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Record W4212923409 · doi:10.1093/jcag/gwab049.224

A225 VACCINE-PREVENTABLE DISEASES IN HOSPITALIZED PATIENTS WITH END-STAGE LIVER DISEASE/CIRRHOSIS: A NATIONWIDE COHORT ANALYSIS

2022· article· en· W4212923409 on OpenAlexaff
Darren Hudson, Reena Khanna, Mayur Brahmania, Karim Qumosani, Anouar Teriaky

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldMedicine
TopicHepatitis Viruses Studies and Epidemiology
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineCirrhosisInternal medicineOdds ratioHepatitis BLiver diseaseGastroenterologyUnivariate analysisPneumoniaCohortMultivariate analysis

Abstract

fetched live from OpenAlex

Abstract Background Cirrhosis is associated with immune dysfunction, which increases susceptibility to infection and subsequent hospitalization. Vaccination of this high-risk patient population can mitigate the risk of infection. Aims Data from the National Inpatient Sample (NIS) was analyzed to compare the prevalence of vaccine-preventable diseases (VPD) among hospitalized patients both with and without cirrhosis. Methods The 2013 NIS database was interrogated using ICD-9-CM codes to identify patients with cirrhosis and VPD. Baseline characteristics were compared (see: Table 1). Univariate and multivariate regression models identified risks associated with VPD adjusting for survey procedures. Results 313,710 patients were hospitalized for VPD, including 13,080 patients (4.1%) with cirrhosis (see: Table 1) Patients with cirrhosis were more likely to be hospitalized with pneumococcal pneumonia (odds ratio [OR] = 1.45 [95% CI 1.29 – 1.63], P <0.001), hepatitis A (OR = 7.04 [95% CI 5.96 – 8.31], P <0.001) and hepatitis B (OR = 14.41 [95% CI 12.53 – 14.36], P <0.001) infections compared to patients without liver cirrhosis. Patients with cirrhosis were less likely to have an infection with influenza (OR = 0.55 [95% CI 0.49 – 0.62], P <0.001), human papillomavirus (HPV) (OR = 0.57 [95% CI 0.43 – 0.75, P < 0.001) and varicella zoster (OR = 0.78 [95% CI 0.69 – 0.89], P <0.001). Minimal differences in hospitalizations for haemophilus influenzae or meningococcal infections were noted between groups. Odds ratios for VPD adjusting for age, sex, race, patient location, patient income, hospital type and bed-size, mortality risk, type 2 diabetes mellitus, malignancy, human immunodeficiency virus (HIV), organ transplantation and immunodeficiency: pneumococcal pneumonia (OR = 1.27 [95% CI 1.13 – 1.44], P < 0.001), hepatitis A (OR = 5.99 [95% CI 5.02 – 7.15], P < 0.001); and hepatitis B (OR = 11.07 [95% CI 10.24 – 11.97], P < 0.001). Conclusions These results emphasize the importance of vaccinating patients with cirrhosis against pneumococcal pneumonia, hepatitis A and hepatitis B infections to reduce hospitalization Table 1: Baseline characteristics of patients with cirrhosis and without cirrhosis presenting with a vaccine preventable disease. Funding Agencies None

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)0.002
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 score0.975
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.006
GPT teacher head0.223
Teacher spread0.217 · 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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Citations1
Published2022
Admission routes1
Has abstractyes

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