Hypertriglyceridemia induced acute pancreatitis and efficacy of therapeutic plasma exchange
Bibliographic record
Abstract
Acute pancreatitis is a condition in which the pancreas becomes inflamed suddenly within a short period of time. Typically, this condition lasts less than 6 weeks, with most cases resolving within 1-2 weeks. The major causes of acute pancreatitis are ethanol, gallstones, and hypertriglyceridemia. Acute pancreatitis that is caused by hypertriglyceridemia can be severe and life-threatening. Compared to other causes of pancreatitis, studies have shown that the acute pancreatitis induced by hypertriglyceridemia is more serious and can lead to recurrent episodes of pancreatitis, eventually leading to chronic pancreatitis. Here, we report a clinical experience with a patient of high triglyceride induced pancreatitis. He was treated with two sessions of Therapeutic Plasma exchange along with intravenous insulin, statins, and fibrates. In recent times, plasmapheresis has been used to treat severe cases of hypertriglyceridemia-induced acute pancreatitis with success. Early initiation, along with appropriate supportive measures, may lead to favourable outcomes and reduce the risk of complications. However, further research is needed to determine the exact role and timing of plasmapheresis in managing acute pancreatitis caused by hypertriglyceridemia. Bangladesh Crit Care J March 2024; 12 (1): 58-61
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".