Background: Pancreatic cancer (PC) is a highly fatal malignancy with a global overall 5-year survival of under 10%. Screening of PC is not recommended outside of clinical trials. Endoscopic ultrasonography (EUS) is a very sensitive test to identify PC but lacks specificity and is operator-dependent, especially in the presence of chronic pancreatitis (CP). Artificial Intelligence (AI) is a growing field with a wide range of applications to augment the currently available modalities. This study was undertaken to study the effectiveness of AI with EUS in the diagnosis of PC. Methods: Studies from MEDLINE and EMBASE databases reporting the AI performance applied to EUS imaging for recognizing PC. Data were analyzed using descriptive statistics. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was used to assess the quality of the included studies. Results: A total of 11 articles reported the role of EUS in the diagnosis of PC. The overall accuracy, sensitivity, and specificity of AI in recognizing PC were 80–97.5%, 83–100%, and 50–99%, respectively, with corresponding positive predictive value (PPV) and negative predictive value (NPV) of 75–99% and 57–100%, respectively. Types of AI studied were artificial neural networks (ANNs), convolutional neural networks (CNN), and support vector machine (SVM). Seven studies using other than basic ANN reported a sensitivity and specificity of 88–96% and 83–94% to differentiate PC from CP. Two studies using SVM reported a 94–96% sensitivity, 93%–99% specificity, and 94–98% accuracy to diagnose PC from CP. The reported sensitivity and specificity of detection of malignant from benign Intraductal Papillary Mucinous Neoplasms (IPMNs) was 96% and 92%, respectively. Conclusion: AI reported a high sensitivity with high specificity and accuracy to diagnose PC, differentiate PC from CP, and differentiate benign from malignant IPMN when used with EUS.

Introduction Hypertriglyceridemia (HTG)-induced pancreatitis is the third most common cause of acute pancreatitis after gallstone disease and alcohol. We analyzed data from the National (Nationwide) Inpatient Sample (NIS) with the aim of evaluating the outcomes of patients with HTG-induced pancreatitis when compared to those with biliary-induced pancreatitis. Methods The NIS database was sourced for data involving adult hospitalizations for HTG-induced pancreatitis in the United States between January 1, 2016 and December 31, 2017. The main outcome was mortality in patients with biliary pancreatitis vs HTG pancreatitis. Secondary outcomes were the incidence of sepsis, septic shock, non-ST-elevation myocardial infarction (NSTEMI), blood transfusion requirements, acute kidney failure, acute respiratory distress syndrome (ARDS), and length of hospital stay. Results A total of 575,230 patients were admitted with a diagnosis of acute pancreatitis, 18.2% of which were classified as having HTG pancreatitis. The in-hospital mortality for pancreatitis was 0.59%. Patients with HTG pancreatitis had lower odds of in-hospital mortality (adjusted odds ratio [aOR]: 0.74, 95% CI 0.582-0.934, p=0.012) compared to those with biliary pancreatitis. Patients with HTG pancreatitis had less odds of developing comorbid sepsis (aOR: 0.52, 95% CI 0.441-0.612, p<0.001), septic shock (aOR: 0.64, 95% CI 0.482-0.851, p<0.001), and NSTEMI (aOR: 0.70, 95% CI 0.535-0.926, p<0.001) and had less odds of requiring transfusion of blood products (aOR: 0.57, 95% CI 0.478-0.678, p<0.001) when compared to those with biliary pancreatitis. Patients with HTG pancreatitis also had a lower average length of hospital stay and lower total hospital charges compared to those with biliary pancreatitis. There was no statistical difference, however, in acute kidney failure and ARDS between the two groups.

Sclerosing encapsulating peritonitis (SEP), which is interchangeably used with the term ''abdominal cocoon syndrome'', is a rare condition characterized by a thick fibrous membrane encasing portions of the intestinal wall leading to recurrent bowel obstructions. To date, literature describing the association between this condition and chronic beta-blocker therapy is scarce. This report adds by detailing a rare presentation of SEP and highlights an understudied yet important association of SEP with chronic beta-blocker therapy.

This study compares the odds of being admitted for inflammatory bowel disease (IBD) in patients with psoriasis compared with those without psoriasis alone. We also compared hospital outcomes of patients admitted primarily for IBD with and without a secondary diagnosis of psoriasis. Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 database to search for hospitalizations of interest using International Classification of Diseases, 10th Revision codes. Multivariate logistic regression model was used to calculate the adjusted OR (AOR) of IBD being the principal diagnosis for hospitalizations with and without a secondary diagnosis of psoriasis. Multivariate logistic and linear regression analyses were used accordingly to compare outcomes of hospitalizations for IBD with and without secondary diagnosis of psoriasis. There were over 71 million discharges included in the combined 2016 and 2017 NIS database. Hospitalizations with a secondary diagnosis of psoriasis have an AOR of 2.66 (95% CI 2.40 to 2.96, p<0.0001) of IBD being the principal reason for hospitalization compared with hospitalizations without psoriasis as a secondary diagnosis. IBD hospitalizations with coexisting psoriasis have similar lengths of stay, hospital charges, need for blood transfusion, and similar likelihood of having a secondary discharge diagnosis of deep venous thrombosis, gastrointestinal bleed, sepsis, and acute kidney injury compared with those without coexisting psoriasis. Patients with coexisting psoriasis have almost three times the odds of being admitted for IBD compared with patients without psoriasis. Hospitalizations for IBD with coexisting psoriasis have similar hospital outcomes compared with those without coexisting psoriasis.

Although COVID is a predominantly respiratory disease, recent studies demonstrate variable and atypical presentations with multiorgan involvement. Neurological manifestations involving cranial nerves and the peripheral nervous system are more frequently being described. Although mechanisms are still under investigation, several studies demonstrate the neuroinvasive potential of COVID via angiotensin-converting enzyme 2 (ACE2) receptor interactions and postulate this mechanism to be the route of COVID central nervous system (CNS) infection. We present the rare case of a purely superior divisional palsy of the left oculomotor nerve in a 46-year-old woman with no medical history in the setting of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, confirmed by magnetic resonance imaging (MRI) findings of asymmetrical thickening and enhancement of the left oculomotor nerve. With this report, we hope to increase clinical suspicion for oculomotor nerve palsies as a manifestation of SARS-CoV-2 infection and also to inspire further studies investigating neurological manifestations of COVID.