Suksai et al reported a score for predicting preeclampsia in early pregnancy. This can help to identify a patient who may need more aggressive management. The authors are from Prince of Songkla University in Thailand.
Patient selection: woman in early pregnancy
Parameters:
(1) age in years
(2) body mass index (BMI) in kg per sq m
(3) multifetal pregnancy
(4) history of preeclampsia
(5) adverse perinatal outcomes
(6) pregnancy interval in years
(7) nulliparous
(8) underlying renal disease
(9) chronic hypertension
(10) autoimmune disease
(11) diabetes
(12) mean arterial pressure in mm Hg
Parameter
Finding
Points
age in years
< 30 years
0
>= 30 years
3
body mass index
< 25 kg per sq m
0
>= 25 kg per sq m
2
multifetal pregnancy
no
0
yes
9
history of preeclampsia
no
0
yes
9
adverse perinatal outcomes
no
0
yes
8
pregnancy interval
<= 10 years
0
> 10 years
5
nulliparous
no
0
yes
5
underlying renal disease
no
0
yes
10
chronic hypertension
no
0
yes
6
autoimmune disease
no
0
yes
5
diabetes
no
0
yes
2
mean arterial pressure
< 95 mm Hg
0
>= 95 mm Hg
5
where:
• A positive response to pregnancy interval excludes being nulliparous.
total score =
= SUM([points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: 64
Score
Risk Category
0 to 8
low
9 to 13
high
>= 14
very high
Performance:
• The area under the ROC curve is 0.77.
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