RESUMEN
INTRODUCTION: Placenta accreta spectrum is a major obstetric disorder that is associated with significant morbidity and mortality. The objective of this study is to establish a prediction model of clinical outcomes in these women. MATERIALS AND METHODS: PAS-ID is an international multicenter study that comprises 11 centers from 9 countries. Women who were diagnosed with PAS and were managed in the recruiting centers between 1 January 2010 and 31 December 2019 were included. Data were reanalyzed using machine learning (ML) models, and 2 models were created to predict outcomes using antepartum and perioperative features. ML model was conducted using python® programing language. The primary outcome was massive PAS-associated perioperative blood loss (intraoperative blood loss ≥2500 ml, triggering massive transfusion protocol, or complicated by disseminated intravascular coagulopathy). Other outcomes include prolonged hospitalization >7 days and admission to the intensive care unit (ICU). RESULTS: 727 women with PAS were included. The area under curve (AUC) for ML antepartum prediction model was 0.84, 0.81, and 0.82 for massive blood loss, prolonged hospitalization, and admission to ICU, respectively. Significant contributors to this model were parity, placental site, method of diagnosis, and antepartum hemoglobin. Combining baseline and perioperative variables, the ML model performed at 0.86, 0.90, and 0.86 for study outcomes, respectively. Ethnicity, pelvic invasion, and uterine incision were the most predictive factors in this model. DISCUSSION: ML models can be used to calculate the individualized risk of morbidity in women with PAS. Model-based risk assessment facilitates a priori delineation of management.
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Placenta Accreta , Femenino , Humanos , Embarazo , Placenta Accreta/cirugía , Placenta Accreta/diagnóstico , Placenta , Pérdida de Sangre Quirúrgica , Transfusión Sanguínea , Aprendizaje Automático , Estudios Retrospectivos , Histerectomía/métodosRESUMEN
OBJECTIVE: To create a model for prediction of success of uterine-preserving procedures in women with placenta accreta spectrum (PAS). METHODS: PAS-ID is a multicenter study that included 11 centers from 9 countries. Women with PAS, who were managed between January 1, 2010 and December 31, 2019, were retrospectively included. Data were split into model development and validation cohorts, and a prediction model was created using logistic regression. Main outcome was success of uterine preservation. RESULTS: Out of 797 women with PAS, 587 were eligible. Uterus-preserving procedures were successful in 469 patients (79.9%). Number of previous cesarean sections (CS) was inversely associated with management success (adjusted odds ratio [aOR] 0.02, 95% confidence interval [CI] 0.001-3.63 with five previous CS). Other variables were complete placental invasion (aOR 0.14, 95% CI 0.05-0.43), type of CS incision (aOR 0.04, 95% CI 0.01-0.25 for classical incision), compression sutures (aOR 2.48, 95% CI 1.00-6.16), accreta type (aOR 3.76, 95% CI 1.13-12.53), incising away from placenta (aOR 5.09, 95% CI 1.52-16.97), and uterine resection (aOR 102.57, 95% CI 3.97-2652.74). CONCLUSION: The present study provides a prediction model for success of uterine preservation, which may assist preoperative and intraoperative decisions, and promote incorporation of uterine preservation procedures in comprehensive PAS protocols.
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Placenta Accreta/cirugía , Placenta/cirugía , Útero/cirugía , Adulto , Cesárea , Femenino , Humanos , Histerectomía , Embarazo , Estudios RetrospectivosRESUMEN
Preeclampsia is the major cause of both maternal and neonatal morbidity and mortality. Its insidence remains high and the management has not been established yet because its etiology and pathophysiological are still poorly understood. Theories regarding etiopathogenesis and management of preeclampsia have been postulated yet it remains controversial. Placental ischemic and angiogenic imbalance are suggested to be predisposing factors of preeclampsia. It is thereby targeted in prevention of preeclampsia. Unfortunately, both primary and secondary prevention using various supplements and drugs fails to exhibit good outcome. Overall, these efforts are considered useless. In recent years, researchers have been using statin derivative in management of preclampsia. It has been reported that statin provides protective effect in endothelial cells by inducing expression of Hmox-1 and inihibiting release of sFlt-1 as well as potent antioxidant properties. Thus, statin has been proposed as promising agent to significantly reduce anti-angiogenic in preeclamptic patients which is overviewed in this review based on recent studies.
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Hemo-Oxigenasa 1/genética , Hidroximetilglutaril-CoA Reductasas/uso terapéutico , Inhibidores de Hidroximetilglutaril-CoA Reductasas/uso terapéutico , Preeclampsia/tratamiento farmacológico , Regulación hacia Arriba/efectos de los fármacos , Animales , Antioxidantes/farmacología , Antioxidantes/uso terapéutico , Femenino , Hemo-Oxigenasa 1/metabolismo , Humanos , Hidroximetilglutaril-CoA Reductasas/farmacología , Inhibidores de Hidroximetilglutaril-CoA Reductasas/farmacología , Preeclampsia/genética , Preeclampsia/metabolismo , Preeclampsia/patología , Embarazo , Receptor 1 de Factores de Crecimiento Endotelial Vascular/metabolismoRESUMEN
BACKGROUND: Preeclampsia is a major cause of morbidity and mortality, both maternal and perinatal. The etiology and pathophysiology of preeclampsia remain unknown. Research shows the implantation of the placenta in preeclampsia occurs due to incomplete angiogenic imbalance as one of the preeclampsia pathogenesis. PlGF is angiogenic protein which is synthesized in placenta by mRNA PlGF. When damage occurs, mRNA will be released from cell and form cell-free mRNA. This study aims to analyze the differences between the PlGF mRNA expression in severe preeclampsia and normal pregnancy as well as to measure the relationship between cell-free mRNA and levels of PlGF with the incidence of severe preeclampsia. METHODS: The method used in this study is an observational analytic study with cross-sectional design. Blood samples were obtained from patients with preeclampsia and normal pregnancies as the controlling factors in accordance with inclusion and exclusion criterias. Examination of the PlGF level was measured by ELISA method and mRNA PIGF expression was measured by RT-PCR. Physical and laboratory examinations of patients were recorded and collected as data. Calculations were done by statistical analysis. RESULTS: Mean of the cell-free mRNA PlGF expression level in severe preeclampsia is 2.2983 ng/mL within the scale of 1.96-2.83 ng/mL and deviation standard of 0.1897. Using Pearson Analysis Test, the result shows that there is a positive correlation between cell-free mRNA expression and PlGF protein level in severe preeclampsia, with r = 0.640 dan p < 0.004. CONCLUSION: There is no difference between expression of cell-free mRNA PlGF in severe preeclampsia serum and normal pregnancy. There is a significant correlation between expression of cell-free mRNA and PlGF protein level in severe preeclampsia.