Balloon-assisted enteroscopy-based endoscopic stricturotomy for deep small bowel strictures from Crohn's disease: First cohort study of a novel approach.

BACKGROUND: There is little data on the role of endoscopic stricturotomy (ES) in treating deep small bowel strictures. We aimed to investigate the efficacy and safety of balloon-assisted enteroscopy-based ES (BAE-based ES) for deep small bowel strictures associated with Crohn's disease (CD). METHODS: This multicentre retrospective cohort study included consecutive patients with CD-associated deep small bowel strictures treated with BAE-based ES between 2017 and 2023. The outcomes included technical success, clinical improvement, surgery-free rate, reintervention-free rate, and adverse events. RESULTS: Twenty-eight patients with CD underwent 58 BAE-based ES procedures for non-passable deep small bowel strictures, with a median follow-up time of 519.5 days (interquartile range, 306-728 days). Fifty-six (96.0%) procedures were technically successful in 26 (92.9%) patients. Twenty patients (71.4%) showed clinical improvement at week 8. The cumulative surgery-free rate at 1 year was 74.8% (95% confidence interval [CI], 60.3-92.9%). A higher body mass index was associated with a decreased need for surgery (hazard ratio = 0.084, 95% CI, 0.016-0.45, P = 0.0036). Postprocedural adverse events (bleeding and perforation) requiring reintervention occurred in 3.4% of the procedures. CONCLUSIONS: The novel BAE-based ES provides high technical success, favorable efficacy, and safety in CD-associated deep small bowel strictures, which may provide an alternative for endoscopic balloon dilation and surgery.

Role of Human Body Composition Analysis and Malnutrition Risk Questionnaire in the Assessment of Nutritional Status of Patients With Initially Diagnosed Crohn's Disease.

Objective: This study was carried out to investigate the role and necessity of human body composition analysis in assessing the nutritional status of initially diagnosed Crohn's disease (CD) patients. Methods: A total of 47 initially diagnosed CD patients were recruited. The skeletal muscle mass index (SMI), fat-free mass index (FFMI), body fat mass, body fat percent, visceral fat area (VFA), and body cell mass were determined with the Biospace Inbody S10 composition analyzer. Results: In 47 patients with initially diagnosed CD, SMI could determine the muscular mass reduction that could not be determined by the body mass index (BMI) (35.3%), albumin (ALB) (65.6%), nutrition risk screening (NRS)2002 (25.0%), and Patient-Generated Subjective Global Assessment (PG-SGA) (55.6%). FFMI could determine the malnutrition that could not be determined by the BMI (58.8%), albumin (90.6%), NRS2002 (50.0%), and PG-SGA (55.6%). VFA in the fistulizing CD patients was significantly higher than in the stricturing and non-fistulizing, non-stricturing patients (P < 0.05). SMI and BMI had the same performance (P = 1.000) and general consistence (Kappa = 0.487, P = 0.001) in the assessment of malnutrition; SMI and ALB had different performance (P < 0.001) and inconsistence was noted (Kappa = 0.069, P = 0.489) in the assessment of malnutrition; the results of the nutrition assessment were different between SMI and NRS2002 (P = 0.002), and inconsistence was observed (Kappa = 0.190, P = 0.071). SMI and PG-SGA had the same performance in the assessment of nutrition (P = 0.143), but there was inconsistence (Kappa = 0.099, P = 0.464). FFMI and BMI had general consistence in the assessment of malnutrition (Kappa = 0.472, P < 0.001), but the positive rate determined by FFMI (85.1%) was markedly higher than that by BMI (63.8%) (P = 0.002). FFMI and ALB had different performance in the assessment of malnutrition (P < 0.001) and there was inconsistence (Kappa = -0.008, P = 0.877). FFMI and NRS2002 had the same performance in the assessment of malnutrition (P = 0.453), but the consistence was poor (Kappa = 0.286, P = 0.039). The results determined by SMI and PG-SGA were consistent (P = 0.727), but the consistence was poor (Kappa = 0.399, P = 0.006). Conclusion: Human body composition analysis can identify the patients with muscular mass reduction that cannot be identified by commonly used nutrition assessment scales/parameters. Thus, it is helpful for the assessment of disease severity and also important for the nutrition assessment in CD patients.