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P: 16 Traditional Prognostic Tools are Superior to Cognitive Testing and Stool Frequency as Predictors of Poor Outcomes in Cirrhotic Patients Admitted with Hepatic Encephalopathy

2019· article· en· W2972295525 on OpenAlexaboutno aff
Patricia P. Bloom

Bibliographic record

VenueThe American Journal of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsHepatic encephalopathyMedicineInternal medicineGastroenterologyCognitionCognitive testIntensive care medicineCirrhosisPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Model for end-stage liver disease-sodium (MELD-Na) score and extrahepatic organ failures (EHOFs) predict poor outcomes in cirrhotic patients, including those with hepatic encephalopathy (HE); however, there is a need for the development of additional and specific predictors for outcomes in HE. We aimed to determine if cognitive testing, total daily lactulose dose (TDLD), and stool frequency at hospital discharge predicts readmission and other poor outcomes in patients admitted with overt HE. METHODS: We performed a prospective study of patients admitted to a single transplant center with overt HE. When the primary team anticipated discharge within 48 hours, consented subjects underwent Psychometric HE Score (PHES), Montreal Cognitive Assessment (MOCA), liver frailty index (LFI), and stool frequency assessment. MELD-Na, EHOFs, and other clinical variables were assessed via chart review. At 30 days post-discharge, subjects were called to evaluate for a composite primary outcome of HE readmission, transition to hospice, liver transplantation, or death. T-test or chi-square test compared predictors between those who did and did not meet the primary endpoint. RESULTS: Of 175 potential candidates, 52 patients provided informed consent and enrolled, with the majority (82) of patients excluded for discharge, death, transplant, or transfer to hospice before enrollment could be performed. Within 30 days, 7 patients had a readmission for HE, and 11 died, were transplanted or transferred to hospice. Seventeen patients met the primary composite endpoint. MELD-Na (28.1 ± 8.0 vs. 22.0 ± 6.0, P = .01) and the number of EHOFs (1.3 ± 1.3 vs. 0.5 ± 0.8, P = 0.03) were higher in patients who met the primary composite outcome. Most predictors did not vary between those who met and did not meet the primary endpoint, including MOCA score ( P = 0.73), PHES ( P = 0.97), stool frequency ( P = 0.34), total daily lactulose dose ( P = 0.80), LFI ( P = 0.57), admission ammonia ( P = 0.58), or being discharged on rifaximin ( P = 0.70). Stool frequency at discharge did not correlate with PHES ( P = 0.71) or MOCA score ( P = 0.51). CONCLUSIONS: Traditional prognostic tools in cirrhosis, including MELD-Na and EHOF, were superior to cognitive assessments, total daily lactulose dose, and stool frequency in predicting 30-day outcomes for those admitted with overt HE. Future studies should evaluate MELD-Na and the presence of EHOFs as determinants of discharge readiness or discharge destination in patients admitted with cirrhosis and HE.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.013
GPT teacher head0.228
Teacher spread0.216 · 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
Published2019
Admission routes1
Has abstractyes

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