Citations

ABSTRACT Background Evaluating fairness in artificial intelligence (AI) is essential before clinical implementation to prevent unintended harm across diverse patient populations. This study assesses performance differences of an image-based surgical site infection (SSI) detection model across age, gender, geography, race, and skin color. Methods Model development/validation study using retrospective, multicenter data across surgical subspecialties from adults who submitted an image of their incision via the electronic health record within 30 days of their procedure between 2019-2024. Area under receiver operating curve (AUROC) was compared by age (<55 vs. ≥55 years old), gender (male vs. female), geography (Rochester, Minnesota vs. Jacksonville, Florida vs. Scottsdale, Arizona vs. regional Minnesota/Wisconsin areas), race (White/Caucasian vs. non-White/Caucasian), and skin color (Fitpatrick I-III vs. IV-VI and Monk A-E vs. F-J). Results Training data contained 13,702 images from 4,274 patients between 2019-2022 (50.1% ≥55 years old; 63.2% female; 91.6% White/Caucasian; 58.5% Rochester, 17.3% Florida, 10.5% Arizona; 96.3% light skin tone), of which 1,348 images (9.8%) had an SSI. No differences in SSI detection existed for age, gender, race, or skin color (AUROC 0.83-0.87, p>0.09), however geographical differences were significant: lowest AUROC 0.83 (95% CI 0.77-0.88) vs. highest AUROC 0.87 (95% CI 0.84-0.89, p=0.01). Temporal validation using 4,242 images from 1,353 patients between 2022-2023 showed intact fairness across subgroups (ΔAUROC ≤0.06) except geography (ΔAUROC ≤0.16). Conclusions The model behaved fairly across age, gender, race, and skin color, however geographical differences persisted. These findings have practical implications underscoring the importance of evaluating bias in clinical AI before deployment.

Abstract Background: Clostridium ramosum ( C. ramosum ) is an anaerobic gram-positive bacillus of the human intestine and a rare cause of bacteremia. This retrospective cohort study evaluated clinical characteristics and outcomes of a multicenter cohort of adults with C. ramosum bacteremia. Methods: This multicenter retrospective cohort included adults (≥ 18 years) with true C. ramosum bacteremia at Mayo Clinic hospitals in Arizona, Florida, Minnesota, and Wisconsin from September 1, 2012, through December 31, 2025. Data were collected through search for C. ramosum in microbiological culture records. Clinical characteristics assessed included immune status, source of bacteremia, presence of sepsis, neutropenic fever, monomicrobial vs. polymicrobial bacteremia, antimicrobial resistance patterns, antimicrobial therapy, length of stay and 30-day all cause mortality. Exploratory odds ratios (ORs) with 95% confidence intervals (CIs) were reported. Results: Among 90 patients with a positive C. ramosum blood culture, 17 were classified as contaminants and 73 comprised the study cohort. Median age was 66.0 years (IQR, 56.0–75.0); 44 (60.3%) were male and 33 (45.2%) were immunocompromised (including 26 with active malignancy, while the remaining 7 were received biologic immunosuppression). The most common infection sources were gastrointestinal (32/73, 43.8%) and central line-related (8/73, 11%). At presentation, 50.7% of patients met criteria for sepsis and 15/73 (20.5%), were in septic shock. Of 73 isolates tested, 31/73 (44.3%) were clindamycin resistant and 9/73 (12.9%) tested intermediate. Anaerobic-active antimicrobial therapy was received by 53/73 (72.6%). Thirty-day mortality was 11/73 (15.1%). Mortality was 30.0% (6/20) with therapy without reliable anaerobic activity and 9.4% (5/53) with anaerobic-active antimicrobial therapy (OR, 4.02; 95% CI, 0.88–19.46; P = 0.060). The median hospital LOS was 8.0 days. Among 30-day survivors, anaerobic active antimicrobial therapy was associated with a shorter median LOS compared to therapy without reliable anaerobic activity (8.5 vs. 12.0 days). Immunocompromised patients had higher odds of monomicrobial C. ramosum bacteremia than immunocompetent patients (OR 3.16, 95% CI 1.19–8.39; p = 0.03). Patients with polymicrobial bacteremia had higher odds of sepsis (OR, 3.89; 95% CI, 1.43–10.55; P = 0.008) and septic shock (OR, 5.66; 95% CI, 1.17–27.36; P = 0.020). Patients with malignancy or neutropenia demonstrated significantly lower odds of presenting in septic shock (p = 0.018; p = 0.029 retrospectively). Microbiological clearance was achieved in 91.3% (42/46) of evaluable cases. Conclusions: This largest reported cohort defines the clinical and microbiological profile of C. ramosum bacteremia. Frequent clindamycin nonsusceptibility is clinically actionable. Several clinical associations found on univariable analysis should be further investigated in larger studies.

