Citations

Purpose The purpose of this study was to compare graft failure and clinical outcomes following primary anterior cruciate ligament reconstruction (ACLR) using quadriceps tendon autograft (QA), with or without a modified Lemaire lateral extra‐articular tenodesis (LET). Methods Patients with ACL deficiency who underwent primary QA ACLR with or without LET and completed at least 2‐year follow‐up were included. Patients with a Beighton score ≥4, a preoperative pivot shift grade ≥2, or an intention to return to cutting and pivoting sports were offered LET. The primary outcome variable assessed was graft failure as defined by graft rupture or grade ≥2 pivot shift at any point postoperatively. Secondary outcomes included return to sport clearance rates, the International Knee Documentation Committee and Lysholm scores and postoperative complications. Results There were 122 undergoing QA ACLR with LET (QA + LET group) and 152 undergoing isolated QA ACLR (QA group). The QA + LET group had a significantly lower failure rate of 14.8% versus 29.6% in the QA group ( P = .02). In addition, the QA + LET group had a lower residual pivot shift rate compared with the QA group (11.3% vs. 26.3% respectively; P = .01). There was no difference in graft retear rates between the 2 groups ( P = .37). The QA + LET returned to sport significantly faster at 8.8 months compared with 9.7 months in the QA group ( P = .038). Conclusions The addition of LET to QA ACLR was associated with a significantly lower overall graft failure rate and lower percentage of patients with residual pivot shifts after ACLR compared with QA alone at 2‐year follow up. However, there was no difference between the 2 groups with regard to graft retear rates. The addition of an LET to QA ACLR also allowed athletes to return to sports faster compared with QA alone. Level of Evidence Level III, retrospective comparative study.

Emerging evidence links veno-venous extracorporeal membrane oxygenation (VV-ECMO) to right ventricular (RV) dysfunction, but the relative contribution of ECMO versus underlying disease progression remains unclear. We conducted a multicenter, retrospective, propensity-matched study including 408 intubated acute respiratory distress syndrome (ARDS) patients who were admitted between January 2020 and October 2024 in a quaternary referral hospital network within the United States and underwent at least two transthoracic echocardiograms (TTEs) after intubation. Using 1:2 propensity score matching, we adjusted for baseline comorbidities, baseline hemoglobin, lactate, and worst PaO 2 /FiO 2 ratio (P/F). Longitudinal echocardiographic changes were analyzed with a cumulative link mixed model (CLMM), evaluating RV size and function as ordinal outcomes. Within 408 patients (112 received ECMO support), propensity matching identified 55 ECMO and 110 non-ECMO patients with balanced baseline characteristics. Among 469 serial echocardiograms, RV size and function worsened more frequently in ECMO patients. In longitudinal modeling, ECMO use alone was not associated with RV dilation ( p = 0.23) or dysfunction ( p = 0.43). However, longer ECMO duration was associated with RV dilation (OR: 1.04 per day, p = 0.004) and dysfunction (odds ratio [OR]: 1.04 per day, p < 0.001). Higher ECMO circuit flow had a trend toward progressive RV dilation and dysfunction but did not reach statistical significance. These findings highlight the need for vigilant RV monitoring during ECMO support.

