Eosinophilic gastroenteritis-induced intestinal obstruction.

A 53-year-old man presented with abdominal pain and distension, accompanied with vomiting, and weight loss. Then he was treated with gastrointestinal decompression and enema, but the symptom of abdominal pain and distension continued with no relief. He had no drug or food allergies. He had no family history of liver disease, tuberculosis, asthma, and coagulation disorder. On physical examination, the patient had normal vital signs, abdominal distention, and generalized abdominal pain at palpation, with no rebound tenderness. Laboratory findings revealed significantly elevated white blood cells (14.28x109/L), eosinophils (8.23x109/L), C-reactive protein (13.5 mg/L), Serum IgE (487.83 µg/ml), and decreased albumin (34.6 g/L). There was no evidence of a recent infection with malaria, Lyme disease, hepatitis A, B, C or E viruses, Epstein-Barr virus (EBV), cytomegalovirus (CMV) or HIV. Antinuclear antibody was negative. His blood, stool, urine cultures, Clostridium difficile toxin, tumor markers, and T-spot test were negative and chest computed tomography (CT) was normal. Abdominal CT revealed dilatation of all duodenum, jejunum, ileum, and colon with thickened walls. Gastroscope showed hyperemia and edema in the gastric antrum mucosa. Double-balloon enteroscopy and Colonoscopy showed congestion in the small intestinal mucosa and colon mucosa. The histopathology of biopsies from the gastric antrum mucosa and small intestinal mucosa revealed visible eosinophil infiltration (38 and 52 eosinophils per HPF; a normal range at this anatomic site of 20 eosinophils per HPF), repectively. Therefore, the patient was diagnosed with eosinophilic gastroenteritis and intestinal obstruction. Then the patient was treated with an oral intake of prednisone 40 mg daily. Within three weeks, his abdominal distension was in complete relief. And prednisone was administered orally in decreasing amounts over that period. The patient was general in good condition during the follow-up period until now.

A non-invasive artificial intelligence model for identifying axillary pathological complete response to neoadjuvant chemotherapy in breast cancer: a secondary analysis to multicenter clinical trial.

BACKGROUND: This study aims to develop a stacking model for accurately predicting axillary lymph node (ALN) response to neoadjuvant chemotherapy (NAC) using longitudinal MRI in breast cancer. METHODS: We included patients with node-positive breast cancer who received NAC following surgery from January 2012 to June 2022. We collected MRIs before and after NAC, and extracted radiomics features from the tumour, peritumour, and ALN regions. The Mann-Whitney U test, least absolute shrinkage and selection operator, and Boruta algorithm were used to select features. We utilised machine learning techniques to develop three single-modality models and a stacking model for predicting ALN response to NAC. RESULTS: This study consisted of a training cohort (n = 277), three external validation cohorts (n = 313, 164, and 318), and a prospective cohort (n = 81). Among the 1153 patients, 60.62% achieved ypN0. The stacking model achieved excellent AUCs of 0.926, 0.874, and 0.862 in the training, external validation, and prospective cohort, respectively. It also showed lower false-negative rates (FNRs) compared to radiologists, with rates of 14.40%, 20.85%, and 18.18% (radiologists: 40.80%, 50.49%, and 63.64%) in three cohorts. Additionally, there was a significant difference in disease-free survival between high-risk and low-risk groups (p < 0.05). CONCLUSIONS: The stacking model can accurately predict ALN status after NAC in breast cancer, showing a lower false-negative rate than radiologists. TRIAL REGISTRATION NUMBER: The clinical trial numbers were NCT03154749 and NCT04858529.

Longitudinal ultrasound-based AI model predicts axillary lymph node response to neoadjuvant chemotherapy in breast cancer: a multicenter study.

