Description

Rossi et al reported a predictive model for maternal admission to the intensive care unit (ICU). This can identify a patient who may require more aggressive management. The authors are from the University of Cincinnati and Cincinnati Children's Hospital.


Patient selection: pregnant female

 

Parameters:

(1) maternal age

(2) chronic hypertension

(3) pregestational diabetes mellitus

(4) gestational hypertension or pre-eclampsia

(5) gestational age in weeks

(6) prepregnancy body mass index in kilograms per square meter

(7) maternal race

(8) scheduled cesearean delivery

(9) Medicaid

(10) interpregnancy interval in months

(11) number of prior births (parity)

(12) induction of labor

(13) sexually-transmitted infection (STI) during pregnancy

(14) prior preterm birth

 

Parameter

Finding

Points

maternal age

< 35 years

0

 

>= 35 years

0.267

chronic hypertension

no

0

 

yes

0.806

pregestational diabetes

no

0

 

yes

0.420

gestational hypertension or pre-eclampsia

no

0

 

yes

0.861

gestational age in weeks

 

-0.214 * (weeks)

body mass index

< 50

0

 

>= 50

0.535

race

white

0

 

black

0.241

 

Hispanic

0.202

 

other

0.421

scheduled cesarean

no

0

 

yes

1.557

Medicaid

no

0

 

yes

0.222

interpregnancy interval

 

0.002 * (months)

parity

 

0.121 * (births)

induction of labor

no

0

 

yes

0.972

STI during pregnancy

no

0

 

yes

0.268

prior preterm birth

no

0

 

yes

0.368

 

value of X =

= SUM(points for the 14 parameters) - 0.722

 

probability of ICU admission =

= 1 / (1 + EXP((-1) * X))


To read more or access our algorithms and calculators, please log in or register.