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Original Articles

Predictive factors for secondary postpartum hemorrhage: a case-control study in Japan

ORCID Icon, , &
Pages 3943-3947 | Received 13 Jun 2020, Accepted 28 Oct 2020, Published online: 09 Nov 2020
 

Abstract

Background

Secondary postpartum hemorrhage (PPH) is defined as excessive vaginal blood loss occurring between 24 h and 6–12 weeks after birth. The incidence of secondary PPH varies from 0.2% to 3.0%, and the peak incidence ranges from 1 to 2 weeks postpartum. There is no clinical evidence regarding the cause of secondary PPH. Therefore, this study aimed to determine the predictive factors for secondary PPH in an Asian population.

Methods

A case-control study was performed. The clinical data of 25 secondary PPH patients who had been admitted to our hospital between June 2012 and January 2019 were obtained for this study. Control patients (n = 100) were selected from pregnant women who delivered at the hospital during the same period; they were matched to secondary PPH patients using propensity score matching to adjust for maternal age at delivery, parity, and the use of assisted reproductive technology (ART). A multiple logistic regression analysis was used to determine the predictive factors for secondary PPH.

Results

The median maternal age was 34 years (range, 24–42 years); 85 (68.0%) women were nulliparous, 31 (24.8%) used ART, and 116 (92.8%) had term deliveries. Immediate PPH (adjusted odds ratio [OR], 2.84; 95% confidence interval [CI], 1.04–7.75) and manual removal of the placenta (adjusted OR, 6.14; 95% CI, 1.21–31.1) were associated with secondary PPH.

Conclusion

Increasing the awareness of the predictive factors for secondary PPH could play an important role in the recognition and treatment of postpartum morbidity.

Acknowledgments

We thank the study subjects for the use of their personal data.

We would like to thank Editage (www.editage.com) for English language editing.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

All data relevant to the study are included in the article.

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