Objective: To develop a prediction rule using clinical admission characteri
stics for women treated with parenteral tocolysis for preterm labor who are
at highest risk of delivery within 48 hours.
Methods: We performed a case-control study of patients treated with magnesi
um sulfate for idiopathic preterm labor. A case was defined as a patient wh
o received magnesium sulfate tocolysis and delivered within 48 hours of adm
ission. We selected a 48-hour delay to delivery as a clinically relevant en
dpoint for the maximization of steroid benefit. Controls were patients who
received magnesium sulfate tocolysis and remained undelivered 48 hours afte
r admission. Cases and controls were identified by merging a pharmacy billi
ng database with International Classification of Disease codes for prematur
e labor. Medical records were reviewed and risk factor information was obta
ined. We focused on risk factors within the first hour of admission, becaus
e our goal was to identify patients at high risk of delivery early in their
hospital course. Backward stepwise logistic regression was used to develop
explanatory and predictive models. The focus of the predictive model was t
o maximize the test's sensitivity and negative predictive value.
Results: We identified 50 cases and 150 controls. The following six variabl
es were included in the initial multivariable models based on bivariate ana
lyses: white blood cell count at least 14.0 (1000/mu L), cervical dilation
at least 2 cm, bleeding, substance abuse, parity, and previous abortion. A
two-variable model containing cervical dilation and bleeding had an overall
accuracy of 73%, sensitivity of 62%, and specificity of 76%, and it was as
sensitive and specific as more complex models.
Conclusions: Cervical dilation of at least 2 cm and bleeding on admission h
ad an overall accuracy of 73% in predicting the likelihood of delivery with
in 48 hours in women receiving magnesium sulfate. (C) 1999 by The American
College of Obstetricians and Gynecologists.