Risk Stratification for Surgery in Stricturing Ileal Crohn’s Disease: The BACARDI Risk Model
Bibliographic record
Abstract
BACKGROUND AND AIM: Transmural inflammation in Crohn's disease [CD] leads to stricturing or penetrating complications. Factors impacting on the need and timing of surgery in ileal stricturing CD [IS-CD] are understudied. Our aim was to identify risk factors in IS-CD associated with the need for surgery over time. METHODS: All cross-sectional imaging [XSI] performed for CD between 2006 and 2015 in a tertiary referral centre was analysed. The electronic charts of patients with IS-CD were reviewed for demographic, clinical, biochemical, imaging, genetic, and endoscopic factors. An independent cohort was used for validation. RESULTS: A total of 1803 XSI were performed in 957 patients with CD. IS-CD was diagnosed in 235 patients, and 161 of these [69%] needed surgery. Prestenotic dilation (hazard ratio [HR] 2.05, 95% confidence interval [CI] 1.22-3.45, p = 0.007], C-reactive protein at diagnosis of IS-CD > 11 mg/L [HR 1.53, 95% CI 1.05-2.24, p = 0.026], Montreal B3 phenotype [HR 1.58, 95% CI 1.06-2.36, p = 0.023], previous/current anti-tumour necrosis factor [TNF] exposure [HR 1.44, 95% CI 1.00-2.06, p = 0.048], and presence of at least one NOD2 rs2066844 risk allele [HR 1.51, 95% CI 1.02-2.23, p = 0.038] significantly impacted on the need for surgery in multivariate analysis. The risk stratification model [BACARDI] yielded a surgery-free survival after 5 years of 77%, 38%,19%, and 0% for the low, medium, high, and all risk groups, respectively. Based on an independent cohort of 27 patients, the results were validated and demonstrated adequate performance. CONCLUSIONS: This risk model can facilitate therapeutic decisions in IS-CD and suggest the correct time for surgery in daily clinical practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".