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Record W4414888359 · doi:10.2196/85381

Neuromotor and Cognitive Outcomes of Preterm Infants at 3 Months of Corrected Age in a Northeastern Region of Brazil: Longitudinal Feasibility Study

2025· article· en· W4414888359 on OpenAlexvenueno aff
Nathália de Figueiredo Silva, Carolina Daniel de Lima-Alvarez, Stacey C. Dusing, Silvana Alves Pereira

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsBayley Scales of Infant DevelopmentGestational ageMotor skillCognitionGross motor skillChild developmentIntensive careCognitive developmentPremature birth

Abstract

fetched live from OpenAlex

BACKGROUND Preterm infants (PTIs) are at increased risk of neurodevelopmental impairment, particularly in socioeconomically vulnerable regions, where access to early intervention services is limited. However, little is known about the feasibility of longitudinal developmental monitoring in such contexts. OBJECTIVE This study aimed to evaluate the feasibility of recruiting, retaining, and assessing preterm infants in a resource-limited setting in Northeastern Brazil and to generate preliminary data on early neurodevelopmental outcomes. METHODS This longitudinal feasibility study was conducted at a referral maternity hospital in Northeastern Brazil between October 2023 and March 2024. PTIs born at ≤32 weeks of gestational age were recruited during hospitalization. Feasibility outcomes included recruitment rate, retention rate, and completeness of assessments. Development was assessed at three time points: (1) Neonatal Intensive Care Unit discharge, (2) Kangaroo Neonatal Intermediate Care Unit discharge, and (3) at 3 months of corrected age (CA), using the Motor Optimality Score (MOS), Test of Infant Motor Performance (TIMP), and Bayley Scales of Infant Development III (BAYLEY-III). Caregiver-infant interaction was assessed using the Recorded Interaction Task (RIT). RESULTS Of 45 eligible infants, 20 (44.4%) were enrolled, and 10 (50%) completed follow-up in 3 months CA. A total of 67 assessments were conducted. Attrition was due to death (n=5), loss of contact (n=2), withdrawal (n=2), and transfer to another service (n=1). Among infants assessed at 3 months CA, 60% (n=6) of infants had MOS <25, indicating increased risk of neurological impairment. At TIMP, 80% (n=8) showed motor performance below expected levels in 3 months. BAYLEY-III assessments (n=8) indicated below-average motor performance in 50% (n=4) of the infants and below-average cognitive performance in 50% (n=4). All caregiver-infant dyads assessed at follow-up (n=10) demonstrated adequate interaction on RIT (mean score 57.9, SD 12.3). CONCLUSIONS Longitudinal developmental monitoring of PTIs in a resource-limited setting was feasible, although retention remained a major challenge. Preliminary findings indicated frequent motor and cognitive vulnerabilities after hospital discharge, underscoring the importance of structured follow-ups in early infancy. These findings support the need for larger studies to refine follow-up strategies and evaluate early intervention in similar contexts.

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)0.003
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 score0.078
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.067
GPT teacher head0.417
Teacher spread0.350 · 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
Published2025
Admission routes1
Has abstractyes

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