Dialysis Disequilibrium Syndrome and other treatment complications of extreme uremia: A rare occurrence yet not vanished
Bibliographic record
Abstract
Severe uremia is now a rare occurrence in most developed nations, and yet is still present in many countries of the world. It includes clinical manifestations such as calciphylaxis and uremic frost, which are now rarely seen. Patients with extremely high levels of blood urea nitrogen (above 175 mg/dL) are at a higher risk of experiencing first-time hemodialysis-related complications, in particular dialysis disequilibrium syndrome (DDS). DDS is a central nervous disorder characterized by a wide variety of neurological symptoms that range from nausea and vomiting to even death due to cerebral edema. There are 2 main theories to explain its pathophysiology: the reverse urea effect, which considers that the shift of urea between brain intracellular space and plasma is not immediate, causing a higher concentration of urea within the brain and leading to cerebral edema. The second theory considers that after hemodialysis, patients have transient paradoxical metabolic acidosis within the central nervous system, displacing Na(+) and K(+) from organic anions, making them osmotically active and again leading to cerebral edema. The main goal is to prevent the occurrence of DDS, for which there are several proposed measures including continuous renal replacement therapies. Once established, treatment should be focused on supportive therapy. Another uncommon phenomenon described in patients who initiate hemodialysis is transient pulmonary leukocyte margination, which in conjunction with an inflammatory milieu, may lead to non-cardiogenic pulmonary edema. We present the case of a young adult with severe uremia who, despite application of recommended measures, developed DDS and non-cardiogenic pulmonary edema.
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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) | 0.001 | 0.000 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".