ABSTRACT Introduction Chronic gastroduodenal disorders remain challenging to manage, and new diagnostic approaches are needed to better delineate underlying causes and guide therapeutic decisions. Body Surface Gastric Mapping (BSGM) technologies combine high‐resolution gastric myoelectrical activity measurements with symptom and psychological profiling to provide mechanistic insights into gastric motor and sensory dysfunction. An International Working Group convened to derive the first consensus classification of BSGM phenotypes (the “Auckland Classification”). Methods A Technical Group conducted a systematic literature and clinical database review to identify objective test biomarkers and candidate disease mechanisms. Evidence was synthesized across 50 studies (primarily in gastroparesis, chronic nausea and vomiting, and functional dyspepsia), and BSGM phenotypes were mapped to existing treatment guidelines. Subsequently, iterative review and development of consensus was performed by a Consensus Group composed of international clinical experts familiar with BSGM. Eleven statements underlying the classification were then derived and circulated as a final survey to establish agreement. Results Six BSGM phenotypes were endorsed: three defined by myoelectrical abnormalities (Dysrhythmic, High Frequency, and Low Meal Response) and three by characteristic symptom associations (Sensorimotor, Continuous, and Delayed Onset Symptoms). Published studies plausibly linked these phenotypes to mechanisms including interstitial cell of Cajal depletion, vagal impairment, hypomotility, visceral hypersensitivity, gut‐brain dysregulation, and small bowel dysfunction. Phenotypes were also mapped to existing mechanism‐based treatment guidelines. Ten out of the eleven statements had > 80% agreement. Conclusions The Auckland Classification, derived by international consensus, presents a structured framework for BSGM‐defined patient phenotypes. Evidence and mechanism‐based treatment options are suggested for each phenotype to provide a foundation for research, further validation, and a pathway for integrating BSGM into clinical care.

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.

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system in which environmental factors play an important role in shaping disease risk, activity, and progression. Over the past decade, human and experimental studies have consistently shown alterations in the gut microbiome across the phenotypic spectrum of MS and have linked these changes to immune dysregulation, barrier dysfunction, neuroinflammation, and demyelination. Additionally, emerging evidence indicates that microbial function, particularly metabolite production plays a more direct role in shaping immune responses and associated neuropathology. Evidence from both human studies and experimental autoimmune encephalomyelitis models supports a functional role for microbial metabolites in shaping neuroimmune responses. Bacterially derived metabolites such as short-chain fatty acids, bile acids, polyamines, phytoestrogen metabolites, and tryptophan-derived compounds can influence T-cell differentiation, glial activation, epithelial integrity, and neuroimmune communication. Recent longitudinal studies also show associations between metabolite profiles and disability worsening. Because disease-modifying therapies, diet, and microbiome-directed interventions can reshape microbial metabolism, microbial metabolites may represent promising therapeutic targets in the gut-immune-brain axis. In this Review , we integrate current evidence to propose a mechanistic framework in which microbial metabolites act as central regulators of mucosal and systemic immunity that influence different aspects of MS biology. We discuss how this perspective shifts gut microbiome research from descriptive associations to biological mechanisms that more directly link the gut to immune responses and downstream neuropathology. We then evaluate therapeutic strategies that target microbial metabolism and outline key priorities for longitudinal, multi-omics, and interventional studies that are needed to enable microbiome-informed precision therapies in MS.

Aims Reverse shoulder arthroplasty (RSA) after prior rotator cuff repair (RCR) is commonly performed for recurrence of pain and arthritic progression; however, the influence of prior RCR timing and technique on outcomes of RSA has not been adequately explored. Our primary aim was to evaluate the relationship between the postoperative American Shoulder and Elbow Surgeons (ASES) score, whether prior RCR was performed open or arthroscopic, and the time interval between RSA and prior RCR. Secondary outcomes were forward elevation (FE) and external rotation (ER). Methods A prospectively collected single-institution shoulder arthroplasty database was queried to identify patients undergoing primary RSA after prior RCR between 2004 and 2022 for non-tumour and non-fracture indications with minimum two-year follow-up. We evaluated the relationship between the postoperative ASES score, FE, and ER stratified by prior RCR approach (open vs arthroscopic) and time between RSA and RCR. Multivariable analysis was used to adjust for potential confounders. Results We included 104 RSAs (99 patients) with a mean 8.8 years (SD 7.3) after RCR and a mean age of 68 years (SD 8.3). Prior RCR was performed arthroscopically in 40 RSAs (38%). Mean follow-up was 4.8 years (SD 2.8). On multivariable analysis, arthroscopic RCR was independently associated with a 13-point greater postoperative ASES score (p = 0.008), 14° greater forward elevation (p = 0.011), and 8° greater external rotation (p = 0.018) compared with open RCR. A ten-year increase in time between RCR and RSA was associated with a seven-point greater postoperative ASES score (p = 0.029) and 5° greater external rotation (p = 0.015). Conclusion A greater time interval between prior RCR and RSA, as well as arthroscopic techniques, is associated with improved outcomes after primary RSA in patients with prior RCR. Cite this article: Bone Joint J 2026;108-B(7):928–935.

