Citations

Pembrolizumab is an immune checkpoint inhibitor used in many cancer types, including genitourinary cancers. Although immunotherapies have dramatically changed the landscape of cancer treatment by providing an alternative to traditional chemotherapy, they have been associated with significant immune-related adverse events (IRAEs) with wide-ranging clinical manifestations. We present the case of an elderly woman on pembrolizumab for metastatic bladder cancer who developed cutaneous IRAE with lichenoid eruptions that responded to high-dose intravenous glucocorticoids.

Purpose of review Cardiogenic shock (CS) results in persistently high short-term mortality and a lack of evidence-based therapies. Several trials of novel interventions have failed to show an improvement in clinical outcomes despite promising preclinical and physiologic principles. In this review, we highlight the challenges of CS trials and provide suggestions for the optimization and harmonization of their design. Recent findings CS clinical trials have been plagued by slow or incomplete enrolment, heterogeneous or nonrepresentative patient cohorts, and neutral results. To achieve meaningful, practice-changing results in CS clinical trials, an accurate CS definition, a pragmatic staging of its severity for appropriate patient selection, an improvement in informed consent process, and the use of patient-centered outcomes are required. Future optimizations include the use of predictive enrichment using host response biomarkers to unravel the biological heterogeneity of the CS syndrome and identify subphenotypes most likely to benefit from individualized treatment to allow a personalized medicine approach. Summary Accurate characterization of CS severity and its pathophysiology are crucial to unravel heterogeneity and identify the patients most likely to benefit from a tested treatment. Implementation of biomarker-stratified adaptive clinical trial designs (i.e., biomarker or subphenotype-based therapy) might provide important insights into treatment effects.

Summary: The latissimus dorsi muscle is the workhorse flap for intrathoracic reconstruction. Prior thoracotomy, which divides the latissimus dorsi muscle, limits the muscle’s intrathoracic reach. We present our experience using the distal portion of the muscle for intrathoracic reconstruction based off an intercostal vessel. We also demonstrate the ability of this intercostal perforator to allow for chimeric flap elevation with a separate skin paddle, depending on the branching pattern of the intercostal vessels. This study provides a case series of three consecutive patients, treated between September 2021 and June 2022. The intrathoracic pathology addressed in these patients are bronchopleural fistula, aortoesophageal fistula, and bronchoesophageal fistula. All patients had the resolution of symptoms related to intrathoracic fistulae and did not experience recurrence. This novel pedicled muscle flap can be an additional option for patients with prior thoracotomy and avoids the morbidity which can be seen with the serratus or rectus abdominis muscle flaps.

Background: Complete brachial plexus injuries are devastating injuries. A viable C5 spinal nerve can offer additional sources of axons and alter surgical treatment. We aimed to determine factors that portend C5 nerve root avulsion. Methods: A retrospective study of 200 consecutive patients with complete brachial plexus injuries at two international centers (Mayo Clinic in the United States and Chang Gung Memorial Hospital in Taiwan) was performed. Demographic information, concomitant injuries, mechanism, and details of the injury were determined, and kinetic energy (KE) and Injury Severity Score were calculated. C5 nerve root was evaluated by preoperative imaging, intraoperative exploration, and/or intraoperative neuromonitoring. A spinal nerve was considered viable if it was grafted during surgery. Results: Complete five-nerve root avulsions of the brachial plexus were present in 62% of US and 43% of Taiwanese patients, which was significantly different. Increasing age, the time from injury to surgery, weight, body mass index of patient, motor vehicle accident, KE, Injury Severity Score, and presence of vascular injury significantly increased the risk of C5 avulsion. Motorcycle (≤150cc) or bicycle accident decreased the risk of avulsion. Significant differences were found between demographic variables between the two institutions: age of injury, body mass index, time to surgery, vehicle type, speed of injury, KE, Injury Severity Score, and presence of vascular injury. Conclusions: The rate of complete avulsion injury was high in both centers. Although there are a number of demographic differences between the United States and Taiwan, overall the KE of the accident increased the risk of C5 avulsion.

Importance Electroencephalograms (EEGs) are a fundamental evaluation in neurology but require special expertise unavailable in many regions of the world. Artificial intelligence (AI) has a potential for addressing these unmet needs. Previous AI models address only limited aspects of EEG interpretation such as distinguishing abnormal from normal or identifying epileptiform activity. A comprehensive, fully automated interpretation of routine EEG based on AI suitable for clinical practice is needed. Objective To develop and validate an AI model (Standardized Computer-based Organized Reporting of EEG–Artificial Intelligence [SCORE-AI]) with the ability to distinguish abnormal from normal EEG recordings and to classify abnormal EEG recordings into categories relevant for clinical decision-making: epileptiform-focal, epileptiform-generalized, nonepileptiform-focal, and nonepileptiform-diffuse. Design, Setting, and Participants In this multicenter diagnostic accuracy study, a convolutional neural network model, SCORE-AI, was developed and validated using EEGs recorded between 2014 and 2020. Data were analyzed from January 17, 2022, until November 14, 2022. A total of 30 493 recordings of patients referred for EEG were included into the development data set annotated by 17 experts. Patients aged more than 3 months and not critically ill were eligible. The SCORE-AI was validated using 3 independent test data sets: a multicenter data set of 100 representative EEGs evaluated by 11 experts, a single-center data set of 9785 EEGs evaluated by 14 experts, and for benchmarking with previously published AI models, a data set of 60 EEGs with external reference standard. No patients who met eligibility criteria were excluded. Main Outcomes and Measures Diagnostic accuracy, sensitivity, and specificity compared with the experts and the external reference standard of patients’ habitual clinical episodes obtained during video-EEG recording. Results The characteristics of the EEG data sets include development data set (N = 30 493; 14 980 men; median age, 25.3 years [95% CI, 1.3-76.2 years]), multicenter test data set (N = 100; 61 men, median age, 25.8 years [95% CI, 4.1-85.5 years]), single-center test data set (N = 9785; 5168 men; median age, 35.4 years [95% CI, 0.6-87.4 years]), and test data set with external reference standard (N = 60; 27 men; median age, 36 years [95% CI, 3-75 years]). The SCORE-AI achieved high accuracy, with an area under the receiver operating characteristic curve between 0.89 and 0.96 for the different categories of EEG abnormalities, and performance similar to human experts. Benchmarking against 3 previously published AI models was limited to comparing detection of epileptiform abnormalities. The accuracy of SCORE-AI (88.3%; 95% CI, 79.2%-94.9%) was significantly higher than the 3 previously published models ( P < .001) and similar to human experts. Conclusions and Relevance In this study, SCORE-AI achieved human expert level performance in fully automated interpretation of routine EEGs. Application of SCORE-AI may improve diagnosis and patient care in underserved areas and improve efficiency and consistency in specialized epilepsy centers.

