MétaCan
Menu
← Back to cohort
Record W7009773426

Factors Associated with Wean Duration Length as a Measure of Iatrogenic Withdrawal Syndrome in the Neonatal Intensive Care Unit: A Retrospective Chart Review

2024· dissertation· en· W7009773426 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2024
Typedissertation
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsnot available
Fundersnot available
KeywordsGestational ageNeonatal intensive care unitRetrospective cohort studyIntensive careProportional hazards modelUnivariate analysisIntubationIntensive care unit
DOInot available

Abstract

fetched live from OpenAlex

Background: Neonates admitted to the Neonatal Intensive Care Unit (NICU) receive opioids and benzodiazepines for reasons including surgical procedures and mechanical ventilation. Neonates who are exposed to high doses of opioids and benzodiazepines for prolonged periods of time, are at an increased risk of iatrogenic withdrawal syndrome (IWS). There is currently little research to document which patient, process, or system factors are associated with longer wean duration to guide clinical and policy decision-making. Methods: A cross-sectional study was performed using data collected through a chart review of NICU admissions at the Children’s Hospital of Eastern Ontario between January 1, 2019 and December 31, 2022. Univariate and multivariable linear regressions were used to estimate associations between patient, process, and system level variables and wean duration length. Results: Patient, process, and system level variables were associated with wean duration length on univariate analysis. Neonates with younger gestational age, lower birth weight, an immune-related admission problem, intubated for longer durations or greater frequency, experienced longer wean duration. Receipt of hydromorphone, midazolam, lorazepam, and ketamine were associated with longer wean duration, as was receiving more than one medication. Larger cumulative doses of hydromorphone, lorazepam, clonidine, methotrimeprazine, and gabapentin were also associated with longer wean duration. Documentation of ethnicity was associated with longer wean duration. In the multiple regression model that included gestational age at birth, birth weight, sex, and whether ethnicity was reported, documentation of ethnicity was associated with longer wean duration. In the multiple regression model that included type of surgery intubation occurrences and sepsis, a greater number of intubations and being tested for sepsis were associated with longer wean duration. In the multiple regression model that included the type of medications administered, receipt of hydromorphone, lorazepam, and ketamine were associated with longer wean durations. Conclusions: This was the first study of its kind in a Canadian NICU to examine the association between wean duration and key covariates to inform the reduction of IWS. This study provided exploratory evidence of patient-, process-, and system-level factors associated with wean duration among neonates receiving opioids and/or benzodiazepines which can be further validated through future studies.

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)0.008
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 score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueQSpace (Queen's University Library)→Same topicNeonatal and fetal brain pathology→French-language works237,207→