Citations

Abstract Background Sinonasal neoplasms, whether benign and malignant, pose a significant challenge to clinicians and represent a model area for multidisciplinary collaboration in order to optimize patient care. The International Consensus Statement on Allergy and Rhinology: Sinonasal Tumors (ICSNT) aims to summarize the best available evidence and presents 48 thematic and histopathology‐based topics spanning the field. Methods In accordance with prior International Consensus Statement on Allergy and Rhinology documents, ICSNT assigned each topic as an Evidence‐Based Review with Recommendations, Evidence‐Based Review, and Literature Review based on the level of evidence. An international group of multidisciplinary author teams were assembled for the topic reviews using the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses format, and completed sections underwent a thorough and iterative consensus‐building process. The final document underwent rigorous synthesis and review prior to publication. Results The ICSNT document consists of four major sections: general principles, benign neoplasms and lesions, malignant neoplasms, and quality of life and surveillance. It covers 48 conceptual and/or histopathology‐based topics relevant to sinonasal neoplasms and masses. Topics with a high level of evidence provided specific recommendations, while other areas summarized the current state of evidence. A final section highlights research opportunities and future directions, contributing to advancing knowledge and community intervention. Conclusion As an embodiment of the multidisciplinary and collaborative model of care in sinonasal neoplasms and masses, ICSNT was designed as a comprehensive, international, and multidisciplinary collaborative endeavor. Its primary objective is to summarize the existing evidence in the field of sinonasal neoplasms and masses.

Across multiancestry groups, we analyzed Human Leukocyte Antigen (HLA) associations in over 176,000 individuals with Parkinson’s disease (PD) and Alzheimer’s disease (AD) versus controls. We demonstrate that the two diseases share the same protective association at the HLA locus. HLA-specific fine-mapping showed that hierarchical protective effects of HLA-DRB1 *04 subtypes best accounted for the association, strongest with HLA-DRB1 *04:04 and HLA-DRB1 *04:07, and intermediary with HLA-DRB1 *04:01 and HLA-DRB1 *04:03. The same signal was associated with decreased neurofibrillary tangles in postmortem brains and was associated with reduced tau levels in cerebrospinal fluid and to a lower extent with increased Aβ42. Protective HLA-DRB1 *04 subtypes strongly bound the aggregation-prone tau PHF6 sequence, however only when acetylated at a lysine (K311), a common posttranslational modification central to tau aggregation. An HLA-DRB1 *04-mediated adaptive immune response decreases PD and AD risks, potentially by acting against tau, offering the possibility of therapeutic avenues.

Abstract Patients with blood culture-negative endocarditis due to Bartonella infection frequently presented with fever, cytopenias, kidney failure, and positive PR3-ANCA. Bartonella IgG titers were variable. Patients commonly underwent surgery with overall low mortality.

Significant knowledge gaps exist in the perioperative pain management of patients with a history of chronic pain, substance use disorder, and/or opioid tolerance as highlighted in the US Health and Human Services Pain Management Best Practices Inter-Agency Task Force 2019 report. The report emphasized the challenges of caring for these populations and the need for multidisciplinary care and a comprehensive approach. Such care requires stakeholder alignment across multiple specialties and care settings. With the intention of codifying this alignment into a reliable and efficient processes, a consortium of 15 professional healthcare societies was convened in a year-long modified Delphi consensus process and summit. This process produced seven guiding principles for the perioperative care of patients with chronic pain, substance use disorder, and/or preoperative opioid tolerance. These principles provide a framework and direction for future improvement in the optimization and care of ‘complex’ patients as they undergo surgical procedures.