OBJECTIVES: Developing a deep learning radiomics model from longitudinal breast ultrasound and sonographer's axillary ultrasound diagnosis for predicting axillary lymph node (ALN) response to neoadjuvant chemotherapy (NAC) in breast cancer. METHODS: Breast cancer patients undergoing NAC followed by surgery were recruited from three centers between November 2016 and December 2022. We collected ultrasound images for extracting tumor-derived radiomics and deep learning features, selecting quantitative features through various methods. Two machine learning models based on random forest were developed using pre-NAC and post-NAC features. A support vector machine integrated these data into a fusion model, evaluated via the area under the curve (AUC), decision curve analysis, and calibration curves. We compared the fusion model's performance against sonographer's diagnosis from pre-NAC and post-NAC axillary ultrasonography, referencing histological outcomes from sentinel lymph node biopsy or axillary lymph node dissection. RESULTS: In the validation cohort, the fusion model outperformed both pre-NAC (AUC: 0.899 vs. 0.786, p < 0.001) and post-NAC models (AUC: 0.899 vs. 0.853, p = 0.014), as well as the sonographer's diagnosis of ALN status on pre-NAC and post-NAC axillary ultrasonography (AUC: 0.899 vs. 0.719, p < 0.001). Decision curve analysis revealed patient benefits from the fusion model across threshold probabilities from 0.02 to 0.98. The model also enhanced sonographer's diagnostic ability, increasing accuracy from 71.9% to 79.2%. CONCLUSION: The deep learning radiomics model accurately predicted the ALN response to NAC in breast cancer. Furthermore, the model will assist sonographers to improve their diagnostic ability on ALN status before surgery. CLINICAL RELEVANCE STATEMENT: Our AI model based on pre- and post-neoadjuvant chemotherapy ultrasound can accurately predict axillary lymph node metastasis and assist sonographer's axillary diagnosis. KEY POINTS: Axillary lymph node metastasis status affects the choice of surgical treatment, and currently relies on subjective ultrasound. Our AI model outperformed sonographer's visual diagnosis on axillary ultrasound. Our deep learning radiomics model can improve sonographers' diagnosis and might assist in surgical decision-making.

Noninvasive Artificial Intelligence System for Early Predicting Residual Cancer Burden during Neoadjuvant Chemotherapy in Breast Cancer.

OBJECTIVE: To develop an artificial intelligence (AI) system for the early prediction of residual cancer burden (RCB) scores during neoadjuvant chemotherapy (NAC) in breast cancer. SUMMARY BACKGROUND DATA: RCB III indicates drug resistance in breast cancer, and early detection methods are lacking. METHODS: This study enrolled 1048 patients with breast cancer from four institutions, who were all receiving NAC. Magnetic resonance images were collected at the pre- and mid-NAC stages, and radiomics and deep learning features were extracted. A multitask AI system was developed to classify patients into three groups (RCB 0-I, II, and III ) in the primary cohort (PC, n=335). Feature selection was conducted using the Mann-Whitney U- test, Spearman analysis, least absolute shrinkage and selection operator regression, and the Boruta algorithm. Single-modality models were developed followed by model integration. The AI system was validated in three external validation cohorts. (EVCs, n=713). RESULTS: Among the patients, 442 (42.18%) were RCB 0-I, 462 (44.08%) were RCB II and 144 (13.74%) were RCB III. Model-I achieved an area under the curve (AUC) of 0.975 in the PC and 0.923 in the EVCs for differentiating RCB III from RCB 0-II. Model-II distinguished RCB 0-I from RCB II-III, with an AUC of 0.976 in the PC and 0.910 in the EVCs. Subgroup analysis confirmed that the AI system was consistent across different clinical T stages and molecular subtypes. CONCLUSIONS: The multitask AI system offers a noninvasive tool for the early prediction of RCB scores in breast cancer, supporting clinical decision-making during NAC.

[Clinical metabolomics of Zicuiyin in treatment of diabetic kidney disease].

This study aimed to analyze the therapeutic effect of Zicuiyin on diabetic kidney disease(DKD) and explore the possible targets of this formula. Eighteen DKD patients treated in the endocrine department or nephrology department of Second Affilia-ted Hospital of Tianjin University of Traditional Chinese Medicine from January to December in 2019 were enrolled and assigned into a test group(n=10) and a control group(n=8). Both groups received routine chemical medicine treatment. In addition, the test group was treated with Zicuiyin and the control group with Huangkui Capsules for 8 weeks. The clinical trial was approved by the Ethics Committee of Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, with the ethical approval No. 2017-023-01, and all the patients signed the informed consent form. The results showed that the 8-week treatment with Zicuiyin lowered the level of glycosylated hemoglobin(HbA1c) and recovered the 24 h urinary protein(24hUP), 24 h urinary microalbumin(24hmAlb), urine albumin-to-creatinine ratio(UACR), and estimated glomerular filtration rate(eGFR) of the patients with 24hUP<3.5 g. According to the different levels in 24hUP, all the patients were divided into two subgroups(subgroup A with 24hUP<3.5 g and subgroup B with 24hUP≥3.5 g). The ultra-high performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS)-based non-targeted metabolomics analysis was conducted on the baseline serum samples from diffe-rent subgroups of patients. Nineteen biomarker candidates were identified to distinguish the metabolic differences between the two subgroups, and their correlations with clinical indicators were analyzed. Zicuiyin lowered the levels of phenylalanine, pseudouridine, and adenosine [fold change(FC)<0.5, P<0.05] in subgroup A. The results indicated that Zicuiyin was more effective on the DKD patients with low urinary protein levels, and its targets were involved in phenylalanine metabolism and nucleoside metabolism.

