Abstract High grade gliomas are devastating diseases. In the pediatric population, diffuse midline gliomas with the H3K27M mutation (H3K27M DMG) are the most aggressive primary malignant brain tumors. With no effective therapies available, children typically succumb to disease within one year of diagnosis. In adults, glioblastoma (GBM) remains a death sentence despite standard clinical care. Therefore, effective therapies for these tumors remain one of the most urgent and unmet needs in modern medicine. Interleukin 13 receptor subunit alpha 2 (IL-13Rα2) is a cell-surface transmembrane protein upregulated in H3K27M DMG and GBM versus normal brain tissue, posing a potentially promising therapeutic target for both tumors. In this study, we investigated the pharmacological effects of a novel peptide-toxin conjugate, IL13.E13K-PE4E (also known as GB-13), that contains a targeting moiety designed to bind IL-13Rα2 with high specificity and a point-mutant cytotoxic domain derived from Pseudomonas exotoxin A. We demonstrated that IL13.E13K-PE4E was a potent killer of cultured H3K27M DMG and GBM cells in vitro. Intratumoral administration of IL13.E13K-PE4E via convection-enhanced delivery (CED) decreased tumor burden and prolonged survival in both H3K27M DMG and GBM murine xenograft models. Furthermore, we observed enhanced drug tissue retention and volume of distribution after CED, suggesting IL13.E13K-PE4E is capable of covering the target area and remaining at the site of infusion long enough to impart therapeutic effects. In summary, administration of IL13.E13K-PE4E demonstrated a potent pharmacological response in H3K27M DMG and GBM models both in vitro and in vivo in a manner strongly associated with IL13Rα2 expression, underscoring the potential of IL13Rα2 targeted therapy in a subset of these tumors.
Artificial Intelligence‐Enhanced ECG Identification of Low Ejection Fraction: A Pragmatic, Cluster‐Randomized Clinical Trial
Research ObjectiveAn artificial intelligence (AI) algorithm based on ECG was integrated into clinical workflows to identify patients with a high likelihood of low ejection (EF), a condition that is underdiagnosed but treatable. The trial aimed to assess whether the AI‐powered clinical decision support enabled early diagnosis of low EF.Study DesignA pragmatic, cluster randomized controlled trial (RCT) was conducted in 45 primary care practices, including an academic medical center as well as community and rural clinics across Minnesota and Wisconsin. A total of 120 primary care teams, including 358 clinicians, were randomized to either intervention (access to AI results with positive results indicating a high likelihood of low EF; 181 clinicians) or control (usual care; 177 clinicians). The primary endpoint was a new diagnosis of EF≤50% within 90 days. A positive deviance qualitative study and a survey were used to assess implementation strategies.Population StudiedIn total, 22,641 adult patients (N = 11,573 intervention; N = 11,068 control) with ECG performed as part of routine care between 8/5/2019 and 3/31/2020 were included. Patients were excluded if they had known EF≤50% or a history of documented heart failure (HF) identified by clinical notes abstracted by natural language processing.Principal FindingsThe mean age of patients was 60.5 ± 17.6 years; 53.9% were women. Positive AI results were found in 6.0% of patients in both arms. Clinicians in the intervention group obtained more echocardiograms for patients with positive results (38.1% control vs. 49.6% intervention, p < 0.001), but in the overall cohort, the echocardiogram utilization was similar (18.2% vs. 19.2%, p = 0.17). The intervention increased the diagnosis of low EF in the overall cohort (1.6% vs. 2.1%, odds ratio [OR] 1.32 [1.01–1.61], p = 0.007) and among patients with positive results (14.5% vs. 19.5% OR 1.43 [1.08–1.91], p = 0.01). Results using different thresholds for low EF were consistent with the primary result. Among patients with positive results, the intervention increased echocardiography more significantly in women vs. men (p for interaction 0.02), in patients without prior echocardiogram vs. those with prior echocardiogram (p for interaction 0.04), and in patients whose ECGs were ordered in outpatient clinics (p for interaction 0.02).ConclusionsAn AI algorithm run on existing ECGs enabled the early diagnosis of low EF in a large cohort of patients managed in routine primary care practices. Because ECG is a low‐cost test frequently performed for a variety of purposes, the algorithm could improve early diagnosis and treatment of a condition that is often asymptomatic but has effective treatments, and thus, reduce the disease burden in broad populations.Implications for Policy or PracticeThe current study is one of the first RCTs that demonstrated the value of AI in routine practice. Low EF confers an increased risk of HF progression and mortality. Although there are effective therapies, low EF is undiagnosed, leading to missed opportunities for treatment. EF can be readily determined by echocardiography, but the imagining test is too resource‐intensive to screen unselected populations. The AI applied to the existing ECGs could identify high‐risk patients for further assessment.Primary Funding SourceMayo Clinic.
