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Record W4285541367 · doi:10.21037/tp-22-1

Impact of maternal age on neonatal outcomes among very preterm infants admitted to Chinese neonatal intensive care units: a multi-center cohort study

2022· article· en· W4285541367 on OpenAlexafffund
Zhiye Qi, Yanchen Wang, Guang Lin, Haiyan Ma, Yaojin Li, Weiquan Zhang, Siyuan Jiang, Xinyue Gu, Yun Cao, Wenhao Zhou, Shoo K. Lee, Kun Liang, Liling Qian

Bibliographic record

VenueTranslational Pediatrics · 2022
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of TorontoMount Sinai Hospital
FundersCanadian Institutes of Health ResearchScience and Technology Commission of Shanghai MunicipalityFudan UniversityUniversity of Alberta
KeywordsMedicineNecrotizing enterocolitisRetinopathy of prematurityPediatricsBronchopulmonary dysplasiaIntraventricular hemorrhageOdds ratioGestational ageAntenatal steroidRetrospective cohort studyIntensive carePeriventricular leukomalaciaNeonatal sepsisObstetricsSepsisPregnancyIntensive care medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background: The percentage of advanced maternal age (aged over 35 years) mothers has been rising across the world, the evidence of maternal age on neonatal outcomes from low- and middle-income countries is scarce. Our objective was to evaluate the effect of maternal age on mortality and major morbidity among very preterm infants admitted to Chinese neonatal intensive care units. Methods: Data from a retrospective multi-center cohort of all complete care very preterm infants admitted to 57 neonatal intensive care units that participated in the Chinese Neonatal Network from January 1st to December 31st, 2019 were analyzed. Neonatal outcomes including mortality or any major morbidity, defined as necrotizing enterocolitis stage 2 or 3, moderate & severe bronchopulmonary dysplasia, severe intraventricular hemorrhage, cystic periventricular leukomalacia, severe retinopathy of prematurity, or sepsis. A multiple logistic regression model was constructed to analyze the independent association between maternal age and neonatal outcome. Results: Among 7,698 eligible newborns, 80.5% of very preterm infants were born to mothers between the ages of 21 and 35 years, with 18.0% born to mothers >35 years and 1.5% born to mothers <21 years. Higher rates of maternal hypertension, maternal diabetes, cesarean deliveries, antenatal steroid usage were noted as maternal age increased. The proportion of prenatal care, cesarean section, antenatal steroid usage and inborn for very preterm infants born to mothers <21 years was lower than those of mothers of other ages. Compared to the ages of 21-35 years group, the odds of severe intraventricular hemorrhage (adjusted odd ratio: 2.00, 95% CI: 1.08-3.71) was significantly higher in the ages of 15-20 years group. Increasing maternal age was associated with higher rates of small for gestational age and lower birth weight of very preterm infants, but no correlation between advanced maternal age and very preterm infants mortality or major morbidity. Conclusions: Among very preterm infants, increasing maternal age was associated with higher rates of small for gestational age but not neonatal mortality or major morbidity. Young maternal age may increase the risk of severe intraventricular hemorrhage of very preterm infants.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.383
Teacher spread0.343 · 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 teacher head, not a consensus.

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

Citations8
Published2022
Admission routes2
Has abstractyes

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