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Background We examined the relationship between infection‐related hospitalization (IRH) and heart failure (HF) in a large clinical health system and assessed whether IRH improved prediction beyond HF risk equations. Methods We studied 80 880 adults (14 150 with IRH and 66 730 age‐ and sex‐matched comparators) aged ≥18 years without HF in the Rochester Epidemiology Project from 1/1/2005–12/31/2019. IRH was identified using International Classification of Diseases ( ICD ) codes. HF incidence was defined as ≥1 HF‐related ICD code. Multivariable Cox models assessed the association between IRH and incident HF. Among 29 219 adults aged 30 to 79 years without baseline cardiovascular disease in the Rochester Epidemiology Project, Harrell's concordance statistic assessed whether IRH improved discrimination of the Predicting Risk of Cardiovascular Disease EVENTs–Heart Failure (PREVENT‐HF) equations. Results Participants were 53.3% women, 85.6% White individuals, and 95.1% non‐Hispanic individuals, with a mean age of 56.0±20.0 years. Median follow‐up time was 6.2 years. Among the IRH group, 2729 developed incident HF (2.75/100 person‐years) versus 4854 (1.00/100 person‐years) in the comparator. The multivariable adjusted hazard ratio for incident HF among participants with versus without an IRH was 1.85 (95% CI, 1.76, 1.94). In a separate cohort, incorporating IRH into PREVENT‐HF increased the concordance statistic from 0.776 to 0.779 (change, 0.003 [95% CI, 0.001–0.004]). The PREVENT‐HF risk score underestimated the 10‐year risk of HF by up to 9% among participants with an IRH. Conclusions IRH was associated with incident HF but provided negligible change to 10‐year HF risk discrimination. However, among individuals with an IRH, incorporating this information meaningfully improved 10‐year HF risk prediction. Severe infections may serve as a risk‐enhancing factor warranting enhanced preventive measures, particularly in populations where IRH is more common.

Abstract Background Personalized meal planning by registered dietitian nutritionists (RDNs) is time‐intensive. Large language models (LLMs) may automate drafting meal plans, but their nutritional accuracy in clinical practice is uncertain. Methods In this proof‐of‐concept study, five outpatient RDNs and four LLMs (Gemini, CoPilot, ChatGPT 4.0, and customized ChatGPT 4.0) each generated 3‐day meal plans for five validated clinical scenarios. Effectiveness was defined as accuracy in meeting pre‐specified energy, protein, carbohydrate, fat, and sodium targets. Time to create plans and RDN comfort (self‐rated confidence in nutritional accuracy and clinical appropriateness on 1–5 Likert scale) were recorded. Three independent RDNs, blinded to source, analyzed nutrient content using Nutritionist Pro. Group differences were assessed with t ‐test and ANOVA. Results All LLMs and RDNs produced feasible meal plans. LLMs generated meal plans in under 1 min, whereas RDNs required a mean of 44 min per scenario. RDNs reported comfort levels ranging from 3.8 to 4.8. Across most scenarios, LLM plans delivered a smaller proportion of requested energy than RDN plans, which more consistently approached energy targets. Both groups performed similarly for the Mediterranean diet scenario. Overall, protein accuracy did not differ. However, in chronic kidney disease, LLMs undershot the guideline‐based protein target, while RDNs tended to modestly exceed it. Accuracy for low‐carbohydrate, fat, and sodium diets was comparable. Conclusion LLMs can rapidly generate clinically plausible meal plans but are less reliable than RDNs in achieving prescribed energy and selected macronutrient goals. Prompt precision is essential for nutrient‐specific targets. A hybrid model in which RDNs refine LLM‐generated drafts may leverage efficiency without sacrificing clinical accuracy.

