Citations

Abstract Background and study aims Endoscopic ultrasound (EUS)-guided fine-needle aspiration (EUS-FNA) has limitations of inadequate sampling and false-negative results for malignancy. It has been performed using conventional smear (CS) cytology with rapid on-site evaluation (ROSE) with reasonable diagnostic accuracy. An alternative to ROSE is liquid-based cytology (LBC). Commonly used LBC techniques include precipitation-based (SurePath™) and filtration-based (ThinPrep®, CellPrep®). Data regarding the diagnostic efficacy of LBC compared with CS are limited. Methods Multiple databases were searched through March 2020 to identify studies reporting diagnostic yield of EUS-guided CS and LBC in pancreatic lesions. Pooled diagnostic odds and rates of performance for the cytologic diagnoses of benign, suspicious, and malignant lesions were calculated. Diagnostic efficacy was evaluated by pooled rates of accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Results Nine studies with a total of 1308 patients were included in our final analysis. Pooled diagnostic odds of CS cytology were 1.69 (CI 1.02–2.79) and 0.39 (CI 0.19–0.8) for malignant lesions when compared to filtration-based and precipitation-based LBC techniques, respectively. For CS, precipitation-based and filtration-based LBC, pooled diagnostic accuracy was 79.7 %, 85.2 %, 77.3 %, sensitivity was 79.2 %, 83.6 %, 68.3 %, and specificity was 99.4 %, 99.5 %, 99.5 %, respectively. Conclusions The precipitation-based LBC technique (SurePath™) had superior diagnostic odds for malignant pancreatic lesions compared with CS cytology in the absence of ROSE. It showed superior accuracy and sensitivity, but comparable specificity and PPV. Diagnostic odds of CS cytology in the absence of ROSE were superior to the filtration-based LBC technique (ThinPrep®, Cellprep®) for diagnosing malignant pancreatic lesions.

Abstract Background and study aims Recently, a growing body of evidence has been amassed on evaluation of artificial intelligence (AI) known as deep learning in computer-aided diagnosis of gastrointestinal lesions by means of convolutional neural networks (CNN). We conducted this meta-analysis to study pooled rates of performance for CNN-based AI in diagnosis of gastrointestinal neoplasia from endoscopic images. Methods Multiple databases were searched (from inception to November 2019) and studies that reported on the performance of AI by means of CNN in the diagnosis of gastrointestinal tumors were selected. A random effects model was used and pooled accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated. Pooled rates were categorized based on the gastrointestinal location of lesion (esophagus, stomach and colorectum). Results Nineteen studies were included in our final analysis. The pooled accuracy of CNN in esophageal neoplasia was 87.2 % (76–93.6) and NPV was 92.1 % (85.9–95.7); the accuracy in lesions of stomach was 85.8 % (79.8–90.3) and NPV was 92.1 % (85.9–95.7); and in colorectal neoplasia the accuracy was 89.9 % (82–94.7) and NPV was 94.3 % (86.4–97.7). Conclusions Based on our meta-analysis, CNN-based AI achieved high accuracy in diagnosis of lesions in esophagus, stomach, and colorectum.

Abstract Background and study aims Endoscopic ultrasound guided pancreatic duct drainage (EUS-PDD) is a minimal-invasive therapeutic option to surgery and in patients with failed endoscopic retrograde pancreatography (ERP). The aim of this review was to quantitatively appraise the clinical outcomes of EUS-PDD by meta-analysis methods. Methods We searched multiple databases from inception through March 2020 to identify studies that reported on EUS-PDD. Pooled rates of technical success, successful drainage of pancreatic duct, clinical success, and adverse events were calculated. Study heterogeneity was assessed using I2% and 95 % prediction interval. Results A total of 22 studies (714 patients) were included. The pooled rate of technical success in EUS-PDD was 84.8 % (95 % CI 79.1–89.2). The pooled rate of successful PD drained by EUS-PDD was 77.5 % (95 % CI 63.1–87.4). The pooled rate of clinical success of EUS-PDD was 89.2 % (95 % CI 82.1–93.7). The pooled rate of all adverse events was 18.1 % (95 % CI 14.2–22.9). On sub-group analysis, the pooled technical success and clinical success of EUS-PDD from Japanese data were considerably superior (91.2 %, 83–95.6 & 92.5 %, 83.9–96.7, respectively). The pooled rate of post EUS-PDD acute pancreatitis was 6.6 % (95 % CI 4.5–9.4), bleeding was 4.1 % (95 % CI 2.7–6.2), perforation and/or pneumoperitoneum was 3.1 % (95 % CI 1.9–5), pancreatic leak and/or pancreatic fluid collection was 2.3 % (95 % CI 1.4–4), and infection was 2.8 % (95 % CI 1.7–4.6). Conclusion EUS-PDD demonstrates high technical success and clinical success rates with acceptable adverse events. Technical success was especially high for anastomotic strictures.

