BMJ Open Gastroenterology最新文献

Objectives: Acute severe ulcerative colitis (ASUC) poses challenges to patient management owing to its high surgical rate. This study aimed to identify predictors of colectomy in patients with ASUC.

Design: This is a systematic review and meta-analysis.

Data sources: PubMed and Web of Science were searched up to April 2024.

Eligibility criteria: Studies on the predictors of colectomy in adult patients with ASUC were eligible.

Data extraction and synthesis: Two reviewers independently extracted the data using a prespecified data collection sheet. A qualitative synthesis was performed in tabular form. Random-effect meta-analyses were conducted using OR and 95% CI.

Results: Forty-two studies were included in the systematic review. The reported variables can be categorised into biomarkers, auxiliary examination findings, demographic and clinical characteristics, and drug factors. Through meta-analysis, albumin (OR 0.39 (95% CI 0.26 to 0.59) per 1 g/dL increment, I²=0.0%), high C reactive protein level (2.63 (1.53 to 4.52), I²=29.6%), high erythrocyte sedimentation rate level (2.92 (1.39 to 6.14), I²=0.0%), low haemoglobin level (2.08 (1.07 to 4.07), I²=56.4%), fulfilling the Oxford criteria (4.42 (2.85 to 6.84), I²=0.0%), extensive colitis (1.85 (1.24 to 2.78), I²=47.5%), previous steroids (1.75 (1.23 to 2.50), I²=17.7%) or azathioprine (2.25 (1.28 to 3.96), I²=0.0%) use, and sarcopenia (1.90 (1.04 to 3.45), I²=0.0%) were identified as valuable predictors for colectomy within 1 year. The ulcerative colitis endoscopic index of severity (OR 2.41 (95% CI 1.72 to 3.39), I²=1.5%) was the only predictor found to predict colectomy over 1 year.

Conclusion: Identification of these predictors may facilitate risk stratification of patients with ASUC, drive personalised treatment and reduce the need for colectomy.

Objective: Liver disease is a growing cause of premature death in the UK. The National Health Service in England (NHS England) has funded regional early detection programmes through Community Liver Health Check pilots. 'Alright My Liver?' is Bristol and Severn's pilot service offering early detection of liver disease through screening events serving populations at risk, including people with a history of drug or alcohol use, type 2 diabetes and obesity. The service offers point-of-care testing for liver disease and a supported follow-up process.

Methods: Semistructured interviews were conducted with 14 service users and six service providers over a 6-month period using diversity sampling. Topic guides encouraged discussion of experiences of the service as well as barriers and facilitators to accessing the service. Data were analysed using thematic analysis, and positive and negative comments pertaining to the service were collated in a 'table of changes' to inform optimisation.

Results: Three main themes were identified: (1) motivations for engagement, (2) experience of the service and (3) health impacts. Key motivations for engagement were screening as a novel opportunity, a response to immediate health concerns or as reassurance. Service users commented on its convenience and that staff interactions were warm and informative. Some felt that follow-up could be more intensive. Impacts varied depending on perceived risk factors and screening results but generally involved stating a commitment to healthy lifestyle changes, including reducing alcohol use.

Conclusion: Targeted screening for liver disease in high-risk groups through this pilot service was deemed an appropriate and accessible intervention, with important optimisations identified.

Introduction: Pancreatic portal hypertension (PPH) is a rare complication of acute pancreatitis (AP) that can lead to severe gastrointestinal bleeding. The risk factors associated with PPH, as well as the overall prognosis, warrant further investigation. This study aims to develop and validate a nomogram to predict PPH in patients with AP.

Methods: Consecutive patients with AP from 2015 to 2023 were retrospectively included in the study. Demographic data, clinical manifestations within the first week of AP onset, and initial contrast-enhanced CT findings were used to develop the predictive model. Univariate and multivariate Cox regression analyses were performed to identify risk factors for PPH. Based on the results of the multivariate analysis, a nomogram was developed. The patients were randomly divided into training and validation sets at a 7:3 ratio. The accuracy and discriminative power of the predictive model were assessed using the area under the curve (AUC) from the receiver operating characteristic curve and the calibration curve.

