Citations

Abstract Rationale Long COVID (LC) has affected approximately 400 million people worldwide, with about 20 million in the US. LC is characterized by a host of new symptoms, including neuropsychiatric disorders including cognitive impairment. Disruption of the gut microbiome has been correlated with symptoms of LC. This study examined whether gut microbiome modulation via intake of probiotic fermented foods mitigated psychiatric and cognitive impairments. Methods This was a pilot trial performed at a single academic medical center that enrolled and randomized patients with LC 1:1 into the treatment vs. control arm. Those enrolled into the treatment arm received teaching on the gut microbiome, its relationship to LC, and were encouraged to eat a diet high in probiotic fermented foods for 12 weeks. Those in the control arm did not receive the teaching and were encouraged to eat their normal diet. Diets were tracked using the Mayo Clinic Diet application on a smart phone at least three days per week, and those in the treatment arm received routine calls to discuss protocol adherence and gather subjective feedback on the trial. Neuropsychiatric questionnaires (HADS, IES-R, EQ-5D-5L, and MoCA Blind) were completed at enrollment and upon completion of the trial. Questionnaire scores were evaluated for changes using a paired t-test, with statistical significance defined as a p-value <0.05. Correlation between the fermented food intake and improvements in questionnaires was completed using the Spearman test. Results 43 patients were enrolled; 18 patients in the treatment arm and 20 patients in the control arm completed the trial. Groups did not differ by age, race, education, or baseline neuropsychiatric testing. There was a significant increase in fermented food intake in the treatment arm over the duration of the study. Those in the treatment arm had improvements in questionnaires related to anxiety, PTSD, and quality of life. Those in the control arm only had improvements in reported overall quality of life. Intra-group changes can be seen in Table 1. Correlations between fermented food intake and change in questionnaire scoring showed numerical but not statistically significant improvements in many of the questionnaires, except for the MOCA questionnaire and EQ-5D-5L Self-Care question. Conclusion Implementing a diet high in fermented foods in patients with LC appears to have some signal for improvement in neuropsychiatric symptoms. Completing a larger trial would help clarify if changes would be statistically significant. This abstract is funded by: Mayo Clinic Critical Care Research Committee

Abstract Medial meniscus root tears are among the most painful and disabling injuries in knee preservation practice, frequently presenting with substantial functional decline, particularly in female patients. Recent research associates increased posterior tibial slope with both root tears and worse pain scores. Although biomechanically plausible, posterior tibial slope should be interpreted as an association rather than a primary causal driver, as small variations in slope alone are unlikely to fully account for symptom burden or structural progression. Pain and functional decline in this population more likely reflects a multifactorial mechanical environment, in which posterior tibial slope interacts with other determinants of joint loading, including meniscal extrusion, limb alignment, cartilage health, body mass index, subchondral bone response, and degenerative meniscal changes. In our view, posterior tibial slope is one contributor within a broader mechanical environment rather than the primary driver. However, the key clinical message is clear: root tears represent a critical joint‐failure event that demands early recognition and treatment.

Background: Nonpharmacologic interventions have known benefits for managing chronic pain, particularly for conditions such as fibromyalgia, and are included in clinical guidelines. However, eye movement desensitization and reprocessing (EMDR) has not been established as a routine clinical practice for pain management. Objective: To systematically review the efficacy of EMDR for managing chronic pain. Methods: A search was conducted to identify randomized clinical trials (RCTs) and observational studies by using the keywords “EMDR” and “chronic pain.” Information was collected on the study population, EMDR protocol, methods for pain assessment, and outcomes. Risk of bias was evaluated, and intervention effect sizes were determined by calculating Hedges g values for long-term follow-up data in RCTs. Results: A total of nine studies, including seven RCTs, were reviewed. The studies used various diverse pain measurement tools and EMDR protocols. All reported significant improvements in pain symptoms with EMDR. Most of the studies reported statistically significant improvements in associated mental health issues, notably in psychological distress (four out of four studies), anxiety (three out of three studies), and depression (three out of four studies). Effect sizes varied among the studies, with three RCTs reporting large effects, two RCTs reporting moderate effects, and one RCT reporting small or nonsignificant effects. Conclusion: EMDR shows promise for managing chronic pain and addressing associated mental health symptoms. Despite study differences and limitations, the findings of this systematic review support the potential use of EMDR for chronic pain management.

