S3910 Case Report of Paroxysmal Nocturnal Hemoglobinuria and Small Intestinal Ulcers: A Rare Finding With Common GI Symptoms
Bibliographic record
Abstract
Introduction: A patient with PNH who developed multiple jejunal ulcers is presented with a focus on elucidating the potential factors in her pathophysiology. PNH is a rare condition with complement-mediated cell damage that results in intravascular thrombosis, hemolysis and bone marrow failure. Although PNH is primarily known for its hematological manifestations, it can impact other organs, including the GI tract. Case Description/Methods: A 39-year-old woman recently diagnosed with PNH presented to the GI clinic with sever episodic abdominal pain with radiological evidence of thickened proximal jejunum. One month earlier, PNH was diagnosed, based on flow cytometry findings. Labs also revealed pancytopenia, progressive for about 6 months with most recent hemoglobin of 88 mmol/L, with macrocytosis. The patient's platelets were 58 g/L and white blood cell count 2.7 g/L with a neutrophil count of 1.0 g/L. Reticulocyte counts and LDH were elevated, with no evidence of hemolysis including a negative DAT and normal bilirubin. She reports a recurrent crampy abdominal pain every 2 weeks associated with diarrhea. She also has shortness of breath on minimal exertion and fatigue affecting her daily activities. She had multiple visits to the emergency department with abdominal pain, which became more frequent, severe and not abated with ibuprofen. She had a CT scan that revealed proximal jejunum thickening and was referred to GI to consider further evaluation with endoscopy. Her enteroscopy revealed multiple small, discrete ulceration 40 cm into the jejunum which biopsy confirm non-specific acute inflammation. She was managed with NSAID restrictions, eculizumab and transfusions as needed. Discussion: The etiology of gastric ulcers in PNH is not well understood, but many factors including thrombosis, anemia and medications could be important. Activation of the complement system can lead to endothelial damage, subsequent ischemia, and ulcers. Chronic anemia can lead to decreased oxygen supply to the stomach lining, making it more susceptible to injury and ulceration. Anticoagulation to prevent thrombotic events and pain management with NSAIDs can also increase risks of bleeding and ulceration. Treatment options include blood transfusions, iron supplementation, and targeted therapy such as eculizumab, which inhibits the complement system. To manage GI ulcers, proton pump inhibitors (PPIs) or H2 blockers may also be prescribed.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".