Purpose of review: Computing advances over the decades have catalyzed the pervasive integration of digital technology in the medical industry, now followed by similar applications for clinical nutrition. This review discusses the implementation of such technologies for nutrition, ranging from the use of mobile apps and wearable technologies to the development of decision support tools for parenteral nutrition and use of telehealth for remote assessment of nutrition. Recent findings: Mobile applications and wearable technologies have provided opportunities for real-time collection of granular nutrition-related data. Machine learning has allowed for more complex analyses of the increasing volume of data collected. The combination of these tools has also translated into practical clinical applications, such as decision support tools, risk prediction, and diet optimization. Summary: The state of digital technology for clinical nutrition is still young, although there is much promise for growth and disruption in the future.

The complex role of the gut microbiome in the pathogenesis of gastrointestinal (GI) disorders is an emerging area of research, and there is considerable interest in understanding how diet can alter the composition and function of the microbiome. Prebiotics and probiotics have been shown to beneficially modulate the gut microbiome, which underlies their potential for benefit in GI conditions. Formulating specific recommendations for the public regarding these dietary supplements has been difficult due to the significant heterogeneity between strains, doses, and duration of treatment investigated across studies, as well as safety concerns with administering live organisms. This review aims to summarize the existing evidence for the use of prebiotics and probiotics in various GI disorders, paying special attention to strain-specific effects that emerged and any adverse effects noted.

Patients with inflammatory bowel disease (IBD) alter their dietary behaviors to reduce disease-related symptoms, avoid feared food triggers, and control inflammation. This study aimed to estimate the prevalence of avoidant/restrictive food intake disorder (ARFID), evaluate risk factors, and examine the association with risk of malnutrition in patients with IBD. This cross-sectional study recruited adult patients with IBD from an ambulatory clinic. ARFID risk was measured using the Nine-Item ARFID Screen. Nutritional risk was measured with the Patient Generated-Subjective Global Assessment. Logistic regression models were used to evaluate the association between clinical characteristics and a positive ARFID risk screen. Patient demographics, disease characteristics, and medical history were abstracted from medical records. Of the 161 participants (Crohn's disease, 45.3%; ulcerative colitis, 51.6%; IBD-unclassified, 3.1%), 28 (17%) had a positive ARFID risk score (≥24). Most participants (92%) reported avoiding 1 or more foods while having active symptoms, and 74% continued to avoid 1 or more foods even in the absence of symptoms. Active symptoms (odds ratio, 5.35; 95% confidence interval, 1.91-15.01) and inflammation (odds ratio, 3.31; 95% confidence interval, 1.06-10.29) were significantly associated with positive ARFID risk. Patients with a positive ARFID risk screen were significantly more likely to be at risk for malnutrition (60.7% vs 15.8%; P < .01). Avoidant eating behaviors are common in IBD patients, even when in clinical remission. Patients who exhibit active symptoms and/or inflammation should be screened for ARFID risk, with referrals to registered dietitians to help monitor and address disordered eating behaviors and malnutrition risk.