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Objectives: There 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. Methods: This 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. Results: The 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). Conclusion: 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. Synopsis: We recorded a postpartum hemorrhage (PPH) prevalence of 37.1%. The developed prediction model in the study performed satisfactorily in identifying women at risk of PPH. [ABSTRACT FROM AUTHOR]

Background: The study determined the pattern and distribution of gynaecological cancer cases seen at a university teaching hospital in southwest Nigeria over a 5-year period. Methodology: It was a 5-year retrospective review of all gynaecological cancer cases seen and managed at the hospital from 1 September 2013 to 31 August 2018. Results: A total of 6247 gynaecological admissions and 902 gynaecological cancers were seen in the hospital during the study period accounting for a proportion of 14.4%. Of these 902 cases, 835 (92.6%) women had their detailed records available for data extraction and analyses. Cervical cancer was the most commonly seen malignancy (61.7%). The mean age of the patients was 52.5 ± 12.4 years with the largest proportion of the women being in the age group of 50-59 years (26.9%). A large proportion (35.6%) of the patientshad a parity of 5 or more with an overall median parity of 4 (1QR, 1-5) while the largest proportion (59.1%) were postmenopausal women. The highest mean age was seen in women with vulvar cancer (67.2 ± 0.6 years) while the lowest was in those with sarcoma botryoides (12.3±1.01 years). Conclusion: There was a steady annual increase in the number of gynaecological cancer cases at the hospital during the period under review. The most common cancers seen in this study are associated with advanced age, increased parity and postmenopausal status. There is a need for improved public enlightenment on the importance of routine screening and for consistent government policy on the institution of an effective organised screening programme for cervical cancer. [ABSTRACT FROM AUTHOR]