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Can we predict placental abruption based on obstetrical history?
Tamar Wainstock
,
Gali Pariente
,
Eyal Sheiner
Department of Epidemiology, Biostatistics and Community Health Sciences
Faculty of Health Sciences
Division of Obstetrics and Gynecology
Research output
:
Contribution to journal
›
Meeting Abstract
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Keyphrases
Placental Abruption
100%
Obstetrical History
100%
First Pregnancy
66%
Abruption
33%
Risk Factors
22%
Subsequent Pregnancy
22%
Pregnancy Complications
22%
Second Pregnancy
22%
Complications;
22%
Identify Risk
11%
Population-based
11%
Maternal Age
11%
Multivariable Model
11%
Preterm Delivery
11%
Preeclampsia
11%
Small-for-gestational Age
11%
Interpregnancy Interval
11%
Singleton
11%
Perinatal Mortality
11%
Nested Case-control Study
11%
Window of Opportunity
11%
Multivariable Logistic Regression Model
11%
Perinatal Morbidity
11%
Medicine and Dentistry
Pregnancy Complication
100%
Logistic Regression Analysis
50%
Maternal Age
50%
Premature Labor
50%
Pre-Eclampsia
50%
Small for Gestational Age
50%
Perinatal Mortality
50%
Perinatal Morbidity
50%
Case-Control Study
50%
Preterm Delivery
50%
Immunology and Microbiology
Small for Date Infant
100%
Maternal Age
100%
Perinatal Morbidity
100%
Perinatal Mortality
100%