Citations

AbstractThe purpose of this systematic review and meta‐analysis was to examine clinical outcomes associated with convalescent plasma therapy in COVID‐19 patients. We performed a literature search on PubMed, medRxiv, Web of Science, and Scopus to identify studies published up to December 10th, 2020 that examined the efficacy of convalescent plasma treatment for COVID‐19. The primary endpoints were mortality, clinical improvement, and hospital length of stay. We screened 859 studies that met the search criteria, performed full‐text reviews of 56 articles, and identified 15 articles that fulfilled inclusion criteria for meta‐analysis. The odds of mortality were significantly lower in the convalescent plasma group compared to the control group (OR = 0.59 [95% CI = 0.44; 0.78], P < .001), although results from two key randomized controlled trials did not support the mortality benefit. The odds of clinical improvement were significantly higher in the convalescent plasma group compared to the control group (OR = 2.02 [95% CI = 1.54; 2.65], P < .001). There was no difference in hospital length of stay between the convalescent plasma group and the control group (MD = −0.49 days [95% CI = −3.11; 2.12], P = .713). In all, these data indicate that a mortality benefit with convalescent plasma is unclear, although there remain benefits with convalescent plasma therapy for COVID‐19.

Multiple myeloma (MM) is characterized by clonal expansion of malignant plasma cells (PCs) and aberrant production of monoclonal immunoglobulin detected as an M spike using serum protein electrophoresis. In the United States, MM represents ~15% of hematologic malignancies and is one of the few cancers increasing in incidence (e.g., 14,400 in 1996 to 32,270 in 2020, from SEER). Despite recent treatment advances, patients diagnosed with high risk/refractory MM (hrrMM) have an overall survival of only three years. Recently, our lab developed the first genetically engineered NrasQ61R; Myc-driven myeloma model (VQ mice). The VQ model recapitulates most biological and clinical features of hrrMM. VQ cells are serially transplantable into syngeneic recipients and can be propagated in vitro. As such, the VQ model could serve as a robust pre-clinical platform for drug screening and in vivo testing of new therapies to treat hrrMM. Whole exome sequencing (WES) of CD138+ cells from five primary VQ mice identified eight recurrently mutated genes. Of these eight genes, two have been previously identified as recurrently mutated in MM patients while the remainder appear to be unique to VQ myeloma. Meanwhile, RNA sequencing of CD138+ cells taken from both primary VQ mice and secondary VQ recipients show differential gene expression for five of these eight genes. Gene ontology analysis of recurrently mutated genes indicates that these genes play a role in interferon signaling, as well as receptor tyrosine kinase signaling. Here, we report the results of a high-throughput repurposing screen using the NCI's AOD IX library, which consists of 147 FDA-approved anti-cancer drugs. VQ cells were treated with 0.1 and 1µM of each compound in the presence or absence of 10nM of Trametinib (Tra), a potent MEK inhibitor. Screening results returned expected positive hits that were previously FDA approved for MM treatment (green dots, Panel 1B), such as proteasome inhibitors, histone deacetylase inhibitors, and chemotherapy drugs. Importantly, VQ cells were resistant to some compounds currently used to treat MM, including the BCL-2 inhibitor Venetoclax, the alkylating agent Melphalan, and the topoisomerase II inhibitor Etoposide (red dots, Panel 1B). De novo resistance to these therapies further indicates that the VQ cells model a multi-drug resistant MM. Two compounds were chosen for further testing: the protein translation inhibitor Omacetaxine (Oma) based on its single agent efficacy, and the multi-receptor tyrosine kinase inhibitor Ponatinib (Pot) based on its high synergy with Tra. Combination Index testing confirmed initial drug screening results but showed some antagonism between combination Oma and Pot treatment. We proceeded with in vivo testing of two novel combination therapies, in which 3-week treatment cycles were followed by a 1-week rest period between cycles: Three weeks of daily Tra and Pot treatment (TP), or two weeks of Tra and Pot treatment followed by one week of Oma (TPO) treatment. Vehicle (Veh) treated and Tra only treated mice were used as controls. Treatment efficacy was assessed against VQ-D1 MM, which grows primarily in the bone marrow (BM) and metastasizes to the spleen and liver of recipient mice. Four weeks post-treatment, myeloma growth in the BM was significantly reduced in both combo treatment groups, while MM burden in the spleen was also reduced. Overall, both TP and TPO treatment significantly extended survival compared to Veh or Tra treated mice, and significantly reduced liver extramedullary disease. To further test the range of Tra/Pot synergy in vivo, Tra dosage was reduced and treatment was administered daily. Interestingly, both low dose Tra monotherapy and TP combo therapy significantly extended survival compared to Veh control or Pot alone, and TP treated mice had increased survival compared to the Tra only treated mice. Taken together, our results show that low dose daily Trametinib treatment is superior to cycling dosage, and that Ponatinib treatment synergizes with both dosing schedules to extend survival in vivo. Our study demonstrates the utility of the VQ model for identifying new treatments for hrrMM and testing their efficacy in vivo. As part of our ongoing drug repurposing experiments, we have expanded our screening to a panel of 2,580 FDA-approved drugs, including but not limited to anti-cancer and anti-inflammatory drugs. Figure Disclosures Callander: Cellectar: Research Funding; University of Wisconsin: Current Employment.

