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Eosinophilic oesophagitis (EoE) may lead to severe complications if not promptly recognised.To assess the diagnostic delay in patients with EoE and to explore its risk factors.EoE patients followed-up at eight clinics were included via retrospective chart review. Diagnostic delay was estimated as the time lapse occurring between the appearance of the first likely symptoms indicative of EoE and the final diagnosis. Patient-dependent and physician-dependent diagnostic delays were assessed. Multivariable regression models were computed.261 patients with EoE (mean age 34±14 years; M:F ratio=3:1) were included. The median overall diagnostic delay was 36 months (IQR 12-88), while patient- and physician-dependent diagnostic delays were 18 months (IQR 5-49) and 6 months (IQR 1-24). Patient-dependent delay was greater compared to physician-dependent delay (95% CI 5.1-19.3, p0.001). A previous misdiagnosis was formulated in 109 cases (41.8%; gastro-oesophageal reflux disease in 67 patients, 25.7%). The variables significantly associated with greater overall diagnostic delay were being a non-smoker,1 episode of food impaction, previous endoscopy with no biopsies, regurgitation, and ≥2 assessing physicians. Being single was significantly associated with lower overall and patient-dependent diagnostic delay.EoE is burdened by substantial diagnostic delay, depending on both patient-related and physician-related factors.

The aim of this study was to identify a method for staging hepatic fibrosis using a non-invasive, rapid and inexpensive technique based on ultrasound morphologic hepatic features. A total of 215 patients with different liver diseases underwent B-mode (2-D brightness mode) ultrasonography, vibration-controlled transient elastography, 2-D shear wave elastography and measurement of the controlled attenuation parameter with transient elastography. B-Mode images of the anterior margin of the left lobe were obtained and processed with automatic Genoa Line Quantification (GLQ) software based on a neural network for staging liver fibrosis. The accuracy of GLQ was 90.6% during model training and 78.9% in 38 different patients with concordant elastometric measures. Receiver operating characteristic curve analysis of GLQ performance using vibration-controlled transient elastography as a reference yielded areas under the curves of 0.851 for F ≥ F1, 0.793 for F ≥ F2, 0.784 for F ≥ F3 and 0.789 for F ≥ F4. GLQ has the potential to be a rapid, easy-to-perform and tolerable method in the staging of liver fibrosis.