Citations

ObjectiveTo describe people with gout who were diagnosed with coronavirus disease 2019 (COVID‐19) and hospitalized and to characterize their outcomes.MethodsData on patients with gout hospitalized for COVID‐19 between March 12, 2020, and October 25, 2021, were extracted from the COVID‐19 Global Rheumatology Alliance registry. Descriptive statistics were used to describe the demographics, comorbidities, medication exposures, and COVID‐19 outcomes including oxygenation or ventilation support and death.ResultsOne hundred sixty‐three patients with gout who developed COVID‐19 and were hospitalized were included. The mean age was 63 years, and 85% were male. The majority of the group lived in the Western Pacific Region (35%) and North America (18%). Nearly half (46%) had two or more comorbidities, with hypertension (56%), cardiovascular disease (28%), diabetes mellitus (26%), chronic kidney disease (25%), and obesity (23%) being the most common. Glucocorticoids and colchicine were used pre‐COVID‐19 in 11% and 12% of the cohort, respectively. Over two thirds (68%) of the cohort required supplemental oxygen or ventilatory support during hospitalization. COVID‐19‐related death was reported in 16% of the overall cohort, with 73% of deaths documented in people with two or more comorbidities.ConclusionThis cohort of people with gout and COVID‐19 who were hospitalized had high frequencies of ventilatory support and death. This suggests that patients with gout who were hospitalized for COVID‐19 may be at risk of poor outcomes, perhaps related to known risk factors for poor outcomes, such as age and presence of comorbidity.

AimsHigh‐dose methotrexate (HDMTX) is an essential part of the treatment of several adult and paediatric malignancies. Despite meticulous supportive care during HDMTX administration, severe toxicities, including acute kidney injury (AKI), may occur contributing to patient morbidity. Population pharmacokinetics provide a powerful tool to predict time to clear HDMTX and adjust subsequent doses. We sought to develop and validate pharmacokinetic models for HDMTX in adults with diverse malignancies and to relate systemic exposure with the occurrence of severe toxicity.MethodsAnonymized, de‐identified data were provided from 101 US oncology practices that participate in the Guardian Research Network, a non‐profit clinical research consortium. Modelled variables included clinical, laboratory, demographic and pharmacological data. Population pharmacokinetic analysis was performed by means of nonlinear mixed effects modelling using MonolixSuite.ResultsA total of 693 HDMTX courses from 243 adults were analysed, of which 62 courses (8.8%) were associated with stage 2/3 acute kidney injury (43 stage 2, 19 stage 3). A three‐compartment model adequately fitted the data. Time‐dependent serum creatinine, baseline serum albumin and allometrically scaled bodyweight were clinically significant covariates related to methotrexate clearance. External evaluation confirmed a satisfactory predictive performance of the model in adults receiving HDMTX. Dose‐normalized methotrexate concentration at 24 and 48 hours correlated with AKI incidence.ConclusionWe developed a population pharmacometric model that considers weight, albumin and time‐dependent creatinine that can be used to guide supportive care in adult patients with delayed HDMTX elimination.

AbstractIntroductionThe presentation, risk factors, and etiologies of white matter hyperintensities (WMH) in people exposed to repetitive head impacts are unknown. We examined the burden and distribution of WMH, and their association with years of play, age of first exposure, and clinical function in former American football players.MethodsA total of 149 former football players and 53 asymptomatic unexposed participants (all men, 45–74 years) completed fluid‐attenuated inversion recovery magnetic resonance imaging, neuropsychological testing, and self‐report neuropsychiatric measures. Lesion Segmentation Toolbox estimated WMH. Analyses were performed in the total sample and stratified by age 60.ResultsIn older but not younger participants, former football players had greater total, frontal, temporal, and parietal log‐WMH compared to asymptomatic unexposed men. In older but not younger former football players, greater log‐WMH was associated with younger age of first exposure to football and worse executive function.DiscussionIn older former football players, WMH may have unique presentations, risk factors, and etiologies.Highlights Older but not younger former football players had greater total, frontal, temporal, and parietal lobe white matter hyperintensities (WMH) compared to same‐age asymptomatic unexposed men. Younger age of first exposure to football was associated with greater WMH in older but not younger former American football players. In former football players, greater WMH was associated with worse executive function and verbal memory.

AbstractBackgroundHigh titers of cold agglutinins jeopardize the quality of an apheresis product meant for autologous or allogeneic transplant. Management of transplant patients with cold agglutinin disease (CAD) is often experience‐based and under reported, yet decisions must be made quickly to optimize product management and patient outcomes. There remains a lack of data quantifying cell recovery and viability when using various warming methodologies.Study Design and MethodsTo expand the published experimental data on this subject, our human cellular therapy lab compared cellular recoveries and viabilities after manipulation of cryopreserved apheresis products through various warming methodologies: (1) extended warming in a water bath, (2) warming via blood warmer and infusion pump, and (3) warming in a water bath followed by infusion pump as a control to assess potential shear stress effects.ResultsThe presented studies demonstrate that all methods of product warming produce the same rates of recovery of total and viable cells across vital cell types prior to patient administration. Statistically, use of an extended water bath protocol provided a marginal benefit in recovery of total nucleated cells, though this effect is diminished when products are held for an extended period to simulate a delay in administration.DiscussionThese results can inform decisions to improve patient care and minimize product manipulation and loss. Centers are encouraged to use this information to guide proactive measures to establish a standard operating procedure to manage CAD cases.

