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Record W1965573708 · doi:10.1002/jca.1030

Plasmapheresis in the treatment of an acute pancreatitis due to protease inhibitor‐induced hypertriglyceridemia

2001· article· en· W1965573708 on OpenAlexaff
Jean‐Pierre Routy, Graham Smith, David W. Blank, Brian M. Gilfix

Bibliographic record

VenueJournal of Clinical Apheresis · 2001
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsHypertriglyceridemiaMedicineAcute pancreatitisPancreatitisRitonavirPlasmapheresisHyperlipidemiaGastroenterologyLipodystrophyInternal medicineNauseaAbdominal painSurgeryEndocrinologyHuman immunodeficiency virus (HIV)CholesterolDiabetes mellitusTriglycerideImmunologyViral load

Abstract

fetched live from OpenAlex

The use of protease inhibitors such as ritonavir to treat HIV-infected individuals has been associated with lipodystrophy, combined hyperlipidemias, and hypertriglyceridemia-induced pancreatitis. We report here on the treatment by plasmapheresis of a HIV-patient who presented with a rapid onset of severe ritonavir-induced hypertriglyceridemia complicated with an acute pancreatitis. A 35-year-old HIV-1 positive male following 3 weeks of ritonavir treatment presented with nausea, abdominal pain, a distended abdomen, and the following laboratory values: amylase (238 U/L), lipase (864 U/L), total cholesterol (27.1 mmol/L), and triglycerides (62.9 mmol/L). Following two plasmaphereses, the levels of total cholesterol, triglycerides, lipase, and amylase declined drastically and the patient was discharged home after 4 days with lipid and pancreatic enzyme levels within the reference range. To our knowledge, this is the first case of pancreatitis due to a PI-induced hyperlipidemia in a HIV-patient treated with plasmapheresis in an acute setting.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.075
GPT teacher head0.419
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations37
Published2001
Admission routes1
Has abstractyes

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