Effectiveness and safety of upadacitinib for inflammatory bowel disease: A systematic review and meta-analysis of RCT and real-world observational studies.

BACKGROUND: Upadacitinib, a novel and selective inhibitor of Janus kinase 1, has demonstrated promising efficacy in managing inflammatory bowel disease (IBD). In this systematic review and meta-analysis, our primary aim was to comprehensively assess the therapeutic effectiveness and safety profile of upadacitinib in the treatment of patients with IBD. METHODS: We conducted an extensive literature search across prominent databases, including Medline, Embase, Web of Science, and Cochrane Central, to identify pertinent studies providing insights into the efficacy and safety of upadacitinib in IBD. The primary endpoint was the achievement of clinical remission, while secondary endpoints encompassed clinical response, endoscopic response, endoscopic remission, and the evaluation of adverse events (AEs). RESULTS: In this meta-analysis of nine studies, we categorized results by study type. Clinical remission rates were: RCTs 36 % (95 % CI = 30-42 %), real-world studies 25 % (95 % CI = 1-49 %), retrospective studies 40 % (95 % CI = 24-56 %), cohort studies 55 % (95 % CI = 25-85 %). Clinical response rates were: RCTs 61 % (95 % CI = 55-67 %), real-world studies 42 % (95 % CI = 14-70 %), cohort studies 65 % (95 % CI = 57-73 %). Endoscopic remission rates were: RCTs 19 % (95 % CI = 15-24 %), cohort studies 29 % (95 % CI = 5-52 %). Endoscopic response rates were: RCTs 41 % (95 % CI = 36-47 %), cohort studies 57 % (95 % CI = 31-83 %). Incidence rate for any AEs: IBD 69 % (95 % CI = 63-76 %), UC 65 % (95 % CI = 57-74 %), CD 75 % (95 % CI = 67-82 %). CONCLUSION: Cumulative data from real-world studies and trials confirm the efficacy of upadacitinib in IBD induction and maintenance, with consistent safety. However, further long-term studies are needed to understand its sustained effectiveness and safety.

Infliximab-induced psoriasis in an ulcerative colitis patient successfully treated with guselkumab.

Ulcerative colitis (UC) is a chronic inflammatory disorder of the gastrointestinal tract. Tumor necrosis factor (TNF) inhibitors such as infliximab (IFX) are used to treat UC. But TNF inhibitors can induce psoriasis, which was characterized by IL-17/IL-22 expressing Th17 cells and IFN-γ expressing Th1 cells, with increased expression of Th17 cells correlated with more severe skin lesions and a need for Ustekinumab (UST) therapy1. UST is a monoclonal antibody that binds to the p40 subunit of the interleukin (IL)-12 and IL-23. It has shown remarkable efficacy in psoriasis and UC2. Guselkumab, a subcutaneously administered fully human IgG1 monoclonal antibody that selectively inhibits the p19 subunit of IL-23, is approved for the treatment of patients with moderate-to-severe plaque psoriasis3. It was shown to be efficacious in patients with prior failure of other biologics such as UST and was also observed in the treatment of psoriasis localized in difficult-to-treat body regions including the scalp, palms, soles, and fingernails. We report a case of successful use of guselkumab to treat a UC patient with IFX-induced psoriasis that was refractory to UST therapy.

Multifactor artificial intelligence model assists axillary lymph node surgery in breast cancer after neoadjuvant chemotherapy: multicenter retrospective cohort study.

