- Research Grants
|Support type:||Scholarships in Brazil - Scientific Initiation|
|Effective date (Start):||September 01, 2018|
|Effective date (End):||July 31, 2019|
|Field of knowledge:||Health Sciences - Medicine - Maternal and Child Health|
|Principal Investigator:||Maria Laura Costa Do Nascimento|
|Home Institution:||Centro de Atenção Integral à Saúde da Mulher (CAISM). Hospital da Mulher Professor Doutor José Aristodemo Pinotti. Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil|
Hypertensive syndromes are, according to the World Health Organization, one of the main causes of maternal mortality in the world, in which preeclampsia has an important role. Preeclampsia is a multifactorial disease that occurs when there is impairment between the balance of pro-angiogenic and anti-angiogenic factors in the trophoblast invasion, manifesting itself from the twentieth week of pregnancy in normotensive patients. In order to better understand and manage properly this pathology, many studies are being conducted. The fullpiers model performs an initial assessment of the patient with preeclampsia by calculating the percentage risk of a fatal outcome or severe complication over a 7-day period. The use of this model could help physicians better manage preeclampsia cases and assist the best moment to intervene, avoiding unnecessary prematurity. Objective: To better understand the management of pregnant women with preeclampsia who had their delivery in reference service, as well as to simulate the use of the fullpiers risk calculator in them, in order to establish a relation between the calculated theoretical value and the outcome in each case. Materials and Methods: A retrospective cohort study with pregnant women assessed in the period from February 2017 to February 2018. For the analysis of variables associated with deleterious complications or effects, Student's t-tests, Mann-Whitney, chi-square and Fisher's exact tests will be used. To evaluate the performance of the full peers calculator will be constructed a ROC curve. Values of p < 0.05 will be considered significant.