ANALYSIS OF THE EPIDEMIOLOGICAL PROFILE OF ADMISSIONS FOR POSTPARTUM HEMORRHAGE IN BRAZIL FROM 2018 TO 2023

Abstract

INTRODUCTION: Postpartum hemorrhage (PPH) is considered an obstetric emergency. It occurs when patients experience greater bleeding than expected in the first 24 hours after birth, which results in signs and symptoms of hypovolemia. It is believed that there are risk factors related to the morbidity and mortality of postpartum women due to PPH, among which the following stand out: history of previous PPH, nulliparity, multiple pregnancies or fetal macrosomia, placental anomalies, among others. OBJECTIVE: to evaluate the epidemiological profile of hospitalizations for postpartum hemorrhage from 2018 to 2023. METHODS: This is an ecological study, carried out based on data collection by the SUS Hospital Information System (SIH/SUS), made available by the secondary database of the Information Technology Department of the Unified Health System (TABNET/DATASUS). From them, descriptive statistical analyzes were carried out based on the following sociodemographic variables: Region, number of deaths, color/race and age. RESULTS: The results showed that the regions where hospitalizations predominate are: the Southeast Region with 6,492 hospitalizations, (40.4%) and the Northeast; According to color/race, there is a higher prevalence of hospitalizations in White women, the race with the lowest hospitalization rate is indigenous. In relation to age, the highest number of hospitalizations was among young women in the reproductive period, mainly between 20 and 29 years old, with 7,401 hospitalizations (46%). DISCUSSION AND CONCLUSION: Through the data obtained, it is possible to conclude that hospitalizations were more prevalent in the Southeast region, followed by the Northeast region. The study also observed a higher number of hospitalizations in younger women, in the 20-29 age group, which can be explained by the fertile age and the proportion of pregnancies that occur in this age group. According to color/race, we can analyze a dominance of hospitalizations in the Brown ethnicity. It is noted that other analyzes are necessary to confirm the trends in the data obtained by this study.