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Ginecología y obstetricia de México

Print version ISSN 0300-9041

Abstract

HIDALGO-CARRERA, Jaime Antonio et al. Association of levels of mean platelet volume and uric acid as predictive biomarkers of preeclampsia. Ginecol. obstet. Méx. [online]. 2021, vol.89, n.6, pp.431-437.  Epub Feb 28, 2021. ISSN 0300-9041.  https://doi.org/10.24245/gom.v89i6.5264.

OBJECTIVE:

To determine whether the association of the combination of serum concentrations of mean platelet volume and uric acid determined at 20 to 24 weeks of pregnancy are predictors of preeclampsia.

MATERIALS AND METHODS:

Case-control, retrospective, observational study consisting of the analysis of mean platelet volume and uric acid between 20 and 24 weeks of pregnancy. Study variables: age, body mass index greater than 25 kg/m2 (overweight and obesity), parity, family history of hypertension, exercise (more than 150 minutes per week), mean platelet and uric acid concentrations taken at 20 to 24 weeks of pregnancy, serum albumin, and spontaneous or assisted reproductive techniques pregnancy. The data were analyzed in the SPSS version 25 statistical package.

RESULTS:

A total of 122 cases and 199 controls were studied. According to the adjusted logistic regression model, we obtained an odds ratio (OR) for predicting preeclampsia of 4.383, with 95%CI: 1.980-9.705 for the elevation of mean platelet volume and an OR of 7.665 with 95%CI: 3.415-17.204 for the elevation of uric acid (p < 0.001). The other variables with statistical significance for risk of preeclampsia were: age, family history of arterial hypertension, conception by assisted reproduction techniques, multiple pregnancy, being primiparous and sedentary lifestyle.

CONCLUSION:

According to the results of this study, the increase in mean platelet volume (more than 9.7 fL) and uric acid (more than 4.9 mg/dL) between weeks 20 and 24 is a predictive biomarker of preeclampsia. Further studies are needed to confirm the validity and usefulness of these findings.

Keywords : Mean platelet volume; Uric Acid; Pre-Eclampsia; Biomarkers.

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