Abstract
Background: Vaginal bleeding during pregnancy has been recognised as a significant risk factor for adverse pregnancy outcomes. This study aimed to investigate the association between vaginal bleeding during the first trimester of pregnancy and clinical adverse effects using a systematic review and meta-analysis.
Methods: Databases of Scopus, Web of Science, PubMed (including Medline), Cochrane Library and Science Direct were searched until June of 2023. Data analysis using statistical test fixed- and random-effects models in the meta-analysis, Cochran and meta-regression. The quality of the eligible studies was assessed by using the Newcastle–Ottawa Scale checklist (NOS).
Results: A total of 46 relevant studies, with a sample size of 1,554,141 were entered into the meta-analysis. Vaginal bleeding during the first trimester of pregnancy increases the risk of preterm birth (OR: 1.8, CI 95%: 1.6–2.0), low birth weight (LBW; OR: 2.0, CI 95%: 1.5–2.6), premature rupture of membranes (PROMs; OR: 2.3, CI 95%: 1.8–3.0), abortion (OR: 4.3, CI 95%: 2.0–9.0), stillbirth (OR: 2.5, CI 95%: 1.2–5.0), placental abruption (OR: 2.2, CI 95%: 1.4–3.3) and placenta previa (OR: 1.9, CI 95%: 1.5–2.4).
Conclusions: Vaginal bleeding in the first trimester of pregnancy is associated with preterm birth, LBW, PROMs, miscarriage, stillbirth, placental abruption and placenta previa. Therefore, physicians or midwives need to be aware of the possibility of these consequences and manage them when they occur.
PLAIN LANGUAGE SUMMARY
Vaginal bleeding in the first trimester of pregnancy increases the relative risk of preterm birth, low birth weight, premature rupture of membranes, abortion, stillbirth, placental abruption and placenta previa.
Acknowledgements
The authors would like to thank the Deputy of Research and Technical Information of Shahroud University of Medical Sciences for supporting this research.
Ethics approval
This study was approved by Shahroud University of Medical Sciences (Ethical code: IR.SHMU.REC.1399.025).
Contributions to authorship
Arezoo Karimi: Data collection, data extraction, writing the manuscript, approval of the final version to be published;
Kourosh Sayehmiri: Data analysis and interpretation and quality appraisals, approval of the final version to be published;
Salman Daliri: Data collection, data extraction, writing the manuscript, approval of the final version to be published;
Mojtaba Vaismoradi: Writing the manuscript, critical interpretation of content, approval of the final version to be published;
Mostafa Dianatinasab: Writing the manuscript, critical interpretation of content; approval of the final version to be published.
Data availability statement
The authors confirm that the data supporting the findings of this study are available within the article [and/or] its Supplementary materials.