Email updates

Keep up to date with the latest news and content from BMC Pregnancy and Childbirth and BioMed Central.

Open Access Research article

Inability to predict postpartum hemorrhage: insights from Egyptian intervention data

Ndola Prata1*, Sabry Hamza2, Suzanne Bell1, Deborah Karasek1, Farnaz Vahidnia1 and Martine Holston3

Author Affiliations

1 Bixby Center for Population, Health and Sustainability, School of Public Health, University of California at Berkeley, 229 Warren Hall, UC-Berkeley, Berkeley, CA 94720-7360, USA

2 Obstetrics and Gynecology Department, Faculty of Medicine, Ain Shams University, Abbasia, Cairo, Egypt

3 Venture Strategies Innovations, 2115 Milvia Street Suite 4A, Berkeley, CA 94704, USA

For all author emails, please log on.

BMC Pregnancy and Childbirth 2011, 11:97  doi:10.1186/1471-2393-11-97

Published: 28 November 2011

Abstract

Background

Knowledge on how well we can predict primary postpartum hemorrhage (PPH) can help policy makers and health providers design current delivery protocols and PPH case management. The purpose of this paper is to identify risk factors and determine predictive probabilities of those risk factors for primary PPH among women expecting singleton vaginal deliveries in Egypt.

Methods

From a prospective cohort study, 2510 pregnant women were recruited over a six-month period in Egypt in 2004. PPH was defined as blood loss ≥ 500 ml. Measures of blood loss were made every 20 minutes for the first 4 hours after delivery using a calibrated under the buttocks drape. Using all variables available in the patients' charts, we divided them in ante-partum and intra-partum factors. We employed logistic regression to analyze socio-demographic, medical and past obstetric history, and labor and delivery outcomes as potential PPH risk factors. Post-model predicted probabilities were estimated using the identified risk factors.

Results

We found a total of 93 cases of primary PPH. In multivariate models, ante-partum hemoglobin, history of previous PPH, labor augmentation and prolonged labor were significantly associated with PPH. Post model probability estimates showed that even among women with three or more risk factors, PPH could only be predicted in 10% of the cases.

Conclusions

The predictive probability of ante-partum and intra-partum risk factors for PPH is very low. Prevention of PPH to all women is highly recommended.