Risk of alcoholic cirrhosis is determined by genetic and environmental factors. We aimed to investigate if climate has a causal effect on alcohol consumption and its weight on alcoholic cirrhosis. We collected extensive data from 193 sovereign countries as well as 50 states and 3,144 counties in the United States. Data sources included World Health Organization, World Meteorological Organization, and the Institute on Health Metrics and Evaluation. Climate parameters comprised Koppen-Geiger classification, average annual sunshine hours, and average annual temperature. Alcohol consumption data, pattern of drinking, health indicators, and alcohol-attributable fraction (AAF) of cirrhosis were obtained. The global cohort revealed an inverse correlation between mean average temperature and average annual sunshine hours with liters of annual alcohol consumption per capita (Spearman's rho −0.5 and −0.57, respectively). Moreover, the percentage of heavy episodic drinking and total drinkers among population inversely correlated with temperature −0.45 and −0.49 (P < 0.001) and sunshine hours −0.39 and −0. 57 (P < 0.001). Importantly, AAF was inversely correlated with temperature −0.45 (P < 0.001) and sunshine hours −0.6 (P < 0.001). At a global level, all included parameters in the univariable and multivariable analysis showed an association with liters of alcohol consumption and drinkers among population once adjusted by potential confounders. In the multivariate analysis, liters of alcohol consumption associated with AAF. In the United States, colder climates showed a positive correlation with the age-standardized prevalence of heavy and binge drinkers. Conclusion: These results suggest that colder climates may play a causal role on AAF mediated by alcohol consumption. (Hepatology
Optical coherence tomography (OCT) is used for diagnosis of esophageal diseases such as Barrett’s esophagus. Given the large volume of OCT data acquired, automated analysis is needed. Here we propose a bilateral connectivity-based neural network for in vivo human esophageal OCT layer segmentation. Our method, connectivity-based CE-Net (Bicon-CE), defines layer segmentation as a combination of pixel connectivity modeling and pixel-wise tissue classification. Bicon-CE outperformed other widely used neural networks and reduced common topological prediction issues in tissues from healthy patients and from patients with Barrett’s esophagus. This is the first end-to-end learning method developed for automatic segmentation of the epithelium in in vivo human esophageal OCT images.
INTRODUCTION:Despite societal recommendations supporting Barrett's esophagus (BE) screening, it is unknown what proportion of eligible patients is screened in primary care. We assessed the proportion of BE screening- eligible patients evaluated in the primary care setting receiving upper esophagogastroduodenoscopy (EGD) and identified factors associated with undergoing EGD.METHODS:This was a retrospective study of BE screening-eligible patients, as defined by the American College of Gastroenterology's BE guidelines, in a multipractice healthcare network consisting of 64 internal medicine practices and 94 family medicine (FM) practices. The proportion undergoing EGD, prevalence of BE and esophageal adenocarcinoma (EAC) in this group, and patient and provider factors associated with undergoing EGD were assessed. Multivariable logistic regression was performed to identify independent predictors of undergoing EGD.RESULTS:Of 1,127 screening-eligible patients, the mean age was 65.2 ± 8.6 years; 45% were obese; and 61% were smokers. Seventy-three percent were seeing FM; 94% were on proton pump inhibitors; and 44% took ≥1 gastroesophageal reflux disease (GERD) medication. Only 39% of patients (n = 436) had undergone EGD. The overall prevalence of BE or EAC was 9.9%. Of 39 (9%) referred for BE screening as the primary indication, BE/EAC prevalence was 35.1%. Factors associated with increased odds of having EGD were symptomatic GERD despite treatment (odds ratio [OR] 12.1, 95% confidence interval [CI] 9.1‐16.3), being on ≥1 GERD medication (OR 1.4, 95% CI 1.0‐1.9), and being an FM patient (OR 1.5, 95% CI 1.1‐2.1).DISCUSSION:In this large, primary care population, only 39% of screening-eligible patients underwent EGD. Most of the examinations were triggered by refractory symptoms rather than screening referrals, highlighting a need for improved dissemination and implementation of BE screening.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.