Severe Gastrointestinal Bleeding in a Patient With Subvalvular Aortic Stenosis Treated With Thalidomide and Octreotide: Bridging to Transcoronary Ablation of Septal Hypertrophy
Bibliographic record
Abstract
Gastrointestinal bleeding (GB) due to angiodysplasias can cause severe, recurrent bleeding, especially in elderly patients. Angiodysplastic bleedings in the gastrointestinal tract have been associated with aortic stenosis and, more recently, hypertrophic obstructive cardiomyopathy, caused by an acquired coagulopathy known as Heyde's syndrome. Multiple factors are involved in the pathogenesis of angiodysplastic bleeding including genetic factors and increased levels of vascular intestinal growth factor at tissue levels. Endoscopic coagulation therapy is the primary treatment but often fails to resolve bleeding, especially in patients with large numbers of angiodysplasias. In patients with aortic stenosis and GB, the main treatment is aortic valve replacement but the patients may be unfit to undergo surgery due to the complicating anemia. In this case story, we present a patient with severe, GB due to hypertrophic subvalvular obstructive cardiomyopathy. Endoscopic procedures with argon beaming were performed without effect on bleeding. The patient was treated with a combination of both thalidomide and octreotide. Within 3 months, the patient recovered from the anemia and was able to undergo transcoronary ethanol ablation. No further bleeding episodes occurred, and thalidomide and octreotide were arrested. To our knowledge, this case report is the first to describe how this new drug combination therapy is an effective treatment of GB from angiodysplasias and can be used to bridge to surgical or endovascular treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".