What is the risk factor of preeclampsia?: Hospital-based case-control study.
- Author:
Jung Bo YANG
1
;
Byung Hun KANG
;
Young Bok KO
;
Chan Joon PARK
;
Heon Jong YOO
;
Yun Ee LEE
;
Kil Chun KANG
;
Heung Tae NOH
Author Information
1. Department of Obstetrics and Gynecology, College of Medicine, Chungnam National University, Daejeon, Korea.
- Publication Type:Original Article
- Keywords:
Preeclampsia;
Risk factor
- MeSH:
Body Height;
Case-Control Studies*;
Chungcheongnam-do;
Diabetes, Gestational;
Female;
Humans;
Hypertension;
Incidence;
Logistic Models;
Parity;
Pre-Eclampsia*;
Pregnancy;
Pregnant Women;
Retrospective Studies;
Risk Factors*
- From:Korean Journal of Obstetrics and Gynecology
2004;47(12):2325-2332
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVE: To assess several variables that are known as the risk factor of preeclampsia. METHODS: We have studied with 279 pregnant women who were diagnosed with preeclampsia and went through delivery in Chungnam University from January, 1998 to December, 2002. For control group, we chose 364 non-hypertensive pregnant women who went through delivery from January, 2002 to December, 2002 through random process. Through reviewing each patient's chart, we collected data regarding age, parity, past medical history, past obstetric history, family history, presence of gestational diabetes, height, body weight, before and at the time of delivery, delivery mode and neonatal outcomes. Statistical analysis was performed using x2-test, Student t-test. A value of p below 0.05 was considered to show statistical significance. RESULTS: During the study period, 298 women had preeclampsia so that the incidence of preeclampsia was 6.0%. Age and past medical history were not related to preeclampsia. The primiparous women in this study are likely to show a higher incidence of preclampsia (OR 1.35, 95% CI 1.16-1.5, p=0.017). In addition, women whose BMI are ranged from 25.0 kg/m2 to 30.0 kg/m2 (p=0.027), and ranged from 30.0 kg/m2 to 40.0 kg/m2 (p=0.027) had a higher incidence of preeclampsia. By using a multiple logistic regression analysis about the BMI changes, we found out that there was a higher rate of preeclmapsia among pregnant women with over 7.11 kg/m2 BMI increasement compared with BMZ before pregnancy (OR=2.97, 95% CI 2.22-3.99, p<0.05). Finally, women who had previous preeclmapsia were in a higher reoccurrence. According to the study, those who have hypertensive family history and twin gestation showed significantly higher risk in the incidence of preeclampsia as 1.92 fold (95% CI 1.38-2.66 and 2.61 fold (95% CI 1.29-5.29) retrospectively. CONCLUSION: Women with primiparity, BMI>or=25.0 kg/m2, previous preeclampsia, family history of chronic hypertension, twin gestation showed an increased risk of preeclampsia.
