Citations

ABSTRACT Objective To estimate the pooled prevalence of lymphedema among adults with mucosal head and neck cancer treated with radiation therapy. Data Sources PubMed, Embase, Scopus, and Cochrane Library. Review Methods A comprehensive literature search of PubMed, Embase, Scopus, and Cochrane Library (2000–2025) identified cohort, case series, cross‐sectional, and clinical trial studies reporting lymphedema after radiotherapy for head and neck cancer. Logit‐transformed lymphedema prevalence was pooled using a DerSimonian‐Laird random‐effects model with Hartung‐Knapp‐Sidik‐Jonkman variance correction; statistical heterogeneity was evaluated using I 2 . This review was not prospectively registered. Results A total of 26 studies ( n = 3133 patients) met inclusion criteria. The pooled prevalence of lymphedema was 49% (95% CI, 36%–62%), with considerable heterogeneity (I 2 = 94%). Subgroup analyses yielded a pooled prevalence of 37% (12%–71%) for external and 45% (31%–60%) for internal lymphedema. Among studies reporting severity‐graded data, the pooled prevalence of clinically significant (grade ≥ 2) lymphedema was 32% (14%–59%). Lymphedema definitions and assessment methods varied across the included studies, most commonly employing clinical grading. Methodological quality was mixed, reflecting the predominantly retrospective, single‐arm nature of the available evidence. Overall certainty of evidence was very low. Funnel plot inspection and Egger's test suggested small‐study effects ( p = 0.06). Conclusion Lymphedema affects nearly half of patients following radiation for head and neck cancer. These findings may support routine surveillance, early identification, and timely referral for lymphedema management within survivorship care pathways. Future prospective studies should adopt standardized definitions and outcome measures to refine risk estimates and guide prevention strategies. Level of Evidence N/A.

Abstract Background Sarcopenia is common in chronic obstructive pulmonary disease (COPD) and contributes to adverse outcomes. Alpha-1 antitrypsin deficiency (AATD) is the most common genetic cause of COPD, but its impact on skeletal muscle remains to be determined. Methods We performed a retrospective analysis of 487,207 participants in the UK Biobank with available SERPINA1 genotyping. Associations between AAT genotypes and measures of skeletal muscle mass were determined using multivariable linear and logistic regression models. Models adjusted for age, sex, smoking status, genetic principal components, lung function (FEV₁% predicted), and liver fibrosis risk (FIB-4). We determined that the Z-allele was associated with sarcopenia and mortality using regression models and mediation analysis. Results Compared with PI*MM individuals, carriers of the Z allele (PI*MZ, PI*SZ, PI*ZZ) demonstrated significantly lower fat free mass index (FFMI) and appendicular skeletal muscle index (ASMI), as well as higher odds of sarcopenia by binary definition. Associations persisted after adjustment for lung and liver function. A dose-dependent relationship was observed, with the greatest reductions in muscle mass and highest sarcopenia associated with PI*ZZ individuals (adjusted OR for FFMI-defined sarcopenia 2.02, 95% CI 1.16-3.32). Each additional Z allele was associated with increased mortality risk (adjusted OR 1.09, 95% CI 1.02-1.16), with sarcopenia mediating a modest proportion (∼2.6%) of this association. Conclusions. The SERPINA1 Z allele is associated with reduced muscle mass and increased risk for sarcopenia independent of lung and liver disease. Our findings expand the phenotypic spectrum of AATD-related diseases to include skeletal muscle as a modifiable target for intervention.