AbstractBackgroundForeign‐born kidney transplant recipients (FBKTRs) are at increased risk for reactivation of latent infections that may impact outcomes. We aimed to compare the etiology of infections and outcomes between FBKTR and United States KTRs (USKTR).MethodsWe performed a retrospective study of patients who underwent kidney transplantation between January 1, 2014 and December 31, 2018 at two transplant centers in Minnesota. Frequency and etiology of infections as well as outcomes (graft function, rejection, and patient survival) at 1‐year post‐transplant between FBKTR and USKTR were compared.ResultsOf the 573 transplant recipients, 124 (21.6%) were foreign‐born and 449 (78.4%) US‐born. At least one infection occurred in 411 (71.7%) patients (38.2% bacterial, 55% viral, 9.4% fungal). Viral infections were more frequent in FBKTR, particularly BK viremia (38.7% vs. 21.2%, p < .001). No statistical differences were found for bacterial or fungal infections; no parasitic infections were identified in either group. No geographically‐restricted infections were noted aside from a single case of Madura foot in a FBKTR. Rejection episodes were more common in USKTR (p = .037), but stable/improving graft function (p = .976) and mortality (p = .451) at 1‐year posttransplantation were similar in both groups. After adjusting for covariates, previous transplantation was associated with a higher number of infections (IRR 1.35, 95% confidence intervals 1.05–1.73, p = .020).ConclusionAlthough viral infections were more frequent in FBKTR, overall frequency and etiology of most infections and outcomes were similar between FBKTR and USKTR suggesting that comprehensive transplant care is providing timely prevention, diagnosis, and treatment of latent infections in FBKTR. image

AbstractBackgroundPre‐exposure prophylaxis with tixagevimab‐cilgavimab (tix‐cil) may be associated with cardiovascular adverse events. Also, in vitro studies have reported a reduced activity of tix‐cil against emerging SARS‐CoV‐2 Omicron subvariants. Our study aimed to report the real‐world outcomes of tix‐cil prophylaxis in orthotopic heart transplant (OHT) recipientsMethodsWe retrospectively studied all OHT recipients who received one dose of tix‐cil (150–150 mg or 300–300 mg) at Mayo Clinic in Arizona, Florida, and Minnesota, between February 5, 2022 and September 8, 2022. We collected data on cardiovascular adverse events and breakthrough COVID‐19 following tix‐cil administration.ResultsOne hundred sixty‐three OHT recipients were included. The majority were male (65.6%), and the median age was 61 years (IQR 48, 69). During the median follow‐up of 164 days (IQR 123, 190), one patient presented an episode of asymptomatic hypertensive urgency that was managed with outpatient antihypertensive treatment optimization. Twenty‐four patients (14.7%) experienced breakthrough COVID‐19 at the median of 63.5 days (IQR 28.3, 101.3) after tix‐cil administration. The majority (70.8%) completed the primary vaccine series and received at least one booster dose (70.8%). Only one patient with breakthrough COVID‐19 required hospitalization. All patients survived.ConclusionsIn this cohort of OHT recipients, no patients developed severe cardiovascular events related to tix‐cil. The high incidence of breakthrough COVID‐19 could be due to the reduced activity of tix‐cil against current circulating SARS‐CoV‐2 Omicron variants. These results emphasize the need for a multimodal prevention strategy against SARS‐CoV‐2 in these high‐risk patients. image

AbstractBackgroundSubjective cognitive decline (SCD) in cognitively normal individuals is a relevant predictor of future cognitive decline, dementia, and neurodegeneration. Previous studies showed that the cognitive decline cannot be captured by objective neuropsychological testing in SCD. However, whether sophisticated multivariate approaches such as graph theory can potentially capture subtle cognitive abnormalities in SCD individuals is unknown. This study aimed to assess the cognitive connectome in a relatively large cohort of SCD individuals, in comparison with healthy controls (HC), and assess whether such a connectome differs in SCD across age groups.MethodWe included a total of 390 individuals, of which 211 fulfilled the core SCD criteria proposed by the international SCD Initiative (SCD‐I), and 179 individuals were classified as healthy controls. Participants were stratified into early middle‐age (37–50 years, n = 125), late‐middle‐age (51–64 years, n = 119), and elderly (65–78 years, n = 146) groups. We built cognitive networks from 47 cognitive variables separately for each age and study group using graph theory and compared the groups using global measures of average strength, average global efficiency, average local efficiency, and transitivity.ResultSCD individuals had more segregated networks in all age groups, but more prominently in the late‐middle‐age group. We observed lower within‐module connectivity in SCD individuals, in verbal memory and executive—premotor functions compared with HC. The late middle‐age SCD group showed a pattern of connectivity similar to the elderly HC group. The late‐middle‐age SCD group also showed reduced transitivity compared with the HC. We did not observe significant differences in the rest of the graph measures and in the other groups.ConclusionUsing a sophisticated multivariate approach, we demonstrate that a segregated pattern of cognitive connectivity seems to underlie SCD, particularly in individuals in the age range 51 to 64 years. After the age of 65 years, this pattern tends to be less segregated, contrary to an efficient dedifferentiation process in aging. This, together with subtle signs of brain pathology and other risk factors identified in SCD may increase the likelihood of future cognitive impairment and dementia.

