Journal Article
Meta-Analysis
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Relationship Between Maternal Characteristics and Postpartum Hemorrhage: A Meta-Analysis Study.

BACKGROUND: Postpartum hemorrhage (PPH) is a leading cause of maternal death in low-income countries and the primary cause of approximately one of every four maternal deaths worldwide.

PURPOSE: The aim of this study was to determine the antenatal risk factors of PPH and its effects.

METHODS: The literature from nine databases was reviewed, and studies published between 2000 and 2012 were analyzed using terms such as "postpartum hemorrhage," "prevention of postpartum hemorrhage," and "management of postpartum hemorrhage." The full text of 1,061 articles was reviewed, and 29 studies were selected according to the inclusion criteria. Studies that determined bias using the funnel plot test were excluded, and 20 studies were included in the meta-analysis. The data were analyzed using Microsoft Office Excel 2010 and comprehensive meta-analysis.

RESULTS: The meta-analysis included five studies and 1,286,752 women for maternal age, six studies and 607,822 women for body mass index, and six studies and 1,118,490 women for parity. The results of the analysis showed that body mass index ≥ 25.00 kg/m (OR = 1.43, 95% CI [1.40, 1.47]), primiparity of mothers (OR = 1.37, 95% CI [1.35, 1.40]), and hypertensive disorder in mothers (OR = 1.52, 95% CI [1.43, 1.61]) are risk factors for the development of PPH. No rela-tionship was found between maternal age ≥ 35 years and PPH (OR = 1.02, 95% CI [0.99, 1.04]).

CONCLUSIONS: Midwives, obstetric nurses, and obstetricians should carefully evaluate mothers for the risk factors of PPH during the antepartum, intrapartum, and postpartum periods. Moreover, at-risk pregnant women should give birth in a unit with emergency initiative options. Future studies should examine relevant personal characteristics of mothers, as familiarity with the risk factors facilitates the management and treatment of PPH. Finally, meta-analyses should review more studies to detect risk factors more comprehensively.

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