Citations

Background Studies suggest that hypoperfusion from heart failure (HF) may contribute to cognitive decline. However, the relationship between the HF subtypes and cognition remains poorly described in real‐world populations. Methods We conducted a cross‐sectional study of patients aged ≥18 years seen at the Mayo Clinic in 2022 who underwent echocardiogram and cognitive assessment within 1 year. HF was classified per the 2022 American Heart Association as no HF, HF with preserved ejection fraction (EF), HF with mildly reduced EF, and HF with reduced EF. Cognitive impairment was categorized using the Montreal Cognitive Assessment score as normal (≥26), mild (18–25), and moderate to severe (<18). Linear regression assessed EF–Montreal Cognitive Assessment correlation and logistic regression the association between HF subtypes and cognitive dysfunction, adjusting for age, sex, race, and vascular risk factors. Results A total of 1592 patients met inclusion criteria (mean age, 75.7±13.8 years; 48.5% women). Lower EF was associated with worse cognitive performance (postadjustment β=0.033, P =0.013). Patients with HF with reduced EF and patients with HF with preserved EF had significantly lower Montreal Cognitive Assessment scores than those without HF (17.6±6.2 and 18.9±5.8 versus 19.9±6.0, P <0.001). The prevalence of moderate to severe cognitive impairment was highest in HF with reduced EF (43.3%), followed by HF with preserved EF (34.4%), no heart failure (28.6%), and HF with mildly reduced EF (23.4%) (adjusted trend P =0.032). Conclusions HF, independent of ejection fraction alone, is associated with cognitive impairment. Further studies should confirm these findings and evaluate the impact of interventions targeting EF and HF subtypes on cognitive outcomes.

Abstract Accurate, noninvasive biomarkers for diagnosis and longitudinal monitoring of metabolic dysfunction–associated steatohepatitis (MASH) remain an urgent unmet clinical need. Here, we describe an electrochemical immunoassay that involves capturing hepatic extracellular vesicles (EVs) on antibody-modified electrodes followed by detecting EV-borne biomarkers using redox active gold nanoparticles (AuNPs). The intensity of electrochemical redox signal represents a quantitative measure of biomarker abundance. Three MASH-associated biomarkers—S100A11, TNF-α, and TGF-β1—were analyzed on hepatic EVs to assess steatotic, inflammatory, and fibrotic states of the diseased liver. The electrochemical signals for individual biomarkers were added into a composite EV MASH score. Plasma samples from 28 patients with MASH, 22 healthy controls, and 27 patients with non-MASH liver disease were scored in this manner, revealing 100% accuracy in the training cohort and >90% accuracy in an independent validation cohort. Our electrochemical immunosensor represents a minimally invasive liquid liver biopsy, offering a promising alternative to solid liver biopsies for screening and monitoring of MASH. One Sentence Summary Circulating hepatic extracellular vesicles carry biomarkers of liver injury enabling accurate, minimally invasive MASH diagnosis in blood.

Abstract Purpose Bevacizumab is an effective treatment for radiation necrosis; dose dependent radiographic and edema response data are lacking. Methods Multicenter, retrospective cohort study of adult patients with primary central nervous system tumors or brain metastases who received bevacizumab for radiation necrosis between June 2021 and July 2024. Patients were grouped by bevacizumab dose (7.5 mg/kg vs 10 mg/kg administered every three weeks). Primary outcome was edema response, assessed by a blinded neuro-oncologist. Secondary outcomes included contrast enhancing disease response, clinical response, adverse events, treatment discontinuation, and re-dosing for recurrent radiation necrosis. Analyses were performed with and without adjustment for tumor type. Results 104 patients were included (7.5 mg/kg, n = 53; 10 mg/kg, n = 51). Edema response differed between dosing groups in unadjusted analyses (p = 0.032), favoring the 7.5 mg/kg cohort; however, this association was attenuated after adjustment for tumor type. Contrast enhancing disease response did not differ between groups in either unadjusted or adjusted analyses (p = 0.43). Clinical response was higher in the 7.5 mg/kg group (65.2% vs 37.8%, p = 0.013). Tumor type differed significantly between cohorts (p < 0.001), with more primary CNS tumors in the 10 mg/kg group. Rates of adverse events, treatment discontinuation, and re-dosing were similar. Conclusions While lower-dose bevacizumab was associated with greater edema reduction in unadjusted analyses, this effect was attenuated after accounting for tumor type. Importantly, 7.5 mg/kg dosing appeared sufficient for achieving edema control and contrast enhancing disease response. These findings support an individualized approach to bevacizumab dosing in radiation necrosis and highlight the need for prospective, tumor-stratified studies.

