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Pan, J.Y., Wang, L., Liu, K.F. and Xie, S.Y. (2024) Importance of Factors Affecting Uterine Atony Analysis Based on Neural Networks. Med Discoveries, 3, Article 1229.
https://doi.org/10.52768/2993-1142/1229

has been cited by the following article:

• TITLE: Predictors of Postpartum Hemorrhage among Women Delivering Vaginally at Public Hospitals in Lusaka, Zambia

  AUTHORS: Astridah K. Y. Maseka, Choongo Mulungu, Mwansa K. Lubeya, Patrick Kaonga, Andrew Kumwenda

  KEYWORDS: Postpartum Hemorrhage, Vaginal Delivery, Risk Factors, Lusaka, Predictors

  JOURNAL NAME: Surgical Science, Vol.17 No.1, January 14, 2026

  ABSTRACT: Primary postpartum hemorrhage (PPH) remains a major contributor to maternal morbidity and mortality in resource-limited settings. In this case-control study of 318 women delivering vaginally at public hospitals in Lusaka, Zambia, prolonged third stage of labor and specific intrapartum complications were independently associated with primary PPH. Duration of the third stage of labor was associated with increased odds of PPH (adjusted odds ratio [aOR] 1.1, 95% CI 1.05 - 1.46, P = 0.048). Uterine atony (aOR 7.4, 95% CI 4.5 - 14.6, P