Citations

The rapid adoption of telemedicine has transformed healthcare delivery in the US, enhancing access and communication for surgical patients across wide geographic areas. However, a critical challenge persists: the need to define and standardize quality metrics specifically for telemedicine in surgery. Existing studies suggest that telemedicine can yield equivalent or improved outcomes compared with in-person visits. Nevertheless, literature remains limited in evaluating patient satisfaction, cost-effectiveness, and diagnostic accuracy. Through expert consensus within the American College of Surgeons Board of Governors Telehealth Pillar, we propose a structured framework for defining and implementing quality metrics for surgical telemedicine. This is based on the Donabedian model, addressing structure, process, and outcome, while also considering the distinct phases of surgical care: preoperative, intraoperative, and postoperative. This framework identifies unique domains of telemedicine in surgical care, emphasizing hospital and organizational structure, patient and provider readiness, and policy alignment. A comparative analysis with existing AHRQ and WHO frameworks highlights gaps in surgical applicability. Finally, we propose an implementation roadmap prioritizing immediate, feasible metrics while identifying areas for future validation. Collaboration among researchers, clinicians, and policymakers will be essential to establish these metrics and ensure that telemedicine delivers on its potential to improve surgical care delivery while addressing disparities in access and outcomes.

Background: Long COVID, the chronic sequela of SARS-CoV-2 infection, has affected millions of people worldwide. However, its pathogenesis and treatment remain unknown. To address this critical gap, the National Institutes of Health (NIH) developed the Researching COVID to Enhance Recovery (RECOVER) Initiative that included the Viral Persistence and Reactivation, and Immune Dysregulation (RECOVER-VITAL) study as one of the first of five NIH-sponsored, integrated platform protocols to support the rigorous and rapid investigation of potential interventions for Long COVID. Methods: Experts across academia, the NIH, and the community of patients and caregivers were brought together to design the RECOVER-VITAL protocol. We present the challenges and rationale underpinning critical components of this protocol and provide evidence for use of the platform for efficient execution of current and future Long COVID clinical trials. Facets of the RECOVER-VITAL protocol, including inclusion criteria, intervention groups, study procedures, investigation of biomarkers, and endpoints, were carefully crafted to advance the current and future science and operations of Long COVID clinical trials, particularly in the absence of existing data. The initial trial within the RECOVER-VITAL platform evaluated two durations of an antiviral drug, nirmatrelvir/ritonavir, to test the proposed etiology of viral persistence on the Long COVID symptom clusters of autonomic dysfunction, cognitive dysfunction, and exercise intolerance. The primary outcome measures were patient-reported, and secondary outcomes included performance-based measures for each of the symptom clusters of interest. Conclusions: The RECOVER-VITAL platform protocol has substantial implications for the design and conduct of future Long COVID clinical trials.

Background: Acute traumatic patellar dislocations may cause intra-articular derangements of the knee in the setting of acute and chronic instability which may not always be appropriately identified on magnetic resonance imaging (MRI). Purpose: To determine the rates of coexisting intra-articular pathology in patients with patellar instability requiring medial patellofemoral ligament (MPFL) reconstruction and to report discrepancies between preoperative magnetic resonance imaging (MRI) findings and diagnostic arthroscopy results. Study Design: Cohort study (Diagnosis); Level of evidence, 3. Methods: Patients who underwent MPFL reconstruction at a single institution between 2010 and 2023 were identified. Operative reports and preoperative MRIs were reviewed. Records without full MRI reports as read by a radiologist or cases in which a diagnostic arthroscopy was not conducted were excluded. Intra-articular pathologies noted on MRI and confirmed by arthroscopy were documented. MRI findings were considered to be discordant from arthroscopic findings if a lesion was identified on diagnostic arthroscopy that was not present in the full MRI report and that lesion resulted in additional surgical procedures. Results: There were 331 arthroscopic procedures conducted within the study population of 508 patients who underwent diagnostic arthroscopy at the time of their patellar stabilization procedures. These procedures included 180 loose body removals, 95 osteochondral lesions treated via a variety of interventions including open reduction and internal fixation (26 cases), particulated allograft chondral grafting (30 cases), osteochondral allograft transplantation (9 cases), and microfracture (30 cases), and 39 meniscal tears resulting in 33 partial meniscectomies and 6 meniscal repairs. Among these 508 patients, 105 (21%) demonstrated discordance of preoperative MRI and arthroscopic findings that necessitated additional procedures. This discordance was responsible for a total of 109 (33%) of the 331 arthroscopic procedures. These included 75 loose body removals, 2 osteochondral fracture fixation procedures, 2 microfractures for full-thickness cartilage loss, 16 partial meniscectomies, and 2 meniscal repairs, among others. Conclusion: Among patients undergoing patellar stabilization, 21% had intra-articular lesions not identified on preoperative MRI detected at the time of diagnostic arthroscopy that resulted in surgical intervention. This study, representing the largest cohort to date of patellar stabilization surgeries with both MRI and arthroscopy findings, underscores the importance of diagnostic arthroscopy for improving diagnostic accuracy and addressing associated intra-articular pathology.

