Citations

AbstractContextEarly inflammatory thyroid eye disease (TED) can lead to symptomatic chronic disease, including disabling proptosis. Teprotumumab, an insulin-like growth factor-1 receptor (IGF-1R) inhibitor, previously demonstrated efficacy in acute, high-inflammation TED trials.ObjectiveWe present data from the first placebo-controlled trial with teprotumumab in chronic/low disease activity TED.MethodsThis randomized double-masked, placebo-controlled trial, conducted at 11 US centers, enrolled adult participants with TED duration of 2 to 10 years, Clinical Activity Score (CAS) ≤ 1 or no additional inflammation or progression in proptosis/diplopia for ≥1 year, proptosis ≥3 mm from before TED and/or from normal, euthyroid/mildly hypo/hyperthyroid, no prior teprotumumab, and no steroids within 3 weeks of baseline. Patients received (2:1) intravenous teprotumumab or placebo once every 3 weeks (total 8 infusions). The primary endpoint was proptosis (mm) improvement at Week 24. Adverse events (AEs) were assessed.ResultsA total of 62 (42 teprotumumab and 20 placebo) patients were randomized. At Week 24, least squares mean (SE) proptosis improvement was greater with teprotumumab (−2.41 [0.228]) than with placebo (−0.92 [0.323]), difference −1.48 (95% CI −2.28, −0.69; P = .0004). Proportions of patients with AEs were similar between groups. Hyperglycemia was reported in 6 (15%) vs 2 (10%) and hearing impairment in 9 (22%) vs 2 (10%) with teprotumumab and placebo, respectively. AEs led to discontinuation in 1 teprotumumab (left ear conductive hearing loss with congenital anomaly) and 1 placebo patient (infusion-related). There were no deaths.ConclusionTeprotumumab significantly improved proptosis vs placebo in longstanding/low inflammation TED, demonstrating efficacy regardless of disease duration/activity. The safety profile was comparable to that previously reported.

AbstractBackgroundThe Harmony TPV25 transcatheter pulmonary valve (Medtronic Inc.) is constructed with a self‐expanding stent frame comprising six zigged nitinol wires sewn together and covered with knitted polyester fabric, with flared inflow and outflow ends and a porcine pericardial valve sutured to the central portion of the device. It was approved for treatment of pulmonary regurgitation after prior right ventricular outflow tract repair in 2021. Early outcomes of this procedure have been excellent, but little is known about valve durability or ultimate mechanisms of dysfunction.MethodsWe collected data on patients who underwent reintervention for TPV25 dysfunction and described findings related to distortion of the stent frame and tissue accumulation.ResultsWe describe six patients who underwent valve‐in‐valve implant for TPV25 obstruction (peak catheterization gradient peak 28–73 mmHg) 10–28 months after implant. In all cases, there was tissue accumulation within the inflow and valve‐housing segments of the device and deformation of the self‐expanding valve frame characterized by variable circumferential narrowing at the junction between the valve housing and the inflow and outflow portions of the device, with additional geometric changes in all segments. All six patients underwent valve‐in‐valve implant that results in a final peak gradient ≤10 mmHg and no regurgitation.DiscussionThe occurrence of short‐term Harmony TPV25 dysfunction in multiple patients with a similar appearance of frame distortion and tissue accumulation within the inflow and valve housing portions of the device suggests that this may be an important failure mechanism for this valve. Potential causes of the observed findings are discussed. It is possible to treat this mechanism of TPV25 dysfunction with valve‐in‐valve implant using balloon expandable transcatheter valves.

Abstract Background Shotgun and targeted metagenomic sequencing have been shown in separate studies to be potentially useful for culture-free pathogen identification in blood and/or plasma of patients with infective endocarditis (IE). However, the 2 approaches have not been directly compared. The aim of this study was to compare shotgun metagenomic sequencing with targeted metagenomic sequencing (tMGS) for organism identification in blood or plasma of patients with IE. Methods Patients with possible or definite IE were prospectively enrolled from October 2020 to July 2021. Shotgun metagenomic sequencing was performed with the Karius test, which uses microbial cell-free DNA (mcfDNA) sequencing to detect, identify, and quantitate DNA-based pathogens in plasma. tMGS was performed using a 16S ribosomal RNA (rRNA) polymerase chain reaction assay targeting the V1 to V3 regions of the 16S rRNA gene. Results were compared using the McNemar test of paired proportions. Results Samples from 34 patients were investigated. The Karius test was positive in 24/34 (71%), including 3/6 (50%) with blood culture–negative endocarditis (BCNE), which was not significantly different from the positivity rate of tMGS (P = .41). Results of the Karius test were concordant with tMGS in 75% of cases. The Karius test detected 2 cases of methicillin-resistant Staphylococcus aureus among the 7 S. aureus detections, in accordance with results of phenotypic susceptibility testing. The combination of blood cultures, the Karius test, and tMGS found a potential causative pathogen in 33/34 (97%), including 5/6 with BCNE. Conclusions The Karius test and tMGS yielded comparable detection rates; however, beyond organism identification, the Karius test generated potentially useful antibiotic resistance data.

