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Record W4323351321 · doi:10.1093/jcag/gwac036.291

A291 CLINICAL OUTCOMES IN PATIENTS WITH MODERATE TO SEVERE PANCREATITIS AND PANCREATIC COLLECTIONS: A RETROSPECTIVE COHORT STUDY

2023· article· en· W4323351321 on OpenAlexaffabout
A Kundra, Paul Mundra, Sriyathavan Srichandramohan, C Sypkes, Natalia Causada Calo

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsUniversity of British ColumbiaMcMaster UniversityUniversity of Ottawa
Fundersnot available
KeywordsMedicineRetrospective cohort studyPercutaneousAcute pancreatitisPancreatitisEndoscopic ultrasoundLogistic regressionCohortIntensive care unitInternal medicineSurgeryGeneral surgery

Abstract

fetched live from OpenAlex

Abstract Background Necrotizing pancreatitis occurs in approximately 20% of patients with pancreatitis and is associated with significant morbidity and mortality. Drainage of pancreatic collections is critical when there is associated infection but is also indicated in patients with biliary or gastric outlet obstruction or symptoms. Drainage strategies include percutaneous, endoscopic ultrasound (EUS) guided, and surgical. Data suggests that a step-up approach starting with EUS or percutaneous drainage is associated with lower mortality and morbidity at 3-6 months in comparison to surgery. Little is known about risk factors for pancreatic necrosis and long-term outcomes in patients with pancreatic collections, specifically those with necrotic collections. Purpose To improve knowledge about risk factors and long-term outcomes in patients with pancreatic collections. The primary objective was to compare mortality between patients with and without early necrotic collections. Secondary outcomes included ICU stay, recurrent collections and repeated interventions during follow-up. Method This was a retrospective cohort study of consecutive adults (> 18 years) with moderate to severe acute pancreatitis as per the Atlanta Criteria, admitted to a tertiary care centre in Ontario between January 2002 and January 2019 with radiological evidence of early pancreatic collections. Patients were identified using administrative codes and imaging reports from the Hospital’s data warehouse. Descriptive statistics were used. Comparisons between groups were made with chi-square and logistic regression for categorical variables. Result(s) 723 patients were identified and 276 were included in this report. The mean age was 54.5 years (SD 16) and 109 (39.5%) were females. The most common comorbidities were diabetes (33.3%), hypertension (38.4%) and obesity (14.8%). The most common pancreatitis etiologies were biliary (34.4%) alcohol misuse (17.0%) and post-ERCP pancreatitis (7.1%). Eighty-five (30.8%) patients were diagnosed with early necrotic collections and 53 (19.2%) with peri-pancreatic fluid collections during the initial 30 days of follow-up. Drainage was performed in 100 (36.2%) patients. Patients with necrotic collections were most likely to be obese (29.4% vs. 8.4%, P <0.001), have biliary pancreatitis (50.6% vs. 27.2%), require drainage of the collection (63.5% vs. 24.1%, P < 0.001), ICU stay (62.3% vs. 33.5%, P <0.001) and develop new collections during follow up (0% vs. 20.1%, P=0.04). Sixty-one (22.1%) patients died during a median follow up of 727 days (IQR 87-2042) and there were no differences between subgroups. Conclusion(s) Patients with pancreatic necrotic collections seem to have a more severe clinical course requiring ICU stay and interventions for drainage of the collection(s). Necrotic collections are more commonly seen in patient with biliary pancreatitis and obesity. No all-cause mortality differences were seen between groups during follow up. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.263
Teacher spread0.253 · 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 designObservational
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
Published2023
Admission routes2
Has abstractyes

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