Mathematic modeling to predict abruptio placentae.
OBJECTIVE
This study was undertaken to identify correlates of abruptio placentae and to develop a mathematic model for the prediction of abruptio placentae.


METHODS
A total of 170,258 singleton birth records from 1991 to 1996 contained in the Schleswig-Holstein perinatal database were analyzed. Fifty-two recognized obstetric risk factors were subjected to univariate analysis. Correlates of abruptio placentae then underwent stepwise forward binary logistic regression. A constant value B(0), coefficients B(1) through B(p), an odds ratio, and a 95% confidence interval were calculated for individual correlates.


RESULTS
Abruptio placentae occurred in 874 of 170,258 singleton gestations (0.5%). Of the 52 risk factors 31 proved to be correlates of abruptio placentae, with 16 among primiparous women and 25 among multiparous women. Ten correlates for primiparous, women and 13 for multiparous women emerged from the linear regression, with 7 correlates being shared by both primiparous and multiparous women.


CONCLUSIONS
The probability that abruptio placentae will occur (p) can be calculated according to the following expression: p = e (z)/(1 + e (z)), where z = B(0) + B(1), em leaderB(p). For example, for a primiparous woman who smokes with bleeding at >28 weeks' gestation and a male fetus in the breech position, the following calculation would yield the chance of abruptio placentae:z = -2.25 + 2.51 + 0.41 + 0.24 + 0.60 = 1.51; p = e (1.51)/ (1 + e (1.51)) = 4. 53/5.53 = 0.82, or 82%.
Baumann
P
P
Department of Obstetrics and Gynecology, Detroit Medical Center-Hutzel Hospital, Wayne State University, Detroit, MI 48201, USA.
Blackwell
S C
SC
Schild
C
C
Berry
S M
SM
Friedrich
H J
HJ
D000037:Abruptio Placentae / Q000453:epidemiology / Q000209:etiology*; D016022:Case-Control Studies; D002585:Cesarean Section; D005260:Female; D005544:Forecasting; D005858:Germany; D006801:Humans; D015994:Incidence; D007751:Labor, Induced; D008423:Maternal Age; D008954:Models, Biological; D010298:Parity; D011247:Pregnancy; D011272:Pregnancy, Multiple; D012044:Regression Analysis; D012189:Retrospective Studies; D012307:Risk Factors