Year: 2013
Type: article
Study design: Observational Study
Abstract: BACKGROUND: To determine the major predictive factors for fetal acidemia in placental abruption. METHODS: A retrospective review of pregnancies with placental abruption was performed using a logistic regression model. Fetal acidemia was defined as a pH of less than 7.0 in umbilical artery. The severe abruption score, which was derived from a linear discriminant function, was calculated to determine the probability of fetal acidemia. RESULTS: Fetal acidemia was seen in 43 survivors (43/222, 19%). A logistic regression model showed bradycardia (OR (odds ratio) 50.34, 95% CI 11.07-228.93), and late decelerations (OR 15.13, 3.05-74.97), but not abnormal ultrasonographic findings were to be associated with the occurrence of fetal acidemia. The severe abruption score was calculated for the occurrence of fetal acidemia, using 6 items including vaginal bleeding, gestational age, abdominal pain, abnormal ultrasonographic finding, late decelerations, and bradycardia. CONCLUSIONS: An abnormal FHR pattern, especially bradycardia is the most significant risk factor in placental abruption predicting fetal acidemia, regardless of the presence of abnormal ultrasonographic findings or gestational age.
Source: BMC Pregnancy and Childbirth
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,290
Funders: National Center for Child Health and Development, Asahikawa Medical University, Kindai University, National Center for Global Health and Medicine, National Defense Medical College, University of Occupational and Environmental Health, Jichi Medical University, Kanazawa Medical University, Shimane University, Wakayama Medical University, University of Tokyo, Fukuoka University, Nara Medical University, Hyogo College of Medicine, Hirosaki University, Hokkaido University, Kitasato University, Tokyo Medical and Dental University, Jikei University School of Medicine, University of the Ryukyus, Tokyo Women's Medical University
OpenAlex ID: W2133241972