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An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
Published on: January 27, 2010
Inability to predict postpartum hemorrhage: insights from Egyptian intervention data
Ndola Prata1, Sabry Hamza, Suzanne Bell
1Bixby 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. ndola@berkeley.edu
BMC Pregnancy and Childbirth
|November 30, 2011
Summary
Predicting primary postpartum hemorrhage (PPH) is challenging, as even multiple risk factors only identify about 10% of cases. Universal prevention strategies for PPH are recommended for all women.
Area of Science:
- Obstetrics and Gynecology
- Maternal Health
- Epidemiology
Background:
- Effective prediction of primary postpartum hemorrhage (PPH) is crucial for optimizing delivery protocols and case management.
- Identifying risk factors and their predictive probabilities for PPH informs clinical practice and policy decisions.
Purpose of the Study:
- To identify risk factors for primary PPH.
- To determine the predictive probabilities of these risk factors for women undergoing singleton vaginal deliveries in Egypt.
Main Methods:
- A prospective cohort study of 2510 pregnant women in Egypt.
- PPH defined as blood loss ≥ 500 ml, with blood loss measured using a calibrated drape.
- Logistic regression analysis of ante-partum and intra-partum factors, including socio-demographic, medical history, and labor outcomes.
Main Results:
- 93 cases of primary PPH were identified.
- Ante-partum hemoglobin, previous PPH history, labor augmentation, and prolonged labor were significant PPH risk factors.
- Even with three or more risk factors, PPH prediction was only achieved in 10% of cases.
Conclusions:
- The predictive probability of identified ante-partum and intra-partum risk factors for PPH is very low.
- Universal prevention strategies for PPH are highly recommended for all women.