BACKGROUND: The high false negative rate (FNR) associated with sentinel lymph node biopsy often leads to unnecessary axillary lymph node dissection following neoadjuvant chemotherapy (NAC) in breast cancer. The authors aimed to develop a multifactor artificial intelligence (AI) model to aid in axillary lymph node surgery. MATERIALS AND METHODS: A total of 1038 patients were enrolled, comprising 234 patients in the primary cohort, 723 patients in three external validation cohorts, and 81 patients in the prospective cohort. For predicting axillary lymph node response to NAC, robust longitudinal radiomics features were extracted from pre-NAC and post-NAC magnetic resonance images. The U test, the least absolute shrinkage and selection operator, and the spearman analysis were used to select the most significant features. A machine learning stacking model was constructed to detect ALN metastasis after NAC. By integrating the significant predictors, we developed a multifactor AI-assisted surgery pipeline and compared its performance and false negative rate with that of sentinel lymph node biopsy alone. RESULTS: The machine learning stacking model achieved excellent performance in detecting ALN metastasis, with an area under the curve (AUC) of 0.958 in the primary cohort, 0.881 in the external validation cohorts, and 0.882 in the prospective cohort. Furthermore, the introduction of AI-assisted surgery reduced the FNRs from 14.88 (18/121) to 4.13% (5/121) in the primary cohort, from 16.55 (49/296) to 4.05% (12/296) in the external validation cohorts, and from 13.64 (3/22) to 4.55% (1/22) in the prospective cohort. Notably, when more than two SLNs were removed, the FNRs further decreased to 2.78% (2/72) in the primary cohort, 2.38% (4/168) in the external validation cohorts, and 0% (0/15) in the prospective cohort. CONCLUSION: Our study highlights the potential of AI-assisted surgery as a valuable tool for evaluating ALN response to NAC, leading to a reduction in unnecessary axillary lymph node dissection procedures.

Effectiveness of 4 L, 2 L, and 1 L PEG bowel preparation for colonoscopy in patients with ulcerative colitis: a retrospective study.

An adequate bowel preparation (BP) is essential for a high quality colonoscopy. Patients with ulcerative colitis (UC) show low compliance with BP due to the large volume of lavage solution to be ingested. We sought to evaluate the efficacy of 4 L, 2 L, and 1 L polyethylene glycol (PEG) for BP and identify the related factors of suboptimal BP (SOBP) in patients We conducted a retrospective analysis of UC patients who underwent colonoscopies from January 2017 to March 2022 at our hospital. Quality of BP was documented using the Boston Bowel Preparation Scale (BBPS). BBPS score ≤ 6 is considered SOBP. The related factors associated with SOBP were evaluated using logistic regression analyses. In total, 282 patients with UC were enrolled in our study. The bowel cleansing by BBPS was 8.44±0.84 in 4 L PEG-based BP, 8.29±0.95 in 2 L PEG-based BP, and 7.59±1.17 in 1 L PEG-based BP. On multivariable analysis, extensive colitis (E3), moderate disease activity (mayo score: 6-10) to severe disease activity (mayo score: 11-12), severe endoscopic activity (EMS: 3), biological therapies (infliximab and vedolizumab), and 1 L PEG-based BP were associated with an increased odds of SOBP. Our study demonstrated that 2 L-based and 4 L-based BP is highly effective in UC patients undergoing colonoscopy. Moderate to severe disease activity, severe endoscopic activity, and the use of biological therapies were associated with an increased risk of SOBP in UC patients undergoing colonoscopy.

Treatment of steroid-refractory immune checkpoint Inhibitor-induced intestinal pseudo-obstruction with infliximab.

Immune checkpoint inhibition therapy using targeted monoclonal antibodies is a relatively new therapeutic approach for patients with several cancer types including non-small cell lung cancer1. Targeted monoclonal antibodies based drugs can activate anti-tumor immunity by blocking immune checkpoint receptors (CTLA-4, PD-1 receptor and its ligand PD-L1), in order to restore T-cell effector function2,3. However, the use of immune checkpoint inhibitors can lead to a unique side effect profile termed as immune-related adverse events (irAEs). Loss of T-cell inhibition results in an enhanced immune response driven by T-cell activation and is capable of inducing an autoimmune-related inflammation in normal tissue as a consequence of impaired self tolerance4. These irAEs can potentially involve every organ system including gastrointestinal, dermatologic, hepatic, and endocrine toxicities. For example, Fernandez-Gordon Sanchez et al reported a patient with immune-mediated colitis and nonimmune-mediated cholestasic injury induced by pembrolizumab that was successfully treated with Ustekinumab5. We report a steroid-refractory case of lung adenocarcinoma patient with an unusual irAE (intestinal pseudo-obstruction) during the treatment with immune checkpoint inhibitors that could be successfully managed by the administration of infliximab.

