Citations

AbstractLow back pain and neck pain, often with associated radiculopathy, are two of the most common reasons for referral to the outpatient neurology clinic. A thorough clinical evaluation remains paramount in establishing an accurate diagnosis and subsequently an appropriate treatment plan. In this article, we review anatomic considerations for spondylotic radiculopathy; outline the clinical approach for the evaluation of these patients, including discussion of electrodiagnostic and imaging modalities; and address treatment options based on a stratified treatment approach.

Hypertension is a major cause of cardiovascular disease and deaths worldwide especially in low- and middle-income countries. Despite the availability of safe, well-tolerated, and cost-effective blood pressure (BP)-lowering therapies, <14% of adults with hypertension have BP controlled to a systolic/diastolic BP <140/90 mm Hg. We report new hypertension treatment guidelines, developed in accordance with the World Health Organization Handbook for Guideline Development. Overviews of reviews of the evidence were conducted and summary tables were developed according to the Grading of Recommendations, Assessment, Development, and Evaluations approach. In these guidelines, the World Health Organization provides the most current and relevant evidence-based guidance for the pharmacological treatment of nonpregnant adults with hypertension. The recommendations pertain to adults with an accurate diagnosis of hypertension who have already received lifestyle modification counseling. The guidelines recommend BP threshold to initiate pharmacological therapy, BP treatment targets, intervals for follow-up visits, and best use of health care workers in the management of hypertension. The guidelines provide guidance for choice of monotherapy or dual therapy, treatment with single pill combination medications, and use of treatment algorithms for hypertension management. Strength of the recommendations was guided by the quality of the underlying evidence; the tradeoffs between desirable and undesirable effects; patient’s values, resource considerations and cost-effectiveness; health equity; acceptability, and feasibility consideration of different treatment options. The goal of the guideline is to facilitate standard approaches to pharmacological treatment and management of hypertension which, if widely implemented, will increase the hypertension control rate world-wide.

Abstract Background Since its emergence in late 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to pose a risk to healthcare personnel (HCP) and patients in healthcare settings. Although all clinical interactions likely carry some risk of transmission, human actions, such as coughing, and care activities, such as aerosol-generating procedures, likely have a higher risk of transmission. The rapid emergence and global spread of SARS-CoV-2 continues to create significant challenges in healthcare facilities, particularly with shortages of the personal protective equipment (PPE) used by HCP. Evidence-based recommendations for what PPE to use in conventional, contingency, and crisis standards of care continue to be needed. Where evidence is lacking, the development of specific research questions can help direct funders and investigators. The purpose of the current study was to develop evidence-based rapid guidelines intended to support HCP in their decisions about infection prevention when caring for patients with suspected or known coronavirus disease 2019 (COVID-19). Methods The Infectious Diseases Society of America (IDSA) formed a multidisciplinary guideline panel including frontline clinicians, infectious disease specialists, experts in infection control, and guideline methodologists, with representation from the disciplines of public health, medical microbiology, pediatrics, critical care medicine and gastroenterology. The process followed a rapid recommendation checklist. The panel prioritized questions and outcomes. Then a systematic review of the peer-reviewed and gray literature was conducted. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to assess the certainty of evidence and make recommendations. Results The IDSA guideline panel agreed on 8 recommendations, including 2 updated recommendations and 1 new recommendation added since the first version of the guideline. Narrative summaries of other interventions undergoing evaluations are also included. Conclusions Using a combination of direct and indirect evidence, the panel was able to provide recommendations for 8 specific questions on the use of PPE by HCP providing care for patients with suspected or known COVID-19. Where evidence was lacking, attempts were made to provide potential avenues for investigation. There remain significant gaps in the understanding of the transmission dynamics of SARS-CoV-2, and PPE recommendations may need to be modified in response to new evidence. These recommendations should serve as a minimum for PPE use in healthcare facilities and do not preclude decisions based on local risk assessments or requirements of local health jurisdictions or other regulatory bodies.

