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INTRODUCTION: Both artificial intelligence (AI) and distal attachment devices have been shown to improve adenoma detection rate and reduce miss rate during colonoscopy. We studied the combined effect of Endocuff and AI on enhancing detection rates of various colonic lesions. METHODS: This was a 3-arm prospective randomized colonoscopy study involving patients aged 40 years or older. Participants were randomly assigned in a 1:1:1 ratio to undergo Endocuff with AI, AI alone, or standard high-definition (HD) colonoscopy. The primary outcome was adenoma detection rate (ADR) between the Endocuff-AI and AI groups while secondary outcomes included detection rates of polyp (PDR), sessile serrated lesion (sessile detection rate [SDR]), and advanced adenoma (advanced adenoma detection rate) between the 2 groups. RESULTS: A total of 682 patients were included (mean age 65.4 years, 52.3% male), with 53.7% undergoing diagnostic colonoscopy. The ADR for the Endocuff-AI, AI, and HD groups was 58.7%, 53.8%, and 46.3%, respectively, while the corresponding PDR was 77.0%, 74.0%, and 61.2%. A significant increase in ADR, PDR, and SDR was observed between the Endocuff-AI and AI groups (ADR difference: 4.9%, 95% CI: 1.4%-8.2%, P = 0.03; PDR difference: 3.0%, 95% CI: 0.4%-5.8%, P = 0.04; SDR difference: 6.4%, 95% CI: 3.4%-9.7%, P < 0.01). Both Endocuff-AI and AI groups had a higher ADR, PDR, SDR, and advanced adenoma detection rate than the HD group (all P < 0.01). DISCUSSION: Endocuff in combination with AI further improves various colonic lesion detection rates when compared with AI alone.
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Adenoma , Inteligencia Artificial , Colonoscopía , Neoplasias Colorrectales , Humanos , Colonoscopía/métodos , Masculino , Femenino , Adenoma/diagnóstico , Adenoma/diagnóstico por imagen , Anciano , Neoplasias Colorrectales/diagnóstico , Neoplasias Colorrectales/diagnóstico por imagen , Persona de Mediana Edad , Estudios Prospectivos , Pólipos del Colon/diagnóstico , Pólipos del Colon/diagnóstico por imagen , AdultoRESUMEN
BACKGROUND AND AIMS: Blue-light imaging (BLI) is a new image-enhanced endoscopy with a wavelength filter similar to narrow-band imaging (NBI). We compared the 2 with white-light imaging (WLI) on proximal colonic lesion detection and miss rates. METHODS: In this 3-arm prospective randomized study with tandem examination of the proximal colon, we enrolled patients aged ≥40 years. Eligible patients were randomized in 1:1:1 ratio to receive BLI, NBI, or WLI during the first withdrawal from the proximal colon. The second withdrawal was performed using WLI in all patients. Primary outcomes were proximal polyp (pPDRs) and adenoma (pADRs) detection rates. Secondary outcomes were miss rates of proximal lesions found on tandem examination. RESULTS: Of 901 patients included (mean age, 64.7 years; 52.9% men), 48.1% underwent colonoscopy for screening or surveillance. The corresponding pPDRs of the BLI, NBI, and WLI groups were 45.8%, 41.6, and 36.6%, whereas the corresponding pADRs were 36.6%, 33.8%, and 28.3%. There was a significant difference in pPDR and pADR between BLI and WLI groups (difference, 9.2% [95% confidence interval {CI}, 3.3-16.9] and 8.3% [95% CI, 2.7-15.9]) and between NBI and WLI groups (difference, 5.0% [95% CI, 1.4-12.9] and 5.6% [95% CI, 2.1-13.3]). Proximal adenoma miss rates were significantly lower with BLI (19.4%) than with WLI (27.4%; difference, -8.0%; 95% CI, -15.8 to -.1) but not between NBI (27.2%) and WLI. CONCLUSIONS: Both BLI and NBI were superior to WLI on detecting proximal colonic lesions, but only BLI had lower proximal adenoma miss rates than WLI. (Clinical trial registration number: NCT03696992.).
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OBJECTIVE: With the rapid increase in the incidence of inflammatory bowel disease (IBD) in Asia, the natural course of the early phase of disease in these patients remains poorly defined. This study aimed to determined the incidence and characteristics of infection-related hospitalization in the first year in patients newly diagnosed with IBD in Hong Kong SAR, China. METHODS: Patients newly diagnosed with IBD and enrolled in the territory-wide Hong Kong IBD Registry were identified. Details of their hospitalization within the first 12 months after diagnosis were retrieved and analyzed. RESULTS: Altogether 433 newly diagnosed IBD patients were enrolled, including 188 with Crohn's disease (CD), 230 with ulcerative colitis (UC) and 15 with IBD-unclassified (IBD-U). Among them, 110 (25.4%) had at least one unscheduled hospitalization in the first year and 34 (7.9%) had infection-related hospitalization, leading to 43 (23.4%) of total hospitalizations. Gastrointestinal tract (30.2%), respiratory tract (34.9%) and skin and soft tissues (11.6%) were the most common sites of infection. Bacterial and viral infections accounted for 46.7% and 20.8% of hospitalizations for infection, respectively. Common identified pathogens included Clostridium difficile (16.3%) and Cytomegalovirus (11.6%). Multivariate analysis found that patient's age (odds ratio [OR] 1.03, 95% confidence interval [CI] 1.01-1.06) and the presence of comorbidity (OR 2.32, 95% CI 1.05-5.13) were significantly associated with hospitalization from infection in IBD patients. CONCLUSIONS: Infection-related hospitalizations were found in 7.9% of newly diagnosed IBD patients within the first year after diagnosis in Hong Kong, which accounted for about one-quarter of all unscheduled hospitalizations. Elder patients with concurrent illnesses were at higher risk.