Logistic regression model for determining risks factor for hypertensive disorders in pregnancy

Anna Gabriela Pérez*, Elizabeth Torres Rivas, Francklin Rivas Echeverría, Carlos Rivas Echeverría

*Autor correspondiente de este trabajo

Producción científica: RevistaArtículorevisión exhaustiva

2 Citas (Scopus)

Resumen

Preeclampsia (PE), one of the hypertensive disorders of pregnancy (HDP), is the onset of hypertension accompanied with proteinuria that occurs after 20th week of gestation. It is a syndrome of worldwide distribution, that complicates up to 10% of pregnancies and remain as the major cause of maternal and neonatal mortality and morbidity [1, 13]. Multiple conditions have been associated with an increased risk for PE like maternal age, nulliparity, previous preeclampsia, obesity, hypertension, among others. In this study, a logistic regression model was performed in order to estimate main risk factors for PE and others HDP.

Idioma originalInglés
Páginas (desde-hasta)2135-2139
Número de páginas5
PublicaciónWSEAS Transactions on Systems
Volumen5
N.º9
EstadoPublicada - sep. 2006
Publicado de forma externa

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