Results: Of the 1473 patients with AP, 107 (7.3%) developed PPH within 6 months (range: 2-22 months) during follow-up. Multivariate regression analysis showed that body mass index (BMI) (HR, 1.10; 95% CI 1.04 to 1.16; p=0.001), moderately severe grade (HR, 9.36; 95% CI 4.58 to 19.13; p<0.001), severe grade (HR, 12.95; 95% CI 6.22 to 26.94; p<0.001), diabetes (HR, 2.26; 95% CI 1.47 to 3.47; p<0.001), acute fluid accumulation (HR, 2.13; 95% CI 1.31 to 3.47; p=0.002), and necrosis (HR, 3.64; 95% CI 2.30 to 5.78; p<0.001) were independent risk factors for PPH. A nomogram for predicting PPH was developed, with the predictive curves showing an AUC of 0.859 at 6 months and 0.846 at 9 months. In the validation set, the AUC at both time points was 0.812.

Conclusion: In summary, we identified BMI, moderately severe or severe AP, diabetes, acute fluid accumulation, and necrosis as risk factors for AP-related PPH. Using the largest cohort of patients with AP to date, we developed a highly accurate nomogram with strong discriminative ability for predicting PPH. Future studies with larger sample sizes are necessary to confirm our findings and conduct external validation.

Introduction: Colorectal cancer (CRC) poses a significant global health threat, necessitating early detection. Traditional diagnostic tools like optical colonoscopy have limitations prompting our '5G-SUCCEEDS' initiative to explore a novel approach involving remote colon capsule endoscopy (CCE).

Methods: This prospective feasibility study was conducted at a single hospital in England. Between December 2022 and September 2023, we introduced a remote CCE service within the 5G-SUCCEEDS framework. We undertook a feasibility study of CCE in patients with low-risk/moderate-risk CRC stratified by faecal haemoglobin. Outcomes included carbon footprint analysis (outlined through three potential clinical pathways) and patient-reported outcomes through structured questionnaires and interviews.

Results: Among 25 participants, 88% expressed satisfaction with remote CCE. 82% were willing to have remote CCE if clinically indicated in future. CCE findings included adenomatous polyps (58%), normal results (17%) and diverticulosis (21%), with no cancers identified in this pilot. Notably, we found that the carbon footprint associated with delivery of CCE at home (pathway 3) was lower compared with CCE delivered in a clinical setting (pathway 2). A fully optimised, automated scaled-up pathway would combine the delivery and collection of CCE equipment within a local area to reduce the carbon footprint of the travel element by 75%. Moreover, the conversion rate into a colonoscopy pathway is not static and clinicians acknowledge that this could be as low as 28%. Carbon footprint is more favourable for home-delivered CCE in the optimised scenario, while less so when considering the need for additional procedures (colonoscopy conversion).

Conclusion: The 5G-SUCCEEDS initiative highlights the feasibility and advantages of home-based diagnostics using CCE.

Objective: Diet is a risk factor in inflammatory bowel diseases (IBD) pathogenesis. This study aims to examine the dietary patterns and beliefs of Irish patients living with IBD through an online questionnaire and subsequent open discussions with an IBD patient collaborator panel (PCP). All data presented here are selected and presented following the PCP's suggestions and views.

Design: This mixed-method study included an online questionnaire using a short food frequency questionnaire examining dietary patterns, dietary opinions, beliefs and behaviours (phase I). Six in-person PCP sessions were conducted, where findings from the online questionnaire, diet and lifestyle in the context of IBD were discussed in depth (phase II).

Results: The questionnaire revealed that respondents with active IBD are associated with the consumption of high-sugar, processed and meat-based foods while reducing their consumption of high-fibre foods. Individuals with active Crohn's disease have a decrease in overall daily energy consumption and a significant reduction in intake of fibre, non-starch polysaccharides, micronutrients [B vitamins (B1, B2, and B9), vitamin C, calcium] and trace elements (iron, zinc, copper and manganese). The PCP reported that food tolerability is limited during relapse, leading patients to prefer simple carbohydrates for energy, consistent with the dietary intake data. The PCP reported that most dietary advice was received during hospitalisation (relapse), focused on food avoidance, with little follow-up during remission. The consensus among the PCP was that factors, such as disease type, psychological aspects, dietary understanding and support, can influence peoples' dietary choices.

