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Background Menopause-related symptoms are common but undertreated. Digital tools that support symptom assessment and patient education may improve engagement. Objective To assess whether a previsit digital menopause symptom assessment and education tool increased treatment initiation and patient engagement compared to an educational pamphlet. Design Women aged 45–55 years with upcoming primary care appointments were invited to participate. Those with a total Menopause Rating Scale (MRS) score ≥5 indicating bothersome menopause symptoms were included. Participants were randomized to a digital menopause symptom assessment tool or a digital educational pamphlet and completed a post-visit survey (NCT06919887). Participants Of the 14,726 women invited to participate between May 12, 2025, and December 5, 2025, there were 653 (4.4%) enrolled that met eligibility criteria. Interventions Randomized to an mHealth app called emmii or a standard digital menopause educational pamphlet. Main measures Menopause treatment initiation within 30 days of the clinical visit was assessed by electronic health data. Baseline and post-visit surveys were collected assessing patient experience, engagement, and perceived usefulness. Rates of menopause hormone therapy (HT) prescribing were compared with a reference population of nonparticipants aged 45–55 who had a primary care appointment at Mayo Clinic during the same period and received no study education materials. Key results Of 653 participants enrolled and randomized, 383 completed both the baseline and post-surveys (171 intervention and 212 control). HT initiation among study participants was significantly higher than in the reference population of women (9.3% vs. 4.4%, p < 0.001). There was no difference in HT initiation between the intervention (9.1%) and control groups (9.6%) ( p = 0.83). Initiation rates were 3.8% and 4.5%, respectively ( p = 0.64) for nonhormone therapies. Conclusions Among women with bothersome menopause symptoms, those who underwent previsit symptom screening and received educational materials had higher rates of HT initiation than women who did not participate in the study. These findings suggest that structured menopause education may improve recognition and management of menopause symptoms in routine clinical practice.

Abstract Objective. Four-dimensional CT (4DCT) enables visualization of dynamic wrist joint pathology but may be compromised by motion artifacts. Deep learning (DL)-assisted motion correction has the potential to enhance wrist 4DCT quality, but model development is hindered by scarce training data. To address this, we developed a model-based motion simulation framework that generated realistic 4DCT data with paired static ground truth images to demonstrate wrist motion correction using a physics-informed DL model trained with simulated data. Approach. Wrist motion was simulated by synchronizing rotational and translational movements of carpal bones and connective tissues. Elastic deformation guided by analytically-derived motion vector fields was applied to static wrist scans at neutral positions to create artifact-free images at multiple angular positions. Virtual motion-corrupted 4DCT images were produced via forward projection and reconstruction with synchronized gantry and wrist motion. Experimental data from 4DCT cadaver scans were collected to validate simulation quality. Low-intensity region score (LIRS), positivity, and entropy were used to assess simulated motion artifacts. A physics-informed motion correction network was adapted exclusively using simulated training data and subsequently deployed on simulated, real cadaveric, and in vivo 4DCT scans. LIRS and structural similarity index (SSIM) were used to evaluate motion correction quality. Wilcoxon signed-rank tests were conducted ( α = 0.05). Results. The simulation method created realistic motion artifacts compared to real scan reference ( p > 0.05). Motion artifacts were effectively mitigated across testing cases demonstrating generalizability. In simulated scans, LIRS improved from 0.55 ± 0.12–0.75 ± 0.04 and SSIM from 0.87 ± 0.08–0.95 ± 0.03 at bone regions (each p < 0.01). In experimental cadaveric scans, LIRS improved from 0.05 ± 0.01–0.31 ± 0.17 in marker regions and from 0.58 ± 0.19–0.77 ± 0.14 in bone regions (each p < 0.01). Significance. Our simulation method facilitates training DL-assisted motion correction algorithms by providing high-quality training data, effectively supporting 4DCT image quality enhancement.

ABSTRACT Background Valganciclovir is the preferred antiviral agent for cytomegalovirus (CMV) prophylaxis in solid organ transplant (SOT) recipients; however, limited data exist to guide optimal dosing in patients requiring intermittent hemodialysis (iHD). This study evaluated the safety and efficacy of our institution's current dosing strategy of valganciclovir 450 mg three times weekly. Methods In this single‐center, retrospective study, adult liver, heart, lung, and kidney transplant recipients from January 2014 to November 2024 were included. Patients requiring ≥ 3 iHD sessions posttransplant and receiving valganciclovir 450 mg three times weekly were compared with recipients with normal renal function receiving 900 mg once daily. The primary outcomes were the risk of neutropenia, leukopenia, and thrombocytopenia within 3.5 months posttransplant. Results A total of 116 patients were included in the iHD cohort and were matched 1:2 to 232 patients in the normal renal function cohort. Rates of leukopenia and neutropenia were comparable between cohorts. However, thrombocytopenia occurred significantly more frequently in the iHD cohort (45.2% vs. 26.7%; p = 0.002). No significant differences were observed in rates of CMV infection between groups. Conclusion Valganciclovir 450 mg three times weekly appears safe and effective for CMV prophylaxis in SOT recipients requiring iHD, though it may be associated with an increased risk of thrombocytopenia. image

