DOP26 Burden of perianal disease and perianal surgery in Crohn’s disease over different therapeutic eras – a population-based study from western Hungary between 1977–2020, data from the Veszprem county cohort
Bibliographic record
Abstract
Abstract Background Few population-based studies have investigated rates and management of perianal disease and long-term perianal surgery rates in Crohn’s disease (CD). The present study is a continuation of the Veszprem IBD population based cohort with a follow-up osince 1977. Our aim was to analyze the long-term rates of perianal surgical procedures over different therapeutic eras in a prospective population-based database from Veszprem Province, including incident CD patients. Methods Patient inclusion was between January 1, 1977 and December 31, 2018; follow-up ended December 31, 2020. Both in-hospital and outpatient records were collected. Perianal surgical procedure was defined as any perianal surgical procedure including fistulotomy, abscess drainage or seton placement. Surgery rates were examined in three different eras based on time of diagnosis: cohort-A, 1977-1995; cohort-B, 1996-2008; and cohort-C, 2009-2018. Results Data of 946 incident CD patients were analyzed (male/female: 496/450; median age at diagnosis: 28 years(y) [IQR: 22-40]). Median follow-up time for the entire cohort was 15 years (IQR: 9-21). Table 1. Perianal disease at diagnosis was present in 17.4% (n=165) of the total cohort, and in 24.7%/ 18.5%/ 13.2% in cohorts A/B/C, respectively. By the end of follow-up, an additional 9.3% (n=88) of the total cohort developed perianal disease. Cumulative immunosuppressive and biologic therapy exposure increased by time in cohorts A/B/C (Table 2 and Figure 1), and biologic use was higher in patients with perianal disease compared to the overall population.Figure 2. The overall rate of perianal surgical procedures was 44.7% (113/253) in patients with perianal disease during the total follow-up. The cumulative probability of perianal surgical procedure in patients with perianal disease was 28.3±2.9% after 10 years, 41.0±3.5% after 20 years, and 64.1±5.1% after 30 years. No statistically significant differences have been observed in the cumulative probability of perianal intervention between cohorts A/B/C: 24.2±5.4%/ 19.9±3.5%/ 29.4±5.8% after 5 years; 33.9±6.0%/ 23.6±3.8%/ 31.7±6.1% after 10 years; [LogRank=0.594]. Figure 3. Cox-regression multivariate analysis showed that stenosing or penetrating disease (B2/B3) behavior (HR 1.81; 95%CI 1.19-2.75; p=0.005) was independent predictor of perianal surgical procedure. Table 3. Conclusion The burden of perianal disease and perianal surgical interventions was high in this cohort. Patients with perianal CD had higher exposure to biologicals. No difference was observed in perianal surgical intervention rates despite the increasing use of immunosuppressives and biologicals over time, however these procedures may partly represent a medical decision and the complex management of perianal disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".