Background: Olmesartan, an antihypertensive drug, may be associated with a severe “sprue-like enteropathy”. Objectives: To report a case of Olmesartan enteropathy demonstrated by video capsule endoscopy distally from the second duodenum along with the whole small bowel before and after drug withdrawal. Case Presentation: A 81-years-old man was referred for asthenia, chronic watery diarrhea and anasarca (ascites, pleural effusion and edemas of superior and inferior limb). The only comorbidity was hypertension treated with Olmesartan. All causes of infective and inflammatory chronic diarrhea were investigated and excluded. Upper endoscopy was normal; histological examination of the second portion of the duodenum showed moderate and patchy infiltration of lymphocytes at mucosal and intra-epithelial level with intermittent partial villous atrophy. The possibility of adverse drug reaction, estimated by Naranjo scale, showed a score of 7, indicating a strong probability. Olmesartan was then withdrawn. However, because of severe clinical general condition, we preferred to corroborate our diagnostic work-up by a non-invasive investigation, i.e. video capsule endoscopy, which showed jejunal and ileal mucosal alterations (mosaic pattern, diffuse hyperemia, severe edema, consequent apparent reduced lumen, diffuse thickening of intestinal folds, multiple erosions, patchy lymphangectasia). After 14 days, the resolution of anasarcatic state and hydroelectrolytic imbalances was observed. Nine months later, small-bowel video-capsule demonstrated mild mucosal hyperaemia and mosaic pattern. Conclusions: Our case could give new insights in the field of Olmesartan associated enteropathy by highlighting the possibility of distally main lesion location and, therefore, the usefulness of video capsule endoscopy in the presence of doubtful diagnostic features.

A 80-year-old woman underwent vulvar melanoma resection and segmental lung resection for pulmonary metastasis. Immunotherapy with Nivolumab was performed. One year later, the patient was admitted for gastrointestinal (GI) recurrent bleeding and severe anemia. Esophagoastroduodenoscopy and colonoscopy did not show any abnormality, while videocapsule endoscopy (VCE) revealed an irregular and exophytic whitish area with a “coal-black” central depression. Small bowel resection was performed and histological examination revealed S100 protein strongly positive melanoma metastasis. The patient died six months later from disease progression. A “coal-black” appearance of intestinal metastatic melanoma has been described only twice before this report. In one case the patient had been treated by immunotherapy with interferon A and dendritic cell-based vaccination. In our patient, it is presumable that the picture we observed was a consequence of Nivolumab treatment inducing the disappearance of melanocytes in the area surrounding the metastasis with the onset of the central coal-black lesion encircled by whitish tissue. This picture should be emblematic of intestinal metastatic melanoma in subjects treated with immunotherapy showing occult/obscure bleeding.

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Background and study aims Adenoma detection rate (ADR) is a well-accepted quality indicator of screening colonoscopy. In recent years, the added value of artificial intelligence (AI) has been demonstrated in terms of ADR and adenoma miss rate (AMR). To date, there are no studies evaluating the impact of AI on the performance of trainee endoscopists (TEs). This study aimed to assess whether AI might eliminate any difference in ADR or AMR between TEs and experienced endoscopists (EEs). Patients and methods We performed a prospective observational study in 45 subjects referred for screening colonoscopy. A same-day tandem examination was carried out for each patient by a TE with the AI assistance and subsequently by an EE unaware of the lesions detected by the TE. Besides ADR and AMR, we also calculated for each subgroup of endoscopists the adenoma per colonoscopy (APC), polyp detection rate (PDR), polyp per colonoscopy (PPC) and polyp miss rate (PMR). Subgroup analyses according to size, morphology, and site were also performed. Results ADR, APC, PDR, and PPC of AI-supported TEs were 38 %, 0.93, 62 %, 1.93, respectively. The corresponding parameters for EEs were 40 %, 1.07, 58 %, 2.22. No significant difference was found for each analysis between the two groups (P > 0.05). AMR and PMR for AI-assisted TEs were 12.5 % and 13 %, respectively. Sub-analyses did not show any significant difference (P > 0.05) between the two categories of operators. Conclusions In this single-center prospective study, the possible impact of AI on endoscopist quality training was demonstrated. In the future, this could result in better efficacy of screening colonoscopy by reducing the incidence of interval or missed cancers.

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