Background: For COVID-19 lung severity, segmentation of lungs on computed tomography (CT) is the first crucial step. Current deep learning (DL)-based Artificial Intelligence (AI) models have a bias in the training stage of segmentation because only one set of ground truth (GT) annotations are evaluated. We propose a robust and stable inter-variability analysis of CT lung segmentation in COVID-19 to avoid the effect of bias. Methodology: The proposed inter-variability study consists of two GT tracers for lung segmentation on chest CT. Three AI models, PSP Net, VGG-SegNet, and ResNet-SegNet, were trained using GT annotations. We hypothesized that if AI models are trained on the GT tracings from multiple experience levels, and if the AI performance on the test data between these AI models is within the 5% range, one can consider such an AI model robust and unbiased. The K5 protocol (training to testing: 80%:20%) was adapted. Ten kinds of metrics were used for performance evaluation. Results: The database consisted of 5000 CT chest images from 72 COVID-19-infected patients. By computing the coefficient of correlations (CC) between the output of the two AI models trained corresponding to the two GT tracers, computing their differences in their CC, and repeating the process for all three AI-models, we show the differences as 0%, 0.51%, and 2.04% (all < 5%), thereby validating the hypothesis. The performance was comparable; however, it had the following order: ResNet-SegNet > PSP Net > VGG-SegNet. Conclusions: The AI models were clinically robust and stable during the inter-variability analysis on the CT lung segmentation on COVID-19 patients.

Abstract Therapeutic advances for glioblastoma have been minimal over the past 2 decades. In light of the multitude of recent phase III trials that have failed to meet their primary endpoints following promising preclinical and early-phase programs, a Society for Neuro-Oncology Think Tank was held in November 2020 to prioritize areas for improvement in the conduct of glioblastoma clinical trials. Here, we review the literature, identify challenges related to clinical trial eligibility criteria and trial design in glioblastoma, and provide recommendations from the Think Tank. In addition, we provide a data-driven context with which to frame this discussion by analyzing key study design features of adult glioblastoma clinical trials listed on ClinicalTrials.gov as “recruiting” or “not yet recruiting” as of February 2021.

Abstract Immunotherapy has revolutionized treatment for many hard-to-treat cancers but has yet to produce significant improvement in outcomes for patients with glioblastoma. This reflects the multiple and unique mechanisms of immune evasion and escape in this highly heterogeneous tumor. Glioblastoma engenders profound local and systemic immunosuppression and is remarkably effective at inducing T-cell dysfunction, posing a challenge to any immunotherapy-based approach. To overcome these mechanisms, multiple disparate modes of immune-oriented therapy will be required. However, designing trials that can evaluate these combinatorial approaches requires careful consideration. In this review, we explore the immunotherapy resistance mechanisms that have been encountered to date and how combinatorial approaches may address these. We also describe the unique aspects of trial design in both preclinical and clinical settings and consider endpoints and markers of response best suited for an intervention involving multiple agents.

Background: COVID-19 lung segmentation using Computed Tomography (CT) scans is important for the diagnosis of lung severity. The process of automated lung segmentation is challenging due to (a) CT radiation dosage and (b) ground-glass opacities caused by COVID-19. The lung segmentation methodologies proposed in 2020 were semi- or automated but not reliable, accurate, and user-friendly. The proposed study presents a COVID Lung Image Analysis System (COVLIAS 1.0, AtheroPoint™, Roseville, CA, USA) consisting of hybrid deep learning (HDL) models for lung segmentation. Methodology: The COVLIAS 1.0 consists of three methods based on solo deep learning (SDL) or hybrid deep learning (HDL). SegNet is proposed in the SDL category while VGG-SegNet and ResNet-SegNet are designed under the HDL paradigm. The three proposed AI approaches were benchmarked against the National Institute of Health (NIH)-based conventional segmentation model using fuzzy-connectedness. A cross-validation protocol with a 40:60 ratio between training and testing was designed, with 10% validation data. The ground truth (GT) was manually traced by a radiologist trained personnel. For performance evaluation, nine different criteria were selected to perform the evaluation of SDL or HDL lung segmentation regions and lungs long axis against GT. Results: Using the database of 5000 chest CT images (from 72 patients), COVLIAS 1.0 yielded AUC of ~0.96, ~0.97, ~0.98, and ~0.96 (p-value < 0.001), respectively within 5% range of GT area, for SegNet, VGG-SegNet, ResNet-SegNet, and NIH. The mean Figure of Merit using four models (left and right lung) was above 94%. On benchmarking against the National Institute of Health (NIH) segmentation method, the proposed model demonstrated a 58% and 44% improvement in ResNet-SegNet, 52% and 36% improvement in VGG-SegNet for lung area, and lung long axis, respectively. The PE statistics performance was in the following order: ResNet-SegNet > VGG-SegNet > NIH > SegNet. The HDL runs in <1 s on test data per image. Conclusions: The COVLIAS 1.0 system can be applied in real-time for radiology-based clinical settings.

