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Record W2082410952 · doi:10.1097/ccm.0b013e3181b42a1c

Bacteremia, Acute Physiology and Chronic Health Evaluation II and Modified End Stage Liver Disease are independent predictors of mortality in critically ill nontransplanted patients with acute on chronic liver failure

2009· article· en· W2082410952 on OpenAlexaff
Constantine Karvellas, Fred Pink, Mark McPhail, Mark Austin, Georg Auzinger, William Bernal, Elizabeth Sizer, Demetrios J. Kutsogiannis, Ian Eltringham, Julia Wendon

Bibliographic record

VenueCritical Care Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsUniversity of Alberta
FundersNational Institute for Health and Care Research
KeywordsMedicineBacteremiaInternal medicineChronic liver diseaseAPACHE IIHepatic encephalopathyIntensive care unitLiver diseaseGlasgow Coma ScaleRenal replacement therapyIntensive care medicineGastroenterologySurgeryCirrhosisAntibiotics

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine what physiological and biochemical factors predict development of bacteremia in nontransplanted patients with acute on chronic liver failure and, on diagnosis of bacteremia, what is the natural history of bacteremic patients versus control subjects (acute on chronic liver failure). INTERVENTIONS: None. DESIGN: Retrospective analysis of data collected prospectively and entered into a dedicated physiology database. SETTING: Specialist liver intensive therapy unit. PATIENTS: Critically ill non-transplanted patients with acute on chronic liver failure admitted between January 2003 and July 2005. MEASUREMENTS AND MAIN RESULTS: One hundred eighty-four patients were defined with acute on chronic liver failure; 67 (36%) had bacteremia. One hundred seventeen (64%) patients did not (acute on chronic liver failure). Fifty-eight percent of isolates were Gram-negative organisms, 36% were Gram-positives, and 6% fungemia. Median time to first bacteremia was 8 days (range, 3-12 days). On admission (univariate), bacteremic patients had significantly higher Modified End Stage Liver Disease scores (27 vs. 24, p = .037), Acute Physiology and Chronic Health Evaluation II scores (23 vs. 21, p = .049), and greater degrees of encephalopathy (Glasgow Coma Scale score 10 vs. 12, p = .001). During their liver intensive therapy unit course, bacteremic patients had significantly greater requirements for renal replacement therapy (64% vs. 49%, p = .043), mechanical ventilation (88% vs. 68%, p = .002), and a longer median liver intensive therapy unit stay (16 vs. 5 days, p < .001). Survival to hospital discharge was worse in the bacteremic group (25% vs. 56%, p < .001). Multivariate analysis (logistic regression) was performed separately modeling with Acute Physiology and Chronic Health Evaluation II and Modified End Stage Liver Disease. In the first model, Acute Physiology and Chronic Health Evaluation II (odds ratio 1.24) and bacteremia (2.24) were independent predictors of mortality. In the later model, Modified End Stage Liver Disease (odds ratio, 1.06), requirement for renal replacement therapy (3.08), Glasgow Coma Scale (0.72), and bacteremia (2.30) were significant. Both models performed similarly (Modified End Stage Liver Disease area under the receiver operating characteristic curve, 0.864; Acute Physiology and Chronic Health Evaluation II, 0.862). CONCLUSIONS: In nontransplanted patients with acute on chronic liver failure, bacteremia was associated with increased severity of illness on admission, greater requirements for organ support, and independently adversely impacted on survival. Higher Acute Physiology and Chronic Health Evaluation II and Modified End Stage Liver Disease scores were also independently predictive of mortality.

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)0.000
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 score0.063
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.015
GPT teacher head0.300
Teacher spread0.285 · 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

Citations89
Published2009
Admission routes1
Has abstractyes

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