Background/Objectives: Hospital-at-home (HaH) programs have emerged as an alternative model to brick-and-mortar (BaM) hospital management of acute conditions such as heart failure, pneumonia, pyelonephritis, and chronic obstructive pulmonary disease exacerbation among the others. However, the clinical management of acute pancreatitis in the HaH setting has never been described in the literature. The primary objective of this study was to describe the demographic and clinical characteristics of patients with acute pancreatitis managed in a Mayo Clinic Advanced Care at home (ACH) program. The secondary objective was to describe feasibility and short-term clinical outcomes. Methods: This multistate, multicenter, retrospective descriptive study included 40 unique patients with acute pancreatitis managed at ACH between 13 October 2020 and 1 June 2024. Repeat admissions were excluded from the primary analysis. Results: The most common etiologies were idiopathic (42.5%), gallstone-related (22.5%), and alcohol-related (12.5%). Peripancreatic fluid collections occurred in 17.5%, necrotizing pancreatitis in 10.0%, pleural effusion in 12.5%, and infected pancreatitis in 7.5%. Intravenous antiemetics were administered to 22.5%, intravenous fluids to 62.5%, and intravenous opioids to 7.5%. Median total hospital length of stay was 5.0 days (IQR, 3.0–8.25), including a median of 3.0 days (IQR, 2.0–4.0) in ACH. Four patients (10.0%; exact 95% CI, 2.8–23.7%) were transferred from ACH to BaM care. Seven-day and 30-day readmission rates were 10% (95% CI: 2.8%, 23.7%) and 5% (95%CI: 0.6%, 16.9%), respectively. The 30-day emergency department visit was 0%. Although 30-day mortality was 2.5% (95% CI: 0.0%, 13.2%), in-program mortality was 0%. Conclusions: Among a highly selected group of clinically stable patients meeting the program’s eligibility criteria, management of acute pancreatitis in ACH was feasible and was associated with low observed rates of unplanned escalations and short-term adverse outcomes.

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.

ABSTRACT Purpose This study assesses the association between colorectal cancer (CRC) screening and a validated, housing-based measure of individual-level socioeconomic status (SES, called HOUSES hereafter) within rural communities and determines whether HOUSES-integrated geospatial analysis can be used to tailor interventions. Methods We used CRC screening data from a subset of Mayo Clinic Midwest patients living in cities without ready access to routine care in the Mayo Clinic Health System in 2019 to represent rural communities. At the individual level, we assessed the association between CRC screening rates and the HOUSES index, adjusting for age, sex, race/ethnicity, comorbidity, distance from home address to clinic, and area deprivation index, using a multilevel mixed-effects logistic regression model. Additionally, we conducted geospatial analysis to examine the correlation between hotspots of 1) lower CRC screening rates and 2) lower SES of the subject population (HOUSES quartile 1). Findings Among 34,489 individuals (median age 64.0 years, 52.4% female), those with the lowest SES (HOUSES Q1) had 37% lower odds of being CRC screening adherent than those with the highest SES (HOUSES Q4) (adj. OR [95% CI]: 0.63 [0.58-0.69]). In the 14 identified HOUSES Q1 hotspots, there was a significant correlation in counts of HOUSES Q1 and low CRC screening (correlation coefficient=0.81). Conclusion Lower SES was significantly associated with lower CRC screening among rural populations. HOUSES-enabled geospatial analysis identified geographic hotspots with lower CRC screening rates for targeted interventions to address disparities in CRC screening in rural communities. HOUSES may be a useful digital tool for cancer preventive care and research.

Introduction: Golf is a widely played recreational sport, but degenerative osteoarthritis in older adults can limit participation and performance. This study prospectively evaluates recreational golfers’ performance metrics of play, and clinical outcomes before and after total knee arthroplasty (TKA). Methods: A prospective cohort of 10 recreational golfers undergoing primary TKA were assessed at a professional golf performance center preoperatively and at 3 months, and 1-year postoperatively. The mean age was 72 years, 90% were men, and 50% underwent TKA on the lead leg. . Participants averaged 67 rounds in the year prior to surgery, maintained a handicap index (HCP) of 18. Golf performance metrics (driver and 7-iron), force-plate biomechanics, return-to-play timing, quality of play, and Knee Injury and Osteoarthritis Outcome Score, Junior (KOOS-JR) were analyzed using descriptive statistics. Results: At 1-year postoperatively, the mean changes in driver and 7-iron swing speed (+1.3 and -1.5 miles per hour (mph), respectively, 95% CI: -5, 4.7), ball speed (+3.5 and -2.6 mph, 95% CI: -12.9, 12.3), carry distance (-0.8 and +6.2 yards, 95% CI: -17.7, 17.1), maximum torque (+43 and +85 pounds per foot (lbs/ft), 95% CI: -30, 259), and vertical force (+93 and +119 lbs/ft, 95% CI: -175, 412). All patients returned to full golf rounds playing a mean 8 (SD: +5.7) and 44 (SD: +29.7) rounds by 3- and 12-months, respectively, with no change in HCP (P = 0.9). The KOOS-JR significantly improved (57 to 80, P = 0.01). Conclusion: Recreational golfers safely returned to play after TKA with no significant changes in swing performance or handicap, while patient-reported outcomes improved. These findings suggest TKA enables resumption of golf without compromising performance.

