Hypertriglyceridemia-Induced Pancreatitis With Rapid Response to Insulin Therapy
Bibliographic record
Abstract
Acute pancreatitis (AP) is one of the most common gastrointestinal-related causes of hospitalization in the USA, accounting for more than 200,000 admissions annually. Although mild and moderate cases usually improve within a week, severe AP conditions could lead to life-threatening pancreatic necrosis, multiple-organ dysfunction, and be fatal in some cases. Excessive alcohol use and gallstones are the two leading causes, nonetheless other systemic complication could also lead to AP. Hypertriglyceridemia is an important, yet uncommon, cause/risk factor of AP, especially when associated with heavy alcohol use. Additionally, the level of triglycerides (TGs) was found to be an important factor of determining the method and duration of treatment. Here we present a case of 38-year-old obese and active smoker male with hypertension and alcohol use disorder presented with a chief complaint of 2 weeks of progressive sharp epigastric pain. His medical history was significant of opioid use disorder that is maintained on methadone therapy. Computed tomography (CT) scan of the abdomen and pelvis revealed infiltration of the fat along the pancreatic tail and distal body with focus of decreased enhancement in the very distal pancreatic tail, which could represent a small infarct or phlegmon. In addition, laboratory data was significant of elevated lipase level (> 1,000 mg/dL), which together with the CT result confirmed the diagnosis of AP. Additional laboratory workup revealed extremely high level of TGs of > 2,000 mg/dL. The patient was subsequently transferred to the intensive care unit for management of hypertriglyceridemia. He was started on insulin therapy along with supportive treatment for the management of pancreatitis. Hypertriglyceridemia and pancreatitis rapidly improved over the course of hospitalization period and no additional intervention was needed. He was successfully discharged on fenofibrate.
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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 | 0.000 | 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 | 0.002 |
| 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".