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Record W3018594003 · doi:10.14740/gr1240

Outcomes of <i>Clostridioides difficile</i> Infection in Patients With Liver Cirrhosis: A Nationwide Study

2020· article· en· W3018594003 on OpenAlexvenueno aff
Abubaker Abdalla, Sailaja Pisipati, Mohamed Elnaggar, Mohit Rishi, Rajkumar Doshi, Nageshwara Gullapalli

Bibliographic record

VenueGastroenterology Research · 2020
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCirrhosisClostridioidesOdds ratioInternal medicineHealthcare Cost and Utilization ProjectConfidence intervalLiver diseaseDiabetes mellitusAlcoholic liver diseaseRetrospective cohort studyIntensive care medicineEmergency medicineHealth care

Abstract

fetched live from OpenAlex

BACKGROUND: infection (CDI) is a major health problem that has been on the rise for the last couple of decades. It has significant mortality and morbidity in hospitalized patients. We looked at the outcomes of CDI in patients with liver cirrhosis compared to those without liver cirrhosis. METHODS: We conducted a retrospective study from a large inpatient database. The National Inpatient Sample (NIS) was queried for CDI admissions between January 2012 and September 2015. Patients admitted with CDI were identified using the International Classification of Diseases, Ninth Revision, Clinical Modification codes. The outcomes included overall mortality, length of hospitalization, and healthcare expenditure related to hospitalization. RESULTS: Out of all patients, 53,765 (3.97%) had concurrent CDI and liver cirrhosis. Diabetes mellitus, alcohol abuse, and acquired immunodeficiency were observed more in patients with liver cirrhosis. Overall mortality (adjusted odds ratio (aOR) 1.65, 95% confidence interval (CI) 1.53 - 1.77, P < 0.001), cost of hospitalization and length of hospital stay (11.0 vs. 10.4 days, P < 0.001) were significantly higher in patients with cirrhosis. CONCLUSIONS: Patients with CDI and liver cirrhosis have significantly higher mortality, prolonged hospitalization and healthcare expenditure. Further studies are recommended to look at reversible risk factors for CDI in patients with liver cirrhosis to guide quality measures that would ultimately improve outcomes.

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)0.001
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 score0.010
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.325
Teacher spread0.278 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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