Celiac Disease Presenting in a Community-Based Gastroenterology Practice: Obesity and Bone Disease Are Common.

BACKGROUND: The description of the clinical presentation of celiac disease (CeD) has usually come from studies at referral centers. Data about CeD presentation in the community are sparse. AIMS: We aim to describe the clinical presentation of patients with biopsy-proven CeD at a community-based adult gastroenterology practice and compare it to a referral center. METHODS: We performed a retrospective study of two cohorts of patients diagnosed with CeD between 2000-2007 (n = 117) and 2013-2016 (n = 91) in a community practice, and a third cohort (n = 188) diagnosed between 2000 and 2007 in a tertiary referral center. The clinical presentation, body mass index, tissue-transglutaminase levels, DEXA scan, vitamin D levels, and vaccine recommendations were assessed. RESULTS: Celiac disease presentation changed over time in the two community cohorts. Recently, fewer patients presented with diarrhea and anemia, but constipation and neurologic symptoms were more common. The most recent cohort had a higher proportion of patients who were overweight or obese than the first cohort. However, the body mass index in both community cohorts was higher than in the tertiary referral center. The frequency of osteopenia and osteoporosis was high in both community cohorts. The tertiary referral center patients were younger, presented with a higher proportion of diarrhea and a lower body mass index. CONCLUSIONS: The clinical presentation of CeD differs between the community setting and a tertiary referral center. Patients with CeD presenting to the community setting tended to be older, overweight, and to have a high proportion of mineral bone disease.

Predictive Model for Positive Video Capsule Endoscopy in Iron Deficiency Anemia.

BACKGROUND AND AIMS: Bleeding from the gastrointestinal tract can contribute to the development of iron deficiency anemia (IDA) among individuals without another obvious source of bleeding. In order to identify patients most likely to benefit from examination of the small bowel, our aim was to create a risk score for positive video capsule endoscopy (VCE) in IDA utilizing a multicenter collection of studies. METHODS: We performed a retrospective multicenter study utilizing VCE studies performed for an indication of IDA between 1/1/2005 and 7/31/2018. VCE findings were graded based on the P0-P2 grading system. The primary outcome of interest was a positive (P2) VCE. Data were analyzed with Student's t test for continuous variables and the Fisher's exact test for categorical variables. Logistic regression was used to identify independent associations with positive VCE. RESULTS: In total, 765 VCE procedures were included with 355 (46.5%) male subjects and a median age of 63.2 (SD 15.3) years. One hundred ninety studies (24.8%) were positive (P2) for small bowel bleeding. Four variables associated with positive VCE which were incorporated into a point scoring system: (+) 1 for age ≥ 66 years, active smoking and cardiac arrythmia and (-) 1 for preceding hemoglobin level ≥ 8.5. The risk probabilities for positive VCE-assigned scores - 1, 0, 1, and 2 + were 12.3% (95% CI 7.3-17.3%), 20% (14.9-25.1%), 34.8% (28.6-41%), and 39% (30-47.8%). CONCLUSION: In order to improve the diagnostic yield of capsule examinations, risk factors should be applied to clinical decision-making. We created a risk score for positive VCE in IDA, including the risk factors of age, smoking, history of cardiac arrythmia, and preceding hemoglobin level.

Rhode Island gastroenterology video capsule endoscopy data set.

Complete endoscopic evaluation of the small bowel is challenging due to its length and anatomy. Although several advances have been made to achieve diagnostic and therapeutic goals, including double-balloon enteroscopy, single-balloon enteroscopy, and spiral enteroscopy, video capsule endoscopy (VCE) remains the least invasive tool for complete visualization of the small bowel and is the preferred method for initial diagnostic evaluation. At present, interpretation of VCE data requires manual annotation of landmarks and abnormalities in recorded videos, which can be time consuming. Computer-assisted diagnostic systems using artificial intelligence may help to optimize VCE reading efficiency by reducing the need for manual annotation. Here we present a large VCE data set compiled from studies performed at two United States hospitals in Providence, Rhode Island, including 424 VCE studies and 5,247,588 total labeled images. In conjunction with existing published data sets, these files may aid in the development of algorithms to further improve VCE.