Comparison of electrocardiograms (ECG) waveforms and centralized ECG measurements between a simple 6‐lead mobile ECG device and a standard 12‐lead ECG
Abstract Background Interval duration measurements (IDMs) were compared between standard 12‐lead electrocardiograms (ECGs) and 6‐lead ECGs recorded with AliveCor's KardiaMobile 6L, a hand‐held mobile device designed for use by patients at home. Methods Electrocardiograms were recorded within, on average, 15 min from 705 patients in Mayo Clinic's Windland Smith Rice Genetic Heart Rhythm Clinic. Interpretable 12‐lead and 6‐lead recordings were available for 685 out of 705 (97%) eligible patients. The most common diagnosis was congenital long QT syndrome (LQTS, 343/685 [50%]), followed by unaffected relatives and patients (146/685 [21%]), and patients with other genetic heart diseases, including hypertrophic cardiomyopathy (36 [5.2%]), arrhythmogenic cardiomyopathy (23 [3.4%]), and idiopathic ventricular fibrillation (14 [2.0%]). IDMs were performed by a central ECG laboratory using lead II with a semi‐automated technique. Results Despite differences in patient position (supine for 12‐lead ECGs and sitting for 6‐lead ECGs), mean IDMs were comparable, with mean values for the 12‐lead and 6‐lead ECGs for QTcF, heart rate, PR, and QRS differing by 2.6 ms, −5.5 beats per minute, 1.0 and 1.2 ms, respectively. Despite a modest difference in heart rate, intervals were close enough to allow a detection of clinically meaningful abnormalities. Conclusions The 6‐lead hand‐held device is potentially useful for a clinical follow‐up of remote patients, and for a safety follow‐up of patients participating in clinical trials who cannot visit the investigational site. This technology may extend the use of 12‐lead ECG recordings during the current COVID‐19 pandemic as remote patient monitoring becomes more common in virtual or hybrid‐design clinical studies.
Financial Burden and Patient-Reported Outcomes after Hematopoietic Cell Transplantation: Impact of Pre-Treatment Awareness of Transplant-Associated Costs
Abstract Background: Financial burden during cancer treatment is associated with compromised patient-reported outcomes (PROs). Being aware of impending costs may help preserve affected PROs during treatment, as patients can adjust their financial expectations. We aimed to determine if the relationship between financial burden and PROs differs among those who were aware versus unaware of transplant-related costs before hematopoietic cell transplantation (HCT) for hematologic malignancy. Methods: In 2015, we administered a mailed survey to adult patients at least 150 days after autologous or allogeneic HCT at three centers: Dana-Farber Cancer Institute, Roswell Park Cancer Institute, and Mayo Clinic Arizona. We assessed pre-treatment awareness of transplant-related costs, decreased household income after HCT, and financial hardship (defined as any one or two of the following: reporting being either unsatisfied with present finances, having difficulty meeting monthly bill payments, or not having enough money at the end of the month; given that experiencing all three would represent extreme hardship likely to impact PROs regardless of awareness, we excluded this group). A seven-point scale was provided for perceptions of overall quality of life (QOL, and patient-reported stress was measured with the Perceived Stress Scale (PSS-4). We fit regression models-stratified by awareness-to assess for the association of income decline and financial hardship with QOL below the median and perceived stress above the median (adjusting for transplant type, sex, age, race, marital status, income, distance to transplant center, and time since diagnosis). Results:In the overall survey cohort (n=325; response rate = 65.1%), 21.6% reported being unaware of HCT-related costs, with no differences due to age, race, income, or education as compared to those who were aware. Patients who reported being aware prior to transplant most often reported being informed of costs by a social worker (40.6%) and least often by a physician (23.4%; sources not mutually exclusive). Among aware patients, income decline after HCT was not associated with QOL below the median (AOR 1.4 [0.8, 2.5]; p=0.24); in contrast, among the unaware, income decline increased the odds of reporting worse QOL (AOR 4.3 [1.1, 16.7]; p=0.04). Among the aware, self-reported financial hardship was associated with worse QOL after HCT (AOR 2.7 [1.5, 4.8]; p=<.001), but the odds were even higher among the unaware (AOR 4.7 [1.2, 19.4]; p=0.03). Similar increases were observed among the unaware for the association of decline in income and financial hardship with increased perceived stress. Conclusions: In this large multi-institutional cohort of patients post-HCT, more than one-fifth reported being unaware of transplant-related costs before the procedure. Moreover, this analysis suggests that pre-treatment awareness of transplant-related costs may ameliorate the impact of post-HCT financial burden on patient-reported outcomes. Figure Figure. Disclosures Khera: Novartis: Consultancy. Zafar: Novartis: Other: Spouse's Employment.
