Electrohysterogram for ANN-Based Prediction of Imminent Labor in Women with Threatened Preterm Labor Undergoing Tocolytic Therapy

Data de publicació: 01/05/2020 Data Ahead of Print: 08/05/2020

Autors de IIS La Fe

José Alberola Rubio

Autor
Isauro Rogelio Monfort Ortiz

Autor
Clara Martinez Saez

Autor
Alfredo José Perales Marín

Autor

Autors aliens a IIS La Fe

Mas-Cabo, J
Prats-Boluda, G
Garcia-Casado, J
Ye-Lin, Y

Grups d'Investigació

Medicina Reproductiva

Investigador Principal

José Morales Roselló

Abstract

Threatened preterm labor (TPL) is the most common cause of hospitalization in the second half of pregnancy and entails high costs for health systems. Currently, no reliable labor proximity prediction techniques are available for clinical use. Regular checks by uterine electrohysterogram (EHG) for predicting preterm labor have been widely studied. The aim of the present study was to assess the feasibility of predicting labor with a 7- and 14-day time horizon in TPL women, who may be under tocolytic treatment, using EHG and/or obstetric data. Based on 140 EHG recordings, artificial neural networks were used to develop prediction models. Non-linear EHG parameters were found to be more reliable than linear for differentiating labor in under and over 7/14 days. Using EHG and obstetric data, the <7- and <14-day labor prediction models achieved an AUC in the test group of 87.1 +/- 4.3% and 76.2 +/- 5.8%, respectively. These results suggest that EHG can be reliable for predicting imminent labor in TPL women, regardless of the tocolytic therapy stage. This paves the way for the development of diagnostic tools to help obstetricians make better decisions on treatments, hospital stays and admitting TPL women, and can therefore reduce costs and improve maternal and fetal wellbeing.

Dades de la publicació

ISSN/ISSNe:: 1424-8220, 1424-8220
Tipus:: Article
Pàgines:: -
DOI:: 10.3390/s20092681
PubMed:: 32397177
Factor d'Impacte:: 0,636 SCImago ℠
Quartil:: Q2 SCImago ℠

Documents

No hi ha documents

Mètriques

Filiacions

Mas-Cabo, J:: Univ Politecn Valencia, Ctr Invest & Innovac Bioingn, Valencia 46022, Spain
Prats-Boluda, G:: Univ Politecn Valencia, Ctr Invest & Innovac Bioingn, Valencia 46022, Spain
Garcia-Casado, J:: Univ Politecn Valencia, Ctr Invest & Innovac Bioingn, Valencia 46022, Spain
Alberola-Rubio, J:: Hosp Univ Politecn La Fe, Serv Obstet, Valencia 46026, Spain
Monfort-Ortiz, R:: Hosp Univ Politecn La Fe, Serv Obstet, Valencia 46026, Spain
Martinez-Saez, C:: Hosp Univ Politecn La Fe, Serv Obstet, Valencia 46026, Spain
Perales, A:: Hosp Univ Politecn La Fe, Serv Obstet, Valencia 46026, Spain
Ye-Lin, Y:: Univ Politecn Valencia, Ctr Invest & Innovac Bioingn, Valencia 46022, Spain

Keywords

electrohysterogram; uterine myoelectrical activity; imminent labor prediction; artificial network; tocolytic therapy

Projectes associats

APLICACION DE TECNICAS LAPLACIANAS PARA LA MONITORIZACION DE LA ACTIVIDAD ELECTRICA DEL MUSCULO LISO HUMANO:ENFASIS EN ELECTROHISTEROGRAMA (LAMOHIS)

Investigador Principal: ALFREDO JOSÉ PERALES MARÍN

LAMOHIS PLAN NACIONAL I+D+I 2008-2011 . 2010

CON-CIENCIA-YV: PILDORAS DE SALUD

FCT-13-7457_FECYT_2013 . MINISTERIO DE ECONOMIA Y COMPETITIVIDAD; FUNDACIÓN PARA LA INVESTIGACIÓN DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANA . 2013