Risk factors for late preterm and term stillbirth: A secondary analysis of an individual participant data meta‐analysis

Author:

Thompson Raille A.1,Thompson John M. D.12,Wilson Jessica12,Cronin Robin S.13ORCID,Mitchell Edwin A.12,Raynes‐Greenow Camille H.4,Li Minglan13,Stacey Tomasina5,Heazell Alexander E. P.67ORCID,O‘Brien Louise M.7,McCowan Lesley M. E.1,Anderson Ngaire H.1

Affiliation:

1. Department of Obstetrics and Gynaecology, Faculty of Medical and Health Science The University of Auckland Auckland New Zealand

2. Department of Paediatrics: Child and Youth Health, Faculty of Medical and Health Science The University of Auckland Auckland New Zealand

3. Women's Health Division, Counties Manukau Health Auckland New Zealand

4. Sydney School of Public Health University of Sydney Camperdown New South Wales Australia

5. Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care King's College London London UK

6. University of Manchester Manchester UK

7. University of Michigan Ann Arbor Michigan USA

Abstract

AbstractObjectiveIdentify independent and novel risk factors for late‐preterm (28–36 weeks) and term (≥37 weeks) stillbirth and explore development of a risk‐prediction model.DesignSecondary analysis of an Individual Participant Data (IPD) meta‐analysis investigating modifiable stillbirth risk factors.SettingAn IPD database from five case–control studies in New Zealand, Australia, the UK and an international online study.PopulationWomen with late‐stillbirth (cases, n = 851), and ongoing singleton pregnancies from 28 weeks’ gestation (controls, n = 2257).MethodsEstablished and novel risk factors for late‐preterm and term stillbirth underwent univariable and multivariable logistic regression modelling with multiple sensitivity analyses. Variables included maternal age, body mass index (BMI), parity, mental health, cigarette smoking, second‐hand smoking, antenatal‐care utilisation, and detailed fetal movement and sleep variables.Main outcome measuresIndependent risk factors with adjusted odds ratios (aOR) for late‐preterm and term stillbirth.ResultsAfter model building, 575 late‐stillbirth cases and 1541 controls from three contributing case–control studies were included. Risk factor estimates from separate multivariable models of late‐preterm and term stillbirth were compared. As these were similar, the final model combined all late‐stillbirths. The single multivariable model confirmed established demographic risk factors, but additionally showed that fetal movement changes had both increased (decreased frequency) and reduced (hiccoughs, increasing strength, frequency or vigorous fetal movements) aOR of stillbirth. Poor antenatal‐care utilisation increased risk while more‐than‐adequate care was protective. The area‐under‐the‐curve was 0.84 (95% CI 0.82–0.86).ConclusionsSimilarities in risk factors for late‐preterm and term stillbirth suggest the same approach for risk‐assessment can be applied. Detailed fetal movement assessment and inclusion of antenatal‐care utilisation could be valuable in late‐stillbirth risk assessment.

Publisher

Wiley

Subject

Obstetrics and Gynecology

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