Noninvasive prediction models of intra-amniotic infection in women with preterm labor
2022
Cobo, Teresa | Burgos Artizzu, Xavier P. | Collado, María Carmen | Andreu-Fernández, Vicente | Sánchez-García, Ana B. | Filella, Xavier | Marin, Silvia | Cascante, Marta | Bosch, Jordi | Ferrero, Silvia | Boada, David | Murillo, Clara | Rueda, Claudia | Ponce, Júlia | Palacio, Montse | Gratacós, Eduard | Instituto de Salud Carlos III | European Commission | Generalitat de Catalunya | Cobo, Teresa [0000-0003-3130-1829] | Palacio, Montse [0000-0002-5869-4629] | Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
Among women with preterm labor, those with intra-amniotic infection present the highest risk of early delivery and the most adverse outcomes. The identification of intra-amniotic infection requires amniocentesis, perceived as too invasive by women and physicians. Noninvasive methods for identifying intra-amniotic infection and/or early delivery are crucial to focus early efforts on high-risk preterm labor women while avoiding unnecessary interventions in low-risk preterm labor women.
Показать больше [+] Меньше [-]This project has been funded by the Instituto de Salud Carlos III (project identification [PI] 15/00344 and PI 19/0580) and cofunded by the European Union (T.C.). Furthermore, T.C. received funding from PERIS Generalitat de Catalunya under grant number SLT008/18/00126
Показать больше [+] Меньше [-]Peer reviewed
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