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Record W3208199314 · doi:10.1093/pch/pxab061.057

72 Identifying Perinatal and Neonatal Factors Associated with Autism Spectrum Disorder among Preterm Infants Born < 29 Weeks’ Gestation

2021· article· en· W3208199314 on OpenAlexaffabout
Andrée-Anne Busque, Elias Jabbour, Sharina Patel, Élise Couture, Jarred Garfinkle, May Khairy, Martine Claveau, Marc Beltempo

Bibliographic record

VenuePaediatrics & Child Health · 2021
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsMontreal Children's HospitalMcGill University Health CentreMcGill University
Fundersnot available
KeywordsMedicinePediatricsNeonatal intensive care unitGestational ageOdds ratioAutism spectrum disorderIncidence (geometry)Logistic regressionObstetricsPregnancyAutismInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Primary Subject area Neonatal-Perinatal Medicine Background Preterm infants born <29 weeks’ gestational age (GA) are at risk for autism spectrum disorder (ASD), typically diagnosed at age >2 years. Perinatal and neonatal factors, including interventions and morbidities during neonatal intensive care unit admission, may contribute to the risk of ASD among these infants. Objectives We aimed to assess the incidence of and risk factors for, ASD among preterm infants born < 29 weeks’ GA. Design/Methods <29 weeks’ GA admitted 2009-2017 to two tertiary NICUs and followed ≥18 months at the Neonatal Follow-Up Clinic. Primary outcome was ASD defined as a confirmed diagnosis using standardized testing or suspected diagnosis at >18 months of corrected age. Patient data and 18-month developmental outcomes were obtained from the local Canadian Neonatal Follow Up Network database and from chart review. Stepwise logistic regression was used to identify significant perinatal, neonatal, and socio-economic factors associated with ASD. Results Among 300 eligible infants, 47 (15.7%) developed ASD (Figure 1, Table 1). Mean follow-up duration was 3.9 ± 1.4 years and mean age at diagnosis was 3.7 ± 1.5 years. Male sex (adjusted odds ratio [aOR] 4.63, 95% CI 2.12, 10.10), small for gestational age status (aOR 3.03, 95% CI 1.02, 9.01), maternal age ≥ 35 years at delivery (aOR 2.22, 95% CI 1.08, 4.57), and tobacco use in utero (aOR 5.67, 95% CI 1.86, 17.29) were significantly associated with ASD. Major neonatal morbidities (retinopathy of prematurity, bronchopulmonary dysplasia, necrotizing enterocolitis, late-onset sepsis, severe neurological injury) were not associated with ASD. Among infants with a complete 18-month corrected age developmental assessment and later diagnosed with ASD, 46% (19/41) did not have significant neurodevelopment impairment (Bayley-III < 70, deafness, blindness, or cerebral palsy). Conclusion ASD is a significant morbidity among infants born < 29 weeks’ GA. ASD was associated with infant and prenatal risk factors but not with neonatal morbidities or socio-economic factors. These findings emphasize the need for ASD evaluation among preterm infants < 29 weeks and for reporting developmental outcomes beyond 18-months corrected age.

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)0.003
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 score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.014
GPT teacher head0.262
Teacher spread0.248 · 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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