Abstract Objective To evaluate the connection between symptom burden and sexual quality of life in women with idiopathic subglottic stenosis (iSGS). iSGS is a rare fibroinflammatory disorder involving progressive airway narrowing and respiratory distress. While the impact on physical functioning is well‐established, the influence of iSGS on sexual health, a key component of quality of life, remains unexplored. Study Design Anonymized cross‐sectional survey using validated questionnaires. Setting Online international iSGS support group (Living with Idiopathic Subglottic Stenosis). Methods The Dyspnea Index (DI), the Female Sexual Quality of Life (SQOL‐F) questionnaire, and the Medical Outcomes Health Survey (SF‐36) were distributed to an iSGS support group. Only complete responses were analyzed. Associations between DI and sexual quality of life were evaluated using correlation and linear regression. Median‐based symptom burden groupings were used for secondary descriptive comparisons. Results 682 completed all items in the assigned questionnaires and met inclusion criteria. DI scores were inversely correlated with SQOL‐F (Rho = −0.305, P < .001). SQOL‐F was consistently lower among those with high symptom burden across nearly all items; only partner communication showed no difference. Each one‐point increase in DI predicted a 0.61‐point decrease in SQOL‐F ( B = −0.609, P < .001). High‐burden patients also reported significantly lower SF‐36 Physical (PCS) and Mental (MCS) Component Scores. Conclusions Greater airway symptom burden in iSGS is associated with significantly diminished sexual and general health‐related quality of life. These findings reinforce a need for patient‐centered care that considers both physical and psychosocial well‐being.

Introduction/Objective Opportunistic salpingectomy (OS) has been shown to reduce high-grade serous ovarian cancer (HGSOC) by 42-80%, yet awareness of this strategy outside of obstetrics and gynecology remains limited. The objective of this study was to assess awareness and counseling practices regarding OS for HGSOC prevention among primary care providers (PCPs). Methods We conducted a cross-sectional survey study using a 6-item electronic survey evaluating PCP knowledge and counseling practices related to HGSOC prevention through OS. The study was conducted at a single tertiary care center with gynecologic oncology services. Survey items assessed awareness of HGSOC origin, awareness of OS as a preventative strategy, counseling frequency in the setting of abdominal or pelvic surgery, counseling comfort, and resources needed to increase confidence in recommending OS. Response formats included Likert scales and Yes/No/Unsure options. The survey was distributed by email to attending physicians and advanced practice providers (APPs) in the Department of Family Medicine (FM) and Internal Medicine (IM). Results Of 398 providers surveyed, 136 responded (34% overall response rate; FM 44%, IM 28%), including 96 attending physicians and 40 APPs. Most PCPs were unaware that HGSOC originates in the fallopian tubes (60%) and were unaware of OS as a preventive strategy (71%). Counseling was uncommon: 11% had ever counseled on OS, while 74% had not and 15% reported it was outside their scope. Most respondents (63%) reported being not at all comfortable counseling patients about OS. Providers identified clinical guidelines (60%), CME or training modules (50%), eligibility criteria (48%), gynecology collaboration pathways (48%), and patient-friendly materials (44%) as key supports to improve counseling confidence. Conclusion PCP awareness and counseling regarding OS are limited. Given that guideline support for OS has solidified only in recent years, these gaps are not surprising—and they represent a clear, actionable opportunity. PCPs are well-positioned to lead the expansion of ovarian cancer prevention beyond specialty care with the right tools and support.

Wearable inertial measurement units (IMUs) offer an accessible alternative to optical motion capture (MoCap) gait analysis, but their performance in Progressive Supranuclear Palsy (PSP) requires validation. We assessed the concurrent validity of IMU-derived versus MoCap-derived gait metrics and static postural sway in 30 patients with PSP using Bland–Altman analysis, Intraclass Correlation Coefficients (ICC), and Spearman rank correlations. Finally, we assessed equivalence using the Two one-sided tests (TOST) procedure. Multivariable linear regression was used to determine whether clinical severity, as measured by the PSP Rating Scale (PSPRS), independently predicted absolute IMU measurement error while controlling for patient age and gait velocity. IMUs demonstrated excellent between-system agreement for parameters such as cadence (100.76 ± 11.42 vs. 100.52 ± 11.59) and cycle time (1.21 ± 0.15 vs. 1.22 ± 0.15; ICC > 0.98), despite a systematic underestimation of gait velocity (p < 0.05). Agreement significantly diminished for micro-phases (e.g., single/double support times) and spatial asymmetry. Interestingly, the TOST procedure revealed that only sagittal and transverse trunk kinematics were equivalent between systems, with all other measures failing to find equivalency. For static sway, the IMU demonstrated strong rank-order correspondence for tracking relative postural instability (ρ = 0.82, p < 0.05). Multivariable analysis revealed that higher PSPRS scores are independently associated with greater between-system discrepancies in support phases and pelvic and trunk kinematics (p < 0.05), irrespective of reduced gait speed. These findings highlight the need to develop disease-specific algorithms, rather than relying on normative commercial models, to establish reliable digital biomarkers for monitoring progressive motor decline.