ROBUST: A Phase III Study of Lenalidomide Plus R-CHOP Versus Placebo Plus R-CHOP in Previously Untreated Patients With ABC-Type Diffuse Large B-Cell Lymphoma
PURPOSE Patients with the activated B-cell-like (ABC) subtype of diffuse large B-cell lymphoma (DLBCL) historically showed inferior survival with standard rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP). Phase II studies demonstrated that adding the immunomodulatory agent lenalidomide to R-CHOP improved outcomes in ABC-type DLBCL. The goal of the global, phase III ROBUST study was to compare lenalidomide plus R-CHOP (R2-CHOP) with placebo/R-CHOP in previously untreated, ABC-type DLBCL. METHODS Histology and cell-of-origin type were prospectively analyzed by central pathology prior to random assignment and study treatment. Patients with ABC-DLBCL received lenalidomide oral 15 mg/d, days 1-14/21 plus standard R-CHOP21 versus placebo/R-CHOP21 for six cycles. The primary end point was progression-free survival (PFS) per independent central radiology review. RESULTS A total of 570 patients with ABC-DLBCL (n = 285 per arm) were stratified by International Prognostic Index score, age, and bulky disease, and randomly assigned to R2-CHOP or placebo/R-CHOP. Baseline demographics were similar between arms. Most patients completed six cycles of treatment: 74% R2-CHOP and 84% placebo/R-CHOP. The most common grade 3/4 adverse events for R2-CHOP versus placebo/R-CHOP were neutropenia (60% v 48%), anemia (22% v 14%), thrombocytopenia (17% v 11%), and leukopenia (14% v 15%). The primary end point of PFS was not met, with a hazard ratio of 0.85 (95% CI, 0.63 to 1.14) and P = .29; median PFS has not been reached for either arm. PFS trends favoring R2-CHOP over placebo/R-CHOP were seen in patients with higher-risk disease. CONCLUSION ROBUST is the first DLBCL phase III study to integrate biomarker-driven identification of eligible ABC patients. Although the ROBUST trial did not meet the primary end point of PFS in all patients, the safety profile of R2-CHOP was consistent with individual treatments with no new safety signals.
Wnt/β-catenin activation epigenetically reprograms Regulatory T cells in IBD and progression to dysplasia.
Abstract The molecular and functional diversity of regulatory T-cells (Tregs) in health and in disease remains unclear. We previously described in colorectal cancer (CRC) patients a subpopulation of RORγt+ Tregs with elevated expression of β-catenin and pro-inflammatory properties. Here we observed progressive expansion of RORγt+ Tregs in inflammatory bowel disease (IBD) patients during inflammation and early dysplasia. Activating Wnt/β-catenin signaling in human and murine Tregs was sufficient to recapitulate the disease-associated increase in frequencies of RORγt+ Tregs expressing IL-17, IFN-γ, and TNFa. We found that binding of the β-catenin interacting partner, TCF-1, to DNA overlapped with Foxp3 binding at enhancer sites of pro-inflammatory pathway genes. Sustained Wnt/β-catenin activation induced newly accessible chromatin sites in these genes and upregulated their expression. These findings indicate that TCF-1 and Foxp3 together limit the expression of pro-inflammatory genes in Tregs. Activation of ꞵ-catenin signaling interferes with this function and promotes the disease-associated RORγt+ Treg phenotype.