ABSTRACT Commercial antimicrobial susceptibility testing (AST) systems for gram-negative bacteria provide operational advantages over reference broth microdilution (BMD) testing, but the results produced by commercial AST systems might not be as accurate as the reference method. Assessing and comparing the performance of AST systems can be informative for clinical microbiology practice. In total, 280 clinical isolates and 100 isolates from the U.S. Centers for Disease Control and Prevention Antimicrobial Resistance Isolate Bank, including Enterobacterales and Pseudomonas aeruginosa, were intended to be tested using disk diffusion (DD) and automated commercial AST systems, such as Selux AST System (Selux Diagnostics), MicroScan (Beckman Coulter), Phoenix (Becton, Dickinson and Company), and Vitek 2 (bioMérieux). These results were compared to BMD as the reference standard. In total, 372 isolates were assessed. For Enterobacterales, the greatest frequency of very major errors was identified with cefepime by Vitek 2 (29.0%) and ertapenem by DD (9.1%); essential agreement less than 90% was identified with the following combinations: aztreonam by MicroScan (86.4%), aztreonam by Vitek 2 (88.9%), cefepime by Selux (86.3%), cefepime by Vitek 2 (76.8%), ceftazidime by Vitek 2 (89.9%), and levofloxacin by MicroScan (83.4%). For P. aeruginosa , essential agreement less than 90% was identified with the following combinations: gentamicin by Selux (87.2%), tobramycin by Selux (86.6%), and ciprofloxacin by Phoenix (88.4%). Overall, antimicrobials that had low demonstrable bias across all automated commercial AST systems included ampicillin, amoxicillin-clavulanate, ceftazidime-avibactam, ertapenem, and trimethoprim-sulfamethoxazole. Comparing commercial testing systems head-to-head against a reference standard provides insight into the strengths and weaknesses of the performance of these test systems, and these insights can subsequently inform local decisions regarding further investigations and potential operational mitigation strategies. IMPORTANCE This study assessed and compared the performance of multiple commercial antimicrobial susceptibility testing (AST) systems and disk diffusion methods. The accuracy of determining minimum inhibitory concentrations or zone diameters of antimicrobials and the associated interpretive categories were studied for 372 isolates of Enterobacterales and Pseudomonas aeruginosa . Performance of the evaluated systems revealed that multiple antimicrobial-organism combinations were below the standards typically required by regulatory agencies and clinical laboratories. These deficiencies varied across the commercial platforms and disk diffusion methods, highlighting the importance of benchmarking studies that compare the performance using identical isolates. These identified performance weaknesses may warrant further study and/or the implementation of mitigation strategies in clinical laboratory operations to prevent the reporting of errant results.

ABSTRACT Introduction Patients often receive propofol for sedation and clevidipine for hypertension in the intensive care unit. Both agents are formulated as a lipid emulsion, which may increase the risk of hypertriglyceridemia and acute pancreatitis with their coadministration. We aimed to determine the incidence of hypertriglyceridemia and acute pancreatitis with concurrent administration of propofol and clevidipine and identify patient risk factors for hypertriglyceridemia. Methods This was a multicenter retrospective study of adult patients (≥ 18 years old) receiving concurrent propofol and clevidipine infusions for ≥ 6 h. The primary outcome was the frequency of triglyceride levels greater than 400 mg/dL and acute pancreatitis. The secondary outcome was risk factors associated with hypertriglyceridemia during concurrent propofol and clevidipine infusions until both infusions had been discontinued. Univariable and multivariable logistic regression analyses were used to assess risk factors of hypertriglyceridemia in patients receiving concurrent propofol and clevidipine infusions. Results Across 1,226 patients, the median duration of infusion overlap was 12.4 [interquartile range (IQR) 8.3, 22.7] hours. The mean age of the cohort was 59.6 [standard deviation (SD) 14.9] years, and 59.4% were male. Assuming those without a triglyceride level drawn did not have hypertriglyceridemia, hypertriglyceridemia after initiation of propofol and clevidipine infusion was found in 7.7% [95% confidence interval (CI) 6.3% to 9.3%] of the entire cohort. Twenty‐six patients (2.1%) had a diagnosis of pancreatitis after initiation of lipid infusions, of which 12 cases were possibly infusion‐related, and one case was likely infusion‐related. After calculating the Naranjo Scale, all 13 cases of pancreatitis were possibly related to propofol or clevidipine infusions. Based on a multivariable logistic regression of those with a triglyceride level available, risk factors for hypertriglyceridemia included pancreatitis within the past 5 years [adjusted odds ratio (aOR) 2.77, 95% CI, 1.23 to 6.23] and statin use (aOR 1.94, 95% CI, 1.13 to 3.34). Conclusions In our cohort of patients receiving concurrent propofol and clevidipine, the frequency of hypertriglyceridemia and acute pancreatitis was low. Further comparative studies are warranted to assess the risk of pancreatitis with the addition of clevidipine to propofol.

