Multicentre derivation and validation of a colitis-associated colorectal cancer risk prediction web tool

Objective Patients with ulcerative colitis (UC) diagnosed with low-grade dysplasia (LGD) have increased risk of developing advanced neoplasia (AN: high-grade dysplasia or colorectal cancer). We aimed to develop and validate a predictor of AN risk in patients with UC with LGD and create a visual web tool to effectively communicate the risk. Design In our retrospective multicentre validated cohort study, adult patients with UC with an index diagnosis of LGD, identified from four UK centres between 2001 and 2019, were followed until progression to AN. In the discovery cohort (n=246), a multivariate risk prediction model was derived from clinicopathological features using Cox regression. Validation used data from three external centres (n=198). The validated model was embedded in a web tool to calculate patient-specific risk. Results Four clinicopathological variables were significantly associated with AN progression in the discovery cohort: endoscopically visible LGD >1 cm (HR 2.7; 95% CI 1.2 to 5.9), unresectable or incomplete endoscopic resection (HR 3.4; 95% CI 1.6 to 7.4), moderate/severe histological inflammation within 5 years of LGD diagnosis (HR 3.1; 95% CI 1.5 to 6.7) and multifocality (HR 2.9; 95% CI 1.3 to 6.2). In the validation cohort, this four-variable model accurately predicted future AN cases with overall calibration Observed/Expected=1.01 (95% CI 0.64 to 1.52), and achieved 100% specificity for the lowest risk group over 13 years of available follow-up. Conclusion Multicohort validation confirms that patients with large, unresected, multifocal LGD and recent moderate/severe inflammation are at highest risk of developing AN. Personalised risk prediction provided via the Ulcerative Colitis-Cancer Risk Estimator ( www.UC-CaRE.uk ) can support treatment decision-making

Adaptation, implementation, and mixed methods evaluation of an interprofessional modular clinical practice guideline for delirium management on an inpatient palliative care unit

Abstract Background Using delirium clinical guidelines may align interprofessional clinical practice and improve the care of delirious patients and their families. The aim of this project was to adapt, implement and evaluate an interprofessional modular delirium clinical practice guideline for an inpatient palliative care unit. Methods The setting was a 31-bed adult inpatient palliative care unit within a university-affiliated teaching hospital. Participants for the evaluation were interprofessional team members. Using integration of guideline adaptation and an education initiative, an interprofessional guideline adaptation group developed a face-to-face ‘starter kit’ module and four online self-learning modules. The mixed methods evaluation comprised pre-and post-implementation review of electronic patient records, an online survey, and analysis of focus groups/ interviews using an iterative, inductive thematic analysis approach. Results Guideline implementation took 12 months. All palliative care unit staff attended a ‘starter kit’ session. Overall completion rate of the four e-Learning modules was 80.4%. After guideline implementation, nursing documentation of non-pharmacological interventions occurring before medication administration was observed. There was 60% less scheduled antipsychotic use and an increase in ‘as needed’ midazolam use. The online survey response rate was 32% (25/77). Most participants viewed the guideline’s implementation favourably. Six key themes emerged from the qualitative analysis of interviews and focus groups with ten participants: prior delirium knowledge or experiences, challenges of facilitating change, impacts on practice, collaborative effort of change, importance of standardized guidelines, and utility of guideline elements. Conclusions Guideline implementation warrants concerted effort, time, and management support. Interprofessional team support facilitates the modular approach of guideline adaptation and implementation, leading to a change in clinical practice

Cancer Biology or Ineffective Surveillance? A Multicentre Retrospective Analysis of Colitis-Associated Post-Colonoscopy Colorectal Cancers

BACKGROUND AND AIMS: Inflammatory bowel disease (IBD) is associated with high rates of post-colonoscopy colorectal cancer (PCCRC), but further in-depth qualitative analyses are required to determine whether they result from inadequate surveillance or aggressive IBD cancer evolution. METHODS: All IBD patients who had a colorectal cancer (CRC) diagnosed between January 2015 to July 2019 and a recent (<4 years) surveillance colonoscopy at one of four English hospital trusts underwent root cause analyses as recommended by the World Endoscopy Organisation to identify plausible PCCRC causative factors. RESULTS: 61% (n=22/36) of the included IBD CRCs were PCCRCs. They developed in patients with high cancer risk factors (77.8%; n=28/36) requiring annual surveillance, yet 57.1% (n=20/35) had inappropriately delayed surveillance. Most PCCRCs developed in situations where (i) an endoscopically unresectable lesion was detected (40.9%; n=9/22), (ii) there was a deviation from the planned management pathway (40.9%; n=9/22) e.g. service, clinician or patient-related delays in acting on a detected lesion, or (iii) lesions were potentially missed as they were typically located within areas of active inflammation or post-inflammatory change (36.4%; n=8/22). CONCLUSIONS: IBD PCCRC prevention will require more proactive strategies to reduce endoscopic inflammatory burden, improve lesion optical characterisation, adherence to recommended surveillance intervals and patient acceptance of prophylactic colectomy. However, the significant proportion appearing to originate from non-adenomatous-looking mucosa which fail to yield neoplasia on biopsy yet display aggressive cancer evolution highlight the limitations of current surveillance. Emerging molecular biomarkers may play a role in enhancing cancer risk stratification in future clinical practice

Multicentre derivation and validation of a colitis-associated colorectal cancer risk prediction web tool

10.1136/gutjnl-2020-323546Gu