Long-term clinical outcomes after the discontinuation of anti-TNF agents in patients with inflammatory bowel disease: a meta-analysis.

BACKGROUND: there are concerns regarding the risk of relapse after discontinuation of anti-tumor necrosis factor (anti-TNF) therapy in patients with inflammatory bowel disease (IBD). A systematic review and meta-analysis were performed to evaluate the risk of relapse after discontinuation of anti-TNF agent in patients, and the response to retreatment with the same anti-TNF agent. METHODS: electronic databases were searched to identify relevant studies. Primary outcomes were the pooled percentage of relapses after the withdrawal of anti-TNF agents. Secondary outcomes were the pooled percentage of the response to retreatment with the same anti-TNF agent after relapse. RESULTS: thirty-seven studies were included in this meta-analysis. The overall risk of relapse after discontinuation of anti-TNF agent was 43 % for ulcerative colitis (UC) and 43 % for Crohn's disease (CD). In UC, the relapse rate was 37 % at 1-2 year, and 58 % at 3-5 years. In CD, the relapse rate was 38 % at 1-2 year, 53 % at 3-5 years, and 49 % at more than five years. When clinical remission was the only criterion for stopping anti-TNF agent, the relapse rate was 42 % in UC and 45 % in CD, which decreased to 40 % in UC and 36 % in CD when clinical remission and endoscopic healing were required. Retreatment with the same anti-TNF agent induced remission again in 78 % of UC patients and 76 % of CD patients. CONCLUSION: our meta-analysis showed that a high proportion of IBD patients will relapse after discontinuation of anti-TNF agent. The response to retreatment with the same anti-TNF agent is generally favorable in patients who relapse.

Combination therapy in inflammatory bowel disease: Current evidence and perspectives.

BACKGROUND AND OBJECTIVE: Inflammatory Bowel Diseases (IBD) are chronic nonspecific intestinal inflammatory diseases with a relapsing-remitting course, including Ulcerative Colitis (UC) and Crohn's Disease (CD). Combination therapy has been proposed as a strategy to enhance treatment efficacy in IBD. The aim of this study is to summarize current evidence and perspectives on combination therapies in IBD. METHODS: Electronic databases such as PubMed, Ovid Embase, Medline, and Cochrane CENTRAL were searched to identify relevant studies. RESULTS: Current evidence supports that the combination of infliximab and thiopurines is more effective than monotherapy in inducing and maintaining remission in IBD. Data on the combination of other biological agents such as adalimumab, vedolizumab, ustekinumab, and immunosuppressors is lacking or showed conflicting results. Vedolizumab seems a potentially effective maintenance regimen after calcineurin inhibitors-based rescue therapy in acute severe ulcerative colitis (ASUC). Dual Targeted Therapy, which is the combination of two biological agents and/or small molecules, might be a reasonable choice in patients with concomitant IBD and extraintestinal manifestations, or in patients with medical-refractory IBD who lack valid alternatives. Some safety concerns such as adverse events (serious and opportunistic infections) and malignancies (lymphoma and nonmelanoma skin cancer) were raised in combination therapies. CONCLUSIONS: Combination therapies seem to be effective in some IBD patients such as refractory IBD patients or patients with extraintestinal manifestations, but it might be associated with an increased risk of adverse events and malignancies.

Impact of SARS-CoV-2 vaccination in inflammatory bowel disease patients with different biological agents: a systematic review and meta-analysis.

