Multivariate logistic regression has shown that the following variables are independent risk factors for preeclampsia: age, BMI, parity, and twin pregnancy. Moreover, preeclampsia is significantly associated with the examined clinical effects, confirming itself as a leading cause of maternal-fetal morbidity.
Pandolfo, M.C., Catania, M., Dardanoni, G., Rinoldo, C., Bertolazzi, G., Ferrara, C., et al. (2016). Epidemiology of preeclampsia in a Sicilian Hospital. GIORNALE ITALIANO DI OSTETRICIA E GINECOLOGIA, 38(1), 171-175.
Epidemiology of preeclampsia in a Sicilian Hospital
Pandolfo, MCPrimo
;Bertolazzi, G;
2016-01-01
Abstract
Multivariate logistic regression has shown that the following variables are independent risk factors for preeclampsia: age, BMI, parity, and twin pregnancy. Moreover, preeclampsia is significantly associated with the examined clinical effects, confirming itself as a leading cause of maternal-fetal morbidity.
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