Pharmacological and Endoscopic Interventions for Prophylaxis of Post-Endoscopic Retrograde Cholangiopancreatography Pancreatitis
Bibliographic record
Abstract
Background: Post-endoscopic retrograde cholangiopancreatography pancreatitis (PEP) represents the most common serious complication after endoscopic retrograde cholangiopancreatography (ERCP). Rectal non-steroidal anti-inflammatory drugs (NSAIDs) and pancreatic duct stenting (PDS) are the prophylactic interventions with more evidence and efficacy; however, PEP still represents a significant source of morbidity, mortality, and economic burden. Chronic statin use has been proposed as a prophylactic method that could be cheap and relatively safe. However, the evidence is conflicting. We aimed to evaluate the impact of endoscopic and pharmacological interventions including chronic statin and aspirin use, on the development of PEP. Methods: A retrospective cohort study evaluated consecutive patients undergoing ERCP at John H. Stroger, Jr. Hospital of Cook County in Chicago from January 2015 to March 2018. Univariate and multivariate analyses were performed using logistic regression. Results: A total of 681 ERCPs were included in the study. Twelve (1.76%) developed PEP. Univariate, multivariate, and subgroup analyses did not show any association between chronic statin or aspirin use and PEP. PDS and rectal indomethacin were protective in patients undergoing pancreatic duct injection. Pancreatic duct injection, female sex, and younger age were associated with a higher risk. History of papillotomy was associated with lower risk only in the univariate analysis (all P values < 0.05). Conclusion: Chronic use of statins and aspirin appears to add no additional benefit to prevent ERCP pancreatitis. Rectal NSAIDs, and PDS after appropriate patient selection continue to be the main prophylactic measures. The lower incidence at our center compared with the reported data can be explained by the high rates of rectal indomethacin and PDS, the use of noninvasive diagnostic modalities for patient selection, and the expertise of the endoscopists.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".