Severe bronchopulmonary dysplasia increases risk for later neurological and motor sequelae in preterm survivors
Bibliographic record
Abstract
Preterm children who develop severe chronic lung disease may be developmentally compromised by exposure to hypoxic episodes. This study aims to determine if children with severe bronchopulmonary dysplasia (BPD) who required home oxygen therapy were at greater risk for neurological and motor deficits at school age than preterm peers without BPD. This study evaluated 27 subjects with BPD and 27 preterm control infants matched for gestational age, birth weight, sex, and year of birth at a mean age of 9.9 years (2.0 SD) using standardized neuromotor outcome measures. Pair‐matched comparisons and regression analyses were used to determine if subjects with BPD were at increased risk for neuromotor sequelae. Neurological abnormalities, including subtle neurological signs, cerebral palsy, microcephaly, and behavioral difficulties were highly prevalent in the BPD group (71% compared with 19% in control group, P<0.005). Over half the BPD cohort had difficulties in gross and/or fine motor skills. There were significant differences in postural stability between groups. Duration of hospitalization and home oxygen treatment, and decreased lung function at school age, markers of severity of illness, correlated with motor outcomes. The findings underline the importance of preventing the cardiorespiratory complications associated with chronic lung disease to minimize disability in preterm children. For children with severe BPD, better recognition and subsequent remediation of neuromotor impairments that manifest at school age may help maximize their functional potential.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".