Using latent variable modelling to identify etiological heterogeneity in preterm delivery

A small but highly morbid class of neonatal deliveries emerged, exhibiting strong continuity across consecutive births (odds ratios >10), independent of a range of maternal and pregnancy-related factors. This group of women, if subject to further investigation, could provide valuable insight into the aetiology of prematurity and associated morbidity, perhaps providing information to improve birth outcomes among all women.

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Publication Details

Journal
Journal of Paediatrics and Child Health
Published
2024-09-21
DOI
https://doi.org/10.1111/jpc.16660
Primary Topic
Preterm Birth and Chorioamnionitis
Type
article
Field-Weighted Citation Impact
0.00

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article

Using latent variable modelling to identify etiological heterogeneity in preterm delivery

Kim Betts, Rosa Alati, Peter Baker
Journal of Paediatrics and Child Health
Preterm Birth and Chorioamnionitis
article

Using latent variable modelling to identify etiological heterogeneity in preterm delivery

Kim Betts, Rosa Alati, Peter Baker
article en

Abstract

A small but highly morbid class of neonatal deliveries emerged, exhibiting strong continuity across consecutive births (odds ratios >10), independent of a range of maternal and pregnancy-related factors. This group of women, if subject to further investigation, could provide valuable insight into the aetiology of prematurity and associated morbidity, perhaps providing information to improve birth outcomes among all women.

Journal of Paediatrics and Child HealthVol. 60(11)
The University of Queensland (AU), Curtin University (AU)
Curtin University of Technology
Good health and well-being
Openalex Percentile: Top 76%
Preterm Birth and Chorioamnionitis
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Using latent variable modelling to identify etiological heterogeneity in preterm delivery — Kim Betts, Rosa Alati, et al. · Journal of Paediatrics and Child Health (2024) | TGRS Research Map | TGRS