Inflammatory Bowel Disease Crohn39s Disease And Ulcerative Colitis

The goal of this clinical trial is to learn if modafinil can treat severe fatigue in adults aged 18 to 75 years with quiescent inflammatory bowel disease (IBD). The main questions it aims to answer are: Does modafinil reduce fatigue more effectively than placebo, as measured by the mean difference in section I of the IBD-F questionnaire at week 8? Is modafinil safe and well tolerated in patients with quiescent IBD and severe fatigue? Researchers will compare modafinil to placebo to see if modafinil improves fatigue outcomes. Participants will: attend one screening visit including assessment of disease activity, blood tests, stool testing, and an ECG; take modafinil or placebo for 8 weeks, starting at 100 mg daily with possible dose increases based on response and tolerability; complete online questionnaires at baseline, week 4, week 8, and week 12 about fatigue, quality of life, sleep, mood, and work productivity; be contacted regularly during the treatment period to discuss effect and side effects of the study medication; complete an online effort-based decision-making task at baseline and week 8.

Inflammatory bowel disease (IBD), including Crohn's disease (CD) and ulcerative colitis (UC), is a chronic immune-mediated disorder requiring long-term management. Clinically, IBD may involve recurrent intestinal inflammation, ulcer formation, and complications such as strictures and fistulas. The etiology of IBD is associated with immune dysregulation, gut microbiome imbalance, and genetic susceptibility. Its clinical manifestations are heterogeneous; early symptoms such as abdominal pain, diarrhea, weight loss, hematochezia, or anemia often resemble gastroenteritis, irritable bowel syndrome, or infectious enterocolitis, leading to misdiagnosis and delayed diagnosis. According to international studies, the interval between initial symptom onset and confirmed diagnosis can range from several months to years, during which untreated disease progression increases the risks of hospitalization, surgery, bowel strictures, and fistulizing complications, resulting in significant impacts on patient quality of life. This study adopts a retrospective design, analyzing our hospital's electronic medical record data from 2023 to 2025.The objective is to evaluate the performance and feasibility of an artificial intelligence (AI) model-developed and incorporating natural language processing (NLP) and phenotypic recognition algorithms-in supporting early identification and diagnosis of IBD. The model has been validated in multiple European healthcare systems and is capable of recognizing high-risk phenotypic clusters from large-scale structured and unstructured medical data. This study represents the first application of this AI technology in the Taiwanese IBD population. All data processing will occur within a de-identified and secure computing environment to ensure data privacy and information security. The study will compare AI-generated diagnostic suggestions derived from medical records with actual clinical diagnoses to assess consistency and accuracy. The model's performance across different clinical characteristics, disease severity levels, and stages of illness will also be examined. In addition, statistical metrics such as precision and recall will be used to generate PRC curves for determining the optimal diagnostic threshold. The outcomes of this study are expected to validate the potential of AI technology in facilitating early recognition, accelerating diagnosis, and supporting clinical decision-making for IBD. The findings will provide essential data for developing localized AI models for IBD, ultimately enhancing diagnostic efficiency, shortening the diagnostic timeline, and improving long-term patient outcomes and quality of life. Objective 1：To retrospectively analyze the clinical characteristics and diagnostic pathways of patients with IBD (CD/UC). Objective 2：To evaluate the performance of the AI model in identifying and providing diagnostic suggestions for high-risk IBD cases. Objective 3：To compare the accuracy and consistency between AI-generated diagnostic suggestions and actual clinical diagnoses.

The ALPCO Calprotectin CLIA is an in vitro diagnostic test intended to quantitatively measure concentrations of fecal calprotectin in human stool samples. Calprotectin is a protein biomarker of mucosal inflammation. Measurement of calprotectin can aid in the diagnosis of Inflammatory Bowel Diseases (IBD), specifically Crohn's Disease (CD) and Ulcerative Colitis (UC), as well as aid in the differentiation of IBD from Irritable Bowel Syndrome (IBS) when used in conjunction with other diagnostic testing and the total clinical picture. The goal of the study is to generate data to support positive and negative predictive value of the ALPCO Calprotectin assay in patients with signs and symptoms of IBS or IBD.

This study will be conducted at the outpatient clinic of China Medical University hospital. It is expected to enroll two groups of 30 subjects, including the experimental group must meet the clinical diagnosis of IBD, and the control group without IBD and have no obvious gastrointestinal symptoms . This proje ct uses modern TCM diagnostic tools, such as tongue diagnosis instrument, auscul tation instrument, TCM constitution questionnaire, and pulse diagnosis instrument to establish the comparison of physiological and biochemical indicators such as TCM phenotype and laboratory tests data in patients with IBD. Besides, another purpose of this project is to analyze the tongue coating metabolites of patients with IBD by mass spectrometry, and to establish a research model of tongue coating an d metabolomics for patien ts with IBD and the prognosis analysis of acute and remission phases.

Clinical and experimental data suggest that dysbiosis may play a pivotal role in the pathogenesis of intestinal bowel disease (IBD). However, to the best of our knowledge, the composition of gastric and of intestinal microbiome has never been investigated in a population with IBD according to the presence/absence of Helicobacter pylori (H. pylori) in the stomach.

Molecular Inflammation Board at the Center for Personalized Medicine

A European-wide cross-sectional non-interventional study, initiated by a pilot study in Italy, will be conducted. The first phase of the pilot study is a 6-step translation, adaptation, and validation of the extended version of the Spiritual Needs Questionnaire (SpNQ-EV) and the Interpretation of Illness Questionnaire (IIQ) adopting the methodology \[3\] described in figure 1. To ensure they are both valid and user-friendly, the Thinking Out Loud (TOL) technique (think-aloud method) will pre-test their self-administration and provide fine tuning of the secondary objectives of the study. TOL involves participants verbalizing their thoughts while completing the questionnaires, allowing to capture real-time insights into their understanding, interpretation, and potential challenges with questionnaires' items. The second phase will consist of an anonymous e-survey consisting of the six questionnaires described in table 1 including the translated and validated SPNQ-EV and IIQ developed in phase 1. The European study will employ a multilingual anonymous e-survey developed to ensure accessibility in participants' native languages, eventually preceded by country-based pilot studies. Eligible participants include adolescents and adults with IBD, as well as their caregivers, recruited via nurses and patient associations.