Tesis Doctorado

Permanent URI for this collection

https://repositorio.udec.cl/handle/11594/233

Browse

Browsing Tesis Doctorado by Author "Guzmán Gutiérrez, Enrique Alberto"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Desarrollo y evaluación de métodos multivariados basados en datos gineco-obstétricos y espectrales de suero para la predicción de diabetes gestacional en el primer trimestre del embarazo.
    (Universidad de Concepción, 2023) Mennickent Barros, Daniela Francisca; Guzmán Gutiérrez, Enrique Alberto; Araya Quintana, Juan Andrés
    Introduction: Gestational diabetes mellitus (GDM) is a hyperglycemia state that is diagnosed in the second or third trimester of pregnancy, however by that time the fetal phenotype is already altered. Strategies to predict GDM in earlier stages of pregnancy are reported in literature; nevertheless they present low predictive power or require long times of analysis. General objective: To evaluate methods based on the multivariate analysis of gyneco-obstetrical and/or serum spectral data for the prediction of GDM in the first trimester of pregnancy. Analytical strategy: GDM predictive models were developed using single- and multi-block multivariate analysis techniques, and (1) gyneco-obstetrical data (53 clinical and 10 biochemical parameters); (2) near-infrared (NIR) serum spectral data; or (3) both (28 clinical parameters, and NIR). Results: The best models of (1), (2) and (3) achieved an area under the ROC curve of 0.867, 0.577 and 0.522, respectively. Only the first one increased the predictive power in comparison to the literature average. The best models of (2) and (3) achieved an analysis time of 32 minutes. Both decreased the time of analysis in comparison to the literature average. Conclusion: Strategies based on the multivariate analysis of first trimester gyneco-obstetrical and/or serum spectral data improve the prediction of GDM in early pregnancy, either by increasing the predictive power or by reducing the time of analysis.
Síguenos en...