ABSTRACT Introduction The emergence of more complex Prolonged Field Care in austere settings and the need to assist inexperienced providers’ ability to treat patients create an urgent need for effective tools to support care. We report on a project to develop a phone-/tablet-based decision support system for prehospital tactical combat casualty care that collects physiologic and other clinical data and uses machine learning to detect and differentiate shock manifestation. Materials and Methods Software interface development methods included literature review, rapid prototyping, and subject matter expert design requirements reviews. Machine learning algorithm methods included development of a model trained on publicly available Medical Information Mart for Intensive Care data, then on de-identified data from Mayo Clinic Intensive Care Unit. Results The project team interviewed 17 Army, Air Force, and Navy medical subject matter experts during design requirements review sessions. They had an average of 17 years of service in military medicine and an average of 4 deployments apiece and all had performed tactical combat casualty care on live patients during deployment. Comments provided requirements for shock identification and management in prehospital settings, including support for indication of shock probability and shock differentiation. The machine learning algorithm based on logistic regression performed best among other algorithms we tested and was able to predict shock onset 90 minutes before it occurred with better than 75% accuracy in the test dataset. Conclusions We expect the Trauma Triage, Treatment, and Training Decision Support system will augment a medic’s ability to make informed decisions based on salient patient data and to diagnose multiple types of shock through remotely trained, field deployed ML models.

PURPOSE The eastern corridor of Africa is affected by a high burden of esophageal cancer (EC), with > 90% of patients presenting with advanced disease. Self-expanding metal stents (SEMS) have been previously reported as safe and effective for palliation of malignant dysphagia in resource-limited settings; however, access is limited throughout Eastern Africa. METHODS In response to demand for palliative interventions for patients with dysphagia because of EC, the African Esophageal Cancer Consortium (AfrECC) partnered with the Clinton Health Access Initiative to improve access to SEMS in Eastern Africa. We undertook a stepwise implementation approach to (1) identify barriers to SEMS access, (2) conduct a market analysis, (3) select an industry partner, (4) establish regulatory and procurement processes, (5) develop endoscopic training resources, (6) create a medical device registry, and (7) establish principles of accountability. RESULTS Following an evaluation of market demand and potential SEMS manufacturers, Boston Scientific Corporation announced its commitment to launch an access program to provide esophageal SEMS to patients in Tanzania, Kenya, Malawi, and Zambia at a subsidized price. Parallel regulatory and procurement processes were established in each participating country. Endoscopy training courses were designed and conducted, using the Training-of-Trainers model. A device registry was created to centralize data for quality control and to monitor channels of SEMS distribution. Principles of accountability were developed to guide the sustainability of this endeavor. CONCLUSION The AfrECC Stent Access Initiative is an example of a multisector partnership formed to provide an innovative solution to align regional needs with a supply chain for a high-priority medical device.

