive to symptom word: weak, limp, heavy, and clumsy generated higher alarm, whereas numb, tingly, odd, strange, and weird generated less urgent responses. Conclusions The increasing use of LLMs for medical advice has significant public health implications. Commercially available LLMs show significant model-to-model variability and framing sensitivity when confronted with potential stroke symptoms, including under-recognition of canonical CDC warning descriptors, underscoring the need for systematic benchmarking as these tools become de facto first points of contact for patients experiencing neurological emergencies.

Objective: To evaluate magnetic resonance (MR) imaging artifact and image distortion associated with the Oticon Medical Sentio Ti bone conduction implant (BCI) and identify optimized imaging techniques. Study design: Cadaveric study. Intervention: One cadaveric head specimen was unilaterally implanted with Sentio Ti BCI according to the manufacturer's instructions. Main outcome measures: Imaging was performed with a Siemens 1.5 Tesla MR machine on XA60 software before and after implantation. Imaging was performed with both standard and metal mitigation techniques. Image scoring (diagnostic vs. nondiagnostic) and qualitative assessment of anatomic subsites were performed by 2 experienced neuroradiologists. Results: Image distortion and artifact were noted in all postimplant sequences. For all sequences, imaging of the ipsilateral middle ear, mastoid, and internal auditory canal (IAC) was nondiagnostic. The axial T1 turbo spin echo high bandwidth sequence had the best artifact reduction; however, the ipsilateral temporal bone remained nondiagnostic. Notably, nonecho planar diffusion-weighted imaging (non-EPI DWI) was nondiagnostic for both the ipsilateral temporal bone and the contralateral IAC and middle ear. Conclusions: After implantation of the Sentio Ti BCI, imaging of the ipsilateral temporal bone is rendered nondiagnostic on all MR sequences due to artifact despite the use of metal mitigation techniques. Importantly, the non-EPI DWI HASTE sequence, which is used for cholesteatoma surveillance, is nondiagnostic for all ipsilateral and most contralateral temporal bone subsites, making cholesteatoma surveillance challenging with an implant in place. This finding is critical for clinical decision-making, as rehabilitation of conductive hearing loss in the setting of chronic otitis media is among the most common indications for use of a BCI.

Importance Little is known about how factors external to the workplace, such as spousal support, influence physician attrition. Objectives To explore associations of spousal support among married/partnered physicians with both ‘hard’ attrition ((HA), considering leaving academic medicine within 2 years) and ‘soft’ attrition ((SA), having ever considered part-time work), before and after adjusting for demographic variables, burnout and satisfaction with work-life integration (WLI). Design This cross-sectional survey study was conducted among faculty physicians employed at Mayo Clinic. Outcomes and measures Survey items measured demographics, spousal support (five items), HA, SA, satisfaction with WLI (single-item measure) and burnout (two-item measure). Check-all-that-apply questions explored reasons for considering attrition. We investigated associations of spousal career support with attrition consideration using logistic regression analyses, adjusting for demographic variables then for WLI satisfaction and burnout. Results 739/2103 physicians responded (response rate 35.1%); 666 (90.1%) were married or partnered and responded to the HA question. 42.5% (283/666) reported considering HA and 60.9% of full-time employees (288/473) had ever considered SA. 65.5% (437/666) considered any attrition (AA). Respondents reporting more frequent spousal career support had lower odds of HA (OR 0.80, 95% CI 0.68 to 0.94, p=0.006), though this was not significant when considering AA (OR 0.85, 95% CI 0.71 to 1.01, p=0.07). Neither association was significant after adjusting for WLI satisfaction and burnout (OR 1.01, 95% CI 0.80 to 1.29, p=0.91 (HA), OR 1.10, 95% CI 0.86 to 1.37, p=0.45 (any attrition)). Conclusions While spousal support was no longer significantly associated with attrition after adjusting for WLI satisfaction and burnout, it may mitigate attrition.