ABSTRACT Problem Patients with threatened preterm labor (PTL) are treated with antibiotics, corticosteroids, and magnesium sulfate to mitigate infection, promote fetal lung maturation, provide fetal neuroprotection and overall minimize the impact of prematurity on the neonate. However, the effect of these drugs on the placental inflammatory profile is unknown even though these are given systemically and reach the placenta. We evaluated their action in an ex vivo model of placental inflammation. Method of Study Placental explants from uncomplicated pregnancies were exposed to lipopolysaccharide (LPS) ± azithromycin, betamethasone, and/or magnesium sulfate. Production (lysate) and secretion (supernatant) of pro‐ and anti‐inflammatory cytokines were assessed by ELISA. Results Both pro‐ and anti‐inflammatory cytokines were increased by LPS versus untreated. Azithromycin, or magnesium sulfate did not alter the inflammatory profile by themselves nor when added at the same time or 24 h after LPS. Betamethasone decreased both pro‐ and anti‐inflammatory cytokines only when administered at the same time as LPS, without any effects if delayed. Conclusions Therapeutic interventions classically used for preterm labor (PTL) do not impact the placental inflammatory profile by themselves or in the context of an ex vivo placental explants model of LPS‐induced inflammation, except for betamethasone when administered concurrently with LPS.

Importance Timely identification of aortic stenosis (AS) is essential for appropriate clinical management, yet screening remains limited by dependence on comprehensive echocardiography and trained imaging personnel. Objective To develop and validate a deep learning algorithm for detection of moderate or greater AS and prospectively evaluate its performance using artificial intelligence (AI)–guided focused cardiac ultrasound (FoCUS) acquired by novice operators. Design, Setting, and Participants This diagnostic study included retrospective algorithm development and validation and prospective evaluation of AI-guided FoCUS across Mayo Clinic sites in the Midwest, Arizona, and Florida. The model was developed using 6753 patients and evaluated in internal validation (n = 852), internal test (n = 844), and validation (n = 1912) cohorts. Performance was assessed on FoCUS acquired by experienced sonographers (n = 602) and prospectively by novice operators (n = 1302). The retrospective model development and validation cohorts comprised studies performed from January 2005 through September 2022. Prospective study was conducted in 2 enrollment periods from June to August 2024 and from June to September 2025. Participants from both periods were combined to comprise the final prospective cohort. Exposure AI-guided FoCUS acquisition and automated deep learning–based assessment for detection of moderate or greater AS. Main Outcomes and Measures Detection of moderate or greater AS. Performance was assessed using area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and positive predictive value. Results The model demonstrated excellent discrimination in the internal test cohort (AUROC, 0.99; 95% CI, 0.98-1.00) and geographically distinct validation cohorts in Arizona (AUROC, 0.99; 95% CI, 0.97-1.00) and Florida (AUROC, 0.99; 95% CI, 0.96-1.00). Among FoCUS examinations acquired by experienced sonographers, sensitivity was 95% (95% CI, 82-99) and specificity was 97% (95% CI, 95-98). In the prospective novice-operator cohort, 1258 of 1302 examinations (96.6%) were suitable for automated analysis. Sensitivity was 93% (95% CI, 82-99) and specificity was 96% (95% CI, 95-97). Expert review of AI-positive and uninterpretable examinations increased the positive predictive value from 49.4% to 91.1%, with sensitivity of 85.4%. Conclusions and Relevance A deep learning algorithm accurately detected moderate or greater AS across validation cohorts in this study. In prospective evaluation, novice operators were able to acquire AI-guided FoCUS examinations that enabled accurate detection of moderate or greater AS. These findings support a scalable strategy that may expand access to AS detection in settings with limited echocardiography resources.