ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2024
Development of antepartum risk prediction model for postpartum hemorrhage in Lagos, Nigeria: A prospective cohort study (Predict-PPH study).
Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 10 citations in OpenAlex.
- A randomized controlled trial of N-acetylcysteine in the treatment of early-onset preeclampsia: Study Protocol.PloS one · 2026Article
- Prevalence, emerging aetiologies, and contemporary predictors of primary postpartum haemorrhage in a tertiary-level obstetric population in Nnewi, Nigeria: a pilot study.Kronika (Ljubljana, Slovenia) · 2025Article
- Risk factors for postpartum hemorrhage in critically ill pregnant women with placenta previa and construction of a dynamic nomogram model.American journal of translational research · 2025Article
- Prevalence and Associated Factors of High-Risk Human Papillomavirus Infections among Human Immunodeficiency Virus-Infected Women in Lagos, Nigeria.Research square · 2024Article
- Prevalence and determinants of moderate-to-severe anaemia in the third trimester of pregnancy: a multicenter cross-sectional study in Lagos, Nigeria.Scientific reports · 2024Article
- Prenatal anaemia and risk of postpartum haemorrhage: a cohort analysis of data from the Predict-PPH study.BMC public health · 2024Article
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17 authors at 6 institutions in 2 countries.
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Abstract
objectivesThere is currently a limited ability to accurately identify women at risk of postpartum hemorrhage (PPH). We conducted the "Predict-PPH" study to develop and evaluate an antepartum prediction model and its derived risk-scoring system.
methodsThis was a prospective cohort study of healthy pregnant women who registered and gave birth in five hospitals in Lagos, Nigeria, from January to June 2023. Maternal antepartum characteristics were compared between women with and without PPH. A predictive multivariable model was estimated using binary logistic regression with a backward stepwise approach eliminating variables when P was greater than 0.10. Statistically significant associations in the final model were reported when P was less than 0.05.
resultsThe prevalence of PPH in the enrolled cohort was 37.1%. Independent predictors of PPH such as maternal obesity (adjusted odds ratio [aOR] 3.25, 95% confidence interval [CI] 2.47-4.26), maternal anemia (aOR 1.32, 95% CI 1.02-1.72), previous history of cesarean delivery (aOR 4.24, 95% CI 3.13-5.73), and previous PPH (aOR 2.65, 95% CI 1.07-6.56) were incorporated to develop a risk-scoring system. The area under the receiver operating characteristic curve (AUROC) for the prediction model and risk scoring system was 0.72 (95% CI 0.69-0.75).
conclusionWe recorded a relatively high prevalence of PPH. Our model performance was satisfactory in identifying women at risk of PPH. Therefore, the derived risk-scoring system could be a useful tool to screen and identify pregnant women at risk of PPH during their routine antenatal assessment for birth preparedness and complication readiness.
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