Death due to delirium: a case of a self-cut hemodialysis dialysis catheter - a case report
Bibliographic record
Abstract
BACKGROUND: Neuropsychiatric conditions such as depression, delirium and cognitive impairment are common in patients with end-stage kidney disease (ESKD) and individuals suffering from ESKD are more likely to commit suicide than members of the general population. Self-harm gestures are not infrequent for ESKD patients suffering from depression, but not well described in other conditions. CASE PRESENTATION: We present a case of self-harm in a patient with ESKD suffering from acute delirium. A man in his mid-seventies was admitted with fungal peritoneal dialysis (PD) associated peritonitis. On the first day post operatively, he was found with absent vital signs due to exsanguination from newly inserted central catheter which he which had self-severed. He died a few days later as a result of the self-harm gesture. CONCLUSION: This case highlights that delirium may lead to self-harm events in ESKD and identifies a few strategies to help reduce the risk of self-harm events.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".