P753 Early perianal abscess recurrence in patients with perianal Crohn's disease on biologic therapy predicts long-term permanent fecal diversion
Bibliographic record
Abstract
Abstract Background Generally, it’s difficult to estimate the efficacy of biologics (Bio) for perianal lesions of Crohn’s disease (CD) and lack of evidence. Sometimes, we experience the recurrence of perianal abscess and need to perform re-drainage even after starting 1st Bio. When the 1st bio fails, choosing an accurate 2nd Bio is difficult. The most severe result of this situation is rectal amputation. We wonder if any relationships between recurrence timing and long-term outcomes exist. We reviewed and aimed to know our institute’s perianal CD (pCD) treatment. Methods We retrospectively investigated patients' medical charts with pCD from 1988 to 2022 at Kenseikai Nara Coloproctology Center. We excluded the patients without using Bio or starting Bio after rectal amputation. The cases with missing values are excluded, too. We defined "early" as within two years and compared two cohorts, the early recurrence group (ER) and the no or late recurrence group (non-ER). We use the Kaplan-Meier method for calculating the time to fecal diversion. Results Eighty patients were recruited. The mean current age is 37.5 years old, and the onset of CD is 22.6 years old. The Perianal lesion’s onset is 24.5 years old. The male is 66, and 19 smokers are included. In this part, perianal lesion means only perianal abscess and fistula. Montreal Classification is shown in TABLE1. The Median follow-up duration was 142.5 months. We performed perianal surveillance (PS) for these patients, including EUA, Abscess Drainage, and seton placement, 3.1 times for each person. After the surgical interventions, we treat them with four Bio. After starting Bio, we experienced 33 early recurrences. We observed eight transient stoma creations, nine rectal amputations, and one anorectal cancer. Among them, we calculate the relationships between early recurrence and rectal amputation and find that early recurrence is a risk factor for permanent fecal diversion (HR 6.84 95%CI 1.48-31.7, p=0.0047 FIGURE1). We needed to switch the Bio for 31 patients during the observational period. To know which way of switching is effective for pCD, we calculate the relationships between the practice of switching and any treatment failure. Same class switching and changing MOA are not different for any treatment failure, which means re-abscess drainage and creation of any stoma (HR 0.40 95%CI 0.10-1.57 p=0.19). Conclusion Perianal abscess recurrence as we need to re-incision and drainage within two years after starting Bio treatment are related to permanent fecal diversion. We must pay attention to such kinds of patients, but the types of Bio we change didn’t affect any treatment failure. Further studies are needed in this field.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".