Gaceta medica de Mexico · 2021
Validation of a preeclampsia early screening test in a Mexican population.
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Oviedo-Cruz Héctor, Carrasco-Blancas Erika R, Cortes-Martínez Marco A
Аннотация
BACKGROUND: No preeclampsia screening test has been validated in our country.
OBJECTIVE: To assess the fit and performance of the FMF 4.0 Bayesian algorithm in a Mexican population.
METHOD: Cohort study in singleton pregnancies, according to the competing risks model for preeclampsia. A priori risk was calculated based on medical history. Mean blood pressure (MBP), uterine artery mean pulsatility index (UtAmPI) and pregnancy-associated plasma protein A (PAPP-A) were measured at 11-14 weeks of gestation using standardized methodology. The value of each marker was transformed into multiples of the median (MoM) by the originala algorithm and by population-correctionb. Multivariate normal distribution and Bayes theorem were applied to obtain post-test probabilities.
RESULTS: There was 5.0% (40/807) of preeclampsia. Distributions in women without preeclampsia were MBP = 0.927a vs. 0.991b, UtAmPI = 0.895a vs. 1.030b and PAPP-A = 0.815a vs. 0.963b (p < 0.001). The AUC was 0.821a vs. 0.823b. For a detection rate of 69 %, cutoff points were 1 in 240a and 1 in 120b, with false positive rates of 31 %a and 29 %b.
CONCLUSIONS: The model has to be adjusted to the target population.
OBJECTIVE: To assess the fit and performance of the FMF 4.0 Bayesian algorithm in a Mexican population.
METHOD: Cohort study in singleton pregnancies, according to the competing risks model for preeclampsia. A priori risk was calculated based on medical history. Mean blood pressure (MBP), uterine artery mean pulsatility index (UtAmPI) and pregnancy-associated plasma protein A (PAPP-A) were measured at 11-14 weeks of gestation using standardized methodology. The value of each marker was transformed into multiples of the median (MoM) by the originala algorithm and by population-correctionb. Multivariate normal distribution and Bayes theorem were applied to obtain post-test probabilities.
RESULTS: There was 5.0% (40/807) of preeclampsia. Distributions in women without preeclampsia were MBP = 0.927a vs. 0.991b, UtAmPI = 0.895a vs. 1.030b and PAPP-A = 0.815a vs. 0.963b (p < 0.001). The AUC was 0.821a vs. 0.823b. For a detection rate of 69 %, cutoff points were 1 in 240a and 1 in 120b, with false positive rates of 31 %a and 29 %b.
CONCLUSIONS: The model has to be adjusted to the target population.