Craniosynostosis is a congenital disorder characterized by premature fusion of cranial sutures. Lambdoid synostosis is a rare and severe form of the disease, but its developmental etiology remains poorly understood. Although ectopic cartilage has been associated with lambdoid suture fusion, whether abnormal chondrocyte development is causative has not been directly tested. Here, we investigated the role of platelet-derived growth factor receptor alpha (PDGFRα) signaling in chondrocyte development and lambdoid suture morphogenesis. Mesoderm-specific expression of an autoactivated Pdgfra allele (Pdgfra+/K) caused premature fusion of the lambdoid and occipitointerparietal sutures, preceded by excessive cartilage expansion during embryogenesis. Spatial transcriptomic analysis identified a PDGFRα-dependent transcriptional program characterized by increased Col2a1, Sox9, and Sfrp2 expression, indicating maintenance of chondrocytes in a proliferative progenitor state. Consistently, PDGFRα-activated chondrocytes exhibited increased proliferation. Moreover, expression of Pdgfra+/K in the Col2a1Cre lineage selectively induced occipitointerparietal suture fusion. Together, these findings demonstrate that PDGFRα signaling promotes proliferative cartilage and impairs chondrocyte maturation, identifying dysregulated chondrogenesis as a developmental mechanism underlying lambdoid craniosynostosis.

Abstract Artificial intelligence is spreading through public health agencies and healthcare systems faster than workforces are trained to govern it. We describe RHAMI (Responsible Health AI Readiness and Maturity Index), the first human-centered automated composite index for health organizations to score AI readiness and maturity as one measurable system of science, economics and ethics, and the physician certification-to-Master’s pathway built to teach what it measures—both designed jointly by frontline public health professionals, clinicians, ethicists, engineers, leaders, and policy-makers in low- and middle-income countries and high-income countries.

Home enteral nutrition (HEN) is essential for patients with a functioning gastrointestinal tract who cannot meet nutritional needs orally, yet outpatient management remains complex, resource-intensive, and supported by a limited evidence base. Artificial intelligence (AI) may augment HEN care by extending monitoring, education, risk assessment, documentation support, and operational coordination into the home environment. Consistent with the narrative review format, this article uses a pragmatic, transparent synthesis of influential HEN-specific literature, relevant clinical nutrition evidence, and background knowledge from adjacent fields, including home healthcare, chronic disease management, oncology nutrition, telehealth, and software regulation. Direct evidence in established HEN populations remains scarce; therefore, most AI applications should be considered hypotheses or early implementation opportunities rather than proven standards of care. The strongest near-term opportunities are clinician-supervised patient education, symptom triage, adherence support, remote monitoring, and workflow automation. Predictive analytics, smart pumps, and precision enteral prescription tools are promising but require prospective HEN-specific validation, interoperability with electronic health records and home-infusion systems, reimbursement pathways, and governance safeguards. Key barriers include dataset bias, limited external validation, alert fatigue, privacy and regulatory concerns, unclear accountability, digital equity, cost uncertainty, and the risk of dehumanizing care. AI should be viewed as a complement to multidisciplinary HEN expertise. Priorities for the near future include HEN registries, standardized outcomes, prospective validation, pragmatic implementation trials, health-economic evaluation, and transparent oversight that preserves clinician accountability and patient-centered care.

Juvenile Parkinson's disease (JPD) is a rare condition characterized by the onset of parkinsonian motor symptoms before the age of 21. Sixteen patients with JPD who presented to the Mayo Clinic between 1990-2020 were included. The median age of symptoms onset was 18.5 years, and six cases had pathogenic PRKN mutations. Resting tremor was the most frequent initial symptom (81.3%), and non-motor symptoms were notably common, including mild cognitive impairment (56.3%), anxiety (62.5%), and depression (56.3%). Levodopa responsiveness was suboptimal in 9 patients and 14 exhibited motor fluctuations. JPD demonstrates distinct clinical characteristics compared with early-onset and late-onset PD.