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Record W3210647625 · doi:10.1093/pch/pxab061.048

63 Characterizing Organizational Risk Factors and Clinical Impacts of Unplanned Extubations among Infants in the Neonatal Intensive Care Unit

2021· article· en· W3210647625 on OpenAlexaffabout
Gabriella Le Blanc, Elias Jabbour, Sharina Patel, Marco Zeid, Wissam Shalish, Olga Kazansteva, Marc Beltempo

Bibliographic record

VenuePaediatrics & Child Health · 2021
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMontreal Children's HospitalMcGill University Health CentreMcGill University
Fundersnot available
KeywordsMedicineNeonatal intensive care unitMechanical ventilationBronchopulmonary dysplasiaGestational ageRetrospective cohort studyPropensity score matchingIntensive care unitPediatricsIntensive careCohortNeonatologyEmergency medicineAnesthesiaIntensive care medicinePregnancyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Primary Subject area Neonatal-Perinatal Medicine Background Organizational factors in neonatal intensive care units (NICUs) can increase the risk of adverse events, such as unplanned extubations (UPEs). UPE is the premature and unanticipated removal of an endotracheal tube. UPE and subsequent reintubation may increase the risk for lung injury and bronchopulmonary dysplasia (BPD) among preterm infants. Objectives First, we aimed to assess the association between daily nursing overtime and UPEs in the NICU. Second, we aimed to evaluate the association between UPE, re-intubation after UPE, and BPD in the sub-group of infants born < 29 weeks’ gestational age (GA). Design/Methods We conducted a retrospective cohort study including infants admitted to a tertiary care NICU between 2016-2019. Daily nursing hours were obtained from local administrative databases. Patient data was collected from the local Canadian Neonatal Network database. Association between ratio of daily nursing overtime hours/total nursing hours (OTR) was compared between days with and without UPEs, using logistic regression analyses. Associations between UPE and BPD among infants born <29 weeks requiring mechanical ventilation was evaluated in a 1:1 propensity-score matched (PSM) cohort. Infants were matched based on GA ± 2 weeks, mechanical ventilation days at time of UPE ± 5 days and SNAPII>20. Results There were 108/1370 (7.8%) days with ≥ 1 UPE, for a total of 116 UPE events from 87 patients (23-42 weeks GA). Higher median OTR was observed on days with UPE compared to days without (3.3% vs. 2.5%, p=0.01). OTR was associated with higher adjusted odds of UPE (aOR 1.09, 95% CI 1.01-1.18), while other organizational variables were not (Table 1). Among ventilated infants <29 weeks’ GA (n=XX), UPE rate was 31% (59), BPD rate was 42% (81) and re-intubation rate after UPE was 59% (35). In the PSM cohort of infants <29 weeks, re-intubation after UPE, was associated with increased length of mechanical ventilation (aOR 16.45; CI 6.18, 26.72) as well as increased odds of BPD, when compared to infants not requiring re-intubation (aOR 4.97, 95% CI 1.54-18.27) (Table 2). Conclusion Higher nursing overtime was associated with increased UPEs in the NICU. Re-intubation was frequently required after a UPE. Among the infants born < 29 weeks’ GA, UPE requiring reintubation was associated with increased total length of mechanical ventilation and increased risk of BPD. Our findings highlight the role of workforce management in improving outcomes in the NICU, through reducing the incidence of UPEs.

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)0.004
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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.043
GPT teacher head0.382
Teacher spread0.339 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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