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VALIDACIÓN DEL VOLUMEN PLA-QUETARIO MEDIO COMO PREDICTOR DE SEVERIDAD DE PREECLAMPSIA

Translated title of the contribution: Validation of mean platelet volume as a predictor of severity of preeclampsia
  • Universidad de Cuenca
  • Universidad Católica de Cuenca

Research output: Contribution to journalArticlepeer-review

Abstract

Preeclampsia is a serious complication that can occur during pregnancy, and is associated with considerable maternal and fetal morbidity and mortality. Therefore, laboratory tests that allow its prediction are undoubtedly of great support in obstetric practice. The objective of this study was to determine the validity of the mean platelet volume as a predictor of the severity of preeclampsia in patients treated at the Vicente Corral Moscoso Hospital, in the period 2019. This is a diagnostic test validation study. 387 pregnant women who met the inclusion criteria were included. For the diagnosis of severity of preeclampsia, the protein/creatinine index was applied. To determine the validity of the mean platelet volume in severity, the cut-off point for this population of >11.65 fl was used, obtained using the Youden Index. Descriptive statistics and sensitivity, specificity, predictive va-lues, ROC curve and Fagan’s nanogram were applied. Mean platelet volume did not prove to be a test with optimal predictive capacity for the severity of preeclamptic symptoms, since the value of the area under the curve was 0.44 (95% CI = 0.38-0.50), however, the proportion of women confirmed as mild preeclamptic by the negative result of the test (≤ 11.65 fL) was 87.92% (95% CI = 82.35 – 93.49). The pre-test probability corresponds to the prevalence of severe preeclampsia of 61% with a likelihood ratio of 1.89, however, with a positive result of MPV (>11.65), the frequency of presentation of severe preeclampsia increased to 75%.

Translated title of the contributionValidation of mean platelet volume as a predictor of severity of preeclampsia
Original languageSpanish
Pages (from-to)143-155
Number of pages13
JournalInvestigacion Clinica (Venezuela)
Volume63
StatePublished - 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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