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Background Non-alcoholic fatty liver disease (NAFLD) is highly prevalent worldwide. Identifying high-risk patients is critical to best utilize limited health care resources. We established a community-based care pathway using 2D ultrasound shear wave elastography (SWE) to identify high risk patients with NAFLD. Our objective was to assess the cost-effectiveness of various non-invasive strategies to correctly identify high-risk patients. Methods A decision-analytic model was created using a payer’s perspective for a hypothetical patient with NAFLD. FIB-4 [≥1.3], NAFLD fibrosis score (NFS) [≥-1.455], SWE [≥8 kPa], transient elastography (TE) [≥8 kPa], and sequential strategies with FIB-4 or NFS followed by either SWE or TE were compared to identify patients with either significant (≥F2) or advanced fibrosis (≥F3). Model inputs were obtained from local data and published literature. The cost/correct diagnosis of advanced NAFLD was obtained and univariate sensitivity analysis was performed. Results For ≥F2 fibrosis, FIB-4/SWE cost $148.75/correct diagnosis while SWE cost $276.42/correct diagnosis, identifying 84% of patients correctly. For ≥F3 fibrosis, using FIB-4/SWE correctly identified 92% of diagnoses and dominated all other strategies. The ranking of strategies was unchanged when stratified by normal or abnormal ALT. For ≥F3 fibrosis, the cost/correct diagnosis was less in the normal ALT group. Conclusions SWE based strategies were the most cost effective for diagnosing ≥F2 fibrosis. For ≥F3 fibrosis, FIB-4 followed by SWE was the most effective and least costly strategy. Further evaluation of the timing of repeating non-invasive strategies are required to enhance the cost-effective management of NAFLD.

Background A subset of patients with ulcerative colitis (UC) will require colectomy within a few years of diagnosis. Thus, our aim was to determine the clinical predictors of early colectomy among patients with UC who are hospitalized with an acute flare. Methods Using population-based surveillance (1996-2009), all adults (≥18 years) hospitalized for UC within 3 years of diagnosis (n = 489) were identified. The primary outcome was a colectomy within 3 years of diagnosis. All medical charts were reviewed. A logistic regression model evaluated clinical variables that predicted colectomy within 3 years of diagnosis, and adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were reported. Results Among patients admitted to hospital with UC within 3 years of diagnosis, 57.7% underwent colectomy, with the odds of colectomy decreasing by 12% per year. Early colectomy was more likely among patients aged 35 to 64 years versus 18 to 34 years (OR 2.18 [95% CI, 1.27-3.74]), males (OR 2.03 [95% CI, 1.24-3.34]), those with pancolitis (OR 5.38 [95% CI, 3.20-9.06]), and living in rural areas (OR 2.81 [95% CI, 1.49-5.29]). Prescription of infliximab before hospitalization increased odds of surgery (OR 5.12 [95% CI, 1.36-19.30]). Conclusions Patients hospitalized for UC have a high risk of early colectomy. This is particularly true in middle-aged men, those living in rural areas, and those without response to infliximab.

Malnutrition is an important predictor of morbidity and mortality among cirrhotic patients. Our objectives were to assess protein-calorie malnutrition (PCM) in cirrhotic pre-liver transplant patients and to study the correlation between subjective global assessment (SGA) and other objective measures of malnutrition.We recruited pre-liver transplant adult patients at our center between October 2012 and Oct 2015. Nutrition status was assessed via SGA. PCM was assessed by comparing recommended to actual protein and calorie intake. SGA was correlated with body mass index (BMI), dry BMI, handgrip strength by calibrated dynometer (HGS), and mid-arm circumference (MAC). We used non-parametric statistical methods in our analysis.Seventy patients were included in this study. Majority were males (n = 46, 66%) with a median age of 58 years (IQR: 50-61). Moderate to severe malnutrition was prevalent in our cohort (SGA-A: n = 15 (21.4%), SGA-B: n = 30 (42.9%) and SGA-C: n = 25 (35.7%). There was a significant difference in the recommended calories consumed between SGA groups (A 98.5% vs. C 79.2%, P = 0.03). A similar trend was observed for the recommended protein consumed (A 85.4%, C 62.5%; P = 0.09). SGA correlated with BMI (A = 26.4, C = 22.4; P0.01), Dry BMI (A = 25.9, C = 20.4; P0.01), HGS (A = 67.0, C = 47.0 PSI; P = 0.03), and MAC (A = 29.5 cm, C = 22.0 cm; P0.01). HGS and MAC were strongly correlated (Spearman correlation 0.49, P0.01).Cirrhotic patients have significant protein-calorie malnutrition. Multiple malnutrition tools including BMI, dry BMI, HGS and MAC were precisely able to assess malnutrition.

While the notion of age of information (AoI) has recently emerged as an important concept for analyzing ultra-reliable low-latency communications (URLLC), the majority of the existing works have focused on the average AoI measure. However, an average AoI based design falls short in properly characterizing the performance of URLLC systems as it cannot account for extreme events that occur with very low probabilities. In contrast, in this paper, the main objective is to go beyond the traditional notion of average AoI by characterizing and optimizing a URLLC system while capturing the AoI tail distribution. In particular, the problem of vehicles’ power minimization while ensuring stringent latency and reliability constraints in terms of probabilistic AoI is studied. To this end, a novel and efficient mapping between both AoI and queue length distributions is proposed. Subsequently, extreme value theory (EVT) and Lyapunov optimization techniques are adopted to formulate and solve the problem. Simulation results shows a nearly two-fold improvement in terms of shortening the tail of the AoI distribution compared to a baseline whose design is based on the maximum queue length among vehicles, when the number of vehicular user equipment (VUE) pairs is 80. The results also show that this performance gain increases significantly as the number of VUE pairs increases.