Background: Artificial intelligence (AI) is increasingly being integrated into healthcare, with applications ranging from predictive analytics to clinical decision support. In clinical nutrition, AI tools offer opportunities to improve workflow efficiency, enhance dietary assessment, and personalize nutrition care. Despite growing interest, little is known about registered dietitian nutritionists’ (RDNs) perceptions of AI in clinical practice. The aim of the present study was to assess RDNs’ attitudes toward AI use within a large healthcare system, along with their perceived barriers in this regard. Methods: A cross-sectional survey was developed through expert review and distributed electronically via REDCap to RDNs across Mayo Clinic’s academic campuses and affiliated health system sites. The 23-item survey included Likert-scale items addressing AI’s potential utilization within clinical care, perceived benefits and risks, and readiness for adoption. Responses were summarized using descriptive statistics. Factor analysis identified underlying constructs related to AI attitudes. Differences stratified by age and years of experience were evaluated using ANOVA. Results: Of the 185 RDNs invited, 64 (35%) responded. Two factors emerged: optimism regarding AI usage (Cronbach’s α = 0.94) and skepticism about implementation (α = 0.76). The overall mean ± SD score for optimism was 0.1 ± 0.6 (neutral), while skepticism averaged 1.0 ± 0.6 (moderate). Skepticism differed by years of experience (p = 0.012), with the lowest levels observed among RDNs with ≥21 years of practice. No significant differences were observed across age groups. Discussion: RDNs demonstrated neutral attitudes toward AI use but expressed concerns about accuracy, training, and implementation challenges. Addressing these concerns through education and structured implementation strategies may facilitate successful adoption of AI in dietetic practice.

Abstract Ileostomy creation is common among patients with colorectal cancer, diverticulitis, and inflammatory bowel disease. Surgical removal or diversion of the colon can result in nutrition complications, most notably dehydration—a leading cause of hospital readmission—and increased risk of kidney injury. Existing studies on fluid and electrolyte management after ileostomy largely focus on short bowel syndrome or high‐output stomas, overlooking the physiological implications of ileostomy creation, even in patients with normal output. Given the absence of standardized oral rehydration protocols and limited interventional data, a scoping review was conducted to map the current evidence on oral rehydration solutions for postoperative fluid and electrolyte management in adults without short bowel syndrome or high‐output stoma. Comprehensive searches across five databases identified 5738 articles, of which 6 met inclusion criteria. Eligible studies examined adults with ileostomy for any standard indication in which oral rehydration solution use was a study objective. The included studies were methodologically heterogeneous, encompassing randomized controlled, crossover, double‐blinded comparator, retrospective cohort, and qualitative designs. Collectively, available evidence supports a pivotal role for oral rehydration solutions in both short‐term and long‐term management after ileostomy, improving hydration and reducing complications. This review highlights the need for standardized, evidence‐based oral rehydration regimens and underscores opportunities to reduce postoperative morbidity, kidney injury, and hospital readmissions while optimizing long‐term outcomes in this growing patient population.