Abstract Background Women remain underrepresented in alcohol use disorder (AUD) research despite sex- and gender-specific health disparities and barriers to treatment. Community-engaged approaches can identify opportunities for patient-centered comparative effectiveness research (CER) that reflect women’s lived experiences. The WomenWise project used community engaged, bi-directional, partnered learning sessions (PLS) to qualitatively explore women’s perspectives on alcohol misuse, treatment barriers, and priorities for future CER. Methods In 2025, we conducted five 90-minute PLSs via Zoom with attendees who were aged ≥ 18 years, self-identified as a woman, reported lived experience of alcohol misuse, were a family member/caregiver of a woman with AUD, and were affiliated with a WomenWise partner organization or a healthcare provider treating AUD. Moderated PLSs focused on bi-directional knowledge exchange and sharing of experiences. Audio transcripts, Zoom chat content, and one asynchronous online discussion thread were analyzed using reflexive thematic analysis. Suggested future CER topics generated during sessions were presented to the WomenWise community advisory board (CAB), which ranked priority topics by vote. Results In total, 51 attendees shared their experiences. The major themes centered on a sense of shame and stigma unique to women, with many attendees mentioning gendered norms, “mom culture,” “quiet drinking,” and caregiver role strain. Barriers to treatment included structural challenges, poor healthcare provider communication, the need for trauma-informed care, and concerns about privacy particularly in rural areas. Six future CER topics emerged, of which the CAB selected three priorities: (1) harm reduction/moderation versus abstinence-only approaches, (2) trauma-focused care versus standard AUD treatment, and (3) care access and engagement strategies. Conclusions These bidirectional, co-learning sessions identified patient-centered, community-informed priorities for future AUD research in women. The findings highlight the importance of addressing stigma, trauma, structural barriers, and provider communication when designing future women-centered treatment studies and care models.

ABSTRACT Background Few studies have examined pretransplant CD4 count and risk of post‐kidney transplant (KT) infection in persons with HIV (PWH). Methods This multi‐center, retrospective cohort study included adult PWH undergoing KT from 2004 to 2019. The primary outcome was infection in the first year post‐KT in PWH with pretransplant CD4 < 350 cells/µL versus CD4 ≥ 350 cells/µL. Relative risk was assessed using modified Poisson modeling. Restricted mean survival time analysis was used to assess 5‐year posttransplant outcomes. Results Of the 75 patients included, 27% had a pretransplant CD4 < 350 cells/µL. Those with CD4 < 350 versus CD4 ≥ 350 were more likely to be hospitalized for infection in the first year (55% versus 16%, p = 0.001). There were no significant differences in relative risk of infection in the first‐year posttransplant (RR: 1.31, p = 0.053), 5‐year overall survival (87.5% vs. 93%, p = 0.49) or 5‐year graft loss (29.4% vs. 23.1%, p = 0.61) betweengroups. Conclusion These findings suggest that pretransplant CD4 count alone may not reflect the true risk of post‐KT infection in PWH.

