112449 20240319080951.0 doi 10.3390/jpm12050762 sideral 128523 ART-2022-128523 eng Dieste-Pérez, Peña Universidad de Zaragoza Personalized Model to Predict Small for Gestational Age at Delivery Using Fetal Biometrics, Maternal Characteristics, and Pregnancy Biomarkers: A Retrospective Cohort Study of Births Assisted at a Spanish Hospital 2022 Access copy available to the general public Unrestricted Small for gestational age (SGA) is defined as a newborn with a birth weight for gestational age < 10th percentile. Routine third-trimester ultrasound screening for fetal growth assessment has detection rates (DR) from 50 to 80%. For this reason, the addition of other markers is being studied, such as maternal characteristics, biochemical values, and biophysical models, in order to create personalized combinations that can increase the predictive capacity of the ultrasound. With this purpose, this retrospective cohort study of 12,912 cases aims to compare the potential value of third-trimester screening, based on estimated weight percentile (EPW), by universal ultrasound at 35–37 weeks of gestation, with a combined model integrating maternal characteristics and biochemical markers (PAPP-A and β-HCG) for the prediction of SGA newborns. We observed that DR improved from 58.9% with the EW alone to 63.5% with the predictive model. Moreover, the AUC for the multivariate model was 0.882 (0.873–0.891 95% C.I.), showing a statistically significant difference with EPW alone (AUC 0.864 (95% C.I.: 0.854–0.873)). Although the improvements were modest, contingent detection models appear to be more sensitive than third-trimester ultrasound alone at predicting SGA at delivery. info:eu-repo/grantAgreement/ES/DGA/E46-20R info:eu-repo/grantAgreement/ES/MICINN/PID2020-116873GB-I00 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.4 2022 MEDICINE, GENERAL & INTERNAL 67 / 169 = 0.396 2022 Q2 T2 HEALTH CARE SCIENCES & SERVICES 42 / 106 = 0.396 2022 Q2 T2 0.665 2022 Medicine (miscellaneous) 2022 Q2 2.6 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Savirón-Cornudella, Ricardo Universidad de Zaragoza (orcid)0000-0001-9585-0187 Tajada-Duaso, Mauricio Universidad de Zaragoza (orcid)0000-0003-4720-8231 Pérez-López, Faustino R. (orcid)0000-0002-2801-416X Castán-Mateo, Sergio Universidad de Zaragoza (orcid)0000-0002-9048-121X Sanz, Gerardo (orcid)0000-0002-3007-302X Esteban, Luis Mariano Universidad de Zaragoza (orcid)0000-0002-6474-2252 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 1003 027 Universidad de Zaragoza Dpto. Anatom.Histolog.Humanas Area Anatom.Embriol.Humana 1013 645 Universidad de Zaragoza Dpto. Cirugía Área Obstetricia y Ginecología 12, 5 (2022), 762 [12 pp.] J. pers. med. Journal of Personalized Medicine 2075-4426 1788892 http://zaguan.unizar.es/record/112449/files/texto_completo.pdf Versión publicada 2907895 http://zaguan.unizar.es/record/112449/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:112449 articulos driver 2024-03-18-13:03:10 ARTICLE