Aims Two-stage exchange arthroplasty with an antibiotic-eluting cement spacer remains the predominant strategy in the USA for managing chronic periprosthetic joint infection (PJI) following total hip arthroplasty (THA). The aim of this study was to evaluate a commercially available, partially intraoperatively fabricated articulating high-dose antibiotic cement spacer, focusing on survival, complications, and patient-reported outcomes. Methods A total of 298 patients (302 THAs) underwent two-stage exchange arthroplasty for PJI using a specific articulating antibiotic spacer between August 2005 and May 2022. Patients with a previous failed two-stage exchange were excluded, although 121 THAs (302, 40%) had undergone previous PJI-related procedures. The mean age of the patients was 65 years (SD 11), the mean BMI was 32 kg/m 2 (SD 7), and 116 (38%) were female. Most patients were classified as McPherson host B (158; 52%) and limb grade 2 (165; 55%), and 265 (88%) met the 2011 Musculoskeletal Infection Society criteria. The mean follow-up was six years (2 to 16). Results At five years after reimplantation, survival free of reinfection, aseptic rerevision, any rerevision, or any reoperation were 89% (95% CI 85.2 to 93.1), 93% (95% CI 89.3 to 96.1), 86% (95% CI 81.3 to 90.3), and 80% (95% CI 74.7 to 84.9), respectively. Dislocation accounted for most aseptic rerevisions (15/20). McPherson host C (HR 3.7 (95% CI 1.4 to 9.6); p = 0.007) and limb grade 3 (HR 3.3 (95% CI 1.0 to 11.1); p = 0.049) were significantly associated with an increased risk of reinfection. The mean Harris Hip Score at the latest follow-up was 76 (29 to 100). A total of 17 patients underwent revision or removal of a spacer for concerns about persistent infection and two for dislocation of the spacer. Eight patients underwent a non-rerevision reoperation during the spacer interval for wound drainage (n = 5), dislocation of the spacer (n = 2), and perispacer fracture (n = 1). A total of 26 spacer-related complications were treated nonoperatively (15 perispacer fractures, 11 dislocations). Dislocation of the spacer was strongly associated with dislocation after reimplantation (HR 6.2 (95% CI 2.3 to 16.9); p < 0.001). Conclusion This commercially available, partially intraoperatively fabricated articulating spacer showed excellent reinfection-free five-year survival (89%). Spacer-related fracture and dislocation each occurred in 5% of patients. Dislocation of the spacer significantly increased the risk of dislocation following reimplantation, supporting the use of higher-stability bearings in these high-risk patients. Cite this article: Bone Joint J 2026;108-B(9):1104–1112.

Background Diastolic dysfunction is common in patients with aortic stenosis and may influence outcomes following surgical aortic valve replacement. We aimed to examine the association of preoperative artificial intelligence (AI)‐generated diastolic function grades with early and late outcomes following aortic valve replacement and how postoperative progression influence prognosis. Methods We identified 5503 patients undergoing aortic valve replacement between 2000 and 2023. Diastolic function was assessed using a validated deep‐learning AI model applied to 12‐lead ECGs done preoperatively and on postoperative follow‐up. Diastolic grades were classified by AI into Grades 1 to 3. Longitudinal trend analyses and multivariable regression models were used to assess study end points. Results Among 5503 patients (mean age 72.4±10.8 years; 39% female), higher AI ECG diastolic grades were associated with greater comorbidity burden, including diabetes, renal disease, and heart failure. AI ECG diastolic Grade 3 was independently associated with higher in‐hospital mortality (odds ratio, 2.5; P =0.007) and other complications. At 5‐year follow‐up, patients with Grade 3 showed the least improvement in diastolic function by both ECG and echocardiography. Grades 2 and 3 diastolic function at baseline were independently associated with increased late mortality (hazard ratio, 1.3 and 2.45, respectively; both P <0.001). Additionally, lack of improvement in AI ECG diastolic grade by 1 year was also independently associated with late mortality. Conclusions AI ECG–derived diastolic function grades strongly correlates with early complications and long‐term mortality and diastolic progression after aortic valve replacement. AI ECG provides a powerful, noninvasive tool for risk stratification and longitudinal monitoring of patients with aortic stenosis.