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Development of antepartum risk prediction model for postpartum hemorrhage in Lagos, Nigeria: A prospective cohort study (Predict-PPH study).

Kehinde Sharafadeen OkunadeAloy O UgwuMuisi A AdenekanAyokunle OlumodejiYusuf A OshodiTemitope OjoAdebola A AdejimiIyabo Y AdemuyiwaVictoria AdaramoyeAustin C OkoroAtinuke OloweOlukayode O AkinmolaSarah O John-OlabodeHameed AdelabuRodrigo HenriquezTom DecrooLutgarde Lynen
Published in: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics (2024)
We 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.
Keyphrases
  • pregnant women
  • pregnancy outcomes
  • public health
  • polycystic ovary syndrome
  • breast cancer risk
  • skeletal muscle
  • adipose tissue