OBJECTIVE:

To develop a predictive model for the calculation of specific risk factors per patient, for pregnancy-induced hypertension.

MATERIALS AND METHODS:

We carried out a prospective cohort study of pregnant women admitted during the first trimester. The variables measured were mean arterial pressure, body mass index, mean uterine-artery pulsatility index, placental growth factor, and pregnancy-associated plasma protein A, converted to multiples of the median (MoM). Maternal variables like age, previous preeclampsia and nulliparity were also evaluated through multiple regression analysis, specific predictive models of preeclampsia and gestational hypertension risks were created using the software BRAHMS Fast Screen Pre I plus, version 3.0.0.6, risk calculation version PE 1.0.

RESULTS:

A total of 132 patients were included in the study, mean age was 26.5 ± 6.6 years old, with a minimum and maximum age of 15 and 43; in 13 patients (9.9%) there was an elevated high risk for preeclampsia, in the remaining 119 (90.2%) patients, the risk was low. From the patients who developed preeclampsia near term (n = 10), high risk was predicted in2 of 3 patients (66.7%) with severity criteria; and for 1 of 7 patients (14.3%) who developed preeclampsia without severity criteria. The only case with early preeclampsia was found to be at high risk, as well as for 2 among 8 (25%) patients with late preeclampsia. The sensitivity of the predictive model for early preeclampsia was 100% with 90.4% specificity, and a LR+ of 10.4.

CONCLUSION:

The predictive model is of little use in the Mexican population with multiple risk factors for preeclampsia and gestational hypertension.

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