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Record W2299559776 · doi:10.6227/jfda.2012200302

Risk for hospital-acquired pneumonia from proton pump inhibitor or sucralfate in intensive care units

2012· article· en· W2299559776 on OpenAlexaff
Li Lin, Li Wei Chen, Yu Chin Liu, Kuang‐Hung Hsu, Chong Yu Hsieh, Hsiang‐Yin Chen

Bibliographic record

VenueJournal of Food and Drug Analysis · 2012
Typearticle
Languageen
FieldMedicine
TopicNosocomial Infections in ICU
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsSucralfateMedicineInternal medicineStress ulcerPneumoniaOdds ratioRetrospective cohort studyProton-pump inhibitorIntensive carePropensity score matchingCohort studyCohortIntensive care medicine

Abstract

fetched live from OpenAlex

The increased risk of pneumonia from proton pump inhibitors (PPI) has been addressed in recent studies. This study aimed to investigate the risk of hospital-acquired pneumonia (HAP) in critically ill patients receiving PPI or sucralfate. This retrospective observational cohort study analyzed patients who were prescribed with PPIs or sucralfate for stress ulcer prophylaxis in intensive care units (ICU). A propensity score and other risk factors were used to calculate the adjusted odds ratio (OR) for the two groups. The final cohort comprised 388 patients with 302 patients on PPI and 86 patients on sucralfate therapies. HAP developed in 63 patients (20.86%) on PPI, and 8 patients (9.30%) on sucralfate (adjusted OR 3.37, 95% CI 1.35-8.45, p-value 0.009). The enrolled patients on PPI therapy with an APACHE II score > 13 (adjusted OR 3.70,95% CI 1.04-13.10, p-value 0.043), or those on PPI therapy with an ICU stay of more than 8 days (adjusted OR 9.04, 95% CI 1.94-42.06, p-value 0.005) had the highest risk of developing HAP. Patients in medical ICU treated with PPIs had a higher risk of developing HAP than those treated with sucralfate. For the ICU patients requiring stress ulcer prophylaxis, sucralfate can be considered as a priority treatment. The risk and benefit of PPI treatment should be evaluated for patients who may have a longer ICU stay or have a high APACHE II score.

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)0.001
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 score0.430
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.018
GPT teacher head0.286
Teacher spread0.269 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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