Impact of Disease Activity and Inflammatory Bowel Disease Subtype on Quality of Life in Preconception and Pregnant Patients.

BACKGROUND: Inflammatory bowel disease (IBD) and pregnancy both impact health-related quality of life (HRQoL). However, little is known about IBD-related HRQoL around pregnancy. AIMS: To assess the trajectory and predictors of HRQoL in preconception and pregnant patients with Crohn's disease (CD) and ulcerative colitis (UC). METHODS: Preconception and pregnant patients with IBD were followed prospectively from preconception to twelve months postpartum at a tertiary referral centre. Participants completed the Short IBD Questionnaire (SIBDQ) and were assessed for clinical disease activity (modified Harvey Bradshaw Index or partial Mayo score) and objective disease activity (C-reactive protein [CRP], fecal calprotectin [FCP]). RESULTS: A total of 61 patients with IBD (25 CD, 36 UC) were included. During preconception, patients with UC had higher SIBDQ bowel and social sub-scores than those with CD, but this reversed during postpartum. Patients with CD but not UC developed a significant, sustained improvement in SIBDQ upon becoming pregnant, which persisted into 12 months postpartum. In a multivariable linear regression model, clinical disease activity negatively predicted SIBDQ at every pregnancy timepoint and up to 12 months postpartum. SIBDQ was significantly lower in patients with CRP ≥ 8.0 mg/L during trimester 1 (T1), but not later in pregnancy. SIBDQ bowel sub-scores were significantly lower in patients with FCP ≥ 250 mg/kg at T2, T3, and 6 months postpartum. CONCLUSIONS: Clinical disease activity is a consistent negative predictor of HRQoL from conception to 12 months postpartum. Patients with UC experience better preconception HRQoL but suffer worse postpartum HRQoL than those with CD.

Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images.

Endoscopic evaluation to reliably grade disease activity, detect complications including cancer and verification of mucosal healing are paramount in the care of patients with ulcerative colitis (UC); but this evaluation is hampered by substantial intra- and interobserver variability. Recently, artificial intelligence methodologies have been proposed to facilitate more objective, reproducible endoscopic assessment. In a first step, we compared how well several deep learning convolutional neural network architectures (CNNs) applied to a diverse subset of 8000 labeled endoscopic still images derived from HyperKvasir, the largest multi-class image and video dataset from the gastrointestinal tract available today. The HyperKvasir dataset includes 110,079 images and 374 videos and could (1) accurately distinguish UC from non-UC pathologies, and (2) inform the Mayo score of endoscopic disease severity. We grouped 851 UC images labeled with a Mayo score of 0-3, into an inactive/mild (236) and moderate/severe (604) dichotomy. Weights were initialized with ImageNet, and Grid Search was used to identify the best hyperparameters using fivefold cross-validation. The best accuracy (87.50%) and Area Under the Curve (AUC) (0.90) was achieved using the DenseNet121 architecture, compared to 72.02% and 0.50 by predicting the majority class ('no skill' model). Finally, we used Gradient-weighted Class Activation Maps (Grad-CAM) to improve visual interpretation of the model and take an explainable artificial intelligence approach (XAI).

Pregnancy-Related Beliefs and Concerns of Inflammatory Bowel Disease Patients Modified After Accessing e-Health Portal.

OBJECTIVE: Poor inflammatory bowel disease (IBD)-specific reproductive knowledge is associated with concerns and medication noncompliance. Having shown an educational portal can improve knowledge, we evaluated its effectiveness for addressing IBD patients' reproductive and medication concerns. METHODS: Adult IBD participants (aged 18 to 45 years) were invited to access an e-health portal providing information on heritability, fertility, surgery, pregnancy outcomes, delivery, postpartum, and breastfeeding in the context of IBD and IBD medications. At pre-, post-, and 6+-month postintervention, participants completed a questionnaire on IBD-specific pregnancy concerns, medication concerns from the Beliefs About Medicines Questionnaire (BMQ), and medication adherence via the Medication Adherence Rating Scale (MARS). The Wilcoxon signed-rank test was used to compare median differences between scores (95% confidence). RESULTS: Demographics for 78 (70.3%) participants completing postintervention questionnaires: median age 29.3 (interquartile range: 25.6 to 32.9) years; 54 (69.2%) Crohn's disease; 21 (26.9%) ulcerative colitis; 63 (80.3%) females, 5 (7.9%) pregnant; and 19 (30.2%) previously pregnant. Postintervention, the median number of reproductive concerns decreased from 3 to 1, and remained stable 6+ months later (P < 0.001*). The median BMQ score decreased from 28 to 25, and remained stable 6+ months later (P = 0.032*). Participants adherent to medications increased from 82.4% to 87.8% postintervention (P = 0.099). CONCLUSION: Using an e-health portal may potentially reduce IBD-specific reproductive and medications concerns. An e-health portal is feasible as one component of managing IBD patient's reproductive and medication concerns during preconception and pregnancy.