A203 PAVING THE WAY TO THE DUODENUM: A CASE REPORT OF DUODENAL TUBERCULOSIS
Bibliographic record
Abstract
Abstract Background Duodenal tuberculosis (DTB) is an uncommon manifestation of tuberculosis (TB), representing only 0.5% of all TB cases. The nonspecific features of its clinical presentation make diagnosis challenging, which can lead to delayed identification and even inappropriate treatments. Further, the location is also difficult to reach on conventional endoscopy and there are few studies on the use of balloon enteroscopy to diagnose DTB. Aims We report a case of DTB diagnosed using balloon enteroscopy that was successfully treated with symptom resolution. We also highlight uncommon features of DTB, including cobblestoning seen on endoscopy and villous blunting with duodenal lymphocytosis seen on histopathology. Methods Case report Results A 30-year-old previously healthy male returning from India 16 months prior presented to the emergency department with 1 month of abdominal distension, non-bloody diarrhea, and night-sweats. Examination was notable for fever and a distended abdomen. Computed-tomography showed thickening of the jejunum and ileum, with omental fat-stranding and intra-abdominal lymphadenopathy. As the lesion appeared out of reach for conventional endoscopy, balloon enteroscopy was performed, revealing an area of cobblestoning in the duodenum. Acid-fast bacilli (AFB) staining was negative. While TB culture was pending, a second balloon enteroscopy was performed, with AFB staining negative on repeat biopsy. Pathology showed villous blunting and increased intraepithelial lymphocytes but was negative for granulomas. As the diagnosis remained uncertain, endoscopic ultrasound-guided lymph node biopsy was performed and multiple lymph nodes were seen in the gastro-hepatic area. Lymph node biopsy AFB staining was also negative. 4 weeks later, pathology from the first balloon enteroscopy returned positive for TB. The remaining biopsy cultures were negative for TB. The patient was treated with standard of care treatment. At 2 and 4 months of follow-up, he reported complete resolution of symptoms. Conclusions The diagnosis of DTB is challenging due its non-specific presentation and rarity. Our case highlights the difficulty of diagnosis as endoscopic findings such as cobblestoning are highly uncommon. We provide support for the use of balloon enteroscopy as a novel method for diagnosis of DTB. With early identification, we were able to provide appropriate therapy and prevent propagation of the disease. Funding Agencies None
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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 | 0.002 |
| 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".