BACKGROUND: There are concerns regarding the effect of biological agents on SARS-CoV-2 vaccination in patients with inflammatory bowel disease (IBD). A systematic review and meta-analysis was performed about the serological responses, breakthrough infections and clinical relapse of IBD patients treated with biological agents following SARS-CoV-2 vaccination. METHODS: Electronic databases were searched to identify relevant studies. Primary outcomes were the pooled seroconversion rates, breakthrough infection rates and clinical relapse rates after SARS-CoV-2 vaccination in IBD patients treated with biological agents. Secondary outcomes were the comparison of seroconversion rates, breakthrough infection rates and clinical relapse rates in IBD patients treated with biological agents and control cohort after SARS-CoV-2 vaccination. RESULTS: Thirty-five studies were included in this meta-analysis. A high percentage of seroconversion (96.6%, 99% and 99.2%) was achieved in IBD patients treated with anti-TNF-α therapy, vedolizumab and ustekinumab after SARS-CoV-2 vaccination, respectively. The pooled breakthrough infection rate was 2.5% and 3.9% in IBD patients treated with anti-TNF-α therapy and vedolizumab, respectively. The breakthrough infection rate in IBD patients treated with anti-TNF-α therapy was significantly lower than control cohort (RR 0.178, 95% CI 0.084-0.378). The pooled clinical relapse rate in IBD patients treated with anti-TNF-α therapy, vedolizumab and ustekinumab was 6.9%, 5.4% and 5.3%, respectively. CONCLUSION: The overall seroconversion rate after SARS-CoV-2 vaccination in IBD patients treated with biological agents is high. The overall breakthrough infection rate and clinical relapse rate in IBD patients treated with biological agents were low.

Successful treatment of Crohn's disease, aseptic liver abscess and psoriasis with ustekinumab.

Crohn's disease (CD) is a chronic inflammatory disorder of the gastrointestinal tract that is commonly known to affect the ileum and colon. Aseptic abscess (AA) has been pathologically described as sterile abscess with a predominance of polymorphonuclear leucocyte infiltrates, and is considered a rare extraintestinal manifestation of CD. AA presents a great challenge to physicians in determining if it is an extraintestinal manifestation of CD or an actual infection with pathogenic microorganisms. There is a strong association between CD and psoriasis. But the coexistence of AA and psoriasis in CD was unusual. Ustekinumab, as an IL 12/23 inhibitor, is the only treatment with a similar mechanism currently available for both CD and psoriasis. We report a case of successful use of ustekinumab to treat a CD patient with hepatic AA and psoriasis.

The incidence, clinical characteristics and serological characteristics of anti-tumor necrosis factor-induced lupus in patients with inflammatory bowel disease: A systematic review and meta-analysis.

BACKGROUND: There are concerns regarding anti-TNF-induced lupus (ATIL) in patients with inflammatory bowel disease (IBD). We performed a systematic review and meta-analysis about the incidence, the clinical characteristics and serological characteristics of ATIL secondary to anti-TNF agents in IBD patients. METHODS: Electronic databases were searched to identify relevant studies. Primary outcomes were the pooled ATIL incidence rates in IBD patients treated with anti-TNF agents. Secondary outcomes were the pooled clinical symptoms incidence rates, autoantibodies incidence rates and clinical resolution rates in IBD patients treated with anti-TNF agents. RESULTS: Ten studies were included in this meta-analysis. The pooled ATIL incidence rate in IBD patients treated with anti-TNF-α agents was 2.5%. The pooled ATIL incidence rate in UC and CD patients treated with anti-TNF-α agents was 1.5% and 1.8%, respectively. The pooled ATIL incidence rate in IBD patients treated with IFX and ADA was 4.5% and 0.2%, respectively. The pooled arthritis, mucocutaneous symptom, myalgia and fatigue incidence rate in IBD patients treated with anti-TNF-α agents was 87.2%, 29.4%, 23.9% and 41.8%, respectively. The pooled ANA rate in IBD patients treated with anti-TNF-α agents was 97.3%. The pooled anti-dsDNA antibody rate in IBD patients treated with anti-TNF-α agents was 73.9%. CONCLUSION: ATIL has a low prevalence in IBD patients treated with anti-TNF agents. ATIL occurs more frequently in CD patients than in UC patients. Arthritis, fatigue and mucocutaneous lesions were found to be common symptoms of ATIL. Patients with ATIL were more likely to develop ANA and anti-dsDNA.

Dual biologic therapy for severe ulcerative colitis, concomitant extraintestinal manifestations and an orbital osteoma: a successful treatment.

It is difficult to manage UC patients with tumor and extraintestinal manifestations (EIMs). We present this case of acute severe UC patient with peripheral arthritis and orbital tumor could be successfully managed by the concomitant use of two biologics (Dual targeted therapy, DTT) including vedolizumab (VDZ) and ustekinumab (UST). VDZ is approved for the treatment of patients with moderate-to-severe UC, but might have limited efficacy in treating EIMs due to its gut specific mechanism. UST shows clinical efficacy in the treatment of EIMs and is used for UC treatment.