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Record W3021993706 · doi:10.1210/jendso/bvaa046.560

SUN-557 Hypertriglyceridemia-Induced Pancreatitis: Experience from a Quaternary Care Center

2020· article· en· W3021993706 on OpenAlexaff
Sarah Béland‐Bonenfant, Martine Paquette, Alexis Baass, Sophie Bernard

Bibliographic record

VenueJournal of the Endocrine Society · 2020
Typearticle
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsMcGill UniversityMontreal Clinical Research InstituteUniversité de Montréal
Fundersnot available
KeywordsHypertriglyceridemiaAcute pancreatitisMedicinePancreatitisGastroenterologyInternal medicineLipoprotein lipasePediatricsTriglycerideCholesterol

Abstract

fetched live from OpenAlex

Abstract Severe hypertriglyceridemia is defined by triglycerides levels reaching 11,3 mmol/L (1000 mg/dL) or when chylomicrons are present in the circulation (1). Severe hypertriglyceridemia increases the risk of acute pancreatitis, a serious complication that can be recurrent and fatal. Severe hypertriglyceridemia is most often caused by an underlying primary chylomicronemia disease, either monogenic of multifactorial. Familial chylomicronemia syndrome is a rare autosomal recessive disease that can result from mutations in lipoprotein lipase in more than 90% of cases. Multifactorial chylomicronemia is an oligogenic or polygenic disorder characterized by a reduction in lipoprotein lipase activity. Primary chylomicronemia should be managed in a specialized lipid clinic before acute pancreatitis occur. However, primary chylomicronemia is underdiagnosed (2). This is why hospitalization for an acute episode of hypertriglyceridemia-induced pancreatitis is a window of opportunity to investigate these patients. The first objective of our study was to investigate retrospectively the quality of the follow-up of patients hospitalized for hypertriglyceridemia-induced acute pancreatitis, specifically looking at specialized lipid clinic referrals. The second objective was to correlate triglyceride (TG) levels with severity of the pancreatitis. A total of 1063 patients were hospitalized for acute pancreatitis at our center between 2012 and 2019. Twenty-five patients (2.35%) were diagnosed with hypertriglyceridemia-induced pancreatitis. Of those 25 patients, one died of pancreatitis complications, two were already diagnosed with primary chylomicronemia, and of the remaining twenty-two, 11 (50%) had a referral for an evaluation at a specialized lipid clinic. Those referrals resulted in three diagnoses of primary chylomicronemia, with a multidisciplinary follow-up. Regarding severity of pancreatitis, TG levels were positively correlated with patients being hospitalized in the intensive care unit (ICU) and also having longer stays in the ICU. Only half of patients hospitalized for a hypertriglyceridemia-induced pancreatitis at our center had a referral for lipid disorder evaluation upon hospital discharge. We believe it is important to raise awareness concerning primary chylomicronemia to avoid recurrent acute pancreatitis preceding diagnosis, seeing this pathology increases morbidity and mortality. 1. Valdivielso et al. Eur J Intern Med. 2014;25(8):689-94. 2. Brown et al. J Clin Lipidol. 2018;12(2):254-263.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.277
Teacher spread0.252 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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