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Record W4296498822 · doi:10.1093/pch/21.supp5.e83

Location! Location! Location! The Impact of Single-Room Design on Neurodevelopment of Preterm Infants

2016· article· en· W4296498822 on OpenAlexaff
P Church, Edward Ng, D Weisz, A Cavanagh, M Dunn

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsBayley Scales of Infant DevelopmentMedicineInterquartile rangeNeonatal intensive care unitPediatricsRetrospective cohort studyCohortBreastfeedingLogistic regressionGestational ageCohort studyIntensive careLow birth weightPregnancyIntensive care medicineCognitionInternal medicine

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: The impact of neonatal intensive care unit (NICU) design on neurodevelopmental outcomes of preterm infants is uncertain. Although single room design (SRD) reduces nosocomial infections and improves breastfeeding rates and parental satisfaction, recent data suggests that SRD may be associated with language delays and alterations in cortical development. OBJECTIVES: To compare neurodevelopmental outcomes of preterm infants who received care in a contemporary SRD environment compared with a similar cohort who received care during an earlier period with an open bay design (OBD). DESIGN/METHODS: Retrospective single-centre cohort study comparing the neurodevelopmental outcomes of all surviving extremely low birth weight (ELBW) i nfants admitted within 24 hours of birth in 2009 (OBD epoch) and 2011 (SRD epoch). The primary outcome was moderate or severe neurodevelopmental impairment using the Bayley Scales of Infant Development, third edition (BSID-III) at 18 months corrected age. Secondary outcomes included severe NDI and BSID-III scores. Multivariable logistic regression (MLR) analysis was used to evaluate the independent association between NICU design and outcomes. RESULTS: The study included 100 ELBW infants in 2009, and 98 in 2011. The 2 epochs were similar in follow-up rates (80% in 2009; 82% in 2011) and infant characteristics (including those lost to follow up). Mortality was 7.9% in 2009 and 6.1% in 2011. BSID-III language scores (median [interquartile range]) were similar for infants in the OBD and SRD epochs (86 [71,100] vs. 81 [71,94], p=NS). On MLR analysis, NICU design was not associated with significant differences in NDI or BSID-III language score less than 80 after adjustment for antenatal and perinatal confounders. (Table1) CONCLUSION: There was no significant difference in NDI between cohorts of ELBW infants cared for in an SRD compared with an OBD NICU design environment. The contrast in findings from earlier studies may be attributable to the local context of government-supported parental leave and strong promotion of parental presence in the NICU.

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)0.006
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.288
Teacher spread0.260 · 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
Published2016
Admission routes1
Has abstractyes

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