Abstract Background Abdominal arterial calcification is a well-established predictor of cardiovascular events and mortality in kidney failure. Autosomal dominant polycystic kidney disease (ADPKD), a common genetic cause of kidney failure, presents with a distinct vascular profile. However, the burden of abdominal arterial calcification in ADPKD remains inadequately characterized. Clarifying these differences may improve cardiovascular risk stratification and transplant timing. Methods We conducted a retrospective cohort study of 4088 adult patients listed for kidney transplant at three Mayo Clinic sites (2005–2024). Patients were categorized by kidney failure cause: ADPKD vs. non-ADPKD. Abdominal arterial calcification was quantified on non-contrast computed tomography (CT) scans using a modified Agatston scoring method. Propensity score matching (1:1) adjusted for age, sex, race, lipid levels, left ventricular ejection fraction, dialysis exposure, coronary artery disease, neurovascular disease, and smoking history, was performed. Abdominal arterial calcification scores were compared between matched groups, and subgroup analyses evaluated abdominal arterial calcification severity across dialysis durations in ADPKD patients. Results After matching, 309 patients with ADPKD were compared with 309 non-ADPKD chronic kidney disease (CKD) controls. Abdominal arterial calcification scores were significantly lower in the ADPKD group (median: 425.3; IQR: 0.0–2033.5) than in the non-ADPKD group (median: 1256.8; IQR: 96.5–5033.8). Among ADPKD patients, abdominal arterial calcification scores increased with dialysis duration (P < .001). Conclusion ADPKD patients exhibit lower abdominal arterial calcification scores than their non-ADPKD counterparts after adjusting for clinical variables. Abdominal arterial calcification progression with dialysis highlights the importance of early transplant evaluation. This study introduces a novel adaptation of coronary calcium scoring software for quantifying abdominal calcification, offering a standardized approach to vascular risk assessment in kidney transplant candidates.

Abstract Objective Effective communication with humans and automated voice assistants (AVA) is essential for full participation in modern life. Because AVA relies on intelligible speech, individuals with speech impairments, such as those treated for oral cavity cancer (OCC), may face barriers when interacting with AVA. We assessed self‐reported communication difficulty in patients treated for OCC related to AVA and humans. Study Design Prospective cross‐sectional cohort study. Setting Out‐patient clinics in two tertiary care centers. Methods This study was conducted between July 2024 and March 2025 and included adults (≥18 years) diagnosed with and surgically treated for OCC (experimental group) and those without speech impairments (controls). Participants completed the Speech Communication Experience Survey (SCES), which assessed perceived intelligibility when communicating with familiar partners, strangers, and AVA; and, as reported elsewhere, the Speech Handicap Index (SHI). Results In total, 159 participants were included (69 OCC, 90 controls). OCC participants were more likely to report that familiar partners, strangers, and AVA “almost always” or “always” had difficulty understanding their speech ( P < .05). Free flap reconstruction and maxillectomy were associated with greater reported communication difficulty. AVA usage frequency and overall opinions toward AVA did not significantly differ between groups. Conclusion Patients treated for OCC report significantly greater difficulty being understood by both AVA and human listeners compared to controls. These perceptions may inform peri‐operative counseling and guide the development of more inclusive AVA technologies capable of accommodating diverse speakers. Level of Evidence : 3.

Abstract Purpose: Knowledge of prognostic factors and long-term survival in patients with diffuse hemispheric glioma, H3 G34–mutant (DHG, H3 G34), remains limited in this tumor with a poor prognosis. Experimental Design: This retrospective, multi-institutional study investigated prognostic variables for patients with DHG, H3 G34, and their association with progression-free survival (PFS) and overall survival (OS). Uni- and multivariable Cox proportional hazard models were applied with multiple imputed datasets. Results: A total of 153 patients (142 G34R, 9 G34V, 2 via DNA methylation) were included. The median age at diagnosis was 17 years (range, 2–45). Initial gross/near total resection (GTR/NTR) was achieved in 43% of patients. Radiation was given in 91% (85% focal irradiation), and initial chemotherapy was given in 87% [70% temozolomide-based (TMZ), 25% TMZ/lomustine, 5% non-TMZ]. Median OS was 24 months [interquartile range (IQR), 22–28] with a median PFS of 14 months (IQR, 12–19). Twelve patients (8%) were found to be long-term survivors (≥5 years). Exploratory multivariable analysis showed that adjuvant radiotherapy [HR, 0.076; 95% confidence interval (CI), 0.033–0.17] and achieving GTR/NTR compared with &lt; NTR (HR, 0.51; 95% CI, 0.33–0.78) were associated with improved PFS. Multivariable analysis showed improved OS with increasing age at diagnosis (HR, 0.70; 95% CI, 0.57–0.87), initial radiotherapy (HR, 0.38; 95% CI, 0.15–0.96), and initial GTR/NTR compared with &lt; NTR (HR, 0.60; 95% CI, 0.37–0.97). Conclusions: This cohort highlights prognostic factors for patients with DHG, H3 G34, and describes relapse patterns and therapy approaches. Clinical trials and prospective registries are needed to improve outcomes.