Objectives: To summarize current evidence for radiotherapy in the treatment of OA. The population, intervention, comparator, and outcome questions included: What is the role of LDRT for treatment of OA?; What are risks of LDRT?; and What are the optimal RT techniques for OA? Methods: This multispecialty-led committee includes radiation oncologists, rheumatologists, orthopedic surgeons, and a patient advocate. Using the population, intervention, comparator, outcome, timing and study design (PICOTS) framework, evidence regarding treatment outcomes was assessed using Cochrane and PRISMA methodology. Eligible studies included prospective and retrospective (n≥50) studies published between January 1, 2010, and May 10, 2025, from Embase, Medline, and PubMed databases. Study type and quality were assessed. Well-established RAND-UCLA consensus methodology (modified Delphi) was used to rate the appropriateness of the treatment options. Results: Of the 548 articles identified using the search strategy, 44 were selected for inclusion. Eight additional studies were identified through backward citation searching. Ten well-designed studies accounting for biases, 15 moderately well-designed studies accounting for the most common biases, 18 studies with design limitations, 8 supplemental studies not useful as primary evidence, and 1 meta-analysis were included. Additional studies were included to provide context and were not used to guide recommendations. The results of this analysis demonstrate that LDRT results in an overall treatment response rate of 60% to 90%, with significant clinical benefits including pain reduction, increased joint mobility, and improved quality of life. Conclusions: This systematic review and consensus guidelines for LDRT treatment of OA are based on current evidence. Further high-quality studies are warranted.

SUMMARY Aging is accompanied by profound changes in bladder function, leading to increased urinary frequency and incontinence that impair quality of life in humans and are recapitulated in mouse models. Bladder filling and emptying rely on precise mechanosensory feedback, yet how aging alters this sensory control remains unclear. PIEZO ion channels convert mechanical forces into cellular signals essential for bladder fullness sensation. Using inducible smooth-muscle specific Piezo1 deletion, we find that loss of Piezo1 attenuates aging-related bladder dysfunction. Dietary enrichment with margaric acid, a membrane-active fatty acid previously shown to inhibit PIEZO channels, reduced urinary dysfunction in aged mice. In humans, genotype–phenotype analyses reveal an association between a PIEZO1 gain-of-function variant and early-onset neuromuscular bladder dysfunction. Together, these findings define a smooth-muscle, PIEZO1-mediated mechanosensory basis for aging-related bladder dysfunction and introduce a non-invasive strategy for targeting PIEZO channels in vivo .

Background/Objectives: White matter (WM) tract detection is critical in the presurgical planning of tumor resection. However, standard-of-care imaging techniques including T1-weighted, T2-weighted, and Diffusion Tensor Imaging (DTI) often fail to identify WM tracts within edematous regions. In T1/T2-weighted imaging, edema increases extracellular water and reduces tissue contrast, and in diffusion-weighted imaging, edema elevates isotropic diffusion, reducing sensitivity to anisotropic diffusion along WM tracts. Advanced biophysical diffusion modeling techniques such as Neurite Orientation Dispersion and Density Imaging (NODDI) and the Standard Model (SM) address this limitation by compartmentalizing the diffusion signal into free-water, intra-neurite, and extra-neurite contributions. Here, we test if biophysical multi-compartment models can robustly identify WM tracts and recover tractography streamlines within edematous regions. Methods: In this study, we use multi-shell diffusion-weighted MRI data obtained from patients with meningiomas—a pathology allowing for isolation of the effects of edema without the confounding effects of tumor cell invasion. We compared FA from standard and free-water-corrected DTI, the orientation dispersion index (ODI) from NODDI, and P2 (a scalar descriptor of fiber orientation coherence) from the SM fODF in edematous and unaffected contralateral WM regions. As a proof of concept, we visually evaluated the tractography performance across models. Results: Our results show that (1 − ODI) and P2 values in edema remained close to within-subject contralateral measurements, contrasting with substantial reductions in FA and FW-FA. (1 − ODI) showed a small but statistically significant increase in edema (~8%, p = 0.02), while P2 was unchanged. Conclusions: These results highlight the potential of biophysical diffusion models for preoperative mapping in edema.