Abstract Abnormal expansions of GGGGCC repeat sequence in the noncoding region of the C9orf72 gene is the most common cause of familial amyotrophic lateral sclerosis and frontotemporal dementia (C9-ALS/FTD). The expanded repeat sequence is translated into dipeptide repeat proteins (DPRs) by noncanonical repeat-associated non-AUG (RAN) translation. Since DPRs play central roles in the pathogenesis of C9-ALS/FTD, we here investigate the regulatory mechanisms of RAN translation, focusing on the effects of RNA-binding proteins (RBPs) targeting GGGGCC repeat RNAs. Using C9-ALS/FTD model flies, we demonstrated that the ALS/FTD-linked RBP FUS suppresses RAN translation and neurodegeneration in an RNA-binding activity-dependent manner. Moreover, we found that FUS directly binds to and modulates the G-quadruplex structure of GGGGCC repeat RNA as an RNA chaperone, resulting in the suppression of RAN translation in vitro. These results reveal a previously unrecognized regulatory mechanism of RAN translation by G-quadruplex-targeting RBPs, providing therapeutic insights for C9-ALS/FTD and other repeat expansion diseases.

AbstractBackground and AimAlthough fidaxomicin is an effective first‐line treatment for Clostridioides difficile infection, it has not been well studied in patients with inflammatory bowel disease. We aimed to assess the effectiveness of fidaxomicin for the treatment of C. difficile infection in patients with inflammatory bowel disease.MethodsThis was a multicenter retrospective study of adults with inflammatory bowel disease and C. difficile infection treated with fidaxomicin with at least 3 months of follow up. The primary outcomes were treatment response, defined as resolution of C. difficile infection‐attributed diarrhea and/or negative C. difficile infection stool test, and time to C. difficile infection recurrence after fidaxomicin.ResultsThirty‐three patients (median age 42 years; 60.6% female) were included. Most patients had ulcerative colitis (26, 78.8%), were receiving treatment with a biologic or small molecule medication (19, 57.6%), and had a prior episode of C. difficile infection (26, 78.8%, median 2 episodes, range 0–15). Fidaxomicin led to resolution of C. difficile infection in 20 (60.6%) patients, with 6/20 (30.0%) developing a recurrence at a median of 55 days. Most patients who failed to respond to fidaxomicin underwent fecal microbiota transplantation (10/13, 76.9%) with resolution.ConclusionsIn this cohort of patients with inflammatory bowel disease and C. difficile infection, 60.6% responded to treatment with fidaxomicin. Of those who did not respond, fecal microbiota transplantation was an effective therapy.

AbstractBackgroundFerroptosis is an important iron‐dependent form of cell death in hepatocellular carcinoma (HCC). Sorafenib, a potent ferroptosis inducer, is used to treat advanced HCC but its efficacy is limited by the development of drug resistance.MethodsThe effects of DUXAP8 expression on HCC progression were evaluated by TCGA database, Kaplan‐Meier analysis, and in situ hybridization analysis. Sorafenib resistant HCC cell lines were modeled in vitro to study the regulation of DUXAP8 on ferroptosis in HCC induced by sorafenib. We used RNA pull‐down, immunofluorescence assays, acyl‐biotinyl exchange assay and mass spectrometry analysis to assess the molecular mechanism of ferroptosis regulation by DUXAP8. Syngeneic subcutaneous and orthotopic CDX models were used to assess whether DUXAP8 inhibition improves HCC in vivo.ResultsLncRNA DUXAP8, which is highly expressed in liver cancer and associated with poor prognosis, contributes to sorafenib resistance through suppression of ferroptosis. In vitro tests revealed that DUXAP8 reduced the sensitivity of HCC to sorafenib‐induced ferroptosis by acting on SLC7A11, a subunit of the amino acid antiporter system xc‐. DUXAP8 facilitates SLC7A11 palmitoylation and impedes its lysosomal degradation, thereby enhancing SLC7A11 action and suppressing ferroptosis. RNA pull‐down and immunofluorescence assays confirmed that DUXAP8 decreased membrane translocation and promoted sorting of de‐palmitoylated SLC7A11 to lysosomes by binding of DUXAP8 to SLC7A11. In addition, mass spectrometric analysis found that the Cys414 residue of SLC7A11 might be the predominant mutant site responsible for molecular masking of SLC7A11 lysosomal sorting. Further, the antitumor effect of DUXAP8 knockdown was verified in orthotopic and subcutaneous CDX models.ConclusionsOur findings suggest that a novel translational strategy combining sorafenib with DUXAP8 silencing to overcome drug resistance may improve treatment efficacy in patients with advanced HCC.