Bibliographic record
Abstract
Fludrocortisone for Heparin-Induced HyperkalemiaHeparin, which continues to be used widely for prophylaxis and treatment of thromboembolism, is associated with a risk of hyperkalemia. 1 Clinicians should be aware of strategies to address heparin-induced hyperkalemia.The following account supports the utility of fludrocortisone in normalizing renal processing of potassium during heparin therapy.A patient* was transferred from a peripheral community hospital for syncope associated with complete heart block (heart rate 39-45/min).On the evening of admission, intubation and mechanical ventilation were required for hypercapnic respiratory failure.A permanent pacemaker was inserted the next morning, which increased the patient's heart rate and improved signs of perfusion to the vital organs (kidney, brain, and skin).Elevated serum creatinine at the time of admission was thought to be a sign of impaired renal perfusion secondary to the heart block.Given the patient's body habitus, weaning from mechanical ventilation was prolonged, but extubation to biphasic positive airway pressure (BiPAP) via a face mask was successful on day 12 of the admission.During the weaning process, renal function improved, as indicated by declining concentrations of serum creatinine (Figure 1).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".