➢ Pathologic meniscal extrusion can compromise meniscal function, leading to increased contact forces in the tibiofemoral compartment and the acceleration of osteoarthritic changes. ➢ Extrusion is typically defined as radial displacement of ≥3 mm outside the tibial border and is best diagnosed via magnetic resonance imaging, although ultrasonography has also demonstrated encouraging diagnostic utility. ➢ Surgical management of meniscal extrusion is based on the underlying etiology, the patient’s symptom profile, the preexisting health of the articular surface, and the risk of future chondral injury and osteoarthritis.

Mitochondria are a dynamic eukaryotic innovation that play diverse roles in biology and disease. The mitochondrial genome is remarkably conserved in all vertebrates, encoding the same 37-gene set and overall genomic structure, ranging from 16,596 base pairs (bp) in the teleost zebrafish (Danio rerio) to 16,569 bp in humans. Mitochondrial disorders are amongst the most prevalent inherited diseases, affecting roughly 1 in every 5000 individuals. Currently, few effective treatments exist for those with mitochondrial ailments, representing a major unmet patient need. Mitochondrial dysfunction is also a common component of a wide variety of other human illnesses, ranging from neurodegenerative disorders such as Huntington’s disease and Parkinson’s disease to autoimmune illnesses such as multiple sclerosis and rheumatoid arthritis. The electron transport chain (ETC) component of mitochondria is critical for mitochondrial biology and defects can lead to many mitochondrial disease symptoms. Here, we present a publicly available collection of genetic mutants created in highly conserved, nuclear-encoded mitochondrial genes in Danio rerio. The zebrafish system represents a potentially powerful new opportunity for the study of mitochondrial biology and disease due to the large number of orthologous genes shared with humans and the many advanced features of this model system, from genetics to imaging. This collection includes 15 mutant lines in 13 different genes created through locus-specific gene editing to induce frameshift or splice acceptor mutations, leading to predicted protein truncation during translation. Additionally, included are 11 lines created by the random insertion of the gene-breaking transposon (GBT) protein trap cassette. All these targeted mutant alleles truncate conserved domains of genes critical to the proper function of the ETC or genes that have been implicated in human mitochondrial disease. This collection is designed to accelerate the use of zebrafish to study many different aspects of mitochondrial function to widen our understanding of their role in biology and human disease.

ObjectiveSome patients with rheumatic diseases might be at higher risk for coronavirus disease 2019 (COVID‐19) acute respiratory distress syndrome (ARDS). We aimed to develop a prediction model for COVID‐19 ARDS in this population and to create a simple risk score calculator for use in clinical settings.MethodsData were derived from the COVID‐19 Global Rheumatology Alliance Registry from March 24, 2020, to May 12, 2021. Seven machine learning classifiers were trained on ARDS outcomes using 83 variables obtained at COVID‐19 diagnosis. Predictive performance was assessed in a US test set and was validated in patients from four countries with independent registries using area under the curve (AUC), accuracy, sensitivity, and specificity. A simple risk score calculator was developed using a regression model incorporating the most influential predictors from the best performing classifier.ResultsThe study included 8633 patients from 74 countries, of whom 523 (6%) had ARDS. Gradient boosting had the highest mean AUC (0.78; 95% confidence interval [CI]: 0.67‐0.88) and was considered the top performing classifier. Ten predictors were identified as key risk factors and were included in a regression model. The regression model that predicted ARDS with 71% (95% CI: 61%‐83%) sensitivity in the test set, and with sensitivities ranging from 61% to 80% in countries with independent registries, was used to develop the risk score calculator.ConclusionWe were able to predict ARDS with good sensitivity using information readily available at COVID‐19 diagnosis. The proposed risk score calculator has the potential to guide risk stratification for treatments, such as monoclonal antibodies, that have potential to reduce COVID‐19 disease progression.

Abstract Background Solid organ transplant recipients (SOTRs) are at high‐risk for severe infection from severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Anti‐spike monoclonal antibodies are currently utilized under emergency use authorization to prevent hospitalization in high‐risk individuals with coronavirus disease 2019 (COVID‐19), including SOTRs. However, clinical data for bebtelovimab, the sole currently available anti‐spike monoclonal antibody for COVID‐19, is limited. Methods We conducted a retrospective cohort study of adult SOTRs diagnosed with mild‐to‐moderate COVID‐19 from January 2022 through May 2022 who received either bebtelovimab or sotrovimab. The primary outcome was COVID‐19‐related hospitalization within 30 days of COVID‐19 diagnosis. Data were analyzed with Fisher's exact test. Results Among 361 SOTRs, 92 (25.5%) received bebtelovimab and 269 (74.5%) received sotrovimab. The most common organ transplant was a kidney (42.4%). SOTRs who received bebtelovimab had a higher proportion who had received a booster SARS‐CoV‐2 vaccine dose and had received their last vaccination dose more recently. Eleven (3.0%) SOTRs were hospitalized, and rates of hospitalization were similar between monoclonal antibody groups (3.3% versus 3.0%; p > .99). Three patients required admission to an intensive care unit, all of who received sotrovimab. Four (1.1%) patients died within 30 days of COVID‐19 diagnosis, two from each group. Conclusions SOTRs with mild‐to‐moderate COVID‐19 who received bebtelovimab had similar rates of COVID‐19‐related hospitalization as those who received sotrovimab. While differences in vaccination rates and viral subvariants could act as confounders, bebtelovimab appears to be of similar effectiveness as sotrovimab. image