Abstract Acidosis is among the least studied secondary injury mechanisms associated with neurotrauma. Acute decreases in brain pH correlate with poor long‐term outcome in patients with traumatic brain injury (TBI), however, the temporal dynamics and underlying mechanisms are unclear. As key drivers of neuroinflammation, we hypothesized that microglia directly regulate acidosis after TBI, and thereby, worsen neurological outcomes. Using a controlled cortical impact model in adult male mice we demonstrate that intracellular pH in microglia and extracellular pH surrounding the lesion site are significantly reduced for weeks after injury. Microglia proliferation and production of reactive oxygen species (ROS) were also increased during the first week, mirroring the increase in extracellular ROS levels seen around the lesion site. Microglia depletion by a colony stimulating factor 1 receptor (CSF1R) inhibitor, PLX5622, markedly decreased extracellular acidosis, ROS production, and inflammation in the brain after injury. Mechanistically, we identified that the voltage‐gated proton channel Hv1 promotes oxidative burst activity and acid extrusion in microglia. Compared to wildtype controls, microglia lacking Hv1 showed reduced ability to generate ROS and extrude protons. Importantly, Hv1‐deficient mice exhibited reduced pathological acidosis and inflammation after TBI, leading to long‐term neuroprotection and functional recovery. Our data therefore establish the microglial Hv1 proton channel as an important link that integrates inflammation and acidosis within the injury microenvironment during head injury.

ABSTRACTObjectivesTo determine how self-reported level of exposure to patients with novel coronavirus 2019 (COVID-19) affected the perceived safety, training and well-being of residents and fellows.MethodsWe administered an anonymous, voluntary, web-based survey to a convenience sample of trainees worldwide. The survey was distributed by email and social media posts from April 20th to May 11th, 2020. Respondents were asked to estimate the number of patients with COVID-19 they cared for in March and April 2020 (0, 1–30, 31–60, >60). Survey questions addressed (1) safety and access to personal protective equipment (PPE), (2) training and professional development and (3) well-being and burnout.ResultsSurveys were completed by 1420 trainees (73% residents, 27% fellows), most commonly from the USA (n=670), China (n=150), Saudi Arabia (n=76) and Taiwan (n=75). Trainees who cared for a greater number of patients with COVID-19 were more likely to report limited access to PPE and COVID-19 testing and more likely to test positive for COVID-19. Compared with trainees who did not take care of patients with COVID-19 , those who took care of 1–30 patients (adjusted OR [AOR] 1.80, 95% CI 1.29 to 2.51), 31–60 patients (AOR 3.30, 95% CI 1.86 to 5.88) and >60 patients (AOR 4.03, 95% CI 2.12 to 7.63) were increasingly more likely to report burnout. Trainees were very concerned about the negative effects on training opportunities and professional development irrespective of the number of patients with COVID-19 they cared for.ConclusionExposure to patients with COVID-19 is significantly associated with higher burnout rates in physician trainees.

Background Aortic stenosis–related mortality might vary across demographic subsets, regions, and states in the United States. Methods and Results We reviewed the death certificate data from the Centers for Disease Control and Prevention Wide‐Ranging OnLine Data for Epidemiologic Research database to examine aortic stenosis–related mortality trends from 2008 to 2018. Crude and age‐adjusted mortality rates (AAMRs) per 100 000 people and annual percentage change with 95% CIs were calculated. Between 2008 and 2018, AAMR reduced from 12.7 to 11.5 (average annual percentage change, −1.0 [95% CI, −1.5 to −0.5]), because of an accelerated decline between 2015 and 2018 (annual percentage change, −4.4 [95% CI, −6.0 to −2.7]). Older (aged >85 years), male, and White patients had higher death rates than younger, female, and non‐White patients, respectively. Although mortality reduction was similar across sexes, significant mortality reduction was limited to White patients only. The AAMRs were higher in rural than urban areas. States with AAMRs >90th percentile were distributed in the West and the Northeast, and <10th percentile in the South. The AAMRs for sex and race were highest in the West and lowest in the South. None of the states located in the Midwest showed a significant reduction in mortality. Mortality remained stable for hospital setting and nursing home/long‐term care facility, except that the number of deaths increased at home and hospice facility since 2014. Conclusions The reduction in mortality in patients with aortic stenosis was not consistent among demographic subsets and states. The substantial public health and economic implications call for determination of underlying clinical and socioeconomic factors to narrow the gap.

Abstract BackgroundRe-allocation of resources during the COVID-19 pandemic has resulted in delays in care delivery to patients with cardiovascular disease and cancer. The ability of health care providers to provide optimal care in this setting has not been formally evaluated.ObjectivesTo assess the impact of COVID-19 resource re-allocation on scheduling, testing, elective procedures, telemedicine access, use of new COVID-19 therapies, and providers’ opinions on healthcare policies among oncology and cardiology practitioners.MethodsAn electronic survey was conducted by a cardio-oncology collaborative network through regional and state chapters of the American College of Cardiology , American Society of Clinical Oncology, and the International Cardio-Oncology Society. Descriptive statistics were reported by frequency and proportion for analyses, and stratified categorically by geographic region and specialty.Results1,415 providers (43 countries) participated: 986 cardiologists, 306 oncologists, and 118 trainees/internal medicine. 63% (195/306) of oncologists vs 92% (896/976) of cardiologists reported cancellations of treatments/elective procedures (p=0.01). 46% (442/970) of cardiologists and 25% (76/303) of oncologists modified the scope of their practice (p=<0.001). Academic physicians (74.5%) felt better supplied with personal protective equipment (PPE) vs non-academic (74.5% vs 67.2%; p=0.018). Telemedicine was less common in Europe 81% (74/91), and Latin America 64% (101/158), than the United States, 88% (950/1,097) (p=<0.001). 95% of all groups supported more active leadership from medical professional societies.ConclusionsThese results support initiatives to promote expanded coverage for telemedicine, increased access to PPE, better testing availability and involvement of medical professional societies to help with preparedness for future health care crisis.Appendix: Link to the Survey: https://www.surveymonkey.com/r/C8ZDYNW