Diagnostic evaluation of a prediction nomogram for preeclampsia

Descripción del Articulo

Objective. Determine the study of the diagnostic test of the prediction nomogram for the risk of preeclampsia. Material and method. A nested case-control analytical observational study and validation of the proposed prediction index was performed with the design of a nomogram. It was perfor...

Descripción completa

Detalles Bibliográficos
Autores: Alegría-Guerrero, Raúl, Gonzales-Medina, Carlos
Formato: artículo
Fecha de Publicación:2019
Institución:Instituto Nacional Materno Perinatal
Repositorio:Revista Peruana de Investigación Materno Perinatal
Lenguaje:español
OAI Identifier:oai:ojs.www.fracturae.com:article/114
Enlace del recurso:https://investigacionmaternoperinatal.inmp.gob.pe/index.php/rpinmp/article/view/114
Nivel de acceso:acceso abierto
Materia:Preeclampsia
Predicción
Nomograma
Prediction
Nomogram
Descripción
Sumario:Objective. Determine the study of the diagnostic test of the prediction nomogram for the risk of preeclampsia. Material and method. A nested case-control analytical observational study and validation of the proposed prediction index was performed with the design of a nomogram. It was performed at the Guillermo Almenara Irigoyen-EsSalud Hospital, Lima-Peru, and Fetal Medicine Unit. Participated asymptomatic pregnant patients of the Almenara-EsSalud Healthcare Network between the first or second trimester of pregnancy that developed or not at the end of the follow-up severe preeclampsia. The clinical, laboratory and Doppler predictors of the uterine arteries were evaluated. The data obtained were analyzed under a multivariate binary logistic regression model to construct the prediction equation and the prediction nomogram. In addition, the ROC curve analysis was performed. Results. The prediction nomogram includes clinical, laboratory and Doppler parameters. It has an area under the curve (AROC) of 0,82, p <0,001. The proposed nomogram qualifies risks in high, intermediate and low. It reaches a sensitivity of 82,2%, a specificity of 75,1%, a VPN 86,6% and a PPV of 98,8%. Conclusions: The nomogram to predictor of risk of severe preeclampsia proposed preeclampsia predicts the development with high sensitivity can be used in clinical practice.
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).