Citas bibligráficas
Cruz, M., (2015). Factores de riesgo maternos preconcepcionales y concepcionales del parto pretérmino en gestantes atendidas en el Hospital Santa Rosa, 2014 [Tesis, Universidad Nacional Mayor de San Marcos]. https://hdl.handle.net/20.500.12672/4068
Cruz, M., Factores de riesgo maternos preconcepcionales y concepcionales del parto pretérmino en gestantes atendidas en el Hospital Santa Rosa, 2014 [Tesis]. PE: Universidad Nacional Mayor de San Marcos; 2015. https://hdl.handle.net/20.500.12672/4068
@misc{renati/474734,
title = "Factores de riesgo maternos preconcepcionales y concepcionales del parto pretérmino en gestantes atendidas en el Hospital Santa Rosa, 2014",
author = "Cruz Trinidad, Mari Cinthia",
publisher = "Universidad Nacional Mayor de San Marcos",
year = "2015"
}
Objective: To study the maternal risk factors of preterm delivery in Santa Rosa de Lima National Hospital during 2014 Methods: Case-control study in 20 patients with preterm labor and 20 controls who delivered at term. The medical records were reviewed and a data sheet was prepared in SPSS.21 for descriptive analysis with significance level of p <0.05. It was considered as a risk factor if OR and 95% CI were> 1. The binary logistic regression analysis to assess the individual power factor and eliminate confounding factors was performed. Results: Significant factors pregestational maternal risk for our series were: socio-economic level (OR = 5.57 and 95% CI = 1420-21860), history of preterm delivery (OR = 35.29 and 95% CI = 3868-321932) and background prepregnancy maternal urinary infection. The significant maternal risk factors for gestational our series were: inadequate prenatal care (OR = 9.00 and 95% CI = 1638-49446) and urinary tract infection (OR = 4.64 and 95% CI = 1023-21004) Conclusions: Maternal risk factors of preterm delivery in Santa Rosa de Lima National Hospital were: history of preterm birth, maternal prepregnancy history of urinary tract infection and inadequate prenatal care. Keywords: preterm delivery risk factor, case-control study.
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