Polycystic kidney disease (PKD) arises from mutations in cilia-associated genes, such as PKD1 and PKD2 , expressed in renal epithelial cells, leading to progressive kidney dysfunction and end-stage kidney disease (ESKD). PKD patients exhibit significant heterogeneity in disease progression, largely due to genetic and environmental modifiers. Like patients, mouse models of PKD also exhibit significant heterogeneity with regards to the gene mutated, age of disease onset, and rate of disease progression. To elucidate the cellular and molecular consequences of these variables, we constructed an integrated single-cell RNA sequencing atlas across mouse models of PKD, mapping changes in cell type composition, gene expression, and intercellular signaling networks across the whole atlas and within individual models. Across models, single cell RNA sequencing (scRNAseq) data revealed increased Spp1 (osteopontin) expression and signaling from PKD-enriched clusters. Global deletion of Spp1 in Pkd1 RC/RC mice resulted in a modest reduction in cyst severity and improved kidney function. From these studies, we created a freely available, searchable website (https://bmblx.bmi.osumc.edu/scPKD/) that can be used to identify cross- and intra-model changes in gene expression, guiding researchers to new therapeutic targets for treating PKD.

ABSTRACT Beta‐lactam antibiotics (beta‐lactams) are first‐line treatments for most major infectious syndromes in acutely ill patients, with in vitro activity against common pathogens, demonstrated efficacy in trials, and a perceived low risk of adverse effects. The current dosing approach, informed by population‐level data, tends to be simplistically reduced to a “one size fits all” dosing method which only accounts for body weight (i.e., in pediatrics) and end organ function to estimate drug clearance (e.g., estimated glomerular filtration rate); this approach results in substantial variability in observed serum concentrations in acutely ill patients, which can compromise real‐world effectiveness and safety. Beta‐lactam dose individualization, therefore, defined as a dosing regimen for one patient informed by measured concentrations from that patient, has been recommended in international clinical guidelines. Comprehensive guidance on best practices for beta‐lactam dose individualization is lacking. To address this knowledge gap and develop guidance, a multidisciplinary panel of international experts was assembled from the disciplines of infectious diseases, critical care, pharmacometrics, and laboratory medicine, representing both adults and pediatrics. The panel systematically evaluated the literature, using the GRADE approach where feasible, to address broad thematic questions pertaining to whether beta‐lactam dose individualization should be pursued, for what indications beta‐lactam dose individualization is warranted, and the most critical considerations and best practices for implementation of beta‐lactam individualization. The resultant consensus recommendations will equip healthcare professionals caring for acutely ill patients treated with beta‐lactam therapy with the evidence and tools necessary to guide optimal use of beta‐lactam dose individualization.

Abstract Background Breast cancer is etiologically heterogeneous, but which risk factors differ in their associations across tumor subtypes remains unclear. We conducted a large, pooled analysis to evaluate independent, dose-response associations between breast cancer risk factors and quantitative tumor features. Methods Analyses of 15,731 invasive breast cancers from 24 studies evaluated associations (p-trend) between reproductive and hormonal factors, body mass index (BMI), alcohol, smoking, and family history in relation to quantitative immunohistochemistry measures on tissue microarrays (ER, PR, HER2, KI67, TP53) and tumor grade. Analyses in a subset of 10 population-based studies estimated subtype-specific odds ratios (ORs) comparing cases to controls. A Bayesian False Discovery Probability (BFDP) &lt;0.2 was used to identify associations with strong statistical evidence. Results Nulliparity and later age at menopause were associated with higher ER-positivity (p-trend=0.021 and 0.001, respectively), with corresponding OR[ER+] (95% CI) = 1.49 (1.16-1.90) for nulliparous vs. parous and 1.07 (1.03-1.11) per 5 years. Current combined menopausal hormone therapy (MHT) use was associated with lower grade (p-trend&lt;0.001), with OR [grade1] = 3.37 (2.69-4.21) for current vs. never users. Higher BMI was associated with lower ER-positivity and higher grade in premenopausal women (p-trend&lt;0.001 and &lt;0.001), with OR[ER+] = 0.80 (0.74-0.87) and OR[grade1] = 0.75 (0.63-0.88) per 5 units, and with higher PR-positivity and higher grade in postmenopausal women (p-trend&lt;0.001 and &lt;0.001), with OR[PR+] = 1.08 (1.03-1.14) and OR[grade 3] = 1.10 (1.04-1.17) per 5 units. Conclusion This pooled analysis of 15,731 cases showed that nulliparity, age at menopause, MHT, and BMI have independent, dose-response associations with ER, PR, and grade, clarifying patterns of etiologic heterogeneity. Associations with HER2, KI67 and TP53, or other risk factors did not meet our threshold for strong evidence.