Traumatic brain injury (TBI) has a profound impact on cognitive and mental functioning, leading to lifelong impairment and significantly diminishing the quality of life for affected individuals. A healthy blood–brain barrier (BBB) plays a crucial role in guarding the brain against elevated levels of blood glutamate, making its permeability a vital aspect of glutamate regulation within the brain. Studies have shown the efficacy of reducing excess glutamate in the brain as a treatment for post-TBI depression, anxiety, and aggression. The purpose of this article is to evaluate the involvement of dietary glutamate in the development of depression after TBI. We performed a literature search to examine the effects of diets abundant in glutamate, which are common in Asian populations, when compared to diets low in glutamate, which are prevalent in Europe and America. We specifically explored these effects in the context of chronic BBB damage after TBI, which may initiate neurodegeneration and subsequently have an impact on depression through the mechanism of chronic glutamate neurotoxicity. A glutamate-rich diet leads to increased blood glutamate levels when contrasted with a glutamate-poor diet. Within the context of chronic BBB disruption, elevated blood glutamate levels translate to heightened brain glutamate concentrations, thereby intensifying neurodegeneration due to glutamate neurotoxicity.

AbstractObjectivesAlthough countries like Japan and South Korea have implemented nationwide endoscopic screening programs, there is limited evidence on the effectiveness of endoscopy for diagnosing early gastric cancer (EGC) in developing countries such as India. In the present study, we aimed to determine the feasibility of endoscopic detection of EGC from India.MethodsThe data was prospectively collected for all patients ≥40 years who underwent a diagnostic upper endoscopy from April to September 2021. A single endoscopist who performed the endoscopic procedures completed 1‐month training in advanced endoscopy in Japan. Following the training, the endoscopist continued to engage in internet‐based discussions regarding his cases encountered. Prior to this training, the endoscopist had not detected any EGC cases during his 12‐year gastroenterology practice.ResultsA total of 1033 patients were included in the study, with males accounting for 65.4% and a mean age 52 years. The average procedural time was 7.13 ± 4.8 min. A total of 25 patients (2.4%) were found to have GC, including 6 patients (0.6%) with EGC. Two patients had synchronous EGC lesions. All EGC patients were males, with an average age of 66 years. All EGCs were detected in the distal stomach in the presence of Helicobacter pylori infection and severe atrophic gastritis.ConclusionOur findings showed that the endoscopic detection of EGC is feasible in India. Optimal training on endoscopic diagnosis of EGC can improve the detection of such lesion. Further studies are warranted to assess the optimization and implementation of an endoscopic screening program for EGC in India.

Introduction: Medical trainees experience a high degree of stress that predisposes them to burnout. This pilot study tested a scalable approach to deliver a validated resilience program (Stress Management and Resiliency Training (SMART)) among Hematology/Oncology fellows at an academic medical center. Methods: This was a mixed-methods, prospective, single-arm clinical trial involving Hematology/Oncology fellows at Mayo Clinic in Rochester, MN, USA. Four one-hour training sessions were conducted virtually with 26 fellows. Stress, burnout, and emotional resilience were measured at baseline, three months, and six months post-intervention using the Perceived Stress Scale (PSS-10), Maslach Burnout Inventory (MBI-HSS), and Connor-Davidson Resilience Scale (CD-RISC2). Changes in mean scores were assessed using paired t-tests. Feasibility and acceptability data were obtained during a virtual focus group. Results: Statistically significant improvements in mean stress (p = 0.004) and professional achievement (p < 0.001) were seen at three months post-intervention. At six months post-intervention, mean stress (p < 0.001) and professional achievement (p = 0.032) continued to improve, while improvements in emotional exhaustion (p = 0.001) and depersonalization (p < 0.001) also became significant. Focus group participants found the program beneficial and reported improved stress and work performance as a result of participation. Conclusion: Virtual implementation of the SMART program is feasible and resulted in improvements in stress and burnout. Focus group participants found the training beneficial, reporting lower stress and improved work performance.