Abstract Current genomic assays provide prognostic information and guide chemotherapy decisions in early-stage hormone receptor–positive/human epidermal growth factor receptor 2–negative (HR+/HER2−) breast cancer, but limited tissue sampling may incompletely capture tumor heterogeneity. We developed and validated an image-based artificial intelligence (AI) model integrating dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and clinicopathologic features to predict recurrence risk in early-stage HR+/HER2 − breast cancer. In this retrospective multi-institutional study, the model was trained using pre-treatment imaging and clinicopathologic data from 522 patients and independently validated in 550 additional patients treated between 2010 and 2023. By analyzing spatial tumor characteristics, the model generated individualized recurrence risk scores that outperformed clinicopathologic features alone. In the validation cohort, median age was 53 years (range, 24–90), 15.6% of patients self-identified as African American, 89.7% had clinical T1–T2 disease, and 34.4% had 1–3 positive lymph nodes. Five-year recurrence-free survival was 93.8% (95% CI, 90.0–96.2%) among patients classified as low risk compared with 82.6% (95% CI, 74.8–88.1%) among those classified as high risk, corresponding to an adjusted hazard ratio of 2.28. Prognostic performance was maintained across clinically relevant subgroups, including age and nodal status. These findings support the potential of a noninvasive image-based AI approach for real-time prognostication and treatment personalization in early-stage HR+/HER2 − breast cancer.

ABSTRACT Background Disparities in management of atrial fibrillation in rural and urban hospitals across the U.S. have been reported. However, studies investigating disparities regarding outcomes and complications after left atrial appendage occlusion (LAAO) based on hospital location are lacking. Objective To evaluate differences in outcomes and complications related to LAAO among rural and urban hospitals. Methods The National Inpatient Sample was used to identify patients who underwent LAAO implantations in the U.S. from 2016−2020. Study endpoints assessed included inpatient complications, outcomes, and resource utilization after LAAO procedures among rural and urban hospitals. Results From 2016−2020, there were a total of 87 315 and 1985 LAAO device placements in urban and rural hospitals, respectively. Baseline characteristics were similar among both groups, with a few exceptions. After multivariable adjustment for confounders, odds of inpatient complications and mortality were similar among both groups. However, rural LAAO recipients experienced greater rates of discharge to an acute care facility (3.3% vs 2.4%, p = 0.01), as well as lower costs (aOR: 0.58, 95% CI: 0.49–0.69) and length of stay (aOR: 0.89, 95% CI: 0.81–0.98). Conclusions A majority of LAAO implantations occurred in urban hospitals in the U.S. Baseline characteristics and adjusted odds of inpatient complications and mortality were similar in rural and urban recipients. However, important differences were described regarding resource utilization and disposition. Further investigation into the specific factors driving these inequities is encouraged to promote improved access to and outcomes of cardiovascular care for rural residents.

The Ajmera Transplant Center and Mayo Clinic hosted the third annual Transplant Artificial Intelligence (AI) Symposium in Toronto, Canada, bringing together expert clinicians, researchers, scientists, and trainees to discuss the current role of AI in transplant medicine. This paper summarizes the third annual Transplant AI Symposium proceedings and talks. Presentations covered a wide range of topics across the transplant continuum, highlighting numerous benefits of AI in transplantation such as organ matching, human-AI collaboration, and survival/risk prediction. Artificial intelligence is most useful when linked to specific clinical problems, especially those involving multimodal or longitudinal data. However, speakers also emphasized ongoing limitations in data quality, generalizability, workflow integration, and fairness. Multiple presentations highlighted the importance of clinician oversight. Overall, the symposium highlighted that the future of transplant AI will depend on careful validation, clinically meaningful implementation, and attention to patient outcomes ( Figure 1 ).