Conclusion: In summary, we show that dietary intake in people with IBD varies and may depend on several factors, not just the disease itself. This PCP desires more dietary information and professional support outside of hospitalisation to assist with disease management.

Objective: Pain in inflammatory bowel disease (IBD) is frequently neglected/overlooked, particularly in ulcerative colitis, and communication about pain can be suboptimal. The current study juxtaposes clinicians' conceptualisations of patients' pain with patient narratives. The aim was to inform the development of a pain reporting tool and provide guidance for better communication about IBD pain.

Methods: In-depth semistructured interviews with 13 IBD clinicians in the UK: gastroenterologists (n=5), colorectal surgeons (n=2), specialist nurses (n=4) and psychologists (n=2). Primary analysis of these data and secondary analysis of earlier interviews about pain in IBD with clinicians (n=12) and patients (n=71) followed principles of reflexive thematic analysis. Themes were compared across participant groups.

Results: Clinicians state that they regularly ask about pain in Crohn's disease, but not ulcerative colitis. Patients, however, report inconsistent attention to pain in either condition, with power dynamics constraining their pain report. Some clinicians acknowledged that they assume that patients manage their pain independently, leading to insufficient follow-up (Theme 1: Contradictions and ambiguities when discussing pain in IBD). Inadequate acknowledgement of pain by clinicians was attributed to time constraints and systemic issues. Where inflammatory or structural causes were lacking, some clinicians default to attributing pain to irritable bowel syndrome, contributing to patients feeling uncared for (Theme 2: Consequences of limited tools and time for pain). Addressing pain was further complicated by the reluctance of some patients to express discomfort or pain and others who avoided activities that might lead to pain (Theme 3: Addressing pain in patients who do not complain).

Conclusion: The study emphasises the importance of consistent pain evaluation and management, advocating for more open dialogues between clinicians and patients.

Objective: Computer-aided diagnosis (CAD) using artificial intelligence (AI) is expected to support the characterisation of colorectal lesions, which is clinically relevant for efficient colorectal cancer prevention. We conducted this study to assess the diagnostic performance of commercially available CAD systems.

Methods: This was a multicentre, prospective performance evaluation study. The endoscopist diagnosed polyps using white light imaging, followed by non-magnified blue light imaging (non-mBLI) and mBLI. AI subsequently assessed the lesions using non-mBLI (non-mAI), followed by mBLI (mAI). Eventually, endoscopists made the final diagnosis by integrating the AI diagnosis (AI+endoscopist). The primary endpoint was the accuracy of the AI diagnosis of neoplastic lesions. The diagnostic performance of each modality (sensitivity, specificity and accuracy) and confidence levels were also assessed.

Results: Overall, 380 lesions from 139 patients were included in the analysis. The accuracy of non-mAI was 83%, 95% CI (79% to 87%), which was inferior to that of mBLI (89%, 95% CI (85% to 92%)) and mAI (89%, 95% CI (85% to 92%)). The accuracy (95% CI) of diagnosis by expert endoscopists using mAI (91%, 95% CI (87% to 94%)) was comparable to that of expert endoscopists using mBLI (91%, 95% CI (87% to 94%)) but better than that of non-expert endoscopists using mAI (83%, 95% CI (75% to 90%)). The level of confidence in making a correct diagnosis was increased when using magnification and AI.

Conclusions: The diagnostic performance of mAI for differentiating colonic lesions is comparable to that of endoscopists, regardless of their experience. However, it can be affected by the use of magnification as well as the endoscopists' level of experience.

Objectives: The admission of patients with liver cirrhosis to the intensive care unit (ICU) due to infections is a frequent occurrence, often leading to complications such as hepatic encephalopathy, renal failure and circulatory collapse, significantly elevating mortality risks. Accurate and timely diagnosis and intervention are critical for improving therapeutic outcomes. In this context, medical scoring systems in ICUs are essential for precise diagnosis, severity assessment and appropriate therapeutic strategies. There are no specific models for the prediction of mortality in ICU patients with liver cirrhosis-associated infections. This study aims to develop an improved prognostic scoring system for predicting in-hospital mortality among liver cirrhosis patients with infections in the ICU. This scoring system is designed to enhance the predictive accuracy of in-hospital mortality complementing existing sepsis and liver-specific prognostic models.

