Food authentication is a growing concern with rising complexities of the food supply network, with fish being an easy target of food fraud. In this regard, NIR spectroscopy has been used as an efficient tool for food authentication. This article reviews the latest research advances on NIR based fish authentication. The process from sampling/sample preparation to data analysis has been covered. Special attention was given to NIR spectra pre-processing and its unsupervised and supervised analysis. Sampling is an important aspect of traceability study and samples chosen ought to be a true representative of the population. NIR spectra acquired is often laden with overlapping bands, scattering and highly multicollinear. It needs adequate pre-processing to remove all undesirable features. The pre-processing technique can make or break a model and thus need a trial-and-error approach to find the best fit. As for spectral analysis and modelling, multicollinear nature of NIR spectra demands unsupervised analysis (PCA) to compact the features before application of supervised multivariate techniques such as LDA, PLS-DA, QDA etc. Machine learning approach of modelling has shown promising result in food authentication modelling and negates the need for unsupervised analysis before modelling.

Background: One-day low-residue diet (LRD) is recommended before colonoscopy, but only three single-center trials compared the 1-day versus 3-day LRD. The aim of this multicenter study was to compare the impact of a 3-day versus 1-day LRD on its ability to adequately and successfully prepare the bowel of outpatients that require a colonoscopy. The outpatients’ tolerance and adherence to the LRD were also considered. Methods: Consecutive outpatients were randomized to 1-day versus 3-day LRD at three open-access endoscopy units. The primary endpoint consisted of the proportion of patients with a satisfactory degree of bowel cleanliness (Score 2–3 on the Boston Bowel Preparation Scale [BBPS] in each segment). Secondary endpoints were patients’ tolerance and adherence to the prescribed diet evaluated by a standardized questionnaire. Results: 289 patients were included in the study (1-day LRD arm = 143, 3-day LRD arm = 146). BBPS ≥2 was not significantly different in the two dietary regimens in any of the three colonic segments (71% vs. 72%, p = 0.9). The percentage of patients with incomplete preparation was similar in the two arms (9% vs. 9%; p = 1.0). No significant differences were found among colonoscopy findings in terms of abnormalities (81% vs. 84%, p = 0.8). Both groups scored similarly in overall tolerance to LRD (48% vs. 49%, p = 1.0) and also in whether they would have adopted a different dietary regimen (p = 0.3). Conclusion: Our multicenter randomized study confirmed that optimal bowel cleansing is reached through a 1-day LRD.

Currently, no data are available on COVID-19 pandemic perception in patients with achalasia. We evaluated how the COVID-19 lockdown was perceived by these patients and its impact on their upper gastrointestinal symptoms. COVID-19 perception was assessed in 64 patients with achalasia using a previously published survey. Upper gastrointestinal symptoms were assessed using a standardized questionnaire and the results were compared to those obtained before the COVID-19 pandemic. All questionnaires were administered by telephone/video calls during the second Italian lockdown. Fifty-one patients (79.7%) responded to the survey. For the question “On a 0-100 scale, how worried are you about the COVID-19 pandemic?” the mean score was 72.8±27.1, and 64.7% of patients with achalasia gave a score >60 on a visual analog scale of 0-100. In addition, those who considered themselves more vulnerable or anxious about contracting the infection than the general population, showed a significantly higher score for COVID-19 fear compared to those who felt less vulnerable or anxious (79.7±27.6 vs. 62.5±23.6, P=0.027; 80.9±19.6 vs. 57.1±33.1, P=0.002, respectively). The selected patients (n=29), who had not undergone any change in medical/surgical treatment for at least one year before the COVID-19 pandemic, had a significant worsening of the intensity-frequency score of regurgitation, heartburn, odynophagia, water brash, and epigastric burning during the lockdown (P<0.05). Finally, 75% of the patients were very interested in using Telemedicine. The COVID-19 lockdown had a significant impact on the psychological aspects and upper gastrointestinal symptoms of patients with achalasia. Telemedicine might represent a follow-up strategy.

Background: Recent studies have evaluated the upper esophageal sphincter (UES) with high-resolution manometry (HRM) in some esophageal diseases, but not eosinophilic esophagitis (EoE). The aim of our study was to evaluate the function of the UES across EoE, gastroesophageal reflux disease (GERD), functional dysphagia (FD), and the relationship with esophageal symptoms, esophageal body contraction, and esophagogastric junction (EGJ) metrics. Methods: HRM was performed on 30 EoE, 18 GERD, and 29 FD patients according to the Chicago Classification 3.0. The study data were exported to the online analysis platform Swallow Gateway. The UES was assessed in terms of UES Resting Pressure (UES-RP), UES Basal Pressure (UES-BP), UES Integrated Relaxation Pressure (UES-IRP), UES Relaxation Time (UES-RT), Basal UES Contractile Integral (Basal UES-CI), Post-Deglutitive UES Contractile Integral (Post-Deglutitive UES-CI), and Proximal Contractile Integral (PCI). Results: ANOVA analysis showed significantly higher values of Post-Deglutitive UES-CI in EoE patients compared with FD patients (p = 0.001). Basal UES-CI and UES-RP showed significantly higher values in EoE (p = 0.002, p = 0.038) and GERD (p < 0.001, p = 0.001) patients compared with FD patients. Correlations between LES-CI and Post-Deglutitive UES-CI, Basal UES-CI, and UES-RP (p ≤ 0.001, p = 0.027, p = 0.017, respectively), and between LES-BP and Post-Deglutitive UES-CI (p = 0.019), independent of diagnosis, were shown. No correlations have been demonstrated between the UES, EGJ metrics, and esophageal symptoms. Conclusions: Some differences in UES metrics in the three different diseases were found. Further studies are needed to confirm the results of our pilot study and possible applications in clinical practice.