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Record W4414853690 · doi:10.1186/s12884-025-08196-6

Associations between maternal abortion history and neonatal outcome among very preterm infants: a multicenter cohort study

2025· article· en· W4414853690 on OpenAlexafffund
Min Yang, Dianna Wang, Jiale Dai, Xiaobo Fan, Yun Cao, Wenhao Zhou, Shoo K. Lee, Jimei Wang, Liyuan Hu, Chao Chen, Lizhong Du, Xiuyong Chen, Huyan Zhang, Xiuying Tian, Jingyun Shi, Zhankui Li, Chuanzhong Yang, Ling Liu, Zuming Yang, Jianhua Fu, Yong Ji, Dongmei Chen, Changyi Yang, Rui Chen, Xiaoming Peng, Ruobing Shan, Shuping Han, Hui Wu, Lili Wang, Qiufen Wei, Mingxia Li, Yiheng Dai, Hong Jiang, Wenqing Kang, Xiaohui Gong, Xiaoyun Zhong, Yuan Shi, Shanyu Jiang, Bing Sun, Long Li, Zhenlang Lin, Jiang-Qin Liu, Jiahua Pan, Hongping Xia, Xiaoying Li, Falin Xu, Yinping Qiu, Li Ma, Ling Yang, Xiaori He, Yanhong Li, Deyi Zhuang, Qin Zhang, Wenbin Dong, Sun Jianhua, Kun Liang, Huaiyan Wang, Jinxing Feng, Liping Chen, Xin-Zhu Lin, Chunming Jiang, Chuan Nie, Linkong Zeng, Mingyan Hei, Hongdan Zhu, Hongying Mi, Zhaoqing Yin, Hongxia Song, Hongyun Wang, Li Dong, Yan Gao, Yajuan Wang, Liying Dai, Liyan Zhang, Yangfang Li, Qianshen Zhang, Guofang Ding, Xiaoxia Chen, Zhen Wang, Zheng Tang, Xiaolu Ma, Xiaomei Zhang, Xiaolan Zhang, Fang Wu, Yanxiang Chen, Ying Wu, Joseph Ting

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2025
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsPublic Health OntarioUniversity of TorontoMount Sinai HospitalUniversity of Alberta HospitalUniversity of Alberta
FundersNational Key Research and Development Program of ChinaCanadian Institutes of Health ResearchScience and Technology Commission of Shanghai Municipality
KeywordsAbortionReproductive medicineCohort studyPregnancyRetrospective cohort studyMulticenter studyPremature birthMedical historyAdvanced maternal ageFamily history

Abstract

fetched live from OpenAlex

BACKGROUND: It is unclear whether there is an association between maternal abortion history and neonatal outcomes of singleton very preterm infants (VPIs). We assess the association between maternal abortion history and neonatal outcome of VPIs in China. METHODS: All first parity singleton VPIs born at < 32 weeks gestational age (GA) who were admitted to neonatal intensive care units (NICU) participating in the Chinese Neonatal Network (CHNN) from 2019 to 2021 were included in the study. Multivariable logistic regression models were constructed to compare neonatal outcomes among infants with different maternal abortion histories after adjusting for confounders. RESULTS: A total of 7256 VPIs were included in this analysis. Overall, 3133 (43.2%) infants had positive maternal abortion history. The incidence of mortality or any major morbidity including respiratory distress syndrome (RDS), patent ductus arteriosus (PDA), intraventricular haemorrhage (IVH), IVH stage 3 or 4, moderate or severe bronchopulmonary dysplasia (BPD), retinopathy of prematurity (ROP), ROP stage 3, 4, or 5 tended to increase significantly with increasing number of maternal abortion histories from non-abortion group to ≥ 2 abortions group. Multivariable analysis showed that maternal abortion history was significantly associated with higher risks of mortality or any major morbidity (adjusted odds ratio [aOR] 1.15, 95% confidence interval [CI] 1.03-1.29), RDS (aOR 1.22, 95%CI 1.08-1.38), IVH (aOR 1.17, 95% CI 1.05-1.31), and IVH stage 3 or 4 (aOR 1.27, 95% CI 1.01-1.59). Risk increased with the number of abortions. VPIs of mothers with two or more abortions had the highest risk of mortality or any major morbidity (aOR 1.18, 95% CI 1.02-1.36), RDS (aOR 1.35, 95% CI 1.18-1.56), IVH (aOR 1.23, 95% CI 1.07-1.43) and moderate or severe BPD (aOR 1.17, 95% CI 1.01-1.36), compared to the non-abortion group. CONCLUSIONS: In China, VPIs born to mothers with previous abortion history may have a greater risk of adverse outcomes. Based on the potential impact of maternal abortion history on newborns, it is necessary to provide additional information on related risks during antenatal counseling for these mothers.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.008
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.287
Teacher spread0.271 · 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.

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

Citations1
Published2025
Admission routes2
Has abstractyes

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