Abstract Background There are not established clinical breakpoints (CBP) for antifungals against Cryptococcus species; However, the analysis of their MICs using epidemiological cut-off values (ECVs) can help to distinguish wild-type (WT) isolates from non-WT strains that may harbor intrinsic or acquired resistance to antifungals. Herein, we analyze the MIC distribution of antifungals against Cryptococcus spp. isolated over the last decade at our reference laboratory. Methods We conducted a retrospective evaluation of antifungals MICs for Cryptococcus neoformans and Cryptococcus gattii complex isolates from various sources that were processed at the Mayo Clinic Laboratory from November 18, 2011 to June 7, 2021. Antifungal susceptibility testing was performed by the Clinical & Laboratory Standards Institute (CLSI) standards (CLSI M59-ED3:2020). We used recommended ECVs to define if the isolates were WT or non-WT, and described the change in the percentage of WT isolates over time. Results During the study period, C. neoformans was isolated from 632 samples collected from 533 patients. Sample sources included cultures from blood (n=301), cerebrospinal fluid (n=230), respiratory (n=71), and other sources (n=30). The overall percentage of WT isolates for amphotericin B (AMB), 5-flucytosine, and fluconazole were 77%, 98% and 91% respectively with no significant difference based on various sources (Table). We noticed an overall increase in MICs for AMB, with 100% WT isolates in 2011 compared to 79% in 2021. No such increase was seen for fluconazole or 5-Flucytosine (Figure). Irrespective of the source or the year of isolation, WT strains for itraconazole, voriconazole, and posaconazole were consistently &gt; 93%. C. gattii was isolated from 16 samples, and 94% were WT strains for AMB and 100% for the other antifungals. CLSI, Clinical and Laboratory Standard Institute; CSF, cerebrospinal fluid; ECVs, epidemiologic cut-off values. AMB, amphotericin B; FLU, fluconazole; 5FC, 5-flucytosine. Conclusion In the last decade, we have observed an overall increase in MICs of AMB for C. neoformans. The number of WT strains for other antifungals was high and not significantly changed during the study frame. Further studies are needed to identify the clinical implications of these findings. Disclosures Paschalis Vergidis, MD, AbbVie: DSMB|Cidara: Grant/Research Support|Scynexis: Grant/Research Support.

Diagnostic devices, methodological approaches, and traditional constructs of clinical pathology practice, cultivated throughout centuries, have transformed radically in the wake of explosive technological growth and other, e.g., environmental, catalysts of change. Ushered into the fray of modern laboratory medicine are digital imaging devices and machine-learning (ML) software fashioned to mitigate challenges, e.g., practitioner shortage while preparing clinicians for emerging interconnectivity of environments and diagnostic information in the era of big data. As computer vision shapes new constructs for the modern world and intertwines with clinical medicine, cultivating clarity of our new terrain through examining the trajectory and current scope of computational pathology and its pertinence to clinical practice is vital. Through review of numerous studies, we find developmental efforts for ML migrating from research to standardized clinical frameworks while overcoming obstacles that have formerly curtailed adoption of these tools, e.g., generalizability, data availability, and user-friendly accessibility. Groundbreaking validatory efforts have facilitated the clinical deployment of ML tools demonstrating the capacity to effectively aid in distinguishing tumor subtype and grade, classify early vs. advanced cancer stages, and assist in quality control and primary diagnosis applications. Case studies have demonstrated the benefits of streamlined, digitized workflows for practitioners alleviated by decreased burdens.