Objective Magnetic resonance imaging (MRI)‐visible enlarged perivascular spaces (PVS) are markers of cerebral small vessel disease (SVD) and aging, processes implicated in both neurodegenerative and cerebrovascular pathologies. However, longitudinal positron emission tomography (PET) studies examining PVS as a mechanism underlying Alzheimer's disease (AD) pathophysiological progression are lacking. Our overall objective was to investigate the associations of baseline PVS burden with white matter hyperintensity (WMH) volume, amyloid‐PET, and tau‐PET, both cross‐sectionally and longitudinally. Methods We examined 2,229 participants across the aging‐AD spectrum from the Mayo Clinic Study of Aging (MCSA) and the Mayo Alzheimer's Disease Research Center (ADRC) (mean age = 68.59 ± 12.70 and 48.94% women). PVS and WMH were quantified using a novel in‐house algorithm. Amyloid on [ 11 C]Pittsburgh Compound B (PiB)‐PET and tau on AV1451‐PET were measured. Cross‐sectional regional and global associations were examined using canonical correlation analysis (CCA). Longitudinal associations were examined using age‐ and sex‐adjusted linear mixed effect (LME) models with natural splines and subject‐wise 10‐fold cross‐validation. Result Three distinct associations were observed: (1) PVS in the basal ganglia (PVS‐BG) was associated with greater WMH volume both cross‐sectionally and longitudinally; (2) PVS‐BG covaried with higher PiB standardized uptake value ratio (SUVR) cross‐sectionally, with longitudinal trajectory associations limited to amyloid‐negative individuals; (3) PVS in the centrum semiovale (PVS‐CSO) was not associated with amyloid or tau, but was associated with occipital WMH, a pattern characteristic of CAA. Interpretation Findings lend support for PVS‐BG as an early indicator of small vessel dysfunction and WMH pathogenesis. Individuals with higher PVS‐BG burden exhibited higher WMH burden and faster WMH progression, suggesting that PVS‐BG may identify individuals at increased risk of progressive SVD. Evidence linking PVS to downstream AD biomarker progression was weaker. Findings support the relevance of PVS‐CSO to CAA, suggesting that they may reflect changes occurring early in the disease process. ANN NEUROL 2026

Abstract Background Spinocerebellar ataxia type 3 (SCA3), the most common autosomal dominant ataxia, is driven by the accumulation of polyglutamine‐expanded (polyQ) ATXN3 proteins. While promising as biomarkers, their longitudinal trajectories across multiple biofluids remain poorly defined. Objectives To quantify polyQ ATXN3 levels in cerebrospinal fluid (CSF), plasma, and urine within a comprehensive cohort, utilizing serial measurements to map protein dynamics. Methods We employed a validated immunoassay to quantify polyQ ATXN3 in 97 symptomatic and 13 presymptomatic SCA3 patients, correlating levels with clinical features, ancestry, disease status, and longitudinal progression. Results Asian participants exhibited lower plasma but elevated urinary polyQ ATXN3 levels relative to other ancestries. While CSF levels were higher in symptomatic patients at baseline, they showed a significant longitudinal decline. Conclusions PolyQ ATXN3 is a viable multi‐biofluid biomarker. Declining CSF levels likely reflect neurodegeneration, supporting its role in tracking progression and emphasizing the need for ancestry‐based adjustment in trials. © 2026 International Parkinson and Movement Disorder Society.