Objectives: Women with a history of breast cancer are at increased risk of developing subsequent breast cancer, including ipsilateral recurrence and contralateral new primary breast cancer. This study evaluated the discriminatory performance of a mammogram-based artificial intelligence (AI) risk model for predicting subsequent breast cancer within one year after a negative screening mammogram. Methods: This enriched retrospective case–control study included women with a prior history of breast cancer who underwent screening digital breast tomosynthesis between January 2018 and December 2023 at three affiliated academic breast imaging centers. Digital breast tomosynthesis examinations classified as BI-RADS 1 or 2 were retrospectively analyzed using the ProFound AI® Risk model version 1.0 to estimate 1-year breast cancer risk. Patients were classified according to whether they developed subsequent breast cancer within one year of the index screening examination. Model discrimination was evaluated using receiver operating characteristic analysis. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated at an exploratory cutoff selected by maximizing the Youden index. Results: The study included 96 women (mean age, 65.3 ± 8.7 years), of whom 32 developed subsequent breast cancer within one year, and 64 did not. The mean AI risk score was significantly higher in the subsequent breast cancer group than in the control group (1.18 ± 0.59 vs. 0.49 ± 0.41; p < 0.001). The AI model demonstrated an AUC of 0.824 (95% CI: 0.728–0.921). At an exploratory cutoff of 0.39, sensitivity was 81.3%, specificity was 76.6%, PPV was 63.4%, and NPV was 89.1%. In separate exploratory analyses, the AUC was 0.790 (95% CI: 0.641–0.939) for ipsilateral recurrence and 0.860 (95% CI: 0.752–0.974) for contralateral new primary breast cancer. AI risk scores were not significantly correlated with tumor size or age at subsequent breast cancer diagnosis. Conclusions: In this enriched retrospective case–control study, higher mammogram-based AI risk scores were associated with subsequent breast cancer within one year after a negative screening examination. The model demonstrated discriminatory performance for both ipsilateral recurrence and contralateral new primary breast cancer; however, these analyses were exploratory. Because the cohort was enriched for subsequent breast cancer events, the reported predictive values are specific to the study sample and should not be extrapolated to routine surveillance populations. Larger prospective cohorts are needed to validate discrimination, calibration, and clinical utility.

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.

Background: Itraconazole is the preferred antifungal agent for mild to moderate histoplasmosis and step-down therapy following amphotericin B treatment. Although hydroxy-itraconazole, a major metabolite of itraconazole, displays antifungal activity comparable with that of the parent compound, its role in therapeutic drug monitoring targets for histoplasmosis remains uncertain. Methods: The objective was to compare clinical outcomes and adverse events using itraconazole parent-compound concentrations alone versus combined itraconazole and hydroxy-itraconazole concentrations in patients treated for histoplasmosis. This retrospective cohort study included adults with probable or proven histoplasmosis who received itraconazole and had at least 1 documented serum concentration. The primary outcome was clinical response across 3 groups: (1) parent (itraconazole parent-compound concentration >1.0 mcg/mL), (2) combined (parent-compound concentration <1.0 mcg/mL with combined itraconazole plus hydroxy-itraconazole >1.0 mcg/mL), and (3) subtherapeutic (failure to reach either threshold). Treatment response and adverse events were analyzed using the Fisher exact test. Results: Among 108 patients (parent, n = 40; combined, n = 40; subtherapeutic, n = 28), response rates differed across groups (parent (95%); combined (90%); subtherapeutic (67.9%); P = 0.006). There was no difference between the parent and combined groups. Adverse events did not differ, although drug discontinuation occurred more frequently in the subtherapeutic group (parent (5%); combined (20%); subtherapeutic (25%); P = 0.04). Conclusions: Patients who failed to achieve either an itraconazole concentration >1 mcg/mL or a combined itraconazole plus hydroxy-itraconazole concentration >1 mcg/mL had lower response rates. Similar outcomes among patients achieving the itraconazole target alone and those achieving the combined target suggest that hydroxy-itraconazole concentrations may contribute to therapeutic drug monitoring targets in histoplasmosis.