OBJECTIVE The authors report a single-surgeon experience with anterior clinoid meningiomas (ACMs) and propose a novel scoring system to predict visual outcomes based on preoperative risk factors. METHODS A cohort study of all ACMs that were surgically treated by a single surgeon between 2003 and 2021 was performed. Visual function was assessed by an ophthalmologist pre- and postoperatively. Based on the combination of visual fields and visual acuity, 4 visual grades were described. Favorable visual outcomes were defined as mild visual deficit or intact vision postoperatively. Unfavorable visual outcomes were defined as a severe or moderate visual deficit. Predictors of unfavorable visual outcomes were identified using multivariable logistic regression analysis. A scoring system was then created using the resulting β coefficient. A receiver operating characteristic curve analysis was performed to identify a cutoff point on the grading score for stratifying patients at risk for unfavorable visual outcomes. RESULTS Fifty-two patients met all inclusion criteria. Twenty-five (48%) patients presented with intact vision, and 27 (51%) presented with some visual dysfunction. Postoperative favorable visual outcomes were achieved in 39 patients (75%). Among the 27 patients presenting with visual dysfunction, 14 (52%) experienced improvement after surgery. No new visual deficits were observed among the 25 patients with intact vision at baseline. Nine patients (17%) had a reversible complication. Multivariable analysis showed that severe preoperative visual deficit (OR 13.03, 95% CI 2.64–64.39; p = 0.002), radiographic evidence of optic nerve (ON) encasement (OR 4.20, 95% CI 1.06–16.61; p = 0.04), intraoperative evidence of ON invasion (OR 17.31, 95% CI 2.91–102.86; p = 0.002), an average ganglion cell layer thickness of ≤ 70 µm (OR 21.54, 95% CI 2.94–159.04; p = 0.003), and an average retinal nerve fiber layer thickness of ≤ 80 µm (OR 13.68, 95% CI 1.91–98.00; p = 0.009) were associated with unfavorable visual outcome. The predictive score included the following factors: abnormal optical coherence tomography (OCT) findings, radiographic evidence of ON encasement by the tumor, and severe preoperative visual deficit. A score ≥ 4 of 6 points was demonstrated to be the cutoff associated with unfavorable visual outcome, with a sensitivity of 80%, specificity of 88%, positive predictive value of 80%, negative predictive value of 88%, and area under the curve of 0.847 (95% CI 0.674–1.0; p = 0.003). CONCLUSIONS The authors have designed a practical and novel scoring system to predict visual outcomes in patients with ACMs. This scoring system may guide preoperative discussions with patients and timely surgical intervention to yield optimal visual function outcomes. Although most patients have excellent neurosurgical outcomes, severe baseline visual deficits, ON encasement, and characteristic OCT abnormalities are associated with unfavorable visual function after ACM resection.

Abstract This study aims to advance breast cancer (BC) subtype classification by employing machine learning algorithms to identify key diffusion parameters from apparent diffusion coefficient (ADC0-800) histogram, intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI). A total of 148 newly diagnosed BC patients were enrolled, confirmed through core needle biopsy, and subjected to histopathological analyses to assess key molecular markers such as estrogen and progesterone receptors (collectively termed hormone receptors), HER2, and ki67. These markers were then used to classify BC subtypes. Utilizing advanced post-processing techniques on multi-b-value MR Images, the study employed a diverse set of machine learning (ML) algorithms (supervised, unsupervised, and deep learning techniques) to quantitatively assess their diagnostic utility and subsequently identify algorithmically refined diffusion signatures. Machine learning algorithms demonstrated varying efficacies in the classification of BC subtypes. Key diffusion parameters were prioritized based on feature importance values from the ML models with the highest mean AUC and were further validated using group comparison tests and univariate logistic regression. In conclusion, our findings underscore the importance of tailored ML algorithms in classifying BC subtypes and advocate for a synergistic approach in personalized oncology and precision medicine.

Abstract Diffuse large B-cell lymphoma (DLBCL), not otherwise specified, is the most common subtype of large B-cell lymphoma, with differences in prognosis reflecting heterogeneity in the pathological, molecular, and clinical features. Current treatment standard is based on multiagent chemotherapy, including anthracycline and monoclonal anti-CD20 antibody, which leads to cure in 60% of patients. Recent years have brought new insights into lymphoma biology and have helped refine the risk groups. The results of these studies inspired the design of new clinical trials with targeted therapies and response-adapted strategies and allowed to identify groups of patients potentially benefiting from new agents. This review summarizes recent progress in identifying high-risk patients with DLBCL using clinical and biological prognostic factors assessed at diagnosis and during treatment in the front-line setting, as well as new treatment strategies with the application of targeted agents and immunotherapy, including response-adapted strategies.