Abstract Background Clinical nutrition (CN) is becoming increasingly complex because of the rising prevalence of chronic illness, cancer, and malnutrition‐related conditions such as short bowel syndrome and refeeding syndrome. Despite its clinical significance, nutrition education among US physicians remains limited. Simultaneously, large language model (LLM)–based artificial intelligence assistants (AIAs) have emerged as tools to support complex clinical decision‐making but remain largely untested in CN. Methods This retrospective study evaluated four LLM‐based AIAs—ChatGPT (OpenAI), OpenEvidence (OpenEvidence Inc), Gemini (Google, Google DeepMind), and Copilot (Microsoft Corporation)—using five complex CN cases from our nutrition support service. Each AIA was queried with patient‐specific CN questions. Responses were blinded and reviewed by five physician CN experts using an eight‐item assessment tool evaluating clarity, relevance, evidence, and clinical utility. Results All AIAs produced clinically appropriate responses, with Gemini scoring highest in relevance (4.04) and clarity (4.16). Overall satisfaction scores ranged from 3.08 (Copilot) to 3.84 (Gemini). Citation quality and originality of insights varied and were generally limited, and no consistent differences in performance were observed across the five cases among the four AIAs. Conclusion LLM‐based AIAs can reliably replicate expert reasoning in CN. Although not yet a source of novel clinical insights, the true potential of this approach may lie in its application among physicians without specialized expertise in CN, helping to bridge existing knowledge gaps in nutrition care. Presenting full clinical cases, as shown in this study, could support AIA‐enabled e‐consultation in the future, thereby addressing gaps in CN education.

Background/Objectives: Multi-cancer detection (MCD) tests have emerged as a promising tool to redefine the landscape of early cancer detection. Implementation of this novel technology will likely fall to primary care clinicians (PCC). The purpose of this study is to characterize and explore differences in PCCs perceptions and preferences towards MCD testing. Methods: Between March and May of 2023, this cross-sectional survey was administered to 281 PCCs, including physicians and advanced care providers practicing within an integrated healthcare system spanning five states. The survey collected data on self-reported characteristics, perceptions of MCD testing, and preferences for learning about MCD testing. Analysis was limited to those with no prior experience with MCD testing (N = 181, response rate 22.8%). Descriptive statistics summarized key variables and chi-square tests assessed differences in perceptions and preferences by key characteristics. Results: Most PCCs were interested in MCD testing (66.3%), but limited knowledge/awareness of MCD testing and confidence to manage patients with a positive test were observed, along with concerns around cost (76.7%) and misuse/poor implementation. The primary preferences for learning about MCD testing were online courses or classroom instruction (64.5%). Significant differences in perceptions and preferences for learning were observed by location, degree, and years in practice. Conclusions: PCCs in our study held positive views towards MCD testing, but gaps and variation in knowledge and confidence towards MCD testing and concerns around the cost and misuse/poor implementation were observed. While efforts to train and educate all PCCs on MCD testing is a critical first step, more research is needed to understand how best to support implementation tailored to individual and system-level needs and characteristics.

Background Coronavirus Disease 2019 (COVID-19) has led to dramatic changes including social distancing, closure of schools, travel bans, and issues of stay-at-home orders. The health-care field has been transformed with elective procedures and on-site visits being deferred. Telemedicine has emerged as a novel mechanism to continue to provide care. However, there remains a paucity of data regarding its efficacy in nutrition support, especially in patients with chronic intestinal failure (CIF). Objective Describe the utilization of telehealth in the routine management of CIF, particularly in the initiation and training of home parenteral nutrition (HPN). Methods A case series presenting our experience with the use of telemedicine to provide training for HPN for three patients. The manuscript describes the utility of telehealth in providing remote and adequate training for patients commenced on HPN during COVID-19 pandemic. Results Since the onset of the COVID-19 pandemic, we have successfully provided virtual training to three patients, including two who were noted to be severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive and one patient who could not be transferred to our facility for training. For SARS-CoV-2 positive patients, the risk of transmission to nursing staff with 8–10 h of face-to-face training in two cases was felt to be too significant for in-person training. We determined that the best option would be to stabilize parenteral nutrition in the hospital and perform virtual training. Although virtual training was successfully performed, it was felt that training in this manner took much longer, required frequent adjustment of the tablet device to ensure patient remained in field of view, and made it difficult to connect with the patient emotionally. Conclusions Telemedicine has significantly improved care provided during COVID-19 as a modality for effective training on HPN, while in-person communication was significantly limited due to the pandemic. However, when possible, it should be used in a manner that complements but does not supplant standard care.