Relationship of Clinician Care Team Composition and Diabetes Quality Outcomes
The objective was to determine if a greater proportion of physician full-time equivalent (FTE%) relative to nurse practitioners/physician assistants (NPs/PAs) on care teams was associated with improved individual clinician diabetes quality outcomes. The authors conducted a retrospective cross-sectional study of 420 family medicine clinicians in 110 care teams in a Midwest health system, using administrative data from January 1, 2017 to December 31, 2017. Poisson regression was used to examine the relationship between physician FTE% and the number of patients meeting 5 criteria included in a composite metric for diabetes management (D5). Covariates included panel size, clinician type, sex, years in practice, region, patient satisfaction, care team size, rural location, and panel complexity. Of the 420 clinicians, 167 (40%) were NP/PA staff and 253 (60%) were physicians. D5 criteria were achieved in 37.9% of NP/PA panels compared with 44.5% of physician panels ( P < .001). In adjusted analysis, rate of patients achieving D5 was unrelated to physician FTE% on the care team ( P = .78). Physicians had a 1.082 (95% confidence interval 1.007–1.164) times greater rate of patients with diabetes achieving D5 than NPs/PAs. Clinicians at rural locations had a .904 (.852-.959) times lower rate of achieving D5 than those at urban locations. Physicians had a greater rate of patients achieving D5 compared with NPs/PAs, but physician FTE% on the care team was unrelated to D5 outcomes. This suggests that clinician team composition matters less than team roles and the dynamics of collaborative care between members.
Emergency Medicine Resident Burnout and Examination Performance
AbstractObjectivesBurnout afflicts emergency physicians (EPs) to a significant degree. The impact of burnout spans from decreased clinical efficiency to increased medical errors to heightened risk of physician suicide. This large‐scale study captures responses from emergency medicine (EM) residents regarding two burnout items and examines the correlation between in‐training examination (ITE) scores and burnout risk as well as that between residency year and burnout risk.MethodsThis was a prospective, mixed‐methods, cross‐sectional cohort study. All residents in U.S. categorical EM residents who took the 2019 ITE were included. At the end of the ITE, residents were invited to complete a voluntary survey that included two items from the Maslach Burnout Inventory (MBI) that have been found to be strongly indicative of burnout: one about self‐perception of being burned out and one about feelings of callousness. Responses were on a 7‐level Likert scale (1–7), ranging from very low frequency (1) to very high frequency (7). Measurements included the number of residents in each year‐level of training (EM1–EM4), the MBI item ratings, and the ABEM ITE score. Performance, as measured by the scaled, equated score, was compared to the MBI item responses. A corrected Spearman’s correlation coefficient (ρ) was used to compare continuous data (score) against a discrete ordinal variable (MBI Likert response).ResultsThere were 2,501 EM1 residents, 2,389 EM2 residents, 2,206 EM3 residents, and 616 EM4 residents in the study group. There were 7,206 (93.4%) physicians who completed the first MBI question about burnout; 7,172 (93%) completed the second MBI question about callousness. There was no statistically significant association between the burnout item response and ITE performance (ρ = –0.03; p = 0.015). There was a positive, statistically significant association between the callousness item response and higher ITE performance (ρ = 0.07; p < 0.001). There was a statistically significant association between the response to the burnout item and training level (ρ = 0.07; p <0.001). There was also a statistically significant association between the response to the callousness item and training level (ρ = 0.15; p < 0.001). The overall prevalence of burnout risk in various training levels were EM1, 28.2%; EM2, 39%; EM3, 41.1%; and EM4, 43.3%.ConclusionsOur study found no significant correlation between ITE score and burnout risk. There was a weakly positive correlation between ITE scores and callousness. Based on our study results, ITE scores may not be useful in prognosticating burnout risk for EM residents and, interestingly, higher ITE scores correlated to stronger feelings of callousness. Our study indicates that EM residents at higher levels of training reported stronger self‐perceptions of burnout and callousness. Further investigation into why residents at higher levels of training may experience greater burnout risk is warranted.
Complex regional pain syndrome: An updated comprehensive review
Complex regional pain syndrome (CRPS) is a complex disorder that can have a significant impact on the quality of life of a person with this syndrome. The diagnosis and treatment of CRPS are often difficult as there is no one confirmatory test and no one definitive treatment. Currently, the most widely accepted clinical diagnostic criteria are the Budapest criteria, which were developed by expert consensus. Though no one single treatment has been found to be universally effective, early detection and an interdisciplinary approach to treatment appear to be key in treating CRPS. This review aims to present up-to-date clinical information regarding the diagnosis and management of CRPS and highlight the potential issues with diagnosis in the neurological population. Ultimately, more research is needed to identify the exact etiology of CRPS in order to help target appropriate therapies. In addition, more randomized controlled trials need to be performed in order to test new therapies or combinations of therapies, including pharmacological, interventional, and behavioral therapies, to determine the best treatment options for this potentially debilitating disorder.