Laser capture microdissection (LCM) coupled to label-free quantitative mass spectrometry is a viable strategy to identify biomarkers from infected tissues. In this study, LCM was employed to take a “snapshot” of proteins produced in vivo during Coccidiodies spp. infection in human lungs. Proteomic analysis of LCM lung sections revealed hundreds of hosts and Coccidioidal proteins. Twenty-seven highly abundant Coccidioides spp. proteins were identified which do not share significant sequence orthology with human proteins. Three of the 27 Coccidioidal proteins are also potential Coccidoides-specific biomarkers, as they also do not share sequence homology to any other pathogenic fungus or microbe. Gene ontology analysis of the 27 biomarker candidate proteins revealed enriched hydrolase activity and increased purine and carbohydrate metabolism functions. Finally, we provide proteomic evidence that all 27 biomarker candidates are produced by the fungus when grown in vitro in a media- and growth-phase dependent manner.

This report presents the American Society of Clinical Oncology’s (ASCO’s) evaluation of the adaptations in care delivery, research operations, and regulatory oversight made in response to the coronavirus pandemic and presents recommendations for moving forward as the pandemic recedes. ASCO organized its recommendations for clinical research around five goals to ensure lessons learned from the COVID-19 experience are used to craft a more equitable, accessible, and efficient clinical research system that protects patient safety, ensures scientific integrity, and maintains data quality. The specific goals are: (1) ensure that clinical research is accessible, affordable, and equitable; (2) design more pragmatic and efficient clinical trials; (3) minimize administrative and regulatory burdens on research sites; (4) recruit, retain, and support a well-trained clinical research workforce; and (5) promote appropriate oversight and review of clinical trial conduct and results. Similarly, ASCO also organized its recommendations regarding cancer care delivery around five goals: (1) promote and protect equitable access to high-quality cancer care; (2) support safe delivery of high-quality cancer care; (3) advance policies to ensure oncology providers have sufficient resources to provide high-quality patient care; (4) recognize and address threats to clinician, provider, and patient well-being; and (5) improve patient access to high-quality cancer care via telemedicine. ASCO will work at all levels to advance the recommendations made in this report.

Abstract Background Cutibacterium species are common pathogens in periprosthetic joint infections (PJI). These infections are often treated with β-lactams or clindamycin as monotherapy, or in combination with rifampin. Clinical evidence supporting the value of adding rifampin for treatment of Cutibacterium PJI is lacking. Methods In this multicenter retrospective study, we evaluated patients with Cutibacterium PJI and a minimal follow-up of 12 months. The primary endpoint was clinical success, defined by the absence of infection relapse or new infection. We used Fisher’s exact tests and Cox proportional hazards models to analyze the effect of rifampin and other factors on clinical success after PJI. Results We included 187 patients (72.2% male, median age 67 years) with a median follow-up of 36 months. The surgical intervention was a 2-stage exchange in 95 (50.8%), 1-stage exchange in 51 (27.3%), debridement and implant retention (DAIR) in 34 (18.2%), and explantation without reimplantation in 7 (3.7%) patients. Rifampin was included in the antibiotic regimen in 81 (43.3%) cases. Infection relapse occurred in 28 (15.0%), and new infection in 13 (7.0%) cases. In the time-to-event analysis, DAIR (adjusted hazard ratio [HR] = 2.15, P = .03) and antibiotic treatment over 6 weeks (adjusted HR = 0.29, P = .0002) significantly influenced treatment failure. We observed a tentative evidence for a beneficial effect of adding rifampin to the antibiotic treatment—though not statistically significant for treatment failure (adjusted HR = 0.5, P = .07) and not for relapses (adjusted HR = 0.5, P = .10). Conclusions We conclude that a rifampin combination is not markedly superior in Cutibacterium PJI, but a dedicated prospective multicenter study is needed.