ObjectiveKawasaki disease (KD) is a self‐limited vasculitis affecting medium‐sized vessels with a predilection for the coronary arteries. Although treatment reduces the likelihood of developing of coronary artery aneurysms, 5% of patients still develop aneurysms despite treatment, making KD the leading cause of acquired heart disease in children in the United States. Consequently, there is a great deal of interest in optimizing treatment regimens, particularly for higher‐risk patients, to decrease morbidity. The aim of this systematic review is to support the development of the American College of Rheumatology/Vasculitis Foundation for the diagnosis and management of KD, focusing on the more complex scenarios in which rheumatologists may become involved, such as high‐risk and refractory disease.MethodsEighty‐nine articles were considered for full review in this systematic literature review to address 16 Population, Intervention, Comparison, and Outcome questions related to KD. Data were abstracted in hierarchical fashion. Randomized control trials (RCTs) were considered first; if none were identified or if they contained insufficient information, comparative observational studies were then viewed, followed by single‐arm observational studies/single arms from comparative studies. Only observational studies with more than 10 subjects with vasculitis were included.ResultsEight RCTs and 28 observational studies that addressed the questions were identified. Two questions were addressed by RCTs, seven questions had at least some comparative observational studies, three questions were only addressed by single‐arm data, and four questions had no relevant studies.ConclusionThis systematic review evaluates the benefits and harms of treatments for KD beyond first‐line therapy.

PURPOSE Among Bruton's tyrosine kinase inhibitors, acalabrutinib has greater selectivity than ibrutinib, which we hypothesized would improve continuous therapy tolerability. We conducted an open-label, randomized, noninferiority, phase III trial comparing acalabrutinib and ibrutinib in patients with chronic lymphocytic leukemia (CLL). METHODS Patients with previously treated CLL with centrally confirmed del(17)(p13.1) or del(11)(q22.3) were randomly assigned to oral acalabrutinib 100 mg twice daily or ibrutinib 420 mg once daily until progression or unacceptable toxicity. The primary end point was independent review committee–assessed noninferiority of progression-free survival (PFS). RESULTS Overall, 533 patients (acalabrutinib, n = 268; ibrutinib, n = 265) were randomly assigned. At the data cutoff, 124 (46.3%) acalabrutinib patients and 109 (41.1%) ibrutinib patients remained on treatment. After a median follow-up of 40.9 months, acalabrutinib was determined to be noninferior to ibrutinib with a median PFS of 38.4 months in both arms (95% CI acalabrutinib, 33.0 to 38.6 and ibrutinib, 33.0 to 41.6; hazard ratio: 1.00; 95% CI, 0.79 to 1.27). All-grade atrial fibrillation/atrial flutter incidence was significantly lower with acalabrutinib versus ibrutinib (9.4% v 16.0%; P = .02); among other selected secondary end points, grade 3 or higher infections (30.8% v 30.0%) and Richter transformations (3.8% v 4.9%) were comparable between groups and median overall survival was not reached in either arm (hazard ratio, 0.82; 95% CI, 0.59 to 1.15), with 63 (23.5%) deaths with acalabrutinib and 73 (27.5%) with ibrutinib. Treatment discontinuations because of adverse events occurred in 14.7% of acalabrutinib-treated patients and 21.3% of ibrutinib-treated patients. CONCLUSION In this first direct comparison of less versus more selective Bruton's tyrosine kinase inhibitors in CLL, acalabrutinib demonstrated noninferior PFS with fewer cardiovascular adverse events.

AbstractBackgroundHospitals face the challenge of managing demand for limited computed tomography (CT) resources from multiple patient types while ensuring timely access.MethodsA discrete event simulation model was created to evaluate CT access time for emergency department (ED) patients at a large academic medical center with six unique CT machines that serve unscheduled emergency, semi‐scheduled inpatient, and scheduled outpatient demand. Three operational interventions were tested: adding additional patient transporters, using an alternative creatinine lab, and adding a registered nurse dedicated to monitoring CT patients in the ED.ResultsAll interventions improved access times. Adding one or two transporters improved ED access times by up to 9.8 minutes (Mann‐Whitney (MW) CI: [−11.0,−8.7]) and 10.3 minutes (MW CI [−11.5, −9.2]). The alternative creatinine and RN interventions provided 3‐minute (MW CI: [−4.0, −2.0]) and 8.5‐minute (MW CI: [−9.7, −8.3]) improvements.ConclusionsAdding one transporter provided the greatest combination of reduced delay and ability to implement. The projected simulation improvements have been realized in practice.