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Record W4291972499 · doi:10.1097/ta.0000000000003765

Diagnosis and management of bile leaks after severe liver injury: A Trauma Association of Canada multicenter study

2022· article· en· W4291972499 on OpenAlexaffabout
Morgan Schellenberg, Chad G. Ball, Natthida Owattanapanich, Brent Emigh, Patrick B. Murphy, Bradley Moffat, Brett Mador, Andrew Beckett, Jennie Lee, Émilie Joos, Samuel Minor, Matt Strickland, Kenji Inaba

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2022
Typearticle
Languageen
FieldMedicine
TopicAbdominal Trauma and Injuries
Canadian institutionsMcMaster UniversityMining Association of CanadaRoyal Alexandra HospitalUniversity of Alberta HospitalUniversity of CalgaryVancouver General HospitalFoothills Medical CentreLondon Health Sciences CentreDalhousie UniversityUniversity of TorontoUniversity of British ColumbiaHamilton General HospitalSt. Michael's Hospital
Fundersnot available
KeywordsMedicineEndoscopic retrograde cholangiopancreatographyLiver injuryPercutaneousRetrospective cohort studyDemographicsSurgeryBile leakInternal medicineComplication

Abstract

fetched live from OpenAlex

BACKGROUND: Optimal management of bile leaks (BLs) after severe liver injury is unknown. Study objectives were to define current practices in diagnosis and management of BL to determine which patients may benefit from endoscopic retrograde cholangiopancreatography (ERCP). METHODS: American Association for the Surgery of Trauma grade ≥III liver injuries from 10 North American trauma centers were included in this retrospective study (February 2011 to January 2021). Groups were defined as patients who developed BL versus those who did not. Subgroup analysis of BL patients was performed by management strategy. Bivariate analysis compared demographics, clinical/injury data, and outcomes. Receiver operating characteristic curves were performed to investigate the relationship between bilious drain output and ERCP. RESULTS: A total of 2,225 patients with severe liver injury met the study criteria, with 108 BLs (5%). Bile leak patients had higher American Association for the Surgery of Trauma grade of liver injury ( p < 0.001) and were more likely to have been managed operatively from the outset (69% vs. 25%, p < 0.001). Bile leak was typically diagnosed on hospital day 6 [4-10] via surgical drain output (n = 37 [39%]) and computed tomography scan (n = 34 [36%]). On the BL diagnosis day, drain output was 270 [125-555] mL. Endoscopic retrograde cholangiopancreatography was the most frequent management strategy (n = 59 [55%]), although 32 patients (30%) were managed with external drains alone. Bile leak patients who underwent ERCP, surgery, or percutaneous transhepatic biliary drain had higher drain output than BL patients who were managed with external drains alone (320 [180-720] vs. 138 [85-330] mL, p = 0.010). Receiver operating characteristic curve analysis of BL demonstrated moderate accuracy (area under the receiver operating characteristic curve, 0.636) for ERCP at a cutoff point of 390 mL of bilious output on the day of diagnosis. CONCLUSION: Patients with BL >300 to 400 mL were most likely to undergo ERCP, percutaneous transhepatic biliary drain, or surgical management. Once external drainage of BL has been established, we recommend ERCP be reserved for patients with BL >300 mL of daily output. Prospective multicenter examination will be required to validate these retrospective data. LEVEL OF EVIDENCE: Therapeutic and Care Management; Level IV.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.026
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.283
Teacher spread0.271 · 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 teacher head, 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".

Quick stats

Citations8
Published2022
Admission routes2
Has abstractyes

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