Carbone, Ilma Floriana (2015) Identification of ultrasound and genetic variables for the development of algorithms able to optimize the outcome of assisted conception pregnancies and to manage the correlated obstetric risk. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Identification of ultrasound and genetic variables for the development of algorithms able to optimize the outcome of assisted conception pregnancies and to manage the correlated obstetric risk
Autori:
AutoreEmail
Carbone, Ilma Florianailmafloriana@gmail.com
Data: 31 Marzo 2015
Numero di pagine: 116
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Scienze Mediche Traslazionali
Scuola di dottorato: Medicina clinica e sperimentale
Dottorato: Riproduzione, sviluppo ed accrescimento dell'uomo
Ciclo di dottorato: 27
Coordinatore del Corso di dottorato:
nomeemail
Pignata, Claudiopignata@unina.it
Tutor:
nomeemail
Alviggi, Carlo[non definito]
Data: 31 Marzo 2015
Numero di pagine: 116
Parole chiave: combined multi markers algorithm;Reproductive Medicine; Fetal Medicine
Settori scientifico-disciplinari del MIUR: Area 06 - Scienze mediche > MED/40 - Ginecologia e ostetricia
Aree tematiche (7° programma Quadro): SALUTE e TUTELA DEL CONSUMATORE > Ottimizzazione per la prestazione delle cure sanitarie per i cittadini in Europa
Depositato il: 09 Apr 2015 08:48
Ultima modifica: 29 Set 2015 14:44
URI: http://www.fedoa.unina.it/id/eprint/10333

Abstract

This PhD thesis takes in account the complex work already done in Fetal Medicine field in terms of personalized approach to the patient and tries to apply this model to Reproductive Medicine field in order to obtain a standardized flowchart of procedure. The overall framework is laided out in three different research lines. The first research line has been focused on the estimation of assisted conception's impact on pregnancies outcome at the time of first trimester screening ; in particular, it has been studied the impact of assisted reproduction technologies (ART) on the early pre-eclampsia risk . The second research line has been focused on ART population's features, in particular, on the estimation of genetic variables' impact on ovarian response within controlled ovarian stimulation (COS) protocols. The third line focused on two topics: on Reproductive Medicine side, the research aims to explore the potential role of some genetic and ultrasound information in a combined algorithm which can be used as a objective tool for personalizing the management of COS. protocols. On Prenatal Care side, it time to move from personalized risk prediction to prevention: it is here reported the preliminary phase of a double- blind placebo controlled III phase study named ASPRE study, one of the biggest multicentre trial ever thought in Obstetrics which is currently on going (and the candidate is working on) and aims to prevent pre-eclampsia in high risk pregnancies through the prophylactic use of low dose aspirin before 16 weeks

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