Exercised-Induced Ischemic Colitis in a Recreational Athlete Previously Attributed to Inflammatory Bowel Disease
Bibliographic record
Abstract
Ischemic colitis traditionally presents in older patients, many whom have underlying atherosclerotic disease. Although symptoms may be transient and resolve spontaneously, serious complications may develop including stricture formation, bowel perforation, sepsis, or death. Recently, otherwise healthy athletes have been reported to develop ischemic colitis during or following strenuous, prolonged exercise. Here we describe a unique case in which a recreational athlete previously diagnosed with Crohn’s disease ten years prior presented with diarrhea and hematochezia attributed to an acute flare of her inflammatory bowel disease. Thorough review of her history, physical examination, laboratory, radiographic, and endoscopic evaluations revealed that her presenting symptoms were secondary to exercise-induced ischemic colitis. Moreover, her evaluation suggested that her prior diagnosis of Crohn’s disease was incorrect and that her previous Crohn’s flares were likely secondary to intermittent bouts of ischemic colitis. This case highlights the importance of recognizing the diagnosis of ischemic colitis in an atypical host, but one in which the disease prevalence is likely to increase as more individuals participate in recreational endurance activities. J Med Cases. 2012;3(6):379-382 doi: https://doi.org/10.4021/jmc839w
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".