Prioritisation of early pregnancy risk factors for stillbirth: An international multistakeholder modified e-Delphi consensus study
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View abstract on PubMed
Summary
This summary is machine-generated.This study identified key early pregnancy risk factors for stillbirth, including maternal age, smoking, and hypertension. These findings will help develop public health strategies to prevent stillbirth.
Area Of Science
- Obstetrics and Gynecology
- Perinatal Medicine
- Public Health
Background
- Stillbirth remains a significant global health concern, necessitating research into identifiable and preventable risk factors.
- Early identification of risk factors is crucial for developing effective prevention strategies and improving pregnancy outcomes.
Purpose Of The Study
- To identify and prioritize early pregnancy risk factors for stillbirth.
- To inform future research on prognostic factors and predictive models for stillbirth.
Main Methods
- A modified e-Delphi method involving an international group of healthcare professionals and researchers was employed.
- The RAND/UCLA appropriateness method was used to achieve consensus on the importance of identified risk factors.
- Consensus was defined by specific scoring criteria for median score and panellist agreement.
Main Results
- Twenty-six risk factors were evaluated, with fifteen prioritized for stillbirth at any gestation, eleven for early stillbirth, and sixteen for late stillbirth.
- Key maternal characteristics identified include maternal age, smoking, hypertension, diabetes, and previous stillbirth.
- Ultrasound markers (uterine artery Doppler pulsatility index, congenital fetal anomaly) and one biochemical marker (placental growth factor) were also prioritized.
Conclusions
- The prioritized list of stillbirth risk factors provides a foundation for formal evaluation and research.
- These findings can guide public health initiatives aimed at preventing stillbirth by addressing modifiable risk factors.
- Informing prognostic models with these factors can lead to better prediction and management of stillbirth risk.
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