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Record W2793677906 · doi:10.1097/pcc.0000000000001522

Retrospective Application of New Pediatric Ventilator-Associated Pneumonia Criteria Identifies a High-Risk Population*

2018· article· en· W2793677906 on OpenAlexaff
Ashley Gionfriddo, Mika Nonoyama, Peter C. Laussen, Peter N. Cox, Megan A. Clarke, Alejandro A. Floh

Bibliographic record

VenuePediatric Critical Care Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicNosocomial Infections in ICU
Canadian institutionsOntario Tech UniversityHospital for Sick Children
Fundersnot available
KeywordsMedicineInterquartile rangeExtracorporeal membrane oxygenationPneumoniaRetrospective cohort studyMechanical ventilationPopulationRespiratory failureCohortIntensive carePediatricsIntensive care medicineEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To promote standardization, the Centers for Disease Control and Prevention introduced a new ventilator-associated pneumonia classification, which was modified for pediatrics (pediatric ventilator-associated pneumonia according to proposed criteria [PVAP]). We evaluated the frequency of PVAP in a cohort of children diagnosed with ventilator-associated pneumonia according to traditional criteria and compared their strength of association with clinically relevant outcomes. DESIGN: Retrospective cohort study. SETTING: Tertiary care pediatric hospital. PATIENTS: Critically ill children (0-18 yr) diagnosed with ventilator-associated pneumonia between January 2006 and December 2015 were identified from an infection control database. Patients were excluded if on high frequency ventilation, extracorporeal membrane oxygenation, or reintubated 24 hours following extubation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Patients were assessed for PVAP diagnosis. Primary outcome was the proportion of subjects diagnosed with PVAP. Secondary outcomes included association with intervals of care. Two hundred seventy-seven children who had been diagnosed with ventilator-associated pneumonia were eligible for review; 46 were excluded for being ventilated under 48 hours (n = 16), on high frequency ventilation (n = 12), on extracorporeal membrane oxygenation (n = 8), ineligible bacteria isolated from culture (n = 8), and other causes (n = 4). ICU admission diagnoses included congenital heart disease (47%), neurological (16%), trauma (7%), respiratory (7%), posttransplant (4%), neuromuscular (3%), and cardiomyopathy (3%). Only 16% of subjects (n = 45) met the new PVAP definition, with 18% (n = 49) having any ventilator-associated condition. Failure to fulfill new definitions was based on inadequate increase in mean airway pressure in 90% or FIO2 in 92%. PVAP was associated with prolonged ventilation (median [interquartile range], 29 d [13-51 d] vs 16 d [8-34.5 d]; p = 0.002), ICU (median [interquartile range], 40 d [20-100 d] vs 25 d [14-61 d]; p = 0.004) and hospital length of stay (median [interquartile range], 81 d [40-182 d] vs 54 d [31-108 d]; p = 0.04), and death (33% vs 16%; p = 0.008). CONCLUSIONS: Few children with ventilator-associated pneumonia diagnosis met the proposed PVAP criteria. PVAP was associated with increased morbidity and mortality. This work suggests that additional study is required before new definitions for ventilator-associated pneumonia are introduced for children.

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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.342
Teacher spread0.328 · 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".

Quick stats

Citations10
Published2018
Admission routes1
Has abstractyes

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