Methods: A retrospective analysis was conducted in 620 patients with liver cirrhosis, treated for infections in the ICU of a German university hospital during 2017-19. Advanced statistical techniques were employed to develop and validate the LIVERAID (LIVER And Infectious Diseases)-ICU score, a novel scoring system specifically tailored for liver cirrhosis patients in the ICU with infections. The development of the multivariable logistic regression model involved selecting variables with the highest prognostic efficacy, and its predictive performance was assessed using calibration plots and the concordance statistic (c-index) to evaluate both calibration and discrimination.

Results: The LIVERAID-ICU score integrates Child-Pugh class, serum urea levels and respiratory metrics. It is designed for bedside calculation using basic clinical and laboratory data, with no need for additional tools. In the validation cohort, the LIVERAID-ICU score exhibited enhanced sensitivity and specificity (AUC=0.83) in forecasting in-hospital mortality of patients with liver cirrhosis-associated infections when compared with established scores like Sequential Organ Failure Assessment (SOFA) (p=0.045), Model for End-Stage Liver Disease (MELD) (p=0.097), Child (p<0.001) and CLIF consortium acute-on-chronic liver failure (CLIF-C ACLF) (p<0.001).

Conclusion: The newly developed LIVERAID-ICU score represents a robust, streamlined and easy tool for predicting in-hospital mortality in liver cirrhosis patients with infections, surpassing the predictive capabilities of established liver or sepsis scores like SOFA, MELD, Child and CLIF-C ACLF. The reliance of the LIVERAID-ICU score on fundamental clinical and laboratory data facilitates its global application in ICUs, enabling immediate application at the bedside for patients with liver cirrhosis during episodes of suspected or confirmed infections.

Objective: Colonoscopy-related adverse events increase the burden of colorectal cancer (CRC) screening. This cross-sectional study evaluates adverse events during and after colonoscopy in a large, randomised CRC screening trial in Norway comparing sigmoidoscopy to immunochemical testing for faecal blood.

Methods: We included all individuals who underwent colonoscopy at two screening centres between 2012 and 2020. From medical records, we retrieved data on adverse events during and within 30 days after colonoscopy and classified them according to the American Society for Gastrointestinal Endoscopy lexicon for endoscopic adverse events. Multivariable logistic regression models were fitted to identify risk factors for adverse events.

Results: Of the 10 244 included individuals, 242 (2.4%) had at least one adverse event that was possibly, probably, or definitively related to the colonoscopy. 188 (1.8%) had mild adverse events, 50 (0.49%) had moderate, 3 (0.03%) had severe, and 1 had a fatal adverse event. The most frequent adverse events were lower gastrointestinal bleeding (0.86%), abdominal pain (0.48%), vasovagal reaction (0.39%), postpolypectomy syndrome (0.20%), and perforation (0.08%). 23 (0.22%) individuals had non-gastrointestinal adverse events. Risk factors associated with adverse events were older age, female sex, screening centre, anticoagulant therapy, number of polypectomies, size of lesion removed, presence of proximal lesion, and adenocarcinoma. Adverse event rates per endoscopist ranged from 0% to 4.9%.

Conclusion: Adverse events after colonoscopy of screening positives occurred in about 2 out of 100 procedures. Three-quarters of events were mild. Awareness of risk factors may help endoscopists to mitigate the risk.

Trial registration number: NCT01538550.

Objective: To investigate how individual social determinants of health (SDOH) and cumulative social disadvantage (CSD) affect survival and receipt of liver transplant (LT) in patients with hepatocellular carcinoma (HCC).

Methods: We enrolled 139 adult patients from two Indianapolis hospital systems between June 2019 and April 2022. Structured questionnaires collected SDOH and social risk factor data. We compared SDOH and CSD by race, gender and disease aetiology, assigning one point per adverse SDOH. Multivariable competing risk survival analysis assessed associations between SDOH, CSD, survival and LT receipt.

Results: Black patients experienced higher CSD than white patients in the cohort (5.4±2.5 vs 3.2±2.1, p<0.001). Black patients were significantly more likely to have household incomes

Conclusions: There are significant racial and aetiology-related differences in SDOH burden. Low health literacy and high CSD are linked to worse outcomes in HCC patients. Health literacy screening and targeted interventions for those with high CSD could improve LT access and survival rates.