The use of alternative anti-coagulation strategies for a nocturnal home hemodialysis patient with heparin-induced thrombocytopenia.
Bibliographic record
Abstract
Heparin-induced thrombocytopenia (HIT) is a potentially catastrophic hyercoagulable state. The prevalence of HIT in individuals doing nocturnal home hemodialysis (NHD) is unknown and the appropriate treatment protocol has yet to be determined. The objective is to describe the clinical course and treatment plan ofa patient who developed HIT while undergoing NHD. A 49-year-old man with a past history of end stage renal disease (ESRD) of unknown etiology was initiated on NHD in February 2005. His clinical and biochemical parameters improved after conversion to NHD. However, excessive bleeding at the vascular access sites complicated his treatments. Clinical investigations revealed development of HIT Alternative therapeutic strategies were attempted to enable our patient to continue NHD: unfractionated heparin, citrated regional anticoagulation, Danaparoid, and Argatroban. In conclusion, NHD patients with HIT pose a specific clinical challenge. We speculate that the augmented exposure of heparin coupled with a primed autoimmune response may be responsible for the development of HIT in our patient. Further research is required to elucidate the appropriate clinical monitoring and treatment strategy for this patient.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".